Add files using upload-large-folder tool
Browse files- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_80dca7b0a8d303f5/cli/conversation.jsonl +2 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_80dca7b0a8d303f5/cli/sql_attempt_1.metadata.json +45 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_80dca7b0a8d303f5/cli/sql_response_attempt_1.txt +1 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_attempt_1.metadata.json +43 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_attempt_2.metadata.json +43 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_prompt_attempt_1.txt +180 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_prompt_attempt_2.txt +180 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_response_attempt_1.raw.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_response_attempt_1.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_response_attempt_2.raw.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_response_attempt_2.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_stderr_attempt_1.txt +0 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_stderr_attempt_2.txt +0 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_attempt_1.metadata.json +43 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_prompt_attempt_1.txt +180 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_prompt_attempt_2.txt +180 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_response_attempt_1.raw.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_response_attempt_1.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_response_attempt_2.raw.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_stderr_attempt_1.txt +0 -0
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_80dca7b0a8d303f5/cli/conversation.jsonl
ADDED
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{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6369, "bytes_utf8": 6369, "lines": 182, "estimated_tokens": null}}
|
| 2 |
+
{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 700, "bytes_utf8": 700, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13928, "cached_input_tokens": 12032, "output_tokens": 714, "reasoning_output_tokens": 516}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_80dca7b0a8d303f5/cli/sql_attempt_1.metadata.json
ADDED
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@@ -0,0 +1,45 @@
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{
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| 2 |
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"attempt": 1,
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"phase": "sql_generation",
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"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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| 5 |
+
"started_at": "2026-05-19T16:09:12.835142+00:00",
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+
"ended_at": "2026-05-19T16:09:26.505897+00:00",
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| 7 |
+
"elapsed_ms": 13670.73,
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+
"prompt_metrics": {
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| 9 |
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"chars": 6369,
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"bytes_utf8": 6369,
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"lines": 182,
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"estimated_tokens": null
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},
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"stdout_metrics": {
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"chars": 1084,
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"bytes_utf8": 1084,
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"lines": 4,
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"estimated_tokens": null
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},
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"stderr_metrics": {
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| 21 |
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"chars": 0,
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| 22 |
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"bytes_utf8": 0,
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| 23 |
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"lines": 0,
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| 24 |
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"estimated_tokens": null
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},
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| 26 |
