Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/conversation.jsonl

@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7029, "bytes_utf8": 7029, "lines": 194, "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": 7029, "bytes_utf8": 7029, "lines": 194, "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": 746, "bytes_utf8": 746, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14021, "cached_input_tokens": 12672, "output_tokens": 706, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_002ab5265ed7dc65/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": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_002ab5265ed7dc65",
+    "api_calls": 0,
+    "input_tokens": 14021,
+    "cached_input_tokens": 12672,
+    "output_tokens": 706,
+    "total_tokens": 14727,
+    "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": 17594.72,
+    "sql_execution_elapsed_ms_total": 11.44,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:03:39.335609+00:00",
+  "ended_at": "2026-05-19T16:03:42.660034+00:00",
+  "elapsed_ms": 3324.36,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7029,
+    "bytes_utf8": 7029,
+    "lines": 194,
+    "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/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:03:43.662343+00:00",
+  "ended_at": "2026-05-19T16:03:57.932746+00:00",
+  "elapsed_ms": 14270.36,
+  "prompt_metrics": {
+    "chars": 7029,
+    "bytes_utf8": 7029,
+    "lines": 194,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1126,
+    "bytes_utf8": 1126,
+    "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": 746,
+      "bytes_utf8": 746,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14021,
+      "cached_input_tokens": 12672,
+      "output_tokens": 706,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,194 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Subtopic, measure_col=Student ID.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "Subtopic",
+    "measure_col": "Student ID",
+    "item_col": "Question ID",
+    "top_k": 19,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 1077.0,
+    "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/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,194 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Subtopic, measure_col=Student ID.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "Subtopic",
+    "measure_col": "Student ID",
+    "item_col": "Question ID",
+    "top_k": 19,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 1077.0,
+    "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/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fa-81d3-7c42-aa20-c9768a90f829"}
+{"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/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fa-81d3-7c42-aa20-c9768a90f829"}
+{"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/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fa-92d2-7dd1-a259-3f1fbc1ee4ae"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Subtopic\\\", \\\"Question ID\\\",\\n       SUM(CAST(\\\"Student ID\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"Student ID\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Student ID\\\" AS REAL))) OVER (PARTITION BY \\\"Subtopic\\\") AS share_within_group\\nFROM \\\"c6\\\"\\nGROUP BY \\\"Subtopic\\\", \\\"Question ID\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned Within-Group Share of Total template with group_col=\\\"Subtopic\\\" and item_col=\\\"Question ID\\\". CAST(\\\"Student ID\\\" AS REAL) was added for SQLite-safe aggregation because the bound measure column is stored as TEXT; note that summing an identifier-like field is mechanically valid but semantically should be interpreted with caution.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14021,"cached_input_tokens":12672,"output_tokens":706,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_002ab5265ed7dc65/cli/sql_response_attempt_2.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Subtopic\", \"Question ID\",\n       SUM(CAST(\"Student ID\" AS REAL)) AS total_measure,\n       SUM(CAST(\"Student ID\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Student ID\" AS REAL))) OVER (PARTITION BY \"Subtopic\") AS share_within_group\nFROM \"c6\"\nGROUP BY \"Subtopic\", \"Question ID\"\nORDER BY share_within_group DESC;","notes":"Used the planned Within-Group Share of Total template with group_col=\"Subtopic\" and item_col=\"Question ID\". CAST(\"Student ID\" AS REAL) was added for SQLite-safe aggregation because the bound measure column is stored as TEXT; note that summing an identifier-like field is mechanically valid but semantically should be interpreted with caution."}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_0388f919b86d5772/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": "2026-05-19T16:10:37.716349+00:00",
+  "ended_at": "2026-05-19T16:10:40.753559+00:00",
+  "elapsed_ms": 3037.18,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7173,
+    "bytes_utf8": 7173,
+    "lines": 192,
+    "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/c6/artifacts/v2q_c6_0388f919b86d5772/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": "2026-05-19T16:10:41.755655+00:00",
+  "ended_at": "2026-05-19T16:10:45.032436+00:00",
+  "elapsed_ms": 3276.74,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7173,
+    "bytes_utf8": 7173,
+    "lines": 192,
+    "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/c6/artifacts/v2q_c6_0388f919b86d5772/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,192 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Subtopic, measure_col=Student ID.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "Subtopic",
+    "measure_col": "Student ID",
+    "top_k": 14,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 1219.0,
+    "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/c6/artifacts/v2q_c6_0388f919b86d5772/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,192 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Subtopic, measure_col=Student ID.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "Subtopic",
+    "measure_col": "Student ID",
+    "top_k": 14,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 1219.0,
+    "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/c6/artifacts/v2q_c6_0388f919b86d5772/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-e412-72a1-80f2-7b7fbfc00fb6"}
+{"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/c6/artifacts/v2q_c6_0388f919b86d5772/cli/sql_response_attempt_1.txt

