Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0239285d30571f07/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7149, "bytes_utf8": 7149, "lines": 228, "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": 372, "bytes_utf8": 372, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14476, "cached_input_tokens": 12032, "output_tokens": 296, "reasoning_output_tokens": 188}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0239285d30571f07/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": "n11",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n11_0239285d30571f07",
+    "api_calls": 0,
+    "input_tokens": 14476,
+    "cached_input_tokens": 12032,
+    "output_tokens": 296,
+    "total_tokens": 14772,
+    "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": 8374.49,
+    "sql_execution_elapsed_ms_total": 64.85,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0239285d30571f07/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0239285d30571f07/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": "2026-05-19T15:41:05.902810+00:00",
+  "ended_at": "2026-05-19T15:41:14.277334+00:00",
+  "elapsed_ms": 8374.49,
+  "prompt_metrics": {
+    "chars": 7149,
+    "bytes_utf8": 7149,
+    "lines": 228,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 735,
+    "bytes_utf8": 735,
+    "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": 372,
+      "bytes_utf8": 372,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14476,
+      "cached_input_tokens": 12032,
+      "output_tokens": 296,
+      "reasoning_output_tokens": 188
+    }
+  },
+  "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_b/n11/artifacts/v2q_n11_0239285d30571f07/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,228 @@
+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: n11
+- dataset_name: Magic Gamma Telescope
+- table_name: n11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `g`.
+- task_type: classification
+- target_column: g
+- main_row_count: 19019
+- important_fields:
+- 28.7967: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 28.7967.
+- 16.0021: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 16.0021.
+- 2.6449: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 2.6449.
+- 0.3918: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.3918.
+- 0.1982: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.1982.
+- 27.7004: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 27.7004.
+- 22.011: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 22.011.
+- -8.2027: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 8.2027.
+- 40.092: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 40.092.
+- 81.8828: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 81.8828.
+- g: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for g.
+- useful_field_combinations: [['g', '2.6449', 'g'], ['2.6449', '0.3918', 'g']]
+- fields_requiring_caution: ['g', '2.6449', '0.3918', '0.1982']
+- source_url: https://archive.ics.uci.edu/dataset/159/magic+gamma+telescope
+
+SQLite schema snapshot:
+{
+  "table_name": "n11",
+  "quoted_table_name": "\"n11\"",
+  "row_count": 19019,
+  "columns": [
+    {
+      "name": "28.7967",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "16.0021",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "2.6449",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.3918",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.1982",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "27.7004",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "22.011",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "-8.2027",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "40.092",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "81.8828",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "28.7967": "31.6036",
+      "16.0021": "11.7235",
+      "2.6449": "2.5185",
+      "0.3918": "0.5303",
+      "0.1982": "0.3773",
+      "27.7004": "26.2722",
+      "22.011": "23.8238",
+      "-8.2027": "-9.9574",
+      "40.092": "6.3609",
+      "81.8828": "205.261",
+      "g": "g"
+    },
+    {
+      "28.7967": "162.052",
+      "16.0021": "136.031",
+      "2.6449": "4.0612",
+      "0.3918": "0.0374",
+      "0.1982": "0.0187",
+      "27.7004": "116.741",
+      "22.011": "-64.858",
+      "-8.2027": "-45.216",
+      "40.092": "76.96",
+      "81.8828": "256.788",
+      "g": "g"
+    },
+    {
+      "28.7967": "23.8172",
+      "16.0021": "9.5728",
+      "2.6449": "2.3385",
+      "0.3918": "0.6147",
+      "0.1982": "0.3922",
+      "27.7004": "27.2107",
+      "22.011": "-6.4633",
+      "-8.2027": "-7.1513",
+      "40.092": "10.449",
+      "81.8828": "116.737",
+      "g": "g"
+    },
+    {
+      "28.7967": "75.1362",