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"parsed_output": {
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| 27 |
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"format": "jsonl_events",
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| 28 |
+
"text_metrics": {
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| 29 |
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"chars": 700,
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| 30 |
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"bytes_utf8": 700,
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"lines": 1,
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"estimated_tokens": null
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| 33 |
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},
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| 34 |
+
"usage": {
|
| 35 |
+
"input_tokens": 13928,
|
| 36 |
+
"cached_input_tokens": 12032,
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| 37 |
+
"output_tokens": 714,
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| 38 |
+
"reasoning_output_tokens": 516
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| 39 |
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}
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| 40 |
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},
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| 41 |
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"prompt_path": "cli/sql_prompt_attempt_1.txt",
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| 42 |
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"response_path": "cli/sql_response_attempt_1.txt",
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| 43 |
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"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
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| 44 |
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"stderr_path": "cli/sql_stderr_attempt_1.txt"
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| 45 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_80dca7b0a8d303f5/cli/sql_response_attempt_1.txt
ADDED
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@@ -0,0 +1 @@
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| 1 |
+
{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"white_piece0_file\",\n \"white_piece0_rank\",\n SUM(CAST(\"black_piece0_rank\" AS REAL)) AS total_measure,\n SUM(CAST(\"black_piece0_rank\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"black_piece0_rank\" AS REAL))) OVER (PARTITION BY \"white_piece0_file\") AS share_within_group\nFROM \"c20\"\nGROUP BY \"white_piece0_file\", \"white_piece0_rank\"\nORDER BY share_within_group DESC\nLIMIT 19;","notes":"Uses the requested Within-Group Share of Total template with group_col=\"white_piece0_file\", item_col=\"white_piece0_rank\", and measure_col=\"black_piece0_rank\". The measure is CAST to REAL because the schema stores it as TEXT."}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_attempt_1.metadata.json
ADDED
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@@ -0,0 +1,43 @@
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| 1 |
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{
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| 2 |
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"attempt": 1,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T16:18:09.851594+00:00",
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| 6 |
+
"ended_at": "2026-05-19T16:18:13.393401+00:00",
|
| 7 |
+
"elapsed_ms": 3541.76,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 6145,
|
| 11 |
+
"bytes_utf8": 6145,
|
| 12 |
+
"lines": 180,
|
| 13 |
+
"estimated_tokens": null
|
| 14 |
+
},
|
| 15 |
+
"stdout_metrics": {
|
| 16 |
+
"chars": 281,
|
| 17 |
+
"bytes_utf8": 281,
|
| 18 |
+
"lines": 4,
|
| 19 |
+
"estimated_tokens": null
|
| 20 |
+
},
|
| 21 |
+
"stderr_metrics": {
|
| 22 |
+
"chars": 0,
|
| 23 |
+
"bytes_utf8": 0,
|
| 24 |
+
"lines": 0,
|
| 25 |
+
"estimated_tokens": null
|
| 26 |
+
},
|
| 27 |
+
"parsed_output": {
|
| 28 |
+
"format": "jsonl_events",
|
| 29 |
+
"text_metrics": {
|
| 30 |
+
"chars": 280,
|
| 31 |
+
"bytes_utf8": 280,
|
| 32 |
+
"lines": 4,
|
| 33 |
+
"estimated_tokens": null
|
| 34 |
+
},
|
| 35 |
+
"usage": {}
|
| 36 |
+
},
|
| 37 |
+
"status": "failed",
|
| 38 |
+
"error": "AI CLI command failed with exit code 1: ",
|
| 39 |
+
"prompt_path": "cli/sql_prompt_attempt_1.txt",
|
| 40 |
+
"response_path": "cli/sql_response_attempt_1.txt",
|
| 41 |
+
"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
|
| 42 |
+
"stderr_path": "cli/sql_stderr_attempt_1.txt"
|
