diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5eabfd0426b25de646edc0345b322800be84f40e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10159, "bytes_utf8": 10163, "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": 344, "bytes_utf8": 344, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14909, "cached_input_tokens": 13696, "output_tokens": 457, "reasoning_output_tokens": 357}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..34130e1dd4c11b16390f5b9b816255cfd9d7072e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_021918a0c8242b2a", + "api_calls": 0, + "input_tokens": 14909, + "cached_input_tokens": 13696, + "output_tokens": 457, + "total_tokens": 15366, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10576.79, + "sql_execution_elapsed_ms_total": 78.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/conversation.jsonl", + "note": "Executed through a 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_021918a0c8242b2a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..011fb558c23dc19db75577cf64e2f74f604f8749 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:29.958646+00:00", + "ended_at": "2026-05-19T16:02:40.535462+00:00", + "elapsed_ms": 10576.79, + "prompt_metrics": { + "chars": 10159, + "bytes_utf8": 10163, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 707, + "bytes_utf8": 707, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 344, + "bytes_utf8": 344, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14909, + "cached_input_tokens": 13696, + "output_tokens": 457, + "reasoning_output_tokens": 357 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1426874b50b93f885b19edff98c36c9b2f1d8923 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/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 dependency_strength_similarity 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": "Portugal", + "positive_value": "US", + "negative_value": "Portugal", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_021918a0c8242b2a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..76ee55fcf2df79ad23009ef64ae1e53bbb50c51e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-72e3-7cf1-a039-531595958442"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"region_2\\\",\\n AVG(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped condition rate by \\\"region_2\\\", measuring the share of rows where \\\"country\\\" is Portugal.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14909,"cached_input_tokens":13696,"output_tokens":457,"reasoning_output_tokens":357}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cffad7fa25657672c11e2f4b585c8212080dfc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"region_2\",\n AVG(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c18\"\nGROUP BY \"region_2\"\nORDER BY \"condition_rate\" DESC;","notes":"Grouped condition rate by \"region_2\", measuring the share of rows where \"country\" is Portugal."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/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_056bac9afcbf36a8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d0084856dd78b1536c32a7f475aa703cc9a267f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10737, "bytes_utf8": 10741, "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": 715, "bytes_utf8": 715, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 13696, "output_tokens": 702, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a2e1a318d05328415e124cfe2e7b481dfff80998 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_056bac9afcbf36a8", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 702, + "total_tokens": 15762, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25710.0, + "sql_execution_elapsed_ms_total": 91.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/conversation.jsonl", + "note": "Executed through a 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_056bac9afcbf36a8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e3edf77493180b29d069305082381319fe2f905f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/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": "2026-05-19T15:42:22.313433+00:00", + "ended_at": "2026-05-19T15:42:48.023462+00:00", + "elapsed_ms": 25710.0, + "prompt_metrics": { + "chars": 10737, + "bytes_utf8": 10741, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2082, + "bytes_utf8": 2082, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 715, + "bytes_utf8": 715, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15060, + "cached_input_tokens": 13696, + "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_056bac9afcbf36a8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c5c0f1f9cae40c5e9262da1e576e0166be714a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/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=taster_twitter_handle, condition_col=country.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "taster_twitter_handle", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_056bac9afcbf36a8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87167ca361044cf632b5974f416d67474566d779 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e7-056c-71d2-9663-628aa911c1b0"} +{"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 15695. Please try again in 470ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15695. Please try again in 470ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987576, Requested 15695. Please try again in 98ms. 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 \\\"taster_twitter_handle\\\",\\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 \\\"taster_twitter_handle\\\"\\n)\\nSELECT \\\"taster_twitter_handle\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the requested grouped ratio template with group_col=\\\"taster_twitter_handle\\\" and condition_col=\\\"country\\\", computing US-to-Portugal row-count ratio per taster Twitter handle.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15060,"cached_input_tokens":13696,"output_tokens":702,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..acb59e26822710fb84feb07f872c7c4ac9e988ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"taster_twitter_handle\",\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 \"taster_twitter_handle\"\n)\nSELECT \"taster_twitter_handle\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the requested grouped ratio template with group_col=\"taster_twitter_handle\" and condition_col=\"country\", computing US-to-Portugal row-count ratio per taster Twitter handle."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/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_0707b540125b7c00/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..909ce29278d21f42e6ad5d927c9c3947d92227b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9886, "bytes_utf8": 9890, "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": 357, "bytes_utf8": 357, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14855, "cached_input_tokens": 12288, "output_tokens": 239, "reasoning_output_tokens": 140}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a707a3188bf959393c5e3247b7490f7bbf0ec697 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_0707b540125b7c00", + "api_calls": 0, + "input_tokens": 14855, + "cached_input_tokens": 12288, + "output_tokens": 239, + "total_tokens": 15094, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7381.63, + "sql_execution_elapsed_ms_total": 61.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/conversation.jsonl", + "note": "Executed through a 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_0707b540125b7c00/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4b7ba192539339b038d3d57c39066d2bbcc16477 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:15.822180+00:00", + "ended_at": "2026-05-19T16:04:23.203836+00:00", + "elapsed_ms": 7381.63, + "prompt_metrics": { + "chars": 9886, + "bytes_utf8": 9890, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 714, + "bytes_utf8": 714, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 357, + "bytes_utf8": 357, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14855, + "cached_input_tokens": 12288, + "output_tokens": 239, + "reasoning_output_tokens": 140 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_0707b540125b7c00/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2046612848d181487bc7b4bfa2c6165aad2fa948 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/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 count_distribution. Focus on group_col=points.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "points", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_0707b540125b7c00/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b3522519b1b2931fb9d528f3907973cce84634b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-107f-7cd0-8c61-6be84389bf32"} +{"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 \\\"points\\\",\\n COUNT(*) AS support\\nFROM \\\"c18\\\"\\nGROUP BY \\\"points\\\"\\nORDER BY support ASC, \\\"points\\\"\\nLIMIT 15;\",\"notes\":\"Instantiated the Low-Support Group Count template with group_col=\\\"points\\\" and top_k=15, using only the single table \\\"c18\\\" and SQLite-compatible syntax.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14855,"cached_input_tokens":12288,"output_tokens":239,"reasoning_output_tokens":140}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c8443f578b70180c43f8149fdbb81405f0f3e47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"points\",\n COUNT(*) AS support\nFROM \"c18\"\nGROUP BY \"points\"\nORDER BY support ASC, \"points\"\nLIMIT 15;","notes":"Instantiated the Low-Support Group Count template with group_col=\"points\" and top_k=15, using only the single table \"c18\" and SQLite-compatible syntax."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/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_085778c98281b6b1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4409b2adc25b2f2fa300509dbe0d0f154f04e609 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10065, "bytes_utf8": 10069, "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": 586, "bytes_utf8": 586, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14900, "cached_input_tokens": 13696, "output_tokens": 554, "reasoning_output_tokens": 382}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ed8f723571062785f68a0cce580f607f4b952560 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_085778c98281b6b1", + "api_calls": 0, + "input_tokens": 14900, + "cached_input_tokens": 13696, + "output_tokens": 554, + "total_tokens": 15454, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14182.72, + "sql_execution_elapsed_ms_total": 212.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/conversation.jsonl", + "note": "Executed through a 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_085778c98281b6b1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..19841e12d4b9c49efea7ad869fb0da1c83dd64a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:26.100771+00:00", + "ended_at": "2026-05-19T15:46:40.283533+00:00", + "elapsed_ms": 14182.72, + "prompt_metrics": { + "chars": 10065, + "bytes_utf8": 10069, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 975, + "bytes_utf8": 975, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 586, + "bytes_utf8": 586, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14900, + "cached_input_tokens": 13696, + "output_tokens": 554, + "reasoning_output_tokens": 382 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_085778c98281b6b1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f61faf5bd9eeac3dde7d935d3685927669416073 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/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": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_085778c98281b6b1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6e375f945005bf781f866242c28bdc03ed258de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-bdc1-7140-a07f-3a91085706e7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"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 TRIM(\\\"row_id\\\") <> ''\\n)\\nSELECT \\\"row_id\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"row_id\\\" AS INTEGER) DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"row_id\\\" and num_tiles=10. Cast \\\"row_id\\\" to INTEGER for numeric tail ordering because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14900,"cached_input_tokens":13696,"output_tokens":554,"reasoning_output_tokens":382}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d55c9acfd54e37e60f99950b9e837db0f439d9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/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 TRIM(\"row_id\") <> ''\n)\nSELECT \"row_id\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"row_id\" AS INTEGER) DESC;","notes":"Used the Quantile Tail Slice template with measure_col bound to \"row_id\" and num_tiles=10. Cast \"row_id\" to INTEGER for numeric tail ordering because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/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_092c8cc71865a09c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..690915d33659431f24f720b4a6ddb3596e02cb1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"region_2\", \"condition_ratio\"], \"rows\": [{\"region_2\": \"\", \"condition_ratio\": 0.7016341591987348}, {\"region_2\": \"California Other\", \"condition_ratio\": null}, {\"region_2\": \"Central Coast\", \"condition_ratio\": null}, {\"region_2\": \"Central Valley\", \"condition_ratio\": null}, {\"region_2\": \"Columbia Valley\", \"condition_ratio\": null}, {\"region_2\": \"Finger Lakes\", \"condition_ratio\": null}, {\"region_2\": \"Long Island\", \"condition_ratio\": null}, {\"region_2\": \"Napa\", \"condition_ratio\": null}, {\"region_2\": \"Napa-Sonoma\", \"condition_ratio\": null}, {\"region_2\": \"New York Other\", \"condition_ratio\": null}, {\"region_2\": \"North Coast\", \"condition_ratio\": null}, {\"region_2\": \"Oregon Other\", \"condition_ratio\": null}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 89.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5d3be65d74e8b768149c997601c263320a8abce5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_09343ebf8928b7de/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..36a12b1620deecadbc30b245f3fe685d1d75e66b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=region_2. +Result preview: [{"region_2": "", "row_count": 79460}, {"region_2": "Central Coast", "row_count": 11065}, {"region_2": "Sonoma", "row_count": 9028}, {"region_2": "Columbia Valley", "row_count": 8103}, {"region_2": "Napa", "row_count": 6814}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..83eb34f5a5c44601dd1433e846da68109299b1a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_c18_09343ebf8928b7de +-- problem_id: v2p_c18_a5c339c39b45b591 +-- realization_mode: agent +-- source_kind: agent +SELECT "region_2", COUNT(*) AS "row_count" +FROM "c18" +GROUP BY "region_2" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d0a41060128e57fdf03d008a62f456d4d751622b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"region_2\", COUNT(*) AS \"row_count\"\nFROM \"c18\"\nGROUP BY \"region_2\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"region_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"region_2\", \"row_count\"], \"rows\": [{\"region_2\": \"\", \"row_count\": 79460}, {\"region_2\": \"Central Coast\", \"row_count\": 11065}, {\"region_2\": \"Sonoma\", \"row_count\": 9028}, {\"region_2\": \"Columbia Valley\", \"row_count\": 8103}, {\"region_2\": \"Napa\", \"row_count\": 6814}, {\"region_2\": \"Willamette Valley\", \"row_count\": 3423}, {\"region_2\": \"California Other\", \"row_count\": 2663}, {\"region_2\": \"Finger Lakes\", \"row_count\": 1777}, {\"region_2\": \"Sierra Foothills\", \"row_count\": 1462}, {\"region_2\": \"Napa-Sonoma\", \"row_count\": 1169}, {\"region_2\": \"Central Valley\", \"row_count\": 1062}, {\"region_2\": \"Southern Oregon\", \"row_count\": 917}, {\"region_2\": \"Oregon Other\", \"row_count\": 727}, {\"region_2\": \"Long Island\", \"row_count\": 680}, {\"region_2\": \"North Coast\", \"row_count\": 584}, {\"region_2\": \"Washington Other\", \"row_count\": 534}, {\"region_2\": \"South Coast\", \"row_count\": 272}, {\"region_2\": \"New York Other\", \"row_count\": 231}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 67.43}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0544dc4498c3cfcb8ded9dcd4e4d4c05f38817c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:33:47.811167+00:00", + "ended_at": "2026-05-19T15:33:59.950737+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_09343ebf8928b7de", + "problem_id": "v2p_c18_a5c339c39b45b591", + "dataset_id": "c18", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=region_2.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=17" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_09343ebf8928b7de.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..856f891ac74511c56d0d705bd0ed7702e5b47b2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:59.881516+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12041.21, "started_at": "2026-05-19T15:33:47.839422+00:00", "ended_at": "2026-05-19T15:33:59.880669+00:00", "prompt_metrics": {"chars": 9805, "bytes_utf8": 9809, "lines": 262, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c33b924a5e35757aa4019e4566dd2873c42060ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_09343ebf8928b7de/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_0a33ccd0c47907a7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0e38d63dff0d9c37bd56b4ba2656d90d65d79a5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10064, "bytes_utf8": 10068, "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": 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": 10064, "bytes_utf8": 10068, "lines": 264, "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": 714, "bytes_utf8": 714, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14881, "cached_input_tokens": 13696, "output_tokens": 2037, "reasoning_output_tokens": 1843}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c6dc2e7e35e02570333b7ab8693b6fd3689430e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_0a33ccd0c47907a7", + "api_calls": 0, + "input_tokens": 14881, + "cached_input_tokens": 13696, + "output_tokens": 2037, + "total_tokens": 16918, + "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": 39871.79, + "sql_execution_elapsed_ms_total": 93.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/conversation.jsonl", + "note": "Executed through a 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_0a33ccd0c47907a7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..53bb16bede7875d21a6c5815bfd7b41871fe645c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:44.334845+00:00", + "ended_at": "2026-05-19T15:53:47.052915+00:00", + "elapsed_ms": 2718.03, + "returncode": 1, + "prompt_metrics": { + "chars": 10064, + "bytes_utf8": 10068, + "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_0a33ccd0c47907a7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..37bd7303d8236cc93e33601247db8abf0dcb8743 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:48.055606+00:00", + "ended_at": "2026-05-19T15:54:25.209415+00:00", + "elapsed_ms": 37153.76, + "prompt_metrics": { + "chars": 10064, + "bytes_utf8": 10068, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1111, + "bytes_utf8": 1111, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 714, + "bytes_utf8": 714, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14881, + "cached_input_tokens": 13696, + "output_tokens": 2037, + "reasoning_output_tokens": 1843 + } + }, + "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_0a33ccd0c47907a7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f184e597ba7e34cd46a30483b5f10b818257c850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/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=price.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "price", + "measure_col": "price", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_0a33ccd0c47907a7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f184e597ba7e34cd46a30483b5f10b818257c850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/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=price, measure_col=price.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "price", + "measure_col": "price", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_0a33ccd0c47907a7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf274a4139f6a7b5b9ea2283f51baf8b323ce50c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-6d9f-7773-9b0d-252d1c506964"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_0a33ccd0c47907a7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2421ceb3a39fc85d3906d0be89301e756c11d09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-6d9f-7773-9b0d-252d1c506964"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_0a33ccd0c47907a7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bf8dd9ac658e09044d55f35b6d2b365684edc83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-7c25-7ff2-aa4c-4152719518d2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT CAST(\\\"price\\\" AS REAL) AS \\\"price_value\\\"\\n FROM \\\"c18\\\"\\n WHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\n)\\nSELECT\\n \\\"price_value\\\" AS \\\"price\\\",\\n \\\"price_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"base\\\"\\nGROUP BY \\\"price_value\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 16;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, and with group_col=\\\"price\\\" and measure_col=\\\"price\\\", the grouped 90th-percentile value is the price itself for each group. The query casts TEXT prices to REAL, excludes blank prices, applies the provided minimum group size of 5, and returns the top 16 ranked price groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14881,"cached_input_tokens":13696,"output_tokens":2037,"reasoning_output_tokens":1843}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..633efa834fc81f9121c01bac59a18f525ee86d43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT CAST(\"price\" AS REAL) AS \"price_value\"\n FROM \"c18\"\n WHERE NULLIF(\"price\", '') IS NOT NULL\n)\nSELECT\n \"price_value\" AS \"price\",\n \"price_value\" AS \"percentile_measure\"\nFROM \"base\"\nGROUP BY \"price_value\"\nHAVING COUNT(*) >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 16;","notes":"SQLite does not support PERCENTILE_CONT, and with group_col=\"price\" and measure_col=\"price\", the grouped 90th-percentile value is the price itself for each group. The query casts TEXT prices to REAL, excludes blank prices, applies the provided minimum group size of 5, and returns the top 16 ranked price groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/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_0a33ccd0c47907a7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/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_0d91f8cc08721aeb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1a9836a14073a545c1b8ebbf6e48a8193d501511 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10289, "bytes_utf8": 10293, "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": 772, "bytes_utf8": 772, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14960, "cached_input_tokens": 12032, "output_tokens": 1104, "reasoning_output_tokens": 893}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c4fcb3a5e86718a065c94d9addccdc4e0caf0866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_0d91f8cc08721aeb", + "api_calls": 0, + "input_tokens": 14960, + "cached_input_tokens": 12032, + "output_tokens": 1104, + "total_tokens": 16064, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20174.05, + "sql_execution_elapsed_ms_total": 106.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/conversation.jsonl", + "note": "Executed through a 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_0d91f8cc08721aeb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..15f3562939593cb59451636d184f2c5eae27cf63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:13.160015+00:00", + "ended_at": "2026-05-19T15:36:33.334100+00:00", + "elapsed_ms": 20174.05, + "prompt_metrics": { + "chars": 10289, + "bytes_utf8": 10293, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1164, + "bytes_utf8": 1164, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 772, + "bytes_utf8": 772, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14960, + "cached_input_tokens": 12032, + "output_tokens": 1104, + "reasoning_output_tokens": 893 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_0d91f8cc08721aeb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d629a7eaca8d02196384a1ec91718b71b37939f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/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=price, measure_col=price.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "price", + "measure_col": "price", + "item_col": "price", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, {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_0d91f8cc08721aeb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..04e549b925bdafe2877efda5e3d639d0981c0ea6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-6396-7983-9856-64f6fda12a9a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"price\\\" AS \\\"group_col\\\",\\n \\\"price\\\" AS \\\"item_col\\\",\\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 \\\"price\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nWHERE \\\"price\\\" IS NOT NULL AND \\\"price\\\" <> ''\\nGROUP BY \\\"price\\\", \\\"price\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=item_col=price and cast \\\"price\\\" to REAL because the schema stores it as TEXT. Empty price values are filtered out. Because group_col and item_col are identical, each grouped row represents a single price bucket, so share_within_group will evaluate to 100.0 for each returned price value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14960,"cached_input_tokens":12032,"output_tokens":1104,"reasoning_output_tokens":893}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..645f4f8a77a8e02a06c59a2d0fa97ac89cb6151b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"price\" AS \"group_col\",\n \"price\" AS \"item_col\",\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 \"price\") AS share_within_group\nFROM \"c18\"\nWHERE \"price\" IS NOT NULL AND \"price\" <> ''\nGROUP BY \"price\", \"price\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=item_col=price and cast \"price\" to REAL because the schema stores it as TEXT. Empty price values are filtered out. Because group_col and item_col are identical, each grouped row represents a single price bucket, so share_within_group will evaluate to 100.0 for each returned price value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/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_0e4fadc743aa552b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..52cd42a58ee8b70c0c3e64bd3f49fe84a1ed088b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10445, "bytes_utf8": 10449, "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": 829, "bytes_utf8": 829, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14985, "cached_input_tokens": 12032, "output_tokens": 691, "reasoning_output_tokens": 462}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..05c9d0ba7735d0d19a614841caca85bfef57f91b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_0e4fadc743aa552b", + "api_calls": 0, + "input_tokens": 14985, + "cached_input_tokens": 12032, + "output_tokens": 691, + "total_tokens": 15676, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12515.45, + "sql_execution_elapsed_ms_total": 58.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/conversation.jsonl", + "note": "Executed through a 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_0e4fadc743aa552b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a8093234e79680a80a61edc30724941de9d6b174 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:15.808139+00:00", + "ended_at": "2026-05-19T15:50:28.323615+00:00", + "elapsed_ms": 12515.45, + "prompt_metrics": { + "chars": 10445, + "bytes_utf8": 10449, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1217, + "bytes_utf8": 1217, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 829, + "bytes_utf8": 829, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14985, + "cached_input_tokens": 12032, + "output_tokens": 691, + "reasoning_output_tokens": 462 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_0e4fadc743aa552b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f13adbe1e2d11828e9fe03be69229d27320b3cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/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=region_2, measure_col=price.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "region_2", + "measure_col": "price", + "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": "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_0e4fadc743aa552b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..99e5e9d48321584da4ed343051be92ce6460d829 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-3f04-7492-997e-7163585c50de"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"region_2\\\",\\n SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) AS group_value\\n FROM \\\"c18\\\"\\n WHERE NULLIF(\\\"region_2\\\", '') IS NOT NULL\\n AND NULLIF(\\\"price\\\", '') IS NOT NULL\\n GROUP BY \\\"region_2\\\"\\n),\\ntotal AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"region_2\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"region_2\\\" and measure_col=\\\"price\\\". Because \\\"price\\\" is stored as TEXT and may be empty, the query filters empty values and casts non-empty prices to REAL before summing; it also filters empty \\\"region_2\\\" values for a stable grouped result.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14985,"cached_input_tokens":12032,"output_tokens":691,"reasoning_output_tokens":462}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a848791281a66c0222931b47c65c8b8bf747adb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"region_2\",\n SUM(CAST(NULLIF(\"price\", '') AS REAL)) AS group_value\n FROM \"c18\"\n WHERE NULLIF(\"region_2\", '') IS NOT NULL\n AND NULLIF(\"price\", '') IS NOT NULL\n GROUP BY \"region_2\"\n),\ntotal AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"region_2\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the planned template with group_col=\"region_2\" and measure_col=\"price\". Because \"price\" is stored as TEXT and may be empty, the query filters empty values and casts non-empty prices to REAL before summing; it also filters empty \"region_2\" values for a stable grouped result."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0e4fadc743aa552b/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_1061bf3d3c936da4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b27ddea8482edd283da39e3e2d8ac148485318bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10440, "bytes_utf8": 10444, "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": 819, "bytes_utf8": 819, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14979, "cached_input_tokens": 13696, "output_tokens": 667, "reasoning_output_tokens": 452}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..18b9ffd9156d06862178d7d76b3d77a76a143a04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_1061bf3d3c936da4", + "api_calls": 0, + "input_tokens": 14979, + "cached_input_tokens": 13696, + "output_tokens": 667, + "total_tokens": 15646, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15756.18, + "sql_execution_elapsed_ms_total": 108.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/conversation.jsonl", + "note": "Executed through a 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_1061bf3d3c936da4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5dc5c9d2ddff56c41628b523cd913703a74b0a23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/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": "2026-05-19T15:49:38.623651+00:00", + "ended_at": "2026-05-19T15:49:54.379868+00:00", + "elapsed_ms": 15756.18, + "prompt_metrics": { + "chars": 10440, + "bytes_utf8": 10444, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1218, + "bytes_utf8": 1218, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 819, + "bytes_utf8": 819, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14979, + "cached_input_tokens": 13696, + "output_tokens": 667, + "reasoning_output_tokens": 452 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_1061bf3d3c936da4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a88214a69701e95015cdbe244dab59413d01a112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/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 count_distribution. 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": 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": "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_1061bf3d3c936da4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7c8d6117dd702a85fc88532284ad6ec1e7c3668 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-add2-70c2-9464-e81cb40341f9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"price\\\", SUM(CAST(\\\"points\\\" AS REAL)) AS group_value\\n FROM \\\"c18\\\"\\n WHERE \\\"price\\\" IS NOT NULL\\n AND \\\"price\\\" <> ''\\n AND \\\"points\\\" IS NOT NULL\\n AND \\\"points\\\" <> ''\\n GROUP BY \\\"price\\\"\\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 * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned relative-to-total threshold template with group_col=\\\"price\\\" and measure_col=\\\"points\\\". Because both columns are stored as TEXT in SQLite, the query casts \\\"points\\\" to REAL for aggregation and filters out blank/null \\\"price\\\" and \\\"points\\\" values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14979,"cached_input_tokens":13696,"output_tokens":667,"reasoning_output_tokens":452}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..091a8586f08e3ef7b864cdbd4d4334046d3117c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"price\", SUM(CAST(\"points\" AS REAL)) AS group_value\n FROM \"c18\"\n WHERE \"price\" IS NOT NULL\n AND \"price\" <> ''\n AND \"points\" IS NOT NULL\n AND \"points\" <> ''\n GROUP BY \"price\"\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 * 0.1\nORDER BY g.group_value DESC;","notes":"Used the planned relative-to-total threshold template with group_col=\"price\" and measure_col=\"points\". Because both columns are stored as TEXT in SQLite, the query casts \"points\" to REAL for aggregation and filters out blank/null \"price\" and \"points\" values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1061bf3d3c936da4/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_118e9f9560b554d7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9f15b26355d41c5b9b3bc60e70e4723b0b17bcef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/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": "2026-05-19T16:07:29.217862+00:00", + "ended_at": "2026-05-19T16:07:32.393718+00:00", + "elapsed_ms": 3175.83, + "returncode": 1, + "prompt_metrics": { + "chars": 9978, + "bytes_utf8": 9982, + "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_118e9f9560b554d7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..07aa619ec5fb3380cca5c0d6f9c6d8560ac776d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/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": "2026-05-19T16:07:33.396005+00:00", + "ended_at": "2026-05-19T16:07:36.484362+00:00", + "elapsed_ms": 3088.3, + "returncode": 1, + "prompt_metrics": { + "chars": 9978, + "bytes_utf8": 9982, + "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_118e9f9560b554d7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3f2c9ea952e2bfed1970d7028b74ba881515f3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=points, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_118e9f9560b554d7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3f2c9ea952e2bfed1970d7028b74ba881515f3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=points, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_118e9f9560b554d7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f4648682a2852dad7ac03e6d1c410051ad25e04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-03a9-7b51-b55e-4ee07ba4c605"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_118e9f9560b554d7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cc17b9899043c85f1b7288e8473e2df6e4ad9b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-03a9-7b51-b55e-4ee07ba4c605"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_118e9f9560b554d7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..15e173a8000a37d11e76fffd6f361efbab60bb43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-1414-70e0-b446-0b917309c325"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_118e9f9560b554d7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..56407d798f2ed60d09d45f8b64e1d68564f4b4da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_118e9f9560b554d7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-1414-70e0-b446-0b917309c325"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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"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": 412, "bytes_utf8": 412, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14905, "cached_input_tokens": 12032, "output_tokens": 310, "reasoning_output_tokens": 205}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e756a240bcf25416105ff505163b86271e111b39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_13a51e8a6f551f6f", + "api_calls": 0, + "input_tokens": 14905, + "cached_input_tokens": 12032, + "output_tokens": 310, + "total_tokens": 15215, + "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": 11573.48, + "sql_execution_elapsed_ms_total": 91.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/conversation.jsonl", + "note": "Executed through a 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_13a51e8a6f551f6f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..90261c83369e44dcefcfc04d100d6e713fb56457 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/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": "2026-05-19T16:00:07.772512+00:00", + "ended_at": "2026-05-19T16:00:10.960558+00:00", + "elapsed_ms": 3188.01, + "returncode": 1, + "prompt_metrics": { + "chars": 10153, + "bytes_utf8": 10157, + "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_13a51e8a6f551f6f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cc3b0c87ed97e17fd6448b21f1b8b1ee79446f19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/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": "2026-05-19T16:00:11.962450+00:00", + "ended_at": "2026-05-19T16:00:20.347959+00:00", + "elapsed_ms": 8385.47, + "prompt_metrics": { + "chars": 10153, + "bytes_utf8": 10157, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 767, + "bytes_utf8": 767, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 412, + "bytes_utf8": 412, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14905, + "cached_input_tokens": 12032, + "output_tokens": 310, + "reasoning_output_tokens": 205 + } + }, + "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_13a51e8a6f551f6f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4118c2b27657bc03baeb2188132eee8856fd8cd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/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 dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "Portugal", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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 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_13a51e8a6f551f6f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4118c2b27657bc03baeb2188132eee8856fd8cd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/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 dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "Portugal", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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 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_13a51e8a6f551f6f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a8c4995b909c05836f85be5ee3aec9e9fea6a4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-476b-7c92-9ba0-70f8e1f3abb4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_13a51e8a6f551f6f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c39138629533529ae31c5e4c2c2e903a11ea7fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-476b-7c92-9ba0-70f8e1f3abb4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_13a51e8a6f551f6f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..03fac9ebb443e3da79b3d89513c0504ff3691ba7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-57d8-7d41-99b6-44526ee7db04"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"price\\\",\\n AVG(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c18\\\"\\nGROUP BY \\\"price\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col=\\\"price\\\" and condition_col=\\\"country\\\", measuring the share of rows in each price group where country is Portugal.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14905,"cached_input_tokens":12032,"output_tokens":310,"reasoning_output_tokens":205}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0505bba64163fb5784ac6dce8c6a61110bd8101 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"price\",\n AVG(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c18\"\nGROUP BY \"price\"\nORDER BY condition_rate DESC;","notes":"Uses the required Grouped Condition Rate template with group_col=\"price\" and condition_col=\"country\", measuring the share of rows in each price group where country is Portugal."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/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_13a51e8a6f551f6f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13a51e8a6f551f6f/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_13aa0ee42942e03a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb48cd468e9a44a995d4c6440b69e7934e9eda87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9828, "bytes_utf8": 9832, "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": 454, "bytes_utf8": 454, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14834, "cached_input_tokens": 12032, "output_tokens": 435, "reasoning_output_tokens": 306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..096735fe96f137588d82fd399c647461177e21d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_13aa0ee42942e03a", + "api_calls": 0, + "input_tokens": 14834, + "cached_input_tokens": 12032, + "output_tokens": 435, + "total_tokens": 15269, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9932.97, + "sql_execution_elapsed_ms_total": 44.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/conversation.jsonl", + "note": "Executed through a 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_13aa0ee42942e03a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..63766c34b70ece93e29c42f6172e938fb6d921a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:50.262032+00:00", + "ended_at": "2026-05-19T16:03:00.195035+00:00", + "elapsed_ms": 9932.97, + "prompt_metrics": { + "chars": 9828, + "bytes_utf8": 9832, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 806, + "bytes_utf8": 806, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 454, + "bytes_utf8": 454, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14834, + "cached_input_tokens": 12032, + "output_tokens": 435, + "reasoning_output_tokens": 306 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_13aa0ee42942e03a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43ae0529de2977972b70c11e029a643df4d5c4aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/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_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=points.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "points", + "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": 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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0f2ee69229c8e577782ae9946c7a335dca81d36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-c21e-7e41-b601-4aa565474367"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(NULLIF(\\\"points\\\", '') AS REAL) <= 90.0 THEN 1.0 WHEN NULLIF(\\\"points\\\", '') IS NOT NULL THEN 0.0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c18\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col=\\\"points\\\" and measure_threshold=90.0. Since \\\"points\\\" is stored as TEXT, the query casts non-empty values to REAL and excludes blank values from the AVG.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14834,"cached_input_tokens":12032,"output_tokens":435,"reasoning_output_tokens":306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..30a253d399193b1dc0934c71e393adfb14b86052 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(NULLIF(\"points\", '') AS REAL) <= 90.0 THEN 1.0 WHEN NULLIF(\"points\", '') IS NOT NULL THEN 0.0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c18\";","notes":"Applied the Threshold Rarity CDF template with measure_col=\"points\" and measure_threshold=90.0. Since \"points\" is stored as TEXT, the query casts non-empty values to REAL and excludes blank values from the AVG."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_13aa0ee42942e03a/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_16d30693e17dceb2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..926ef75a65343e8efc3f40327a7408b82d8463f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10071, "bytes_utf8": 10075, "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": 1729, "bytes_utf8": 1729, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14883, "cached_input_tokens": 12032, "output_tokens": 3152, "reasoning_output_tokens": 2588}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ebde25c9cc7ffb6bd772e092032c619d17dd91d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_16d30693e17dceb2", + "api_calls": 0, + "input_tokens": 14883, + "cached_input_tokens": 12032, + "output_tokens": 3152, + "total_tokens": 18035, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 48798.43, + "sql_execution_elapsed_ms_total": 452.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/conversation.jsonl", + "note": "Executed through a 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_16d30693e17dceb2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ccc21cedb76d297245035733ff904d47513d66fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/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": "2026-05-19T15:58:01.349803+00:00", + "ended_at": "2026-05-19T15:58:50.148257+00:00", + "elapsed_ms": 48798.43, + "prompt_metrics": { + "chars": 10071, + "bytes_utf8": 10075, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2316, + "bytes_utf8": 2316, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1729, + "bytes_utf8": 1729, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14883, + "cached_input_tokens": 12032, + "output_tokens": 3152, + "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_16d30693e17dceb2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff3cfe4627363f86d891ca1923fa49a94cfd5264 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/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=points, measure_col=row_id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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},\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_16d30693e17dceb2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..450a6ea07a2a1c8c38a8b3c0d6e8b14a9f9975ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-598d-7ce1-8636-6292ec1dab4c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"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 (PARTITION BY \\\"points\\\") AS \\\"cnt\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"points\\\" IS NOT NULL\\n AND TRIM(\\\"points\\\") <> ''\\n AND \\\"row_id\\\" IS NOT NULL\\n AND TRIM(\\\"row_id\\\") <> ''\\n),\\n\\\"stats\\\" AS (\\n SELECT DISTINCT\\n \\\"points\\\",\\n \\\"cnt\\\",\\n ((\\\"cnt\\\" - 1) * 0.9) AS \\\"base_pos\\\",\\n CAST((\\\"cnt\\\" - 1) * 0.9 AS INTEGER) + 1 AS \\\"low_rn\\\",\\n CASE\\n WHEN ((\\\"cnt\\\" - 1) * 0.9) = CAST((\\\"cnt\\\" - 1) * 0.9 AS INTEGER)\\n THEN CAST((\\\"cnt\\\" - 1) * 0.9 AS INTEGER) + 1\\n ELSE CAST((\\\"cnt\\\" - 1) * 0.9 AS INTEGER) + 2\\n END AS \\\"high_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n s.\\\"points\\\",\\n CASE\\n WHEN s.\\\"low_rn\\\" = s.\\\"high_rn\\\" THEN lo.\\\"measure_value\\\"\\n ELSE lo.\\\"measure_value\\\" + ((s.\\\"base_pos\\\" - CAST(s.\\\"base_pos\\\" AS INTEGER)) * (hi.\\\"measure_value\\\" - lo.\\\"measure_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"stats\\\" AS s\\nJOIN \\\"ordered\\\" AS lo\\n ON lo.\\\"points\\\" = s.\\\"points\\\"\\n AND lo.\\\"rn\\\" = s.\\\"low_rn\\\"\\nJOIN \\\"ordered\\\" AS hi\\n ON hi.\\\"points\\\" = s.\\\"points\\\"\\n AND hi.\\\"rn\\\" = s.\\\"high_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 90th percentile per \\\"points\\\" group using windowed ordering on CAST(\\\"row_id\\\" AS REAL) with linear interpolation between bounding ranks. It excludes blank/null \\\"points\\\" and \\\"row_id\\\" values and applies the provided minimum group size of 5.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14883,"cached_input_tokens":12032,"output_tokens":3152,"reasoning_output_tokens":2588}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..25f2f2f07fa1f2c964f092930f7f29ac7cbc2bb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" 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 (PARTITION BY \"points\") AS \"cnt\"\n FROM \"c18\"\n WHERE \"points\" IS NOT NULL\n AND TRIM(\"points\") <> ''\n AND \"row_id\" IS NOT NULL\n AND TRIM(\"row_id\") <> ''\n),\n\"stats\" AS (\n SELECT DISTINCT\n \"points\",\n \"cnt\",\n ((\"cnt\" - 1) * 0.9) AS \"base_pos\",\n CAST((\"cnt\" - 1) * 0.9 AS INTEGER) + 1 AS \"low_rn\",\n CASE\n WHEN ((\"cnt\" - 1) * 0.9) = CAST((\"cnt\" - 1) * 0.9 AS INTEGER)\n THEN CAST((\"cnt\" - 1) * 0.9 AS INTEGER) + 1\n ELSE CAST((\"cnt\" - 1) * 0.9 AS INTEGER) + 2\n END AS \"high_rn\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n s.\"points\",\n CASE\n WHEN s.\"low_rn\" = s.\"high_rn\" THEN lo.\"measure_value\"\n ELSE lo.\"measure_value\" + ((s.\"base_pos\" - CAST(s.\"base_pos\" AS INTEGER)) * (hi.\"measure_value\" - lo.\"measure_value\"))\n END AS \"percentile_measure\"\nFROM \"stats\" AS s\nJOIN \"ordered\" AS lo\n ON lo.\"points\" = s.\"points\"\n AND lo.\"rn\" = s.\"low_rn\"\nJOIN \"ordered\" AS hi\n ON hi.\"points\" = s.\"points\"\n AND hi.\"rn\" = s.\"high_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 90th percentile per \"points\" group using windowed ordering on CAST(\"row_id\" AS REAL) with linear interpolation between bounding ranks. It excludes blank/null \"points\" and \"row_id\" values and applies the provided minimum group size of 5."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_16d30693e17dceb2/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_17c8e5a48e44d941/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc334a728fea4dba56d68046a99d3ecbd75a85bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9829, "bytes_utf8": 9833, "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": 9829, "bytes_utf8": 9833, "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": 450, "bytes_utf8": 450, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14834, "cached_input_tokens": 12032, "output_tokens": 383, "reasoning_output_tokens": 257}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aa0b814fe0b03a8f3a727456fdf3cd84037c6724 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_17c8e5a48e44d941", + "api_calls": 0, + "input_tokens": 14834, + "cached_input_tokens": 12032, + "output_tokens": 383, + "total_tokens": 15217, + "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": 13065.64, + "sql_execution_elapsed_ms_total": 56.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/conversation.jsonl", + "note": "Executed through a 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_17c8e5a48e44d941/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a73adeca689ec2053e777e2a49c810df7d14331c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:29.009421+00:00", + "ended_at": "2026-05-19T16:03:32.525155+00:00", + "elapsed_ms": 3515.7, + "returncode": 1, + "prompt_metrics": { + "chars": 9829, + "bytes_utf8": 9833, + "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_17c8e5a48e44d941/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a67dfec7bf8192b281004b183278f4ad66be5683 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:33.527162+00:00", + "ended_at": "2026-05-19T16:03:43.077144+00:00", + "elapsed_ms": 9549.94, + "prompt_metrics": { + "chars": 9829, + "bytes_utf8": 9833, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 799, + "bytes_utf8": 799, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 450, + "bytes_utf8": 450, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14834, + "cached_input_tokens": 12032, + "output_tokens": 383, + "reasoning_output_tokens": 257 + } + }, + "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_17c8e5a48e44d941/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1661f5ad56894745f742ac8fb680cc71c5e3b6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/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_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=points.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "points", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1661f5ad56894745f742ac8fb680cc71c5e3b6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/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_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=points.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "points", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..11505a38db86de7c07df24ed5a13f2388d35f9ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-5988-7303-b2f6-d68bd7a97158"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_17c8e5a48e44d941/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1883c2cc3e2495e560b24b7c804a39e61caf130c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-5988-7303-b2f6-d68bd7a97158"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_17c8e5a48e44d941/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..40b6db067527bb5ab76824d89e89861eee901f41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-6b25-7102-b3f3-7ba4711c39b0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(NULLIF(\\\"points\\\", '') AS REAL) <= 90.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c18\\\"\\nWHERE NULLIF(\\\"points\\\", '') IS NOT NULL;\",\"notes\":\"Uses the Threshold Rarity CDF template with measure_col bound to \\\"points\\\" and measure_threshold fixed at 90.0. NULL/empty point values are excluded so text-typed missing values do not distort the empirical CDF.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14834,"cached_input_tokens":12032,"output_tokens":383,"reasoning_output_tokens":257}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7381652775bb33ff8833cc0ada89b436e105799a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(NULLIF(\"points\", '') AS REAL) <= 90.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c18\"\nWHERE NULLIF(\"points\", '') IS NOT NULL;","notes":"Uses the Threshold Rarity CDF template with measure_col bound to \"points\" and measure_threshold fixed at 90.0. NULL/empty point values are excluded so text-typed missing values do not distort the empirical CDF."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/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_17c8e5a48e44d941/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_17c8e5a48e44d941/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_199e33f2bf505854/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c407f5807f53c7cc286ab561e7807fc712ab8a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=taster_twitter_handle, measure_col=row_id. +Result preview: [{"taster_twitter_handle": "@winewchristina", "designation": "", "total_measure": 254194, "share_within_group": 76.25461603304645}, {"taster_twitter_handle": "@gordone_cellars", "designation": "", "total_measure": 100384236, "share_within_group": 36.328786177925295}, {"taster_twitter_handle": "@suskostrzewa", "designation": "", "total_measure": 24227066, "share_within_group": 36.07315765935561}, {"taster_twitter_handle": "@bkfiona", "designation": "", "total_measure": 686451, "share_within_group": 35.92394987557861}, {"taster_twitter_handle": "@JoeCz", "designation": "", "total_measure": 110714728, "share_within_group": 33.0851305435656}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a61e352ec4189f52ffbbf62ae8cb4f9ea2dece80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c18_199e33f2bf505854 +-- problem_id: v2p_c18_3d6d761ceabecce0 +-- realization_mode: agent +-- source_kind: agent +SELECT "taster_twitter_handle", "designation", + SUM(CAST(NULLIF("row_id", '') AS INTEGER)) AS total_measure, + SUM(CAST(NULLIF("row_id", '') AS INTEGER)) * 100.0 + / SUM(SUM(CAST(NULLIF("row_id", '') AS INTEGER))) OVER (PARTITION BY "taster_twitter_handle") AS share_within_group +FROM "c18" +GROUP BY "taster_twitter_handle", "designation" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bc7d86d546f79f68be883bdb53926e2850033a63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"taster_twitter_handle\", \"designation\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"taster_twitter_handle\": \"@winewchristina\", \"designation\": \"\", \"total_measure\": 254194, \"share_within_group\": 76.25461603304645}, {\"taster_twitter_handle\": \"@gordone_cellars\", \"designation\": \"\", \"total_measure\": 100384236, \"share_within_group\": 36.328786177925295}, {\"taster_twitter_handle\": \"@suskostrzewa\", \"designation\": \"\", \"total_measure\": 24227066, \"share_within_group\": 36.07315765935561}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"\", \"total_measure\": 686451, \"share_within_group\": 35.92394987557861}, {\"taster_twitter_handle\": \"@JoeCz\", \"designation\": \"\", \"total_measure\": 110714728, \"share_within_group\": 33.0851305435656}, {\"taster_twitter_handle\": \"@laurbuzz\", \"designation\": \"\", \"total_measure\": 37433786, \"share_within_group\": 31.911815812477823}, {\"taster_twitter_handle\": \"\", \"designation\": \"\", \"total_measure\": 641034881, \"share_within_group\": 31.755445876936783}, {\"taster_twitter_handle\": \"@paulgwine\", \"designation\": \"\", \"total_measure\": 194861649, \"share_within_group\": 31.72264876418708}, {\"taster_twitter_handle\": \"@kerinokeefe\", \"designation\": \"\", \"total_measure\": 208796159, \"share_within_group\": 29.926264999039017}, {\"taster_twitter_handle\": \"@vossroger\", \"designation\": \"\", \"total_measure\": 481920096, \"share_within_group\": 29.2933787093709}, {\"taster_twitter_handle\": \"@mattkettmann\", \"designation\": \"\", \"total_measure\": 121470240, \"share_within_group\": 28.963746578996524}, {\"taster_twitter_handle\": \"@vboone\", \"designation\": \"\", \"total_measure\": 181159458, \"share_within_group\": 28.94165412489955}, {\"taster_twitter_handle\": \"@wawinereport\", \"designation\": \"\", \"total_measure\": 94748929, \"share_within_group\": 28.238614020401748}, {\"taster_twitter_handle\": \"@worldwineguys\", \"designation\": \"\", \"total_measure\": 15768242, \"share_within_group\": 22.878940861747445}, {\"taster_twitter_handle\": \"@wineschach\", \"designation\": \"\", \"total_measure\": 186721589, \"share_within_group\": 19.10224409191401}, {\"taster_twitter_handle\": \"@winewchristina\", \"designation\": \"Blanc de Noirs\", \"total_measure\": 59324, \"share_within_group\": 17.796363570912167}, {\"taster_twitter_handle\": \"@AnneInVino\", \"designation\": \"\", \"total_measure\": 36926246, \"share_within_group\": 15.044336373508123}, {\"taster_twitter_handle\": \"@wineschach\", \"designation\": \"Reserva\", \"total_measure\": 66167095, \"share_within_group\": 6.769115485316822}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Hafoty Fawr\", \"total_measure\": 127071, \"share_within_group\": 6.649989925922824}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Brut\", \"total_measure\": 121296, \"share_within_group\": 6.347767610664392}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Blanc de Noirs\", \"total_measure\": 121295, \"share_within_group\": 6.347715277795949}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Bodysgallen\", \"total_measure\": 121275, \"share_within_group\": 6.346668620427089}, {\"taster_twitter_handle\": \"@winewchristina\", \"designation\": \"The Struie\", \"total_measure\": 19831, \"share_within_group\": 5.949020396041386}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Cellar Reserve\", \"total_measure\": 113333, \"share_within_group\": 5.931040979252634}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Reserve\", \"total_measure\": 107519, \"share_within_group\": 5.626777682124923}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Private Reserve Double Barrel\", \"total_measure\": 99198, \"share_within_group\": 5.1913158838105655}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Chevaux Noir\", \"total_measure\": 97097, \"share_within_group\": 5.081364527211783}, {\"taster_twitter_handle\": \"@worldwineguys\", \"designation\": \"Reserve\", \"total_measure\": 3356888, \"share_within_group\": 4.870678800560624}, {\"taster_twitter_handle\": \"@kerinokeefe\", \"designation\": \"Riserva\", \"total_measure\": 29410479, \"share_within_group\": 4.215335150407015}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Sauvage\", \"total_measure\": 79468, \"share_within_group\": 4.158788389429807}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Estate Reserve\", \"total_measure\": 75799, \"share_within_group\": 3.9667790951123716}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Viviano\", \"total_measure\": 74502, \"share_within_group\": 3.8989033647417766}, {\"taster_twitter_handle\": \"@gordone_cellars\", \"designation\": \"Estate\", \"total_measure\": 8629398, \"share_within_group\": 3.1229560265440104}, {\"taster_twitter_handle\": \"@paulgwine\", \"designation\": \"Estate\", \"total_measure\": 17566156, \"share_within_group\": 2.859695582915433}, {\"taster_twitter_handle\": \"@suskostrzewa\", \"designation\": \"Reserve\", \"total_measure\": 1791124, \"share_within_group\": 2.6669138739067972}, {\"taster_twitter_handle\": \"@mattkettmann\", \"designation\": \"Estate\", \"total_measure\": 10917626, \"share_within_group\": 2.603233126963967}, {\"taster_twitter_handle\": \"@paulgwine\", \"designation\": \"Reserve\", \"total_measure\": 15770397, \"share_within_group\": 2.567353645369129}, {\"taster_twitter_handle\": \"@vboone\", \"designation\": \"Reserve\", \"total_measure\": 15224612, \"share_within_group\": 2.4322520035900923}, {\"taster_twitter_handle\": \"\", \"designation\": \"Reserve\", \"total_measure\": 47945579, \"share_within_group\": 2.375117616997345}, {\"taster_twitter_handle\": \"@wawinereport\", \"designation\": \"Reserve\", \"total_measure\": 7653776, \"share_within_group\": 2.281102578611885}, {\"taster_twitter_handle\": \"@vboone\", \"designation\": \"Estate\", \"total_measure\": 13717722, \"share_within_group\": 2.191514425404857}, {\"taster_twitter_handle\": \"@wineschach\", \"designation\": \"Crianza\", \"total_measure\": 21398423, \"share_within_group\": 2.1891303598965566}, {\"taster_twitter_handle\": \"@laurbuzz\", \"designation\": \"Reserve\", \"total_measure\": 2501785, \"share_within_group\": 2.1327391817226244}, {\"taster_twitter_handle\": \"@vboone\", \"designation\": \"Estate Grown\", \"total_measure\": 12579471, \"share_within_group\": 2.009669838801374}, {\"taster_twitter_handle\": \"@mattkettmann\", \"designation\": \"Reserve\", \"total_measure\": 8305766, \"share_within_group\": 1.9804530028791056}, {\"taster_twitter_handle\": \"@AnneInVino\", \"designation\": \"Tradition\", \"total_measure\": 4808197, \"share_within_group\": 1.9589354687745035}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Colorado's\", \"total_measure\": 32036, \"share_within_group\": 1.676535773440546}, {\"taster_twitter_handle\": \"@wineschach\", \"designation\": \"Reserve\", \"total_measure\": 16132691, \"share_within_group\": 1.6504283355334146}, {\"taster_twitter_handle\": \"@wineschach\", \"designation\": \"Gran Reserva\", \"total_measure\": 16013037, \"share_within_group\": 1.6381873304797683}, {\"taster_twitter_handle\": \"@bkfiona\", \"designation\": \"Demi Sec\", \"total_measure\": 30822, \"share_within_group\": 1.6130036711507212}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 330.