diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7955d455a85b4343daea11d48ce2402bace86c49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/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": "2026-05-19T16:21:39.600730+00:00", + "ended_at": "2026-05-19T16:21:42.532076+00:00", + "elapsed_ms": 2931.32, + "returncode": 1, + "prompt_metrics": { + "chars": 6192, + "bytes_utf8": 6192, + "lines": 183, + "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_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3ba4f4f0d3c4a4e5d8c9b9267407d9065e027cbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/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": "2026-05-19T16:21:43.533590+00:00", + "ended_at": "2026-05-19T16:21:47.072371+00:00", + "elapsed_ms": 3538.75, + "returncode": 1, + "prompt_metrics": { + "chars": 6192, + "bytes_utf8": 6192, + "lines": 183, + "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_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..53b3fdb3552e12ab09fe07bc4d2b05f0d17766a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=black_piece0_strength, condition_col=white_piece0_file.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "black_piece0_strength", + "condition_col": "white_piece0_file", + "condition_value": "0", + "positive_value": "0", + "negative_value": "6", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..53b3fdb3552e12ab09fe07bc4d2b05f0d17766a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=black_piece0_strength, condition_col=white_piece0_file.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "black_piece0_strength", + "condition_col": "white_piece0_file", + "condition_value": "0", + "positive_value": "0", + "negative_value": "6", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'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_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c938fc969c3989cdfd93836c7027c1d60327472 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-fda1-7701-9195-e524e66bceb0"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8903c93162719f4aa5c9fc36c9a4195cafac4f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410a-fda1-7701-9195-e524e66bceb0"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1005529c01a72cbe9527ef1bab803b078c200419 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-0ce8-7372-afb5-409d20e86f0c"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4de4d63e3ae364d130f36c1f935a1612fffa576 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410b-0ce8-7372-afb5-409d20e86f0c"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_33c27122fa42e022/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7d06830e2aaf9aca03b8dc046d977c1c301e09af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/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": "2026-05-19T16:17:31.643624+00:00", + "ended_at": "2026-05-19T16:17:34.775648+00:00", + "elapsed_ms": 3131.98, + "returncode": 1, + "prompt_metrics": { + "chars": 6125, + "bytes_utf8": 6125, + "lines": 180, + "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_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..27d38c0902998a9ef9d4d94e8d97f2b07e1e9118 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/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": "2026-05-19T16:17:35.778370+00:00", + "ended_at": "2026-05-19T16:17:39.162906+00:00", + "elapsed_ms": 3384.47, + "returncode": 1, + "prompt_metrics": { + "chars": 6125, + "bytes_utf8": 6125, + "lines": 180, + "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_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..111716c924452cad7064e46cdc1ad9cafdaf4e05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=white_piece0_file, measure_col=white_piece0_file.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "white_piece0_file", + "measure_col": "white_piece0_file", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..111716c924452cad7064e46cdc1ad9cafdaf4e05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=white_piece0_file, measure_col=white_piece0_file.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "white_piece0_file", + "measure_col": "white_piece0_file", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7b7df8449690cbf4b39459fadd4a9570ddb6826 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-359a-7793-85c9-42dade7c63db"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ddc19496c2c2b772640697928040a1e32c692cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-359a-7793-85c9-42dade7c63db"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c86f4f99ebf8d89bf29468f5afb110e37eefed5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-459a-7a92-8306-b4448b084f62"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e930d6e25be4400a3a8c7a6d728ee70c5338ab47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4107-459a-7a92-8306-b4448b084f62"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_4428df049d124fdb/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9adc807b2b8771de451ee277b9c221c9cac4fbdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/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": "2026-05-19T16:26:44.562358+00:00", + "ended_at": "2026-05-19T16:26:49.096928+00:00", + "elapsed_ms": 4534.5, + "returncode": 1, + "prompt_metrics": { + "chars": 5919, + "bytes_utf8": 5919, + "lines": 178, + "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_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6c0422d7091d04e106cae350c742570b749c841 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=white_piece0_file.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "white_piece0_file", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6c0422d7091d04e106cae350c742570b749c841 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=white_piece0_file.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "white_piece0_file", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca496c0e333bcc07aaa4d5542b2b1e09ea29b296 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-a55e-7572-be99-71964136ac5c"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac80c30428282813d27ae5c3d1e6f3b9c2d5a45f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-a55e-7572-be99-71964136ac5c"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bfb1d88acaabc96db265a83e85e141a0a529447e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e410f-baee-7840-b2cd-9019e0d74413"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5fd8588b7ef393f9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3457fb57dcdbd7762f8e39ae2da7fd157e1b4eca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5950, "bytes_utf8": 5950, "lines": 180, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 13807, "cached_input_tokens": 12032, "output_tokens": 404, "reasoning_output_tokens": 291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..62661689c8390d99bf8e2260f405c1b133129a86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "c20", + "model": "v2-cli:codex", + "run_id": "v2q_c20_69504ca2e85e14cb", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12032, + "output_tokens": 404, + "total_tokens": 14211, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9879.95, + "sql_execution_elapsed_ms_total": 14.