Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6037, "bytes_utf8": 6037, "lines": 170, "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": 680, "bytes_utf8": 680, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13808, "cached_input_tokens": 12032, "output_tokens": 689, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/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": "n2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n2_118760eb21901351",
+    "api_calls": 0,
+    "input_tokens": 13808,
+    "cached_input_tokens": 12032,
+    "output_tokens": 689,
+    "total_tokens": 14497,
+    "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": 15255.69,
+    "sql_execution_elapsed_ms_total": 5.03,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/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": "2026-05-19T15:35:27.538497+00:00",
+  "ended_at": "2026-05-19T15:35:42.794207+00:00",
+  "elapsed_ms": 15255.69,
+  "prompt_metrics": {
+    "chars": 6037,
+    "bytes_utf8": 6037,
+    "lines": 170,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1062,
+    "bytes_utf8": 1062,
+    "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": 680,
+      "bytes_utf8": 680,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13808,
+      "cached_input_tokens": 12032,
+      "output_tokens": 689,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "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_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,170 @@
+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: n2
+- dataset_name: Airfoil Self-Noise
+- table_name: n2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition.
+- task_type: regression
+- target_column: sound_pressure_level
+- main_row_count: 1503
+- important_fields:
+- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency.
+- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack.
+- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length.
+- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition.
+- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness.
+- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response.
+- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']]
+- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level']
+- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise
+
+SQLite schema snapshot:
+{
+  "table_name": "n2",
+  "quoted_table_name": "\"n2\"",
+  "row_count": 1503,
+  "columns": [
+    {
+      "name": "frequency",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "angle_of_attack",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "chord_length",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "free_stream_velocity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "displacement_thickness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sound_pressure_level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "frequency": "800",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "126.201"
+    },
+    {
+      "frequency": "1000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.201"
+    },
+    {
+      "frequency": "1250",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.951"
+    },
+    {
+      "frequency": "1600",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.591"
+    },
+    {
+      "frequency": "2000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.461"
+    }
+  ]
+}
+
+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": "n2",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=frequency.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "free_stream_velocity",
+    "measure_col": "frequency",
+    "item_col": "sound_pressure_level",
+    "top_k": 15,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 3150.0,
+    "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_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e0-b13d-7ec3-94c1-2b64e5af9172"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"free_stream_velocity\\\",\\n  \\\"sound_pressure_level\\\",\\n  SUM(CAST(\\\"frequency\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"frequency\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"frequency\\\" AS REAL))) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS share_within_group\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\", \\\"sound_pressure_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required Within-Group Share of Total template with group_col=\\\"free_stream_velocity\\\", item_col=\\\"sound_pressure_level\\\", and measure_col=\\\"frequency\\\". CAST to REAL is applied because the schema stores numeric fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13808,"cached_input_tokens":12032,"output_tokens":689,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"free_stream_velocity\",\n  \"sound_pressure_level\",\n  SUM(CAST(\"frequency\" AS REAL)) AS total_measure,\n  SUM(CAST(\"frequency\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"frequency\" AS REAL))) OVER (PARTITION BY \"free_stream_velocity\") AS share_within_group\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\", \"sound_pressure_level\"\nORDER BY share_within_group DESC;","notes":"Used the required Within-Group Share of Total template with group_col=\"free_stream_velocity\", item_col=\"sound_pressure_level\", and measure_col=\"frequency\". CAST to REAL is applied because the schema stores numeric fields as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/conversation.jsonl

@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5886, "bytes_utf8": 5886, "lines": 171, "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": 5886, "bytes_utf8": 5886, "lines": 171, "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": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13763, "cached_input_tokens": 12672, "output_tokens": 293, "reasoning_output_tokens": 177}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/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": "n2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n2_158ac900c3ab3bb1",
+    "api_calls": 0,
+    "input_tokens": 13763,
+    "cached_input_tokens": 12672,
+    "output_tokens": 293,
+    "total_tokens": 14056,
+    "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": 13199.21,
+    "sql_execution_elapsed_ms_total": 0.86,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/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": "2026-05-19T15:58:36.547934+00:00",
+  "ended_at": "2026-05-19T15:58:39.864188+00:00",
+  "elapsed_ms": 3316.23,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 5886,
+    "bytes_utf8": 5886,
+    "lines": 171,
+    "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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/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": "2026-05-19T15:58:40.866073+00:00",
+  "ended_at": "2026-05-19T15:58:50.749083+00:00",
+  "elapsed_ms": 9882.98,
+  "prompt_metrics": {
+    "chars": 5886,
+    "bytes_utf8": 5886,
+    "lines": 171,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 787,
+    "bytes_utf8": 787,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 432,
+      "bytes_utf8": 432,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13763,
+      "cached_input_tokens": 12672,
+      "output_tokens": 293,
+      "reasoning_output_tokens": 177
+    }
+  },
+  "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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,171 @@
+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: n2
+- dataset_name: Airfoil Self-Noise
+- table_name: n2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition.