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..730ced8b3cae3f778a3f24c4762e6c3386c55d41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:34:52.666028+00:00", + "ended_at": "2026-05-19T15:35:07.130420+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_199e33f2bf505854", + "problem_id": "v2p_c18_3d6d761ceabecce0", + "dataset_id": "c18", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=taster_twitter_handle, measure_col=row_id.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_199e33f2bf505854.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92d254376b0a8d23d4597854d74c899ec75aab86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:06.795469+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14102.9, "started_at": "2026-05-19T15:34:52.691296+00:00", "ended_at": "2026-05-19T15:35:06.794238+00:00", "prompt_metrics": {"chars": 10332, "bytes_utf8": 10336, "lines": 266, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3289a507c395a95d90d5da334bb0865cc5fc3d7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_199e33f2bf505854/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_1c7b55f83150d1b1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..15db0374052b9c6b5fd093f16da079d6ed094478 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/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": "2026-05-19T16:04:08.688171+00:00", + "ended_at": "2026-05-19T16:04:11.724451+00:00", + "elapsed_ms": 3036.25, + "returncode": 1, + "prompt_metrics": { + "chars": 9884, + "bytes_utf8": 9888, + "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_1c7b55f83150d1b1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..93f06acb25883b74840baa0cb0af00be672e7628 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:12.726121+00:00", + "ended_at": "2026-05-19T16:04:15.798924+00:00", + "elapsed_ms": 3072.77, + "returncode": 1, + "prompt_metrics": { + "chars": 9884, + "bytes_utf8": 9888, + "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_1c7b55f83150d1b1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb07044a0f8f0625d7b9c9c7fc63d58530292009 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/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=points.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "points", + "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": 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_1c7b55f83150d1b1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb07044a0f8f0625d7b9c9c7fc63d58530292009 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/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=points.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "points", + "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": 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_1c7b55f83150d1b1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..40b830b012295074ae0ed8db9f51e6da22298ba7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-f497-7f42-a4e3-7761c96c4dc7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_1c7b55f83150d1b1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6d0a04a5a98a2047fc55318a19c3c9dbe6d81b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-f497-7f42-a4e3-7761c96c4dc7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_1c7b55f83150d1b1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c31a494b3c5d0ff006e140d0804dd6f06779d357 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-0439-7f20-ba05-9eb4eac5fd89"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_1c7b55f83150d1b1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..22c9b68535d3d21346752b9fe0c65f5695ea6f5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-0439-7f20-ba05-9eb4eac5fd89"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_1c7b55f83150d1b1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/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_1c7b55f83150d1b1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1c7b55f83150d1b1/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_1df1fa8001d15852/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d728a33666de67dbd0bb64751ab51d11795cdec5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9883, "bytes_utf8": 9887, "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": 290, "bytes_utf8": 290, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14855, "cached_input_tokens": 13696, "output_tokens": 296, "reasoning_output_tokens": 214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a0ba458f3df276a69550f5dbbe41ac5163fb11bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_1df1fa8001d15852", + "api_calls": 0, + "input_tokens": 14855, + "cached_input_tokens": 13696, + "output_tokens": 296, + "total_tokens": 15151, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7878.7, + "sql_execution_elapsed_ms_total": 64.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/conversation.jsonl", + "note": "Executed through a 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_1df1fa8001d15852/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c46c74857c9424ad25ca9a5e0b4e6273cc13ef0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:11.133208+00:00", + "ended_at": "2026-05-19T16:06:19.011949+00:00", + "elapsed_ms": 7878.7, + "prompt_metrics": { + "chars": 9883, + "bytes_utf8": 9887, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 643, + "bytes_utf8": 643, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 290, + "bytes_utf8": 290, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14855, + "cached_input_tokens": 13696, + "output_tokens": 296, + "reasoning_output_tokens": 214 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..455a337dd6f346d331b3ff22143f179ab069d5e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/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=points.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "points", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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\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_1df1fa8001d15852/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..92561bbbb3cde39397411c6f26e09567de0f4b8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-d2c9-7ee0-adc0-08f07bed335a"} +{"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 \\\"points\\\",\\n COUNT(*) AS support\\nFROM \\\"c18\\\"\\nGROUP BY \\\"points\\\"\\nORDER BY support ASC, \\\"points\\\"\\nLIMIT 15;\",\"notes\":\"Counts rows for each distinct \\\"points\\\" value and returns the 15 lowest-support groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14855,"cached_input_tokens":13696,"output_tokens":296,"reasoning_output_tokens":214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..df89cc1924252f7cfab1d8fe9094d805b238280a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"points\",\n COUNT(*) AS support\nFROM \"c18\"\nGROUP BY \"points\"\nORDER BY support ASC, \"points\"\nLIMIT 15;","notes":"Counts rows for each distinct \"points\" value and returns the 15 lowest-support groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1df1fa8001d15852/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_1f2487f6809ba174/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..02e30df70109f1785b6a09572d9621fc0701aeeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:59.060461+00:00", + "ended_at": "2026-05-19T16:00:03.672826+00:00", + "elapsed_ms": 4612.34, + "returncode": 1, + "prompt_metrics": { + "chars": 10150, + "bytes_utf8": 10154, + "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_1f2487f6809ba174/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5709d4c288c5a606c6ddd79e8ba398b1508c3694 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/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": "2026-05-19T16:00:04.674657+00:00", + "ended_at": "2026-05-19T16:00:07.749815+00:00", + "elapsed_ms": 3075.13, + "returncode": 1, + "prompt_metrics": { + "chars": 10150, + "bytes_utf8": 10154, + "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_1f2487f6809ba174/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32b8eac52a1b8c84c5a8908a17e1f9fcf8606d56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/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 dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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 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_1f2487f6809ba174/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..32b8eac52a1b8c84c5a8908a17e1f9fcf8606d56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/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 dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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 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_1f2487f6809ba174/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..795cd88ec8c9aa30e1ed23943a0557456b7d1585 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-2568-7dd2-85e7-1ed0b434e296"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_1f2487f6809ba174/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..504598afaab2792a8f961bbd866f13b6ee5cde65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-2568-7dd2-85e7-1ed0b434e296"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_1f2487f6809ba174/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed017a78ee18c91a03e49285b4de32369a182d7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-3b68-7e11-aa25-fbd3150f65aa"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_1f2487f6809ba174/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbe2ab76a13da1f42470008fa901cbb7841bcb2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-3b68-7e11-aa25-fbd3150f65aa"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_1f2487f6809ba174/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/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_1f2487f6809ba174/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f2487f6809ba174/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_1f610802f615ad79/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e9d6d37d284c850ff238363e2e073e84c5f6867 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=points, measure_col=row_id. +Result preview: [{"points": "97", "percentile_measure": 125831.6}, {"points": "93", "percentile_measure": 125346.59999999986}, {"points": "84", "percentile_measure": 124567.05}, {"points": "90", "percentile_measure": 124484.55}, {"points": "88", "percentile_measure": 124245.7}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..68036f336b16a8345982525e349c86a6a8a2d9e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/generated_sql.sql @@ -0,0 +1,67 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c18_1f610802f615ad79 +-- problem_id: v2p_c18_7df35846d3ce4db6 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "points", + CAST("row_id" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "points" + ORDER BY CAST("row_id" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "points" + ) AS "cnt" + FROM "c18" + WHERE "points" IS NOT NULL + AND "points" <> '' + AND "row_id" IS NOT NULL + AND "row_id" <> '' +), +"percentile_pos" AS ( + SELECT DISTINCT + "points", + "cnt", + 1.0 + 0.95 * ("cnt" - 1) AS "pos", + CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + 0.95 * ("cnt" - 1)) = CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + THEN CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + ELSE CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"picked" AS ( + SELECT + p."points", + p."pos", + p."lower_rn", + p."upper_rn", + l."measure_value" AS "lower_value", + u."measure_value" AS "upper_value" + FROM "percentile_pos" AS p + JOIN "ranked" AS l + ON l."points" = p."points" + AND l."rn" = p."lower_rn" + JOIN "ranked" AS u + ON u."points" = p."points" + AND u."rn" = p."upper_rn" +) +SELECT + "points", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb10d67e79e68e99cb06373e16130169d539ce4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"points\", \"percentile_measure\"], \"rows\": [{\"points\": \"97\", \"percentile_measure\": 125831.6}, {\"points\": \"93\", \"percentile_measure\": 125346.59999999986}, {\"points\": \"84\", \"percentile_measure\": 124567.05}, {\"points\": \"90\", \"percentile_measure\": 124484.55}, {\"points\": \"88\", \"percentile_measure\": 124245.7}, {\"points\": \"92\", \"percentile_measure\": 124061.4}, {\"points\": \"83\", \"percentile_measure\": 124022.8}, {\"points\": \"94\", \"percentile_measure\": 123765.15}, {\"points\": \"89\", \"percentile_measure\": 123722.75}, {\"points\": \"80\", \"percentile_measure\": 123540.2}, {\"points\": \"86\", \"percentile_measure\": 123329.05}, {\"points\": \"100\", \"percentile_measure\": 122996.0}, {\"points\": \"98\", \"percentile_measure\": 122938.2}, {\"points\": \"91\", \"percentile_measure\": 122866.1}, {\"points\": \"85\", \"percentile_measure\": 122643.55}, {\"points\": \"95\", \"percentile_measure\": 122431.3}, {\"points\": \"99\", \"percentile_measure\": 122305.4}, {\"points\": \"96\", \"percentile_measure\": 121942.9}, {\"points\": \"81\", \"percentile_measure\": 121872.45}, {\"points\": \"87\", \"percentile_measure\": 121371.4}, {\"points\": \"82\", \"percentile_measure\": 120927.25}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 460.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3bd549d57908bbab9de4511e0f94aacc0f605756 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:57:35.951064+00:00", + "ended_at": "2026-05-19T15:58:01.328019+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_1f610802f615ad79", + "problem_id": "v2p_c18_7df35846d3ce4db6", + "dataset_id": "c18", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=points, measure_col=row_id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_1f610802f615ad79.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4b612d5fdfc7a4ca3609e324f857b96636a34524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:00.865115+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 24889.45, "started_at": "2026-05-19T15:57:35.974768+00:00", "ended_at": "2026-05-19T15:58:00.864246+00:00", "prompt_metrics": {"chars": 10070, "bytes_utf8": 10074, "lines": 264, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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_"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..771163a27bff214371e8b636f22e3c2517c5bb32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_1f610802f615ad79/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_2043ae1f5db0e283/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b0b87d94d5080d1fd0a499676d5fb69d48e42a0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T16:05:27.951679+00:00", + "ended_at": "2026-05-19T16:05:35.691551+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_2043ae1f5db0e283", + "problem_id": "v2p_c18_d8a7da6f49aa8228", + "dataset_id": "c18", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=taster_name.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f92f85426a455eaaa6a9cadb699125bb189c771 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2043ae1f5db0e283/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:31.212974+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3238.55, "started_at": "2026-05-19T16:05:27.973656+00:00", "ended_at": "2026-05-19T16:05:31.212241+00:00", "prompt_metrics": {"chars": 9896, "bytes_utf8": 9900, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-2a1f-7e61-9cb7-bd07c8e0968c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:35.691461+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3476.48, "started_at": "2026-05-19T16:05:32.214158+00:00", "ended_at": "2026-05-19T16:05:35.690676+00:00", "prompt_metrics": {"chars": 9896, "bytes_utf8": 9900, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-3ab4-75b2-9718-dbd991e275e9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f039a420ce0816a3b393a12c10cb751203bdddc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10706, "bytes_utf8": 10710, "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": 660, "bytes_utf8": 660, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15053, "cached_input_tokens": 13696, "output_tokens": 691, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..725b2cda542dfd009f832148d0cfbaa9a3c56c6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_2723e213a362c232", + "api_calls": 0, + "input_tokens": 15053, + "cached_input_tokens": 13696, + "output_tokens": 691, + "total_tokens": 15744, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14401.9, + "sql_execution_elapsed_ms_total": 96.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/conversation.jsonl", + "note": "Executed through a 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_2723e213a362c232/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0c9ae04170be68aef12c18001830d19d8c02d13a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/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": "2026-05-19T15:41:31.081524+00:00", + "ended_at": "2026-05-19T15:41:45.483448+00:00", + "elapsed_ms": 14401.9, + "prompt_metrics": { + "chars": 10706, + "bytes_utf8": 10710, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1022, + "bytes_utf8": 1022, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 660, + "bytes_utf8": 660, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15053, + "cached_input_tokens": 13696, + "output_tokens": 691, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0869c16651d13d3ee0fd3f22f00eeb8a616e4f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/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=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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_2723e213a362c232/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3df04b67442824df99f022b13d87603014838927 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-3d65-77a0-90cd-77753684eb25"} +{"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 \\\"price\\\",\\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 \\\"price\\\"\\n)\\nSELECT \\\"price\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC\\nLIMIT 11;\",\"notes\":\"Computes the ratio of US rows to Portugal rows within each price group, following the planned grouped-ratio template and returning the top 11 price groups by ratio.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15053,"cached_input_tokens":13696,"output_tokens":691,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46a1dd0e2c92c9fd551a930b6004407128029ffc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"price\",\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 \"price\"\n)\nSELECT \"price\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC\nLIMIT 11;","notes":"Computes the ratio of US rows to Portugal rows within each price group, following the planned grouped-ratio template and returning the top 11 price groups by ratio."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2723e213a362c232/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_2a1fb37114f09263/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3cbaf8d8cfdc3db852173bb9b3a0777968113d08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10448, "bytes_utf8": 10452, "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": 666, "bytes_utf8": 666, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14981, "cached_input_tokens": 12032, "output_tokens": 949, "reasoning_output_tokens": 781}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81b115a4d5e56799c7d06b87e96b0825a96bccf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_2a1fb37114f09263", + "api_calls": 0, + "input_tokens": 14981, + "cached_input_tokens": 12032, + "output_tokens": 949, + "total_tokens": 15930, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17433.81, + "sql_execution_elapsed_ms_total": 75.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/conversation.jsonl", + "note": "Executed through a 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_2a1fb37114f09263/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2746986e61c5d8290c0e030512dbc2829d53deb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/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": "2026-05-19T15:49:21.090405+00:00", + "ended_at": "2026-05-19T15:49:38.524249+00:00", + "elapsed_ms": 17433.81, + "prompt_metrics": { + "chars": 10448, + "bytes_utf8": 10452, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1033, + "bytes_utf8": 1033, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 666, + "bytes_utf8": 666, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14981, + "cached_input_tokens": 12032, + "output_tokens": 949, + "reasoning_output_tokens": 781 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_2a1fb37114f09263/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92b2b489cbaebdcd4004123aa3cb6398f0d26100 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/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 count_distribution. Focus on group_col=points, measure_col=row_id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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": "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_2a1fb37114f09263/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6d49aae656e44240e62d6e985996217ed2647a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-694a-75a2-852e-d6cd0c8308df"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"points\\\", COUNT(\\\"row_id\\\") AS group_value\\n FROM \\\"c18\\\"\\n GROUP BY \\\"points\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"points\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested threshold template with \\\"points\\\" as the grouping column. Interpreted measure_col=row_id as COUNT(\\\"row_id\\\") instead of SUM because row_id is an identifier-like TEXT field and the task is explicitly about count_distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14981,"cached_input_tokens":12032,"output_tokens":949,"reasoning_output_tokens":781}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2421be9288f625d13034e96bf654dd19b1c1119 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"points\", COUNT(\"row_id\") AS group_value\n FROM \"c18\"\n GROUP BY \"points\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"points\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Used the requested threshold template with \"points\" as the grouping column. Interpreted measure_col=row_id as COUNT(\"row_id\") instead of SUM because row_id is an identifier-like TEXT field and the task is explicitly about count_distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2a1fb37114f09263/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_2b010d565056dfd7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..27b4e8ff38a9609ce47e5b8fddc220e60223ab3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10195, "bytes_utf8": 10199, "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": 458, "bytes_utf8": 458, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 13696, "output_tokens": 440, "reasoning_output_tokens": 320}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cdbf9841e0fe17b2168d8ec14e2c071043cdb7e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_2b010d565056dfd7", + "api_calls": 0, + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 440, + "total_tokens": 15377, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10417.75, + "sql_execution_elapsed_ms_total": 71.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/conversation.jsonl", + "note": "Executed through a 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_2b010d565056dfd7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..81cd2913e2c9b0be99ebef5eb4cd86f19a819a9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:34.991291+00:00", + "ended_at": "2026-05-19T15:44:45.409069+00:00", + "elapsed_ms": 10417.75, + "prompt_metrics": { + "chars": 10195, + "bytes_utf8": 10199, + "lines": 268, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 825, + "bytes_utf8": 825, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 458, + "bytes_utf8": 458, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14937, + "cached_input_tokens": 13696, + "output_tokens": 440, + "reasoning_output_tokens": 320 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_2b010d565056dfd7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ac3395f12c43a241cb58f16292d8ac8137e16dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/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=points, group_col_2=price.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "points", + "group_col_2": "price", + "predicate_col": "points", + "predicate_op": ">=", + "predicate_value": 90.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, {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_2b010d565056dfd7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..451713e8113c011abab27141236f1f29240f2f4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-0bbd-7153-8b88-fe0dc8f6aa60"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"points\\\", \\\"price\\\", COUNT(*) AS row_count\\nFROM \\\"c18\\\"\\nWHERE CAST(NULLIF(\\\"points\\\", '') AS REAL) >= 90.0\\nGROUP BY \\\"points\\\", \\\"price\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with \\\"points\\\" and \\\"price\\\". Applied CAST(NULLIF(\\\"points\\\", '') AS REAL) so the numeric threshold comparison is SQLite-safe despite the TEXT schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14937,"cached_input_tokens":13696,"output_tokens":440,"reasoning_output_tokens":320}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc4761bc505485b29c00a27b706b8118d5518f9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"points\", \"price\", COUNT(*) AS row_count\nFROM \"c18\"\nWHERE CAST(NULLIF(\"points\", '') AS REAL) >= 90.0\nGROUP BY \"points\", \"price\"\nORDER BY row_count DESC;","notes":"Used the planned filtered two-dimensional group count template with \"points\" and \"price\". Applied CAST(NULLIF(\"points\", '') AS REAL) so the numeric threshold comparison is SQLite-safe despite the TEXT schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2b010d565056dfd7/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_2d20298d64334735/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..511fd001ca0a9d3d0dd96030a6558af990fc74c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10296, "bytes_utf8": 10300, "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": 624, "bytes_utf8": 624, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14965, "cached_input_tokens": 13696, "output_tokens": 692, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3cf9810f14d9a6212e201f40fa40f212774453e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_2d20298d64334735", + "api_calls": 0, + "input_tokens": 14965, + "cached_input_tokens": 13696, + "output_tokens": 692, + "total_tokens": 15657, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14910.95, + "sql_execution_elapsed_ms_total": 467.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/conversation.jsonl", + "note": "Executed through a 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_2d20298d64334735/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4fc657a46eb362ef039d8700946c1ec7c0ea1d52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/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": "2026-05-19T15:41:15.671240+00:00", + "ended_at": "2026-05-19T15:41:30.582226+00:00", + "elapsed_ms": 14910.95, + "prompt_metrics": { + "chars": 10296, + "bytes_utf8": 10300, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1008, + "bytes_utf8": 1008, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 624, + "bytes_utf8": 624, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14965, + "cached_input_tokens": 13696, + "output_tokens": 692, + "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_2d20298d64334735/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12f1e02f50890330ea87eeff33be674e61d986ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/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=region_2, measure_col=price.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "region_2", + "measure_col": "price", + "item_col": "row_id", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, {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_2d20298d64334735/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7919fab072d95dd8f54cb2f5be2151a0bfa6323 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-0128-7cb2-9976-5b0d6ae7044e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"region_2\\\", \\\"row_id\\\",\\n SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL))) OVER (PARTITION BY \\\"region_2\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\", \\\"row_id\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Instantiated the planned template with group_col=\\\"region_2\\\", item_col=\\\"row_id\\\", and measure_col=\\\"price\\\". Casted \\\"price\\\" from TEXT to REAL and treated empty strings as NULL for SQLite-compatible aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14965,"cached_input_tokens":13696,"output_tokens":692,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b702efc8d039bc8c3b05cddc323ceee17616158c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"region_2\", \"row_id\",\n SUM(CAST(NULLIF(\"price\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"price\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"price\", '') AS REAL))) OVER (PARTITION BY \"region_2\") AS share_within_group\nFROM \"c18\"\nGROUP BY \"region_2\", \"row_id\"\nORDER BY share_within_group DESC;","notes":"Instantiated the planned template with group_col=\"region_2\", item_col=\"row_id\", and measure_col=\"price\". Casted \"price\" from TEXT to REAL and treated empty strings as NULL for SQLite-compatible aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2d20298d64334735/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_2fd1649e44595caf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d35d2252983d8ba7100d7825cedcba623882f473 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9832, "bytes_utf8": 9836, "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": 324, "bytes_utf8": 324, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14825, "cached_input_tokens": 12032, "output_tokens": 376, "reasoning_output_tokens": 290}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..57ea9a414f59f59c766a4c7b4b5adad1c3f39aaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_2fd1649e44595caf", + "api_calls": 0, + "input_tokens": 14825, + "cached_input_tokens": 12032, + "output_tokens": 376, + "total_tokens": 15201, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10000.75, + "sql_execution_elapsed_ms_total": 85.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/conversation.jsonl", + "note": "Executed through a 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_2fd1649e44595caf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b731eea37c3bf43c4c7943397efc80672314bd4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/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": "2026-05-19T15:33:11.660977+00:00", + "ended_at": "2026-05-19T15:33:21.661797+00:00", + "elapsed_ms": 10000.75, + "prompt_metrics": { + "chars": 9832, + "bytes_utf8": 9836, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 678, + "bytes_utf8": 678, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 324, + "bytes_utf8": 324, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14825, + "cached_input_tokens": 12032, + "output_tokens": 376, + "reasoning_output_tokens": 290 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_2fd1649e44595caf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..308ee50dc597534ca617dac66daa03b79b00cd14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/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_twitter_handle.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "taster_twitter_handle", + "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": 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_2fd1649e44595caf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..32d6d79a643703edb7c7e5d759206248c4ff1b76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-9e5b-7831-b1dd-d5152b182460"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"taster_twitter_handle\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_twitter_handle\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped-count template with group_col bound to \\\"taster_twitter_handle\\\" to inspect subgroup size distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14825,"cached_input_tokens":12032,"output_tokens":376,"reasoning_output_tokens":290}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba1c24424fefe36d562cf8bd629ea21e9260bbd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"taster_twitter_handle\", COUNT(*) AS \"row_count\"\nFROM \"c18\"\nGROUP BY \"taster_twitter_handle\"\nORDER BY \"row_count\" DESC;","notes":"Uses the grouped-count template with group_col bound to \"taster_twitter_handle\" to inspect subgroup size distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2fd1649e44595caf/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_2ff4b4112dbaa79f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..15b2d6c97fd2b0477a92295a4956b8f9cd6448f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10162, "bytes_utf8": 10166, "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": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14907, "cached_input_tokens": 12032, "output_tokens": 352, "reasoning_output_tokens": 257}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bad34f824e6b1ca946e0bbfd490f82d28ea52ee2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_2ff4b4112dbaa79f", + "api_calls": 0, + "input_tokens": 14907, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 15259, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9875.9, + "sql_execution_elapsed_ms_total": 88.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/conversation.jsonl", + "note": "Executed through a 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_2ff4b4112dbaa79f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..42b9e41d386cd0b804e7d3d35044cb28a804268b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:46.282328+00:00", + "ended_at": "2026-05-19T16:00:56.158260+00:00", + "elapsed_ms": 9875.9, + "prompt_metrics": { + "chars": 10162, + "bytes_utf8": 10166, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 696, + "bytes_utf8": 696, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 349, + "bytes_utf8": 349, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14907, + "cached_input_tokens": 12032, + "output_tokens": 352, + "reasoning_output_tokens": 257 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_2ff4b4112dbaa79f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ef042326a35a7a2212c05130e292e459701a3c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/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 dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=taster_name, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "taster_name", + "condition_col": "country", + "condition_value": "Portugal", + "positive_value": "US", + "negative_value": "Portugal", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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},\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_2ff4b4112dbaa79f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6c0afe38a0831e35c14127b644d325ded1f9248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-dde2-7a73-83f5-3e35e8af973d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"taster_name\\\",\\n AVG(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_name\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the Portugal review rate for each taster_name using the planned Grouped Condition Rate template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14907,"cached_input_tokens":12032,"output_tokens":352,"reasoning_output_tokens":257}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86c4f22eb2f6759078759be1f50abc938cea9dfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"taster_name\",\n AVG(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c18\"\nGROUP BY \"taster_name\"\nORDER BY condition_rate DESC;","notes":"Computes the Portugal review rate for each taster_name using the planned Grouped Condition Rate template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_2ff4b4112dbaa79f/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_34c0efc254435e99/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..079897ca9e1c7a3583d3202b0257c366a0a9da49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10072, "bytes_utf8": 10076, "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": 1925, "bytes_utf8": 1925, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14887, "cached_input_tokens": 13696, "output_tokens": 1986, "reasoning_output_tokens": 1322}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ef131d907eef545a9a0016f1a36c5b63f268ecaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_34c0efc254435e99", + "api_calls": 0, + "input_tokens": 14887, + "cached_input_tokens": 13696, + "output_tokens": 1986, + "total_tokens": 16873, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 27937.1, + "sql_execution_elapsed_ms_total": 237.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/conversation.jsonl", + "note": "Executed through a 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_34c0efc254435e99/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d048613ac118bc9a89cf38e1ae9d304f0bf1f68b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:25.329551+00:00", + "ended_at": "2026-05-19T15:54:53.266690+00:00", + "elapsed_ms": 27937.1, + "prompt_metrics": { + "chars": 10072, + "bytes_utf8": 10076, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2549, + "bytes_utf8": 2549, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1925, + "bytes_utf8": 1925, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14887, + "cached_input_tokens": 13696, + "output_tokens": 1986, + "reasoning_output_tokens": 1322 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_34c0efc254435e99/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0513a83d5ee64958f97859ee6593bc92a0014322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/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=region_2, measure_col=row_id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_34c0efc254435e99/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..44b45ebb96dcb10dbba4ca911a81967f59ff70bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-0dd1-7e21-a58f-6c0ce4633910"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"region_2\\\",\\n CAST(\\\"row_id\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"region_2\\\" IS NOT NULL\\n AND \\\"region_2\\\" <> ''\\n AND \\\"row_id\\\" IS NOT NULL\\n AND \\\"row_id\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"region_2\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"region_2\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"region_2\\\") AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"region_2\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT) + CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n p.\\\"region_2\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure\\\" END)\\n ELSE MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure\\\" END)\\n + (p.\\\"pos\\\" - p.\\\"lower_rn\\\")\\n * (\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure\\\" END)\\n - MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"params\\\" AS p\\nJOIN \\\"ranked\\\" AS r\\n ON r.\\\"region_2\\\" = p.\\\"region_2\\\"\\nGROUP BY\\n p.\\\"region_2\\\",\\n p.\\\"cnt\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.9 percentile per \\\"region_2\\\" with window functions and linear interpolation. \\\"row_id\\\" is cast to REAL because it is stored as TEXT in the snapshot, and groups smaller than 5 rows are excluded using the provided minimum support.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14887,"cached_input_tokens":13696,"output_tokens":1986,"reasoning_output_tokens":1322}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb5b835c441496ff180798ff95fb01e876ec688b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"region_2\",\n CAST(\"row_id\" AS REAL) AS \"measure\"\n FROM \"c18\"\n WHERE \"region_2\" IS NOT NULL\n AND \"region_2\" <> ''\n AND \"row_id\" IS NOT NULL\n AND \"row_id\" <> ''\n),\n\"ranked\" AS (\n SELECT\n \"region_2\",\n \"measure\",\n ROW_NUMBER() OVER (PARTITION BY \"region_2\" ORDER BY \"measure\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"region_2\") AS \"cnt\"\n FROM \"base\"\n),\n\"params\" AS (\n SELECT DISTINCT\n \"region_2\",\n \"cnt\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INT) AS \"lower_rn\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INT) + CASE\n WHEN (1.0 + 0.9 * (\"cnt\" - 1)) > CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INT) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n p.\"region_2\",\n CASE\n WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure\" END)\n ELSE MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure\" END)\n + (p.\"pos\" - p.\"lower_rn\")\n * (\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure\" END)\n - MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure\" END)\n )\n END AS \"percentile_measure\"\nFROM \"params\" AS p\nJOIN \"ranked\" AS r\n ON r.\"region_2\" = p.\"region_2\"\nGROUP BY\n p.\"region_2\",\n p.\"cnt\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.9 percentile per \"region_2\" with window functions and linear interpolation. \"row_id\" is cast to REAL because it is stored as TEXT in the snapshot, and groups smaller than 5 rows are excluded using the provided minimum support."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_34c0efc254435e99/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_397220a518467496/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d129e0fce60a4342b2ea025a4e55c6f4834f2821 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/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": "2026-05-19T16:06:55.534617+00:00", + "ended_at": "2026-05-19T16:06:58.338654+00:00", + "elapsed_ms": 2804.0, + "returncode": 1, + "prompt_metrics": { + "chars": 9985, + "bytes_utf8": 9989, + "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_397220a518467496/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b22ce37abc6e5420f699bb972c1f1acc0c911524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/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": "2026-05-19T16:06:59.341072+00:00", + "ended_at": "2026-05-19T16:07:02.350737+00:00", + "elapsed_ms": 3009.62, + "returncode": 1, + "prompt_metrics": { + "chars": 9985, + "bytes_utf8": 9989, + "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_397220a518467496/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b50843a7488cab465093fdc226d5d7e2b0eb2e83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=taster_name, measure_col=points.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_name", + "measure_col": "points", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_397220a518467496/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b50843a7488cab465093fdc226d5d7e2b0eb2e83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=taster_name, measure_col=points.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_name", + "measure_col": "points", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_397220a518467496/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c07c883fcb4c7a7a0a0c43234525fa8d4839ac6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8029-7253-8b64-e4be895e3d3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_397220a518467496/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24149e05e17b8dce3f9ee28046a3078b62a51388 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8029-7253-8b64-e4be895e3d3a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_397220a518467496/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..09b0e72bdcc6094471e5e85d8d91b9bd9201cfcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8f08-75a2-b9c8-768922fe1dd7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_397220a518467496/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..96ebdaa6d520a38540faf3b5059d87ea4327fc96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-8f08-75a2-b9c8-768922fe1dd7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_397220a518467496/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/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_397220a518467496/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_397220a518467496/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_39d2d76d5d851157/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cbe11485afb3d04c1e2a7c4447335951b822d99d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9972, "bytes_utf8": 9976, "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": 527, "bytes_utf8": 527, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14855, "cached_input_tokens": 12032, "output_tokens": 451, "reasoning_output_tokens": 308}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a10e0e3db557fc0acde698f8f8b360a8067959ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_39d2d76d5d851157", + "api_calls": 0, + "input_tokens": 14855, + "cached_input_tokens": 12032, + "output_tokens": 451, + "total_tokens": 15306, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10410.38, + "sql_execution_elapsed_ms_total": 246.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/conversation.jsonl", + "note": "Executed through a 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_39d2d76d5d851157/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fad3f75593a6f9128230ef1645778167c8d093b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:36.524343+00:00", + "ended_at": "2026-05-19T16:07:46.934751+00:00", + "elapsed_ms": 10410.38, + "prompt_metrics": { + "chars": 9972, + "bytes_utf8": 9976, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 906, + "bytes_utf8": 906, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 527, + "bytes_utf8": 527, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14855, + "cached_input_tokens": 12032, + "output_tokens": 451, + "reasoning_output_tokens": 308 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_39d2d76d5d851157/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0da0b9899c4dd8f66a31cef371e7fc6dffd61e0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/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=price, measure_col=points.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "price", + "measure_col": "points", + "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 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_39d2d76d5d851157/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbc17b475be3d77d0ce87b602f4423d6bd2d443f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-2054-7bd2-b18d-b6fe34c233cf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"price\\\",\\n AVG(CAST(\\\"points\\\" AS REAL)) OVER (PARTITION BY \\\"price\\\") AS avg_measure\\nFROM \\\"c18\\\"\\nWHERE \\\"price\\\" IS NOT NULL\\n AND \\\"price\\\" <> ''\\n AND \\\"points\\\" IS NOT NULL\\n AND \\\"points\\\" <> ''\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the required window-partition-average template with group_col=\\\"price\\\" and measure_col=\\\"points\\\". Added non-empty filters and cast \\\"points\\\" to REAL because both fields are stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14855,"cached_input_tokens":12032,"output_tokens":451,"reasoning_output_tokens":308}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4968cbe80e955a340f3423ff21b276b36e51aff5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"price\",\n AVG(CAST(\"points\" AS REAL)) OVER (PARTITION BY \"price\") AS avg_measure\nFROM \"c18\"\nWHERE \"price\" IS NOT NULL\n AND \"price\" <> ''\n AND \"points\" IS NOT NULL\n AND \"points\" <> ''\nORDER BY avg_measure DESC;","notes":"Used the required window-partition-average template with group_col=\"price\" and measure_col=\"points\". Added non-empty filters and cast \"points\" to REAL because both fields are stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_39d2d76d5d851157/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_3a6b2828809da6af/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6502629250acd5291ff1eb9ec8dd80f003cee458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/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": "2026-05-19T16:06:33.653652+00:00", + "ended_at": "2026-05-19T16:06:36.964135+00:00", + "elapsed_ms": 3310.45, + "returncode": 1, + "prompt_metrics": { + "chars": 9981, + "bytes_utf8": 9985, + "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_3a6b2828809da6af/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4972c9afcfbab89816593c9695f53474cf94f126 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/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": "2026-05-19T16:06:37.966264+00:00", + "ended_at": "2026-05-19T16:06:41.022201+00:00", + "elapsed_ms": 3055.89, + "returncode": 1, + "prompt_metrics": { + "chars": 9981, + "bytes_utf8": 9985, + "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_3a6b2828809da6af/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6161fdfb7a1235284aca733745d0626e2aef1dc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/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=region_2, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_3a6b2828809da6af/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6161fdfb7a1235284aca733745d0626e2aef1dc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/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=region_2, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_3a6b2828809da6af/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d2665aaa6d63afeaf453e57f8a5b32ca1785435 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-2ad1-7ea1-8af0-08ec5d35ab62"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_3a6b2828809da6af/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..db2b55f34621dc37a2abd978cd7de9dc43126e4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-2ad1-7ea1-8af0-08ec5d35ab62"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_3a6b2828809da6af/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..84a5b9b0d8405a792588aca2735231f1396569ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-3b81-7d12-93ad-546c72247ba2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_3a6b2828809da6af/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef862fd9c74c07c449f584644cf0cf7234f6bf2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3a6b2828809da6af/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-3b81-7d12-93ad-546c72247ba2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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100644 index 0000000000000000000000000000000000000000..591b668bffe3921305ecb7dd1b3ca40e1ead285b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/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": 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": 624, "bytes_utf8": 624, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14898, "cached_input_tokens": 13696, "output_tokens": 692, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ef82567f38ffdfedc0f87775077ce5707d376f25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_3aba8fbcd891761d", + "api_calls": 0, + "input_tokens": 14898, + "cached_input_tokens": 13696, + "output_tokens": 692, + "total_tokens": 15590, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18887.77, + "sql_execution_elapsed_ms_total": 219.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/conversation.jsonl", + "note": "Executed through a 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_3aba8fbcd891761d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d340464ad0d3c25a1ac729b16a455ca616457f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:40.537360+00:00", + "ended_at": "2026-05-19T15:46:59.425174+00:00", + "elapsed_ms": 18887.77, + "prompt_metrics": { + "chars": 10063, + "bytes_utf8": 10067, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1354, + "bytes_utf8": 1354, + "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": 624, + "bytes_utf8": 624, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14898, + "cached_input_tokens": 13696, + "output_tokens": 692, + "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_3aba8fbcd891761d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..96aeff4d8f00e54178a890cebe0cb099082e2f24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/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=points.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "points", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 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_3aba8fbcd891761d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..542d64bf505b83509d6462b19e5662221d7cf5d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ea-f69f-75d1-ab29-9ce212009631"} +{"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 1998159, Requested 15533. Please try again in 410ms. 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 CAST(\\\"points\\\" AS REAL) AS \\\"points\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"points\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"points\\\" IS NOT NULL AND \\\"points\\\" <> \\\"\\\"\\n)\\nSELECT \\\"points\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"points\\\" DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to \\\"points\\\" and num_tiles=10. Cast \\\"points\\\" to REAL because the schema stores it as TEXT, and excluded blank values so the top decile reflects numeric points only.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14898,"cached_input_tokens":13696,"output_tokens":692,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9845a3794881d32da4cc2892f539fac1b11bb8bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"points\" AS REAL) AS \"points\",\n NTILE(10) OVER (ORDER BY CAST(\"points\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"c18\"\n WHERE \"points\" IS NOT NULL AND \"points\" <> \"\"\n)\nSELECT \"points\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"points\" DESC;","notes":"Used the requested Quantile Tail Slice template with measure_col bound to \"points\" and num_tiles=10. Cast \"points\" to REAL because the schema stores it as TEXT, and excluded blank values so the top decile reflects numeric points only."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3aba8fbcd891761d/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_3b98eefd1e5bb298/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29aa88ef5a62bbf97ef120d79f61b19c08cef63f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9913, "bytes_utf8": 9917, "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": 9913, "bytes_utf8": 9917, "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": 353, "bytes_utf8": 353, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14861, "cached_input_tokens": 12032, "output_tokens": 322, "reasoning_output_tokens": 219}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..65f03c0c64e5aaf699b8e09684ebfc2c67cbba6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_3b98eefd1e5bb298", + "api_calls": 0, + "input_tokens": 14861, + "cached_input_tokens": 12032, + "output_tokens": 322, + "total_tokens": 15183, + "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": 11830.96, + "sql_execution_elapsed_ms_total": 78.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/conversation.jsonl", + "note": "Executed through a 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_3b98eefd1e5bb298/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_attempt_1.metadata.json new file mode 100644 index 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"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_3b98eefd1e5bb298/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d6a37b893d7d59f91a267375df59cad269316970 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:55.441976+00:00", + "ended_at": "2026-05-19T16:06:03.690417+00:00", + "elapsed_ms": 8248.37, + "prompt_metrics": { + "chars": 9913, + "bytes_utf8": 9917, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 706, + "bytes_utf8": 706, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 353, + "bytes_utf8": 353, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14861, + "cached_input_tokens": 12032, + "output_tokens": 322, + "reasoning_output_tokens": 219 + } + }, + "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_3b98eefd1e5bb298/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dee79a14ea8793c60384a80e5ed4a7f2f68bc99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/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 count_distribution. Focus on group_col=taster_twitter_handle.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "taster_twitter_handle", + "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": 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_3b98eefd1e5bb298/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dee79a14ea8793c60384a80e5ed4a7f2f68bc99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/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 count_distribution. Focus on group_col=taster_twitter_handle.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "taster_twitter_handle", + "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": 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_3b98eefd1e5bb298/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3ef736fe1b27b767898849ceb0cce5d96e68205 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-839b-7440-aa74-80b91feb2dc2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_3b98eefd1e5bb298/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e640a1da85097d91cb5b44c1e7988c508f2dcdd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-839b-7440-aa74-80b91feb2dc2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_3b98eefd1e5bb298/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1903cc49ad8cf1c0668565aae650ab222f309905 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-958f-78f0-99ac-045220ac4cb5"} +{"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 \\\"taster_twitter_handle\\\",\\n COUNT(*) AS support\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_twitter_handle\\\"\\nORDER BY support ASC, \\\"taster_twitter_handle\\\"\\nLIMIT 19;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"taster_twitter_handle\\\" and top_k=19.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14861,"cached_input_tokens":12032,"output_tokens":322,"reasoning_output_tokens":219}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb7c77d934dc33fdd0af2bc89b572e4bf2d02aa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2.\nSELECT\n \"taster_twitter_handle\",\n COUNT(*) AS support\nFROM \"c18\"\nGROUP BY \"taster_twitter_handle\"\nORDER BY support ASC, \"taster_twitter_handle\"\nLIMIT 19;","notes":"Uses the Low-Support Group Count template with group_col bound to \"taster_twitter_handle\" and top_k=19."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/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_3b98eefd1e5bb298/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3b98eefd1e5bb298/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_3bbcbffb2768fe5d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..697dedbb378802a1fe05f5d40dc7f5c170df698d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10181, "bytes_utf8": 10185, "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": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14913, "cached_input_tokens": 12288, "output_tokens": 451, "reasoning_output_tokens": 346}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..13c121a07df10dacc252142e5fdb153480935683 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_3bbcbffb2768fe5d", + "api_calls": 0, + "input_tokens": 14913, + "cached_input_tokens": 12288, + "output_tokens": 451, + "total_tokens": 15364, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11783.15, + "sql_execution_elapsed_ms_total": 100.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/conversation.jsonl", + "note": "Executed through a 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_3bbcbffb2768fe5d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bc9ced88b7f9d0a06f3e9d8eefe3ff9aa8139a54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/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": "2026-05-19T16:01:15.453003+00:00", + "ended_at": "2026-05-19T16:01:27.236189+00:00", + "elapsed_ms": 11783.15, + "prompt_metrics": { + "chars": 10181, + "bytes_utf8": 10185, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 731, + "bytes_utf8": 731, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 376, + "bytes_utf8": 376, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14913, + "cached_input_tokens": 12288, + "output_tokens": 451, + "reasoning_output_tokens": 346 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_3bbcbffb2768fe5d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd9bbcbbfa74c6825c0ca804c29a19572665e32a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/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 within_group_proportion. Focus on group_col=taster_twitter_handle, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "taster_twitter_handle", + "condition_col": "country", + "condition_value": "Portugal", + "positive_value": "US", + "negative_value": "Portugal", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_3bbcbffb2768fe5d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4692ec40771377dab207dcef295fcf3744e0e9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"taster_twitter_handle\",\n AVG(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c18\"\nGROUP BY \"taster_twitter_handle\"\nORDER BY condition_rate DESC;","notes":"Computes the within-group proportion of rows where \"country\" is 'Portugal' for each \"taster_twitter_handle\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3bbcbffb2768fe5d/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_3ceeba8e3df6283c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bac8a83bc00dc87c70a302b8d2337b2602e6d0fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9904, "bytes_utf8": 9908, "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": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14848, "cached_input_tokens": 12032, "output_tokens": 567, "reasoning_output_tokens": 458}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..699a3cf72f93ff55c9468ad4230197f08fc1f1f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_3ceeba8e3df6283c", + "api_calls": 0, + "input_tokens": 14848, + "cached_input_tokens": 12032, + "output_tokens": 567, + "total_tokens": 15415, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16280.32, + "sql_execution_elapsed_ms_total": 89.