+      "16.0021": "30.9205",
+      "2.6449": "3.1611",
+      "0.3918": "0.3168",
+      "0.1982": "0.1832",
+      "27.7004": "-5.5277",
+      "22.011": "28.5525",
+      "-8.2027": "21.8393",
+      "40.092": "4.648",
+      "81.8828": "356.462",
+      "g": "g"
+    },
+    {
+      "28.7967": "51.624",
+      "16.0021": "21.1502",
+      "2.6449": "2.9085",
+      "0.3918": "0.242",
+      "0.1982": "0.134",
+      "27.7004": "50.8761",
+      "22.011": "43.1887",
+      "-8.2027": "9.8145",
+      "40.092": "3.613",
+      "81.8828": "238.098",
+      "g": "g"
+    }
+  ]
+}
+
+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": "n11",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=g, measure_col=2.6449.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "g",
+    "measure_col": "2.6449",
+    "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": 2.9462,
+    "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_b/n11/artifacts/v2q_n11_0239285d30571f07/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e5-daf5-7071-9b1b-2fa861f32573"}
+{"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  \\\"g\\\",\\n  AVG(CAST(\\\"2.6449\\\" AS REAL)) OVER (PARTITION BY \\\"g\\\") AS \\\"avg_measure\\\"\\nFROM \\\"n11\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"g\\\" and measure_col=\\\"2.6449\\\". Cast the measure to REAL because the schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14476,"cached_input_tokens":12032,"output_tokens":296,"reasoning_output_tokens":188}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0239285d30571f07/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"g\",\n  AVG(CAST(\"2.6449\" AS REAL)) OVER (PARTITION BY \"g\") AS \"avg_measure\"\nFROM \"n11\"\nORDER BY \"avg_measure\" DESC;","notes":"Applied the Window Partition Average template with group_col=\"g\" and measure_col=\"2.6449\". Cast the measure to REAL because the schema stores it as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_034cc6d6c16053cc/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7244, "bytes_utf8": 7244, "lines": 228, "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": 982, "bytes_utf8": 982, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14503, "cached_input_tokens": 13696, "output_tokens": 1217, "reasoning_output_tokens": 898}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_034cc6d6c16053cc/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": "n11",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n11_034cc6d6c16053cc",
+    "api_calls": 0,
+    "input_tokens": 14503,
+    "cached_input_tokens": 13696,
+    "output_tokens": 1217,
+    "total_tokens": 15720,
+    "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": 25710.93,
+    "sql_execution_elapsed_ms_total": 48.65,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_034cc6d6c16053cc/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_034cc6d6c16053cc/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": "2026-05-19T15:48:26.233243+00:00",
+  "ended_at": "2026-05-19T15:48:51.944208+00:00",
+  "elapsed_ms": 25710.93,
+  "prompt_metrics": {
+    "chars": 7244,
+    "bytes_utf8": 7244,
+    "lines": 228,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1797,
+    "bytes_utf8": 1797,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 982,
+      "bytes_utf8": 982,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14503,
+      "cached_input_tokens": 13696,
+      "output_tokens": 1217,
+      "reasoning_output_tokens": 898
+    }
+  },
+  "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_b/n11/artifacts/v2q_n11_034cc6d6c16053cc/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,228 @@
+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: n11
+- dataset_name: Magic Gamma Telescope
+- table_name: n11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `g`.
+- task_type: classification
+- target_column: g
+- main_row_count: 19019
+- important_fields:
+- 28.7967: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 28.7967.
+- 16.0021: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 16.0021.
+- 2.6449: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 2.6449.
+- 0.3918: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.3918.
+- 0.1982: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.1982.
+- 27.7004: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 27.7004.
+- 22.011: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 22.011.
+- -8.2027: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 8.2027.
+- 40.092: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 40.092.
+- 81.8828: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 81.8828.
+- g: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for g.