+- task_type: regression
+- target_column: sound_pressure_level
+- main_row_count: 1503
+- important_fields:
+- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency.
+- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack.
+- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length.
+- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition.
+- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness.
+- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response.
+- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']]
+- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level']
+- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise
+
+SQLite schema snapshot:
+{
+  "table_name": "n2",
+  "quoted_table_name": "\"n2\"",
+  "row_count": 1503,
+  "columns": [
+    {
+      "name": "frequency",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "angle_of_attack",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "chord_length",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "free_stream_velocity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "displacement_thickness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sound_pressure_level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "frequency": "800",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "126.201"
+    },
+    {
+      "frequency": "1000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.201"
+    },
+    {
+      "frequency": "1250",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.951"
+    },
+    {
+      "frequency": "1600",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.591"
+    },
+    {
+      "frequency": "2000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.461"
+    }
+  ]
+}
+
+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": "n2",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=free_stream_velocity, condition_col=chord_length.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "free_stream_velocity",
+    "condition_col": "chord_length",
+    "condition_value": "0.1524",
+    "positive_value": "0.0254",
+    "negative_value": "0.1524",
+    "top_k": 15,
+    "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": 4000.0,
+    "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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,171 @@
+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: n2
+- dataset_name: Airfoil Self-Noise
+- table_name: n2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition.
+- task_type: regression
+- target_column: sound_pressure_level
+- main_row_count: 1503
+- important_fields:
+- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency.
+- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack.
+- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length.
+- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition.
+- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness.
+- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response.
+- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']]
+- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level']
+- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise
+
+SQLite schema snapshot:
+{
+  "table_name": "n2",
+  "quoted_table_name": "\"n2\"",
+  "row_count": 1503,
+  "columns": [
+    {
+      "name": "frequency",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "angle_of_attack",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "chord_length",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "free_stream_velocity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "displacement_thickness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sound_pressure_level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "frequency": "800",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "126.201"
+    },
+    {
+      "frequency": "1000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.201"
+    },
+    {
+      "frequency": "1250",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.951"
+    },
+    {
+      "frequency": "1600",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.591"
+    },
+    {
+      "frequency": "2000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.461"
+    }
+  ]
+}
+
+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": "n2",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=free_stream_velocity, condition_col=chord_length.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "free_stream_velocity",
+    "condition_col": "chord_length",
+    "condition_value": "0.1524",
+    "positive_value": "0.0254",
+    "negative_value": "0.1524",
+    "top_k": 15,
+    "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": 4000.0,
+    "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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_1.raw.txt

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+{"type":"thread.started","thread_id":"019e40f5-e311-7792-bb8b-a5289d0ec540"}
+{"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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-e311-7792-bb8b-a5289d0ec540"}
+{"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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f5-f3fb-71d0-ae71-269aa89b9b90"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"free_stream_velocity\\\",\\n       AVG(CASE WHEN \\\"chord_length\\\" = '0.1524' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"free_stream_velocity\\\" and condition_col=\\\"chord_length\\\", using condition_value='0.1524' exactly as bound.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13763,"cached_input_tokens":12672,"output_tokens":293,"reasoning_output_tokens":177}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_2.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"free_stream_velocity\",\n       AVG(CASE WHEN \"chord_length\" = '0.1524' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY condition_rate DESC;","notes":"Applied the Grouped Condition Rate template with group_col=\"free_stream_velocity\" and condition_col=\"chord_length\", using condition_value='0.1524' exactly as bound."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5795, "bytes_utf8": 5795, "lines": 168, "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": 693, "bytes_utf8": 693, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13738, "cached_input_tokens": 12032, "output_tokens": 701, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/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": "n2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n2_1aed82d8732b11db",