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/conversation.jsonl", + "note": "Executed through a 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_3ceeba8e3df6283c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..02fa2ff6f77bb1629e1bee2d9c8451f22032ad61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:10.053143+00:00", + "ended_at": "2026-05-19T15:30:26.333504+00:00", + "elapsed_ms": 16280.32, + "prompt_metrics": { + "chars": 9904, + "bytes_utf8": 9908, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 745, + "bytes_utf8": 745, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 379, + "bytes_utf8": 379, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14848, + "cached_input_tokens": 12032, + "output_tokens": 567, + "reasoning_output_tokens": 458 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_3ceeba8e3df6283c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1388bb0cb88e23bc35d165e5a69f2bcc7ade231a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=taster_name, measure_col=row_id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "taster_name", + "measure_col": "row_id", + "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": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..61e4710aa1b759f247b3dc24efadcf2861a5998a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-d92a-7cb2-b4c8-1c6b6c3b933d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"taster_name\\\", SUM(CAST(\\\"row_id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_name\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"taster_name\\\" and measure_col=\\\"row_id\\\". Applied CAST to \\\"row_id\\\" because the schema stores it as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14848,"cached_input_tokens":12032,"output_tokens":567,"reasoning_output_tokens":458}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5e214e2d513073f82d9da578bcefcc57aee589c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"taster_name\", SUM(CAST(\"row_id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c18\"\nGROUP BY \"taster_name\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required grouped-sum template with group_col=\"taster_name\" and measure_col=\"row_id\". Applied CAST to \"row_id\" because the schema stores it as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3ceeba8e3df6283c/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_3e91873b089aebd4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..875ae579a07317c2295dd101aad2b4213a8ff209 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10446, "bytes_utf8": 10450, "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": 913, "bytes_utf8": 913, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14983, "cached_input_tokens": 13696, "output_tokens": 1044, "reasoning_output_tokens": 776}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b76ea32ed607456a744ef1e640274e9b506b2d69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_3e91873b089aebd4", + "api_calls": 0, + "input_tokens": 14983, + "cached_input_tokens": 13696, + "output_tokens": 1044, + "total_tokens": 16027, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19339.79, + "sql_execution_elapsed_ms_total": 94.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/conversation.jsonl", + "note": "Executed through a 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_3e91873b089aebd4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b4161063e1a3c48d093d34350d7493625fd47dd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/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": "2026-05-19T15:49:01.632462+00:00", + "ended_at": "2026-05-19T15:49:20.972277+00:00", + "elapsed_ms": 19339.79, + "prompt_metrics": { + "chars": 10446, + "bytes_utf8": 10450, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1362, + "bytes_utf8": 1362, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 913, + "bytes_utf8": 913, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14983, + "cached_input_tokens": 13696, + "output_tokens": 1044, + "reasoning_output_tokens": 776 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_3e91873b089aebd4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..78c56bd29977740f1b3d8d6295cad2631acb0fd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/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=points, measure_col=row_id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, 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_3e91873b089aebd4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8eb421628b8c50d6df0df9d6637f6251ed526977 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-1d6d-7750-bef0-f82d2eba4d36"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n \\\"points\\\",\\n CAST(NULLIF(\\\"row_id\\\", '') AS REAL) AS \\\"row_id_num\\\"\\n FROM \\\"c18\\\"\\n WHERE NULLIF(\\\"points\\\", '') IS NOT NULL\\n AND NULLIF(\\\"row_id\\\", '') IS NOT NULL\\n),\\n\\\"grouped\\\" AS (\\n SELECT\\n \\\"points\\\",\\n SUM(\\\"row_id_num\\\") AS \\\"group_value\\\"\\n FROM \\\"filtered\\\"\\n GROUP BY \\\"points\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"points\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the requested relative-to-total threshold template with group_col=points and measure_col=row_id. Because row_id is stored as TEXT in SQLite, the query filters empty values and casts row_id to REAL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14983,"cached_input_tokens":13696,"output_tokens":1044,"reasoning_output_tokens":776}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d21aa30a76bb38d857e58fdb2996bc19f23b979a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"filtered\" AS (\n SELECT\n \"points\",\n CAST(NULLIF(\"row_id\", '') AS REAL) AS \"row_id_num\"\n FROM \"c18\"\n WHERE NULLIF(\"points\", '') IS NOT NULL\n AND NULLIF(\"row_id\", '') IS NOT NULL\n),\n\"grouped\" AS (\n SELECT\n \"points\",\n SUM(\"row_id_num\") AS \"group_value\"\n FROM \"filtered\"\n GROUP BY \"points\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"points\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Used the requested relative-to-total threshold template with group_col=points and measure_col=row_id. Because row_id is stored as TEXT in SQLite, the query filters empty values and casts row_id to REAL before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3e91873b089aebd4/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_3f06e9565005dd35/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2fd0397a30c5dbe5e2e4416acaacdfab04a7324e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10298, "bytes_utf8": 10302, "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": 576, "bytes_utf8": 576, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14963, "cached_input_tokens": 12032, "output_tokens": 1313, "reasoning_output_tokens": 1138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3cad81c0514fb4b96879f7048a5e3e7c23739ca0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_3f06e9565005dd35", + "api_calls": 0, + "input_tokens": 14963, + "cached_input_tokens": 12032, + "output_tokens": 1313, + "total_tokens": 16276, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23244.98, + "sql_execution_elapsed_ms_total": 147.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/conversation.jsonl", + "note": "Executed through a 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_3f06e9565005dd35/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a1a57b27990609a2672b9e7d0bd3c68f360d106 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:43.236046+00:00", + "ended_at": "2026-05-19T15:40:06.481061+00:00", + "elapsed_ms": 23244.98, + "prompt_metrics": { + "chars": 10298, + "bytes_utf8": 10302, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 964, + "bytes_utf8": 964, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 576, + "bytes_utf8": 576, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14963, + "cached_input_tokens": 12032, + "output_tokens": 1313, + "reasoning_output_tokens": 1138 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_3f06e9565005dd35/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..085b4c9384128eef5e4e6638bdb77e27630a36fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/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=points, measure_col=row_id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "item_col": "variety", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_3f06e9565005dd35/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7091ccdaea27ad2473a0b85dcb04ee440dacafe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-981b-7e73-892f-70e7612e2927"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"points\\\",\\n \\\"variety\\\",\\n SUM(CAST(\\\"row_id\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"row_id\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"row_id\\\" AS REAL))) OVER (PARTITION BY \\\"points\\\"), 0) AS share_within_group\\nFROM \\\"c18\\\"\\nGROUP BY \\\"points\\\", \\\"variety\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required template with group_col=\\\"points\\\", item_col=\\\"variety\\\", and measure_col=\\\"row_id\\\". \\\"row_id\\\" is cast from TEXT to REAL so the SUM-based within-group share is valid in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14963,"cached_input_tokens":12032,"output_tokens":1313,"reasoning_output_tokens":1138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c798c621f204ba481ad52495f302f85e8eec1fad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"points\",\n \"variety\",\n SUM(CAST(\"row_id\" AS REAL)) AS total_measure,\n SUM(CAST(\"row_id\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"row_id\" AS REAL))) OVER (PARTITION BY \"points\"), 0) AS share_within_group\nFROM \"c18\"\nGROUP BY \"points\", \"variety\"\nORDER BY share_within_group DESC;","notes":"Uses the required template with group_col=\"points\", item_col=\"variety\", and measure_col=\"row_id\". \"row_id\" is cast from TEXT to REAL so the SUM-based within-group share is valid in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_3f06e9565005dd35/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_42421ea87b4c15c5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..33712b8949674db17776ff50f1dd0c006769c0c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/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": "2026-05-19T16:06:03.796894+00:00", + "ended_at": "2026-05-19T16:06:06.861256+00:00", + "elapsed_ms": 3064.33, + "returncode": 1, + "prompt_metrics": { + "chars": 9881, + "bytes_utf8": 9885, + "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_42421ea87b4c15c5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b6415f547e40b2a18d37b657ffb8e3d6614860da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/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": "2026-05-19T16:06:07.863523+00:00", + "ended_at": "2026-05-19T16:06:11.107695+00:00", + "elapsed_ms": 3244.13, + "returncode": 1, + "prompt_metrics": { + "chars": 9881, + "bytes_utf8": 9885, + "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_42421ea87b4c15c5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ebbe227794b226a0292c3f8ae1e9a29666f0722 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/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=points.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "points", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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\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_42421ea87b4c15c5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ebbe227794b226a0292c3f8ae1e9a29666f0722 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/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=points.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "points", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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\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_42421ea87b4c15c5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c11e7c7981d9570ca5e81c182c3037512c293499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b618-7c03-a858-b8fa7d8e6ee5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_42421ea87b4c15c5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a836ca2bd26fec1f217efe624bd2b267f3d56d76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b618-7c03-a858-b8fa7d8e6ee5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_42421ea87b4c15c5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b474d9d4385d9765252f7d31dec203e71c2691a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-c5f4-78c0-a05f-baa5f3697cb2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_42421ea87b4c15c5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0959b29aa0675309c40b3f7047e0d4343acdc4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-c5f4-78c0-a05f-baa5f3697cb2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_42421ea87b4c15c5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/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_42421ea87b4c15c5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_42421ea87b4c15c5/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_47f9147387d93970/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8e4bd0156162c84bbe3aff06de462feb300e8eaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10239, "bytes_utf8": 10243, "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": 520, "bytes_utf8": 520, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14944, "cached_input_tokens": 13696, "output_tokens": 650, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b669700e0a6c2670af5cea79846ccab38be53530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_47f9147387d93970", + "api_calls": 0, + "input_tokens": 14944, + "cached_input_tokens": 13696, + "output_tokens": 650, + "total_tokens": 15594, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17211.65, + "sql_execution_elapsed_ms_total": 46.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/conversation.jsonl", + "note": "Executed through a 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_47f9147387d93970/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cc754757bb93bc8f7e97a3e9924d89ec620f2d15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:17.708882+00:00", + "ended_at": "2026-05-19T15:44:34.920563+00:00", + "elapsed_ms": 17211.65, + "prompt_metrics": { + "chars": 10239, + "bytes_utf8": 10243, + "lines": 268, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1220, + "bytes_utf8": 1220, + "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": 520, + "bytes_utf8": 520, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14944, + "cached_input_tokens": 13696, + "output_tokens": 650, + "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_47f9147387d93970/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b5e22618776196ed78931c22b2c35d9cec8bdf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/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=taster_name, group_col_2=taster_twitter_handle.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "taster_name", + "group_col_2": "taster_twitter_handle", + "predicate_col": "country", + "predicate_op": "=", + "predicate_value": "Chile", + "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": 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}, {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_47f9147387d93970/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ddd574db486fb9b5aca9a14e9b336b4c94dc5ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e8-c821-7361-8a47-7691ba0a4bc2"} +{"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 15579. Please try again in 467ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"taster_name\\\", \\\"taster_twitter_handle\\\", COUNT(*) AS row_count\\nFROM \\\"c18\\\"\\nWHERE \\\"country\\\" = 'Chile'\\nGROUP BY \\\"taster_name\\\", \\\"taster_twitter_handle\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=\\\"taster_name\\\", group_col_2=\\\"taster_twitter_handle\\\", and predicate \\\"country\\\" = 'Chile'. No LIMIT was added because the supplied runtime SQL skeleton does not include one.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14944,"cached_input_tokens":13696,"output_tokens":650,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c8f6c8cbb6b818b5be33b3f14ff1f85937c8f2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"taster_name\", \"taster_twitter_handle\", COUNT(*) AS row_count\nFROM \"c18\"\nWHERE \"country\" = 'Chile'\nGROUP BY \"taster_name\", \"taster_twitter_handle\"\nORDER BY row_count DESC;","notes":"Applied the provided filtered two-dimensional group count template with group_col=\"taster_name\", group_col_2=\"taster_twitter_handle\", and predicate \"country\" = 'Chile'. No LIMIT was added because the supplied runtime SQL skeleton does not include one."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47f9147387d93970/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_47fe1c8ab8593146/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3795cde959fd210c77a78adbc93fdc60d08c7d20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "", "support": 26244, "support_share": 0.20192196720806949, "cumulative_support": 26244}, {"value_label": "Roger Voss", "support": 25514, "support_share": 0.1963053296504605, "cumulative_support": 51758}, {"value_label": "Michael Schachner", "support": 15134, "support_share": 0.11644135999569134, "cumulative_support": 66892}, {"value_label": "Kerin O’Keefe", "support": 10776, "support_share": 0.08291080317917074, "cumulative_support": 77668}, {"value_label": "Virginie Boone", "support": 9537, "support_share": 0.07337790737933847, "cumulative_support": 87205}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f191043bf8b9145984f8fe201c51cebe7951ce3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_c18_47fe1c8ab8593146 +-- problem_id: v2p_c18_b2a15a2d1608f065 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "taster_name" AS value_label, COUNT(*) AS support + FROM "c18" + GROUP BY "taster_name" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e55d47be6da61de2169b3e2f97625c46a3cf43b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c18\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c18_47fe1c8ab8593146\n-- problem_id: v2p_c18_b2a15a2d1608f065\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"taster_name\" AS value_label, COUNT(*) AS support\n FROM \"c18\"\n GROUP BY \"taster_name\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c18\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c18_47fe1c8ab8593146\\n-- problem_id: v2p_c18_b2a15a2d1608f065\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"taster_name\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c18\\\"\\n GROUP BY \\\"taster_name\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"\", \"support\": 26244, \"support_share\": 0.20192196720806949, \"cumulative_support\": 26244}, {\"value_label\": \"Roger Voss\", \"support\": 25514, \"support_share\": 0.1963053296504605, \"cumulative_support\": 51758}, {\"value_label\": \"Michael Schachner\", \"support\": 15134, \"support_share\": 0.11644135999569134, \"cumulative_support\": 66892}, {\"value_label\": \"Kerin O’Keefe\", \"support\": 10776, \"support_share\": 0.08291080317917074, \"cumulative_support\": 77668}, {\"value_label\": \"Virginie Boone\", \"support\": 9537, \"support_share\": 0.07337790737933847, \"cumulative_support\": 87205}, {\"value_label\": \"Paul Gregutt\", \"support\": 9532, \"support_share\": 0.07333943725908088, \"cumulative_support\": 96737}, {\"value_label\": \"Matt Kettmann\", \"support\": 6332, \"support_share\": 0.04871856029421948, \"cumulative_support\": 103069}, {\"value_label\": \"Joe Czerwinski\", \"support\": 5147, \"support_share\": 0.039601141793169245, \"cumulative_support\": 108216}, {\"value_label\": \"Sean P. Sullivan\", \"support\": 4966, \"support_share\": 0.03820852343984427, \"cumulative_support\": 113182}, {\"value_label\": \"Anna Lee C. Iijima\", \"support\": 4415, \"support_share\": 0.0339691161874572, \"cumulative_support\": 117597}, {\"value_label\": \"Jim Gordon\", \"support\": 4177, \"support_share\": 0.03213793846319564, \"cumulative_support\": 121774}, {\"value_label\": \"Anne Krebiehl MW\", \"support\": 3685, \"support_share\": 0.0283524786298482, \"cumulative_support\": 125459}, {\"value_label\": \"Lauren Buzzeo\", \"support\": 1835, \"support_share\": 0.014118534134537704, \"cumulative_support\": 127294}, {\"value_label\": \"Susan Kostrzewa\", \"support\": 1085, \"support_share\": 0.008348016095898315, \"cumulative_support\": 128379}, {\"value_label\": \"Mike DeSimone\", \"support\": 514, \"support_share\": 0.0039547283624808615, \"cumulative_support\": 128893}, {\"value_label\": \"Jeff Jenssen\", \"support\": 491, \"support_share\": 0.00377776580929592, \"cumulative_support\": 129384}, {\"value_label\": \"Alexander Peartree\", \"support\": 415, \"support_share\": 0.0031930199813804618, \"cumulative_support\": 129799}, {\"value_label\": \"Carrie Dykes\", \"support\": 139, \"support_share\": 0.0010694693431611668, \"cumulative_support\": 129938}, {\"value_label\": \"Fiona Adams\", \"support\": 27, \"support_share\": 0.000207738649391018, \"cumulative_support\": 129965}, {\"value_label\": \"Christina Pickard\", \"support\": 6, \"support_share\": 4.616414430911511e-05, \"cumulative_support\": 129971}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 74.69}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4cba56c0555b8d9e56f8863f82e40737975387d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T16:08:25.632531+00:00", + "ended_at": "2026-05-19T16:08:25.708421+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_47fe1c8ab8593146", + "problem_id": "v2p_c18_b2a15a2d1608f065", + "dataset_id": "c18", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=taster_name.", + "bindings": { + "group_col": "taster_name" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_47fe1c8ab8593146.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_47fe1c8ab8593146/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac502498eed07018f7e51791a0d61976576a8219 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10168, "bytes_utf8": 10172, "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": 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": 10168, "bytes_utf8": 10172, "lines": 267, "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": 618, "bytes_utf8": 618, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14912, "cached_input_tokens": 12032, "output_tokens": 692, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b5f4dd78e3d5653d0753388cc371d29b311d43cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_4a2e31075b86a214", + "api_calls": 0, + "input_tokens": 14912, + "cached_input_tokens": 12032, + "output_tokens": 692, + "total_tokens": 15604, + "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": 18056.19, + "sql_execution_elapsed_ms_total": 98.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/conversation.jsonl", + "note": "Executed through a 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_4a2e31075b86a214/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a681a634c1e4779029707182fd09967c337e67ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/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": "2026-05-19T16:00:56.271962+00:00", + "ended_at": "2026-05-19T16:00:59.731880+00:00", + "elapsed_ms": 3459.89, + "returncode": 1, + "prompt_metrics": { + "chars": 10168, + "bytes_utf8": 10172, + "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_4a2e31075b86a214/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1691b9d2a630b8257fbb97e2501c605da42356bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:00.734184+00:00", + "ended_at": "2026-05-19T16:01:15.330531+00:00", + "elapsed_ms": 14596.3, + "prompt_metrics": { + "chars": 10168, + "bytes_utf8": 10172, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 998, + "bytes_utf8": 998, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 618, + "bytes_utf8": 618, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14912, + "cached_input_tokens": 12032, + "output_tokens": 692, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e5636e0fcbee653cd78a95a5e0c2697b723e411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/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=taster_twitter_handle, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "taster_twitter_handle", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 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_4a2e31075b86a214/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e5636e0fcbee653cd78a95a5e0c2697b723e411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/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=taster_twitter_handle, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "taster_twitter_handle", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 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_4a2e31075b86a214/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6dfd2200e1a4e68a0854f453cd2aab769ac9b96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-04f7-7763-8535-348dfc97e234"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_4a2e31075b86a214/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b8821c7ee205d87b3949b6b38d1fce7658e7d54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-04f7-7763-8535-348dfc97e234"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_4a2e31075b86a214/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da06b7edf1535c32b1667e4db14fbd4708f119f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-1649-7b51-9785-f69f9942abe1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"taster_twitter_handle\\\",\\n AVG(CASE WHEN \\\"country\\\" = 'US' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c18\\\"\\nWHERE \\\"taster_twitter_handle\\\" IS NOT NULL\\n AND \\\"taster_twitter_handle\\\" <> ''\\nGROUP BY \\\"taster_twitter_handle\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"condition_rate\\\" DESC, \\\"taster_twitter_handle\\\" ASC\\nLIMIT 14;\",\"notes\":\"Uses the grouped condition-rate template with group_col=\\\"taster_twitter_handle\\\" and condition_col=\\\"country\\\", measuring the share of US reviews per handle and filtering to groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14912,"cached_input_tokens":12032,"output_tokens":692,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7036c87103370f23d8d090af4fc9de9179fc490a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT\n \"taster_twitter_handle\",\n AVG(CASE WHEN \"country\" = 'US' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"c18\"\nWHERE \"taster_twitter_handle\" IS NOT NULL\n AND \"taster_twitter_handle\" <> ''\nGROUP BY \"taster_twitter_handle\"\nHAVING COUNT(*) >= 5\nORDER BY \"condition_rate\" DESC, \"taster_twitter_handle\" ASC\nLIMIT 14;","notes":"Uses the grouped condition-rate template with group_col=\"taster_twitter_handle\" and condition_col=\"country\", measuring the share of US reviews per handle and filtering to groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/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_4a2e31075b86a214/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4a2e31075b86a214/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_4b397533b14751be/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eaed5af24e7acc9814849769ddbc9e705dc6085e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10152, "bytes_utf8": 10156, "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": 366, "bytes_utf8": 366, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14909, "cached_input_tokens": 12032, "output_tokens": 460, "reasoning_output_tokens": 356}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dc2652f70acdce68ce7e1b00db244d97e5e4030a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_4b397533b14751be", + "api_calls": 0, + "input_tokens": 14909, + "cached_input_tokens": 12032, + "output_tokens": 460, + "total_tokens": 15369, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11010.11, + "sql_execution_elapsed_ms_total": 109.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/conversation.jsonl", + "note": "Executed through a 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_4b397533b14751be/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1960ffd623171a7499d51a7123fe4f3360437bf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:27.606508+00:00", + "ended_at": "2026-05-19T16:00:38.616648+00:00", + "elapsed_ms": 11010.11, + "prompt_metrics": { + "chars": 10152, + "bytes_utf8": 10156, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 729, + "bytes_utf8": 729, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 366, + "bytes_utf8": 366, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14909, + "cached_input_tokens": 12032, + "output_tokens": 460, + "reasoning_output_tokens": 356 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_4b397533b14751be/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07ad2fd62a9070c8b4bf50c2c0b974ab3bba0b4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/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 within_group_proportion. 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": "Portugal", + "positive_value": "US", + "negative_value": "Portugal", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_4b397533b14751be/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bb0e3e8cbbd99b98ca6d74e01b0bc05bd7f57cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-94db-7d02-9d74-75d3cb6b2239"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"region_2\\\",\\n AVG(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped Condition Rate over \\\"region_2\\\", computing the within-group proportion of rows where \\\"country\\\" is 'Portugal'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14909,"cached_input_tokens":12032,"output_tokens":460,"reasoning_output_tokens":356}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e91ebd3515c9885c6f092bfbe4906da41813eeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"region_2\",\n AVG(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c18\"\nGROUP BY \"region_2\"\nORDER BY \"condition_rate\" DESC;","notes":"Grouped Condition Rate over \"region_2\", computing the within-group proportion of rows where \"country\" is 'Portugal'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4b397533b14751be/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_4d0e38e59efac3ba/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8904fa4fd5ef06726fba9f6d824b3df137974bb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9889, "bytes_utf8": 9893, "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": 495, "bytes_utf8": 495, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14843, "cached_input_tokens": 12032, "output_tokens": 741, "reasoning_output_tokens": 613}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e8826462f3457992c9b52f9d792b05037b27dacc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_4d0e38e59efac3ba", + "api_calls": 0, + "input_tokens": 14843, + "cached_input_tokens": 12032, + "output_tokens": 741, + "total_tokens": 15584, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14073.28, + "sql_execution_elapsed_ms_total": 97.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/conversation.jsonl", + "note": "Executed through a 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_4d0e38e59efac3ba/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a5e318512009e0095d452147bd9aa742ce8687b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:58.150651+00:00", + "ended_at": "2026-05-19T15:29:12.223969+00:00", + "elapsed_ms": 14073.28, + "prompt_metrics": { + "chars": 9889, + "bytes_utf8": 9893, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 866, + "bytes_utf8": 866, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 495, + "bytes_utf8": 495, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14843, + "cached_input_tokens": 12032, + "output_tokens": 741, + "reasoning_output_tokens": 613 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_4d0e38e59efac3ba/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..82bdc14a570fda60c33a7104422236d3a8615961 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=price, measure_col=points.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "price", + "measure_col": "points", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8aaffcf6719437cf1473db139204a2cfd5876333 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-c03b-7922-876d-dacc9e591537"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"price\\\", SUM(CAST(\\\"points\\\" AS REAL)) AS total_measure\\nFROM \\\"c18\\\"\\nWHERE \\\"price\\\" IS NOT NULL AND \\\"price\\\" <> '' AND \\\"points\\\" IS NOT NULL AND \\\"points\\\" <> ''\\nGROUP BY \\\"price\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped numeric sum template with \\\"price\\\" as the grouping column and \\\"points\\\" cast to REAL for summation; empty text values are excluded because the SQLite snapshot stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14843,"cached_input_tokens":12032,"output_tokens":741,"reasoning_output_tokens":613}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f15a06414d45b6607e43594b730ecc72e9d007fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"price\", SUM(CAST(\"points\" AS REAL)) AS total_measure\nFROM \"c18\"\nWHERE \"price\" IS NOT NULL AND \"price\" <> '' AND \"points\" IS NOT NULL AND \"points\" <> ''\nGROUP BY \"price\"\nORDER BY total_measure DESC;","notes":"Uses the planned grouped numeric sum template with \"price\" as the grouping column and \"points\" cast to REAL for summation; empty text values are excluded because the SQLite snapshot stores these fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4d0e38e59efac3ba/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_4e4cb59c7bcd6e39/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fac72da7ae1cea28a3584084b1d448c875fa0477 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9815, "bytes_utf8": 9819, "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": 285, "bytes_utf8": 285, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14822, "cached_input_tokens": 13696, "output_tokens": 297, "reasoning_output_tokens": 217}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..034d781951d35ff03a67555dbb314330cd718da1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_4e4cb59c7bcd6e39", + "api_calls": 0, + "input_tokens": 14822, + "cached_input_tokens": 13696, + "output_tokens": 297, + "total_tokens": 15119, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17929.27, + "sql_execution_elapsed_ms_total": 77.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/conversation.jsonl", + "note": "Executed through a 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_4e4cb59c7bcd6e39/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4fb4924be292d59822a8c0cb8d64374c1c280a0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/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": "2026-05-19T15:33:59.973134+00:00", + "ended_at": "2026-05-19T15:34:17.902428+00:00", + "elapsed_ms": 17929.27, + "prompt_metrics": { + "chars": 9815, + "bytes_utf8": 9819, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 968, + "bytes_utf8": 968, + "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": 285, + "bytes_utf8": 285, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14822, + "cached_input_tokens": 13696, + "output_tokens": 297, + "reasoning_output_tokens": 217 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_4e4cb59c7bcd6e39/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..df33b7cfca8790d1385955b52fe4a6e4dab15c22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/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": 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}, 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_4e4cb59c7bcd6e39/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee48df92976d21b1064d38cee25dc8fb9a4577e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40df-5b3a-7553-8c92-03e17356efee"} +{"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 1991946, Requested 15457. Please try again in 222ms. 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 provided grouped-count template with group_col bound to \\\"taster_name\\\" on the single table \\\"c18\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14822,"cached_input_tokens":13696,"output_tokens":297,"reasoning_output_tokens":217}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..80e30c63cfb4bfd0445d33121a4d2c14dfb6b567 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/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 provided grouped-count template with group_col bound to \"taster_name\" on the single table \"c18\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4e4cb59c7bcd6e39/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_4fef0d56f4a579db/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b638810414df97b9d2d39d3c214e4f1a6a5a917d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10702, "bytes_utf8": 10706, "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": 648, "bytes_utf8": 648, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15052, "cached_input_tokens": 12032, "output_tokens": 457, "reasoning_output_tokens": 286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b4da9945376d6e7acc521155101531aa37a59410 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_4fef0d56f4a579db", + "api_calls": 0, + "input_tokens": 15052, + "cached_input_tokens": 12032, + "output_tokens": 457, + "total_tokens": 15509, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21159.33, + "sql_execution_elapsed_ms_total": 97.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/conversation.jsonl", + "note": "Executed through a 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_4fef0d56f4a579db/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b80532c87c1eeb34973f3127cb260470f0c720f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/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": "2026-05-19T15:43:04.378968+00:00", + "ended_at": "2026-05-19T15:43:25.538331+00:00", + "elapsed_ms": 21159.33, + "prompt_metrics": { + "chars": 10702, + "bytes_utf8": 10706, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2015, + "bytes_utf8": 2015, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 648, + "bytes_utf8": 648, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15052, + "cached_input_tokens": 12032, + "output_tokens": 457, + "reasoning_output_tokens": 286 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbee05f81aa23ed5e58fe3760375ce9748f41641 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/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=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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": "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_4fef0d56f4a579db/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..58d12ee31d0af9daaa84ffa23e670e5e174df938 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e7-a9b4-7973-ac53-8e86bb5fad77"} +{"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 15687. Please try again in 470ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15687. Please try again in 470ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985173, Requested 15687. Please try again in 25ms. 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 \\\"price\\\",\\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 \\\"price\\\"\\n)\\nSELECT \\\"price\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped-ratio template with group_col=\\\"price\\\" and condition_col=\\\"country\\\", computing the US-to-Portugal row-count ratio for each price group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15052,"cached_input_tokens":12032,"output_tokens":457,"reasoning_output_tokens":286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebe3a63ac71ef775b63c6a005c5185213c9005b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"price\",\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 \"price\"\n)\nSELECT \"price\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped-ratio template with group_col=\"price\" and condition_col=\"country\", computing the US-to-Portugal row-count ratio for each price group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_4fef0d56f4a579db/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_505fd4b60984eaa9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8516d0a6f031fabb1befc9cb57ea2c49a86ac033 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9885, "bytes_utf8": 9889, "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": 513, "bytes_utf8": 513, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14843, "cached_input_tokens": 12032, "output_tokens": 654, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1a82ed8201038754869542e81acf715631a8ce1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_505fd4b60984eaa9", + "api_calls": 0, + "input_tokens": 14843, + "cached_input_tokens": 12032, + "output_tokens": 654, + "total_tokens": 15497, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15174.24, + "sql_execution_elapsed_ms_total": 138.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/conversation.jsonl", + "note": "Executed through a 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_505fd4b60984eaa9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e82d4b5787f15373d7e64fb542b0749d7cb039fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:42.810263+00:00", + "ended_at": "2026-05-19T15:28:57.984540+00:00", + "elapsed_ms": 15174.24, + "prompt_metrics": { + "chars": 9885, + "bytes_utf8": 9889, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 889, + "bytes_utf8": 889, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 513, + "bytes_utf8": 513, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14843, + "cached_input_tokens": 12032, + "output_tokens": 654, + "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_505fd4b60984eaa9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..de8a5db70da856aa4813fb3e2f3ae8b50125faad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=price, measure_col=points.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "price", + "measure_col": "points", + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b908d3fd83fd602454826eaea0471371ff65b06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-8453-74f0-9040-18202d6f2e08"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"price\\\" AS REAL) AS \\\"price\\\", SUM(CAST(NULLIF(\\\"points\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c18\\\"\\nWHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\n AND NULLIF(\\\"points\\\", '') IS NOT NULL\\nGROUP BY CAST(\\\"price\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the required grouped-sum template with group_col=\\\"price\\\" and measure_col=\\\"points\\\". Casts TEXT fields to REAL and excludes empty strings so SQLite sums numeric values correctly.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14843,"cached_input_tokens":12032,"output_tokens":654,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..215398582db9bc5d93f24480f2006553dbe7b2bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"price\" AS REAL) AS \"price\", SUM(CAST(NULLIF(\"points\", '') AS REAL)) AS \"total_measure\"\nFROM \"c18\"\nWHERE NULLIF(\"price\", '') IS NOT NULL\n AND NULLIF(\"points\", '') IS NOT NULL\nGROUP BY CAST(\"price\" AS REAL)\nORDER BY \"total_measure\" DESC;","notes":"Uses the required grouped-sum template with group_col=\"price\" and measure_col=\"points\". Casts TEXT fields to REAL and excludes empty strings so SQLite sums numeric values correctly."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_505fd4b60984eaa9/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_5232e67052bc240b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cb7cbdcad82db0f6f19a673d6cb7d852636f3807 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10101, "bytes_utf8": 10105, "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": 1067, "bytes_utf8": 1067, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14890, "cached_input_tokens": 12032, "output_tokens": 1848, "reasoning_output_tokens": 1532}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..57447b5c1a4c65b6c262e6bd0fe43d1255960afc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_5232e67052bc240b", + "api_calls": 0, + "input_tokens": 14890, + "cached_input_tokens": 12032, + "output_tokens": 1848, + "total_tokens": 16738, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 34187.12, + "sql_execution_elapsed_ms_total": 266.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/conversation.jsonl", + "note": "Executed through a 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_5232e67052bc240b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cbc064c2cd9433e2f538dc74abfcce806e4b817e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:09.153237+00:00", + "ended_at": "2026-05-19T15:52:43.340389+00:00", + "elapsed_ms": 34187.12, + "prompt_metrics": { + "chars": 10101, + "bytes_utf8": 10105, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1508, + "bytes_utf8": 1508, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1067, + "bytes_utf8": 1067, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14890, + "cached_input_tokens": 12032, + "output_tokens": 1848, + "reasoning_output_tokens": 1532 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5232e67052bc240b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a288f704f27f4cb31d8f48cbc297207f0afff673 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/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_twitter_handle, measure_col=row_id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "row_id", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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},\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_5232e67052bc240b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d1efcfc84cb4a9437235cb86750d73347bd46c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-f9be-72f1-b9cd-733d3e4c64a5"} +{"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 \\\"taster_twitter_handle\\\",\\n CAST(\\\"row_id\\\" AS INTEGER) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"taster_twitter_handle\\\"\\n ORDER BY CAST(\\\"row_id\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"taster_twitter_handle\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"taster_twitter_handle\\\" IS NOT NULL\\n AND \\\"taster_twitter_handle\\\" <> ''\\n AND \\\"row_id\\\" IS NOT NULL\\n AND \\\"row_id\\\" <> ''\\n)\\nSELECT\\n \\\"taster_twitter_handle\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n AND \\\"rn\\\" = CAST((9 * \\\"cnt\\\" + 9) / 10 AS INTEGER)\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 19;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 90th percentile with a nearest-rank method per taster_twitter_handle. row_id is cast from TEXT to INTEGER, blank/null group and measure values are excluded, min_group_size=5 is enforced, and top_k=19 is applied.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14890,"cached_input_tokens":12032,"output_tokens":1848,"reasoning_output_tokens":1532}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..02872d164e2a553094345bb0302e1782ef81e088 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"taster_twitter_handle\",\n CAST(\"row_id\" AS INTEGER) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"taster_twitter_handle\"\n ORDER BY CAST(\"row_id\" AS INTEGER)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"taster_twitter_handle\"\n ) AS \"cnt\"\n FROM \"c18\"\n WHERE \"taster_twitter_handle\" IS NOT NULL\n AND \"taster_twitter_handle\" <> ''\n AND \"row_id\" IS NOT NULL\n AND \"row_id\" <> ''\n)\nSELECT\n \"taster_twitter_handle\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cnt\" >= 5\n AND \"rn\" = CAST((9 * \"cnt\" + 9) / 10 AS INTEGER)\nORDER BY \"percentile_measure\" DESC\nLIMIT 19;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 90th percentile with a nearest-rank method per taster_twitter_handle. row_id is cast from TEXT to INTEGER, blank/null group and measure values are excluded, min_group_size=5 is enforced, and top_k=19 is applied."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5232e67052bc240b/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_5abf6bdc293d67f2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9e4d171fc87d8832637030c974dae6d897309c60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9891, "bytes_utf8": 9895, "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": 371, "bytes_utf8": 371, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14845, "cached_input_tokens": 4480, "output_tokens": 522, "reasoning_output_tokens": 414}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8117a0ecc6241f262c621c4e4d9e4a075224879e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_5abf6bdc293d67f2", + "api_calls": 0, + "input_tokens": 14845, + "cached_input_tokens": 4480, + "output_tokens": 522, + "total_tokens": 15367, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12169.04, + "sql_execution_elapsed_ms_total": 128.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/conversation.jsonl", + "note": "Executed through a 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_5abf6bdc293d67f2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d000d18f5b7b04a31f9089e2c91650e1499b7e2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:18.012778+00:00", + "ended_at": "2026-05-19T15:28:30.181855+00:00", + "elapsed_ms": 12169.04, + "prompt_metrics": { + "chars": 9891, + "bytes_utf8": 9895, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 738, + "bytes_utf8": 738, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 371, + "bytes_utf8": 371, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14845, + "cached_input_tokens": 4480, + "output_tokens": 522, + "reasoning_output_tokens": 414 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5abf6bdc293d67f2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..85ecd42d8790739151e519f1b678033076e479f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=points, measure_col=row_id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ed139ee3d003884594a9bf401e7172e1fa36b89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-26e5-7c13-a45d-850b3993c5cd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"points\\\",\\n SUM(CAST(\\\"row_id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"points\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with group_col=\\\"points\\\" and measure_col=\\\"row_id\\\". CAST(\\\"row_id\\\" AS NUMERIC) is used because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14845,"cached_input_tokens":4480,"output_tokens":522,"reasoning_output_tokens":414}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2d6ee97f7d238bfca032ffaccac65cdd79b2b3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"points\",\n SUM(CAST(\"row_id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c18\"\nGROUP BY \"points\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the grouped numeric sum template with group_col=\"points\" and measure_col=\"row_id\". CAST(\"row_id\" AS NUMERIC) is used 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_5abf6bdc293d67f2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5abf6bdc293d67f2/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_5ad4b204326aeaba/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..97707614217d3c039b7dab4c993aa1da45d50170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10453, "bytes_utf8": 10457, "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": 868, "bytes_utf8": 868, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14987, "cached_input_tokens": 12032, "output_tokens": 762, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5f83aead12da9a6bfafa3311ecbea8fa4e20c61e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_5ad4b204326aeaba", + "api_calls": 0, + "input_tokens": 14987, + "cached_input_tokens": 12032, + "output_tokens": 762, + "total_tokens": 15749, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16235.37, + "sql_execution_elapsed_ms_total": 72.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/conversation.jsonl", + "note": "Executed through a 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_5ad4b204326aeaba/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ac77134b52e692b636d5a1c56b347db01bf014ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/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": "2026-05-19T15:47:46.858072+00:00", + "ended_at": "2026-05-19T15:48:03.093487+00:00", + "elapsed_ms": 16235.37, + "prompt_metrics": { + "chars": 10453, + "bytes_utf8": 10457, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1269, + "bytes_utf8": 1269, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 868, + "bytes_utf8": 868, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14987, + "cached_input_tokens": 12032, + "output_tokens": 762, + "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_5ad4b204326aeaba/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..03d4e386d686ca8cee5015d8859df06984633ccd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/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=region_2, measure_col=row_id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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": "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_5ad4b204326aeaba/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a379977b488da720e82aaa4ff090c4e946d460e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-f9b0-7e60-bbf9-b6f29705513a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"region_2\\\",\\n SUM(CAST(\\\"row_id\\\" AS NUMERIC)) AS group_value\\n FROM \\\"c18\\\"\\n WHERE \\\"region_2\\\" IS NOT NULL\\n AND \\\"region_2\\\" <> ''\\n AND \\\"row_id\\\" IS NOT NULL\\n AND \\\"row_id\\\" <> ''\\n GROUP BY \\\"region_2\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"region_2\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required relative-to-total threshold template with group_col bound to \\\"region_2\\\" and measure_col bound to \\\"row_id\\\". Casts \\\"row_id\\\" to NUMERIC because it is stored as TEXT, and filters out NULL/empty \\\"region_2\\\" and \\\"row_id\\\" values for a more stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14987,"cached_input_tokens":12032,"output_tokens":762,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32d93ee73c71d75afe48988c5920445e2e7be250 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"region_2\",\n SUM(CAST(\"row_id\" AS NUMERIC)) AS group_value\n FROM \"c18\"\n WHERE \"region_2\" IS NOT NULL\n AND \"region_2\" <> ''\n AND \"row_id\" IS NOT NULL\n AND \"row_id\" <> ''\n GROUP BY \"region_2\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"region_2\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the required relative-to-total threshold template with group_col bound to \"region_2\" and measure_col bound to \"row_id\". Casts \"row_id\" to NUMERIC because it is stored as TEXT, and filters out NULL/empty \"region_2\" and \"row_id\" values for a more stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5ad4b204326aeaba/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_5b08810914711685/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..70327c805841103030cc2fc002955f6982dc35eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9900, "bytes_utf8": 9904, "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": 353, "bytes_utf8": 353, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14848, "cached_input_tokens": 12032, "output_tokens": 504, "reasoning_output_tokens": 403}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e513e3544bcc2a1827fef199caf460c4a4c5dcfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_5b08810914711685", + "api_calls": 0, + "input_tokens": 14848, + "cached_input_tokens": 12032, + "output_tokens": 504, + "total_tokens": 15352, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 27111.98, + "sql_execution_elapsed_ms_total": 101.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/conversation.jsonl", + "note": "Executed through a 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_5b08810914711685/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b858065566e0904f9e73fde02168f2bdb9bc8f82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:42.808655+00:00", + "ended_at": "2026-05-19T15:30:09.920670+00:00", + "elapsed_ms": 27111.98, + "prompt_metrics": { + "chars": 9900, + "bytes_utf8": 9904, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2039, + "bytes_utf8": 2039, + "lines": 8, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 353, + "bytes_utf8": 353, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14848, + "cached_input_tokens": 12032, + "output_tokens": 504, + "reasoning_output_tokens": 403 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5b08810914711685/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0027a0dc189766fcf68d454e7559681033d7bc55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=taster_name, measure_col=row_id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "taster_name", + "measure_col": "row_id", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf3d2ec075feec291d75c69a20c4eec681ed81a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40db-6e87-7642-8842-9abf8df92d24"} +{"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 1992954, Requested 15483. Please try again in 253ms. 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 1996956, Requested 15483. Please try again in 373ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15483. Please try again in 464ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1995221, Requested 15483. Please try again in 321ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"taster_name\\\", SUM(CAST(\\\"row_id\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_name\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with \\\"taster_name\\\" as the grouping column and cast text-typed \\\"row_id\\\" to NUMERIC so SQLite can sum it reliably.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14848,"cached_input_tokens":12032,"output_tokens":504,"reasoning_output_tokens":403}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ede937ca3580a5e32c6c90d6d10d808909d5dbdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"taster_name\", SUM(CAST(\"row_id\" AS NUMERIC)) AS total_measure\nFROM \"c18\"\nGROUP BY \"taster_name\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped-sum template with \"taster_name\" as the grouping column and cast text-typed \"row_id\" to NUMERIC so SQLite can sum it reliably."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5b08810914711685/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_5cd6e9e2447d75bd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b2c6fd06d687e366b1d5e0f958abc6d98d7470d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9911, "bytes_utf8": 9915, "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": 9911, "bytes_utf8": 9915, "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": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14863, "cached_input_tokens": 12032, "output_tokens": 395, "reasoning_output_tokens": 287}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a38983cd2579704d5f254a2ce9b3ca262a56be05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_5cd6e9e2447d75bd", + "api_calls": 0, + "input_tokens": 14863, + "cached_input_tokens": 12032, + "output_tokens": 395, + "total_tokens": 15258, + "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": 14038.09, + "sql_execution_elapsed_ms_total": 77.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/conversation.jsonl", + "note": "Executed through a 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_5cd6e9e2447d75bd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..61f48ac5a9fd0d35fe362daa88fe111ce014d3a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:35.712805+00:00", + "ended_at": "2026-05-19T16:05:38.880321+00:00", + "elapsed_ms": 3167.49, + "returncode": 1, + "prompt_metrics": { + "chars": 9911, + "bytes_utf8": 9915, + "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_5cd6e9e2447d75bd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1a51f4560a468813a0915548b96b19a937c7b777 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:39.882798+00:00", + "ended_at": "2026-05-19T16:05:50.753442+00:00", + "elapsed_ms": 10870.6, + "prompt_metrics": { + "chars": 9911, + "bytes_utf8": 9915, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 752, + "bytes_utf8": 752, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 399, + "bytes_utf8": 399, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14863, + "cached_input_tokens": 12032, + "output_tokens": 395, + "reasoning_output_tokens": 287 + } + }, + "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_5cd6e9e2447d75bd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..42a4b8e65426fad558b3a987ef52e47c929343ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/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=taster_twitter_handle.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "taster_twitter_handle", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_5cd6e9e2447d75bd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..42a4b8e65426fad558b3a987ef52e47c929343ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/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=taster_twitter_handle.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "taster_twitter_handle", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_5cd6e9e2447d75bd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..81528cdd6e225ab227daf4fd9a948c71354395d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-486c-7643-99c3-76b0e109b34a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_5cd6e9e2447d75bd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4c00f05113e02912b15756e597b8334b56c1062 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-486c-7643-99c3-76b0e109b34a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_5cd6e9e2447d75bd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0ea1b7681786af215595300c4c9f2f03d5419c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-58b8-7d52-9ab0-e0c11de4a49a"} +{"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 \\\"taster_twitter_handle\\\",\\n COUNT(*) AS support\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_twitter_handle\\\"\\nORDER BY support ASC, \\\"taster_twitter_handle\\\"\\nLIMIT 14;\",\"notes\":\"Applies the Low-Support Group Count template using \\\"taster_twitter_handle\\\" as the grouping column and returns the 14 groups with the smallest support.