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Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_38a2443a0ce20201/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:11:46.612836+00:00",
+  "ended_at": "2026-05-19T16:11:52.587269+00:00",
+  "elapsed_ms": 5974.39,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6254,
+    "bytes_utf8": 6254,
+    "lines": 184,
+    "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_38a2443a0ce20201/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": "2026-05-19T16:11:53.588895+00:00",
+  "ended_at": "2026-05-19T16:11:56.641676+00:00",
+  "elapsed_ms": 3052.75,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6254,
+    "bytes_utf8": 6254,
+    "lines": 184,
+    "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_38a2443a0ce20201/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,184 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=white_piece0_file, group_col_2=white_piece0_rank.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "white_piece0_file",
+    "group_col_2": "white_piece0_rank",
+    "predicate_col": "class",
+    "predicate_op": "=",
+    "predicate_value": "w",
+    "top_k": 13,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_38a2443a0ce20201/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,184 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=white_piece0_file, group_col_2=white_piece0_rank.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "white_piece0_file",
+    "group_col_2": "white_piece0_rank",
+    "predicate_col": "class",
+    "predicate_op": "=",
+    "predicate_value": "w",
+    "top_k": 13,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_38a2443a0ce20201/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-f125-7070-a433-f4a67a37279e"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_38a2443a0ce20201/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-f125-7070-a433-f4a67a37279e"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_38a2443a0ce20201/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4102-0c88-7d90-99b5-180a04935f58"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_38a2443a0ce20201/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4102-0c88-7d90-99b5-180a04935f58"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5037a0f343bb3341/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": "2026-05-19T16:26:53.277148+00:00",
+  "ended_at": "2026-05-19T16:26:56.684565+00:00",
+  "elapsed_ms": 3407.38,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 5921,
+    "bytes_utf8": 5921,
+    "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5037a0f343bb3341/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": "2026-05-19T16:26:57.688294+00:00",
+  "ended_at": "2026-05-19T16:27:01.037341+00:00",
+  "elapsed_ms": 3349.0,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 5921,
+    "bytes_utf8": 5921,
+    "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_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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5037a0f343bb3341/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: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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 rare_extreme_view. 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": 17,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5037a0f343bb3341/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: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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 rare_extreme_view. 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": 17,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5037a0f343bb3341/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410f-c75a-7d43-a24e-c3e9133fd1a9"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5037a0f343bb3341/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410f-c75a-7d43-a24e-c3e9133fd1a9"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5037a0f343bb3341/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410f-d89b-7b40-9fa9-0ad9e6fb0c04"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_5037a0f343bb3341/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410f-d89b-7b40-9fa9-0ad9e6fb0c04"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/conversation.jsonl

@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6383, "bytes_utf8": 6383, "lines": 182, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 6383, "bytes_utf8": 6383, "lines": 182, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 807, "bytes_utf8": 807, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13928, "cached_input_tokens": 12032, "output_tokens": 1355, "reasoning_output_tokens": 1134}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 2,
+  "usage_summary": {
+    "dataset_id": "c20",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c20_56feaeec256c2063",
+    "api_calls": 0,
+    "input_tokens": 13928,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1355,
+    "total_tokens": 15283,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 23923.48,
+    "sql_execution_elapsed_ms_total": 29.23,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:07:00.644873+00:00",
+  "ended_at": "2026-05-19T16:07:03.831094+00:00",
+  "elapsed_ms": 3186.19,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6383,
+    "bytes_utf8": 6383,
+    "lines": 182,
+    "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:07:04.832800+00:00",
+  "ended_at": "2026-05-19T16:07:25.570118+00:00",
+  "elapsed_ms": 20737.29,
+  "prompt_metrics": {
+    "chars": 6383,
+    "bytes_utf8": 6383,
+    "lines": 182,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1203,
+    "bytes_utf8": 1203,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 807,
+      "bytes_utf8": 807,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13928,
+      "cached_input_tokens": 12032,
+      "output_tokens": 1355,
+      "reasoning_output_tokens": 1134
+    }
+  },
+  "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,182 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=black_piece0_strength, measure_col=white_piece0_strength.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "black_piece0_strength",