| 43 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_attempt_2.metadata.json
ADDED
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@@ -0,0 +1,43 @@
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| 1 |
+
{
|
| 2 |
+
"attempt": 2,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T16:18:14.395659+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:18:17.408879+00:00",
|
| 7 |
+
"elapsed_ms": 3013.17,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 6145,
|
| 11 |
+
"bytes_utf8": 6145,
|
| 12 |
+
"lines": 180,
|
| 13 |
+
"estimated_tokens": null
|
| 14 |
+
},
|
| 15 |
+
"stdout_metrics": {
|
| 16 |
+
"chars": 281,
|
| 17 |
+
"bytes_utf8": 281,
|
| 18 |
+
"lines": 4,
|
| 19 |
+
"estimated_tokens": null
|
| 20 |
+
},
|
| 21 |
+
"stderr_metrics": {
|
| 22 |
+
"chars": 0,
|
| 23 |
+
"bytes_utf8": 0,
|
| 24 |
+
"lines": 0,
|
| 25 |
+
"estimated_tokens": null
|
| 26 |
+
},
|
| 27 |
+
"parsed_output": {
|
| 28 |
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"format": "jsonl_events",
|
| 29 |
+
"text_metrics": {
|
| 30 |
+
"chars": 280,
|
| 31 |
+
"bytes_utf8": 280,
|
| 32 |
+
"lines": 4,
|
| 33 |
+
"estimated_tokens": null
|
| 34 |
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},
|
| 35 |
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"usage": {}
|
| 36 |
+
},
|
| 37 |
+
"status": "failed",
|
| 38 |
+
"error": "AI CLI command failed with exit code 1: ",
|
| 39 |
+
"prompt_path": "cli/sql_prompt_attempt_2.txt",
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| 40 |
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"response_path": "cli/sql_response_attempt_2.txt",
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| 41 |
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"raw_response_path": "cli/sql_response_attempt_2.raw.txt",
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| 42 |
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"stderr_path": "cli/sql_stderr_attempt_2.txt"
|
| 43 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_prompt_attempt_1.txt
ADDED
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@@ -0,0 +1,180 @@
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| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
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| 2 |
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Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
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| 3 |
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Rules:
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| 4 |
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- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: c20
|
| 15 |
+
- dataset_name: C20
|
| 16 |
+
- table_name: c20
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: class
|
| 21 |
+
- main_row_count: 44819
|
| 22 |
+
- important_fields:
|
| 23 |
+
- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
|
| 24 |
+
- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
|
| 25 |
+
- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
|
| 26 |
+
- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
|
| 27 |
+
- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
|
| 28 |
+
- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
|
| 29 |
+
- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
|
| 30 |
+
- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
|
| 31 |
+
- fields_requiring_caution: ['class']
|
| 32 |
+
- source_url: https://www.openml.org/d/41027
|
| 33 |
+
|
| 34 |
+
SQLite schema snapshot:
|
| 35 |
+
{
|
| 36 |
+
"table_name": "c20",
|
| 37 |
+
"quoted_table_name": "\"c20\"",
|
| 38 |
+
"row_count": 44819,
|
| 39 |
+
"columns": [
|
| 40 |
+
{
|
| 41 |
+
"name": "white_piece0_strength",
|
| 42 |
+
"type": "TEXT",
|
| 43 |
+
"notnull": false,
|
| 44 |
+
"pk": false
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"name": "white_piece0_file",
|
| 48 |
+
"type": "TEXT",
|
| 49 |
+
"notnull": false,
|
| 50 |
+
"pk": false
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"name": "white_piece0_rank",
|
| 54 |
+
"type": "TEXT",
|
| 55 |
+
"notnull": false,
|
| 56 |
+
"pk": false
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"name": "black_piece0_strength",
|
| 60 |
+
"type": "TEXT",
|
| 61 |
+
"notnull": false,
|
| 62 |
+
"pk": false
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"name": "black_piece0_file",
|
| 66 |
+
"type": "TEXT",
|
| 67 |
+
"notnull": false,
|
| 68 |
+
"pk": false
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"name": "black_piece0_rank",
|
| 72 |
+
"type": "TEXT",
|
| 73 |
+
"notnull": false,
|
| 74 |
+
"pk": false