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14863,"cached_input_tokens":12032,"output_tokens":395,"reasoning_output_tokens":287}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..42f1fc9896ff4fb9ade69a5644fbf28c662937b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"taster_twitter_handle\",\n COUNT(*) AS support\nFROM \"c18\"\nGROUP BY \"taster_twitter_handle\"\nORDER BY support ASC, \"taster_twitter_handle\"\nLIMIT 14;","notes":"Applies the Low-Support Group Count template using \"taster_twitter_handle\" as the grouping column and returns the 14 groups with the smallest support."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/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_5cd6e9e2447d75bd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5cd6e9e2447d75bd/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_5d2b59b25ebc4f94/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..758a5a2d1e9ae4e303003018debd180dddac6504 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9804, "bytes_utf8": 9808, "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": 293, "bytes_utf8": 293, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14819, "cached_input_tokens": 13696, "output_tokens": 198, "reasoning_output_tokens": 117}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..85ccf3d78a3ece5d063cd88cc3fac9c5b523819b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_5d2b59b25ebc4f94", + "api_calls": 0, + "input_tokens": 14819, + "cached_input_tokens": 13696, + "output_tokens": 198, + "total_tokens": 15017, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 6800.52, + "sql_execution_elapsed_ms_total": 77.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/conversation.jsonl", + "note": "Executed through a 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_5d2b59b25ebc4f94/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3e1580063ca87f0d6fec1c0edc7a6070c448af9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/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": "2026-05-19T15:33:21.773382+00:00", + "ended_at": "2026-05-19T15:33:28.573926+00:00", + "elapsed_ms": 6800.52, + "prompt_metrics": { + "chars": 9804, + "bytes_utf8": 9808, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 651, + "bytes_utf8": 651, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 293, + "bytes_utf8": 293, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14819, + "cached_input_tokens": 13696, + "output_tokens": 198, + "reasoning_output_tokens": 117 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5d2b59b25ebc4f94/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8636d180af358d96c2eab8da40a6c3eef258c8dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/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=points.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "points", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, 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_5d2b59b25ebc4f94/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa0e9596eee300d85273887fed62d8cc206d17c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-c5e8-72a3-8148-830b7e8546e3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"points\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"points\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the provided Grouped Count by Category template with group_col bound to \\\"points\\\" on the single table \\\"c18\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14819,"cached_input_tokens":13696,"output_tokens":198,"reasoning_output_tokens":117}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d7d7fad51a8c3266fd3e4da3ec2038aeb7cdc3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"points\", COUNT(*) AS \"row_count\"\nFROM \"c18\"\nGROUP BY \"points\"\nORDER BY \"row_count\" DESC;","notes":"Applied the provided Grouped Count by Category template with group_col bound to \"points\" on the single table \"c18\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5d2b59b25ebc4f94/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_5eb5b303623c62ce/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c7dbd0f227838eb10e3923ef6a3a9f5d6a0a6fe0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10297, "bytes_utf8": 10301, "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": 1027, "bytes_utf8": 1027, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14962, "cached_input_tokens": 12032, "output_tokens": 1038, "reasoning_output_tokens": 743}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81133ce3b8383e481500494b939bf7618738435b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_5eb5b303623c62ce", + "api_calls": 0, + "input_tokens": 14962, + "cached_input_tokens": 12032, + "output_tokens": 1038, + "total_tokens": 16000, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20180.87, + "sql_execution_elapsed_ms_total": 343.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/conversation.jsonl", + "note": "Executed through a 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_5eb5b303623c62ce/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..34012a8952f1b79a19e3e80f39406b31cd80ab6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:34.023693+00:00", + "ended_at": "2026-05-19T15:40:54.204605+00:00", + "elapsed_ms": 20180.87, + "prompt_metrics": { + "chars": 10297, + "bytes_utf8": 10301, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1507, + "bytes_utf8": 1507, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1027, + "bytes_utf8": 1027, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14962, + "cached_input_tokens": 12032, + "output_tokens": 1038, + "reasoning_output_tokens": 743 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5eb5b303623c62ce/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4bfed1817bcf555682c597b26a13422ed8b0bf2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/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=price, measure_col=points.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "price", + "measure_col": "points", + "item_col": "winery", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, {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_5eb5b303623c62ce/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..772d8177cd5c8bdf2c9a6d5ec92049f8684e799a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-5e6f-72f3-9550-a551b7d98911"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"base\\\" AS (\\n SELECT\\n CAST(NULLIF(\\\"price\\\", '') AS REAL) AS \\\"price\\\",\\n \\\"winery\\\",\\n CAST(NULLIF(\\\"points\\\", '') AS REAL) AS \\\"points\\\"\\n FROM \\\"c18\\\"\\n WHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\n AND NULLIF(\\\"points\\\", '') IS NOT NULL\\n AND NULLIF(\\\"winery\\\", '') IS NOT NULL\\n),\\n\\\"grouped\\\" AS (\\n SELECT\\n \\\"price\\\",\\n \\\"winery\\\",\\n SUM(\\\"points\\\") AS \\\"total_measure\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"price\\\", \\\"winery\\\"\\n)\\nSELECT\\n \\\"price\\\",\\n \\\"winery\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"price\\\") AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the requested within-group share template with group_col=\\\"price\\\", item_col=\\\"winery\\\", and measure_col=\\\"points\\\". Since \\\"price\\\" and \\\"points\\\" are stored as TEXT in the schema snapshot, the query casts them to REAL and filters empty strings before aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14962,"cached_input_tokens":12032,"output_tokens":1038,"reasoning_output_tokens":743}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d8e19fbbf89944c6f720d87c6e8ed14cd02c082 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nWITH \"base\" AS (\n SELECT\n CAST(NULLIF(\"price\", '') AS REAL) AS \"price\",\n \"winery\",\n CAST(NULLIF(\"points\", '') AS REAL) AS \"points\"\n FROM \"c18\"\n WHERE NULLIF(\"price\", '') IS NOT NULL\n AND NULLIF(\"points\", '') IS NOT NULL\n AND NULLIF(\"winery\", '') IS NOT NULL\n),\n\"grouped\" AS (\n SELECT\n \"price\",\n \"winery\",\n SUM(\"points\") AS \"total_measure\"\n FROM \"base\"\n GROUP BY \"price\", \"winery\"\n)\nSELECT\n \"price\",\n \"winery\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"price\") AS \"share_within_group\"\nFROM \"grouped\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the requested within-group share template with group_col=\"price\", item_col=\"winery\", and measure_col=\"points\". Since \"price\" and \"points\" are stored as TEXT in the schema snapshot, the query casts them to REAL and filters empty strings before aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5eb5b303623c62ce/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_5f016834eee000eb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e6c3e8da5814295ac88b1fbdcec36a13173f8386 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10291, "bytes_utf8": 10295, "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": 699, "bytes_utf8": 699, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14960, "cached_input_tokens": 13696, "output_tokens": 705, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6c9b7b43b8b298c9724946efda38fc6c99c7a603 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_5f016834eee000eb", + "api_calls": 0, + "input_tokens": 14960, + "cached_input_tokens": 13696, + "output_tokens": 705, + "total_tokens": 15665, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15598.08, + "sql_execution_elapsed_ms_total": 100.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/conversation.jsonl", + "note": "Executed through a 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_5f016834eee000eb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f70c5eb8c8af2b8940830941edd6626752c494e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:07.156126+00:00", + "ended_at": "2026-05-19T15:35:22.754249+00:00", + "elapsed_ms": 15598.08, + "prompt_metrics": { + "chars": 10291, + "bytes_utf8": 10295, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1096, + "bytes_utf8": 1096, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 699, + "bytes_utf8": 699, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14960, + "cached_input_tokens": 13696, + "output_tokens": 705, + "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_5f016834eee000eb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3aca612ce0daeced1ea677873c033f8c2929ded --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/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=points, measure_col=points.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "points", + "measure_col": "points", + "item_col": "points", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_5f016834eee000eb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..03cc6c81e19d0996b371966726aaf0bbd4e20e18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-61bb-7820-ad2e-a0226ca14abb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"points\\\" AS \\\"group_points\\\", \\\"points\\\" AS \\\"item_points\\\",\\n SUM(CAST(NULLIF(\\\"points\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"points\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"points\\\", '') AS REAL))) OVER (PARTITION BY \\\"points\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c18\\\"\\nWHERE NULLIF(\\\"points\\\", '') IS NOT NULL\\nGROUP BY \\\"points\\\", \\\"points\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the required template with group_col=item_col=measure_col bound to \\\"points\\\". Because the measure column is stored as TEXT in SQLite, the query casts non-empty values to REAL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14960,"cached_input_tokens":13696,"output_tokens":705,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5040c9e14630fc5e6cb5792db58f2954364d082 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"points\" AS \"group_points\", \"points\" AS \"item_points\",\n SUM(CAST(NULLIF(\"points\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"points\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"points\", '') AS REAL))) OVER (PARTITION BY \"points\") AS \"share_within_group\"\nFROM \"c18\"\nWHERE NULLIF(\"points\", '') IS NOT NULL\nGROUP BY \"points\", \"points\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the required template with group_col=item_col=measure_col bound to \"points\". Because the measure column is stored as TEXT in SQLite, the query casts non-empty values to REAL before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_5f016834eee000eb/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..307219a46b5b3bbe9ec0654c62464135b210c129 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=taster_name. +Result preview: [{"taster_name": "", "row_count": 26244}, {"taster_name": "Roger Voss", "row_count": 25514}, {"taster_name": "Michael Schachner", "row_count": 15134}, {"taster_name": "Kerin O’Keefe", "row_count": 10776}, {"taster_name": "Virginie Boone", "row_count": 9537}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..de63706f491ca3638109ab69ca09a733cce58026 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_c18_626a970373b7eb7c +-- problem_id: v2p_c18_a5d4de6f31322794 +-- realization_mode: agent +-- source_kind: agent +SELECT "taster_name", COUNT(*) AS row_count +FROM "c18" +GROUP BY "taster_name" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c092f42f7fe0039cbfd1b1230d37cc99847e4dce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count.\nSELECT \"taster_name\", COUNT(*) AS row_count\nFROM \"c18\"\nGROUP BY \"taster_name\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count.\\nSELECT \\\"taster_name\\\", COUNT(*) AS row_count\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_name\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"taster_name\", \"row_count\"], \"rows\": [{\"taster_name\": \"\", \"row_count\": 26244}, {\"taster_name\": \"Roger Voss\", \"row_count\": 25514}, {\"taster_name\": \"Michael Schachner\", \"row_count\": 15134}, {\"taster_name\": \"Kerin O’Keefe\", \"row_count\": 10776}, {\"taster_name\": \"Virginie Boone\", \"row_count\": 9537}, {\"taster_name\": \"Paul Gregutt\", \"row_count\": 9532}, {\"taster_name\": \"Matt Kettmann\", \"row_count\": 6332}, {\"taster_name\": \"Joe Czerwinski\", \"row_count\": 5147}, {\"taster_name\": \"Sean P. Sullivan\", \"row_count\": 4966}, {\"taster_name\": \"Anna Lee C. Iijima\", \"row_count\": 4415}, {\"taster_name\": \"Jim Gordon\", \"row_count\": 4177}, {\"taster_name\": \"Anne Krebiehl MW\", \"row_count\": 3685}, {\"taster_name\": \"Lauren Buzzeo\", \"row_count\": 1835}, {\"taster_name\": \"Susan Kostrzewa\", \"row_count\": 1085}, {\"taster_name\": \"Mike DeSimone\", \"row_count\": 514}, {\"taster_name\": \"Jeff Jenssen\", \"row_count\": 491}, {\"taster_name\": \"Alexander Peartree\", \"row_count\": 415}, {\"taster_name\": \"Carrie Dykes\", \"row_count\": 139}, {\"taster_name\": \"Fiona Adams\", \"row_count\": 27}, {\"taster_name\": \"Christina Pickard\", \"row_count\": 6}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 106.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3d8bbf408f67609822a75915936963a74013cc58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:32:50.557018+00:00", + "ended_at": "2026-05-19T15:33:11.631969+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_626a970373b7eb7c", + "problem_id": "v2p_c18_a5d4de6f31322794", + "dataset_id": "c18", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=taster_name.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=13" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_626a970373b7eb7c.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae5c5e1142a5741d2eebb402bc9b41244a269e84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:11.522745+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20940.48, "started_at": "2026-05-19T15:32:50.580326+00:00", "ended_at": "2026-05-19T15:33:11.520850+00:00", "prompt_metrics": {"chars": 9811, "bytes_utf8": 9815, "lines": 262, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c2c50bd7728d73a04b20804f9b3d63cac58adaf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_626a970373b7eb7c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_650a68979371c737/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4092782730af541c305fabf275316420bd1f2227 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:57.719226+00:00", + "ended_at": "2026-05-19T16:05:01.075607+00:00", + "elapsed_ms": 3356.35, + "returncode": 1, + "prompt_metrics": { + "chars": 9885, + "bytes_utf8": 9889, + "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_650a68979371c737/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eea822d2e9810f433b7c5f28ba31ce49a697885a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/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": "2026-05-19T16:05:02.078032+00:00", + "ended_at": "2026-05-19T16:05:05.552340+00:00", + "elapsed_ms": 3474.28, + "returncode": 1, + "prompt_metrics": { + "chars": 9885, + "bytes_utf8": 9889, + "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_650a68979371c737/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ec97991ebcccb39357a94464a93d3239d6580e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/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=region_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "region_2", + "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": 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\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_650a68979371c737/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ec97991ebcccb39357a94464a93d3239d6580e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/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=region_2.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "region_2", + "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": 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\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_650a68979371c737/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff5641be061defa6cb35b5cf86e31d750ee309b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b3f1-7142-aa90-a73d696b5e87"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_650a68979371c737/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecb6dfbbc2730815bac21a8557a341c7a86e1a68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b3f1-7142-aa90-a73d696b5e87"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5d8d5e67403b3423f26fcff53cce7e5ea142adb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c4fd-7902-81ad-438871605ab5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_650a68979371c737/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/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_650a68979371c737/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_650a68979371c737/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_65411953411ff5b0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..93eab9cfdd4507488e7d3c43e2fd2376610e055f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T16:08:08.416092+00:00", + "ended_at": "2026-05-19T16:08:16.134140+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_65411953411ff5b0", + "problem_id": "v2p_c18_0e7aea76ecaafa7f", + "dataset_id": "c18", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=taster_name, measure_col=row_id.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1df5db68cf8d83fbe3c20dbc74b0bca825449c4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65411953411ff5b0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:11.909986+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3466.14, "started_at": "2026-05-19T16:08:08.442910+00:00", "ended_at": "2026-05-19T16:08:11.909080+00:00", "prompt_metrics": {"chars": 9987, "bytes_utf8": 9991, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-9d03-74f1-ba21-447bab636479\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:16.133903+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3222.23, "started_at": "2026-05-19T16:08:12.910890+00:00", "ended_at": "2026-05-19T16:08:16.133151+00:00", "prompt_metrics": {"chars": 9987, "bytes_utf8": 9991, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-ae79-7a50-a2a3-e8ad3909a011\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..24c4a72afbe79dcc8ae27062ea93f59db661b7b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10447, "bytes_utf8": 10451, "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": 702, "bytes_utf8": 702, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14983, "cached_input_tokens": 13696, "output_tokens": 442, "reasoning_output_tokens": 230}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7273c77c6873a7a456508ac78c2a613f81d2f0ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_65d73d574d6f99f0", + "api_calls": 0, + "input_tokens": 14983, + "cached_input_tokens": 13696, + "output_tokens": 442, + "total_tokens": 15425, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10413.57, + "sql_execution_elapsed_ms_total": 88.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/conversation.jsonl", + "note": "Executed through a 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_65d73d574d6f99f0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..18d6dc89f7cb82a225c139c7228821378703c07c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:28.407382+00:00", + "ended_at": "2026-05-19T15:50:38.820987+00:00", + "elapsed_ms": 10413.57, + "prompt_metrics": { + "chars": 10447, + "bytes_utf8": 10451, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1125, + "bytes_utf8": 1125, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 702, + "bytes_utf8": 702, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14983, + "cached_input_tokens": 13696, + "output_tokens": 442, + "reasoning_output_tokens": 230 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2cba8aa15f59cba9995918a1437ee3a67a86d8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/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 count_distribution. Focus on group_col=region_2, measure_col=price.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "region_2", + "measure_col": "price", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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": "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_65d73d574d6f99f0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c72eb2a3fd81dee95594f857aac505e02c53dc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-7038-7000-82eb-64390ea5f2d2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"region_2\\\",\\n SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c18\\\"\\n GROUP BY \\\"region_2\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"region_2\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the required template with group_col=\\\"region_2\\\" and measure_col=\\\"price\\\". Because \\\"price\\\" is stored as TEXT and may be empty, NULLIF plus CAST converts valid values to REAL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14983,"cached_input_tokens":13696,"output_tokens":442,"reasoning_output_tokens":230}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d786963b61e400bb4ca8729388075d53df551f79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"region_2\",\n SUM(CAST(NULLIF(\"price\", '') AS REAL)) AS \"group_value\"\n FROM \"c18\"\n GROUP BY \"region_2\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"region_2\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Uses the required template with group_col=\"region_2\" and measure_col=\"price\". Because \"price\" is stored as TEXT and may be empty, NULLIF plus CAST converts valid values to REAL before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_65d73d574d6f99f0/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_67af477f37a6e334/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b24377200eaea5357dbed6e0201bc43c1f2a2f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10062, "bytes_utf8": 10066, "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": 511, "bytes_utf8": 511, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14898, "cached_input_tokens": 13696, "output_tokens": 446, "reasoning_output_tokens": 305}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fa526a5431b6572318dd098ab540ac6b3bf0b199 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_67af477f37a6e334", + "api_calls": 0, + "input_tokens": 14898, + "cached_input_tokens": 13696, + "output_tokens": 446, + "total_tokens": 15344, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16009.98, + "sql_execution_elapsed_ms_total": 212.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/conversation.jsonl", + "note": "Executed through a 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_67af477f37a6e334/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e101a183be898d06c6a427108487bb2648aa52ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/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": "2026-05-19T15:45:54.499223+00:00", + "ended_at": "2026-05-19T15:46:10.509234+00:00", + "elapsed_ms": 16009.98, + "prompt_metrics": { + "chars": 10062, + "bytes_utf8": 10066, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1213, + "bytes_utf8": 1213, + "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": 511, + "bytes_utf8": 511, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14898, + "cached_input_tokens": 13696, + "output_tokens": 446, + "reasoning_output_tokens": 305 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_67af477f37a6e334/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5d433095d0d74c4309fb8b5e830ac0a296f81f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/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=points.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "points", + "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": "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_67af477f37a6e334/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3dd2e3d83be31a93286bf99e53254b11f28dee7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ea-4247-7f03-88aa-dd6cf2dc601f"} +{"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 15533. Please try again in 465ms. 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 \\\"points\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"points\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"c18\\\"\\n WHERE \\\"points\\\" IS NOT NULL AND \\\"points\\\" <> ''\\n)\\nSELECT \\\"points\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"points\\\" AS REAL) DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"points\\\" and cast to REAL because the schema stores points as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14898,"cached_input_tokens":13696,"output_tokens":446,"reasoning_output_tokens":305}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6421a3025f2ade8d12c06a55bc0949bc9bf35c76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"points\",\n NTILE(10) OVER (ORDER BY CAST(\"points\" AS REAL) DESC) AS tail_bucket\n FROM \"c18\"\n WHERE \"points\" IS NOT NULL AND \"points\" <> ''\n)\nSELECT \"points\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"points\" AS REAL) DESC;","notes":"Used the Quantile Tail Slice template with measure_col bound to \"points\" and cast to REAL because the schema stores points as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_67af477f37a6e334/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_69206980309237bd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e8ffe9513f19ecaf7556acc395098eb4be685a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10459, "bytes_utf8": 10463, "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": 860, "bytes_utf8": 860, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14986, "cached_input_tokens": 12032, "output_tokens": 747, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e5ae9ca3ae750168c1cb802695faa7f5a8e9852e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_69206980309237bd", + "api_calls": 0, + "input_tokens": 14986, + "cached_input_tokens": 12032, + "output_tokens": 747, + "total_tokens": 15733, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16538.84, + "sql_execution_elapsed_ms_total": 100.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/conversation.jsonl", + "note": "Executed through a 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_69206980309237bd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..34296f9db5625032d31c789e643ce723cae1fb06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:50.806288+00:00", + "ended_at": "2026-05-19T15:51:07.345162+00:00", + "elapsed_ms": 16538.84, + "prompt_metrics": { + "chars": 10459, + "bytes_utf8": 10463, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1254, + "bytes_utf8": 1254, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 860, + "bytes_utf8": 860, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14986, + "cached_input_tokens": 12032, + "output_tokens": 747, + "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_69206980309237bd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2991384810578486f2c7e790d112bfa2ffa1b45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/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=taster_name, measure_col=row_id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "taster_name", + "measure_col": "row_id", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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": "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_69206980309237bd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8680dda3861ab16be53381d8096b59d226d1aad9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-c7ba-75b1-ba2f-37cb69d1d128"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"taster_name\\\", SUM(CAST(NULLIF(\\\"row_id\\\", '') AS REAL)) AS group_value\\n FROM \\\"c18\\\"\\n WHERE \\\"taster_name\\\" IS NOT NULL\\n AND TRIM(\\\"taster_name\\\") <> ''\\n AND NULLIF(\\\"row_id\\\", '') IS NOT NULL\\n GROUP BY \\\"taster_name\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"taster_name\\\", 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 required relative-to-total threshold template with group_col=\\\"taster_name\\\" and measure_col=\\\"row_id\\\". Cast \\\"row_id\\\" from TEXT to REAL for SQLite aggregation and filtered out blank/null \\\"taster_name\\\" and empty \\\"row_id\\\" values to keep a stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14986,"cached_input_tokens":12032,"output_tokens":747,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0891e85e72574e7cebf164b17088d8ed549c3897 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"taster_name\", SUM(CAST(NULLIF(\"row_id\", '') AS REAL)) AS group_value\n FROM \"c18\"\n WHERE \"taster_name\" IS NOT NULL\n AND TRIM(\"taster_name\") <> ''\n AND NULLIF(\"row_id\", '') IS NOT NULL\n GROUP BY \"taster_name\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"taster_name\", 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 required relative-to-total threshold template with group_col=\"taster_name\" and measure_col=\"row_id\". Cast \"row_id\" from TEXT to REAL for SQLite aggregation and filtered out blank/null \"taster_name\" and empty \"row_id\" values to keep a stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_69206980309237bd/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/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..44c63b900d915042bad3965e5dea6019c951f39f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:55:59.002281+00:00", + "ended_at": "2026-05-19T15:56:06.455737+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_6a67259637d022e0", + "problem_id": "v2p_c18_c309eaee03e92265", + "dataset_id": "c18", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=taster_name, measure_col=points.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9d524d4c7bf1a9d107f8bf6e2d0bd2c1c249fa69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6a67259637d022e0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:02.371498+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3347.83, "started_at": "2026-05-19T15:55:59.022848+00:00", "ended_at": "2026-05-19T15:56:02.370713+00:00", "prompt_metrics": {"chars": 10078, "bytes_utf8": 10082, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-7bc5-7901-ad47-9e94a28d80df\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:56:06.455608+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3081.49, "started_at": "2026-05-19T15:56:03.372688+00:00", "ended_at": "2026-05-19T15:56:06.454222+00:00", "prompt_metrics": {"chars": 10078, "bytes_utf8": 10082, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-8cc0-7452-abef-9416b35bb8e2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c30d4c38b111f6095c59729801962358b619fa6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9885, "bytes_utf8": 9889, "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": 444, "bytes_utf8": 444, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14843, "cached_input_tokens": 13696, "output_tokens": 750, "reasoning_output_tokens": 632}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9a250331968019c996bde8b61dc07dcdbd39bf56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_6c75dabf71348621", + "api_calls": 0, + "input_tokens": 14843, + "cached_input_tokens": 13696, + "output_tokens": 750, + "total_tokens": 15593, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26121.61, + "sql_execution_elapsed_ms_total": 110.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/conversation.jsonl", + "note": "Executed through a 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_6c75dabf71348621/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..da7ae31fa9257d2cd023de78b56a48208a7e6550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:58.353788+00:00", + "ended_at": "2026-05-19T15:31:24.475448+00:00", + "elapsed_ms": 26121.61, + "prompt_metrics": { + "chars": 9885, + "bytes_utf8": 9889, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1806, + "bytes_utf8": 1806, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 444, + "bytes_utf8": 444, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14843, + "cached_input_tokens": 13696, + "output_tokens": 750, + "reasoning_output_tokens": 632 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6c75dabf71348621/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4552995867d0781b76da5b994c468fe97e2255e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=points, measure_col=price.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "points", + "measure_col": "price", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..90882c0af47fc7e8c530383aac747eea90875213 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40dc-95b2-7aa1-8294-c1da900bba1e"} +{"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 15478. Please try again in 464ms. 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 15478. Please try again in 464ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15478. Please try again in 464ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"points\\\", SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c18\\\"\\nWHERE NULLIF(\\\"price\\\", '') IS NOT NULL AND NULLIF(\\\"points\\\", '') IS NOT NULL\\nGROUP BY \\\"points\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"points\\\" and measure_col=\\\"price\\\". NULLIF and CAST handle empty-string numeric fields stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14843,"cached_input_tokens":13696,"output_tokens":750,"reasoning_output_tokens":632}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8c2c8453d38520b256dc76fc320afade5c37cfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"points\", SUM(CAST(NULLIF(\"price\", '') AS REAL)) AS total_measure\nFROM \"c18\"\nWHERE NULLIF(\"price\", '') IS NOT NULL AND NULLIF(\"points\", '') IS NOT NULL\nGROUP BY \"points\"\nORDER BY total_measure DESC;","notes":"Uses the planned grouped-sum template with group_col=\"points\" and measure_col=\"price\". NULLIF and CAST handle empty-string numeric fields stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6c75dabf71348621/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_6cc4de070e9a23f3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aed14eb998ba38d209ec90b09ac602aa72d0b54d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10133, "bytes_utf8": 10137, "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": 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": 10133, "bytes_utf8": 10137, "lines": 267, "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": 450, "bytes_utf8": 450, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14904, "cached_input_tokens": 12032, "output_tokens": 777, "reasoning_output_tokens": 658}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4b1d2f6e64cd3381ed7aa66febcc2e3b07a785fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_6cc4de070e9a23f3", + "api_calls": 0, + "input_tokens": 14904, + "cached_input_tokens": 12032, + "output_tokens": 777, + "total_tokens": 15681, + "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": 24122.25, + "sql_execution_elapsed_ms_total": 93.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/conversation.jsonl", + "note": "Executed through a 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_6cc4de070e9a23f3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7dfa87a9069fdf04869feca2ce67a82844e26b97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:44.996911+00:00", + "ended_at": "2026-05-19T16:01:49.184911+00:00", + "elapsed_ms": 4187.97, + "returncode": 1, + "prompt_metrics": { + "chars": 10133, + "bytes_utf8": 10137, + "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_6cc4de070e9a23f3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3107920358c897162e0d1cea916e6d75dabee660 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:50.187285+00:00", + "ended_at": "2026-05-19T16:02:10.121611+00:00", + "elapsed_ms": 19934.28, + "prompt_metrics": { + "chars": 10133, + "bytes_utf8": 10137, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 817, + "bytes_utf8": 817, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 450, + "bytes_utf8": 450, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14904, + "cached_input_tokens": 12032, + "output_tokens": 777, + "reasoning_output_tokens": 658 + } + }, + "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_6cc4de070e9a23f3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d61207238971a65bab1116edc849bdcb0257defa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/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=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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},\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_6cc4de070e9a23f3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d61207238971a65bab1116edc849bdcb0257defa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/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=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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},\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_6cc4de070e9a23f3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..475fd1fc88df65afa307983c39e752f699049131 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-c32e-7cf2-8f72-bb192dbc96dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_6cc4de070e9a23f3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69a7ab9b318f526c936f791ef7501f77fa751a0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-c32e-7cf2-8f72-bb192dbc96dd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_6cc4de070e9a23f3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7fe8a6815da2d889244a3cb9cf72bda012651ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-d78c-7c02-9043-3611d5c6f10b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"price\\\",\\n AVG(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"price\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"price\\\" and condition_col=\\\"country\\\" for condition_value='US'. \\\"price\\\" is grouped as stored text values, so empty strings remain a separate group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14904,"cached_input_tokens":12032,"output_tokens":777,"reasoning_output_tokens":658}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1019c0a16f5de8c89b932f8a8255b830ec4b5d86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"price\",\n AVG(CASE WHEN \"country\" = 'US' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c18\"\nGROUP BY \"price\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the provided Grouped Condition Rate template with group_col=\"price\" and condition_col=\"country\" for condition_value='US'. \"price\" is grouped as stored text values, so empty strings remain a separate group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/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_6cc4de070e9a23f3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6cc4de070e9a23f3/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_6e8e7bf601763724/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2162688ca69948296c66285fa918bb3de8372b23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10077, "bytes_utf8": 10081, "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": 1759, "bytes_utf8": 1759, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14884, "cached_input_tokens": 13696, "output_tokens": 1773, "reasoning_output_tokens": 1173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bcc4df775567e741d205a6e5644d288bdf479bcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_6e8e7bf601763724", + "api_calls": 0, + "input_tokens": 14884, + "cached_input_tokens": 13696, + "output_tokens": 1773, + "total_tokens": 16657, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25772.78, + "sql_execution_elapsed_ms_total": 382.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/conversation.jsonl", + "note": "Executed through a 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_6e8e7bf601763724/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7dec94e2de8687cb55f5438f2e05462e30b37487 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:32.843718+00:00", + "ended_at": "2026-05-19T15:55:58.616527+00:00", + "elapsed_ms": 25772.78, + "prompt_metrics": { + "chars": 10077, + "bytes_utf8": 10081, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2361, + "bytes_utf8": 2361, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1759, + "bytes_utf8": 1759, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14884, + "cached_input_tokens": 13696, + "output_tokens": 1773, + "reasoning_output_tokens": 1173 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6e8e7bf601763724/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6e5fb7ef045964211a587607e4e2bbf31d1b150 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/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_name, measure_col=points.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "taster_name", + "measure_col": "points", + "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},\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_6e8e7bf601763724/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..96cf09a4023e2f2aff1b83e720fcc91ce7ac173b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-1573-7e82-a0ef-1feec54f54ba"} +{"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_name\\\",\\n CAST(\\\"points\\\" AS REAL) AS \\\"points_value\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"taster_name\\\" IS NOT NULL\\n AND TRIM(\\\"taster_name\\\") <> ''\\n AND \\\"points\\\" IS NOT NULL\\n AND TRIM(\\\"points\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"taster_name\\\",\\n \\\"points_value\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"taster_name\\\" ORDER BY \\\"points_value\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"taster_name\\\") AS \\\"cnt\\\"\\n FROM \\\"filtered\\\"\\n),\\n\\\"positioned\\\" AS (\\n SELECT\\n \\\"taster_name\\\",\\n \\\"points_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"p\\\",\\n CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) AS \\\"lo\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) > CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n THEN CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) + 1\\n ELSE CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n END AS \\\"hi\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"taster_name\\\",\\n CASE\\n WHEN MAX(\\\"lo\\\") = MAX(\\\"hi\\\") THEN MAX(CASE WHEN \\\"rn\\\" = \\\"lo\\\" THEN \\\"points_value\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lo\\\" THEN \\\"points_value\\\" END) * (MAX(\\\"hi\\\") - MAX(\\\"p\\\")) +\\n MAX(CASE WHEN \\\"rn\\\" = \\\"hi\\\" THEN \\\"points_value\\\" END) * (MAX(\\\"p\\\") - MAX(\\\"lo\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positioned\\\"\\nGROUP BY \\\"taster_name\\\"\\nHAVING MAX(\\\"cnt\\\") >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 13;\",\"notes\":\"SQLite-compatible emulation of the 0.95 grouped percentile using linear interpolation on CAST(\\\"points\\\" AS REAL); excludes blank/null \\\"taster_name\\\" and \\\"points\\\", applies min_group_size=5, and returns the top 13 groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14884,"cached_input_tokens":13696,"output_tokens":1773,"reasoning_output_tokens":1173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d6e554ce8193eb281a43bed8c3788d02e54f7a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"filtered\" AS (\n SELECT\n \"taster_name\",\n CAST(\"points\" AS REAL) AS \"points_value\"\n FROM \"c18\"\n WHERE \"taster_name\" IS NOT NULL\n AND TRIM(\"taster_name\") <> ''\n AND \"points\" IS NOT NULL\n AND TRIM(\"points\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"taster_name\",\n \"points_value\",\n ROW_NUMBER() OVER (PARTITION BY \"taster_name\" ORDER BY \"points_value\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"taster_name\") AS \"cnt\"\n FROM \"filtered\"\n),\n\"positioned\" AS (\n SELECT\n \"taster_name\",\n \"points_value\",\n \"rn\",\n \"cnt\",\n (1.0 + (\"cnt\" - 1) * 0.95) AS \"p\",\n CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) AS \"lo\",\n CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.95) > CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER)\n THEN CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) + 1\n ELSE CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER)\n END AS \"hi\"\n FROM \"ranked\"\n)\nSELECT\n \"taster_name\",\n CASE\n WHEN MAX(\"lo\") = MAX(\"hi\") THEN MAX(CASE WHEN \"rn\" = \"lo\" THEN \"points_value\" END)\n ELSE\n MAX(CASE WHEN \"rn\" = \"lo\" THEN \"points_value\" END) * (MAX(\"hi\") - MAX(\"p\")) +\n MAX(CASE WHEN \"rn\" = \"hi\" THEN \"points_value\" END) * (MAX(\"p\") - MAX(\"lo\"))\n END AS \"percentile_measure\"\nFROM \"positioned\"\nGROUP BY \"taster_name\"\nHAVING MAX(\"cnt\") >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 13;","notes":"SQLite-compatible emulation of the 0.95 grouped percentile using linear interpolation on CAST(\"points\" AS REAL); excludes blank/null \"taster_name\" and \"points\", applies min_group_size=5, and returns the top 13 groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_6e8e7bf601763724/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/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e50e566865c3bcb1be8225d8d79cfbb82d777a1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T16:07:09.547888+00:00", + "ended_at": "2026-05-19T16:07:16.758797+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_7170562ff82252e6", + "problem_id": "v2p_c18_a317b2ec30447416", + "dataset_id": "c18", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=taster_twitter_handle, measure_col=price.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac5659453020c927cef85603596683af94e9ec99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7170562ff82252e6/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:12.801869+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3230.66, "started_at": "2026-05-19T16:07:09.570447+00:00", "ended_at": "2026-05-19T16:07:12.801136+00:00", "prompt_metrics": {"chars": 10002, "bytes_utf8": 10006, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-b700-7d20-9d11-7ea4ddbb25ac\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:16.758667+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2954.8, "started_at": "2026-05-19T16:07:13.802706+00:00", "ended_at": "2026-05-19T16:07:16.757543+00:00", "prompt_metrics": {"chars": 10002, "bytes_utf8": 10006, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-c78b-7d82-8e93-e5fa13dc0d3e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..75179e81b4f37b1ac72ef2060aa23eef3b9c4e0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9832, "bytes_utf8": 9836, "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": 362, "bytes_utf8": 362, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14836, "cached_input_tokens": 12032, "output_tokens": 294, "reasoning_output_tokens": 185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3faf9d108dce9e63533069df45627442e4aaf723 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_7702e01f50c9a5b6", + "api_calls": 0, + "input_tokens": 14836, + "cached_input_tokens": 12032, + "output_tokens": 294, + "total_tokens": 15130, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9565.21, + "sql_execution_elapsed_ms_total": 37.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/conversation.jsonl", + "note": "Executed through a 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_7702e01f50c9a5b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d71149b7b3756a199d8d10b960fadd07557fe85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:40.637094+00:00", + "ended_at": "2026-05-19T16:02:50.202336+00:00", + "elapsed_ms": 9565.21, + "prompt_metrics": { + "chars": 9832, + "bytes_utf8": 9836, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 710, + "bytes_utf8": 710, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 362, + "bytes_utf8": 362, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14836, + "cached_input_tokens": 12032, + "output_tokens": 294, + "reasoning_output_tokens": 185 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_7702e01f50c9a5b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..739114163bc96b2e8f4abe3b535397e4f709766e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/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_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=row_id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "row_id", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da4bcbb5b4557e131efd3ee656a4f1ce9fb8764d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-9c9d-7b00-845a-7daa914cee24"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"row_id\\\" AS REAL) <= 56702.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c18\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"row_id\\\" and threshold 56702.0. CAST is used because \\\"row_id\\\" is stored as TEXT in the schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14836,"cached_input_tokens":12032,"output_tokens":294,"reasoning_output_tokens":185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bce5f0b4c8e61acd1aab54bdca420136055ef0df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"row_id\" AS REAL) <= 56702.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c18\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"row_id\" and threshold 56702.0. CAST is used because \"row_id\" is stored as TEXT in the schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7702e01f50c9a5b6/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_79a00f08ecb82a91/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ac6413ad33cf8e5ff00668381dd355fdf5bf0797 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/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": "2026-05-19T16:06:25.939434+00:00", + "ended_at": "2026-05-19T16:06:29.212684+00:00", + "elapsed_ms": 3273.21, + "returncode": 1, + "prompt_metrics": { + "chars": 9884, + "bytes_utf8": 9888, + "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_79a00f08ecb82a91/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8ec7eef78ab8157474d0b5e76bff2f5261246603 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/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": "2026-05-19T16:06:30.214698+00:00", + "ended_at": "2026-05-19T16:06:33.627281+00:00", + "elapsed_ms": 3412.55, + "returncode": 1, + "prompt_metrics": { + "chars": 9884, + "bytes_utf8": 9888, + "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_79a00f08ecb82a91/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef43d4152287ab9fb44116bcb1f815c0246abd35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/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 count_distribution. Focus on group_col=price.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "price", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_79a00f08ecb82a91/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef43d4152287ab9fb44116bcb1f815c0246abd35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/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 count_distribution. Focus on group_col=price.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "price", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_79a00f08ecb82a91/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d033c10906bd7585e9a7f87a0df5074a4664f03a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0c8f-71b1-af0b-d7222ce2fdde"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_79a00f08ecb82a91/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..52652b2c333e7d23bed876f3a68af3f27dbc5f21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0c8f-71b1-af0b-d7222ce2fdde"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_79a00f08ecb82a91/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b10b61323966144f40a9ec3c68446c7ba427913a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-1d4f-7b90-8feb-56ea4a3686d4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_79a00f08ecb82a91/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..59617fc01fd91fbf069c8c768a24cac19eee88d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_79a00f08ecb82a91/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-1d4f-7b90-8feb-56ea4a3686d4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b112ffbaf8ad3e085612712d2536cde433a2c0b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_7a076f2b79d1f3b0", + "api_calls": 0, + "input_tokens": 14966, + "cached_input_tokens": 12032, + "output_tokens": 1007, + "total_tokens": 15973, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19198.38, + "sql_execution_elapsed_ms_total": 70.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/conversation.jsonl", + "note": "Executed through a 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_7a076f2b79d1f3b0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..79ba6ff6ec62d04afddbd5ed4805626be0de5150 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:33.467224+00:00", + "ended_at": "2026-05-19T15:36:52.665639+00:00", + "elapsed_ms": 19198.38, + "prompt_metrics": { + "chars": 10300, + "bytes_utf8": 10304, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1224, + "bytes_utf8": 1224, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 811, + "bytes_utf8": 811, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14966, + "cached_input_tokens": 12032, + "output_tokens": 1007, + "reasoning_output_tokens": 781 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_7a076f2b79d1f3b0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a1be9929b6d98150c44261998496fcb3171caeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/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=region_2, measure_col=row_id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "item_col": "province", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, {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_7a076f2b79d1f3b0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..67de377d3b191797d7ced5d6987bcb6f4ac34e8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-b2cd-7b33-b99f-848b71edc009"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"region_2\\\", \\\"province\\\",\\n COUNT(\\\"row_id\\\") AS total_measure,\\n COUNT(\\\"row_id\\\") * 100.0 / SUM(COUNT(\\\"row_id\\\")) OVER (PARTITION BY \\\"region_2\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nWHERE \\\"region_2\\\" IS NOT NULL AND \\\"region_2\\\" <> ''\\n AND \\\"province\\\" IS NOT NULL AND \\\"province\\\" <> ''\\nGROUP BY \\\"region_2\\\", \\\"province\\\"\\nHAVING COUNT(\\\"row_id\\\") >= 5\\nORDER BY share_within_group DESC\\nLIMIT 12;\",\"notes\":\"Applied the within-group share template with group_col=\\\"region_2\\\" and item_col=\\\"province\\\". Used COUNT(\\\"row_id\\\") instead of SUM(\\\"row_id\\\") because \\\"row_id\\\" is an identifier-like text field in this SQLite snapshot, so counting rows is the SQLite-safe way to represent contribution within each region_2 group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14966,"cached_input_tokens":12032,"output_tokens":1007,"reasoning_output_tokens":781}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..09304a1414d30ace2a60097d72166f1734323e77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"region_2\", \"province\",\n COUNT(\"row_id\") AS total_measure,\n COUNT(\"row_id\") * 100.0 / SUM(COUNT(\"row_id\")) OVER (PARTITION BY \"region_2\") AS share_within_group\nFROM \"c18\"\nWHERE \"region_2\" IS NOT NULL AND \"region_2\" <> ''\n AND \"province\" IS NOT NULL AND \"province\" <> ''\nGROUP BY \"region_2\", \"province\"\nHAVING COUNT(\"row_id\") >= 5\nORDER BY share_within_group DESC\nLIMIT 12;","notes":"Applied the within-group share template with group_col=\"region_2\" and item_col=\"province\". Used COUNT(\"row_id\") instead of SUM(\"row_id\") because \"row_id\" is an identifier-like text field in this SQLite snapshot, so counting rows is the SQLite-safe way to represent contribution within each region_2 group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7a076f2b79d1f3b0/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_7bb9f0323989dd16/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff881adf12bf7ea84e11630ebf82b15ff82c658b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10237, "bytes_utf8": 10241, "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": 488, "bytes_utf8": 488, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14951, "cached_input_tokens": 12032, "output_tokens": 657, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6ae1a96dc0647d3d8cdfab4aaf9e72e0adac3004 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_7bb9f0323989dd16", + "api_calls": 0, + "input_tokens": 14951, + "cached_input_tokens": 12032, + "output_tokens": 657, + "total_tokens": 15608, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16222.02, + "sql_execution_elapsed_ms_total": 82.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/conversation.jsonl", + "note": "Executed through a 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_7bb9f0323989dd16/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7ff489f5031ff75bc17e71b335297acaf3164ee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:01.380805+00:00", + "ended_at": "2026-05-19T15:44:17.602860+00:00", + "elapsed_ms": 16222.02, + "prompt_metrics": { + "chars": 10237, + "bytes_utf8": 10241, + "lines": 268, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 867, + "bytes_utf8": 867, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 488, + "bytes_utf8": 488, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14951, + "cached_input_tokens": 12032, + "output_tokens": 657, + "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_7bb9f0323989dd16/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ea11bd5c3b6ae43184fb47f3ccd0fa1b7d374e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/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=region_2, group_col_2=taster_twitter_handle.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "region_2", + "group_col_2": "taster_twitter_handle", + "predicate_col": "row_id", + "predicate_op": ">=", + "predicate_value": 56702.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_7bb9f0323989dd16/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..642eb5e035b67939463c5fee5b91d37de4a56b57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-887f-7cf3-84f1-6412b81dc35a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"region_2\\\", \\\"taster_twitter_handle\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nWHERE CAST(\\\"row_id\\\" AS REAL) >= 56702.0\\nGROUP BY \\\"region_2\\\", \\\"taster_twitter_handle\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the requested grouped count template with \\\"region_2\\\" and \\\"taster_twitter_handle\\\". CAST(\\\"row_id\\\" AS REAL) is used because the schema stores \\\"row_id\\\" as TEXT while the predicate value is numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14951,"cached_input_tokens":12032,"output_tokens":657,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c110e36a3530445cbcbcd549feea3d4b33b99f45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"region_2\", \"taster_twitter_handle\", COUNT(*) AS \"row_count\"\nFROM \"c18\"\nWHERE CAST(\"row_id\" AS REAL) >= 56702.0\nGROUP BY \"region_2\", \"taster_twitter_handle\"\nORDER BY \"row_count\" DESC;","notes":"Applied the requested grouped count template with \"region_2\" and \"taster_twitter_handle\". CAST(\"row_id\" AS REAL) is used because the schema stores \"row_id\" as TEXT while the predicate value is numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7bb9f0323989dd16/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_7e85ec5dc144e81b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5dfc5f0d4e82ebe387a0f1a70fd79a1a359ab7dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10226, "bytes_utf8": 10230, "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": 418, "bytes_utf8": 418, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14943, "cached_input_tokens": 13696, "output_tokens": 440, "reasoning_output_tokens": 319}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c1d39e89885a235b1a224f0b5799ccd9dccde08b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_7e85ec5dc144e81b", + "api_calls": 0, + "input_tokens": 14943, + "cached_input_tokens": 13696, + "output_tokens": 440, + "total_tokens": 15383, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11946.18, + "sql_execution_elapsed_ms_total": 31.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/conversation.jsonl", + "note": "Executed through a 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_7e85ec5dc144e81b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..788fbc0dc74f7487ba368afa2e9e78961e7042fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:56.711923+00:00", + "ended_at": "2026-05-19T15:45:08.658135+00:00", + "elapsed_ms": 11946.18, + "prompt_metrics": { + "chars": 10226, + "bytes_utf8": 10230, + "lines": 268, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 793, + "bytes_utf8": 793, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 418, + "bytes_utf8": 418, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14943, + "cached_input_tokens": 13696, + "output_tokens": 440, + "reasoning_output_tokens": 319 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7a5868fe34ccbbcb9b84f95c4632763ab0a9c09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/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=points, group_col_2=taster_name.