+- useful_field_combinations: [['g', '2.6449', 'g'], ['2.6449', '0.3918', 'g']]
+- fields_requiring_caution: ['g', '2.6449', '0.3918', '0.1982']
+- source_url: https://archive.ics.uci.edu/dataset/159/magic+gamma+telescope
+
+SQLite schema snapshot:
+{
+  "table_name": "n11",
+  "quoted_table_name": "\"n11\"",
+  "row_count": 19019,
+  "columns": [
+    {
+      "name": "28.7967",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "16.0021",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "2.6449",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.3918",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.1982",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "27.7004",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "22.011",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "-8.2027",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "40.092",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "81.8828",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "28.7967": "31.6036",
+      "16.0021": "11.7235",
+      "2.6449": "2.5185",
+      "0.3918": "0.5303",
+      "0.1982": "0.3773",
+      "27.7004": "26.2722",
+      "22.011": "23.8238",
+      "-8.2027": "-9.9574",
+      "40.092": "6.3609",
+      "81.8828": "205.261",
+      "g": "g"
+    },
+    {
+      "28.7967": "162.052",
+      "16.0021": "136.031",
+      "2.6449": "4.0612",
+      "0.3918": "0.0374",
+      "0.1982": "0.0187",
+      "27.7004": "116.741",
+      "22.011": "-64.858",
+      "-8.2027": "-45.216",
+      "40.092": "76.96",
+      "81.8828": "256.788",
+      "g": "g"
+    },
+    {
+      "28.7967": "23.8172",
+      "16.0021": "9.5728",
+      "2.6449": "2.3385",
+      "0.3918": "0.6147",
+      "0.1982": "0.3922",
+      "27.7004": "27.2107",
+      "22.011": "-6.4633",
+      "-8.2027": "-7.1513",
+      "40.092": "10.449",
+      "81.8828": "116.737",
+      "g": "g"
+    },
+    {
+      "28.7967": "75.1362",
+      "16.0021": "30.9205",
+      "2.6449": "3.1611",
+      "0.3918": "0.3168",
+      "0.1982": "0.1832",
+      "27.7004": "-5.5277",
+      "22.011": "28.5525",
+      "-8.2027": "21.8393",
+      "40.092": "4.648",
+      "81.8828": "356.462",
+      "g": "g"
+    },
+    {
+      "28.7967": "51.624",
+      "16.0021": "21.1502",
+      "2.6449": "2.9085",
+      "0.3918": "0.242",
+      "0.1982": "0.134",
+      "27.7004": "50.8761",
+      "22.011": "43.1887",
+      "-8.2027": "9.8145",
+      "40.092": "3.613",
+      "81.8828": "238.098",
+      "g": "g"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n11",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=g, measure_col=0.1982.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "g",
+    "measure_col": "0.1982",
+    "top_k": 14,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.28525,
+    "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       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_034cc6d6c16053cc/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40ec-9316-79e1-8cea-c4f329ae28e2"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1993606, Requested 15138. Please try again in 262ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"g\\\",\\n    CAST(\\\"0.1982\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"g\\\"\\n      ORDER BY CAST(\\\"0.1982\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"g\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"n11\\\"\\n  WHERE \\\"g\\\" IS NOT NULL\\n    AND \\\"0.1982\\\" IS NOT NULL\\n),\\n\\\"cutoff\\\" AS (\\n  SELECT\\n    \\\"g\\\",\\n    \\\"measure_value\\\",\\n    \\\"rn\\\",\\n    \\\"cnt\\\",\\n    CAST((0.95 * \\\"cnt\\\") AS INTEGER) + ((0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER)) AS \\\"target_rn\\\"\\n  FROM \\\"ranked\\\"\\n)\\nSELECT\\n  \\\"g\\\",\\n  MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"cutoff\\\"\\nWHERE \\\"rn\\\" >= \\\"target_rn\\\"\\nGROUP BY \\\"g\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per group via window functions and casts the TEXT measure column \\\"0.1982\\\" to REAL.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14503,"cached_input_tokens":13696,"output_tokens":1217,"reasoning_output_tokens":898}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_034cc6d6c16053cc/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"g\",\n    CAST(\"0.1982\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"g\"\n      ORDER BY CAST(\"0.1982\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"g\"\n    ) AS \"cnt\"\n  FROM \"n11\"\n  WHERE \"g\" IS NOT NULL\n    AND \"0.1982\" IS NOT NULL\n),\n\"cutoff\" AS (\n  SELECT\n    \"g\",\n    \"measure_value\",\n    \"rn\",\n    \"cnt\",\n    CAST((0.95 * \"cnt\") AS INTEGER) + ((0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER)) AS \"target_rn\"\n  FROM \"ranked\"\n)\nSELECT\n  \"g\",\n  MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"cutoff\"\nWHERE \"rn\" >= \"target_rn\"\nGROUP BY \"g\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per group via window functions and casts the TEXT measure column \"0.1982\" to REAL."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_037f3d76812ee306/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=g.