+    "measure_col": "white_piece0_strength",
+    "item_col": "black_piece0_file",
+    "top_k": 14,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,182 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=black_piece0_strength, measure_col=white_piece0_strength.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "black_piece0_strength",
+    "measure_col": "white_piece0_strength",
+    "item_col": "black_piece0_file",
+    "top_k": 14,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-9424-71c0-9a6f-4b610f30cc6a"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-9424-71c0-9a6f-4b610f30cc6a"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-a48d-7082-aea4-ba1dc6bffec8"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"black_piece0_strength\\\",\\n  \\\"black_piece0_file\\\",\\n  SUM(CAST(\\\"white_piece0_strength\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"white_piece0_strength\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"white_piece0_strength\\\" AS REAL))) OVER (PARTITION BY \\\"black_piece0_strength\\\"), 0) AS \\\"share_within_group\\\"\\nFROM \\\"c20\\\"\\nGROUP BY \\\"black_piece0_strength\\\", \\\"black_piece0_file\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied tpl_tpcds_within_group_share with group_col=\\\"black_piece0_strength\\\", item_col=\\\"black_piece0_file\\\", and measure_col=\\\"white_piece0_strength\\\". CAST to REAL is used because the schema stores numeric-discrete fields as TEXT, and NULLIF avoids division-by-zero for groups whose total measure is 0.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13928,"cached_input_tokens":12032,"output_tokens":1355,"reasoning_output_tokens":1134}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_56feaeec256c2063/cli/sql_response_attempt_2.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"black_piece0_strength\",\n  \"black_piece0_file\",\n  SUM(CAST(\"white_piece0_strength\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"white_piece0_strength\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"white_piece0_strength\" AS REAL))) OVER (PARTITION BY \"black_piece0_strength\"), 0) AS \"share_within_group\"\nFROM \"c20\"\nGROUP BY \"black_piece0_strength\", \"black_piece0_file\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied tpl_tpcds_within_group_share with group_col=\"black_piece0_strength\", item_col=\"black_piece0_file\", and measure_col=\"white_piece0_strength\". CAST to REAL is used because the schema stores numeric-discrete fields as TEXT, and NULLIF avoids division-by-zero for groups whose total measure is 0."}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6a7d3d79da579be8/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:06:46.684908+00:00",
+  "ended_at": "2026-05-19T16:06:50.002813+00:00",
+  "elapsed_ms": 3317.88,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 5840,
+    "bytes_utf8": 5840,
+    "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6a7d3d79da579be8/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:06:51.004410+00:00",
+  "ended_at": "2026-05-19T16:06:53.948669+00:00",
+  "elapsed_ms": 2944.23,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 5840,
+    "bytes_utf8": 5840,
+    "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_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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6a7d3d79da579be8/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: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=black_piece0_file.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "black_piece0_file",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6a7d3d79da579be8/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: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=black_piece0_file.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "black_piece0_file",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6a7d3d79da579be8/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-5da6-7c10-bfa0-93ae1c242fa6"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6a7d3d79da579be8/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-5da6-7c10-bfa0-93ae1c242fa6"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6a7d3d79da579be8/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-6e71-7873-9cf5-25fce4a26ca9"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_6a7d3d79da579be8/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-6e71-7873-9cf5-25fce4a26ca9"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_9cbc9dd8d5d37888/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": "2026-05-19T16:28:37.519321+00:00",
+  "ended_at": "2026-05-19T16:28:41.223144+00:00",
+  "elapsed_ms": 3703.78,
+  "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_9cbc9dd8d5d37888/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": "2026-05-19T16:28:42.225568+00:00",
+  "ended_at": "2026-05-19T16:28:45.525189+00:00",
+  "elapsed_ms": 3299.56,
+  "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_9cbc9dd8d5d37888/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: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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_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": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_9cbc9dd8d5d37888/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: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_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_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": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_9cbc9dd8d5d37888/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4111-5e7e-75f2-8316-ed8ea694e943"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_9cbc9dd8d5d37888/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4111-5e7e-75f2-8316-ed8ea694e943"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_9cbc9dd8d5d37888/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4111-70f5-7803-bfbf-2dbe71936a4b"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_9cbc9dd8d5d37888/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4111-70f5-7803-bfbf-2dbe71936a4b"}
+{"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."}}