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "points", + "group_col_2": "taster_name", + "predicate_col": "province", + "predicate_op": "=", + "predicate_value": "Languedoc-Roussillon", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, {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_7e85ec5dc144e81b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3122a2dfb5a78568eb8dacd207cb6e0ec838540 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-609e-7033-b809-bf0a6d547860"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"points\\\", \\\"taster_name\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nWHERE \\\"province\\\" = 'Languedoc-Roussillon'\\nGROUP BY \\\"points\\\", \\\"taster_name\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with \\\"points\\\" and \\\"taster_name\\\", filtered to rows where \\\"province\\\" = 'Languedoc-Roussillon'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14943,"cached_input_tokens":13696,"output_tokens":440,"reasoning_output_tokens":319}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..553dc9e21ad1654e7823f59bd3923d9cc0abecff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"points\", \"taster_name\", COUNT(*) AS \"row_count\"\nFROM \"c18\"\nWHERE \"province\" = 'Languedoc-Roussillon'\nGROUP BY \"points\", \"taster_name\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned filtered two-dimensional group count template with \"points\" and \"taster_name\", filtered to rows where \"province\" = 'Languedoc-Roussillon'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e85ec5dc144e81b/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_7e87692962a8ca41/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf84105038aeaaf78e4dcca04ce766fffac63ec9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"region_1": "", "support": 21247, "avg_response": 25.072669082694027}, {"region_1": "Napa Valley", "support": 4480, "avg_response": 55.21049107142857}, {"region_1": "Columbia Valley (WA)", "support": 4124, "avg_response": 28.626818622696412}, {"region_1": "Russian River Valley", "support": 3091, "avg_response": 41.212229052086705}, {"region_1": "California", "support": 2629, "avg_response": 16.07797641688855}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..231ef65150b7a9e2ad7254abddacbba3f5fa2892 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c18_7e87692962a8ca41 +-- problem_id: v2p_c18_bc6b1a8cfaf3a4f7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "region_1", + COUNT(*) AS support, + AVG("price") AS avg_response +FROM "c18" +GROUP BY "region_1" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5617de8c7d6b8eaa8d512b938974381a4448f1ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c18\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c18_7e87692962a8ca41\n-- problem_id: v2p_c18_bc6b1a8cfaf3a4f7\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"region_1\",\n COUNT(*) AS support,\n AVG(\"price\") AS avg_response\nFROM \"c18\"\nGROUP BY \"region_1\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c18\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c18_7e87692962a8ca41\\n-- problem_id: v2p_c18_bc6b1a8cfaf3a4f7\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"region_1\\\",\\n COUNT(*) AS support,\\n AVG(\\\"price\\\") AS avg_response\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_1\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"region_1\", \"support\", \"avg_response\"], \"rows\": [{\"region_1\": \"\", \"support\": 21247, \"avg_response\": 25.072669082694027}, {\"region_1\": \"Napa Valley\", \"support\": 4480, \"avg_response\": 55.21049107142857}, {\"region_1\": \"Columbia Valley (WA)\", \"support\": 4124, \"avg_response\": 28.626818622696412}, {\"region_1\": \"Russian River Valley\", \"support\": 3091, \"avg_response\": 41.212229052086705}, {\"region_1\": \"California\", \"support\": 2629, \"avg_response\": 16.07797641688855}, {\"region_1\": \"Paso Robles\", \"support\": 2350, \"avg_response\": 34.026382978723404}, {\"region_1\": \"Willamette Valley\", \"support\": 2301, \"avg_response\": 34.96219035202086}, {\"region_1\": \"Mendoza\", \"support\": 2301, \"avg_response\": 22.57366362451108}, {\"region_1\": \"Alsace\", \"support\": 2163, \"avg_response\": 27.339343504392048}, {\"region_1\": \"Champagne\", \"support\": 1613, \"avg_response\": 68.13081215127093}, {\"region_1\": \"Barolo\", \"support\": 1599, \"avg_response\": 63.36085053158224}, {\"region_1\": \"Finger Lakes\", \"support\": 1565, \"avg_response\": 20.30670926517572}, {\"region_1\": \"Sonoma Coast\", \"support\": 1474, \"avg_response\": 46.34056987788331}, {\"region_1\": \"Brunello di Montalcino\", \"support\": 1470, \"avg_response\": 63.26462585034014}, {\"region_1\": \"Rioja\", \"support\": 1469, \"avg_response\": 30.761061946902654}, {\"region_1\": \"Sonoma County\", \"support\": 1246, \"avg_response\": 30.474317817014445}, {\"region_1\": \"Toscana\", \"support\": 1197, \"avg_response\": 49.52715121136174}, {\"region_1\": \"Walla Walla Valley (WA)\", \"support\": 1066, \"avg_response\": 44.73076923076923}, {\"region_1\": \"Chianti Classico\", \"support\": 1062, \"avg_response\": 27.82297551789077}, {\"region_1\": \"Santa Barbara County\", \"support\": 1000, \"avg_response\": 30.736}, {\"region_1\": \"Carneros\", \"support\": 999, \"avg_response\": 38.75975975975976}, {\"region_1\": \"Yakima Valley\", \"support\": 997, \"avg_response\": 29.510531594784354}, {\"region_1\": \"Sta. Rita Hills\", \"support\": 975, \"avg_response\": 46.54153846153846}, {\"region_1\": \"Dry Creek Valley\", \"support\": 939, \"avg_response\": 30.5814696485623}, {\"region_1\": \"Sicilia\", \"support\": 925, \"avg_response\": 19.78054054054054}, {\"region_1\": \"Côtes de Provence\", \"support\": 859, \"avg_response\": 19.490104772991852}, {\"region_1\": \"Santa Ynez Valley\", \"support\": 812, \"avg_response\": 33.02709359605911}, {\"region_1\": \"Santa Lucia Highlands\", \"support\": 806, \"avg_response\": 42.10421836228288}, {\"region_1\": \"Lodi\", \"support\": 803, \"avg_response\": 19.378580323785805}, {\"region_1\": \"Barbaresco\", \"support\": 794, \"avg_response\": 45.841309823677584}, {\"region_1\": \"Alexander Valley\", \"support\": 784, \"avg_response\": 38.79081632653061}, {\"region_1\": \"Central Coast\", \"support\": 749, \"avg_response\": 22.5260347129506}, {\"region_1\": \"Ribera del Duero\", \"support\": 724, \"avg_response\": 46.80386740331492}, {\"region_1\": \"Red Mountain\", \"support\": 723, \"avg_response\": 45.200553250345784}, {\"region_1\": \"Santa Maria Valley\", \"support\": 704, \"avg_response\": 41.05397727272727}, {\"region_1\": \"Alto Adige\", \"support\": 694, \"avg_response\": 27.471181556195965}, {\"region_1\": \"Sonoma Valley\", \"support\": 661, \"avg_response\": 40.872919818456886}, {\"region_1\": \"Anderson Valley\", \"support\": 646, \"avg_response\": 43.22291021671827}, {\"region_1\": \"North Fork of Long Island\", \"support\": 599, \"avg_response\": 29.39398998330551}, {\"region_1\": \"Saint-Émilion\", \"support\": 561, \"avg_response\": 39.327985739750446}, {\"region_1\": \"Chablis\", \"support\": 559, \"avg_response\": 36.95348837209303}, {\"region_1\": \"Horse Heaven Hills\", \"support\": 559, \"avg_response\": 31.468694096601073}, {\"region_1\": \"Virginia\", \"support\": 556, \"avg_response\": 27.426258992805757}, {\"region_1\": \"Dundee Hills\", \"support\": 554, \"avg_response\": 53.03971119133574}, {\"region_1\": \"Sancerre\", \"support\": 554, \"avg_response\": 28.90974729241877}, {\"region_1\": \"Santa Cruz Mountains\", \"support\": 548, \"avg_response\": 43.27189781021898}, {\"region_1\": \"Bordeaux\", \"support\": 518, \"avg_response\": 13.768339768339768}, {\"region_1\": \"Cava\", \"support\": 497, \"avg_response\": 19.515090543259557}, {\"region_1\": \"Cahors\", \"support\": 493, \"avg_response\": 29.91075050709939}, {\"region_1\": \"Bordeaux Blanc\", \"support\": 491, \"avg_response\": 13.372708757637474}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 96.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7226b672ca832f17b62b5e96dd99d11012c3361a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T16:08:27.124557+00:00", + "ended_at": "2026-05-19T16:08:27.222502+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_7e87692962a8ca41", + "problem_id": "v2p_c18_bc6b1a8cfaf3a4f7", + "dataset_id": "c18", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=price, key_col=region_1.", + "bindings": { + "key_col": "region_1", + "measure_col": "price", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_7e87692962a8ca41.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7e87692962a8ca41/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..28f07dc7f2593acfcfd00edd7de60442485109c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9893, "bytes_utf8": 9897, "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": 420, "bytes_utf8": 420, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14845, "cached_input_tokens": 12032, "output_tokens": 576, "reasoning_output_tokens": 460}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15f95a20a740855a094a3ba64e824761f89e8171 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_7ea083c9262cb312", + "api_calls": 0, + "input_tokens": 14845, + "cached_input_tokens": 12032, + "output_tokens": 576, + "total_tokens": 15421, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12357.49, + "sql_execution_elapsed_ms_total": 86.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/conversation.jsonl", + "note": "Executed through a 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_7ea083c9262cb312/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..49e776439f05c114d4ff2be50a49c8bc993f7abc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:30.342910+00:00", + "ended_at": "2026-05-19T15:28:42.700436+00:00", + "elapsed_ms": 12357.49, + "prompt_metrics": { + "chars": 9893, + "bytes_utf8": 9897, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 786, + "bytes_utf8": 786, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 420, + "bytes_utf8": 420, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14845, + "cached_input_tokens": 12032, + "output_tokens": 576, + "reasoning_output_tokens": 460 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..448d3ae9058852de69973c5bd9dbd1fc6231e049 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=points, measure_col=row_id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cccf427d928b90d73e1f36fa862f8e2212fb7b0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-5384-7f51-8363-52748324dabe"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"points\\\", SUM(CAST(NULLIF(\\\"row_id\\\", '') AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"points\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Instantiated the grouped numeric sum template with group_col=\\\"points\\\" and measure_col=\\\"row_id\\\". Because \\\"row_id\\\" is stored as TEXT in SQLite, it is cast to NUMERIC and empty strings are ignored via NULLIF.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14845,"cached_input_tokens":12032,"output_tokens":576,"reasoning_output_tokens":460}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2506837f2db05f5684bd9a2b89a686b8b7653186 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"points\", SUM(CAST(NULLIF(\"row_id\", '') AS NUMERIC)) AS \"total_measure\"\nFROM \"c18\"\nGROUP BY \"points\"\nORDER BY \"total_measure\" DESC;","notes":"Instantiated the grouped numeric sum template with group_col=\"points\" and measure_col=\"row_id\". Because \"row_id\" is stored as TEXT in SQLite, it is cast to NUMERIC and empty strings are ignored via NULLIF."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_7ea083c9262cb312/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_811ac0047e74ba75/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0bbb75222759518ec6df9f4fa58254e04a5f4ab8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9889, "bytes_utf8": 9893, "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": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14843, "cached_input_tokens": 12032, "output_tokens": 511, "reasoning_output_tokens": 397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e8ba747e85d09792cebdda04734a13db027caf82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_811ac0047e74ba75", + "api_calls": 0, + "input_tokens": 14843, + "cached_input_tokens": 12032, + "output_tokens": 511, + "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": 11600.81, + "sql_execution_elapsed_ms_total": 83.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/conversation.jsonl", + "note": "Executed through a 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_811ac0047e74ba75/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f60b6ef3e4753d1abdab89572a60720331aa7769 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:24.612448+00:00", + "ended_at": "2026-05-19T15:31:36.213315+00:00", + "elapsed_ms": 11600.81, + "prompt_metrics": { + "chars": 9889, + "bytes_utf8": 9893, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 782, + "bytes_utf8": 782, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 414, + "bytes_utf8": 414, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14843, + "cached_input_tokens": 12032, + "output_tokens": 511, + "reasoning_output_tokens": 397 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f20ab74e2d68a3310614e233bd76f1ae84a9be2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=points, measure_col=price.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "points", + "measure_col": "price", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..58de2559d54220de15a785ae76cc6b1f389a9daa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-fc75-7731-a18d-ff91030a412c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"points\\\",\\n SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"points\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided grouped-sum template with group_col=\\\"points\\\" and measure_col=\\\"price\\\". CAST/NULLIF is applied because \\\"price\\\" is stored as TEXT and may contain empty strings in this SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14843,"cached_input_tokens":12032,"output_tokens":511,"reasoning_output_tokens":397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a44e09311a6f8ddc40495bccb1ad5eee55bb64b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"points\",\n SUM(CAST(NULLIF(\"price\", '') AS REAL)) AS \"total_measure\"\nFROM \"c18\"\nGROUP BY \"points\"\nORDER BY \"total_measure\" DESC;","notes":"Used the provided grouped-sum template with group_col=\"points\" and measure_col=\"price\". CAST/NULLIF is applied because \"price\" is stored as TEXT and may contain empty strings in this SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_811ac0047e74ba75/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_8198d9d345337e61/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..188e9a536c041a697a420756a49229243975aa6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9889, "bytes_utf8": 9893, "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": 429, "bytes_utf8": 429, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14845, "cached_input_tokens": 12032, "output_tokens": 820, "reasoning_output_tokens": 703}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..49edd2f154e76b91955dd1e772ce301435eb06d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_8198d9d345337e61", + "api_calls": 0, + "input_tokens": 14845, + "cached_input_tokens": 12032, + "output_tokens": 820, + "total_tokens": 15665, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 42125.85, + "sql_execution_elapsed_ms_total": 117.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/conversation.jsonl", + "note": "Executed through a 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_8198d9d345337e61/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ac3b10836c9f7e3d246aea4359be3c6222e9e9bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:36.323506+00:00", + "ended_at": "2026-05-19T15:32:18.449395+00:00", + "elapsed_ms": 42125.85, + "prompt_metrics": { + "chars": 9889, + "bytes_utf8": 9893, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1554, + "bytes_utf8": 1554, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 429, + "bytes_utf8": 429, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14845, + "cached_input_tokens": 12032, + "output_tokens": 820, + "reasoning_output_tokens": 703 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_8198d9d345337e61/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2111fb3c5c61c98bc93d2221885ea9aa23f0ae24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=price, measure_col=row_id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "price", + "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": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..89f3440b6e0625cb823ec28e2602ef3cd6c7d3fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40dd-2a25-71b0-b5f1-6bbe021b5670"} +{"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 1999593, Requested 15480. Please try again in 452ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (timeout waiting for child process to exit)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15480. Please try again in 464ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"price\\\", SUM(CAST(\\\"row_id\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"price\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"price\\\" and measure_col=\\\"row_id\\\". CAST(\\\"row_id\\\" AS NUMERIC) is applied because the schema stores it as TEXT, while the task binds it as an identifier-numeric measure.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14845,"cached_input_tokens":12032,"output_tokens":820,"reasoning_output_tokens":703}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46786816db7f92b0deab1e0886b99335eb4c85ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"price\", SUM(CAST(\"row_id\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c18\"\nGROUP BY \"price\"\nORDER BY \"total_measure\" DESC;","notes":"Used the provided grouped numeric sum template with group_col=\"price\" and measure_col=\"row_id\". CAST(\"row_id\" AS NUMERIC) is applied because the schema stores it as TEXT, while the task binds it as an identifier-numeric measure."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8198d9d345337e61/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_8244e4cc643ea726/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6492fd2ecabe399b5a2b69c2a65afc80b25eb658 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9891, "bytes_utf8": 9895, "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": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14845, "cached_input_tokens": 13696, "output_tokens": 603, "reasoning_output_tokens": 496}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a1f1539f7ccdac082cbe60ff63e097dd2bd50262 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_8244e4cc643ea726", + "api_calls": 0, + "input_tokens": 14845, + "cached_input_tokens": 13696, + "output_tokens": 603, + "total_tokens": 15448, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17120.46, + "sql_execution_elapsed_ms_total": 97.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/conversation.jsonl", + "note": "Executed through a 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_8244e4cc643ea726/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4257371722d2e769e5ac63ccaf78f39a03b7ee58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:18.595920+00:00", + "ended_at": "2026-05-19T15:32:35.716420+00:00", + "elapsed_ms": 17120.46, + "prompt_metrics": { + "chars": 9891, + "bytes_utf8": 9895, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 738, + "bytes_utf8": 738, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 372, + "bytes_utf8": 372, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14845, + "cached_input_tokens": 13696, + "output_tokens": 603, + "reasoning_output_tokens": 496 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_8244e4cc643ea726/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6dfd554bf3cda7c239305ee3cd0b90c90d207a5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=price, measure_col=row_id.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "price", + "measure_col": "row_id", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..df63297ea9a1634d452216078c780553ad82078d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-cf36-7d30-9248-8b690f6f1784"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"price\\\", SUM(CAST(NULLIF(\\\"row_id\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"price\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"price\\\" and measure_col=\\\"row_id\\\". Used CAST(NULLIF(...)) because \\\"row_id\\\" is stored as TEXT in the schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14845,"cached_input_tokens":13696,"output_tokens":603,"reasoning_output_tokens":496}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c1863b1376c1e3d583960cbea19912984d1eb6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"price\", SUM(CAST(NULLIF(\"row_id\", '') AS REAL)) AS \"total_measure\"\nFROM \"c18\"\nGROUP BY \"price\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the Grouped Numeric Sum template with group_col=\"price\" and measure_col=\"row_id\". Used CAST(NULLIF(...)) because \"row_id\" is stored as TEXT in the schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8244e4cc643ea726/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_843e70ef201b2df5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9eed73c13ad15043f3c681c74b910c6179686c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10223, "bytes_utf8": 10227, "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": 409, "bytes_utf8": 409, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14943, "cached_input_tokens": 13696, "output_tokens": 501, "reasoning_output_tokens": 383}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..85e275677e336a0a1583451cf913eb6910cc4cdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_843e70ef201b2df5", + "api_calls": 0, + "input_tokens": 14943, + "cached_input_tokens": 13696, + "output_tokens": 501, + "total_tokens": 15444, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13972.46, + "sql_execution_elapsed_ms_total": 45.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/conversation.jsonl", + "note": "Executed through a 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_843e70ef201b2df5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d9ceeb8d9f1dbc12a79deb0ccaea6950dab9bf47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/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": "2026-05-19T15:45:29.158683+00:00", + "ended_at": "2026-05-19T15:45:43.131170+00:00", + "elapsed_ms": 13972.46, + "prompt_metrics": { + "chars": 10223, + "bytes_utf8": 10227, + "lines": 268, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 776, + "bytes_utf8": 776, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 409, + "bytes_utf8": 409, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14943, + "cached_input_tokens": 13696, + "output_tokens": 501, + "reasoning_output_tokens": 383 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_843e70ef201b2df5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2863937ca48926db5d77efa254500e36b7ada312 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/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=taster_name.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "price", + "group_col_2": "taster_name", + "predicate_col": "taster_twitter_handle", + "predicate_op": "=", + "predicate_value": "@vboone", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, {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_843e70ef201b2df5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..96b59f700d67ee583888272360e4d88c52be2643 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-df6e-7763-8907-4d1b075f5d9a"} +{"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\\\", \\\"taster_name\\\", COUNT(*) AS row_count\\nFROM \\\"c18\\\"\\nWHERE \\\"taster_twitter_handle\\\" = '@vboone'\\nGROUP BY \\\"price\\\", \\\"taster_name\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided filtered two-dimensional group count template with \\\"price\\\" and \\\"taster_name\\\", filtered to rows where \\\"taster_twitter_handle\\\" = '@vboone'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14943,"cached_input_tokens":13696,"output_tokens":501,"reasoning_output_tokens":383}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7cfcc422df7fc634facb1bfbea2ef464a32190f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d.\nSELECT \"price\", \"taster_name\", COUNT(*) AS row_count\nFROM \"c18\"\nWHERE \"taster_twitter_handle\" = '@vboone'\nGROUP BY \"price\", \"taster_name\"\nORDER BY row_count DESC;","notes":"Uses the provided filtered two-dimensional group count template with \"price\" and \"taster_name\", filtered to rows where \"taster_twitter_handle\" = '@vboone'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_843e70ef201b2df5/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_8660e0c4418ab198/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..106f656e99ec5b770e1901e22bf786744580b829 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_8660e0c4418ab198", + "api_calls": 0, + "input_tokens": 14905, + "cached_input_tokens": 12032, + "output_tokens": 438, + "total_tokens": 15343, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9928.23, + "sql_execution_elapsed_ms_total": 78.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/conversation.jsonl", + "note": "Executed through a 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_8660e0c4418ab198/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ab57b9869e42fd64a83b6526d85137569a85573 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/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 dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=points, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "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": "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_8660e0c4418ab198/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fa9960da43b0505b00a6d20791be2c61e78bff7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-7e3f-7070-907b-775cccfbe6f6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","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_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8660e0c4418ab198/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_88d40fcde64913cb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..28787dcc39a354855ed1f0ba1f2085bb8913b354 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10202, "bytes_utf8": 10206, "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": 485, "bytes_utf8": 485, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14942, "cached_input_tokens": 13696, "output_tokens": 506, "reasoning_output_tokens": 369}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c31fe3bab39f1f3dae7e626f1e5bd25d2f3fe9a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_88d40fcde64913cb", + "api_calls": 0, + "input_tokens": 14942, + "cached_input_tokens": 13696, + "output_tokens": 506, + "total_tokens": 15448, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11091.55, + "sql_execution_elapsed_ms_total": 89.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/conversation.jsonl", + "note": "Executed through a 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_88d40fcde64913cb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1e1d7117be410572d3d60e142da3607f7a4fb7bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:45.504640+00:00", + "ended_at": "2026-05-19T15:44:56.596224+00:00", + "elapsed_ms": 11091.55, + "prompt_metrics": { + "chars": 10202, + "bytes_utf8": 10206, + "lines": 268, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 856, + "bytes_utf8": 856, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 485, + "bytes_utf8": 485, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14942, + "cached_input_tokens": 13696, + "output_tokens": 506, + "reasoning_output_tokens": 369 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_88d40fcde64913cb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac2a5d24844b18f1f348d9988b27e4a8fb9ae791 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/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=points, group_col_2=region_2.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "points", + "group_col_2": "region_2", + "predicate_col": "price", + "predicate_op": ">=", + "predicate_value": 25.0, + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_88d40fcde64913cb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb019b3c1ce857f2a80276ab035eba1520ff7681 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-34ae-77a2-8161-2bdaf8c2d515"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"points\\\", \\\"region_2\\\", COUNT(*) AS row_count\\nFROM \\\"c18\\\"\\nWHERE \\\"price\\\" <> '' AND CAST(\\\"price\\\" AS REAL) >= 25.0\\nGROUP BY \\\"points\\\", \\\"region_2\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with \\\"points\\\" and \\\"region_2\\\". \\\"price\\\" is stored as TEXT in this schema, so it is cast to REAL and blank values are excluded before applying the >= 25.0 filter.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14942,"cached_input_tokens":13696,"output_tokens":506,"reasoning_output_tokens":369}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54f60d83e348aed4140ecf40526f84be2790b032 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"points\", \"region_2\", COUNT(*) AS row_count\nFROM \"c18\"\nWHERE \"price\" <> '' AND CAST(\"price\" AS REAL) >= 25.0\nGROUP BY \"points\", \"region_2\"\nORDER BY row_count DESC;","notes":"Uses the planned filtered two-dimensional group count template with \"points\" and \"region_2\". \"price\" is stored as TEXT in this schema, so it is cast to REAL and blank values are excluded before applying the >= 25.0 filter."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88d40fcde64913cb/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_88f633a9def8b4b2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f28be6c2e0dd088d57b8fb4d6341044e450c9b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10077, "bytes_utf8": 10081, "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": 1887, "bytes_utf8": 1887, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14887, "cached_input_tokens": 12032, "output_tokens": 2718, "reasoning_output_tokens": 2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..be853e09e53c415a37f3b10c826a271776919639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_88f633a9def8b4b2", + "api_calls": 0, + "input_tokens": 14887, + "cached_input_tokens": 12032, + "output_tokens": 2718, + "total_tokens": 17605, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 38783.81, + "sql_execution_elapsed_ms_total": 508.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/conversation.jsonl", + "note": "Executed through a 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_88f633a9def8b4b2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..21690106e705c9bd16c58f9b51b3d183381d2869 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:53.528102+00:00", + "ended_at": "2026-05-19T15:55:32.311952+00:00", + "elapsed_ms": 38783.81, + "prompt_metrics": { + "chars": 10077, + "bytes_utf8": 10081, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2503, + "bytes_utf8": 2503, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1887, + "bytes_utf8": 1887, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14887, + "cached_input_tokens": 12032, + "output_tokens": 2718, + "reasoning_output_tokens": 2070 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8424e353095756d2d2c2739f148a2faf3ef77785 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/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=region_2, measure_col=row_id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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},\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_88f633a9def8b4b2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..358318bb287bbf912253aa890014d38c1c10dcf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-7bd8-7ff1-b4e4-e6e818c1291f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"region_2\\\",\\n CAST(\\\"row_id\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"region_2\\\"\\n ORDER BY CAST(\\\"row_id\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"region_2\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"row_id\\\" IS NOT NULL\\n AND TRIM(\\\"row_id\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"region_2\\\",\\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 \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"region_2\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"region_2\\\" IS p.\\\"region_2\\\"\\n GROUP BY\\n p.\\\"region_2\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"region_2\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates grouped PERCENTILE_CONT(0.95) with window functions and linear interpolation. \\\"row_id\\\" is stored as TEXT in the schema, so it is cast to REAL before computing the percentile for each \\\"region_2\\\" group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14887,"cached_input_tokens":12032,"output_tokens":2718,"reasoning_output_tokens":2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dda4777e59cbf74df42050b8728a4dcba32ec14d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"region_2\",\n CAST(\"row_id\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"region_2\"\n ORDER BY CAST(\"row_id\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"region_2\"\n ) AS \"cnt\"\n FROM \"c18\"\n WHERE \"row_id\" IS NOT NULL\n AND TRIM(\"row_id\") <> ''\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"region_2\",\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 \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"region_2\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_value\" END) AS \"lower_val\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure_value\" END) AS \"upper_val\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS o\n ON o.\"region_2\" IS p.\"region_2\"\n GROUP BY\n p.\"region_2\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"region_2\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates grouped PERCENTILE_CONT(0.95) with window functions and linear interpolation. \"row_id\" is stored as TEXT in the schema, so it is cast to REAL before computing the percentile for each \"region_2\" group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_88f633a9def8b4b2/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_8a9fc223da79c8f6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a3aebc90ce75ec9f7c61ad785f221256725ba814 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10715, "bytes_utf8": 10719, "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": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15055, "cached_input_tokens": 12032, "output_tokens": 705, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5adc73ac6b18758cec67820f300a36b847e344d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_8a9fc223da79c8f6", + "api_calls": 0, + "input_tokens": 15055, + "cached_input_tokens": 12032, + "output_tokens": 705, + "total_tokens": 15760, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13069.2, + "sql_execution_elapsed_ms_total": 104.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/conversation.jsonl", + "note": "Executed through a 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_8a9fc223da79c8f6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..33948a54ab0e46f1d4477539ac29d9c78e14038c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/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": "2026-05-19T15:42:09.116046+00:00", + "ended_at": "2026-05-19T15:42:22.185281+00:00", + "elapsed_ms": 13069.2, + "prompt_metrics": { + "chars": 10715, + "bytes_utf8": 10719, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1054, + "bytes_utf8": 1054, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15055, + "cached_input_tokens": 12032, + "output_tokens": 705, + "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_8a9fc223da79c8f6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6887abb09b6a1225de8ee3e971b81be331b355d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/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=taster_name, condition_col=country.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "taster_name", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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": "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_8a9fc223da79c8f6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8fb20490dff7041b7667b7bba1440d952533d86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-d1f3-7be0-a1a4-005aaf478d44"} +{"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 \\\"taster_name\\\",\\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 \\\"taster_name\\\"\\n)\\nSELECT\\n \\\"taster_name\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Computes, for each taster_name, the ratio of US reviews to Portugal reviews using the provided grouped ratio template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15055,"cached_input_tokens":12032,"output_tokens":705,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7656bc9d52909128c60f801bc784a69705eafb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT\n \"taster_name\",\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 \"taster_name\"\n)\nSELECT\n \"taster_name\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;","notes":"Computes, for each taster_name, the ratio of US reviews to Portugal reviews using the provided grouped ratio template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_8a9fc223da79c8f6/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_90c6a56cfcc7b5be/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d361ff9138804d21e9b0bc8b424d87cfc1c99ec1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10455, "bytes_utf8": 10459, "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": 652, "bytes_utf8": 652, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14984, "cached_input_tokens": 13696, "output_tokens": 505, "reasoning_output_tokens": 334}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..85fe9170909191c74176d18bb2966e3382a1abae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_90c6a56cfcc7b5be", + "api_calls": 0, + "input_tokens": 14984, + "cached_input_tokens": 13696, + "output_tokens": 505, + "total_tokens": 15489, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11759.88, + "sql_execution_elapsed_ms_total": 85.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/conversation.jsonl", + "note": "Executed through a 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_90c6a56cfcc7b5be/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2e4089908ba5743e5b995a373614a92df51a298d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:38.934076+00:00", + "ended_at": "2026-05-19T15:50:50.693986+00:00", + "elapsed_ms": 11759.88, + "prompt_metrics": { + "chars": 10455, + "bytes_utf8": 10459, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1023, + "bytes_utf8": 1023, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 652, + "bytes_utf8": 652, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14984, + "cached_input_tokens": 13696, + "output_tokens": 505, + "reasoning_output_tokens": 334 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_90c6a56cfcc7b5be/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1ee371ef64491c282b7d8fc4a212be97b53295f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/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 count_distribution. Focus on group_col=taster_name, measure_col=row_id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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": "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_90c6a56cfcc7b5be/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..708a6dfdc41d72d436bd4f9ea4a11875d5cdd9e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-9982-7062-87fb-f9a9c37de892"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"taster_name\\\", COUNT(\\\"row_id\\\") AS group_value\\n FROM \\\"c18\\\"\\n GROUP BY \\\"taster_name\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"taster_name\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template structure, but interpreted measure_col=\\\"row_id\\\" as a row-count distribution via COUNT(\\\"row_id\\\") because \\\"row_id\\\" is a TEXT identifier and summing it would not be meaningful in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14984,"cached_input_tokens":13696,"output_tokens":505,"reasoning_output_tokens":334}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f3e935a9741a14a7b2aca8f75ddd8c17cf99869 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"taster_name\", COUNT(\"row_id\") AS group_value\n FROM \"c18\"\n GROUP BY \"taster_name\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"taster_name\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the requested template structure, but interpreted measure_col=\"row_id\" as a row-count distribution via COUNT(\"row_id\") because \"row_id\" is a TEXT identifier and summing it would not be meaningful in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_90c6a56cfcc7b5be/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_91a476b8bff55345/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f41173a9c0fc6f3e1bc26a889071bd0b6a542db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10334, "bytes_utf8": 10338, "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": 1081, "bytes_utf8": 1081, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14970, "cached_input_tokens": 13696, "output_tokens": 1923, "reasoning_output_tokens": 1619}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bd762d42af7a0bb2c710b8f932b4c017ef06d7ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_91a476b8bff55345", + "api_calls": 0, + "input_tokens": 14970, + "cached_input_tokens": 13696, + "output_tokens": 1923, + "total_tokens": 16893, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 34330.47, + "sql_execution_elapsed_ms_total": 324.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/conversation.jsonl", + "note": "Executed through a 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_91a476b8bff55345/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6b1c2d799af552688974d410b6c7a1e71d7a5b9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/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": "2026-05-19T15:34:18.005446+00:00", + "ended_at": "2026-05-19T15:34:52.335955+00:00", + "elapsed_ms": 34330.47, + "prompt_metrics": { + "chars": 10334, + "bytes_utf8": 10338, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1551, + "bytes_utf8": 1551, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1081, + "bytes_utf8": 1081, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14970, + "cached_input_tokens": 13696, + "output_tokens": 1923, + "reasoning_output_tokens": 1619 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_91a476b8bff55345/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..91a89f761125ba0b08e5b4e9522aa93f14c76efb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/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_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": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, {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_91a476b8bff55345/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b72735777fefd1fc0fdac9f6b24731fed8d1ca5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-a1cd-7130-a7a4-62ab921e7512"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"taster_twitter_handle\\\",\\n \\\"designation\\\",\\n \\\"row_id\\\",\\n COUNT(\\\"row_id\\\") OVER (PARTITION BY \\\"taster_twitter_handle\\\") AS \\\"group_size\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"taster_twitter_handle\\\" IS NOT NULL\\n AND \\\"taster_twitter_handle\\\" <> ''\\n AND \\\"designation\\\" IS NOT NULL\\n AND \\\"designation\\\" <> ''\\n)\\nSELECT\\n \\\"taster_twitter_handle\\\",\\n \\\"designation\\\",\\n COUNT(\\\"row_id\\\") AS \\\"total_measure\\\",\\n COUNT(\\\"row_id\\\") * 100.0 / SUM(COUNT(\\\"row_id\\\")) OVER (PARTITION BY \\\"taster_twitter_handle\\\") AS \\\"share_within_group\\\"\\nFROM \\\"base\\\"\\nWHERE \\\"group_size\\\" >= 5\\nGROUP BY \\\"taster_twitter_handle\\\", \\\"designation\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"taster_twitter_handle\\\" and item_col=\\\"designation\\\". Because \\\"row_id\\\" is an identifier stored as TEXT, the query uses COUNT(\\\"row_id\\\") as the measure proxy for within-group proportion rather than SUM(\\\"row_id\\\").\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14970,"cached_input_tokens":13696,"output_tokens":1923,"reasoning_output_tokens":1619}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..544c93334cc5ee8819c77914536a3477e9351ea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nWITH \"base\" AS (\n SELECT\n \"taster_twitter_handle\",\n \"designation\",\n \"row_id\",\n COUNT(\"row_id\") OVER (PARTITION BY \"taster_twitter_handle\") AS \"group_size\"\n FROM \"c18\"\n WHERE \"taster_twitter_handle\" IS NOT NULL\n AND \"taster_twitter_handle\" <> ''\n AND \"designation\" IS NOT NULL\n AND \"designation\" <> ''\n)\nSELECT\n \"taster_twitter_handle\",\n \"designation\",\n COUNT(\"row_id\") AS \"total_measure\",\n COUNT(\"row_id\") * 100.0 / SUM(COUNT(\"row_id\")) OVER (PARTITION BY \"taster_twitter_handle\") AS \"share_within_group\"\nFROM \"base\"\nWHERE \"group_size\" >= 5\nGROUP BY \"taster_twitter_handle\", \"designation\"\nORDER BY \"share_within_group\" DESC\nLIMIT 14;","notes":"Applied the Within-Group Share of Total template with group_col=\"taster_twitter_handle\" and item_col=\"designation\". Because \"row_id\" is an identifier stored as TEXT, the query uses COUNT(\"row_id\") as the measure proxy for within-group proportion rather than SUM(\"row_id\")."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_91a476b8bff55345/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_938c64068a0e0154/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..493c66fe2b34c60d898e4bb8c57c01c7d9134f84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/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": "2026-05-19T16:07:02.375894+00:00", + "ended_at": "2026-05-19T16:07:05.363208+00:00", + "elapsed_ms": 2987.29, + "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_938c64068a0e0154/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..785febff1fbcd547c142edd5757018dea06ad118 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/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": "2026-05-19T16:07:06.365416+00:00", + "ended_at": "2026-05-19T16:07:09.546693+00:00", + "elapsed_ms": 3181.24, + "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_938c64068a0e0154/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9de8670f1455689816d26f8509f2b1d16f4c7fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/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_twitter_handle, measure_col=price.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "price", + "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": 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 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_938c64068a0e0154/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9de8670f1455689816d26f8509f2b1d16f4c7fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/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_twitter_handle, measure_col=price.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "price", + "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": 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 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_938c64068a0e0154/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f497771231949a7ecdfedcf69ae475523e1e0a84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-9adc-7320-841b-456c00c94f9f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_938c64068a0e0154/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2de6a1185018cd6279413af06d164f46451721b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-9adc-7320-841b-456c00c94f9f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_938c64068a0e0154/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31b34734f87a13daaa771c193cda1d9e1c2c1ce6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-aa83-7fc0-902f-03f005e72079"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_938c64068a0e0154/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e7c957a37e29c1865c91e5be3d6c7f2bcaa7337 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-aa83-7fc0-902f-03f005e72079"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_938c64068a0e0154/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/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_938c64068a0e0154/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_938c64068a0e0154/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_94a064ca4b9c9738/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..16f8505104db8b3f4714948f0b0a442b3a9c43b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=row_id. +Result preview: [{"row_id": "129970"}, {"row_id": "129969"}, {"row_id": "129968"}, {"row_id": "129967"}, {"row_id": "129966"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b2faabaf37b2facdc12d9e79a38984d69ef953b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_c18_94a064ca4b9c9738 +-- problem_id: v2p_c18_2bf808ec4773ff95 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "row_id", + NTILE(10) OVER (ORDER BY CAST("row_id" AS INTEGER) DESC) AS "tail_bucket" + FROM "c18" + WHERE "row_id" IS NOT NULL AND "row_id" <> '' +) +SELECT "row_id" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("row_id" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88fc455068c849ec847df38bfc7388d2e2439761 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"row_id\"], \"rows\": [{\"row_id\": \"129970\"}, {\"row_id\": \"129969\"}, {\"row_id\": \"129968\"}, {\"row_id\": \"129967\"}, {\"row_id\": \"129966\"}, {\"row_id\": \"129965\"}, {\"row_id\": \"129964\"}, {\"row_id\": \"129963\"}, {\"row_id\": \"129962\"}, {\"row_id\": \"129961\"}, {\"row_id\": \"129960\"}, {\"row_id\": \"129959\"}, {\"row_id\": \"129958\"}, {\"row_id\": \"129957\"}, {\"row_id\": \"129956\"}, {\"row_id\": \"129955\"}, {\"row_id\": \"129954\"}, {\"row_id\": \"129953\"}, {\"row_id\": \"129952\"}, {\"row_id\": \"129951\"}, {\"row_id\": \"129950\"}, {\"row_id\": \"129949\"}, {\"row_id\": \"129948\"}, {\"row_id\": \"129947\"}, {\"row_id\": \"129946\"}, {\"row_id\": \"129945\"}, {\"row_id\": \"129944\"}, {\"row_id\": \"129943\"}, {\"row_id\": \"129942\"}, {\"row_id\": \"129941\"}, {\"row_id\": \"129940\"}, {\"row_id\": \"129939\"}, {\"row_id\": \"129938\"}, {\"row_id\": \"129937\"}, {\"row_id\": \"129936\"}, {\"row_id\": \"129935\"}, {\"row_id\": \"129934\"}, {\"row_id\": \"129933\"}, {\"row_id\": \"129932\"}, {\"row_id\": \"129931\"}, {\"row_id\": \"129930\"}, {\"row_id\": \"129929\"}, {\"row_id\": \"129928\"}, {\"row_id\": \"129927\"}, {\"row_id\": \"129926\"}, {\"row_id\": \"129925\"}, {\"row_id\": \"129924\"}, {\"row_id\": \"129923\"}, {\"row_id\": \"129922\"}, {\"row_id\": \"129921\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 221.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2da9456601e870c9c5f3501b834895c50d1878bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:47:10.903707+00:00", + "ended_at": "2026-05-19T15:47:31.930762+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_94a064ca4b9c9738", + "problem_id": "v2p_c18_2bf808ec4773ff95", + "dataset_id": "c18", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=row_id.", + "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 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=66" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_94a064ca4b9c9738.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64943cf8836cb95065582c47c53bfe735d2a00e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:31.706042+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20763.26, "started_at": "2026-05-19T15:47:10.940894+00:00", "ended_at": "2026-05-19T15:47:31.704206+00:00", "prompt_metrics": {"chars": 10066, "bytes_utf8": 10070, "lines": 262, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0a24d705c233354d867293e8cd0d2266fd12b4b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_94a064ca4b9c9738/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_9694142d233092f6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7c3079b4130d383841edae8f4a584957253b166f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/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": "2026-05-19T16:07:47.206060+00:00", + "ended_at": "2026-05-19T16:07:50.070220+00:00", + "elapsed_ms": 2864.13, + "returncode": 1, + "prompt_metrics": { + "chars": 9972, + "bytes_utf8": 9976, + "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_9694142d233092f6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9b4bb36b7e489cb32bf230b45db0574e82b9f6dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/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": "2026-05-19T16:07:51.071837+00:00", + "ended_at": "2026-05-19T16:07:54.196845+00:00", + "elapsed_ms": 3124.98, + "returncode": 1, + "prompt_metrics": { + "chars": 9972, + "bytes_utf8": 9976, + "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_9694142d233092f6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..518bd55c9075d5d95ff5853d9e6bef43d0683531 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/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=price, measure_col=points.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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": "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_9694142d233092f6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..518bd55c9075d5d95ff5853d9e6bef43d0683531 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/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=price, measure_col=points.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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": "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_9694142d233092f6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b5d52ff776ee9e66a5189efae9baa1753d05b9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-4a02-7e40-9d24-2da2beb86307"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_9694142d233092f6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8214a287e6ea17aa2170c9dd97c8ff963b417b61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-4a02-7e40-9d24-2da2beb86307"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_9694142d233092f6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..67f20ce8e14ff9b9ec21a8fd6b69c483db20e223 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-592c-7d73-98b7-cabcd4f714c7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_9694142d233092f6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..908f61a51992757ce3f710e9ad3e6a70decab856 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-592c-7d73-98b7-cabcd4f714c7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_9694142d233092f6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/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_9694142d233092f6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9694142d233092f6/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_98b9e31aad67a5d9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7cd7d52ec38a3f3c0a42c0184284bcf101b9bea6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9918, "bytes_utf8": 9922, "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": 566, "bytes_utf8": 566, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14850, "cached_input_tokens": 12032, "output_tokens": 888, "reasoning_output_tokens": 738}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..744038d0bb3190338bb42d95d0c42ae0942e7d19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_98b9e31aad67a5d9", + "api_calls": 0, + "input_tokens": 14850, + "cached_input_tokens": 12032, + "output_tokens": 888, + "total_tokens": 15738, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22019.45, + "sql_execution_elapsed_ms_total": 86.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/conversation.jsonl", + "note": "Executed through a 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_98b9e31aad67a5d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e4dcf0c2a3c6ea4c4e077f063ed53fdf8fafc933 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:26.448710+00:00", + "ended_at": "2026-05-19T15:30:48.468195+00:00", + "elapsed_ms": 22019.45, + "prompt_metrics": { + "chars": 9918, + "bytes_utf8": 9922, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 935, + "bytes_utf8": 935, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 566, + "bytes_utf8": 566, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14850, + "cached_input_tokens": 12032, + "output_tokens": 888, + "reasoning_output_tokens": 738 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_98b9e31aad67a5d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2016ace9a6902af79cd369a780e7dad69a99a3f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=taster_twitter_handle, measure_col=points.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "points", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..04c7c9c6025ce6f132bb71243193c05d2b9dc638 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-191a-75b0-a443-f6fcb2e26eda"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"taster_twitter_handle\\\", SUM(CAST(NULLIF(\\\"points\\\", '') AS NUMERIC)) AS total_measure\\nFROM \\\"c18\\\"\\nWHERE \\\"taster_twitter_handle\\\" IS NOT NULL\\n AND \\\"taster_twitter_handle\\\" <> ''\\nGROUP BY \\\"taster_twitter_handle\\\"\\nORDER BY total_measure DESC\\nLIMIT 14;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"taster_twitter_handle\\\" and measure_col=\\\"points\\\". \\\"points\\\" is cast from TEXT to NUMERIC, and blank/null Twitter handles are excluded so the aggregation reflects identifiable tasters.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14850,"cached_input_tokens":12032,"output_tokens":888,"reasoning_output_tokens":738}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..744f454f8b3427ccd01a6d621808b55908208bbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"taster_twitter_handle\", SUM(CAST(NULLIF(\"points\", '') AS NUMERIC)) AS total_measure\nFROM \"c18\"\nWHERE \"taster_twitter_handle\" IS NOT NULL\n AND \"taster_twitter_handle\" <> ''\nGROUP BY \"taster_twitter_handle\"\nORDER BY total_measure DESC\nLIMIT 14;","notes":"Uses the planned grouped-sum template with group_col=\"taster_twitter_handle\" and measure_col=\"points\". \"points\" is cast from TEXT to NUMERIC, and blank/null Twitter handles are excluded so the aggregation reflects identifiable tasters."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_98b9e31aad67a5d9/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_99bdd2d250676e16/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..22ab3808fd87d349d413695749741d1be0e84d0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10299, "bytes_utf8": 10303, "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": 933, "bytes_utf8": 933, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14961, "cached_input_tokens": 13696, "output_tokens": 1324, "reasoning_output_tokens": 1065}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2ea670d258bb5ff7b75c744b18974ff9ca6a75ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_99bdd2d250676e16", + "api_calls": 0, + "input_tokens": 14961, + "cached_input_tokens": 13696, + "output_tokens": 1324, + "total_tokens": 16285, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23300.75, + "sql_execution_elapsed_ms_total": 101.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/conversation.jsonl", + "note": "Executed through a 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_99bdd2d250676e16/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..34bc2cec44dcbedb16ddfa69f6e54efc7080c993 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:22.881116+00:00", + "ended_at": "2026-05-19T15:35:46.181893+00:00", + "elapsed_ms": 23300.75, + "prompt_metrics": { + "chars": 10299, + "bytes_utf8": 10303, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1370, + "bytes_utf8": 1370, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 933, + "bytes_utf8": 933, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14961, + "cached_input_tokens": 13696, + "output_tokens": 1324, + "reasoning_output_tokens": 1065 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_99bdd2d250676e16/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bd32eb5ad56f677bb59f92187ea6df063ee410d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/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=points, measure_col=points.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "points", + "measure_col": "points", + "item_col": "points", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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}, {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_99bdd2d250676e16/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8fbdd396d2b5f5657ec15fa08706b301f1212421 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-9f04-79d0-ab37-026b4404140e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"points\\\" AS \\\"group_col\\\",\\n \\\"points\\\" AS \\\"item_col\\\",\\n SUM(CAST(\\\"points\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"points\\\" IS NOT NULL AND TRIM(\\\"points\\\") <> ''\\n GROUP BY \\\"points\\\", \\\"points\\\"\\n)\\nSELECT\\n \\\"group_col\\\",\\n \\\"item_col\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"group_col\\\") AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 15;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=item_col=measure_col=\\\"points\\\". CAST to REAL is used because \\\"points\\\" is stored as TEXT in the snapshot, and blank values are filtered out. Since item and group are the same column, each group contains one item, so share_within_group will evaluate to 100 for each returned row.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14961,"cached_input_tokens":13696,"output_tokens":1324,"reasoning_output_tokens":1065}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c1359d049e3c0c43db9443cd19e36def0d27924 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nWITH \"grouped\" AS (\n SELECT\n \"points\" AS \"group_col\",\n \"points\" AS \"item_col\",\n SUM(CAST(\"points\" AS REAL)) AS \"total_measure\"\n FROM \"c18\"\n WHERE \"points\" IS NOT NULL AND TRIM(\"points\") <> ''\n GROUP BY \"points\", \"points\"\n)\nSELECT\n \"group_col\",\n \"item_col\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"group_col\") AS \"share_within_group\"\nFROM \"grouped\"\nORDER BY \"share_within_group\" DESC\nLIMIT 15;","notes":"Applied the provided Within-Group Share of Total template with group_col=item_col=measure_col=\"points\". CAST to REAL is used because \"points\" is stored as TEXT in the snapshot, and blank values are filtered out. Since item and group are the same column, each group contains one item, so share_within_group will evaluate to 100 for each returned row."