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"name": "class",
|
| 78 |
+
"type": "TEXT",
|
| 79 |
+
"notnull": false,
|
| 80 |
+
"pk": false
|
| 81 |
+
}
|
| 82 |
+
],
|
| 83 |
+
"sample_rows": [
|
| 84 |
+
{
|
| 85 |
+
"white_piece0_strength": "0",
|
| 86 |
+
"white_piece0_file": "1",
|
| 87 |
+
"white_piece0_rank": "8",
|
| 88 |
+
"black_piece0_strength": "0",
|
| 89 |
+
"black_piece0_file": "0",
|
| 90 |
+
"black_piece0_rank": "8",
|
| 91 |
+
"class": "w"
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"white_piece0_strength": "0",
|
| 95 |
+
"white_piece0_file": "2",
|
| 96 |
+
"white_piece0_rank": "8",
|
| 97 |
+
"black_piece0_strength": "0",
|
| 98 |
+
"black_piece0_file": "0",
|
| 99 |
+
"black_piece0_rank": "8",
|
| 100 |
+
"class": "w"
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"white_piece0_strength": "0",
|
| 104 |
+
"white_piece0_file": "4",
|
| 105 |
+
"white_piece0_rank": "8",
|
| 106 |
+
"black_piece0_strength": "0",
|
| 107 |
+
"black_piece0_file": "0",
|
| 108 |
+
"black_piece0_rank": "8",
|
| 109 |
+
"class": "w"
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"white_piece0_strength": "0",
|
| 113 |
+
"white_piece0_file": "5",
|
| 114 |
+
"white_piece0_rank": "8",
|
| 115 |
+
"black_piece0_strength": "0",
|
| 116 |
+
"black_piece0_file": "0",
|
| 117 |
+
"black_piece0_rank": "8",
|
| 118 |
+
"class": "w"
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"white_piece0_strength": "0",
|
| 122 |
+
"white_piece0_file": "6",
|
| 123 |
+
"white_piece0_rank": "8",
|
| 124 |
+
"black_piece0_strength": "0",
|
| 125 |
+
"black_piece0_file": "0",
|
| 126 |
+
"black_piece0_rank": "8",
|
| 127 |
+
"class": "w"
|
| 128 |
+
}
|
| 129 |
+
]
|
| 130 |
+
}
|
| 131 |
+
|
| 132 |
+
Shortlisted templates:
|
| 133 |
+
[
|
| 134 |
+
{
|
| 135 |
+
"template_id": "tpl_grouped_percentile_point",
|
| 136 |
+
"template_name": "Grouped Percentile Point",
|
| 137 |
+
"primary_family": "tail_rarity_structure",
|
| 138 |
+
"portability": "yes",
|
| 139 |
+
"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;",
|
| 140 |
+
"required_roles": [
|
| 141 |
+
"group_col",
|
| 142 |
+
"measure_col"
|
| 143 |
+
]
|
| 144 |
+
}
|
| 145 |
+
]
|
| 146 |
+
|
| 147 |
+
Problem instance:
|
| 148 |
+
{
|
| 149 |
+
"dataset_id": "c20",
|
| 150 |
+
"question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=black_piece0_strength, measure_col=black_piece0_strength.",
|
| 151 |
+
"planned_template_id": "tpl_grouped_percentile_point",
|
| 152 |
+
"bindings": {
|
| 153 |
+
"group_col": "black_piece0_strength",
|
| 154 |
+
"measure_col": "black_piece0_strength",
|
| 155 |
+
"top_k": 17,
|
| 156 |
+
"top_n": 7,
|
| 157 |
+
"num_tiles": 10,
|
| 158 |
+
"percentile_value": 0.95,
|
| 159 |
+
"z_threshold": 2.0,
|
| 160 |
+
"fraction_threshold": 0.05,
|
| 161 |
+
"baseline_multiplier": 1.75,
|
| 162 |
+
"baseline_fraction": 0.1,
|
| 163 |
+
"min_group_size": 5,
|
| 164 |
+
"min_support": 4,
|
| 165 |
+
"measure_threshold": 6.0,
|
| 166 |
+
"time_grain": "month",
|
| 167 |
+
"lookback_rows": 3,
|
| 168 |
+
"current_period_start": "'2024-01-01'",
|
| 169 |
+
"current_period_end": "'2024-04-01'",
|
| 170 |
+
"previous_period_start": "'2023-10-01'",
|
| 171 |
+
"previous_period_end": "'2024-01-01'",
|
| 172 |
+
"drift_ratio_threshold": 0.8
|
| 173 |
+
},
|
| 174 |
+
"can_vary": [],
|
| 175 |
+
"must_fix": [],
|
| 176 |
+
"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;"
|
| 177 |
+
}
|
| 178 |
+
|
| 179 |
+
Repair context:
|
| 180 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_prompt_attempt_2.txt
ADDED
|
@@ -0,0 +1,180 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: c20
|
| 15 |
+
- dataset_name: C20
|
| 16 |
+
- table_name: c20
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: class
|
| 21 |
+
- main_row_count: 44819
|
| 22 |
+
- important_fields:
|
| 23 |
+
- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
|
| 24 |
+
- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
|
| 25 |
+
- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
|
| 26 |
+
- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
|
| 27 |
+
- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
|
| 28 |
+
- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
|
| 29 |
+
- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
|
| 30 |
+
- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
|
| 31 |
+
- fields_requiring_caution: ['class']
|
| 32 |
+
- source_url: https://www.openml.org/d/41027
|
| 33 |
+
|
| 34 |
+
SQLite schema snapshot:
|
| 35 |
+
{
|
| 36 |
+
"table_name": "c20",
|
| 37 |
+
"quoted_table_name": "\"c20\"",
|
| 38 |
+
"row_count": 44819,
|
| 39 |
+
"columns": [
|
| 40 |
+
{
|
| 41 |
+
"name": "white_piece0_strength",