+    "api_calls": 0,
+    "input_tokens": 13738,
+    "cached_input_tokens": 12032,
+    "output_tokens": 701,
+    "total_tokens": 14439,
+    "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": 14500.98,
+    "sql_execution_elapsed_ms_total": 2.48,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/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": "2026-05-19T16:03:21.540668+00:00",
+  "ended_at": "2026-05-19T16:03:36.041679+00:00",
+  "elapsed_ms": 14500.98,
+  "prompt_metrics": {
+    "chars": 5795,
+    "bytes_utf8": 5795,
+    "lines": 168,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1075,
+    "bytes_utf8": 1075,
+    "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": 693,
+      "bytes_utf8": 693,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13738,
+      "cached_input_tokens": 12032,
+      "output_tokens": 701,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "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_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,168 @@
+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: n2
+- dataset_name: Airfoil Self-Noise
+- table_name: n2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition.
+- task_type: regression
+- target_column: sound_pressure_level
+- main_row_count: 1503
+- important_fields:
+- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency.
+- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack.
+- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length.
+- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition.
+- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness.
+- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response.
+- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']]
+- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level']
+- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise
+
+SQLite schema snapshot:
+{
+  "table_name": "n2",
+  "quoted_table_name": "\"n2\"",
+  "row_count": 1503,
+  "columns": [
+    {
+      "name": "frequency",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "angle_of_attack",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "chord_length",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "free_stream_velocity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "displacement_thickness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sound_pressure_level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "frequency": "800",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "126.201"
+    },
+    {
+      "frequency": "1000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.201"
+    },
+    {
+      "frequency": "1250",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.951"
+    },
+    {
+      "frequency": "1600",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.591"
+    },
+    {
+      "frequency": "2000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.461"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_thresholded_group_ranking",
+    "template_name": "Thresholded Group Ranking",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n2",
+  "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=free_stream_velocity, measure_col=chord_length.",
+  "planned_template_id": "tpl_tpch_thresholded_group_ranking",
+  "bindings": {
+    "group_col": "free_stream_velocity",
+    "measure_col": "chord_length",
+    "top_k": 17,
+    "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": 0.1524,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fa-3c4f-75b3-b3ae-5c37096e9d0d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT\\n  \\\"free_stream_velocity\\\",\\n  SUM(CAST(\\\"chord_length\\\" AS REAL)) AS total_measure\\nFROM \\\"n2\\\"\\nWHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n  AND \\\"free_stream_velocity\\\" <> ''\\n  AND \\\"chord_length\\\" IS NOT NULL\\n  AND \\\"chord_length\\\" <> ''\\nGROUP BY \\\"free_stream_velocity\\\"\\nHAVING SUM(CAST(\\\"chord_length\\\" AS REAL)) > 0.1524\\nORDER BY total_measure DESC\\nLIMIT 17;\",\"notes\":\"Applied the thresholded group ranking template with group_col=\\\"free_stream_velocity\\\" and measure_col=\\\"chord_length\\\". Cast the measure from TEXT to REAL for SQLite aggregation and filtered null/empty values to keep a stable grouped view.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13738,"cached_input_tokens":12032,"output_tokens":701,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_thresholded_group_ranking\nSELECT\n  \"free_stream_velocity\",\n  SUM(CAST(\"chord_length\" AS REAL)) AS total_measure\nFROM \"n2\"\nWHERE \"free_stream_velocity\" IS NOT NULL\n  AND \"free_stream_velocity\" <> ''\n  AND \"chord_length\" IS NOT NULL\n  AND \"chord_length\" <> ''\nGROUP BY \"free_stream_velocity\"\nHAVING SUM(CAST(\"chord_length\" AS REAL)) > 0.1524\nORDER BY total_measure DESC\nLIMIT 17;","notes":"Applied the thresholded group ranking template with group_col=\"free_stream_velocity\" and measure_col=\"chord_length\". Cast the measure from TEXT to REAL for SQLite aggregation and filtered null/empty values to keep a stable grouped view."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5708, "bytes_utf8": 5708, "lines": 168, "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": 465, "bytes_utf8": 465, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13702, "cached_input_tokens": 12672, "output_tokens": 263, "reasoning_output_tokens": 151}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/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": "n2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n2_25475fa355923461",