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_99bdd2d250676e16/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c0e2672ff3a74658ed85cc17d5216c2029d0efd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=points, condition_col=country. +Result preview: [{"points": "80", "condition_ratio": 52.333333333333336}, {"points": "81", "condition_ratio": 29.636363636363637}, {"points": "82", "condition_ratio": 25.897435897435898}, {"points": "94", "condition_ratio": 13.388059701492537}, {"points": "92", "condition_ratio": 11.488549618320612}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3c651b0b5ec755cae0cfef9bc3b93a394c0fd7df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_c18_9b005b53d4ddf35d +-- problem_id: v2p_c18_3201e2ccdae9d145 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "points", + SUM(CASE WHEN "country" = 'US' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "country" = 'Portugal' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "c18" + GROUP BY "points" +) +SELECT "points", + CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio" +FROM "grouped" +ORDER BY "condition_ratio" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd85e17900bf75b6539a3c3eb54b0f67530eb22a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"points\", \"condition_ratio\"], \"rows\": [{\"points\": \"80\", \"condition_ratio\": 52.333333333333336}, {\"points\": \"81\", \"condition_ratio\": 29.636363636363637}, {\"points\": \"82\", \"condition_ratio\": 25.897435897435898}, {\"points\": \"94\", \"condition_ratio\": 13.388059701492537}, {\"points\": \"92\", \"condition_ratio\": 11.488549618320612}, {\"points\": \"89\", \"condition_ratio\": 11.26530612244898}, {\"points\": \"91\", \"condition_ratio\": 11.233050847457626}, {\"points\": \"96\", \"condition_ratio\": 11.05}, {\"points\": \"98\", \"condition_ratio\": 11.0}, {\"points\": \"83\", \"condition_ratio\": 10.851239669421487}, {\"points\": \"93\", \"condition_ratio\": 10.838129496402878}, {\"points\": \"90\", \"condition_ratio\": 10.630744849445325}, {\"points\": \"95\", \"condition_ratio\": 9.582089552238806}, {\"points\": \"87\", \"condition_ratio\": 9.556195965417867}, {\"points\": \"88\", \"condition_ratio\": 8.809762202753442}, {\"points\": \"86\", \"condition_ratio\": 7.769716088328075}, {\"points\": \"84\", \"condition_ratio\": 7.212938005390836}, {\"points\": \"97\", \"condition_ratio\": 6.75}, {\"points\": \"85\", \"condition_ratio\": 6.00978792822186}, {\"points\": \"99\", \"condition_ratio\": 6.0}, {\"points\": \"100\", \"condition_ratio\": 2.0}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 91.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..00d5b0594a35436a95a9e78b5e0e6e734470eb9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:42:48.118104+00:00", + "ended_at": "2026-05-19T15:43:04.357301+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_9b005b53d4ddf35d", + "problem_id": "v2p_c18_3201e2ccdae9d145", + "dataset_id": "c18", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=points, condition_col=country.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=40" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_9b005b53d4ddf35d.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec3e8ea35aabc526643a4e5ec24ffcea10b6db20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:04.263125+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16123.31, "started_at": "2026-05-19T15:42:48.138491+00:00", "ended_at": "2026-05-19T15:43:04.261845+00:00", "prompt_metrics": {"chars": 10705, "bytes_utf8": 10709, "lines": 267, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6b71029bba7bedd13bef7631d839477f0131b5c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9b005b53d4ddf35d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_9ea394f7bf3b6ac1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ee055b770c9aad4308f75652ad81a7a8fb5e6b31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"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": 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": 10063, "bytes_utf8": 10067, "lines": 264, "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": 635, "bytes_utf8": 635, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14881, "cached_input_tokens": 12032, "output_tokens": 679, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f64c41e5799c22261137554373601e1a910258e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_9ea394f7bf3b6ac1", + "api_calls": 0, + "input_tokens": 14881, + "cached_input_tokens": 12032, + "output_tokens": 679, + "total_tokens": 15560, + "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": 21686.2, + "sql_execution_elapsed_ms_total": 88.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/conversation.jsonl", + "note": "Executed through a 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_9ea394f7bf3b6ac1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5a92644045beea9245d7dbce2fcb5e5c2f86aacc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:21.530768+00:00", + "ended_at": "2026-05-19T15:53:24.835767+00:00", + "elapsed_ms": 3304.97, + "returncode": 1, + "prompt_metrics": { + "chars": 10063, + "bytes_utf8": 10067, + "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_9ea394f7bf3b6ac1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c61dfa5dd4fe82a4448afd570a9a1c2057e973f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:25.837976+00:00", + "ended_at": "2026-05-19T15:53:44.219273+00:00", + "elapsed_ms": 18381.23, + "prompt_metrics": { + "chars": 10063, + "bytes_utf8": 10067, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 990, + "bytes_utf8": 990, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 635, + "bytes_utf8": 635, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14881, + "cached_input_tokens": 12032, + "output_tokens": 679, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e61aee748c6532f25cfb717a312d37780014c1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/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=price, measure_col=price.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "price", + "measure_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": 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},\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_9ea394f7bf3b6ac1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e61aee748c6532f25cfb717a312d37780014c1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/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 focused_target_view. Focus on group_col=price, measure_col=price.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "price", + "measure_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": 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},\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_9ea394f7bf3b6ac1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..50fd5d423ccc831f1ddeaa9106214e5b4b278fbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-1497-7d40-a240-86b6640e36a9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_9ea394f7bf3b6ac1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9c7a89065a47f8842992831416beee0db28d944 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-1497-7d40-a240-86b6640e36a9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_9ea394f7bf3b6ac1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2eeb35b45dd6a5c3410216c3a967a8a5859b78d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-2555-7922-8f83-23981bff6b8c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"price\\\",\\n CAST(NULLIF(\\\"price\\\", '') AS REAL) AS percentile_measure\\nFROM \\\"c18\\\"\\nWHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\nGROUP BY \\\"price\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY percentile_measure DESC\\nLIMIT 11;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both bound roles are the same column (group_col=price and measure_col=price), the 95th percentile within each price group is that group's own numeric price value. Empty-string prices are excluded, values are cast to REAL, and a minimum group size of 5 plus top_k=11 are applied from the bindings.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14881,"cached_input_tokens":12032,"output_tokens":679,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a005c724fb39f253782da930652bd81be3abcce8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"price\",\n CAST(NULLIF(\"price\", '') AS REAL) AS percentile_measure\nFROM \"c18\"\nWHERE NULLIF(\"price\", '') IS NOT NULL\nGROUP BY \"price\"\nHAVING COUNT(*) >= 5\nORDER BY percentile_measure DESC\nLIMIT 11;","notes":"SQLite does not support PERCENTILE_CONT. Because both bound roles are the same column (group_col=price and measure_col=price), the 95th percentile within each price group is that group's own numeric price value. Empty-string prices are excluded, values are cast to REAL, and a minimum group size of 5 plus top_k=11 are applied from the bindings."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/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_9ea394f7bf3b6ac1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_9ea394f7bf3b6ac1/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_a14bacd33ceb1a52/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a14bacd33ceb1a52/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cfe6803ac4c23d59e22de2a95795d4dbf9117494 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a14bacd33ceb1a52/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10289, "bytes_utf8": 10293, "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": 748, "bytes_utf8": 748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14961, "cached_input_tokens": 13696, "output_tokens": 1217, "reasoning_output_tokens": 1000}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a14bacd33ceb1a52/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a14bacd33ceb1a52/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..535f047de54f08b010a6002f0135b3fa0267705c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a14bacd33ceb1a52/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:06.654714+00:00", + "ended_at": "2026-05-19T15:40:33.707204+00:00", + "elapsed_ms": 27052.46, + "prompt_metrics": { + "chars": 10289, + "bytes_utf8": 10293, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1499, + "bytes_utf8": 1499, + "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": 748, + "bytes_utf8": 748, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14961, + "cached_input_tokens": 13696, + "output_tokens": 1217, + "reasoning_output_tokens": 1000 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_a1cb95aadd19a35b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64aff114c4e41292c4005f5aae6b1168967dd377 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9831, "bytes_utf8": 9835, "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": 9831, "bytes_utf8": 9835, "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": 338, "bytes_utf8": 338, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14836, "cached_input_tokens": 13696, "output_tokens": 280, "reasoning_output_tokens": 179}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c0d7655a8a2730de71ad10159cf24db31c051e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_a1cb95aadd19a35b", + "api_calls": 0, + "input_tokens": 14836, + "cached_input_tokens": 13696, + "output_tokens": 280, + "total_tokens": 15116, + "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": 11147.36, + "sql_execution_elapsed_ms_total": 32.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/conversation.jsonl", + "note": "Executed through a 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_a1cb95aadd19a35b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1f0ae9601d3b0f138c30ef737f0f79c79fea1d89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:16.806169+00:00", + "ended_at": "2026-05-19T16:03:20.191400+00:00", + "elapsed_ms": 3385.2, + "returncode": 1, + "prompt_metrics": { + "chars": 9831, + "bytes_utf8": 9835, + "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_a1cb95aadd19a35b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..38cca64528ad5d7fad4f07d07bcb741f80b8546e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:21.193097+00:00", + "ended_at": "2026-05-19T16:03:28.955287+00:00", + "elapsed_ms": 7762.16, + "prompt_metrics": { + "chars": 9831, + "bytes_utf8": 9835, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 686, + "bytes_utf8": 686, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 338, + "bytes_utf8": 338, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14836, + "cached_input_tokens": 13696, + "output_tokens": 280, + "reasoning_output_tokens": 179 + } + }, + "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_a1cb95aadd19a35b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..75e3e9ed18097ec28eb9ff57a3f5ef6d2eb574c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/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_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=row_id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "row_id", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..75e3e9ed18097ec28eb9ff57a3f5ef6d2eb574c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/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_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=row_id.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "row_id", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..750cfed3e5889d6dd1739c1e66d239c9a8c33516 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-29c4-70c1-a455-649a864bb384"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_a1cb95aadd19a35b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7b8e886d0e1e120449b8ede79d8b26057935a93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-29c4-70c1-a455-649a864bb384"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_a1cb95aadd19a35b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..04e4f17e8166176461221bcdd0eab97fe4ea0f7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-3af0-7260-a080-ae1b5059c7de"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"row_id\\\" AS REAL) <= 56702.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c18\\\";\",\"notes\":\"Used the requested Threshold Rarity CDF template with measure_col bound to \\\"row_id\\\" and cast it to REAL because the schema stores \\\"row_id\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14836,"cached_input_tokens":13696,"output_tokens":280,"reasoning_output_tokens":179}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae4f5078a0af9ed58c5a449a0a5825f22973dd75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"row_id\" AS REAL) <= 56702.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c18\";","notes":"Used the requested Threshold Rarity CDF template with measure_col bound to \"row_id\" and cast it to REAL because the schema stores \"row_id\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/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_a1cb95aadd19a35b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a1cb95aadd19a35b/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_a27871bec05f6c74/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1a39fe1f8979710aba163f27b9bdccee1d6347f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"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": 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": 10070, "bytes_utf8": 10074, "lines": 264, "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": 618, "bytes_utf8": 618, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14881, "cached_input_tokens": 13696, "output_tokens": 667, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..51ddafa47437d6f17b71ea4724095f76389254e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_a27871bec05f6c74", + "api_calls": 0, + "input_tokens": 14881, + "cached_input_tokens": 13696, + "output_tokens": 667, + "total_tokens": 15548, + "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": 17037.77, + "sql_execution_elapsed_ms_total": 86.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/conversation.jsonl", + "note": "Executed through a 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_a27871bec05f6c74/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bed3fbaef9c4d376745f01cce49824074a9766aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:03.378360+00:00", + "ended_at": "2026-05-19T15:53:06.426219+00:00", + "elapsed_ms": 3047.83, + "returncode": 1, + "prompt_metrics": { + "chars": 10070, + "bytes_utf8": 10074, + "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_a27871bec05f6c74/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2dce3708388c445e062893e7540928352229769d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:07.428485+00:00", + "ended_at": "2026-05-19T15:53:21.418475+00:00", + "elapsed_ms": 13989.94, + "prompt_metrics": { + "chars": 10070, + "bytes_utf8": 10074, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 984, + "bytes_utf8": 984, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 618, + "bytes_utf8": 618, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14881, + "cached_input_tokens": 13696, + "output_tokens": 667, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9be37e322fbed753343fe31c5a45b66a037b978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/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=points.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "points", + "measure_col": "points", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_a27871bec05f6c74/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9be37e322fbed753343fe31c5a45b66a037b978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/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 focused_target_view. Focus on group_col=points, measure_col=points.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "points", + "measure_col": "points", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_a27871bec05f6c74/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a379a0651aa05f5bee17376b10d493044ed24a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-cd9f-72c3-b0b1-93f2f0e9eeac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_a27871bec05f6c74/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b03e1989643121169881f3b8a0b44b966d0066b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-cd9f-72c3-b0b1-93f2f0e9eeac"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_a27871bec05f6c74/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f752ff6f5cfea383b9dc2a3af628aecfb041d7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-dd6c-7192-8a46-f3d2837d3317"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"points\\\",\\n MAX(CAST(\\\"points\\\" AS REAL)) AS percentile_measure\\nFROM \\\"c18\\\"\\nWHERE \\\"points\\\" IS NOT NULL\\n AND \\\"points\\\" <> ''\\nGROUP BY \\\"points\\\"\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because the bound group column and measure column are both \\\"points\\\", every row within a group has the same measure value, so the 95th percentile within each group is exactly that group's numeric points value. This uses MAX(CAST(\\\"points\\\" AS REAL)) as a SQLite-compatible equivalent and filters empty values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14881,"cached_input_tokens":13696,"output_tokens":667,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc7e0e1f687289bac9ee28803c8675df4312fb8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"points\",\n MAX(CAST(\"points\" AS REAL)) AS percentile_measure\nFROM \"c18\"\nWHERE \"points\" IS NOT NULL\n AND \"points\" <> ''\nGROUP BY \"points\"\nORDER BY percentile_measure DESC;","notes":"SQLite does not support PERCENTILE_CONT. Because the bound group column and measure column are both \"points\", every row within a group has the same measure value, so the 95th percentile within each group is exactly that group's numeric points value. This uses MAX(CAST(\"points\" AS REAL)) as a SQLite-compatible equivalent and filters empty values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/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_a27871bec05f6c74/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a27871bec05f6c74/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_a495e41db1e765c6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b032ecc2b60648f144ff7cef0f49831a6200a10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10156, "bytes_utf8": 10160, "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": 374, "bytes_utf8": 374, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14910, "cached_input_tokens": 12032, "output_tokens": 605, "reasoning_output_tokens": 495}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..04ea20c6e19ebad03fa89d04d54354ebd1c2d171 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_a495e41db1e765c6", + "api_calls": 0, + "input_tokens": 14910, + "cached_input_tokens": 12032, + "output_tokens": 605, + "total_tokens": 15515, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11793.86, + "sql_execution_elapsed_ms_total": 97.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/conversation.jsonl", + "note": "Executed through a 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_a495e41db1e765c6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0cd0fc640b6fbd67a490e8cf93fb98cf2929ba65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:18.043854+00:00", + "ended_at": "2026-05-19T16:02:29.837756+00:00", + "elapsed_ms": 11793.86, + "prompt_metrics": { + "chars": 10156, + "bytes_utf8": 10160, + "lines": 267, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 730, + "bytes_utf8": 730, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 374, + "bytes_utf8": 374, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14910, + "cached_input_tokens": 12032, + "output_tokens": 605, + "reasoning_output_tokens": 495 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_a495e41db1e765c6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bdc27f96f803b8d7bff7a265593815cc6cbee1c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/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 dependency_strength_similarity with semantic role within_group_proportion. 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": 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 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_a495e41db1e765c6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f3cac10df6bec7549b23cfab6dcbbc6866ba519 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-443b-7da2-9017-498f2baf4abb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"region_2\\\",\\n AVG(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Computes the within-group proportion of rows with country = 'US' for each region_2 group, following the Grouped Condition Rate template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14910,"cached_input_tokens":12032,"output_tokens":605,"reasoning_output_tokens":495}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3d9ac28584c4b6c4c53ea8e0a11eb098c179ec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT\n \"region_2\",\n AVG(CASE WHEN \"country\" = 'US' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c18\"\nGROUP BY \"region_2\"\nORDER BY \"condition_rate\" DESC;","notes":"Computes the within-group proportion of rows with country = 'US' for each region_2 group, following the Grouped Condition Rate template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a495e41db1e765c6/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_a54fdfeb2b03ef81/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be6c1c8276e3662d87016243417300a493164133 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10306, "bytes_utf8": 10310, "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": 1395, "bytes_utf8": 1395, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14965, "cached_input_tokens": 12032, "output_tokens": 1857, "reasoning_output_tokens": 1416}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e59c1c499ef6f4e9ccbca353821e458e896fd99b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_a54fdfeb2b03ef81", + "api_calls": 0, + "input_tokens": 14965, + "cached_input_tokens": 12032, + "output_tokens": 1857, + "total_tokens": 16822, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 34175.05, + "sql_execution_elapsed_ms_total": 234.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/conversation.jsonl", + "note": "Executed through a 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_a54fdfeb2b03ef81/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fe6544ac5180ca5afceade3ca11a5980b8c98527 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:43.705026+00:00", + "ended_at": "2026-05-19T15:38:17.880111+00:00", + "elapsed_ms": 34175.05, + "prompt_metrics": { + "chars": 10306, + "bytes_utf8": 10310, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1931, + "bytes_utf8": 1931, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1395, + "bytes_utf8": 1395, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14965, + "cached_input_tokens": 12032, + "output_tokens": 1857, + "reasoning_output_tokens": 1416 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_a54fdfeb2b03ef81/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3721be0078a8545baff68ec63cf8f40cabd4b8b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/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_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": 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}, {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_a54fdfeb2b03ef81/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d80c9965447c7ea132c5bd5c5602fbc9954ffba3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-c54b-7d31-9209-c907947c786d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"taster_name\\\",\\n \\\"region_1\\\",\\n CAST(\\\"points\\\" AS REAL) AS \\\"points\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"taster_name\\\" IS NOT NULL\\n AND TRIM(\\\"taster_name\\\") <> ''\\n AND \\\"region_1\\\" IS NOT NULL\\n AND TRIM(\\\"region_1\\\") <> ''\\n AND \\\"points\\\" IS NOT NULL\\n AND TRIM(\\\"points\\\") <> ''\\n),\\n\\\"group_sizes\\\" AS (\\n SELECT\\n \\\"taster_name\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"taster_name\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"agg\\\" AS (\\n SELECT\\n b.\\\"taster_name\\\" AS \\\"taster_name\\\",\\n b.\\\"region_1\\\" AS \\\"region_1\\\",\\n SUM(b.\\\"points\\\") AS \\\"total_measure\\\",\\n COUNT(*) AS \\\"support\\\"\\n FROM \\\"base\\\" AS b\\n INNER JOIN \\\"group_sizes\\\" AS g\\n ON b.\\\"taster_name\\\" = g.\\\"taster_name\\\"\\n GROUP BY b.\\\"taster_name\\\", b.\\\"region_1\\\"\\n HAVING COUNT(*) >= 4\\n)\\nSELECT\\n \\\"taster_name\\\",\\n \\\"region_1\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"taster_name\\\") AS \\\"share_within_group\\\"\\nFROM \\\"agg\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 18;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"taster_name\\\", item_col=\\\"region_1\\\", and measure_col=CAST(\\\"points\\\" AS REAL). Filters blank/null values, applies min_group_size=5 and min_support=4, and returns the top 18 rows by share_within_group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14965,"cached_input_tokens":12032,"output_tokens":1857,"reasoning_output_tokens":1416}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5aad6ce37ebbb04368a3443034862d8f67684bfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nWITH \"base\" AS (\n SELECT\n \"taster_name\",\n \"region_1\",\n CAST(\"points\" AS REAL) AS \"points\"\n FROM \"c18\"\n WHERE \"taster_name\" IS NOT NULL\n AND TRIM(\"taster_name\") <> ''\n AND \"region_1\" IS NOT NULL\n AND TRIM(\"region_1\") <> ''\n AND \"points\" IS NOT NULL\n AND TRIM(\"points\") <> ''\n),\n\"group_sizes\" AS (\n SELECT\n \"taster_name\"\n FROM \"base\"\n GROUP BY \"taster_name\"\n HAVING COUNT(*) >= 5\n),\n\"agg\" AS (\n SELECT\n b.\"taster_name\" AS \"taster_name\",\n b.\"region_1\" AS \"region_1\",\n SUM(b.\"points\") AS \"total_measure\",\n COUNT(*) AS \"support\"\n FROM \"base\" AS b\n INNER JOIN \"group_sizes\" AS g\n ON b.\"taster_name\" = g.\"taster_name\"\n GROUP BY b.\"taster_name\", b.\"region_1\"\n HAVING COUNT(*) >= 4\n)\nSELECT\n \"taster_name\",\n \"region_1\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"taster_name\") AS \"share_within_group\"\nFROM \"agg\"\nORDER BY \"share_within_group\" DESC\nLIMIT 18;","notes":"Uses the planned within-group share template with group_col=\"taster_name\", item_col=\"region_1\", and measure_col=CAST(\"points\" AS REAL). Filters blank/null values, applies min_group_size=5 and min_support=4, and returns the top 18 rows by share_within_group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a54fdfeb2b03ef81/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_a659f63a850930c7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..817536b654976ebc3c054546c0018521e3ef76bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/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": "2026-05-19T16:07:54.221031+00:00", + "ended_at": "2026-05-19T16:07:57.451947+00:00", + "elapsed_ms": 3230.89, + "returncode": 1, + "prompt_metrics": { + "chars": 9971, + "bytes_utf8": 9975, + "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_a659f63a850930c7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5489f4bbdb6d3489bf176f863fc69ffce4e8ef65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/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": "2026-05-19T16:07:58.453745+00:00", + "ended_at": "2026-05-19T16:08:01.724176+00:00", + "elapsed_ms": 3270.39, + "returncode": 1, + "prompt_metrics": { + "chars": 9971, + "bytes_utf8": 9975, + "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_a659f63a850930c7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf4cb713a769465228e679e134e1d3bf2fafbc33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=region_2, measure_col=price.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "region_2", + "measure_col": "price", + "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 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_a659f63a850930c7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf4cb713a769465228e679e134e1d3bf2fafbc33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=region_2, measure_col=price.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "region_2", + "measure_col": "price", + "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 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_a659f63a850930c7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..660a964072fdd4ab03161854d9531a920e3b45d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-655f-7ea2-9519-a1a7279ff925"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_a659f63a850930c7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1dd11bdbd2f1ae5e246ecc9492678bfb05f84e9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-655f-7ea2-9519-a1a7279ff925"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_a659f63a850930c7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..79db31df76c9792592211c551d7ce7c84d3ca621 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-75fa-71e2-bd58-780ecc25e485"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_a659f63a850930c7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aeecd434ed576cf84a723f7a8b674f6b05a44f9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-75fa-71e2-bd58-780ecc25e485"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_a659f63a850930c7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/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_a659f63a850930c7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a659f63a850930c7/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_a6f2d0f030107e32/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..22b7f6c42343ed3be8768e2fddf8f604f14eeb0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10473, "bytes_utf8": 10477, "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": 883, "bytes_utf8": 883, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14988, "cached_input_tokens": 13696, "output_tokens": 600, "reasoning_output_tokens": 368}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eefc58b231ce76e7a454977a3ba248f6a433243e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_a6f2d0f030107e32", + "api_calls": 0, + "input_tokens": 14988, + "cached_input_tokens": 13696, + "output_tokens": 600, + "total_tokens": 15588, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12614.27, + "sql_execution_elapsed_ms_total": 84.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/conversation.jsonl", + "note": "Executed through a 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_a6f2d0f030107e32/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1001c47fdfa685e65881fc0282ae14b16ea7342e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:07.472816+00:00", + "ended_at": "2026-05-19T15:51:20.087115+00:00", + "elapsed_ms": 12614.27, + "prompt_metrics": { + "chars": 10473, + "bytes_utf8": 10477, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1274, + "bytes_utf8": 1274, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 883, + "bytes_utf8": 883, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14988, + "cached_input_tokens": 13696, + "output_tokens": 600, + "reasoning_output_tokens": 368 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_a6f2d0f030107e32/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..52a5934c8aba44f9bbd453b5b2cb79a00985af71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/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=taster_twitter_handle, measure_col=points.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "points", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, 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_a6f2d0f030107e32/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..24da91709326418338d879020ea568dc0a38b6b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-08ee-7a22-8a0f-2b0b3f41db37"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"taster_twitter_handle\\\",\\n SUM(CAST(\\\"points\\\" AS REAL)) AS group_value\\n FROM \\\"c18\\\"\\n WHERE \\\"taster_twitter_handle\\\" IS NOT NULL\\n AND \\\"taster_twitter_handle\\\" <> ''\\n AND \\\"points\\\" IS NOT NULL\\n AND \\\"points\\\" <> ''\\n GROUP BY \\\"taster_twitter_handle\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"taster_twitter_handle\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested relative-to-total threshold template with group_col=\\\"taster_twitter_handle\\\" and measure_col=\\\"points\\\"; casts TEXT points to REAL and filters null/empty group and measure values for a stable aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14988,"cached_input_tokens":13696,"output_tokens":600,"reasoning_output_tokens":368}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d7b7310c1340ba341d9f3d0ef7efdbe450e22fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"taster_twitter_handle\",\n SUM(CAST(\"points\" AS REAL)) AS group_value\n FROM \"c18\"\n WHERE \"taster_twitter_handle\" IS NOT NULL\n AND \"taster_twitter_handle\" <> ''\n AND \"points\" IS NOT NULL\n AND \"points\" <> ''\n GROUP BY \"taster_twitter_handle\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"taster_twitter_handle\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the requested relative-to-total threshold template with group_col=\"taster_twitter_handle\" and measure_col=\"points\"; casts TEXT points to REAL and filters null/empty group and measure values for a stable aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a6f2d0f030107e32/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_a7bdb48ade305745/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..213476e6aed1931b891a503c3392110a7acd39d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/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": "2026-05-19T16:08:01.750145+00:00", + "ended_at": "2026-05-19T16:08:04.565568+00:00", + "elapsed_ms": 2815.39, + "returncode": 1, + "prompt_metrics": { + "chars": 9977, + "bytes_utf8": 9981, + "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_a7bdb48ade305745/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..022b2b03d6e15651583b125951d69bcc725f32e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/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": "2026-05-19T16:08:05.567200+00:00", + "ended_at": "2026-05-19T16:08:08.414215+00:00", + "elapsed_ms": 2846.98, + "returncode": 1, + "prompt_metrics": { + "chars": 9977, + "bytes_utf8": 9981, + "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_a7bdb48ade305745/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..344f92aa0ab633207edf6785c75abf9cce9d30f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=region_2, measure_col=price.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "region_2", + "measure_col": "price", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_a7bdb48ade305745/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..344f92aa0ab633207edf6785c75abf9cce9d30f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=region_2, measure_col=price.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "region_2", + "measure_col": "price", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_a7bdb48ade305745/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d13ff5b85fbbb4aabb042529e0c9986191764e99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-82dd-7a63-90f6-ac01a25c998b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_a7bdb48ade305745/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c58f99c219b39978e784286bcff81d1a1a80284b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-82dd-7a63-90f6-ac01a25c998b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_a7bdb48ade305745/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8c694502c0122b30093a81bd82e42dcbb12db9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-91cf-72e0-bcfc-65c3c665bc03"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_a7bdb48ade305745/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e86fd69ff09e1c00c00e5f5f4effa1f400e48c2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-91cf-72e0-bcfc-65c3c665bc03"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_a7bdb48ade305745/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/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_a7bdb48ade305745/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_a7bdb48ade305745/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_ac77b1bc0797b93b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b3d9b3746099b2a53924553c9a40a74f7d701c68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9809, "bytes_utf8": 9813, "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": 274, "bytes_utf8": 274, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14823, "cached_input_tokens": 12032, "output_tokens": 381, "reasoning_output_tokens": 299}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1e84687f35e52597c24f42d9ac6ad5f7307bc6e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_ac77b1bc0797b93b", + "api_calls": 0, + "input_tokens": 14823, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 15204, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14630.81, + "sql_execution_elapsed_ms_total": 82.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/conversation.jsonl", + "note": "Executed through a 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_ac77b1bc0797b93b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b69d83b8ad2237f8cb8cd7c9e7ef02cffed068cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/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": "2026-05-19T15:32:35.839850+00:00", + "ended_at": "2026-05-19T15:32:50.470696+00:00", + "elapsed_ms": 14630.81, + "prompt_metrics": { + "chars": 9809, + "bytes_utf8": 9813, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 965, + "bytes_utf8": 965, + "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": 274, + "bytes_utf8": 274, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14823, + "cached_input_tokens": 12032, + "output_tokens": 381, + "reasoning_output_tokens": 299 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_ac77b1bc0797b93b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92aad6e81481ef4746617316c579caa77df2b31d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/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": 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": 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}, 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_ac77b1bc0797b93b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf92f9b5ae59ade4d2b539cb2aeeb130c0248778 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40de-1275-7e61-845a-1a2f7c861c74"} +{"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 15458. 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 \\\"region_2\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped count template with \\\"region_2\\\" as the bound category column on table \\\"c18\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14823,"cached_input_tokens":12032,"output_tokens":381,"reasoning_output_tokens":299}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee3f9c1017c0af934ee2320e82aa681381e36d0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/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":"Uses the grouped count template with \"region_2\" as the bound category column on table \"c18\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ac77b1bc0797b93b/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_b1efbbc6d85392a1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a681cd105fd9c88490a8e01324a8f27966834331 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/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": 495, "bytes_utf8": 495, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14900, "cached_input_tokens": 12032, "output_tokens": 515, "reasoning_output_tokens": 375}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a71f2a6bc04353c7023ef217dc79e0d9b783bf9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_b1efbbc6d85392a1", + "api_calls": 0, + "input_tokens": 14900, + "cached_input_tokens": 12032, + "output_tokens": 515, + "total_tokens": 15415, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11095.07, + "sql_execution_elapsed_ms_total": 178.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/conversation.jsonl", + "note": "Executed through a 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_b1efbbc6d85392a1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..feaa716cf5d8dfe0ac3813b9f6381fe2715f1f4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/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": "2026-05-19T15:45:43.200317+00:00", + "ended_at": "2026-05-19T15:45:54.295414+00:00", + "elapsed_ms": 11095.07, + "prompt_metrics": { + "chars": 10066, + "bytes_utf8": 10070, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 862, + "bytes_utf8": 862, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 495, + "bytes_utf8": 495, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14900, + "cached_input_tokens": 12032, + "output_tokens": 515, + "reasoning_output_tokens": 375 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_b1efbbc6d85392a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0484c5455cbeda305a5e670a658d6e8c290bfdc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/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": 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": 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_b1efbbc6d85392a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..25470b63923be7c9832d528c9a92aa63a52021f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-1642-7593-b3f9-19c4057a5127"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"row_id\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"row_id\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"c18\\\"\\n)\\nSELECT \\\"row_id\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"row_id\\\" AS INTEGER) DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template on \\\"c18\\\" with measure_col bound to \\\"row_id\\\". Casts \\\"row_id\\\" to INTEGER for SQLite ordering because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14900,"cached_input_tokens":12032,"output_tokens":515,"reasoning_output_tokens":375}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a3a0302ebbacb3a35e7bc4a4ae3a388c0e36887 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"row_id\",\n NTILE(10) OVER (ORDER BY CAST(\"row_id\" AS INTEGER) DESC) AS tail_bucket\n FROM \"c18\"\n)\nSELECT \"row_id\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"row_id\" AS INTEGER) DESC;","notes":"Used the requested Quantile Tail Slice template on \"c18\" with measure_col bound to \"row_id\". Casts \"row_id\" to INTEGER for SQLite ordering 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_b1efbbc6d85392a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b1efbbc6d85392a1/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_b2334a771f3c96ad/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..533693a3e69ff8d4bdb16d0d64a55b3802f3f215 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10065, "bytes_utf8": 10069, "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": 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": 10065, "bytes_utf8": 10069, "lines": 264, "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": 637, "bytes_utf8": 637, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14881, "cached_input_tokens": 12032, "output_tokens": 678, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b84b44c682cb63e4e10a6145b9edd47ac1dd1cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_b2334a771f3c96ad", + "api_calls": 0, + "input_tokens": 14881, + "cached_input_tokens": 12032, + "output_tokens": 678, + "total_tokens": 15559, + "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": 18650.45, + "sql_execution_elapsed_ms_total": 72.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/conversation.jsonl", + "note": "Executed through a 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_b2334a771f3c96ad/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a4f0d6ff9705dc4fc2f9775f4715a646e68af52a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:43.630518+00:00", + "ended_at": "2026-05-19T15:52:46.834976+00:00", + "elapsed_ms": 3204.43, + "returncode": 1, + "prompt_metrics": { + "chars": 10065, + "bytes_utf8": 10069, + "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_b2334a771f3c96ad/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b59c27d7b3958584ed715a8797c6ee353eec6003 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:47.836899+00:00", + "ended_at": "2026-05-19T15:53:03.282954+00:00", + "elapsed_ms": 15446.02, + "prompt_metrics": { + "chars": 10065, + "bytes_utf8": 10069, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1008, + "bytes_utf8": 1008, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 637, + "bytes_utf8": 637, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14881, + "cached_input_tokens": 12032, + "output_tokens": 678, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fcc5ecc080c2f250f58a592c9c9269df6b129890 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/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=points, measure_col=points.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "points", + "measure_col": "points", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_b2334a771f3c96ad/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fcc5ecc080c2f250f58a592c9c9269df6b129890 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/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=points, measure_col=points.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "points", + "measure_col": "points", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_b2334a771f3c96ad/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b0e49d3cb4f40bffcbc789db8a02776baaa216d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-8099-7802-8572-0c84cd2b6853"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_b2334a771f3c96ad/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2598089a0b32b7685dde271fae228a9ae6a3d2fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-8099-7802-8572-0c84cd2b6853"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_b2334a771f3c96ad/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63722d06e0a528a3b24a427b2ef5bc743e960cdf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-90fd-7f83-ad68-6ec64d80c2d9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"points\\\",\\n CAST(\\\"points\\\" AS REAL) AS percentile_measure\\nFROM \\\"c18\\\"\\nWHERE \\\"points\\\" IS NOT NULL\\n AND \\\"points\\\" <> ''\\nGROUP BY \\\"points\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT. With group_col and measure_col both bound to \\\"points\\\", every row inside a group has the same numeric value, so the 0.9 percentile within each group is exactly that group's points value. The query casts \\\"points\\\" from TEXT to REAL, filters empty values, groups by \\\"points\\\", and applies the provided minimum group size.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14881,"cached_input_tokens":12032,"output_tokens":678,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..926e49839f8e11c18166fe91dc0307a64974cf24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"points\",\n CAST(\"points\" AS REAL) AS percentile_measure\nFROM \"c18\"\nWHERE \"points\" IS NOT NULL\n AND \"points\" <> ''\nGROUP BY \"points\"\nHAVING COUNT(*) >= 5\nORDER BY percentile_measure DESC;","notes":"SQLite has no PERCENTILE_CONT. With group_col and measure_col both bound to \"points\", every row inside a group has the same numeric value, so the 0.9 percentile within each group is exactly that group's points value. The query casts \"points\" from TEXT to REAL, filters empty values, groups by \"points\", and applies the provided minimum group size."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/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_b2334a771f3c96ad/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b2334a771f3c96ad/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_b330da3f04687a92/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6431f70de5cf76b3414c4106de5a60defd1ba2f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10475, "bytes_utf8": 10479, "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": 783, "bytes_utf8": 783, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14986, "cached_input_tokens": 13696, "output_tokens": 741, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..daabbd9197acbbaaedbbe6b83965183939cf9864 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_b330da3f04687a92", + "api_calls": 0, + "input_tokens": 14986, + "cached_input_tokens": 13696, + "output_tokens": 741, + "total_tokens": 15727, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14701.7, + "sql_execution_elapsed_ms_total": 90.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/conversation.jsonl", + "note": "Executed through a 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_b330da3f04687a92/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ce94236e27ee9ef1d03016a45496a62d5e6a5ce0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:20.197670+00:00", + "ended_at": "2026-05-19T15:51:34.899398+00:00", + "elapsed_ms": 14701.7, + "prompt_metrics": { + "chars": 10475, + "bytes_utf8": 10479, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1207, + "bytes_utf8": 1207, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 783, + "bytes_utf8": 783, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14986, + "cached_input_tokens": 13696, + "output_tokens": 741, + "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_b330da3f04687a92/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fdaf683537468527e0c397dd74ebc805096c806 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/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 count_distribution. Focus on group_col=taster_twitter_handle, measure_col=points.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "points", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_b330da3f04687a92/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab46bdcc08838290bd456a31b284be0d2b5d69d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-3a7b-7de1-8f16-c3b3d8c19494"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"taster_twitter_handle\\\",\\n SUM(CAST(NULLIF(\\\"points\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"c18\\\"\\n GROUP BY \\\"taster_twitter_handle\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"taster_twitter_handle\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"taster_twitter_handle\\\" and measure_col=\\\"points\\\". Since \\\"points\\\" is stored as TEXT in SQLite, the query casts non-empty values to REAL before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14986,"cached_input_tokens":13696,"output_tokens":741,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b3d21074cbeb92b25506df5dc3a99f549b748bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"taster_twitter_handle\",\n SUM(CAST(NULLIF(\"points\", '') AS REAL)) AS \"group_value\"\n FROM \"c18\"\n GROUP BY \"taster_twitter_handle\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"taster_twitter_handle\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\"taster_twitter_handle\" and measure_col=\"points\". Since \"points\" is stored as TEXT in SQLite, the query casts non-empty values to REAL before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b330da3f04687a92/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc8555bd6778d961709d86e428dfc6bc91c68ed5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=price. +Result preview: [{"price": "1125.0", "support": 1}, {"price": "1200.0", "support": 1}, {"price": "1300.0", "support": 1}, {"price": "157.0", "support": 1}, {"price": "172.0", "support": 1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2a3f1e9d086cc89fcb997ff34d4a9b4077611e2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_c18_b4989361c23798ca +-- problem_id: v2p_c18_cf69c4cc9d21d329 +-- realization_mode: agent +-- source_kind: agent +SELECT + "price", + COUNT(*) AS "support" +FROM "c18" +GROUP BY "price" +ORDER BY "support" ASC, "price" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b75ac6f98963200de62466b58a78ec430b86387 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"price\", \"support\"], \"rows\": [{\"price\": \"1125.0\", \"support\": 1}, {\"price\": \"1200.0\", \"support\": 1}, {\"price\": \"1300.0\", \"support\": 1}, {\"price\": \"157.0\", \"support\": 1}, {\"price\": \"172.0\", \"support\": 1}, {\"price\": \"176.0\", \"support\": 1}, {\"price\": \"177.0\", \"support\": 1}, {\"price\": \"183.0\", \"support\": 1}, {\"price\": \"189.0\", \"support\": 1}, {\"price\": \"1900.0\", \"support\": 1}, {\"price\": \"191.0\", \"support\": 1}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 86.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3f815ebccfe00cb7a3258c16f1303e23ff3b97e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T16:04:23.268517+00:00", + "ended_at": "2026-05-19T16:04:41.860646+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_b4989361c23798ca", + "problem_id": "v2p_c18_cf69c4cc9d21d329", + "dataset_id": "c18", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=price.", + "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 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_b4989361c23798ca.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6dc0a148d6f89ea6a518c4029c4ef53313325c80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:26.272869+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2983.2, "started_at": "2026-05-19T16:04:23.288818+00:00", "ended_at": "2026-05-19T16:04:26.272049+00:00", "prompt_metrics": {"chars": 9879, "bytes_utf8": 9883, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-2d9c-78c3-b47b-5c4b7887b751\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:04:41.772090+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14497.04, "started_at": "2026-05-19T16:04:27.273862+00:00", "ended_at": "2026-05-19T16:04:41.770934+00:00", "prompt_metrics": {"chars": 9879, "bytes_utf8": 9883, "lines": 262, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..63bfadf3cf6a52a5f9b1d31d4106d3de76bce4fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b4989361c23798ca/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_b621b1037eb52df5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..54547d8da82760ea36c7629eda05ea06506ba173 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:41.044486+00:00", + "ended_at": "2026-05-19T16:06:44.334923+00:00", + "elapsed_ms": 3290.41, + "returncode": 1, + "prompt_metrics": { + "chars": 9981, + "bytes_utf8": 9985, + "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_b621b1037eb52df5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..df20853add15754c72e7c65ca6aaa8a3f40d10be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/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": "2026-05-19T16:06:45.337255+00:00", + "ended_at": "2026-05-19T16:06:48.507835+00:00", + "elapsed_ms": 3170.53, + "returncode": 1, + "prompt_metrics": { + "chars": 9981, + "bytes_utf8": 9985, + "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_b621b1037eb52df5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ceb633ad9d5cd38f2f3a6d3c3f3a101270718696 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/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=region_2, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_b621b1037eb52df5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ceb633ad9d5cd38f2f3a6d3c3f3a101270718696 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/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=region_2, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_b621b1037eb52df5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fa301b87ae23fb0e68b7415cf2df8c619d48474 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-4794-7922-9699-dcff19358413"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_b621b1037eb52df5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9d154465164e6e391bab37c74a3a9f13e438826 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-4794-7922-9699-dcff19358413"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_b621b1037eb52df5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63cf5d972a056649ceaa6809fbfe9c784147ac74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-5867-7281-8b8a-dac854648733"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_b621b1037eb52df5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..50aa4b26c9b361e18c5c6262d84a80b28caa7e13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-5867-7281-8b8a-dac854648733"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_b621b1037eb52df5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/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_b621b1037eb52df5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b621b1037eb52df5/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_b7d8ec51125ced82/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b421350147333afa7c2d71a88bb6625f80d62b7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10326, "bytes_utf8": 10330, "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": 832, "bytes_utf8": 832, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14968, "cached_input_tokens": 12032, "output_tokens": 931, "reasoning_output_tokens": 703}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..51d7aa63f17d6701ff5281cef199bdd106d0a593 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_b7d8ec51125ced82", + "api_calls": 0, + "input_tokens": 14968, + "cached_input_tokens": 12032, + "output_tokens": 931, + "total_tokens": 15899, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20324.58, + "sql_execution_elapsed_ms_total": 445.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/conversation.jsonl", + "note": "Executed through a 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_b7d8ec51125ced82/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b2c79a89ca14461c65473dc9dabf89f9c8678431 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/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": "2026-05-19T15:38:45.911906+00:00", + "ended_at": "2026-05-19T15:39:06.236521+00:00", + "elapsed_ms": 20324.58, + "prompt_metrics": { + "chars": 10326, + "bytes_utf8": 10330, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1228, + "bytes_utf8": 1228, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 832, + "bytes_utf8": 832, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14968, + "cached_input_tokens": 12032, + "output_tokens": 931, + "reasoning_output_tokens": 703 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_b7d8ec51125ced82/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ce66c82c56c1031f7b7dfa0b3aec4f305d283fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/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_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": 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}, {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_b7d8ec51125ced82/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..345eda57318035d60f72558684bbd0e84350f11e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-b807-7810-96f0-bab7b5b61c4e"} +{"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(NULLIF(\\\"price\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL))) OVER (PARTITION BY \\\"taster_twitter_handle\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nWHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\n AND NULLIF(\\\"taster_twitter_handle\\\", '') IS NOT NULL\\nGROUP BY \\\"taster_twitter_handle\\\", \\\"title\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested Within-Group Share of Total template with group_col=\\\"taster_twitter_handle\\\", item_col=\\\"title\\\", and measure_col=\\\"price\\\". Because \\\"price\\\" is stored as TEXT and may be blank, the query converts non-empty values to REAL and excludes blank prices and blank group keys.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14968,"cached_input_tokens":12032,"output_tokens":931,"reasoning_output_tokens":703}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..005ddb94685fca51e7c15d7f5150625c9eafad7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/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(NULLIF(\"price\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"price\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"price\", '') AS REAL))) OVER (PARTITION BY \"taster_twitter_handle\") AS share_within_group\nFROM \"c18\"\nWHERE NULLIF(\"price\", '') IS NOT NULL\n AND NULLIF(\"taster_twitter_handle\", '') IS NOT NULL\nGROUP BY \"taster_twitter_handle\", \"title\"\nORDER BY share_within_group DESC;","notes":"Uses the requested Within-Group Share of Total template with group_col=\"taster_twitter_handle\", item_col=\"title\", and measure_col=\"price\". Because \"price\" is stored as TEXT and may be blank, the query converts non-empty values to REAL and excludes blank prices and blank group keys."