+Result preview: [{"g": "h", "support": 6688}, {"g": "g", "support": 12331}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_037f3d76812ee306/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: n11
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_n11_037f3d76812ee306
+-- problem_id: v2p_n11_73f80915dd24c4ae
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "g",
+  COUNT(*) AS support
+FROM "n11"
+GROUP BY "g"
+ORDER BY support ASC, "g"
+LIMIT 10;

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_037f3d76812ee306/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n  \"g\",\n  COUNT(*) AS support\nFROM \"n11\"\nGROUP BY \"g\"\nORDER BY support ASC, \"g\"\nLIMIT 10;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"g\\\",\\n  COUNT(*) AS support\\nFROM \\\"n11\\\"\\nGROUP BY \\\"g\\\"\\nORDER BY support ASC, \\\"g\\\"\\nLIMIT 10;\", \"columns\": [\"g\", \"support\"], \"rows\": [{\"g\": \"h\", \"support\": 6688}, {\"g\": \"g\", \"support\": 12331}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.67}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_037f3d76812ee306/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "n11",
+  "started_at": "2026-05-19T16:03:25.553460+00:00",
+  "ended_at": "2026-05-19T16:03:37.281671+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n11_037f3d76812ee306",
+    "problem_id": "v2p_n11_73f80915dd24c4ae",
+    "dataset_id": "n11",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=g.",
+    "bindings": {
+      "group_col": "g",
+      "top_k": 10,
+      "top_n": 4,
+      "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": 24.06035,
+      "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
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/2",
+      "binding_index=125"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/sql/v2q_n11_037f3d76812ee306.sql",
+  "usage_summary": {
+    "dataset_id": "n11",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n11_037f3d76812ee306",
+    "api_calls": 0,
+    "input_tokens": 14469,
+    "cached_input_tokens": 12032,
+    "output_tokens": 187,
+    "total_tokens": 14656,
+    "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": 10711.61,
+    "sql_execution_elapsed_ms_total": 8.67,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_037f3d76812ee306/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_037f3d76812ee306/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:03:28.714891+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3157.7, "started_at": "2026-05-19T16:03:25.556459+00:00", "ended_at": "2026-05-19T16:03:28.714192+00:00", "prompt_metrics": {"chars": 7059, "bytes_utf8": 7059, "lines": 226, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-4c11-73e3-8e00-fa808e828dad\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:03:37.270892+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7553.91, "started_at": "2026-05-19T16:03:29.715619+00:00", "ended_at": "2026-05-19T16:03:37.269569+00:00", "prompt_metrics": {"chars": 7059, "bytes_utf8": 7059, "lines": 226, "estimated_tokens": null}, "response_metrics": {"chars": 276, "bytes_utf8": 276, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14469, "cached_input_tokens": 12032, "output_tokens": 187, "reasoning_output_tokens": 100}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"g\\\",\\n  COUNT(*) AS support\\nFROM \\\"n11\\\"\\nGROUP BY \\\"g\\\"\\nORDER BY support ASC, \\\"g\\\"\\nLIMIT 10;\",\"notes\":\"Uses the planned Low-Support Group Count template with group_col bound to \\\"g\\\" and top_k=10.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_037f3d76812ee306/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n11",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n11_037f3d76812ee306",
+  "api_calls": 0,
+  "input_tokens": 14469,
+  "cached_input_tokens": 12032,
+  "output_tokens": 187,
+  "total_tokens": 14656,
+  "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": 10711.61,
+  "sql_execution_elapsed_ms_total": 8.67,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_037f3d76812ee306/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_04773d7cdf3a5df9/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=g, measure_col=2.6449.
+Result preview: [{"g": "g", "group_value": 34329.9059}, {"g": "h", "group_value": 19399.2718}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_04773d7cdf3a5df9/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: n11
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_n11_04773d7cdf3a5df9
+-- problem_id: v2p_n11_5caea00bc70ad425
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "g", SUM(CAST("2.6449" AS REAL)) AS group_value
+    FROM "n11"
+    GROUP BY "g"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT grp."g", grp.group_value
+FROM grouped AS grp
+CROSS JOIN total AS t
+WHERE grp.group_value > t.total_value * 0.05
+ORDER BY grp.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_04773d7cdf3a5df9/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"g\", SUM(CAST(\"2.6449\" AS REAL)) AS group_value\n    FROM \"n11\"\n    GROUP BY \"g\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT grp.\"g\", grp.group_value\nFROM grouped AS grp\nCROSS JOIN total AS t\nWHERE grp.group_value > t.total_value * 0.05\nORDER BY grp.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"g\\\", SUM(CAST(\\\"2.6449\\\" AS REAL)) AS group_value\\n    FROM \\\"n11\\\"\\n    GROUP BY \\\"g\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT grp.\\\"g\\\", grp.group_value\\nFROM grouped AS grp\\nCROSS JOIN total AS t\\nWHERE grp.group_value > t.total_value * 0.05\\nORDER BY grp.group_value DESC;\", \"columns\": [\"g\", \"group_value\"], \"rows\": [{\"g\": \"g\", \"group_value\": 34329.9059}, {\"g\": \"h\", \"group_value\": 19399.2718}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.23}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_04773d7cdf3a5df9/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "n11",