+    "api_calls": 0,
+    "input_tokens": 13702,
+    "cached_input_tokens": 12672,
+    "output_tokens": 263,
+    "total_tokens": 13965,
+    "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": 10754.89,
+    "sql_execution_elapsed_ms_total": 5.04,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/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": "2026-05-19T15:39:50.661782+00:00",
+  "ended_at": "2026-05-19T15:40:01.416715+00:00",
+  "elapsed_ms": 10754.89,
+  "prompt_metrics": {
+    "chars": 5708,
+    "bytes_utf8": 5708,
+    "lines": 168,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 820,
+    "bytes_utf8": 820,
+    "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": 465,
+      "bytes_utf8": 465,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13702,
+      "cached_input_tokens": 12672,
+      "output_tokens": 263,
+      "reasoning_output_tokens": 151
+    }
+  },
+  "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_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,168 @@
+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: n2
+- dataset_name: Airfoil Self-Noise
+- table_name: n2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition.
+- task_type: regression
+- target_column: sound_pressure_level
+- main_row_count: 1503
+- important_fields:
+- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency.
+- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack.
+- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length.
+- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition.
+- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness.
+- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response.
+- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']]
+- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level']
+- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise
+
+SQLite schema snapshot:
+{
+  "table_name": "n2",
+  "quoted_table_name": "\"n2\"",
+  "row_count": 1503,
+  "columns": [
+    {
+      "name": "frequency",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "angle_of_attack",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "chord_length",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "free_stream_velocity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "displacement_thickness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sound_pressure_level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "frequency": "800",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "126.201"
+    },
+    {
+      "frequency": "1000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.201"
+    },
+    {
+      "frequency": "1250",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.951"
+    },
+    {
+      "frequency": "1600",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.591"
+    },
+    {
+      "frequency": "2000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.461"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n2",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=free_stream_velocity, measure_col=angle_of_attack.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "free_stream_velocity",
+    "measure_col": "angle_of_attack",
+    "top_k": 11,
+    "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": 9.9,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e4-b503-78d3-b7f0-78b1e6ae5395"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"free_stream_velocity\\\",\\n  AVG(CAST(\\\"angle_of_attack\\\" AS REAL)) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS avg_measure\\nFROM \\\"n2\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the provided Window Partition Average template with group_col=\\\"free_stream_velocity\\\" and measure_col=\\\"angle_of_attack\\\". CAST to REAL is used because the schema stores numeric fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13702,"cached_input_tokens":12672,"output_tokens":263,"reasoning_output_tokens":151}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"free_stream_velocity\",\n  AVG(CAST(\"angle_of_attack\" AS REAL)) OVER (PARTITION BY \"free_stream_velocity\") AS avg_measure\nFROM \"n2\"\nORDER BY avg_measure DESC;","notes":"Applied the provided Window Partition Average template with group_col=\"free_stream_velocity\" and measure_col=\"angle_of_attack\". CAST to REAL is used because the schema stores numeric fields as TEXT in SQLite."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6044, "bytes_utf8": 6044, "lines": 170, "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": 670, "bytes_utf8": 670, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13810, "cached_input_tokens": 12672, "output_tokens": 613, "reasoning_output_tokens": 446}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/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": "n2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n2_2670ecf51412edea",
+    "api_calls": 0,
+    "input_tokens": 13810,
+    "cached_input_tokens": 12672,
+    "output_tokens": 613,
+    "total_tokens": 14423,
+    "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": 12941.21,
+    "sql_execution_elapsed_ms_total": 3.24,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/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": "2026-05-19T15:33:01.207224+00:00",
+  "ended_at": "2026-05-19T15:33:14.148467+00:00",
+  "elapsed_ms": 12941.21,
+  "prompt_metrics": {
+    "chars": 6044,
+    "bytes_utf8": 6044,