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+{"type":"thread.started","thread_id":"019e4100-e412-72a1-80f2-7b7fbfc00fb6"}
+{"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/c6/artifacts/v2q_c6_0388f919b86d5772/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-f3e3-7900-917f-9b5d3b888409"}
+{"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/c6/artifacts/v2q_c6_0388f919b86d5772/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4100-f3e3-7900-917f-9b5d3b888409"}
+{"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/c6/artifacts/v2q_c6_080ac6334adb3239/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": "2026-05-19T16:14:50.815030+00:00",
+  "ended_at": "2026-05-19T16:14:55.826538+00:00",
+  "elapsed_ms": 5011.48,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6886,
+    "bytes_utf8": 6886,
+    "lines": 195,
+    "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/c6/artifacts/v2q_c6_080ac6334adb3239/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": "2026-05-19T16:14:56.828469+00:00",
+  "ended_at": "2026-05-19T16:15:00.066880+00:00",
+  "elapsed_ms": 3238.38,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6886,
+    "bytes_utf8": 6886,
+    "lines": 195,
+    "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/c6/artifacts/v2q_c6_080ac6334adb3239/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,195 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Subtopic, condition_col=Student Country.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "Subtopic",
+    "condition_col": "Student Country",
+    "condition_value": "Portugal",
+    "positive_value": "Portugal",
+    "negative_value": "Lithuania",
+    "top_k": 14,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 571.0,
+    "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/c6/artifacts/v2q_c6_080ac6334adb3239/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,195 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Subtopic, condition_col=Student Country.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "Subtopic",
+    "condition_col": "Student Country",
+    "condition_value": "Portugal",
+    "positive_value": "Portugal",
+    "negative_value": "Lithuania",
+    "top_k": 14,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 571.0,
+    "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/c6/artifacts/v2q_c6_080ac6334adb3239/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4104-c0c7-79a3-8975-a5a6c8b7d16b"}
+{"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/c6/artifacts/v2q_c6_080ac6334adb3239/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4104-c0c7-79a3-8975-a5a6c8b7d16b"}
+{"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/c6/artifacts/v2q_c6_080ac6334adb3239/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4104-d83d-7ff3-8a97-6106f0e2bb00"}
+{"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/c6/artifacts/v2q_c6_080ac6334adb3239/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e4104-d83d-7ff3-8a97-6106f0e2bb00"}
+{"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/c6/artifacts/v2q_c6_09161a05e8ea4648/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7043, "bytes_utf8": 7043, "lines": 194, "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": 618, "bytes_utf8": 618, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14021, "cached_input_tokens": 12032, "output_tokens": 651, "reasoning_output_tokens": 481}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_09161a05e8ea4648/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_09161a05e8ea4648",
+    "api_calls": 0,
+    "input_tokens": 14021,
+    "cached_input_tokens": 12032,
+    "output_tokens": 651,
+    "total_tokens": 14672,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13790.0,
+    "sql_execution_elapsed_ms_total": 18.34,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_09161a05e8ea4648/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_09161a05e8ea4648/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:06:02.081312+00:00",
+  "ended_at": "2026-05-19T16:06:15.871342+00:00",
+  "elapsed_ms": 13790.0,
+  "prompt_metrics": {
+    "chars": 7043,
+    "bytes_utf8": 7043,
+    "lines": 194,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1004,
+    "bytes_utf8": 1004,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 618,
+      "bytes_utf8": 618,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14021,
+      "cached_input_tokens": 12032,
+      "output_tokens": 651,
+      "reasoning_output_tokens": 481
+    }
+  },
+  "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/c6/artifacts/v2q_c6_09161a05e8ea4648/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,194 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Student Country, measure_col=Student ID.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "Student Country",
+    "measure_col": "Student ID",
+    "item_col": "Keywords",
+    "top_k": 10,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 1219.0,
+    "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/c6/artifacts/v2q_c6_09161a05e8ea4648/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-afd3-7741-905e-15b72cc8a173"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"Student Country\\\",\\n  \\\"Keywords\\\",\\n  SUM(CAST(\\\"Student ID\\\" AS NUMERIC)) AS total_measure,\\n  SUM(CAST(\\\"Student ID\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"Student ID\\\" AS NUMERIC))) OVER (PARTITION BY \\\"Student Country\\\") AS share_within_group\\nFROM \\\"c6\\\"\\nGROUP BY \\\"Student Country\\\", \\\"Keywords\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required template and bindings: group_col=\\\"Student Country\\\", item_col=\\\"Keywords\\\", measure_col=\\\"Student ID\\\". \\\"Student ID\\\" is CAST to NUMERIC because it is stored as TEXT in the schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14021,"cached_input_tokens":12032,"output_tokens":651,"reasoning_output_tokens":481}}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_09161a05e8ea4648/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"Student Country\",\n  \"Keywords\",\n  SUM(CAST(\"Student ID\" AS NUMERIC)) AS total_measure,\n  SUM(CAST(\"Student ID\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\"Student ID\" AS NUMERIC))) OVER (PARTITION BY \"Student Country\") AS share_within_group\nFROM \"c6\"\nGROUP BY \"Student Country\", \"Keywords\"\nORDER BY share_within_group DESC;","notes":"Uses the required template and bindings: group_col=\"Student Country\", item_col=\"Keywords\", measure_col=\"Student ID\". \"Student ID\" is CAST to NUMERIC because it is stored as TEXT in the schema."}