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7d8ec51125ced82/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_b7faa1338071d92f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..372388cdc4cb1567d9ad35ae0156135652d2d8a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=taster_name, measure_col=points. +Result preview: [{"taster_name": "Jeff Jenssen", "region_1": "", "total_measure": 43365.0, "share_within_group": 100.0}, {"taster_name": "Mike DeSimone", "region_1": "", "total_measure": 45798.0, "share_within_group": 100.0}, {"taster_name": "Susan Kostrzewa", "region_1": "", "total_measure": 73425.0, "share_within_group": 78.13580785561503}, {"taster_name": "Carrie Dykes", "region_1": "Virginia", "total_measure": 8528.0, "share_within_group": 71.01340661170788}, {"taster_name": "Lauren Buzzeo", "region_1": "", "total_measure": 107256.0, "share_within_group": 66.6178059899877}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e61196c01ac3a0a0f734b2e9d13be791de94e646 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c18_b7faa1338071d92f +-- problem_id: v2p_c18_76e3420a522033bf +-- realization_mode: agent +-- source_kind: agent +SELECT "taster_name", "region_1", + SUM(CAST("points" AS REAL)) AS total_measure, + SUM(CAST("points" AS REAL)) * 100.0 / SUM(SUM(CAST("points" AS REAL))) OVER (PARTITION BY "taster_name") AS share_within_group +FROM "c18" +WHERE "points" IS NOT NULL AND "points" <> '' +GROUP BY "taster_name", "region_1" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad72ad48a9b3f7874059072dfe445226d650fd1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"taster_name\", \"region_1\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"taster_name\": \"Jeff Jenssen\", \"region_1\": \"\", \"total_measure\": 43365.0, \"share_within_group\": 100.0}, {\"taster_name\": \"Mike DeSimone\", \"region_1\": \"\", \"total_measure\": 45798.0, \"share_within_group\": 100.0}, {\"taster_name\": \"Susan Kostrzewa\", \"region_1\": \"\", \"total_measure\": 73425.0, \"share_within_group\": 78.13580785561503}, {\"taster_name\": \"Carrie Dykes\", \"region_1\": \"Virginia\", \"total_measure\": 8528.0, \"share_within_group\": 71.01340661170788}, {\"taster_name\": \"Lauren Buzzeo\", \"region_1\": \"\", \"total_measure\": 107256.0, \"share_within_group\": 66.6178059899877}, {\"taster_name\": \"Anne Krebiehl MW\", \"region_1\": \"\", \"total_measure\": 207542.0, \"share_within_group\": 62.189900006891946}, {\"taster_name\": \"Anna Lee C. Iijima\", \"region_1\": \"\", \"total_measure\": 176287.0, \"share_within_group\": 45.16068706690064}, {\"taster_name\": \"Sean P. Sullivan\", \"region_1\": \"Columbia Valley (WA)\", \"total_measure\": 171380.0, \"share_within_group\": 38.88275051558554}, {\"taster_name\": \"Joe Czerwinski\", \"region_1\": \"\", \"total_measure\": 154024.0, \"share_within_group\": 33.799726133211614}, {\"taster_name\": \"Christina Pickard\", \"region_1\": \"Carneros\", \"total_measure\": 176.0, \"share_within_group\": 33.396584440227706}, {\"taster_name\": \"Fiona Adams\", \"region_1\": \"\", \"total_measure\": 777.0, \"share_within_group\": 33.12020460358056}, {\"taster_name\": \"Anne Krebiehl MW\", \"region_1\": \"Alsace\", \"total_measure\": 109162.0, \"share_within_group\": 32.71036158730444}, {\"taster_name\": \"Michael Schachner\", \"region_1\": \"\", \"total_measure\": 402728.0, \"share_within_group\": 30.619695907570986}, {\"taster_name\": \"Anna Lee C. Iijima\", \"region_1\": \"Finger Lakes\", \"total_measure\": 118213.0, \"share_within_group\": 30.28345992750189}, {\"taster_name\": \"Alexander Peartree\", \"region_1\": \"Virginia\", \"total_measure\": 9871.0, \"share_within_group\": 27.70418186921134}, {\"taster_name\": \"Roger Voss\", \"region_1\": \"\", \"total_measure\": 608047.0, \"share_within_group\": 26.865553599705915}, {\"taster_name\": \"Fiona Adams\", \"region_1\": \"Colorado\", \"total_measure\": 610.0, \"share_within_group\": 26.00170502983802}, {\"taster_name\": \"Jim Gordon\", \"region_1\": \"California\", \"total_measure\": 88874.0, \"share_within_group\": 24.00754203224273}, {\"taster_name\": \"Paul Gregutt\", \"region_1\": \"Willamette Valley\", \"total_measure\": 198006.0, \"share_within_group\": 23.31855358688548}, {\"taster_name\": \"Paul Gregutt\", \"region_1\": \"Columbia Valley (WA)\", \"total_measure\": 194247.0, \"share_within_group\": 22.875867794873606}, {\"taster_name\": \"Matt Kettmann\", \"region_1\": \"Paso Robles\", \"total_measure\": 117852.0, \"share_within_group\": 20.678147508049165}, {\"taster_name\": \"Virginie Boone\", \"region_1\": \"Napa Valley\", \"total_measure\": 162415.0, \"share_within_group\": 19.08905207633035}, {\"taster_name\": \"Christina Pickard\", \"region_1\": \"Barossa\", \"total_measure\": 93.0, \"share_within_group\": 17.647058823529413}, {\"taster_name\": \"Virginie Boone\", \"region_1\": \"Russian River Valley\", \"total_measure\": 144505.0, \"share_within_group\": 16.98404377853103}, {\"taster_name\": \"Christina Pickard\", \"region_1\": \"Sonoma County\", \"total_measure\": 89.0, \"share_within_group\": 16.888045540796963}, {\"taster_name\": \"Christina Pickard\", \"region_1\": \"Russian River Valley\", \"total_measure\": 87.0, \"share_within_group\": 16.50853889943074}, {\"taster_name\": \"Christina Pickard\", \"region_1\": \"Dry Creek Valley\", \"total_measure\": 82.0, \"share_within_group\": 15.559772296015181}, {\"taster_name\": \"Carrie Dykes\", \"region_1\": \"Monticello\", \"total_measure\": 1836.0, \"share_within_group\": 15.28853359980015}, {\"taster_name\": \"Michael Schachner\", \"region_1\": \"Mendoza\", \"total_measure\": 198769.0, \"share_within_group\": 15.112548260493378}, {\"taster_name\": \"Fiona Adams\", \"region_1\": \"Grand Valley\", \"total_measure\": 352.0, \"share_within_group\": 15.004262574595055}, {\"taster_name\": \"Fiona Adams\", \"region_1\": \"Texas High Plains\", \"total_measure\": 350.0, \"share_within_group\": 14.919011082693947}, {\"taster_name\": \"Alexander Peartree\", \"region_1\": \"Texas\", \"total_measure\": 4516.0, \"share_within_group\": 12.674712321077743}, {\"taster_name\": \"Sean P. Sullivan\", \"region_1\": \"Walla Walla Valley (WA)\", \"total_measure\": 54182.0, \"share_within_group\": 12.292829901012112}, {\"taster_name\": \"Carrie Dykes\", \"region_1\": \"Middleburg\", \"total_measure\": 1473.0, \"share_within_group\": 12.265800649512865}, {\"taster_name\": \"Anna Lee C. Iijima\", \"region_1\": \"North Fork of Long Island\", \"total_measure\": 45906.0, \"share_within_group\": 11.760064556621536}, {\"taster_name\": \"Alexander Peartree\", \"region_1\": \"Monticello\", \"total_measure\": 3910.0, \"share_within_group\": 10.97389840022453}, {\"taster_name\": \"Fiona Adams\", \"region_1\": \"Texas\", \"total_measure\": 257.0, \"share_within_group\": 10.954816709292412}, {\"taster_name\": \"Susan Kostrzewa\", \"region_1\": \"Finger Lakes\", \"total_measure\": 10085.0, \"share_within_group\": 10.732034351023188}, {\"taster_name\": \"Kerin O’Keefe\", \"region_1\": \"Barolo\", \"total_measure\": 102136.0, \"share_within_group\": 10.665374602800005}, {\"taster_name\": \"\", \"region_1\": \"Napa Valley\", \"total_measure\": 232982.0, \"share_within_group\": 10.111649042248692}, {\"taster_name\": \"Sean P. Sullivan\", \"region_1\": \"Yakima Valley\", \"total_measure\": 44321.0, \"share_within_group\": 10.055562992188511}, {\"taster_name\": \"Matt Kettmann\", \"region_1\": \"Sta. Rita Hills\", \"total_measure\": 56616.0, \"share_within_group\": 9.933764376639441}, {\"taster_name\": \"Jim Gordon\", \"region_1\": \"Lodi\", \"total_measure\": 36531.0, \"share_within_group\": 9.868122487790119}, {\"taster_name\": \"Michael Schachner\", \"region_1\": \"Rioja\", \"total_measure\": 127394.0, \"share_within_group\": 9.685856311081173}, {\"taster_name\": \"Alexander Peartree\", \"region_1\": \"Old Mission Peninsula\", \"total_measure\": 3142.0, \"share_within_group\": 8.818411451024417}, {\"taster_name\": \"Jim Gordon\", \"region_1\": \"Anderson Valley\", \"total_measure\": 31980.0, \"share_within_group\": 8.638760427021653}, {\"taster_name\": \"Virginie Boone\", \"region_1\": \"Sonoma Coast\", \"total_measure\": 72095.0, \"share_within_group\": 8.473510509762255}, {\"taster_name\": \"Matt Kettmann\", \"region_1\": \"Santa Barbara County\", \"total_measure\": 47825.0, \"share_within_group\": 8.391307780711836}, {\"taster_name\": \"Sean P. Sullivan\", \"region_1\": \"Red Mountain\", \"total_measure\": 36192.0, \"share_within_group\": 8.211252810480056}, {\"taster_name\": \"Sean P. Sullivan\", \"region_1\": \"Horse Heaven Hills\", \"total_measure\": 34603.0, \"share_within_group\": 7.850739970187925}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 164.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5c92faf960f9321bc138fe33731f62a3651efda4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:37:27.938339+00:00", + "ended_at": "2026-05-19T15:37:43.681681+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_b7faa1338071d92f", + "problem_id": "v2p_c18_76e3420a522033bf", + "dataset_id": "c18", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=taster_name, measure_col=points.", + "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 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_b7faa1338071d92f.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5c37c5d653a8c1c91d5d3254b4e808cd856eed43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:43.514730+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15555.06, "started_at": "2026-05-19T15:37:27.958658+00:00", "ended_at": "2026-05-19T15:37:43.513744+00:00", "prompt_metrics": {"chars": 10308, "bytes_utf8": 10312, "lines": 266, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7cf6c65a7bfeab054975b79abec026ddb9681356 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b7faa1338071d92f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_b8616a9293c3f8e2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..68100eaa815587ff72f3c3e48ee9b45dab7065e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10449, "bytes_utf8": 10453, "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": 718, "bytes_utf8": 718, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14985, "cached_input_tokens": 13696, "output_tokens": 705, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..30c850c2e687683902fbb584a6940c4c115f9d5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_b8616a9293c3f8e2", + "api_calls": 0, + "input_tokens": 14985, + "cached_input_tokens": 13696, + "output_tokens": 705, + "total_tokens": 15690, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14735.5, + "sql_execution_elapsed_ms_total": 107.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/conversation.jsonl", + "note": "Executed through a 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_b8616a9293c3f8e2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6cb4b8563b9e3c3288944c895afa3e9190039a54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/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": "2026-05-19T15:47:31.967637+00:00", + "ended_at": "2026-05-19T15:47:46.703194+00:00", + "elapsed_ms": 14735.5, + "prompt_metrics": { + "chars": 10449, + "bytes_utf8": 10453, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1098, + "bytes_utf8": 1098, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 718, + "bytes_utf8": 718, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14985, + "cached_input_tokens": 13696, + "output_tokens": 705, + "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_b8616a9293c3f8e2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..11c600962c719d7d6ab54007a64f47a1af6a29aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/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 count_distribution. Focus on group_col=region_2, measure_col=row_id.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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}, 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_b8616a9293c3f8e2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..29d3131f9972f3b60e216fb8fb80c9049033c8e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-bf7e-7ee0-8467-428b99934005"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"region_2\\\",\\n COUNT(\\\"row_id\\\") AS group_value\\n FROM \\\"c18\\\"\\n GROUP BY \\\"region_2\\\"\\n),\\ntotal AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"region_2\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template and bindings, but interpreted measure_col=\\\"row_id\\\" as a count distribution with COUNT(\\\"row_id\\\") rather than SUM(\\\"row_id\\\"), because \\\"row_id\\\" is a text identifier in this schema and the task explicitly targets count_distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14985,"cached_input_tokens":13696,"output_tokens":705,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24bec22bbca4193875303b36f86ee2720a3a29eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"region_2\",\n COUNT(\"row_id\") AS group_value\n FROM \"c18\"\n GROUP BY \"region_2\"\n),\ntotal AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"region_2\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the requested template and bindings, but interpreted measure_col=\"row_id\" as a count distribution with COUNT(\"row_id\") rather than SUM(\"row_id\"), because \"row_id\" is a text identifier in this schema and the task explicitly targets count_distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b8616a9293c3f8e2/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_b9dee6472d75489a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a04e82bb185040dd5c387f06f9b75cdf3286dafb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9827, "bytes_utf8": 9831, "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": 9827, "bytes_utf8": 9831, "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": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14834, "cached_input_tokens": 13696, "output_tokens": 631, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7eb27fa5d746142282931e458bd61d71ffafb765 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_b9dee6472d75489a", + "api_calls": 0, + "input_tokens": 14834, + "cached_input_tokens": 13696, + "output_tokens": 631, + "total_tokens": 15465, + "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": 15453.77, + "sql_execution_elapsed_ms_total": 62.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/conversation.jsonl", + "note": "Executed through a 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_b9dee6472d75489a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6336ad30b54979235f0a0a88f4f24f5374b7f52b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:00.262104+00:00", + "ended_at": "2026-05-19T16:03:03.261252+00:00", + "elapsed_ms": 2999.12, + "returncode": 1, + "prompt_metrics": { + "chars": 9827, + "bytes_utf8": 9831, + "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_b9dee6472d75489a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0c256629eab947914c6b293e0354e39fc5f79f99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:04.263494+00:00", + "ended_at": "2026-05-19T16:03:16.718196+00:00", + "elapsed_ms": 12454.65, + "prompt_metrics": { + "chars": 9827, + "bytes_utf8": 9831, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 754, + "bytes_utf8": 754, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 406, + "bytes_utf8": 406, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14834, + "cached_input_tokens": 13696, + "output_tokens": 631, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d92ec0ea6da602d5b86320a72b49b80609b01fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/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_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=price.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "price", + "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": 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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d92ec0ea6da602d5b86320a72b49b80609b01fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/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_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=price.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "price", + "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": 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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9c02fb0bef642daba1e71a87a71fee3c09b6c79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-e94d-7a41-b1ad-fc734aa55dcd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_b9dee6472d75489a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6730dcee25e230d9729e81595a4f734f40cfe9f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-e94d-7a41-b1ad-fc734aa55dcd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_b9dee6472d75489a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecd3b3f85f4b41afac0db1e296dd84b10e3103ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-f8da-7310-b56a-8e75482eaadd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN NULLIF(\\\"price\\\", '') IS NULL THEN NULL WHEN CAST(NULLIF(\\\"price\\\", '') AS REAL) <= 25.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c18\\\";\",\"notes\":\"Applies the Threshold Rarity CDF template to \\\"price\\\" with threshold 25.0, casting the TEXT field to REAL and excluding empty-string missing values from the average.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14834,"cached_input_tokens":13696,"output_tokens":631,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bea0a6bf7bd25629f3dfff1022d0701b8fde5bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN NULLIF(\"price\", '') IS NULL THEN NULL WHEN CAST(NULLIF(\"price\", '') AS REAL) <= 25.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c18\";","notes":"Applies the Threshold Rarity CDF template to \"price\" with threshold 25.0, casting the TEXT field to REAL and excluding empty-string missing values from the average."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/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_b9dee6472d75489a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_b9dee6472d75489a/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/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a291f38aee8bcc8ca020dfca3560a49088a35dc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T16:00:20.443331+00:00", + "ended_at": "2026-05-19T16:00:27.585315+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_bf2833380889ec05", + "problem_id": "v2p_c18_c379eb4ed82c9d90", + "dataset_id": "c18", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region_2, condition_col=country.", + "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 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8e3f49620093a7cd3d71e4cc21b7a0d0a430dc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_bf2833380889ec05/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:23.591647+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3127.39, "started_at": "2026-05-19T16:00:20.463079+00:00", "ended_at": "2026-05-19T16:00:23.590498+00:00", "prompt_metrics": {"chars": 10139, "bytes_utf8": 10143, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-78f0-77f2-a392-b8a60e482109\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:00:27.585227+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2990.46, "started_at": "2026-05-19T16:00:24.593962+00:00", "ended_at": "2026-05-19T16:00:27.584471+00:00", "prompt_metrics": {"chars": 10139, "bytes_utf8": 10143, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-893b-7763-ad86-515a23409f75\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17dfe3f2ee7cf5be5c062ac9a320e116a9b08021 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10474, "bytes_utf8": 10478, "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": 911, "bytes_utf8": 911, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14988, "cached_input_tokens": 13696, "output_tokens": 569, "reasoning_output_tokens": 328}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..91e242c80d128ab3fd19f5e13795d828db2242b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_c15a153f6acc0e6d", + "api_calls": 0, + "input_tokens": 14988, + "cached_input_tokens": 13696, + "output_tokens": 569, + "total_tokens": 15557, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12070.26, + "sql_execution_elapsed_ms_total": 82.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/conversation.jsonl", + "note": "Executed through a 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_c15a153f6acc0e6d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0982eb529669002b7311a64eea14e06dfbe596ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:49.455937+00:00", + "ended_at": "2026-05-19T15:49:01.526229+00:00", + "elapsed_ms": 12070.26, + "prompt_metrics": { + "chars": 10474, + "bytes_utf8": 10478, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1306, + "bytes_utf8": 1306, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 911, + "bytes_utf8": 911, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14988, + "cached_input_tokens": 13696, + "output_tokens": 569, + "reasoning_output_tokens": 328 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_c15a153f6acc0e6d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84af8df143f79bc03c10bf5d380db8b81411111f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/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=taster_twitter_handle, measure_col=price.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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": "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_c15a153f6acc0e6d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ecf4f90b892c51bb210b606f7e5b29485520904 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-edbb-7f93-a31a-b490bc2db5aa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"taster_twitter_handle\\\",\\n SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) AS group_value\\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 GROUP BY \\\"taster_twitter_handle\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"taster_twitter_handle\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"taster_twitter_handle\\\" and measure_col=\\\"price\\\". Filtered out empty/null handles and prices, and cast \\\"price\\\" from TEXT to REAL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14988,"cached_input_tokens":13696,"output_tokens":569,"reasoning_output_tokens":328}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f34ccf7bbf997efaafc5f255245182d3041b6a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"taster_twitter_handle\",\n SUM(CAST(NULLIF(\"price\", '') AS REAL)) AS group_value\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 GROUP BY \"taster_twitter_handle\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"taster_twitter_handle\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\"taster_twitter_handle\" and measure_col=\"price\". Filtered out empty/null handles and prices, and cast \"price\" from TEXT 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_c15a153f6acc0e6d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c15a153f6acc0e6d/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_c4b9d4e38719dd1e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9477cc85170808ef6f330ce35626f181e2760dda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=price, measure_col=points. +Result preview: [{"price": 20.0, "group_value": 608089.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..121863a086bfa36badbdfe77d7823d12a1172c50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c18_c4b9d4e38719dd1e +-- problem_id: v2p_c18_cb0a3183ae7738de +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT CAST(NULLIF("price", '') AS REAL) AS "price", + SUM(CAST(NULLIF("points", '') AS REAL)) AS "group_value" + FROM "c18" + WHERE NULLIF("price", '') IS NOT NULL + AND NULLIF("points", '') IS NOT NULL + GROUP BY CAST(NULLIF("price", '') AS REAL) +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."price", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0aa436668bdb209fb4a5af0dac4d1fefa22b4ff7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT 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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"price\", \"group_value\"], \"rows\": [{\"price\": 20.0, \"group_value\": 608089.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 139.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4d8734386a849f8ede58434b0beff369f4cd0cc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:49:54.493214+00:00", + "ended_at": "2026-05-19T15:50:15.786796+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_c4b9d4e38719dd1e", + "problem_id": "v2p_c18_cb0a3183ae7738de", + "dataset_id": "c18", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=price, measure_col=points.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_c4b9d4e38719dd1e.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e049353d47010a9ff3bac70c3b6bb3f7fa4c7379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:15.645439+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 21127.79, "started_at": "2026-05-19T15:49:54.516560+00:00", "ended_at": "2026-05-19T15:50:15.644383+00:00", "prompt_metrics": {"chars": 10444, "bytes_utf8": 10448, "lines": 264, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6bda9cb79acf9927c8a6c614dbb733460217faa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_c4b9d4e38719dd1e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_ca462fb6002d7410/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..580c8830f7f609ec1b2877d40da994300c76f1ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10453, "bytes_utf8": 10457, "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": 769, "bytes_utf8": 769, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14984, "cached_input_tokens": 12032, "output_tokens": 601, "reasoning_output_tokens": 397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d3bdacad31ae0c4802ec5a86128608f717251fd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_ca462fb6002d7410", + "api_calls": 0, + "input_tokens": 14984, + "cached_input_tokens": 12032, + "output_tokens": 601, + "total_tokens": 15585, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13519.38, + "sql_execution_elapsed_ms_total": 92.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/conversation.jsonl", + "note": "Executed through a 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_ca462fb6002d7410/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..90ae69fa13620b1ac81c05cae8df430cede48423 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:03.204414+00:00", + "ended_at": "2026-05-19T15:48:16.723827+00:00", + "elapsed_ms": 13519.38, + "prompt_metrics": { + "chars": 10453, + "bytes_utf8": 10457, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1150, + "bytes_utf8": 1150, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 769, + "bytes_utf8": 769, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14984, + "cached_input_tokens": 12032, + "output_tokens": 601, + "reasoning_output_tokens": 397 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd25857aa004b2b213999709d8794b9d173242ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/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=taster_name, measure_col=points.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "taster_name", + "measure_col": "points", + "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": "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_ca462fb6002d7410/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a798a50c1c9e974228269eab412821541c80090 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-3999-7712-842a-9f87bd36ef4d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"taster_name\\\", SUM(CAST(NULLIF(\\\"points\\\", '') AS REAL)) AS group_value\\n FROM \\\"c18\\\"\\n WHERE NULLIF(\\\"taster_name\\\", '') IS NOT NULL\\n AND NULLIF(\\\"points\\\", '') IS NOT NULL\\n GROUP BY \\\"taster_name\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"taster_name\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applies the requested template with group_col=\\\"taster_name\\\" and measure_col=\\\"points\\\"; casts \\\"points\\\" from TEXT to REAL and filters out empty taster names and empty point values for a stable aggregation view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14984,"cached_input_tokens":12032,"output_tokens":601,"reasoning_output_tokens":397}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7157c3cb4c15dfb857927931f73f0b9f0bc0be10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"taster_name\", SUM(CAST(NULLIF(\"points\", '') AS REAL)) AS group_value\n FROM \"c18\"\n WHERE NULLIF(\"taster_name\", '') IS NOT NULL\n AND NULLIF(\"points\", '') IS NOT NULL\n GROUP BY \"taster_name\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"taster_name\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applies the requested template with group_col=\"taster_name\" and measure_col=\"points\"; casts \"points\" from TEXT to REAL and filters out empty taster names and empty point values for a stable aggregation view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca462fb6002d7410/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_ca6ae5e7be2ee5c1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..494edbbb09d133de36a4c30bb76f6dc172be8a37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10068, "bytes_utf8": 10072, "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": 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": 10068, "bytes_utf8": 10072, "lines": 264, "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": 1157, "bytes_utf8": 1157, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14881, "cached_input_tokens": 13696, "output_tokens": 858, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..42b87146a85cac933bcf7f8da9364dbd5e237c09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_ca6ae5e7be2ee5c1", + "api_calls": 0, + "input_tokens": 14881, + "cached_input_tokens": 13696, + "output_tokens": 858, + "total_tokens": 15739, + "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": 20215.01, + "sql_execution_elapsed_ms_total": 379.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/conversation.jsonl", + "note": "Executed through a 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_ca6ae5e7be2ee5c1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..90aa3956cadaebf7aab0275bea378b1a2f5f58e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:37.437926+00:00", + "ended_at": "2026-05-19T15:59:40.828939+00:00", + "elapsed_ms": 3390.99, + "returncode": 1, + "prompt_metrics": { + "chars": 10068, + "bytes_utf8": 10072, + "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_ca6ae5e7be2ee5c1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1973b0b5568ebbf0dc8847a1222e81019ba7f146 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:41.830677+00:00", + "ended_at": "2026-05-19T15:59:58.654728+00:00", + "elapsed_ms": 16824.02, + "prompt_metrics": { + "chars": 10068, + "bytes_utf8": 10072, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1650, + "bytes_utf8": 1650, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1157, + "bytes_utf8": 1157, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14881, + "cached_input_tokens": 13696, + "output_tokens": 858, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c39b4a696ae06c9acac06196c148fffb18d8b247 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/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=price, measure_col=points.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "price", + "measure_col": "points", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_ca6ae5e7be2ee5c1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c39b4a696ae06c9acac06196c148fffb18d8b247 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/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 focused_target_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": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_ca6ae5e7be2ee5c1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1ab69c45ecb99cc14544945740e2750ab116aff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-d0e4-7821-a963-eab52259caab"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_ca6ae5e7be2ee5c1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7dfe2e4b7bea80a5e27cb6410090338286b4ddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-d0e4-7821-a963-eab52259caab"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_ca6ae5e7be2ee5c1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..15d1bf008d3cbe56632963f31fe0312ea6a66b71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-e213-7410-8578-f0adf2a96ef4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n CAST(\\\"price\\\" AS REAL) AS \\\"price\\\",\\n CAST(\\\"points\\\" AS REAL) AS \\\"points\\\"\\n FROM \\\"c18\\\"\\n WHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\n AND NULLIF(\\\"points\\\", '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"price\\\",\\n \\\"points\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"price\\\"\\n ORDER BY \\\"points\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"price\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"price\\\",\\n \\\"points\\\" AS \\\"percentile_measure\\\",\\n \\\"cnt\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST((0.95 * \\\"cnt\\\") + 0.999999999 AS INTEGER)\\n)\\nSELECT\\n \\\"price\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"price\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per price group via window functions. Both \\\"price\\\" and \\\"points\\\" are cast from TEXT to REAL, empty strings are excluded, and groups smaller than 5 rows are filtered using the provided minimum group size.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14881,"cached_input_tokens":13696,"output_tokens":858,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b65a4e9ddb8ae65885e22f3f222eafcee06c5204 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n CAST(\"price\" AS REAL) AS \"price\",\n CAST(\"points\" AS REAL) AS \"points\"\n FROM \"c18\"\n WHERE NULLIF(\"price\", '') IS NOT NULL\n AND NULLIF(\"points\", '') IS NOT NULL\n),\n\"ranked\" AS (\n SELECT\n \"price\",\n \"points\",\n ROW_NUMBER() OVER (\n PARTITION BY \"price\"\n ORDER BY \"points\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"price\"\n ) AS \"cnt\"\n FROM \"base\"\n),\n\"picked\" AS (\n SELECT\n \"price\",\n \"points\" AS \"percentile_measure\",\n \"cnt\"\n FROM \"ranked\"\n WHERE \"rn\" = CAST((0.95 * \"cnt\") + 0.999999999 AS INTEGER)\n)\nSELECT\n \"price\",\n \"percentile_measure\"\nFROM \"picked\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC, \"price\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per price group via window functions. Both \"price\" and \"points\" are cast from TEXT to REAL, empty strings are excluded, and groups smaller than 5 rows are filtered using the provided minimum group size."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/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_ca6ae5e7be2ee5c1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ca6ae5e7be2ee5c1/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_ceac2e66a6c74007/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d31ad74a2d7b9c8d28f255bdf82fc51c5fd739d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10061, "bytes_utf8": 10065, "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": 607, "bytes_utf8": 607, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14898, "cached_input_tokens": 12032, "output_tokens": 625, "reasoning_output_tokens": 458}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..36444dc466d0289eab4601f32ec39157d6c4559e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_ceac2e66a6c74007", + "api_calls": 0, + "input_tokens": 14898, + "cached_input_tokens": 12032, + "output_tokens": 625, + "total_tokens": 15523, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15084.33, + "sql_execution_elapsed_ms_total": 241.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/conversation.jsonl", + "note": "Executed through a 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_ceac2e66a6c74007/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ba58affb37bd5375c453141849701ff93a086a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:10.746946+00:00", + "ended_at": "2026-05-19T15:46:25.831312+00:00", + "elapsed_ms": 15084.33, + "prompt_metrics": { + "chars": 10061, + "bytes_utf8": 10065, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 991, + "bytes_utf8": 991, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 607, + "bytes_utf8": 607, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14898, + "cached_input_tokens": 12032, + "output_tokens": 625, + "reasoning_output_tokens": 458 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_ceac2e66a6c74007/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9311b53f86ae2cd618d5b1303f190b8a5fe057cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/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=price.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "price", + "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": 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": "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_ceac2e66a6c74007/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2fcf030b79920f4cdc8759dab966df375756162 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-81e1-7442-8914-e61f6b28878a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice.\\nWITH buckets AS (\\n SELECT CAST(\\\"price\\\" AS REAL) AS \\\"price\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"price\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"price\\\" IS NOT NULL AND TRIM(\\\"price\\\") <> ''\\n)\\nSELECT \\\"price\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"price\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"price\\\" and num_tiles=10. Cast \\\"price\\\" from TEXT to REAL and filtered blank/missing values so the tail bucket reflects numeric extreme prices in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14898,"cached_input_tokens":12032,"output_tokens":625,"reasoning_output_tokens":458}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb0d62db44a3c791851c0ceba9bd7dfcbbce17e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice.\nWITH buckets AS (\n SELECT CAST(\"price\" AS REAL) AS \"price\",\n NTILE(10) OVER (ORDER BY CAST(\"price\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"c18\"\n WHERE \"price\" IS NOT NULL AND TRIM(\"price\") <> ''\n)\nSELECT \"price\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"price\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"price\" and num_tiles=10. Cast \"price\" from TEXT to REAL and filtered blank/missing values so the tail bucket reflects numeric extreme prices in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_ceac2e66a6c74007/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_d0ba91a9746e50da/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92b791207206984a73ae482035f6a296a6666d29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9890, "bytes_utf8": 9894, "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": 482, "bytes_utf8": 482, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14847, "cached_input_tokens": 12032, "output_tokens": 653, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bce537ec7af6e0f94a3b1eddcf9699d178d83bb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_d0ba91a9746e50da", + "api_calls": 0, + "input_tokens": 14847, + "cached_input_tokens": 12032, + "output_tokens": 653, + "total_tokens": 15500, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14447.39, + "sql_execution_elapsed_ms_total": 64.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/conversation.jsonl", + "note": "Executed through a 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_d0ba91a9746e50da/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1d11b9bdd0c331f8bee714f6d7d4509bf6e8c69d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:12.350188+00:00", + "ended_at": "2026-05-19T15:29:26.797613+00:00", + "elapsed_ms": 14447.39, + "prompt_metrics": { + "chars": 9890, + "bytes_utf8": 9894, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 845, + "bytes_utf8": 845, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 482, + "bytes_utf8": 482, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14847, + "cached_input_tokens": 12032, + "output_tokens": 653, + "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_d0ba91a9746e50da/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92e23ec187067a7b4e428c5b4e676d6a4f3ad9d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=region_2, measure_col=price.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "region_2", + "measure_col": "price", + "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": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..24541cf2075aa594b311e4bb35343f761f95d742 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-f7a0-75e2-b753-a933d3d71ca8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"region_2\\\", SUM(CAST(\\\"price\\\" AS REAL)) AS total_measure\\nFROM \\\"c18\\\"\\nWHERE TRIM(COALESCE(\\\"price\\\", '')) <> '' AND TRIM(COALESCE(\\\"region_2\\\", '')) <> ''\\nGROUP BY \\\"region_2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped numeric sum template with \\\"region_2\\\" as the group column and \\\"price\\\" as the measure, casting text prices to REAL and excluding blank price/region values to avoid misleading sums.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14847,"cached_input_tokens":12032,"output_tokens":653,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..62674d519910e5d6fa70cf1789f27fccc4f431ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"region_2\", SUM(CAST(\"price\" AS REAL)) AS total_measure\nFROM \"c18\"\nWHERE TRIM(COALESCE(\"price\", '')) <> '' AND TRIM(COALESCE(\"region_2\", '')) <> ''\nGROUP BY \"region_2\"\nORDER BY total_measure DESC;","notes":"Uses the planned grouped numeric sum template with \"region_2\" as the group column and \"price\" as the measure, casting text prices to REAL and excluding blank price/region values to avoid misleading sums."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d0ba91a9746e50da/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_d174fb6f9cad493c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..105be7b42a3ba9fada79cda22a92279bc68f8987 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/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": "2026-05-19T16:08:16.156345+00:00", + "ended_at": "2026-05-19T16:08:18.929554+00:00", + "elapsed_ms": 2773.18, + "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_d174fb6f9cad493c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d73b7f4789cd75351a0ec549c3a11b71f454c5c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/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": "2026-05-19T16:08:19.931891+00:00", + "ended_at": "2026-05-19T16:08:23.239431+00:00", + "elapsed_ms": 3307.49, + "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_d174fb6f9cad493c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b354cb364587fb07f25c1dbfabcf332e5417b4d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/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_name, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_name", + "measure_col": "row_id", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_d174fb6f9cad493c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b354cb364587fb07f25c1dbfabcf332e5417b4d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/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_name, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "taster_name", + "measure_col": "row_id", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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 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_d174fb6f9cad493c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d58fe6ed4df7cd099b86e031bfc66e821d233df8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-bb0a-7bd2-956d-49152b399a58"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_d174fb6f9cad493c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3cf63fc05ddc07a78f7998bd7728aa516377ecc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-bb0a-7bd2-956d-49152b399a58"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_d174fb6f9cad493c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be08b538851f825af2824e3e37d19a0fd2ff4309 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c9e1-7ec3-aa46-f4f1a81f8dec"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_d174fb6f9cad493c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7814cbec81bb96f12870d2c35cff225ef56270f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c9e1-7ec3-aa46-f4f1a81f8dec"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_d174fb6f9cad493c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/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_d174fb6f9cad493c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d174fb6f9cad493c/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_d758110ad5ea779d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b4ecc0dccabd7043e0e6180d7cdf4e144cd1026 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10060, "bytes_utf8": 10064, "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": 561, "bytes_utf8": 561, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14898, "cached_input_tokens": 13696, "output_tokens": 473, "reasoning_output_tokens": 322}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ca5739ffb001cdec4f30d89043433fb57faf6256 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_d758110ad5ea779d", + "api_calls": 0, + "input_tokens": 14898, + "cached_input_tokens": 13696, + "output_tokens": 473, + "total_tokens": 15371, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10905.22, + "sql_execution_elapsed_ms_total": 321.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/conversation.jsonl", + "note": "Executed through a 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_d758110ad5ea779d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6189013c7fd747a56cfcf4842389e774327adb32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:59.670505+00:00", + "ended_at": "2026-05-19T15:47:10.575767+00:00", + "elapsed_ms": 10905.22, + "prompt_metrics": { + "chars": 10060, + "bytes_utf8": 10064, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 929, + "bytes_utf8": 929, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 561, + "bytes_utf8": 561, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14898, + "cached_input_tokens": 13696, + "output_tokens": 473, + "reasoning_output_tokens": 322 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_d758110ad5ea779d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..26afc3c52d3c611d11b5c671251b8104c4556781 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/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=price.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "price", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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": "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_d758110ad5ea779d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..073c0e7c3aefa5004580ebf0a33c47e7a69dbabe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-40f2-7aa2-86c3-526a704eca67"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(NULLIF(\\\"price\\\", '') AS REAL) AS \\\"price\\\",\\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"price\\\", '') AS REAL) DESC) AS tail_bucket\\n FROM \\\"c18\\\"\\n WHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\n)\\nSELECT \\\"price\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"price\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with \\\"price\\\" as the measure column, casting text values to REAL and excluding blank prices so the top decile is computed numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14898,"cached_input_tokens":13696,"output_tokens":473,"reasoning_output_tokens":322}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..682118319f18ee0f9b2d9be1b6c480ea454df9e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(NULLIF(\"price\", '') AS REAL) AS \"price\",\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\"price\", '') AS REAL) DESC) AS tail_bucket\n FROM \"c18\"\n WHERE NULLIF(\"price\", '') IS NOT NULL\n)\nSELECT \"price\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"price\" DESC;","notes":"Applied the Quantile Tail Slice template with \"price\" as the measure column, casting text values to REAL and excluding blank prices so the top decile is computed numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d758110ad5ea779d/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_d7d8577feb0fb1e0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a39faf2ba1b66a61316449c7a6b55cad27b5a95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"country": "US", "support": 54504, "avg_response": 65467.82856304124}, {"country": "France", "support": 22093, "avg_response": 64804.00298737157}, {"country": "Italy", "support": 19540, "avg_response": 64077.543909928354}, {"country": "Spain", "support": 6645, "avg_response": 64915.517231000755}, {"country": "Portugal", "support": 5691, "avg_response": 63912.912141978566}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b10195b4819a9f02f47dd45e7dd71f9c78018064 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_c18_d7d8577feb0fb1e0 +-- problem_id: v2p_c18_04099e15c6d69eae +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "country", + COUNT(*) AS support, + AVG("row_id") AS avg_response +FROM "c18" +GROUP BY "country" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..378f397757fffc348ac143503c0be7c2fd8a9702 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c18\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c18_d7d8577feb0fb1e0\n-- problem_id: v2p_c18_04099e15c6d69eae\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"country\",\n COUNT(*) AS support,\n AVG(\"row_id\") AS avg_response\nFROM \"c18\"\nGROUP BY \"country\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c18\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c18_d7d8577feb0fb1e0\\n-- problem_id: v2p_c18_04099e15c6d69eae\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"country\\\",\\n COUNT(*) AS support,\\n AVG(\\\"row_id\\\") AS avg_response\\nFROM \\\"c18\\\"\\nGROUP BY \\\"country\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"country\", \"support\", \"avg_response\"], \"rows\": [{\"country\": \"US\", \"support\": 54504, \"avg_response\": 65467.82856304124}, {\"country\": \"France\", \"support\": 22093, \"avg_response\": 64804.00298737157}, {\"country\": \"Italy\", \"support\": 19540, \"avg_response\": 64077.543909928354}, {\"country\": \"Spain\", \"support\": 6645, \"avg_response\": 64915.517231000755}, {\"country\": \"Portugal\", \"support\": 5691, \"avg_response\": 63912.912141978566}, {\"country\": \"Chile\", \"support\": 4472, \"avg_response\": 64582.88215563506}, {\"country\": \"Argentina\", \"support\": 3800, \"avg_response\": 65075.72315789474}, {\"country\": \"Austria\", \"support\": 3345, \"avg_response\": 65614.29686098655}, {\"country\": \"Australia\", \"support\": 2329, \"avg_response\": 65037.539287247746}, {\"country\": \"Germany\", \"support\": 2165, \"avg_response\": 65787.59076212472}, {\"country\": \"New Zealand\", \"support\": 1419, \"avg_response\": 63523.36363636364}, {\"country\": \"South Africa\", \"support\": 1401, \"avg_response\": 63761.650249821556}, {\"country\": \"Israel\", \"support\": 505, \"avg_response\": 64879.473267326735}, {\"country\": \"Greece\", \"support\": 466, \"avg_response\": 65498.156652360514}, {\"country\": \"Canada\", \"support\": 257, \"avg_response\": 70582.36575875487}, {\"country\": \"Hungary\", \"support\": 146, \"avg_response\": 71893.16438356164}, {\"country\": \"Bulgaria\", \"support\": 141, \"avg_response\": 67618.17021276595}, {\"country\": \"Romania\", \"support\": 120, \"avg_response\": 64722.05}, {\"country\": \"Uruguay\", \"support\": 109, \"avg_response\": 61029.83486238532}, {\"country\": \"Turkey\", \"support\": 90, \"avg_response\": 65871.61111111111}, {\"country\": \"Slovenia\", \"support\": 87, \"avg_response\": 71523.05747126437}, {\"country\": \"Georgia\", \"support\": 86, \"avg_response\": 67749.43023255814}, {\"country\": \"England\", \"support\": 74, \"avg_response\": 72597.75675675676}, {\"country\": \"Croatia\", \"support\": 73, \"avg_response\": 55757.17808219178}, {\"country\": \"Mexico\", \"support\": 70, \"avg_response\": 66731.05714285714}, {\"country\": \"\", \"support\": 63, \"avg_response\": 66115.22222222222}, {\"country\": \"Moldova\", \"support\": 59, \"avg_response\": 67654.81355932204}, {\"country\": \"Brazil\", \"support\": 52, \"avg_response\": 54921.63461538462}, {\"country\": \"Lebanon\", \"support\": 35, \"avg_response\": 61872.514285714286}, {\"country\": \"Morocco\", \"support\": 28, \"avg_response\": 72302.03571428571}, {\"country\": \"Peru\", \"support\": 16, \"avg_response\": 64509.0}, {\"country\": \"Ukraine\", \"support\": 14, \"avg_response\": 80815.78571428571}, {\"country\": \"Macedonia\", \"support\": 12, \"avg_response\": 69603.25}, {\"country\": \"Serbia\", \"support\": 12, \"avg_response\": 61052.416666666664}, {\"country\": \"Czech Republic\", \"support\": 12, \"avg_response\": 60073.333333333336}, {\"country\": \"Cyprus\", \"support\": 11, \"avg_response\": 58639.181818181816}, {\"country\": \"India\", \"support\": 9, \"avg_response\": 68964.0}, {\"country\": \"Switzerland\", \"support\": 7, \"avg_response\": 59102.28571428572}, {\"country\": \"Luxembourg\", \"support\": 6, \"avg_response\": 56476.0}], \"row_count_returned\": 39, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 84.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..db67dac82d7cb05b1843bde7cbef23f8dcff616e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T16:08:26.237387+00:00", + "ended_at": "2026-05-19T16:08:26.323350+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_d7d8577feb0fb1e0", + "problem_id": "v2p_c18_04099e15c6d69eae", + "dataset_id": "c18", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=row_id, key_col=country.", + "bindings": { + "key_col": "country", + "measure_col": "row_id", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_d7d8577feb0fb1e0.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_d7d8577feb0fb1e0/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dbef18632ff8e49eafd03104dff7a4b0fd667472 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10291, "bytes_utf8": 10295, "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": 972, "bytes_utf8": 972, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14961, "cached_input_tokens": 13696, "output_tokens": 1434, "reasoning_output_tokens": 1163}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b522a8d987ea7c41d45298b2713c495fcf4e69ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_db2fbed8b25d17a3", + "api_calls": 0, + "input_tokens": 14961, + "cached_input_tokens": 13696, + "output_tokens": 1434, + "total_tokens": 16395, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26674.93, + "sql_execution_elapsed_ms_total": 146.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/conversation.jsonl", + "note": "Executed through a 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_db2fbed8b25d17a3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ebcde8465aa4b429e8948d846446fb3aaa90e90b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:46.312400+00:00", + "ended_at": "2026-05-19T15:36:12.987365+00:00", + "elapsed_ms": 26674.93, + "prompt_metrics": { + "chars": 10291, + "bytes_utf8": 10295, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1383, + "bytes_utf8": 1383, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 972, + "bytes_utf8": 972, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14961, + "cached_input_tokens": 13696, + "output_tokens": 1434, + "reasoning_output_tokens": 1163 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_db2fbed8b25d17a3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed0c61accbc24963567e2931b7439ae914e8f103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/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=price, measure_col=price.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "price", + "measure_col": "price", + "item_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": 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_db2fbed8b25d17a3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..53ac977c4e6728b7ff898ec18758a0203315bd2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-fa94-7f71-95fd-409047732df3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n CAST(NULLIF(\\\"price\\\", '') AS REAL) AS \\\"price_group\\\",\\n CAST(NULLIF(\\\"price\\\", '') AS REAL) AS \\\"price_item\\\",\\n SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL))) OVER (\\n PARTITION BY CAST(NULLIF(\\\"price\\\", '') AS REAL)\\n ) AS \\\"share_within_group\\\"\\nFROM \\\"c18\\\"\\nWHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\nGROUP BY\\n CAST(NULLIF(\\\"price\\\", '') AS REAL),\\n CAST(NULLIF(\\\"price\\\", '') AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 11;\",\"notes\":\"Used the requested template with group_col=item_col=measure_col bound to \\\"price\\\". Because \\\"price\\\" is stored as TEXT and may be blank, the query casts non-empty values to REAL for aggregation. With both group and item set to the same column, each group's within-group share is effectively 100% for that price value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14961,"cached_input_tokens":13696,"output_tokens":1434,"reasoning_output_tokens":1163}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..011759bed9275b1870fd1e96471b1e9b09e38514 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n CAST(NULLIF(\"price\", '') AS REAL) AS \"price_group\",\n CAST(NULLIF(\"price\", '') AS REAL) AS \"price_item\",\n SUM(CAST(NULLIF(\"price\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"price\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"price\", '') AS REAL))) OVER (\n PARTITION BY CAST(NULLIF(\"price\", '') AS REAL)\n ) AS \"share_within_group\"\nFROM \"c18\"\nWHERE NULLIF(\"price\", '') IS NOT NULL\nGROUP BY\n CAST(NULLIF(\"price\", '') AS REAL),\n CAST(NULLIF(\"price\", '') AS REAL)\nORDER BY \"share_within_group\" DESC\nLIMIT 11;","notes":"Used the requested template with group_col=item_col=measure_col bound to \"price\". Because \"price\" is stored as TEXT and may be blank, the query casts non-empty values to REAL for aggregation. With both group and item set to the same column, each group's within-group share is effectively 100% for that price value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_db2fbed8b25d17a3/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_e025f0e864d772b5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e26b69baa6ca396948c806046e5b91c2c057ac9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10470, "bytes_utf8": 10474, "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": 705, "bytes_utf8": 705, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14986, "cached_input_tokens": 13696, "output_tokens": 457, "reasoning_output_tokens": 267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d025b603fdcedfb7ad1f73334fa22d8558d4b4b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_e025f0e864d772b5", + "api_calls": 0, + "input_tokens": 14986, + "cached_input_tokens": 13696, + "output_tokens": 457, + "total_tokens": 15443, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16992.77, + "sql_execution_elapsed_ms_total": 94.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/conversation.jsonl", + "note": "Executed through a 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_e025f0e864d772b5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0aa736c5440caeb51793186dfabce41fb901b267 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:32.345443+00:00", + "ended_at": "2026-05-19T15:48:49.338246+00:00", + "elapsed_ms": 16992.77, + "prompt_metrics": { + "chars": 10470, + "bytes_utf8": 10474, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1076, + "bytes_utf8": 1076, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 705, + "bytes_utf8": 705, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14986, + "cached_input_tokens": 13696, + "output_tokens": 457, + "reasoning_output_tokens": 267 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_e025f0e864d772b5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..192bfafee9c9b9fe598427a335371f61a6fb6d04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/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 count_distribution. Focus on group_col=taster_twitter_handle, measure_col=price.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "price", + "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": 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": "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_e025f0e864d772b5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..42f9e72d80cac790c3c91b014842eb4cd417faff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-aae7-7eb3-b1cd-819749720720"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"taster_twitter_handle\\\", SUM(CAST(NULLIF(\\\"price\\\", '') AS REAL)) AS group_value\\n FROM \\\"c18\\\"\\n GROUP BY \\\"taster_twitter_handle\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"taster_twitter_handle\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"taster_twitter_handle\\\" and measure_col=\\\"price\\\". Since \\\"price\\\" is stored as TEXT and may be empty, NULLIF(..., '') and CAST(... AS REAL) make the SUM SQLite-compatible.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14986,"cached_input_tokens":13696,"output_tokens":457,"reasoning_output_tokens":267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..07ce2a87f840e187ed00c8aad5104810af94896c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"taster_twitter_handle\", SUM(CAST(NULLIF(\"price\", '') AS REAL)) AS group_value\n FROM \"c18\"\n GROUP BY \"taster_twitter_handle\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"taster_twitter_handle\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the requested template with group_col=\"taster_twitter_handle\" and measure_col=\"price\". Since \"price\" is stored as TEXT and may be empty, NULLIF(..., '') and CAST(... AS REAL) make the SUM SQLite-compatible."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e025f0e864d772b5/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_e03223d1fe1a3e58/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5bb1b09d50e5a8e6c08c3ba2cdadba9a35580c43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9920, "bytes_utf8": 9924, "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": 456, "bytes_utf8": 456, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14850, "cached_input_tokens": 12032, "output_tokens": 381, "reasoning_output_tokens": 260}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a0bf9b5fc7762a022cf6be0054a3b815cedca031 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_e03223d1fe1a3e58", + "api_calls": 0, + "input_tokens": 14850, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 15231, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9642.49, + "sql_execution_elapsed_ms_total": 103.