|
| 42 |
+
"type": "TEXT",
|
| 43 |
+
"notnull": false,
|
| 44 |
+
"pk": false
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"name": "white_piece0_file",
|
| 48 |
+
"type": "TEXT",
|
| 49 |
+
"notnull": false,
|
| 50 |
+
"pk": false
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"name": "white_piece0_rank",
|
| 54 |
+
"type": "TEXT",
|
| 55 |
+
"notnull": false,
|
| 56 |
+
"pk": false
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"name": "black_piece0_strength",
|
| 60 |
+
"type": "TEXT",
|
| 61 |
+
"notnull": false,
|
| 62 |
+
"pk": false
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"name": "black_piece0_file",
|
| 66 |
+
"type": "TEXT",
|
| 67 |
+
"notnull": false,
|
| 68 |
+
"pk": false
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"name": "black_piece0_rank",
|
| 72 |
+
"type": "TEXT",
|
| 73 |
+
"notnull": false,
|
| 74 |
+
"pk": false
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"name": "class",
|
| 78 |
+
"type": "TEXT",
|
| 79 |
+
"notnull": false,
|
| 80 |
+
"pk": false
|
| 81 |
+
}
|
| 82 |
+
],
|
| 83 |
+
"sample_rows": [
|
| 84 |
+
{
|
| 85 |
+
"white_piece0_strength": "0",
|
| 86 |
+
"white_piece0_file": "1",
|
| 87 |
+
"white_piece0_rank": "8",
|
| 88 |
+
"black_piece0_strength": "0",
|
| 89 |
+
"black_piece0_file": "0",
|
| 90 |
+
"black_piece0_rank": "8",
|
| 91 |
+
"class": "w"
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"white_piece0_strength": "0",
|
| 95 |
+
"white_piece0_file": "2",
|
| 96 |
+
"white_piece0_rank": "8",
|
| 97 |
+
"black_piece0_strength": "0",
|
| 98 |
+
"black_piece0_file": "0",
|
| 99 |
+
"black_piece0_rank": "8",
|
| 100 |
+
"class": "w"
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"white_piece0_strength": "0",
|
| 104 |
+
"white_piece0_file": "4",
|
| 105 |
+
"white_piece0_rank": "8",
|
| 106 |
+
"black_piece0_strength": "0",
|
| 107 |
+
"black_piece0_file": "0",
|
| 108 |
+
"black_piece0_rank": "8",
|
| 109 |
+
"class": "w"
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"white_piece0_strength": "0",
|
| 113 |
+
"white_piece0_file": "5",
|
| 114 |
+
"white_piece0_rank": "8",
|
| 115 |
+
"black_piece0_strength": "0",
|
| 116 |
+
"black_piece0_file": "0",
|
| 117 |
+
"black_piece0_rank": "8",
|
| 118 |
+
"class": "w"
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"white_piece0_strength": "0",
|
| 122 |
+
"white_piece0_file": "6",
|
| 123 |
+
"white_piece0_rank": "8",
|
| 124 |
+
"black_piece0_strength": "0",
|
| 125 |
+
"black_piece0_file": "0",
|
| 126 |
+
"black_piece0_rank": "8",
|
| 127 |
+
"class": "w"
|
| 128 |
+
}
|
| 129 |
+
]
|
| 130 |
+
}
|
| 131 |
+
|
| 132 |
+
Shortlisted templates:
|
| 133 |
+
[
|
| 134 |
+
{
|
| 135 |
+
"template_id": "tpl_grouped_percentile_point",
|
| 136 |
+
"template_name": "Grouped Percentile Point",
|
| 137 |
+
"primary_family": "tail_rarity_structure",
|
| 138 |
+
"portability": "yes",
|
| 139 |
+
"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;",
|
| 140 |
+
"required_roles": [
|
| 141 |
+
"group_col",
|
| 142 |
+
"measure_col"
|
| 143 |
+
]
|
| 144 |
+
}
|
| 145 |
+
]
|
| 146 |
+
|
| 147 |
+
Problem instance:
|
| 148 |
+
{
|
| 149 |
+
"dataset_id": "c20",
|
| 150 |
+
"question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=black_piece0_strength, measure_col=black_piece0_strength.",
|
| 151 |
+
"planned_template_id": "tpl_grouped_percentile_point",
|
| 152 |
+
"bindings": {
|
| 153 |
+
"group_col": "black_piece0_strength",
|
| 154 |
+
"measure_col": "black_piece0_strength",
|
| 155 |
+
"top_k": 17,
|
| 156 |
+
"top_n": 7,
|
| 157 |
+
"num_tiles": 10,
|
| 158 |
+
"percentile_value": 0.95,
|
| 159 |
+
"z_threshold": 2.0,
|
| 160 |
+
"fraction_threshold": 0.05,
|
| 161 |
+
"baseline_multiplier": 1.75,
|
| 162 |
+
"baseline_fraction": 0.1,
|
| 163 |
+
"min_group_size": 5,
|
| 164 |
+
"min_support": 4,
|
| 165 |
+
"measure_threshold": 6.0,
|
| 166 |
+
"time_grain": "month",
|
| 167 |
+
"lookback_rows": 3,
|
| 168 |
+
"current_period_start": "'2024-01-01'",
|
| 169 |
+
"current_period_end": "'2024-04-01'",
|
| 170 |
+
"previous_period_start": "'2023-10-01'",
|
| 171 |
+
"previous_period_end": "'2024-01-01'",
|
| 172 |
+
"drift_ratio_threshold": 0.8
|
| 173 |
+
},
|
| 174 |
+
"can_vary": [],
|
| 175 |
+
"must_fix": [],
|
| 176 |
+
"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;"
|
| 177 |
+
}
|
| 178 |
+
|
| 179 |
+
Repair context:
|