Query/sql/v2/runs/v2_cli_20260502_081223_e/c6/artifacts/v2q_c6_0df29903854728f1/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": "2026-05-19T16:09:30.252734+00:00",
+  "ended_at": "2026-05-19T16:09:33.248571+00:00",
+  "elapsed_ms": 2995.81,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6790,
+    "bytes_utf8": 6790,
+    "lines": 190,
+    "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/c6/artifacts/v2q_c6_0df29903854728f1/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": "2026-05-19T16:09:34.251193+00:00",
+  "ended_at": "2026-05-19T16:09:37.687960+00:00",
+  "elapsed_ms": 3436.73,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6790,
+    "bytes_utf8": 6790,
+    "lines": 190,
+    "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/c6/artifacts/v2q_c6_0df29903854728f1/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,190 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Student ID.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "Student ID",
+    "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": 1219.0,
+    "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/c6/artifacts/v2q_c6_0df29903854728f1/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,190 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+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": "c6",
+  "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Student ID.",
+  "planned_template_id": "tpl_m4_quantile_tail_slice",
+  "bindings": {
+    "measure_col": "Student ID",
+    "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": 1219.0,
+    "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/c6/artifacts/v2q_c6_0df29903854728f1/cli/sql_response_attempt_1.raw.txt

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+{"type":"thread.started","thread_id":"019e40ff-dc96-7262-b0bf-9446c3ba3e00"}
+{"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/c6/artifacts/v2q_c6_0df29903854728f1/cli/sql_response_attempt_1.txt

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+{"type":"thread.started","thread_id":"019e40ff-dc96-7262-b0bf-9446c3ba3e00"}
+{"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/c6/artifacts/v2q_c6_0df29903854728f1/cli/sql_response_attempt_2.raw.txt

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+{"type":"thread.started","thread_id":"019e40ff-ec35-7dc3-b1b9-9d047cbe8324"}
+{"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/c6/artifacts/v2q_c6_0df29903854728f1/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ff-ec35-7dc3-b1b9-9d047cbe8324"}
+{"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/c6/artifacts/v2q_c6_121a0d80bcce8b89/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:03:08.705597+00:00",
+  "ended_at": "2026-05-19T16:03:12.098984+00:00",
+  "elapsed_ms": 3393.36,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6537,
+    "bytes_utf8": 6537,
+    "lines": 190,
+    "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"
+}