+  "started_at": "2026-05-19T15:44:52.018169+00:00",
+  "ended_at": "2026-05-19T15:45:01.989976+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n11_04773d7cdf3a5df9",
+    "problem_id": "v2p_n11_5caea00bc70ad425",
+    "dataset_id": "n11",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=g, measure_col=2.6449.",
+    "bindings": {
+      "group_col": "g",
+      "measure_col": "2.6449",
+      "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": 2.9462,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "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;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=2/2",
+      "binding_index=72"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/sql/v2q_n11_04773d7cdf3a5df9.sql",
+  "usage_summary": {
+    "dataset_id": "n11",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n11_04773d7cdf3a5df9",
+    "api_calls": 0,
+    "input_tokens": 14603,
+    "cached_input_tokens": 13696,
+    "output_tokens": 496,
+    "total_tokens": 15099,
+    "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": 9955.82,
+    "sql_execution_elapsed_ms_total": 11.23,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_04773d7cdf3a5df9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_04773d7cdf3a5df9/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:45:01.977043+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9955.82, "started_at": "2026-05-19T15:44:52.020336+00:00", "ended_at": "2026-05-19T15:45:01.976182+00:00", "prompt_metrics": {"chars": 7621, "bytes_utf8": 7621, "lines": 228, "estimated_tokens": null}, "response_metrics": {"chars": 590, "bytes_utf8": 590, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14603, "cached_input_tokens": 13696, "output_tokens": 496, "reasoning_output_tokens": 333}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"g\\\", SUM(CAST(\\\"2.6449\\\" AS REAL)) AS group_value\\n    FROM \\\"n11\\\"\\n    GROUP BY \\\"g\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT grp.\\\"g\\\", grp.group_value\\nFROM grouped AS grp\\nCROSS JOIN total AS t\\nWHERE grp.group_value > t.total_value * 0.05\\nORDER BY grp.group_value DESC;\",\"notes\":\"Used the required template with group_col=\\\"g\\\" and measure_col=\\\"2.6449\\\". CAST to REAL is necessary because the SQLite schema stores the measure column as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_04773d7cdf3a5df9/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n11",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n11_04773d7cdf3a5df9",
+  "api_calls": 0,
+  "input_tokens": 14603,
+  "cached_input_tokens": 13696,
+  "output_tokens": 496,
+  "total_tokens": 15099,
+  "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": 9955.82,
+  "sql_execution_elapsed_ms_total": 11.23,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_04773d7cdf3a5df9/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_07b3b225115bf2d8/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7471, "bytes_utf8": 7471, "lines": 230, "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": 530, "bytes_utf8": 530, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14584, "cached_input_tokens": 12032, "output_tokens": 601, "reasoning_output_tokens": 433}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_07b3b225115bf2d8/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": "n11",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n11_07b3b225115bf2d8",
+    "api_calls": 0,
+    "input_tokens": 14584,
+    "cached_input_tokens": 12032,
+    "output_tokens": 601,
+    "total_tokens": 15185,
+    "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": 35326.7,
+    "sql_execution_elapsed_ms_total": 96.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_07b3b225115bf2d8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_07b3b225115bf2d8/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": "2026-05-19T15:32:56.356976+00:00",
+  "ended_at": "2026-05-19T15:33:31.683708+00:00",
+  "elapsed_ms": 35326.7,
+  "prompt_metrics": {
+    "chars": 7471,
+    "bytes_utf8": 7471,
+    "lines": 230,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2241,
+    "bytes_utf8": 2241,
+    "lines": 8,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 530,
+      "bytes_utf8": 530,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14584,
+      "cached_input_tokens": 12032,
+      "output_tokens": 601,
+      "reasoning_output_tokens": 433
+    }
+  },
+  "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_b/n11/artifacts/v2q_n11_07b3b225115bf2d8/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,230 @@
+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: n11
+- dataset_name: Magic Gamma Telescope
+- table_name: n11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `g`.
+- task_type: classification
+- target_column: g
+- main_row_count: 19019
+- important_fields:
+- 28.7967: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 28.7967.
+- 16.0021: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 16.0021.
+- 2.6449: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 2.6449.
+- 0.3918: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.3918.
+- 0.1982: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.1982.
+- 27.7004: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 27.7004.