| 180 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e4107-caca-7a20-83ae-872b25ad8880"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e4107-caca-7a20-83ae-872b25ad8880"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_response_attempt_2.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e4107-dc6a-7452-a891-2cf81fed73e6"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_response_attempt_2.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e4107-dc6a-7452-a891-2cf81fed73e6"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_b12b3034834fba60/cli/sql_stderr_attempt_2.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attempt": 1,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T16:17:55.397911+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:17:58.519348+00:00",
|
| 7 |
+
"elapsed_ms": 3121.4,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 6127,
|
| 11 |
+
"bytes_utf8": 6127,
|
| 12 |
+
"lines": 180,
|
| 13 |
+
"estimated_tokens": null
|
| 14 |
+
},
|
| 15 |
+
"stdout_metrics": {
|
| 16 |
+
"chars": 281,
|
| 17 |
+
"bytes_utf8": 281,
|
| 18 |
+
"lines": 4,
|
| 19 |
+
"estimated_tokens": null
|
| 20 |
+
},
|
| 21 |
+
"stderr_metrics": {
|
| 22 |
+
"chars": 0,
|
| 23 |
+
"bytes_utf8": 0,
|
| 24 |
+
"lines": 0,
|
| 25 |
+
"estimated_tokens": null
|
| 26 |
+
},
|
| 27 |
+
"parsed_output": {
|
| 28 |
+
"format": "jsonl_events",
|
| 29 |
+
"text_metrics": {
|
| 30 |
+
"chars": 280,
|
| 31 |
+
"bytes_utf8": 280,
|
| 32 |
+
"lines": 4,
|
| 33 |
+
"estimated_tokens": null
|
| 34 |
+
},
|
| 35 |
+
"usage": {}
|
| 36 |
+
},
|
| 37 |
+
"status": "failed",
|
| 38 |
+
"error": "AI CLI command failed with exit code 1: ",
|
| 39 |
+
"prompt_path": "cli/sql_prompt_attempt_1.txt",
|
| 40 |
+
"response_path": "cli/sql_response_attempt_1.txt",
|
| 41 |
+
"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
|
| 42 |
+
"stderr_path": "cli/sql_stderr_attempt_1.txt"
|
| 43 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_prompt_attempt_1.txt
ADDED
|
@@ -0,0 +1,180 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: c20
|
| 15 |
+
- dataset_name: C20
|
| 16 |
+
- table_name: c20
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: class
|
| 21 |
+
- main_row_count: 44819
|
| 22 |
+
- important_fields:
|
| 23 |
+
- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
|
| 24 |
+
- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
|
| 25 |
+
- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
|
| 26 |
+
- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
|
| 27 |
+
- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
|
| 28 |
+
- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
|
| 29 |
+
- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
|
| 30 |
+
- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
|
| 31 |
+
- fields_requiring_caution: ['class']
|
| 32 |
+
- source_url: https://www.openml.org/d/41027
|
| 33 |
+
|
| 34 |
+
SQLite schema snapshot:
|
| 35 |
+
{
|
| 36 |
+
"table_name": "c20",
|
| 37 |
+
"quoted_table_name": "\"c20\"",
|
| 38 |
+
"row_count": 44819,
|
| 39 |
+
"columns": [
|
| 40 |
+
{
|
| 41 |
+
"name": "white_piece0_strength",
|
| 42 |
+
"type": "TEXT",
|
| 43 |
+
"notnull": false,
|
| 44 |
+
"pk": false
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"name": "white_piece0_file",
|
| 48 |
+
"type": "TEXT",
|
| 49 |
+
"notnull": false,
|
| 50 |
+
"pk": false
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"name": "white_piece0_rank",
|
| 54 |
+
"type": "TEXT",
|
| 55 |
+
"notnull": false,
|
| 56 |
+
"pk": false
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"name": "black_piece0_strength",
|
| 60 |
+
"type": "TEXT",
|
| 61 |
+
"notnull": false,
|
| 62 |
+
"pk": false
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"name": "black_piece0_file",
|
| 66 |
+
"type": "TEXT",
|
| 67 |
+
"notnull": false,
|
| 68 |
+
"pk": false
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"name": "black_piece0_rank",
|
| 72 |
+
"type": "TEXT",
|
| 73 |
+
"notnull": false,
|
| 74 |
+
"pk": false
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"name": "class",
|
| 78 |
+
"type": "TEXT",
|
| 79 |
+
"notnull": false,
|
| 80 |
+
"pk": false
|
| 81 |
+
}
|
| 82 |
+
],
|
| 83 |
+
"sample_rows": [
|
| 84 |
+
{
|
| 85 |
+
"white_piece0_strength": "0",
|
| 86 |
+
"white_piece0_file": "1",
|
| 87 |
+
"white_piece0_rank": "8",
|
| 88 |
+
"black_piece0_strength": "0",
|
| 89 |
+
"black_piece0_file": "0",
|
| 90 |
+
"black_piece0_rank": "8",
|
| 91 |
+
"class": "w"
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"white_piece0_strength": "0",
|
| 95 |
+
"white_piece0_file": "2",
|
| 96 |
+
"white_piece0_rank": "8",
|
| 97 |
+
"black_piece0_strength": "0",
|
| 98 |
+
"black_piece0_file": "0",
|
| 99 |
+
"black_piece0_rank": "8",
|
| 100 |
+
"class": "w"
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"white_piece0_strength": "0",
|
| 104 |
+
"white_piece0_file": "4",
|
| 105 |
+
"white_piece0_rank": "8",