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..96de13e58c3b011e1271bf6ebccdd0d585a7ad9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/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": "2026-05-19T16:04:55.432073+00:00", + "ended_at": "2026-05-19T16:05:05.312042+00:00", + "elapsed_ms": 9879.95, + "prompt_metrics": { + "chars": 5950, + "bytes_utf8": 5950, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 787, + "bytes_utf8": 787, + "lines": 4, + "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": 13807, + "cached_input_tokens": 12032, + "output_tokens": 404, + "reasoning_output_tokens": 291 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5559c860314bf7d1ab30b2aba7f976a3e72805d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=black_piece0_rank, measure_col=black_piece0_rank.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "black_piece0_rank", + "measure_col": "black_piece0_rank", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9403dc955787fc403efdf553d9808ff285798037 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ab15-7091-822b-587a060c95c3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"black_piece0_rank\\\", SUM(CAST(\\\"black_piece0_rank\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c20\\\"\\nGROUP BY \\\"black_piece0_rank\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col and measure_col both bound to \\\"black_piece0_rank\\\". CAST is applied because the schema stores numeric-discrete values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13807,"cached_input_tokens":12032,"output_tokens":404,"reasoning_output_tokens":291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c020d833dff5e864aec8964843c00d2efa0a522 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"black_piece0_rank\", SUM(CAST(\"black_piece0_rank\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c20\"\nGROUP BY \"black_piece0_rank\"\nORDER BY \"total_measure\" DESC;","notes":"Used the provided Grouped Numeric Sum template with group_col and measure_col both bound to \"black_piece0_rank\". CAST is applied because the schema stores numeric-discrete values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_69504ca2e85e14cb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7c84b8d59671c9d8ee9244936d6eed9c6dad71a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/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": "2026-05-19T16:28:45.529059+00:00", + "ended_at": "2026-05-19T16:28:48.766697+00:00", + "elapsed_ms": 3237.6, + "returncode": 1, + "prompt_metrics": { + "chars": 6041, + "bytes_utf8": 6041, + "lines": 180, + "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_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..68c3d5e08caa4fbb566a3878621966207b8875e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/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": "2026-05-19T16:28:49.769059+00:00", + "ended_at": "2026-05-19T16:28:52.804720+00:00", + "elapsed_ms": 3035.6, + "returncode": 1, + "prompt_metrics": { + "chars": 6041, + "bytes_utf8": 6041, + "lines": 180, + "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_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7396d88a56cd27e34ee1da0ddcdb369a5098db11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=black_piece0_rank, measure_col=white_piece0_strength.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "black_piece0_rank", + "measure_col": "white_piece0_strength", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7396d88a56cd27e34ee1da0ddcdb369a5098db11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=black_piece0_rank, measure_col=white_piece0_strength.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "black_piece0_rank", + "measure_col": "white_piece0_strength", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a44d96c88196ef26d8d336c0fed67947f23cb2dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-7dc4-7981-9c03-9996bbe8e290"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd43bd287063536c4281586947e29751bed51270 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-7dc4-7981-9c03-9996bbe8e290"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fbf74f2973ecf35744b41f48c06864282b4d4fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-8e60-7f71-9c3f-0bd458a47f00"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8a8b1fe5817f5bcf579c240f761700c19503481 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4111-8e60-7f71-9c3f-0bd458a47f00"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6b824c65b1aee364/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..efeee236dbccd02c1c77ebf712d4798c7ef88716 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/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": "2026-05-19T16:19:48.232240+00:00", + "ended_at": "2026-05-19T16:19:50.958094+00:00", + "elapsed_ms": 2725.83, + "returncode": 1, + "prompt_metrics": { + "chars": 6133, + "bytes_utf8": 6133, + "lines": 180, + "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_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c4a387a411c175649c269b8a0680a5fdc0dac465 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/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": "2026-05-19T16:19:51.959909+00:00", + "ended_at": "2026-05-19T16:19:55.199342+00:00", + "elapsed_ms": 3239.38, + "returncode": 1, + "prompt_metrics": { + "chars": 6133, + "bytes_utf8": 6133, + "lines": 180, + "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_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9f980dfc9188f28f8f18dbbc2462441a8a83b86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=white_piece0_rank, measure_col=black_piece0_strength.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "white_piece0_rank", + "measure_col": "black_piece0_strength", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9f980dfc9188f28f8f18dbbc2462441a8a83b86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=white_piece0_rank, measure_col=black_piece0_strength.