+- 22.011: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 22.011.
+- -8.2027: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 8.2027.
+- 40.092: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 40.092.
+- 81.8828: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 81.8828.
+- g: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for g.
+- useful_field_combinations: [['g', '2.6449', 'g'], ['2.6449', '0.3918', 'g']]
+- fields_requiring_caution: ['g', '2.6449', '0.3918', '0.1982']
+- source_url: https://archive.ics.uci.edu/dataset/159/magic+gamma+telescope
+
+SQLite schema snapshot:
+{
+  "table_name": "n11",
+  "quoted_table_name": "\"n11\"",
+  "row_count": 19019,
+  "columns": [
+    {
+      "name": "28.7967",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "16.0021",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "2.6449",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.3918",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.1982",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "27.7004",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "22.011",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "-8.2027",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "40.092",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "81.8828",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "28.7967": "31.6036",
+      "16.0021": "11.7235",
+      "2.6449": "2.5185",
+      "0.3918": "0.5303",
+      "0.1982": "0.3773",
+      "27.7004": "26.2722",
+      "22.011": "23.8238",
+      "-8.2027": "-9.9574",
+      "40.092": "6.3609",
+      "81.8828": "205.261",
+      "g": "g"
+    },
+    {
+      "28.7967": "162.052",
+      "16.0021": "136.031",
+      "2.6449": "4.0612",
+      "0.3918": "0.0374",
+      "0.1982": "0.0187",
+      "27.7004": "116.741",
+      "22.011": "-64.858",
+      "-8.2027": "-45.216",
+      "40.092": "76.96",
+      "81.8828": "256.788",
+      "g": "g"
+    },
+    {
+      "28.7967": "23.8172",
+      "16.0021": "9.5728",
+      "2.6449": "2.3385",
+      "0.3918": "0.6147",
+      "0.1982": "0.3922",
+      "27.7004": "27.2107",
+      "22.011": "-6.4633",
+      "-8.2027": "-7.1513",
+      "40.092": "10.449",
+      "81.8828": "116.737",
+      "g": "g"
+    },
+    {
+      "28.7967": "75.1362",
+      "16.0021": "30.9205",
+      "2.6449": "3.1611",
+      "0.3918": "0.3168",
+      "0.1982": "0.1832",
+      "27.7004": "-5.5277",
+      "22.011": "28.5525",
+      "-8.2027": "21.8393",
+      "40.092": "4.648",
+      "81.8828": "356.462",
+      "g": "g"
+    },
+    {
+      "28.7967": "51.624",
+      "16.0021": "21.1502",
+      "2.6449": "2.9085",
+      "0.3918": "0.242",
+      "0.1982": "0.134",
+      "27.7004": "50.8761",
+      "22.011": "43.1887",
+      "-8.2027": "9.8145",
+      "40.092": "3.613",
+      "81.8828": "238.098",
+      "g": "g"
+    }
+  ]
+}
+
+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": "n11",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=g, measure_col=27.7004.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "g",
+    "measure_col": "27.7004",
+    "item_col": "22.011",
+    "top_k": 10,
+    "top_n": 4,
+    "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": 24.06035,
+    "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_b/n11/artifacts/v2q_n11_07b3b225115bf2d8/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,8 @@
+{"type":"thread.started","thread_id":"019e40de-62ae-70f3-a65c-567aa9f30d01"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1990267, Requested 15219. Please try again in 164ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1986147, Requested 15219. Please try again in 40ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15219. Please try again in 456ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1991866, Requested 15219. Please try again in 212ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"g\\\", \\\"22.011\\\",\\n       SUM(CAST(\\\"27.7004\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"27.7004\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"27.7004\\\" AS REAL))) OVER (PARTITION BY \\\"g\\\") AS share_within_group\\nFROM \\\"n11\\\"\\nGROUP BY \\\"g\\\", \\\"22.011\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"g\\\", item_col=\\\"22.011\\\", and measure_col=\\\"27.7004\\\". CAST to REAL because the measure column is stored as TEXT in the schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14584,"cached_input_tokens":12032,"output_tokens":601,"reasoning_output_tokens":433}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_07b3b225115bf2d8/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"g\", \"22.011\",\n       SUM(CAST(\"27.7004\" AS REAL)) AS total_measure,\n       SUM(CAST(\"27.7004\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"27.7004\" AS REAL))) OVER (PARTITION BY \"g\") AS share_within_group\nFROM \"n11\"\nGROUP BY \"g\", \"22.011\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=\"g\", item_col=\"22.011\", and measure_col=\"27.7004\". CAST to REAL because the measure column is stored as TEXT in the schema."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0947c89ffe9f4b01/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7624, "bytes_utf8": 7624, "lines": 228, "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": 579, "bytes_utf8": 579, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14601, "cached_input_tokens": 13696, "output_tokens": 429, "reasoning_output_tokens": 265}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0947c89ffe9f4b01/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": "n11",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n11_0947c89ffe9f4b01",