|
| 106 |
+
"black_piece0_strength": "0",
|
| 107 |
+
"black_piece0_file": "0",
|
| 108 |
+
"black_piece0_rank": "8",
|
| 109 |
+
"class": "w"
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"white_piece0_strength": "0",
|
| 113 |
+
"white_piece0_file": "5",
|
| 114 |
+
"white_piece0_rank": "8",
|
| 115 |
+
"black_piece0_strength": "0",
|
| 116 |
+
"black_piece0_file": "0",
|
| 117 |
+
"black_piece0_rank": "8",
|
| 118 |
+
"class": "w"
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"white_piece0_strength": "0",
|
| 122 |
+
"white_piece0_file": "6",
|
| 123 |
+
"white_piece0_rank": "8",
|
| 124 |
+
"black_piece0_strength": "0",
|
| 125 |
+
"black_piece0_file": "0",
|
| 126 |
+
"black_piece0_rank": "8",
|
| 127 |
+
"class": "w"
|
| 128 |
+
}
|
| 129 |
+
]
|
| 130 |
+
}
|
| 131 |
+
|
| 132 |
+
Shortlisted templates:
|
| 133 |
+
[
|
| 134 |
+
{
|
| 135 |
+
"template_id": "tpl_grouped_percentile_point",
|
| 136 |
+
"template_name": "Grouped Percentile Point",
|
| 137 |
+
"primary_family": "tail_rarity_structure",
|
| 138 |
+
"portability": "yes",
|
| 139 |
+
"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;",
|
| 140 |
+
"required_roles": [
|
| 141 |
+
"group_col",
|
| 142 |
+
"measure_col"
|
| 143 |
+
]
|
| 144 |
+
}
|
| 145 |
+
]
|
| 146 |
+
|
| 147 |
+
Problem instance:
|
| 148 |
+
{
|
| 149 |
+
"dataset_id": "c20",
|
| 150 |
+
"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=white_piece0_rank.",
|
| 151 |
+
"planned_template_id": "tpl_grouped_percentile_point",
|
| 152 |
+
"bindings": {
|
| 153 |
+
"group_col": "white_piece0_rank",
|
| 154 |
+
"measure_col": "white_piece0_rank",
|
| 155 |
+
"top_k": 16,
|
| 156 |
+
"top_n": 6,
|
| 157 |
+
"num_tiles": 10,
|
| 158 |
+
"percentile_value": 0.9,
|
| 159 |
+
"z_threshold": 2.0,
|
| 160 |
+
"fraction_threshold": 0.05,
|
| 161 |
+
"baseline_multiplier": 1.75,
|
| 162 |
+
"baseline_fraction": 0.1,
|
| 163 |
+
"min_group_size": 5,
|
| 164 |
+
"min_support": 4,
|
| 165 |
+
"measure_threshold": 6.0,
|
| 166 |
+
"time_grain": "month",
|
| 167 |
+
"lookback_rows": 3,
|
| 168 |
+
"current_period_start": "'2024-01-01'",
|
| 169 |
+
"current_period_end": "'2024-04-01'",
|
| 170 |
+
"previous_period_start": "'2023-10-01'",
|
| 171 |
+
"previous_period_end": "'2024-01-01'",
|
| 172 |
+
"drift_ratio_threshold": 0.8
|
| 173 |
+
},
|
| 174 |
+
"can_vary": [],
|
| 175 |
+
"must_fix": [],
|
| 176 |
+
"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;"
|
| 177 |
+
}
|
| 178 |
+
|
| 179 |
+
Repair context:
|
| 180 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_prompt_attempt_2.txt
ADDED
|
@@ -0,0 +1,180 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: c20
|
| 15 |
+
- dataset_name: C20
|
| 16 |
+
- table_name: c20
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 6 feature columns and target `class`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: class
|
| 21 |
+
- main_row_count: 44819
|
| 22 |
+
- important_fields:
|
| 23 |
+
- white_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 strength.
|
| 24 |
+
- white_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 file.
|
| 25 |
+
- white_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for white piece0 rank.
|
| 26 |
+
- black_piece0_strength: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 strength.
|
| 27 |
+
- black_piece0_file: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 file.
|
| 28 |
+
- black_piece0_rank: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for black piece0 rank.
|
| 29 |
+
- class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
|
| 30 |
+
- useful_field_combinations: [['white_piece0_strength', 'white_piece0_file', 'class'], ['white_piece0_strength', 'white_piece0_strength', 'class']]
|
| 31 |
+
- fields_requiring_caution: ['class']
|
| 32 |
+
- source_url: https://www.openml.org/d/41027
|
| 33 |
+
|
| 34 |
+
SQLite schema snapshot:
|
| 35 |
+
{
|
| 36 |
+
"table_name": "c20",
|
| 37 |
+
"quoted_table_name": "\"c20\"",
|
| 38 |
+
"row_count": 44819,
|
| 39 |
+
"columns": [
|
| 40 |
+
{
|
| 41 |
+
"name": "white_piece0_strength",
|
| 42 |
+
"type": "TEXT",
|
| 43 |
+
"notnull": false,
|
| 44 |
+
"pk": false
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"name": "white_piece0_file",
|
| 48 |
+
"type": "TEXT",
|
| 49 |
+
"notnull": false,
|
| 50 |
+
"pk": false
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"name": "white_piece0_rank",
|
| 54 |
+
"type": "TEXT",
|
| 55 |
+
"notnull": false,
|
| 56 |
+
"pk": false
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"name": "black_piece0_strength",
|
| 60 |
+
"type": "TEXT",
|
| 61 |
+
"notnull": false,
|
| 62 |
+
"pk": false