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "white_piece0_rank", + "measure_col": "black_piece0_strength", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..52c2893c927d2ca756dcd2619ab4b15fa0e44cf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-4a86-7cd1-a004-188ed2b896d3"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f9b52a0fd9bd25de900d439dcbc45a7c2248720 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-591c-7973-ae58-cc4e23f1bdb6"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad96f96fe451152b6092200aaf263775485da7b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-591c-7973-ae58-cc4e23f1bdb6"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7446ba970c53813f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7b6ee016c5217f96/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7b6ee016c5217f96/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bf092f2ada2e1f4b1688e7e26fa7bfa9cab3401d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7b6ee016c5217f96/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:11:35.123595+00:00", + "ended_at": "2026-05-19T16:11:38.331092+00:00", + "elapsed_ms": 3207.47, + "returncode": 1, + "prompt_metrics": { + "chars": 6753, + "bytes_utf8": 6753, + "lines": 183, + "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_e/c20/artifacts/v2q_c20_7b6ee016c5217f96/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_7b6ee016c5217f96/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..535b20307d68ce0e77da942cd25afae417cd69b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/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": "2026-05-19T16:28:06.679700+00:00", + "ended_at": "2026-05-19T16:28:10.044904+00:00", + "elapsed_ms": 3365.17, + "returncode": 1, + "prompt_metrics": { + "chars": 6042, + "bytes_utf8": 6042, + "lines": 180, + "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_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..65129c7aee3cdf5a77f8f865d1336e1edbb9a958 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/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": "2026-05-19T16:28:11.047395+00:00", + "ended_at": "2026-05-19T16:28:14.605082+00:00", + "elapsed_ms": 3557.54, + "returncode": 1, + "prompt_metrics": { + "chars": 6042, + "bytes_utf8": 6042, + "lines": 180, + "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_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f28e45b8ff7eae0f22d2aebda20179cae7f3e668 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=black_piece0_strength, measure_col=black_piece0_file.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "black_piece0_strength", + "measure_col": "black_piece0_file", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f28e45b8ff7eae0f22d2aebda20179cae7f3e668 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=black_piece0_strength, measure_col=black_piece0_file.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "black_piece0_strength", + "measure_col": "black_piece0_file", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f84b50a38359998b59ee736c9d7331806ebd29f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-e60d-76a1-853d-56da196ea6ec"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf77af9fc7e61b435c666e73a6edd0ffaa1709fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-e60d-76a1-853d-56da196ea6ec"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ad2220ca6b469c752eac81217a5190e76884bbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-f718-7320-bf9a-d135388d3b05"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..211a48b4303c757367d61a30378c8cd0514bbf08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4110-f718-7320-bf9a-d135388d3b05"} +{"type":"turn.started"} +{"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_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_a485fa549456da94/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c445ac19fde3ce2c12331258ee447013ac32657f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/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": "2026-05-19T16:20:14.110765+00:00", + "ended_at": "2026-05-19T16:20:17.037843+00:00", + "elapsed_ms": 2927.04, + "returncode": 1, + "prompt_metrics": { + "chars": 6195, + "bytes_utf8": 6195, + "lines": 183, + "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_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cbb35ea3911081d96f3bd83495f2771e876be2a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/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": "2026-05-19T16:20:18.040048+00:00", + "ended_at": "2026-05-19T16:20:24.453878+00:00", + "elapsed_ms": 6413.78, + "returncode": 1, + "prompt_metrics": { + "chars": 6195, + "bytes_utf8": 6195, + "lines": 183, + "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_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcdcd76692a256b417db3989eeb9948f06c58af5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=black_piece0_rank, condition_col=white_piece0_file.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "black_piece0_rank", + "condition_col": "white_piece0_file", + "condition_value": "6", + "positive_value": "0", + "negative_value": "6", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcdcd76692a256b417db3989eeb9948f06c58af5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: c20 +- dataset_name: C20 +- table_name: c20 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 6 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 44819 +- important_fields: +- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength. +- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file. +- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank. +- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength. +- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file. +- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank. +- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://www.openml.org/d/41027 + +SQLite schema snapshot: +{ + "table_name": "c20", + "quoted_table_name": "\"c20\"", + "row_count": 44819, + "columns": [ + { + "name": "white_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "white_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_strength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_file", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "black_piece0_rank", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "white_piece0_strength": "0", + "white_piece0_file": "1", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "2", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "4", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "5", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + }, + { + "white_piece0_strength": "0", + "white_piece0_file": "6", + "white_piece0_rank": "8", + "black_piece0_strength": "0", + "black_piece0_file": "0", + "black_piece0_rank": "8", + "class": "w" + } + ] +} + +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": "c20", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=black_piece0_rank, condition_col=white_piece0_file.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "black_piece0_rank", + "condition_col": "white_piece0_file", + "condition_value": "6", + "positive_value": "0", + "negative_value": "6", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bf19c0ff5773b1e471c7e39158db449017e99f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_ddb3cafc026c4a1e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4109-af97-72e1-b288-4ded4d6ac175"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. 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