+    "api_calls": 0,
+    "input_tokens": 14601,
+    "cached_input_tokens": 13696,
+    "output_tokens": 429,
+    "total_tokens": 15030,
+    "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": 11230.84,
+    "sql_execution_elapsed_ms_total": 10.63,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0947c89ffe9f4b01/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0947c89ffe9f4b01/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": "2026-05-19T15:47:05.775242+00:00",
+  "ended_at": "2026-05-19T15:47:17.006130+00:00",
+  "elapsed_ms": 11230.84,
+  "prompt_metrics": {
+    "chars": 7624,
+    "bytes_utf8": 7624,
+    "lines": 228,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 946,
+    "bytes_utf8": 946,
+    "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": 579,
+      "bytes_utf8": 579,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14601,
+      "cached_input_tokens": 13696,
+      "output_tokens": 429,
+      "reasoning_output_tokens": 265
+    }
+  },
+  "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_b/n11/artifacts/v2q_n11_0947c89ffe9f4b01/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,228 @@
+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: n11
+- dataset_name: Magic Gamma Telescope
+- table_name: n11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `g`.
+- task_type: classification
+- target_column: g
+- main_row_count: 19019
+- important_fields:
+- 28.7967: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 28.7967.
+- 16.0021: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 16.0021.
+- 2.6449: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 2.6449.
+- 0.3918: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.3918.
+- 0.1982: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.1982.
+- 27.7004: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 27.7004.
+- 22.011: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 22.011.
+- -8.2027: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 8.2027.
+- 40.092: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 40.092.
+- 81.8828: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 81.8828.
+- g: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for g.
+- useful_field_combinations: [['g', '2.6449', 'g'], ['2.6449', '0.3918', 'g']]
+- fields_requiring_caution: ['g', '2.6449', '0.3918', '0.1982']
+- source_url: https://archive.ics.uci.edu/dataset/159/magic+gamma+telescope
+
+SQLite schema snapshot:
+{
+  "table_name": "n11",
+  "quoted_table_name": "\"n11\"",
+  "row_count": 19019,
+  "columns": [
+    {
+      "name": "28.7967",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "16.0021",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "2.6449",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.3918",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.1982",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "27.7004",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "22.011",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "-8.2027",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "40.092",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "81.8828",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "28.7967": "31.6036",
+      "16.0021": "11.7235",
+      "2.6449": "2.5185",
+      "0.3918": "0.5303",
+      "0.1982": "0.3773",
+      "27.7004": "26.2722",
+      "22.011": "23.8238",
+      "-8.2027": "-9.9574",
+      "40.092": "6.3609",
+      "81.8828": "205.261",
+      "g": "g"
+    },
+    {
+      "28.7967": "162.052",
+      "16.0021": "136.031",
+      "2.6449": "4.0612",
+      "0.3918": "0.0374",
+      "0.1982": "0.0187",
+      "27.7004": "116.741",
+      "22.011": "-64.858",
+      "-8.2027": "-45.216",
+      "40.092": "76.96",
+      "81.8828": "256.788",
+      "g": "g"
+    },
+    {
+      "28.7967": "23.8172",
+      "16.0021": "9.5728",
+      "2.6449": "2.3385",
+      "0.3918": "0.6147",
+      "0.1982": "0.3922",
+      "27.7004": "27.2107",
+      "22.011": "-6.4633",
+      "-8.2027": "-7.1513",
+      "40.092": "10.449",
+      "81.8828": "116.737",
+      "g": "g"
+    },
+    {
+      "28.7967": "75.1362",
+      "16.0021": "30.9205",
+      "2.6449": "3.1611",
+      "0.3918": "0.3168",
+      "0.1982": "0.1832",
+      "27.7004": "-5.5277",
+      "22.011": "28.5525",
+      "-8.2027": "21.8393",
+      "40.092": "4.648",
+      "81.8828": "356.462",
+      "g": "g"
+    },
+    {
+      "28.7967": "51.624",
+      "16.0021": "21.1502",
+      "2.6449": "2.9085",
+      "0.3918": "0.242",
+      "0.1982": "0.134",
+      "27.7004": "50.8761",
+      "22.011": "43.1887",
+      "-8.2027": "9.8145",
+      "40.092": "3.613",