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"name": "black_piece0_file",
|
| 66 |
+
"type": "TEXT",
|
| 67 |
+
"notnull": false,
|
| 68 |
+
"pk": false
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"name": "black_piece0_rank",
|
| 72 |
+
"type": "TEXT",
|
| 73 |
+
"notnull": false,
|
| 74 |
+
"pk": false
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"name": "class",
|
| 78 |
+
"type": "TEXT",
|
| 79 |
+
"notnull": false,
|
| 80 |
+
"pk": false
|
| 81 |
+
}
|
| 82 |
+
],
|
| 83 |
+
"sample_rows": [
|
| 84 |
+
{
|
| 85 |
+
"white_piece0_strength": "0",
|
| 86 |
+
"white_piece0_file": "1",
|
| 87 |
+
"white_piece0_rank": "8",
|
| 88 |
+
"black_piece0_strength": "0",
|
| 89 |
+
"black_piece0_file": "0",
|
| 90 |
+
"black_piece0_rank": "8",
|
| 91 |
+
"class": "w"
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"white_piece0_strength": "0",
|
| 95 |
+
"white_piece0_file": "2",
|
| 96 |
+
"white_piece0_rank": "8",
|
| 97 |
+
"black_piece0_strength": "0",
|
| 98 |
+
"black_piece0_file": "0",
|
| 99 |
+
"black_piece0_rank": "8",
|
| 100 |
+
"class": "w"
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"white_piece0_strength": "0",
|
| 104 |
+
"white_piece0_file": "4",
|
| 105 |
+
"white_piece0_rank": "8",
|
| 106 |
+
"black_piece0_strength": "0",
|
| 107 |
+
"black_piece0_file": "0",
|
| 108 |
+
"black_piece0_rank": "8",
|
| 109 |
+
"class": "w"
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"white_piece0_strength": "0",
|
| 113 |
+
"white_piece0_file": "5",
|
| 114 |
+
"white_piece0_rank": "8",
|
| 115 |
+
"black_piece0_strength": "0",
|
| 116 |
+
"black_piece0_file": "0",
|
| 117 |
+
"black_piece0_rank": "8",
|
| 118 |
+
"class": "w"
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"white_piece0_strength": "0",
|
| 122 |
+
"white_piece0_file": "6",
|
| 123 |
+
"white_piece0_rank": "8",
|
| 124 |
+
"black_piece0_strength": "0",
|
| 125 |
+
"black_piece0_file": "0",
|
| 126 |
+
"black_piece0_rank": "8",
|
| 127 |
+
"class": "w"
|
| 128 |
+
}
|
| 129 |
+
]
|
| 130 |
+
}
|
| 131 |
+
|
| 132 |
+
Shortlisted templates:
|
| 133 |
+
[
|
| 134 |
+
{
|
| 135 |
+
"template_id": "tpl_grouped_percentile_point",
|
| 136 |
+
"template_name": "Grouped Percentile Point",
|
| 137 |
+
"primary_family": "tail_rarity_structure",
|
| 138 |
+
"portability": "yes",
|
| 139 |
+
"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;",
|
| 140 |
+
"required_roles": [
|
| 141 |
+
"group_col",
|
| 142 |
+
"measure_col"
|
| 143 |
+
]
|
| 144 |
+
}
|
| 145 |
+
]
|
| 146 |
+
|
| 147 |
+
Problem instance:
|
| 148 |
+
{
|
| 149 |
+
"dataset_id": "c20",
|
| 150 |
+
"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=white_piece0_rank.",
|
| 151 |
+
"planned_template_id": "tpl_grouped_percentile_point",
|
| 152 |
+
"bindings": {
|
| 153 |
+
"group_col": "white_piece0_rank",
|
| 154 |
+
"measure_col": "white_piece0_rank",
|
| 155 |
+
"top_k": 16,
|
| 156 |
+
"top_n": 6,
|
| 157 |
+
"num_tiles": 10,
|
| 158 |
+
"percentile_value": 0.9,
|
| 159 |
+
"z_threshold": 2.0,
|
| 160 |
+
"fraction_threshold": 0.05,
|
| 161 |
+
"baseline_multiplier": 1.75,
|
| 162 |
+
"baseline_fraction": 0.1,
|
| 163 |
+
"min_group_size": 5,
|
| 164 |
+
"min_support": 4,
|
| 165 |
+
"measure_threshold": 6.0,
|
| 166 |
+
"time_grain": "month",
|
| 167 |
+
"lookback_rows": 3,
|
| 168 |
+
"current_period_start": "'2024-01-01'",
|
| 169 |
+
"current_period_end": "'2024-04-01'",
|
| 170 |
+
"previous_period_start": "'2023-10-01'",
|
| 171 |
+
"previous_period_end": "'2024-01-01'",
|
| 172 |
+
"drift_ratio_threshold": 0.8
|
| 173 |
+
},
|
| 174 |
+
"can_vary": [],
|
| 175 |
+
"must_fix": [],
|
| 176 |
+
"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;"
|
| 177 |
+
}
|
| 178 |
+
|
| 179 |
+
Repair context:
|
| 180 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e4107-9257-7050-98cc-06252f3f1045"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_response_attempt_1.txt
ADDED
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@@ -0,0 +1,4 @@
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| 1 |
+
{"type":"thread.started","thread_id":"019e4107-9257-7050-98cc-06252f3f1045"}
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| 2 |
+
{"type":"turn.started"}
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| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_response_attempt_2.raw.txt
ADDED
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@@ -0,0 +1,4 @@
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|
| 1 |
+
{"type":"thread.started","thread_id":"019e4107-a276-72b0-9359-7f63689dbb12"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_e75d474864b07fe5/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|