+    "lines": 170,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1050,
+    "bytes_utf8": 1050,
+    "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": 670,
+      "bytes_utf8": 670,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13810,
+      "cached_input_tokens": 12672,
+      "output_tokens": 613,
+      "reasoning_output_tokens": 446
+    }
+  },
+  "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_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,170 @@
+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: n2
+- dataset_name: Airfoil Self-Noise
+- table_name: n2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition.
+- task_type: regression
+- target_column: sound_pressure_level
+- main_row_count: 1503
+- important_fields:
+- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency.
+- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack.
+- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length.
+- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition.
+- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness.
+- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response.
+- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']]
+- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level']
+- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise
+
+SQLite schema snapshot:
+{
+  "table_name": "n2",
+  "quoted_table_name": "\"n2\"",
+  "row_count": 1503,
+  "columns": [
+    {
+      "name": "frequency",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "angle_of_attack",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "chord_length",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "free_stream_velocity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "displacement_thickness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sound_pressure_level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "frequency": "800",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "126.201"
+    },
+    {
+      "frequency": "1000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.201"
+    },
+    {
+      "frequency": "1250",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.951"
+    },
+    {
+      "frequency": "1600",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.591"
+    },
+    {
+      "frequency": "2000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.461"
+    }
+  ]
+}
+
+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": "n2",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=free_stream_velocity, measure_col=frequency.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "free_stream_velocity",
+    "measure_col": "frequency",
+    "item_col": "displacement_thickness",
+    "top_k": 15,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 3150.0,
+    "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_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40de-7594-7902-9754-805ee1bf79d6"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"free_stream_velocity\\\", \\\"displacement_thickness\\\",\\n       SUM(CAST(\\\"frequency\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"frequency\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"frequency\\\" AS REAL))) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS share_within_group\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\", \\\"displacement_thickness\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"free_stream_velocity\\\", item_col=\\\"displacement_thickness\\\", and measure_col=\\\"frequency\\\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13810,"cached_input_tokens":12672,"output_tokens":613,"reasoning_output_tokens":446}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"free_stream_velocity\", \"displacement_thickness\",\n       SUM(CAST(\"frequency\" AS REAL)) AS total_measure,\n       SUM(CAST(\"frequency\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"frequency\" AS REAL))) OVER (PARTITION BY \"free_stream_velocity\") AS share_within_group\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\", \"displacement_thickness\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=\"free_stream_velocity\", item_col=\"displacement_thickness\", and measure_col=\"frequency\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5559, "bytes_utf8": 5559, "lines": 166, "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": 401, "bytes_utf8": 401, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12032, "output_tokens": 241, "reasoning_output_tokens": 130}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/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": "n2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n2_2bb8a77a626075f6",
+    "api_calls": 0,
+    "input_tokens": 13682,
+    "cached_input_tokens": 12032,
+    "output_tokens": 241,
+    "total_tokens": 13923,
+    "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": 8347.87,
+    "sql_execution_elapsed_ms_total": 1.55,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/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": "2026-05-19T16:00:31.329885+00:00",
+  "ended_at": "2026-05-19T16:00:39.677777+00:00",
+  "elapsed_ms": 8347.87,
+  "prompt_metrics": {
+    "chars": 5559,
+    "bytes_utf8": 5559,
+    "lines": 166,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 745,
+    "bytes_utf8": 745,
+    "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": 401,
+      "bytes_utf8": 401,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13682,
+      "cached_input_tokens": 12032,
+      "output_tokens": 241,
+      "reasoning_output_tokens": 130
+    }
+  },
+  "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_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,166 @@
+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: n2
+- dataset_name: Airfoil Self-Noise
+- table_name: n2
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition.
