Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_0fccab899de59168/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": "2026-05-19T16:11:23.199708+00:00",
+  "ended_at": "2026-05-19T16:11:26.581873+00:00",
+  "elapsed_ms": 3382.13,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6770,
+    "bytes_utf8": 6770,
+    "lines": 183,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_0fccab899de59168/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": "2026-05-19T16:11:27.583677+00:00",
+  "ended_at": "2026-05-19T16:11:31.089984+00:00",
+  "elapsed_ms": 3506.27,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6770,
+    "bytes_utf8": 6770,
+    "lines": 183,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_0fccab899de59168/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,183 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <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_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=white_piece0_strength, condition_col=black_piece0_strength.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "white_piece0_strength",
+    "condition_col": "black_piece0_strength",
+    "condition_value": "0",
+    "positive_value": "0",
+    "negative_value": "6",
+    "top_k": 12,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_0fccab899de59168/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,183 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <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_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=white_piece0_strength, condition_col=black_piece0_strength.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "white_piece0_strength",
+    "condition_col": "black_piece0_strength",
+    "condition_value": "0",
+    "positive_value": "0",
+    "negative_value": "6",
+    "top_k": 12,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_0fccab899de59168/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-95b4-7120-b2c6-64047abde1d2"}
+{"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_0fccab899de59168/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-95b4-7120-b2c6-64047abde1d2"}
+{"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_0fccab899de59168/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-a6d9-7cd0-9430-48b6538e6f8c"}
+{"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_0fccab899de59168/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4101-a6d9-7cd0-9430-48b6538e6f8c"}
+{"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_125d104773caa46f/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": "2026-05-19T16:16:00.273326+00:00",
+  "ended_at": "2026-05-19T16:16:03.514779+00:00",
+  "elapsed_ms": 3241.42,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6513,
+    "bytes_utf8": 6513,
+    "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_125d104773caa46f/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": "2026-05-19T16:16:04.517240+00:00",
+  "ended_at": "2026-05-19T16:16:10.614318+00:00",
+  "elapsed_ms": 6097.01,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6513,
+    "bytes_utf8": 6513,
+    "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_125d104773caa46f/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_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=white_piece0_file, measure_col=white_piece0_strength.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "white_piece0_file",
+    "measure_col": "white_piece0_strength",
+    "top_k": 18,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 6.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_125d104773caa46f/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_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=white_piece0_file, measure_col=white_piece0_strength.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "white_piece0_file",
+    "measure_col": "white_piece0_strength",
+    "top_k": 18,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 6.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_125d104773caa46f/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4105-d038-7ac3-ac38-44b0b8bc85ce"}
+{"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_125d104773caa46f/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4105-d038-7ac3-ac38-44b0b8bc85ce"}
+{"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_125d104773caa46f/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4105-e0f5-7061-98cb-903673172271"}
+{"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_125d104773caa46f/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4105-e0f5-7061-98cb-903673172271"}
+{"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_169073922de5a70d/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": "2026-05-19T16:13:15.500152+00:00",
+  "ended_at": "2026-05-19T16:13:18.651249+00:00",
+  "elapsed_ms": 3151.07,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6101,
+    "bytes_utf8": 6101,
+    "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_169073922de5a70d/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": "2026-05-19T16:13:19.652851+00:00",
+  "ended_at": "2026-05-19T16:13:24.020089+00:00",
+  "elapsed_ms": 4367.21,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6101,
+    "bytes_utf8": 6101,
+    "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_169073922de5a70d/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_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=white_piece0_rank.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "white_piece0_rank",
+    "top_k": 12,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 7.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_169073922de5a70d/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_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=white_piece0_rank.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "white_piece0_rank",
+    "top_k": 12,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 7.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_169073922de5a70d/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4103-4c61-7643-a111-9a9228dad945"}
+{"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_169073922de5a70d/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4103-4c61-7643-a111-9a9228dad945"}
+{"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_169073922de5a70d/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4103-5ca3-7d41-a374-502159f2c46e"}
+{"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_169073922de5a70d/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4103-5ca3-7d41-a374-502159f2c46e"}
+{"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_16cc2e84a643d5e7/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": "2026-05-19T16:13:48.159982+00:00",
+  "ended_at": "2026-05-19T16:13:51.418355+00:00",
+  "elapsed_ms": 3258.33,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6109,
+    "bytes_utf8": 6109,
+    "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_16cc2e84a643d5e7/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": "2026-05-19T16:13:52.420904+00:00",
+  "ended_at": "2026-05-19T16:13:55.764975+00:00",
+  "elapsed_ms": 3344.02,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6109,
+    "bytes_utf8": 6109,
+    "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_16cc2e84a643d5e7/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_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=white_piece0_strength.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "white_piece0_strength",
+    "top_k": 11,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_16cc2e84a643d5e7/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_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=white_piece0_strength.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "white_piece0_strength",
+    "top_k": 11,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_16cc2e84a643d5e7/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4103-cbf9-71e2-9be4-0f02b8862070"}
+{"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_16cc2e84a643d5e7/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4103-cbf9-71e2-9be4-0f02b8862070"}
+{"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_16cc2e84a643d5e7/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4103-dca7-7643-a423-4a606238007e"}
+{"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_16cc2e84a643d5e7/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4103-dca7-7643-a423-4a606238007e"}
+{"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_1968b980b322470d/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:20:52.133755+00:00",
+  "ended_at": "2026-05-19T16:21:05.981193+00:00",
+  "elapsed_ms": 13847.41,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6203,
+    "bytes_utf8": 6203,
+    "lines": 183,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_1968b980b322470d/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:21:06.982937+00:00",
+  "ended_at": "2026-05-19T16:21:10.270045+00:00",
+  "elapsed_ms": 3287.06,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6203,
+    "bytes_utf8": 6203,
+    "lines": 183,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_1968b980b322470d/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,183 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <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_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=white_piece0_strength, condition_col=black_piece0_file.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "white_piece0_strength",
+    "condition_col": "black_piece0_file",
+    "condition_value": "6",
+    "positive_value": "0",
+    "negative_value": "6",
+    "top_k": 18,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 7.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_1968b980b322470d/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,183 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <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_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c20",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=white_piece0_strength, condition_col=black_piece0_file.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "white_piece0_strength",
+    "condition_col": "black_piece0_file",
+    "condition_value": "6",
+    "positive_value": "0",
+    "negative_value": "6",
+    "top_k": 18,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 7.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c20/artifacts/v2q_c20_1968b980b322470d/cli/sql_response_attempt_1.raw.txt

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+{"type":"thread.started","thread_id":"019e410a-4431-7443-a6dd-f23a8c411fa9"}
+{"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_1968b980b322470d/cli/sql_response_attempt_1.txt

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+{"type":"thread.started","thread_id":"019e410a-4431-7443-a6dd-f23a8c411fa9"}
+{"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_1968b980b322470d/cli/sql_response_attempt_2.raw.txt

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+{"type":"thread.started","thread_id":"019e410a-7e29-78d1-bb5a-451404391354"}
+{"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_1968b980b322470d/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e410a-7e29-78d1-bb5a-451404391354"}
+{"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."}}