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/conversation.jsonl", + "note": "Executed through a 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_e03223d1fe1a3e58/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2d952976576d23c366091adc340dbd4a1df50e10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:48.580387+00:00", + "ended_at": "2026-05-19T15:30:58.222917+00:00", + "elapsed_ms": 9642.49, + "prompt_metrics": { + "chars": 9920, + "bytes_utf8": 9924, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 814, + "bytes_utf8": 814, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 456, + "bytes_utf8": 456, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14850, + "cached_input_tokens": 12032, + "output_tokens": 381, + "reasoning_output_tokens": 260 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_e03223d1fe1a3e58/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..86d2ae81b994e68526fe94afef7d67af2408de91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/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_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "c18", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=taster_twitter_handle, measure_col=points.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "points", + "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": 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}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..67d6d99f63c3e82443b9c41e82dc98b49572a0b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-6f7f-7a11-8401-885fdcb7bf8f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"taster_twitter_handle\\\", SUM(CAST(NULLIF(\\\"points\\\", '') AS REAL)) AS total_measure\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_twitter_handle\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the required grouped-sum template with group_col=\\\"taster_twitter_handle\\\" and measure_col=\\\"points\\\". Since \\\"points\\\" is stored as TEXT in SQLite, it is cast to REAL and empty strings are treated as NULL before summation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14850,"cached_input_tokens":12032,"output_tokens":381,"reasoning_output_tokens":260}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f1e2313f1b2daa9bdf6a923f6ebcb9054c382a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"taster_twitter_handle\", SUM(CAST(NULLIF(\"points\", '') AS REAL)) AS total_measure\nFROM \"c18\"\nGROUP BY \"taster_twitter_handle\"\nORDER BY total_measure DESC;","notes":"Uses the required grouped-sum template with group_col=\"taster_twitter_handle\" and measure_col=\"points\". Since \"points\" is stored as TEXT in SQLite, it is cast to REAL and empty strings are treated as NULL before summation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e03223d1fe1a3e58/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_e1e9890f9fadb6d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..408ff26607e9b2eb49606310b1436229ac7c50d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:10.241693+00:00", + "ended_at": "2026-05-19T16:02:12.879259+00:00", + "elapsed_ms": 2637.54, + "returncode": 1, + "prompt_metrics": { + "chars": 10146, + "bytes_utf8": 10150, + "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_e1e9890f9fadb6d9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..555c789f2a52ececdb10a9f7ef794b207d01ad55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:13.881484+00:00", + "ended_at": "2026-05-19T16:02:18.016060+00:00", + "elapsed_ms": 4134.53, + "returncode": 1, + "prompt_metrics": { + "chars": 10146, + "bytes_utf8": 10150, + "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_e1e9890f9fadb6d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f69314eded68b0b6501bdb02a2beb0df71b2bbf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/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 within_group_proportion. Focus on group_col=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "Portugal", + "positive_value": "US", + "negative_value": "Portugal", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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},\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_e1e9890f9fadb6d9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f69314eded68b0b6501bdb02a2beb0df71b2bbf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/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 within_group_proportion. Focus on group_col=price, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price", + "condition_col": "country", + "condition_value": "Portugal", + "positive_value": "US", + "negative_value": "Portugal", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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},\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_e1e9890f9fadb6d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8dba1bc41f91e796a3a82de1dd62251d9e7e548 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-25c3-78c2-bd6d-d031a8b7e5c9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_e1e9890f9fadb6d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddb4abe052f3dab465992e19d43d0665cfc5c736 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-25c3-78c2-bd6d-d031a8b7e5c9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_e1e9890f9fadb6d9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6506984b1aa4fae8539de58265ac2d8120d732ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-3415-7130-b045-356d17a4745c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_e1e9890f9fadb6d9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..369dc6e29708c338bedc57c6cad84233b790c5e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-3415-7130-b045-356d17a4745c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_e1e9890f9fadb6d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/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_e1e9890f9fadb6d9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e1e9890f9fadb6d9/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_e2653c6ba7760f40/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3077a50749c495090a9b4ae6a9acec09dfe44b7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10300, "bytes_utf8": 10304, "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": 1047, "bytes_utf8": 1047, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14964, "cached_input_tokens": 12032, "output_tokens": 2199, "reasoning_output_tokens": 1902}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3e284a298d46aee9d6751ab7266847aee842d967 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_e2653c6ba7760f40", + "api_calls": 0, + "input_tokens": 14964, + "cached_input_tokens": 12032, + "output_tokens": 2199, + "total_tokens": 17163, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 36350.68, + "sql_execution_elapsed_ms_total": 147.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/conversation.jsonl", + "note": "Executed through a 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_e2653c6ba7760f40/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c84a6a2b521ba1807fa8575b8563b2168452a99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:06.712543+00:00", + "ended_at": "2026-05-19T15:39:43.063252+00:00", + "elapsed_ms": 36350.68, + "prompt_metrics": { + "chars": 10300, + "bytes_utf8": 10304, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1501, + "bytes_utf8": 1501, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1047, + "bytes_utf8": 1047, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14964, + "cached_input_tokens": 12032, + "output_tokens": 2199, + "reasoning_output_tokens": 1902 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_e2653c6ba7760f40/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1706949822c18b5a367bc946b66fff3f861ecad6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/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=points, measure_col=row_id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "item_col": "variety", + "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}, {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_e2653c6ba7760f40/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2eaf706a0a668734e60b2485feed669abee35749 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-0950-7900-b09d-4b838a6624cd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n grouped.\\\"points\\\",\\n grouped.\\\"variety\\\",\\n grouped.\\\"total_measure\\\",\\n grouped.\\\"total_measure\\\" * 100.0 / SUM(grouped.\\\"total_measure\\\") OVER (PARTITION BY grouped.\\\"points\\\") AS share_within_group\\nFROM (\\n SELECT\\n \\\"points\\\",\\n \\\"variety\\\",\\n COUNT(\\\"row_id\\\") AS \\\"total_measure\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"points\\\" IS NOT NULL\\n AND \\\"points\\\" <> ''\\n AND \\\"variety\\\" IS NOT NULL\\n AND \\\"variety\\\" <> ''\\n AND \\\"row_id\\\" IS NOT NULL\\n AND \\\"row_id\\\" <> ''\\n GROUP BY \\\"points\\\", \\\"variety\\\"\\n HAVING COUNT(\\\"row_id\\\") >= 5\\n) AS grouped\\nORDER BY share_within_group DESC, grouped.\\\"points\\\", grouped.\\\"variety\\\"\\nLIMIT 10;\",\"notes\":\"Used the requested within-group share template with group_col=\\\"points\\\" and item_col=\\\"variety\\\". Because \\\"row_id\\\" is an identifier-like TEXT field, the query counts \\\"row_id\\\" rows as the measure instead of summing raw row_id values; it also excludes blank keys, applies min_support=5, and uses top_k=10.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14964,"cached_input_tokens":12032,"output_tokens":2199,"reasoning_output_tokens":1902}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..23840439a66b73008cfffee246c37b614be56ea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n grouped.\"points\",\n grouped.\"variety\",\n grouped.\"total_measure\",\n grouped.\"total_measure\" * 100.0 / SUM(grouped.\"total_measure\") OVER (PARTITION BY grouped.\"points\") AS share_within_group\nFROM (\n SELECT\n \"points\",\n \"variety\",\n COUNT(\"row_id\") AS \"total_measure\"\n FROM \"c18\"\n WHERE \"points\" IS NOT NULL\n AND \"points\" <> ''\n AND \"variety\" IS NOT NULL\n AND \"variety\" <> ''\n AND \"row_id\" IS NOT NULL\n AND \"row_id\" <> ''\n GROUP BY \"points\", \"variety\"\n HAVING COUNT(\"row_id\") >= 5\n) AS grouped\nORDER BY share_within_group DESC, grouped.\"points\", grouped.\"variety\"\nLIMIT 10;","notes":"Used the requested within-group share template with group_col=\"points\" and item_col=\"variety\". Because \"row_id\" is an identifier-like TEXT field, the query counts \"row_id\" rows as the measure instead of summing raw row_id values; it also excludes blank keys, applies min_support=5, and uses top_k=10."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e2653c6ba7760f40/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_e39966d96d67ab6d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3f03ab44bed2b0ed6b2222285e1e135a6cfa0327 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10229, "bytes_utf8": 10233, "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": 419, "bytes_utf8": 419, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14944, "cached_input_tokens": 13696, "output_tokens": 420, "reasoning_output_tokens": 300}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f6c573fe1adc512be2d35fafa0df75c5c6c48781 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_e39966d96d67ab6d", + "api_calls": 0, + "input_tokens": 14944, + "cached_input_tokens": 13696, + "output_tokens": 420, + "total_tokens": 15364, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10327.21, + "sql_execution_elapsed_ms_total": 55.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/conversation.jsonl", + "note": "Executed through a 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_e39966d96d67ab6d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3ec4926175feec2716939292d2d51dff8d3fc116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/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": "2026-05-19T15:45:08.713576+00:00", + "ended_at": "2026-05-19T15:45:19.040828+00:00", + "elapsed_ms": 10327.21, + "prompt_metrics": { + "chars": 10229, + "bytes_utf8": 10233, + "lines": 268, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 786, + "bytes_utf8": 786, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 419, + "bytes_utf8": 419, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14944, + "cached_input_tokens": 13696, + "output_tokens": 420, + "reasoning_output_tokens": 300 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_e39966d96d67ab6d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..268e6a54fd02fdb21c46c50f0b332ce1f805460f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/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=points, group_col_2=taster_twitter_handle.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "points", + "group_col_2": "taster_twitter_handle", + "predicate_col": "region_2", + "predicate_op": "=", + "predicate_value": "Napa", + "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": 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}, {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_e39966d96d67ab6d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..30ae0840701f30ed5197cdae6a7bdb498d633e6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-8f6f-7212-81e8-45ab6ab2e130"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"points\\\", \\\"taster_twitter_handle\\\", COUNT(*) AS row_count\\nFROM \\\"c18\\\"\\nWHERE \\\"region_2\\\" = 'Napa'\\nGROUP BY \\\"points\\\", \\\"taster_twitter_handle\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided filtered two-dimensional group count template with group_col=\\\"points\\\", group_col_2=\\\"taster_twitter_handle\\\", and predicate \\\"region_2\\\" = 'Napa'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14944,"cached_input_tokens":13696,"output_tokens":420,"reasoning_output_tokens":300}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..19bb1d261cb797c99b62e4c3a5224c5921ab3a59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"points\", \"taster_twitter_handle\", COUNT(*) AS row_count\nFROM \"c18\"\nWHERE \"region_2\" = 'Napa'\nGROUP BY \"points\", \"taster_twitter_handle\"\nORDER BY row_count DESC;","notes":"Uses the provided filtered two-dimensional group count template with group_col=\"points\", group_col_2=\"taster_twitter_handle\", and predicate \"region_2\" = 'Napa'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e39966d96d67ab6d/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_e3a9e37983e4e88d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dc9f99ca6502b7e7a297e80858470ca90ab7cbda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10298, "bytes_utf8": 10302, "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": 767, "bytes_utf8": 767, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14966, "cached_input_tokens": 13696, "output_tokens": 1263, "reasoning_output_tokens": 1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f5f94ea37f37198b0ebda3ed8cc8cee22358e3d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_e3a9e37983e4e88d", + "api_calls": 0, + "input_tokens": 14966, + "cached_input_tokens": 13696, + "output_tokens": 1263, + "total_tokens": 16229, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20833.71, + "sql_execution_elapsed_ms_total": 233.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/conversation.jsonl", + "note": "Executed through a 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_e3a9e37983e4e88d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6bc7a15a1e40b721830354fd436c5d3e4969fe82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:54.574705+00:00", + "ended_at": "2026-05-19T15:41:15.408443+00:00", + "elapsed_ms": 20833.71, + "prompt_metrics": { + "chars": 10298, + "bytes_utf8": 10302, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1166, + "bytes_utf8": 1166, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 767, + "bytes_utf8": 767, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14966, + "cached_input_tokens": 13696, + "output_tokens": 1263, + "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_e3a9e37983e4e88d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..94c25d30e8a99c06b6820fa66f83a613b6af555a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/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=region_2, measure_col=price.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "region_2", + "measure_col": "price", + "item_col": "row_id", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_e3a9e37983e4e88d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..558463657af8bf56dc9f4231feb3bb49679f10f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-aec0-72f3-bd74-ecc9cc4c3b78"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"region_2\\\",\\n \\\"row_id\\\",\\n SUM(CAST(NULLIF(TRIM(\\\"price\\\"), '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(TRIM(\\\"price\\\"), '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(TRIM(\\\"price\\\"), '') AS REAL))) OVER (PARTITION BY \\\"region_2\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nWHERE NULLIF(TRIM(\\\"price\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"region_2\\\"), '') IS NOT NULL\\nGROUP BY \\\"region_2\\\", \\\"row_id\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"region_2\\\", item_col=\\\"row_id\\\", and measure_col=\\\"price\\\". Because \\\"price\\\" is stored as TEXT, it is trimmed, blank values are excluded, and remaining values are cast to REAL before aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14966,"cached_input_tokens":13696,"output_tokens":1263,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..60eb5bed37ec334b87cdd43018875bea80f35d8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"region_2\",\n \"row_id\",\n SUM(CAST(NULLIF(TRIM(\"price\"), '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(TRIM(\"price\"), '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(TRIM(\"price\"), '') AS REAL))) OVER (PARTITION BY \"region_2\") AS share_within_group\nFROM \"c18\"\nWHERE NULLIF(TRIM(\"price\"), '') IS NOT NULL\n AND NULLIF(TRIM(\"region_2\"), '') IS NOT NULL\nGROUP BY \"region_2\", \"row_id\"\nORDER BY share_within_group DESC;","notes":"Uses the requested template with group_col=\"region_2\", item_col=\"row_id\", and measure_col=\"price\". Because \"price\" is stored as TEXT, it is trimmed, blank values are excluded, and remaining values are cast to REAL before aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e3a9e37983e4e88d/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_e4fcda3403440299/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a9351b69c937af7767f2a41dc9f2e108ca3f28e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9972, "bytes_utf8": 9976, "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": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14855, "cached_input_tokens": 12032, "output_tokens": 559, "reasoning_output_tokens": 454}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..178dc346c008d18b17022c66448ef677f49dd8e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_e4fcda3403440299", + "api_calls": 0, + "input_tokens": 14855, + "cached_input_tokens": 12032, + "output_tokens": 559, + "total_tokens": 15414, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12174.12, + "sql_execution_elapsed_ms_total": 230.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/conversation.jsonl", + "note": "Executed through a 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_e4fcda3403440299/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7666ee116154144f6d0570548e9ef7c06431d80a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:16.788564+00:00", + "ended_at": "2026-05-19T16:07:28.962725+00:00", + "elapsed_ms": 12174.12, + "prompt_metrics": { + "chars": 9972, + "bytes_utf8": 9976, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 760, + "bytes_utf8": 760, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 394, + "bytes_utf8": 394, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14855, + "cached_input_tokens": 12032, + "output_tokens": 559, + "reasoning_output_tokens": 454 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef88d5ce9bcb7882e6de79882c03c02ee9bce422 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=points, measure_col=row_id.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "points", + "measure_col": "row_id", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_e4fcda3403440299/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d3a20b826b346afe9fe3b8750e4689f960d000a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-d338-7053-bc9b-65306cae4ded"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"points\\\",\\n AVG(CAST(\\\"row_id\\\" AS REAL)) OVER (PARTITION BY \\\"points\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c18\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Uses the required Window Partition Average template with group_col=\\\"points\\\" and measure_col=\\\"row_id\\\". CAST is added because \\\"row_id\\\" is stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14855,"cached_input_tokens":12032,"output_tokens":559,"reasoning_output_tokens":454}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c704ec43a621b4dee6535ace11ca9593572957fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"points\",\n AVG(CAST(\"row_id\" AS REAL)) OVER (PARTITION BY \"points\") AS \"avg_measure\"\nFROM \"c18\"\nORDER BY \"avg_measure\" DESC;","notes":"Uses the required Window Partition Average template with group_col=\"points\" and measure_col=\"row_id\". CAST is added because \"row_id\" is stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e4fcda3403440299/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_e646561030018362/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..79b18a5eb183ce54172aead8acffb6d9e30ec34b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/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": "2026-05-19T16:00:38.753113+00:00", + "ended_at": "2026-05-19T16:00:41.658595+00:00", + "elapsed_ms": 2905.45, + "returncode": 1, + "prompt_metrics": { + "chars": 10159, + "bytes_utf8": 10163, + "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_e646561030018362/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ad0e3256db64192efa54183d4dc3b0a1b0cd978a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/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": "2026-05-19T16:00:42.660741+00:00", + "ended_at": "2026-05-19T16:00:46.251467+00:00", + "elapsed_ms": 3590.68, + "returncode": 1, + "prompt_metrics": { + "chars": 10159, + "bytes_utf8": 10163, + "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_e646561030018362/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd671e58cf66128b2b5960f68da6f796a8cbccaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/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 dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=taster_name, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "taster_name", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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},\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_e646561030018362/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd671e58cf66128b2b5960f68da6f796a8cbccaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/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 dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=taster_name, condition_col=country.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "taster_name", + "condition_col": "country", + "condition_value": "US", + "positive_value": "US", + "negative_value": "Portugal", + "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": 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},\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_e646561030018362/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..16b86929ec34ab25fcdd074e6c663fb48fda4f19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-c069-7e12-9ad3-b004a7a89c67"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_e646561030018362/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..25bc768bfc8d4ed49ef6ea1f3dfe55d742c86735 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-c069-7e12-9ad3-b004a7a89c67"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_e646561030018362/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e756c16e163b072426d7b68d6a3bb3c3a931896f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-cfd3-7812-bd35-2c7a3d562517"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_e646561030018362/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aaa66ebac3b9a05bc7be784f111f37c2c686bd4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e646561030018362/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-cfd3-7812-bd35-2c7a3d562517"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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100644 index 0000000000000000000000000000000000000000..99dff3ed809d747d62f34b52d848adfa927eace4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10093, "bytes_utf8": 10097, "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": 2115, "bytes_utf8": 2115, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14888, "cached_input_tokens": 13696, "output_tokens": 2208, "reasoning_output_tokens": 1552}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..662445b5811ddd9edea95e53b6efe511b0b800d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_e87733f30a03ceed", + "api_calls": 0, + "input_tokens": 14888, + "cached_input_tokens": 13696, + "output_tokens": 2208, + "total_tokens": 17096, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35215.11, + "sql_execution_elapsed_ms_total": 408.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/conversation.jsonl", + "note": "Executed through a 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_e87733f30a03ceed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..96b1f0e870b1b8208a50e11da4132e580edfcbf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:06.482559+00:00", + "ended_at": "2026-05-19T15:56:41.697724+00:00", + "elapsed_ms": 35215.11, + "prompt_metrics": { + "chars": 10093, + "bytes_utf8": 10097, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2751, + "bytes_utf8": 2751, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2115, + "bytes_utf8": 2115, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14888, + "cached_input_tokens": 13696, + "output_tokens": 2208, + "reasoning_output_tokens": 1552 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_e87733f30a03ceed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8afd9cca50686760b59941983e9cfef7e82b7708 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/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_twitter_handle, measure_col=price.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "price", + "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},\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_e87733f30a03ceed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee750615da3e4cabb58e3b1b307b0726433741d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-98f7-7e32-8329-50e03fa3736f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"taster_twitter_handle\\\",\\n CAST(\\\"price\\\" AS REAL) AS \\\"price_num\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"price\\\" IS NOT NULL\\n AND \\\"price\\\" <> ''\\n AND \\\"taster_twitter_handle\\\" IS NOT NULL\\n AND \\\"taster_twitter_handle\\\" <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"taster_twitter_handle\\\",\\n \\\"price_num\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"taster_twitter_handle\\\"\\n ORDER BY \\\"price_num\\\"\\n ) AS \\\"pos\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"taster_twitter_handle\\\"\\n ) AS \\\"cnt\\\",\\n 1.0 + 0.9 * (COUNT(*) OVER (PARTITION BY \\\"taster_twitter_handle\\\") - 1) AS \\\"rn\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT DISTINCT\\n \\\"taster_twitter_handle\\\",\\n \\\"cnt\\\",\\n CAST(\\\"rn\\\" AS INTEGER) AS \\\"lo_pos\\\",\\n CASE\\n WHEN CAST(\\\"rn\\\" AS INTEGER) < \\\"rn\\\" THEN CAST(\\\"rn\\\" AS INTEGER) + 1\\n ELSE CAST(\\\"rn\\\" AS INTEGER)\\n END AS \\\"hi_pos\\\",\\n \\\"rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n r.\\\"taster_twitter_handle\\\",\\n CASE\\n WHEN b.\\\"lo_pos\\\" = b.\\\"hi_pos\\\" THEN MAX(CASE WHEN r.\\\"pos\\\" = b.\\\"lo_pos\\\" THEN r.\\\"price_num\\\" END)\\n ELSE\\n (b.\\\"hi_pos\\\" - b.\\\"rn\\\") * MAX(CASE WHEN r.\\\"pos\\\" = b.\\\"lo_pos\\\" THEN r.\\\"price_num\\\" END) +\\n (b.\\\"rn\\\" - b.\\\"lo_pos\\\") * MAX(CASE WHEN r.\\\"pos\\\" = b.\\\"hi_pos\\\" THEN r.\\\"price_num\\\" END)\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\" AS r\\nJOIN \\\"bounds\\\" AS b\\n ON r.\\\"taster_twitter_handle\\\" = b.\\\"taster_twitter_handle\\\"\\nWHERE b.\\\"cnt\\\" >= 5\\nGROUP BY\\n r.\\\"taster_twitter_handle\\\",\\n b.\\\"cnt\\\",\\n b.\\\"lo_pos\\\",\\n b.\\\"hi_pos\\\",\\n b.\\\"rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 14;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the grouped 90th percentile for \\\"price\\\" by ordering values within each \\\"taster_twitter_handle\\\" group and linearly interpolating between bounding rows. It casts text \\\"price\\\" values to REAL, excludes blank prices and blank handles, enforces the bound minimum group size of 5, and returns the top 14 groups by percentile value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14888,"cached_input_tokens":13696,"output_tokens":2208,"reasoning_output_tokens":1552}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c8c1ca5c8718aa091632f5e8f0afacb64997590 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"taster_twitter_handle\",\n CAST(\"price\" AS REAL) AS \"price_num\"\n FROM \"c18\"\n WHERE \"price\" IS NOT NULL\n AND \"price\" <> ''\n AND \"taster_twitter_handle\" IS NOT NULL\n AND \"taster_twitter_handle\" <> ''\n),\n\"ranked\" AS (\n SELECT\n \"taster_twitter_handle\",\n \"price_num\",\n ROW_NUMBER() OVER (\n PARTITION BY \"taster_twitter_handle\"\n ORDER BY \"price_num\"\n ) AS \"pos\",\n COUNT(*) OVER (\n PARTITION BY \"taster_twitter_handle\"\n ) AS \"cnt\",\n 1.0 + 0.9 * (COUNT(*) OVER (PARTITION BY \"taster_twitter_handle\") - 1) AS \"rn\"\n FROM \"base\"\n),\n\"bounds\" AS (\n SELECT DISTINCT\n \"taster_twitter_handle\",\n \"cnt\",\n CAST(\"rn\" AS INTEGER) AS \"lo_pos\",\n CASE\n WHEN CAST(\"rn\" AS INTEGER) < \"rn\" THEN CAST(\"rn\" AS INTEGER) + 1\n ELSE CAST(\"rn\" AS INTEGER)\n END AS \"hi_pos\",\n \"rn\"\n FROM \"ranked\"\n)\nSELECT\n r.\"taster_twitter_handle\",\n CASE\n WHEN b.\"lo_pos\" = b.\"hi_pos\" THEN MAX(CASE WHEN r.\"pos\" = b.\"lo_pos\" THEN r.\"price_num\" END)\n ELSE\n (b.\"hi_pos\" - b.\"rn\") * MAX(CASE WHEN r.\"pos\" = b.\"lo_pos\" THEN r.\"price_num\" END) +\n (b.\"rn\" - b.\"lo_pos\") * MAX(CASE WHEN r.\"pos\" = b.\"hi_pos\" THEN r.\"price_num\" END)\n END AS \"percentile_measure\"\nFROM \"ranked\" AS r\nJOIN \"bounds\" AS b\n ON r.\"taster_twitter_handle\" = b.\"taster_twitter_handle\"\nWHERE b.\"cnt\" >= 5\nGROUP BY\n r.\"taster_twitter_handle\",\n b.\"cnt\",\n b.\"lo_pos\",\n b.\"hi_pos\",\n b.\"rn\"\nORDER BY \"percentile_measure\" DESC\nLIMIT 14;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the grouped 90th percentile for \"price\" by ordering values within each \"taster_twitter_handle\" group and linearly interpolating between bounding rows. It casts text \"price\" values to REAL, excludes blank prices and blank handles, enforces the bound minimum group size of 5, and returns the top 14 groups by percentile value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_e87733f30a03ceed/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..350a8737e4f0d60ba9f22eec8c96f3d8ceb3878e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=price, measure_col=points. +Result preview: [{"price": 440.0, "percentile_measure": 99.0}, {"price": 550.0, "percentile_measure": 98.8}, {"price": 800.0, "percentile_measure": 98.6}, {"price": 460.0, "percentile_measure": 98.5}, {"price": 250.0, "percentile_measure": 98.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be5c14df01cf9ba310bab0b57215b31e8408b062 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_eae7e4e9325fe096/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:36.877809+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 46252.03, "started_at": "2026-05-19T15:58:50.624905+00:00", "ended_at": "2026-05-19T15:59:36.876963+00:00", "prompt_metrics": {"chars": 10063, "bytes_utf8": 10067, "lines": 264, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b6c77a3f4b0877f007760b0916f0ae533c70a440 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/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": 594, "bytes_utf8": 594, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14967, "cached_input_tokens": 12288, "output_tokens": 2233, "reasoning_output_tokens": 2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d52cc388d108b51cf45d4bf8c258f2b27d43580d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_f05d45f9c18fc92c", + "api_calls": 0, + "input_tokens": 14967, + "cached_input_tokens": 12288, + "output_tokens": 2233, + "total_tokens": 17200, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35033.3, + "sql_execution_elapsed_ms_total": 140.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/conversation.jsonl", + "note": "Executed through a 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_f05d45f9c18fc92c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e46cc4fec651b6b6218b6b4ceed42b6c54284724 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:52.759672+00:00", + "ended_at": "2026-05-19T15:37:27.793041+00:00", + "elapsed_ms": 35033.3, + "prompt_metrics": { + "chars": 10308, + "bytes_utf8": 10312, + "lines": 266, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 992, + "bytes_utf8": 992, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 594, + "bytes_utf8": 594, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14967, + "cached_input_tokens": 12288, + "output_tokens": 2233, + "reasoning_output_tokens": 2070 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7ebeeab5c1b34fea99a9974c9fb1cf531dec542 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/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=region_2, measure_col=row_id.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "region_2", + "measure_col": "row_id", + "item_col": "province", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_f05d45f9c18fc92c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..391d2ec9da650991a11ddb3297ccddce4fce6590 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-fe31-78a2-ba97-9b8896a5b833"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"region_2\\\", \\\"province\\\",\\n COUNT(\\\"row_id\\\") AS \\\"total_measure\\\",\\n COUNT(\\\"row_id\\\") * 100.0 / SUM(COUNT(\\\"row_id\\\")) OVER (PARTITION BY \\\"region_2\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\", \\\"province\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used COUNT(\\\"row_id\\\") instead of SUM(\\\"row_id\\\") because \\\"row_id\\\" is an identifier stored as TEXT in this schema; this preserves the intended within-group share pattern by measuring review counts per province within each \\\"region_2\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14967,"cached_input_tokens":12288,"output_tokens":2233,"reasoning_output_tokens":2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..85f3bada85060cf7c837c57f51ea8bfe194bb020 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"region_2\", \"province\",\n COUNT(\"row_id\") AS \"total_measure\",\n COUNT(\"row_id\") * 100.0 / SUM(COUNT(\"row_id\")) OVER (PARTITION BY \"region_2\") AS \"share_within_group\"\nFROM \"c18\"\nGROUP BY \"region_2\", \"province\"\nORDER BY \"share_within_group\" DESC;","notes":"Used COUNT(\"row_id\") instead of SUM(\"row_id\") because \"row_id\" is an identifier stored as TEXT in this schema; this preserves the intended within-group share pattern by measuring review counts per province within each \"region_2\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f05d45f9c18fc92c/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..db504d7f2d2dd1774ce8aa0540106240718ff5ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=taster_twitter_handle, measure_col=price. +Result preview: [{"taster_twitter_handle": "@kerinokeefe", "percentile_measure": 100.0}, {"taster_twitter_handle": "@vboone", "percentile_measure": 100.0}, {"taster_twitter_handle": "@vossroger", "percentile_measure": 100.0}, {"taster_twitter_handle": "@JoeCz", "percentile_measure": 95.0}, {"taster_twitter_handle": "@wawinereport", "percentile_measure": 75.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c3b370883d5af9880746aa146ecac1532490edc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/generated_sql.sql @@ -0,0 +1,68 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c18_f24bbd40cee67ce8 +-- problem_id: v2p_c18_4b14d8d4f3b2296b +-- realization_mode: agent +-- source_kind: agent +WITH "filtered" AS ( + SELECT + "taster_twitter_handle" AS "group_col", + CAST("price" AS REAL) AS "measure_col" + FROM "c18" + WHERE "taster_twitter_handle" IS NOT NULL + AND "taster_twitter_handle" <> '' + AND "price" IS NOT NULL + AND "price" <> '' +), +"ranked" AS ( + SELECT + "group_col", + "measure_col", + ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure_col") AS "rn", + COUNT(*) OVER (PARTITION BY "group_col") AS "cnt" + FROM "filtered" +), +"bounds" AS ( + SELECT DISTINCT + "group_col", + "cnt", + 1.0 + 0.95 * ("cnt" - 1) AS "pos", + CAST(1.0 + 0.95 * ("cnt" - 1) AS INT) AS "lower_rn", + CASE + WHEN 1.0 + 0.95 * ("cnt" - 1) > CAST(1.0 + 0.95 * ("cnt" - 1) AS INT) + THEN CAST(1.0 + 0.95 * ("cnt" - 1) AS INT) + 1 + ELSE CAST(1.0 + 0.95 * ("cnt" - 1) AS INT) + END AS "upper_rn" + FROM "ranked" + WHERE "cnt" >= 5 +), +"picked" AS ( + SELECT + b."group_col", + b."pos", + b."lower_rn", + b."upper_rn", + MAX(CASE WHEN r."rn" = b."lower_rn" THEN r."measure_col" END) AS "lower_val", + MAX(CASE WHEN r."rn" = b."upper_rn" THEN r."measure_col" END) AS "upper_val" + FROM "bounds" AS b + JOIN "ranked" AS r + ON r."group_col" = b."group_col" + GROUP BY b."group_col", b."pos", b."lower_rn", b."upper_rn" +) +SELECT + "group_col" AS "taster_twitter_handle", + CASE + WHEN "lower_val" IS NULL THEN NULL + WHEN "upper_rn" = "lower_rn" OR "upper_val" IS NULL THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a1b1cddd7768177376622936dcd8f4da6618dbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"taster_twitter_handle\", \"percentile_measure\"], \"rows\": [{\"taster_twitter_handle\": \"@kerinokeefe\", \"percentile_measure\": 100.0}, {\"taster_twitter_handle\": \"@vboone\", \"percentile_measure\": 100.0}, {\"taster_twitter_handle\": \"@vossroger\", \"percentile_measure\": 100.0}, {\"taster_twitter_handle\": \"@JoeCz\", \"percentile_measure\": 95.0}, {\"taster_twitter_handle\": \"@wawinereport\", \"percentile_measure\": 75.0}, {\"taster_twitter_handle\": \"@mattkettmann\", \"percentile_measure\": 70.0}, {\"taster_twitter_handle\": \"@wineschach\", \"percentile_measure\": 70.0}, {\"taster_twitter_handle\": \"@bkfiona\", \"percentile_measure\": 69.49999999999997}, {\"taster_twitter_handle\": \"@paulgwine\", \"percentile_measure\": 68.0}, {\"taster_twitter_handle\": \"@AnneInVino\", \"percentile_measure\": 65.0}, {\"taster_twitter_handle\": \"@laurbuzz\", \"percentile_measure\": 62.399999999999864}, {\"taster_twitter_handle\": \"@gordone_cellars\", \"percentile_measure\": 58.0}, {\"taster_twitter_handle\": \"@worldwineguys\", \"percentile_measure\": 56.0}, {\"taster_twitter_handle\": \"@suskostrzewa\", \"percentile_measure\": 50.0}, {\"taster_twitter_handle\": \"@winewchristina\", \"percentile_measure\": 45.0}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 420.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..10d6899f1883b96f27efb80503c1aa40f2fbd6e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:56:42.109478+00:00", + "ended_at": "2026-05-19T15:57:35.950499+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_f24bbd40cee67ce8", + "problem_id": "v2p_c18_4b14d8d4f3b2296b", + "dataset_id": "c18", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=taster_twitter_handle, measure_col=price.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_f24bbd40cee67ce8.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..688c48bb2f9a8612d2634b70c91eb789448aca29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:57:35.528098+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 53397.12, "started_at": "2026-05-19T15:56:42.130128+00:00", "ended_at": "2026-05-19T15:57:35.527273+00:00", "prompt_metrics": {"chars": 10098, "bytes_utf8": 10102, "lines": 264, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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 \\\"r"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f24bbd40cee67ce8/usage_summary.json new file mode 100644 index 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--git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f325bd8510ed3614fe7ab2f80a035ef70aa6c0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9881, "bytes_utf8": 9885, "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": 9881, "bytes_utf8": 9885, "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": 324, "bytes_utf8": 324, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14855, "cached_input_tokens": 12032, "output_tokens": 443, "reasoning_output_tokens": 351}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/session_summary.json new file mode 100644 index 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"/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/conversation.jsonl", + "note": "Executed through a 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_f29743de807368a2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1f1ea7ac177b3af679ff9761851e9041121937d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/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": "2026-05-19T16:04:41.881854+00:00", + "ended_at": "2026-05-19T16:04:46.469284+00:00", + "elapsed_ms": 4587.4, + "returncode": 1, + "prompt_metrics": { + "chars": 9881, + "bytes_utf8": 9885, + "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_f29743de807368a2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7bec3c4be26db825f364c5a7aac3b1ed9aa636ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/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": "2026-05-19T16:04:47.472195+00:00", + "ended_at": "2026-05-19T16:04:57.611492+00:00", + "elapsed_ms": 10139.24, + "prompt_metrics": { + "chars": 9881, + "bytes_utf8": 9885, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 685, + "bytes_utf8": 685, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 324, + "bytes_utf8": 324, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14855, + "cached_input_tokens": 12032, + "output_tokens": 443, + "reasoning_output_tokens": 351 + } + }, + "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_f29743de807368a2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d884d047764dff2c6260076b5003af0b230c10cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/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=price.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "price", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_f29743de807368a2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d884d047764dff2c6260076b5003af0b230c10cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/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=price.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "price", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 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_f29743de807368a2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fc36b80d6ef4cb07d5be9e740d25cbedbf54c89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7620-76a2-9585-f3c4cf4619b8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_f29743de807368a2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..20282da941a30ed591c6f989cb5599b324fc1c62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7620-76a2-9585-f3c4cf4619b8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_f29743de807368a2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..40a96c3afa0cc4e095d46f12016cf7ca339bcdb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8bfe-71b1-969e-69b6643b8460"} +{"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 16;\",\"notes\":\"Applies the Low-Support Group Count template with group_col=\\\"price\\\", returning the 16 least-supported price groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14855,"cached_input_tokens":12032,"output_tokens":443,"reasoning_output_tokens":351}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66770b9d050e043deecd17fa9d12d1f001e3d103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/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 16;","notes":"Applies the Low-Support Group Count template with group_col=\"price\", returning the 16 least-supported price groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/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_f29743de807368a2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f29743de807368a2/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_f340578bf1eb5c6c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f60e76859d02fb85ac677ae45a92cee51ca9849d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "", "support": 26244, "support_share": 0.20192196720806949, "support_rank": 1}, {"value_label": "Roger Voss", "support": 25514, "support_share": 0.1963053296504605, "support_rank": 2}, {"value_label": "Michael Schachner", "support": 15134, "support_share": 0.11644135999569134, "support_rank": 3}, {"value_label": "Kerin O’Keefe", "support": 10776, "support_share": 0.08291080317917074, "support_rank": 4}, {"value_label": "Virginie Boone", "support": 9537, "support_share": 0.07337790737933847, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ebe46ffbf750f2cc130e4515b51aaddf3b64f157 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_c18_f340578bf1eb5c6c +-- problem_id: v2p_c18_e2710ec43a9c7b7e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "taster_name" AS value_label, COUNT(*) AS support + FROM "c18" + GROUP BY "taster_name" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c16f8f7eba27c319b30ed3292cbcc9a43e92ebfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c18\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c18_f340578bf1eb5c6c\n-- problem_id: v2p_c18_e2710ec43a9c7b7e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"taster_name\" AS value_label, COUNT(*) AS support\n FROM \"c18\"\n GROUP BY \"taster_name\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c18\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c18_f340578bf1eb5c6c\\n-- problem_id: v2p_c18_e2710ec43a9c7b7e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"taster_name\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c18\\\"\\n GROUP BY \\\"taster_name\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"\", \"support\": 26244, \"support_share\": 0.20192196720806949, \"support_rank\": 1}, {\"value_label\": \"Roger Voss\", \"support\": 25514, \"support_share\": 0.1963053296504605, \"support_rank\": 2}, {\"value_label\": \"Michael Schachner\", \"support\": 15134, \"support_share\": 0.11644135999569134, \"support_rank\": 3}, {\"value_label\": \"Kerin O’Keefe\", \"support\": 10776, \"support_share\": 0.08291080317917074, \"support_rank\": 4}, {\"value_label\": \"Virginie Boone\", \"support\": 9537, \"support_share\": 0.07337790737933847, \"support_rank\": 5}, {\"value_label\": \"Paul Gregutt\", \"support\": 9532, \"support_share\": 0.07333943725908088, \"support_rank\": 6}, {\"value_label\": \"Matt Kettmann\", \"support\": 6332, \"support_share\": 0.04871856029421948, \"support_rank\": 7}, {\"value_label\": \"Joe Czerwinski\", \"support\": 5147, \"support_share\": 0.039601141793169245, \"support_rank\": 8}, {\"value_label\": \"Sean P. Sullivan\", \"support\": 4966, \"support_share\": 0.03820852343984427, \"support_rank\": 9}, {\"value_label\": \"Anna Lee C. Iijima\", \"support\": 4415, \"support_share\": 0.0339691161874572, \"support_rank\": 10}, {\"value_label\": \"Jim Gordon\", \"support\": 4177, \"support_share\": 0.03213793846319564, \"support_rank\": 11}, {\"value_label\": \"Anne Krebiehl MW\", \"support\": 3685, \"support_share\": 0.0283524786298482, \"support_rank\": 12}, {\"value_label\": \"Lauren Buzzeo\", \"support\": 1835, \"support_share\": 0.014118534134537704, \"support_rank\": 13}, {\"value_label\": \"Susan Kostrzewa\", \"support\": 1085, \"support_share\": 0.008348016095898315, \"support_rank\": 14}, {\"value_label\": \"Mike DeSimone\", \"support\": 514, \"support_share\": 0.0039547283624808615, \"support_rank\": 15}, {\"value_label\": \"Jeff Jenssen\", \"support\": 491, \"support_share\": 0.00377776580929592, \"support_rank\": 16}, {\"value_label\": \"Alexander Peartree\", \"support\": 415, \"support_share\": 0.0031930199813804618, \"support_rank\": 17}, {\"value_label\": \"Carrie Dykes\", \"support\": 139, \"support_share\": 0.0010694693431611668, \"support_rank\": 18}, {\"value_label\": \"Fiona Adams\", \"support\": 27, \"support_share\": 0.000207738649391018, \"support_rank\": 19}, {\"value_label\": \"Christina Pickard\", \"support\": 6, \"support_share\": 4.616414430911511e-05, \"support_rank\": 20}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 74.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..27ff252d5f4e00d2d3f94356aea18eca58806e87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T16:08:25.996109+00:00", + "ended_at": "2026-05-19T16:08:26.072061+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_f340578bf1eb5c6c", + "problem_id": "v2p_c18_e2710ec43a9c7b7e", + "dataset_id": "c18", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=taster_name.", + "bindings": { + "group_col": "taster_name" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_f340578bf1eb5c6c.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f340578bf1eb5c6c/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bac495c7ede31ae8921a9d2472cfbe56af5f4cb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=price, group_col_2=region_2. +Result preview: [{"price": "", "region_2": "", "row_count": 902}, {"price": "20.0", "region_2": "", "row_count": 584}, {"price": "25.0", "region_2": "", "row_count": 489}, {"price": "30.0", "region_2": "", "row_count": 441}, {"price": "15.0", "region_2": "", "row_count": 422}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9e474f51217d4f7a33393a270fe042abea7be59c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: c18 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_c18_f78c1e2fa20e9f84 +-- problem_id: v2p_c18_030eb87122694b8e +-- realization_mode: agent +-- source_kind: agent +SELECT "price", "region_2", COUNT(*) AS "row_count" +FROM "c18" +WHERE "taster_name" = 'Kerin O’Keefe' +GROUP BY "price", "region_2" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a05d8832d21648b8eb354160ac6e0874837c30b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"price\", \"region_2\", \"row_count\"], \"rows\": [{\"price\": \"\", \"region_2\": \"\", \"row_count\": 902}, {\"price\": \"20.0\", \"region_2\": \"\", \"row_count\": 584}, {\"price\": \"25.0\", \"region_2\": \"\", \"row_count\": 489}, {\"price\": \"30.0\", \"region_2\": \"\", \"row_count\": 441}, {\"price\": \"15.0\", \"region_2\": \"\", \"row_count\": 422}, {\"price\": \"18.0\", \"region_2\": \"\", \"row_count\": 376}, {\"price\": \"40.0\", \"region_2\": \"\", \"row_count\": 374}, {\"price\": \"50.0\", \"region_2\": \"\", \"row_count\": 367}, {\"price\": \"45.0\", \"region_2\": \"\", \"row_count\": 308}, {\"price\": \"35.0\", \"region_2\": \"\", \"row_count\": 307}, {\"price\": \"60.0\", \"region_2\": \"\", \"row_count\": 298}, {\"price\": \"19.0\", \"region_2\": \"\", \"row_count\": 294}, {\"price\": \"16.0\", \"region_2\": \"\", \"row_count\": 282}, {\"price\": \"22.0\", \"region_2\": \"\", \"row_count\": 275}, {\"price\": \"17.0\", \"region_2\": \"\", \"row_count\": 249}, {\"price\": \"28.0\", \"region_2\": \"\", \"row_count\": 197}, {\"price\": \"24.0\", \"region_2\": \"\", \"row_count\": 187}, {\"price\": \"55.0\", \"region_2\": \"\", \"row_count\": 184}, {\"price\": \"70.0\", \"region_2\": \"\", \"row_count\": 182}, {\"price\": \"14.0\", \"region_2\": \"\", \"row_count\": 180}, {\"price\": \"13.0\", \"region_2\": \"\", \"row_count\": 179}, {\"price\": \"23.0\", \"region_2\": \"\", \"row_count\": 175}, {\"price\": \"65.0\", \"region_2\": \"\", \"row_count\": 167}, {\"price\": \"75.0\", \"region_2\": \"\", \"row_count\": 154}, {\"price\": \"29.0\", \"region_2\": \"\", \"row_count\": 150}, {\"price\": \"80.0\", \"region_2\": \"\", \"row_count\": 140}, {\"price\": \"26.0\", \"region_2\": \"\", \"row_count\": 133}, {\"price\": \"21.0\", \"region_2\": \"\", \"row_count\": 125}, {\"price\": \"12.0\", \"region_2\": \"\", \"row_count\": 122}, {\"price\": \"90.0\", \"region_2\": \"\", \"row_count\": 106}, {\"price\": \"32.0\", \"region_2\": \"\", \"row_count\": 102}, {\"price\": \"38.0\", \"region_2\": \"\", \"row_count\": 100}, {\"price\": \"10.0\", \"region_2\": \"\", \"row_count\": 99}, {\"price\": \"27.0\", \"region_2\": \"\", \"row_count\": 87}, {\"price\": \"48.0\", \"region_2\": \"\", \"row_count\": 81}, {\"price\": \"33.0\", \"region_2\": \"\", \"row_count\": 74}, {\"price\": \"39.0\", \"region_2\": \"\", \"row_count\": 74}, {\"price\": \"42.0\", \"region_2\": \"\", \"row_count\": 72}, {\"price\": \"49.0\", \"region_2\": \"\", \"row_count\": 70}, {\"price\": \"36.0\", \"region_2\": \"\", \"row_count\": 69}, {\"price\": \"34.0\", \"region_2\": \"\", \"row_count\": 61}, {\"price\": \"11.0\", \"region_2\": \"\", \"row_count\": 59}, {\"price\": \"37.0\", \"region_2\": \"\", \"row_count\": 56}, {\"price\": \"100.0\", \"region_2\": \"\", \"row_count\": 54}, {\"price\": \"52.0\", \"region_2\": \"\", \"row_count\": 53}, {\"price\": \"85.0\", \"region_2\": \"\", \"row_count\": 49}, {\"price\": \"43.0\", \"region_2\": \"\", \"row_count\": 44}, {\"price\": \"120.0\", \"region_2\": \"\", \"row_count\": 43}, {\"price\": \"95.0\", \"region_2\": \"\", \"row_count\": 42}, {\"price\": \"46.0\", \"region_2\": \"\", \"row_count\": 38}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 36.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cfb90720caacfd0c949e6b532a7645f83d07111d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "c18", + "started_at": "2026-05-19T15:45:19.099699+00:00", + "ended_at": "2026-05-19T15:45:29.138786+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c18_f78c1e2fa20e9f84", + "problem_id": "v2p_c18_030eb87122694b8e", + "dataset_id": "c18", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=price, group_col_2=region_2.", + "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 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=54" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_f78c1e2fa20e9f84.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cde792b0d317ea9f3d4474c3e950e50c08a0609c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:29.101042+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9977.43, "started_at": "2026-05-19T15:45:19.122760+00:00", "ended_at": "2026-05-19T15:45:29.100236+00:00", "prompt_metrics": {"chars": 10217, "bytes_utf8": 10223, "lines": 268, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c48fb3f19d6ec3e6a7469de3590a215fe8916ee6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_f78c1e2fa20e9f84/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_fb913b60d4e2909d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..53b103f9681db2eb1e1cb3ebf9a804bcf3f6c846 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9894, "bytes_utf8": 9898, "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": 14857, "cached_input_tokens": 12032, "output_tokens": 275, "reasoning_output_tokens": 175}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e743c31eabcbb4629d44f0939a3a482510daaad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_fb913b60d4e2909d", + "api_calls": 0, + "input_tokens": 14857, + "cached_input_tokens": 12032, + "output_tokens": 275, + "total_tokens": 15132, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9203.95, + "sql_execution_elapsed_ms_total": 79.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/conversation.jsonl", + "note": "Executed through a 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_fb913b60d4e2909d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7487629d69494c0fa920078fbe3767c4dedb7be1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:18.664446+00:00", + "ended_at": "2026-05-19T16:05:27.868428+00:00", + "elapsed_ms": 9203.95, + "prompt_metrics": { + "chars": 9894, + "bytes_utf8": 9898, + "lines": 262, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 688, + "bytes_utf8": 688, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 327, + "bytes_utf8": 327, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14857, + "cached_input_tokens": 12032, + "output_tokens": 275, + "reasoning_output_tokens": 175 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_fb913b60d4e2909d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..150cbe8212f1f993ad6e1afd5ea4d8e8b2594419 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/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=taster_name.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "taster_name", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_fb913b60d4e2909d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c74547eadc276406a862d8404076776a3883ad41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-05d0-7670-9caa-6485db670a83"} +{"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 \\\"taster_name\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_name\\\"\\nORDER BY \\\"support\\\" ASC, \\\"taster_name\\\"\\nLIMIT 13;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"taster_name\\\" and top_k set to 13.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14857,"cached_input_tokens":12032,"output_tokens":275,"reasoning_output_tokens":175}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58a84cbd387c06ae2c298904ca5a8b45d5aa22b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"taster_name\",\n COUNT(*) AS \"support\"\nFROM \"c18\"\nGROUP BY \"taster_name\"\nORDER BY \"support\" ASC, \"taster_name\"\nLIMIT 13;","notes":"Uses the Low-Support Group Count template with group_col bound to \"taster_name\" and top_k set to 13."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fb913b60d4e2909d/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_fc55633d2c83ebf3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..311b96bf8c219853b778b4487280758e08dd1180 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10100, "bytes_utf8": 10104, "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": 1450, "bytes_utf8": 1450, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14890, "cached_input_tokens": 13696, "output_tokens": 2297, "reasoning_output_tokens": 1873}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c9551bf416bb0c87f0b36f449953d447cb79973 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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_fc55633d2c83ebf3", + "api_calls": 0, + "input_tokens": 14890, + "cached_input_tokens": 13696, + "output_tokens": 2297, + "total_tokens": 17187, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33848.77, + "sql_execution_elapsed_ms_total": 268.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/conversation.jsonl", + "note": "Executed through a 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_fc55633d2c83ebf3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c52696fbf6ea9dfded18f4eeeee3eb19579a7794 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:35.013045+00:00", + "ended_at": "2026-05-19T15:52:08.861853+00:00", + "elapsed_ms": 33848.77, + "prompt_metrics": { + "chars": 10100, + "bytes_utf8": 10104, + "lines": 264, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1956, + "bytes_utf8": 1956, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1450, + "bytes_utf8": 1450, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14890, + "cached_input_tokens": 13696, + "output_tokens": 2297, + "reasoning_output_tokens": 1873 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_fc55633d2c83ebf3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0aff93269767537b29d229455fb5ddb404f8efaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/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=row_id.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "taster_twitter_handle", + "measure_col": "row_id", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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_fc55633d2c83ebf3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..17b36b1129f77676c6e77ea3a673fe613a5c5913 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-746c-7a70-bb36-7965522766ee"} +{"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 \\\"taster_twitter_handle\\\",\\n CAST(\\\"row_id\\\" AS INTEGER) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"taster_twitter_handle\\\"\\n ORDER BY CAST(\\\"row_id\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"taster_twitter_handle\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c18\\\"\\n WHERE \\\"taster_twitter_handle\\\" IS NOT NULL\\n AND \\\"taster_twitter_handle\\\" <> ''\\n AND \\\"row_id\\\" IS NOT NULL\\n AND \\\"row_id\\\" <> ''\\n),\\n\\\"eligible\\\" AS (\\n SELECT\\n \\\"taster_twitter_handle\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST((0.95 * \\\"cnt\\\") AS INTEGER) + CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"taster_twitter_handle\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"eligible\\\"\\nWHERE \\\"rn\\\" >= \\\"target_rn\\\"\\nGROUP BY \\\"taster_twitter_handle\\\"\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 14;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank approximation for the 95th percentile of CAST(\\\"row_id\\\" AS INTEGER) within each \\\"taster_twitter_handle\\\" group, excludes blank/null group and measure values, applies the minimum group size of 5, and returns the top 14 groups by descending percentile value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14890,"cached_input_tokens":13696,"output_tokens":2297,"reasoning_output_tokens":1873}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9359cc47a799923392eac637023f08491a332aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"taster_twitter_handle\",\n CAST(\"row_id\" AS INTEGER) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"taster_twitter_handle\"\n ORDER BY CAST(\"row_id\" AS INTEGER)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"taster_twitter_handle\"\n ) AS \"cnt\"\n FROM \"c18\"\n WHERE \"taster_twitter_handle\" IS NOT NULL\n AND \"taster_twitter_handle\" <> ''\n AND \"row_id\" IS NOT NULL\n AND \"row_id\" <> ''\n),\n\"eligible\" AS (\n SELECT\n \"taster_twitter_handle\",\n \"measure_value\",\n \"rn\",\n \"cnt\",\n CAST((0.95 * \"cnt\") AS INTEGER) + CASE\n WHEN (0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER) THEN 1\n ELSE 0\n END AS \"target_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"taster_twitter_handle\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"eligible\"\nWHERE \"rn\" >= \"target_rn\"\nGROUP BY \"taster_twitter_handle\"\nORDER BY \"percentile_measure\" DESC\nLIMIT 14;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank approximation for the 95th percentile of CAST(\"row_id\" AS INTEGER) within each \"taster_twitter_handle\" group, excludes blank/null group and measure values, applies the minimum group size of 5, and returns the top 14 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_fc55633d2c83ebf3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_fc55633d2c83ebf3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391