+- task_type: regression
+- target_column: sound_pressure_level
+- main_row_count: 1503
+- important_fields:
+- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency.
+- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack.
+- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length.
+- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition.
+- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness.
+- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response.
+- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']]
+- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level']
+- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise
+
+SQLite schema snapshot:
+{
+  "table_name": "n2",
+  "quoted_table_name": "\"n2\"",
+  "row_count": 1503,
+  "columns": [
+    {
+      "name": "frequency",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "angle_of_attack",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "chord_length",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "free_stream_velocity",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "displacement_thickness",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sound_pressure_level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "frequency": "800",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "126.201"
+    },
+    {
+      "frequency": "1000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.201"
+    },
+    {
+      "frequency": "1250",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "125.951"
+    },
+    {
+      "frequency": "1600",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.591"
+    },
+    {
+      "frequency": "2000",
+      "angle_of_attack": "0",
+      "chord_length": "0.3048",
+      "free_stream_velocity": "71.3",
+      "displacement_thickness": "0.00266337",
+      "sound_pressure_level": "127.461"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n2",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=displacement_thickness.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "displacement_thickness",
+    "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": 0.015576,
+    "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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f7-a38d-7f21-ac1f-69adce10d6bf"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"displacement_thickness\\\" AS REAL) <= 0.015576 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n2\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"displacement_thickness\\\" and measure_threshold fixed at 0.015576. Cast to REAL because the schema stores numeric fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13682,"cached_input_tokens":12032,"output_tokens":241,"reasoning_output_tokens":130}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"displacement_thickness\" AS REAL) <= 0.015576 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n2\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"displacement_thickness\" and measure_threshold fixed at 0.015576. Cast to REAL because the schema stores numeric fields as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5825, "bytes_utf8": 5825, "lines": 168, "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": 1738, "bytes_utf8": 1738, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13733, "cached_input_tokens": 12672, "output_tokens": 2999, "reasoning_output_tokens": 2440}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/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": "n2",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n2_309b5f85fd9ee3b2",
+    "api_calls": 0,
+    "input_tokens": 13733,
+    "cached_input_tokens": 12672,
+    "output_tokens": 2999,
+    "total_tokens": 16732,
+    "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": 42457.7,
+    "sql_execution_elapsed_ms_total": 5.51,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/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": "2026-05-19T15:47:28.576317+00:00",
+  "ended_at": "2026-05-19T15:48:11.034046+00:00",
+  "elapsed_ms": 42457.7,
+  "prompt_metrics": {
+    "chars": 5825,
+    "bytes_utf8": 5825,
+    "lines": 168,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2310,
+    "bytes_utf8": 2310,
+    "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": 1738,
+      "bytes_utf8": 1738,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13733,
+      "cached_input_tokens": 12672,
+      "output_tokens": 2999,
+      "reasoning_output_tokens": 2440
+    }
+  },
+  "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"
+}