+      "81.8828": "238.098",
+      "g": "g"
+    }
+  ]
+}
+
+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": "n11",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=g, measure_col=-8.2027.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "g",
+    "measure_col": "-8.2027",
+    "top_k": 17,
+    "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": 8.481388,
+    "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_b/n11/artifacts/v2q_n11_0947c89ffe9f4b01/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40eb-58ed-7ab2-a005-e836521ba310"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"g\\\", SUM(CAST(\\\"-8.2027\\\" AS REAL)) AS group_value\\n    FROM \\\"n11\\\"\\n    GROUP BY \\\"g\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"g\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required template with group_col=\\\"g\\\" and measure_col=\\\"-8.2027\\\". CAST to REAL is necessary because the schema stores numeric-looking fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14601,"cached_input_tokens":13696,"output_tokens":429,"reasoning_output_tokens":265}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0947c89ffe9f4b01/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"g\", SUM(CAST(\"-8.2027\" AS REAL)) AS group_value\n    FROM \"n11\"\n    GROUP BY \"g\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"g\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Used the required template with group_col=\"g\" and measure_col=\"-8.2027\". CAST to REAL is necessary because the schema stores numeric-looking fields as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/n11/artifacts/v2q_n11_0af37e8d7bfc761f/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:06:08.675384+00:00",
+  "ended_at": "2026-05-19T16:06:11.982326+00:00",
+  "elapsed_ms": 3306.91,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7237,
+    "bytes_utf8": 7237,
+    "lines": 228,
+    "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_b/n11/artifacts/v2q_n11_0af37e8d7bfc761f/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:06:12.983943+00:00",
+  "ended_at": "2026-05-19T16:06:16.260440+00:00",
+  "elapsed_ms": 3276.46,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7237,
+    "bytes_utf8": 7237,
+    "lines": 228,
+    "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_b/n11/artifacts/v2q_n11_0af37e8d7bfc761f/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,228 @@
+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: n11
+- dataset_name: Magic Gamma Telescope
+- table_name: n11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `g`.
+- task_type: classification
+- target_column: g
+- main_row_count: 19019
+- important_fields:
+- 28.7967: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 28.7967.
+- 16.0021: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 16.0021.
+- 2.6449: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 2.6449.
+- 0.3918: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.3918.
+- 0.1982: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.1982.
+- 27.7004: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 27.7004.
+- 22.011: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 22.011.
+- -8.2027: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 8.2027.
+- 40.092: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 40.092.
+- 81.8828: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 81.8828.
+- g: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for g.
+- useful_field_combinations: [['g', '2.6449', 'g'], ['2.6449', '0.3918', 'g']]
+- fields_requiring_caution: ['g', '2.6449', '0.3918', '0.1982']
+- source_url: https://archive.ics.uci.edu/dataset/159/magic+gamma+telescope
+
+SQLite schema snapshot:
+{
+  "table_name": "n11",
+  "quoted_table_name": "\"n11\"",
+  "row_count": 19019,
+  "columns": [
+    {
+      "name": "28.7967",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "16.0021",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "2.6449",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.3918",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.1982",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "27.7004",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "22.011",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "-8.2027",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "40.092",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "81.8828",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "28.7967": "31.6036",
+      "16.0021": "11.7235",
+      "2.6449": "2.5185",
+      "0.3918": "0.5303",
+      "0.1982": "0.3773",
+      "27.7004": "26.2722",
+      "22.011": "23.8238",
+      "-8.2027": "-9.9574",
+      "40.092": "6.3609",
+      "81.8828": "205.261",
+      "g": "g"
+    },
+    {
+      "28.7967": "162.052",
+      "16.0021": "136.031",
+      "2.6449": "4.0612",
+      "0.3918": "0.0374",
+      "0.1982": "0.0187",
+      "27.7004": "116.741",
+      "22.011": "-64.858",
+      "-8.2027": "-45.216",
+      "40.092": "76.96",
+      "81.8828": "256.788",
+      "g": "g"
+    },
+    {
+      "28.7967": "23.8172",
+      "16.0021": "9.5728",
+      "2.6449": "2.3385",
+      "0.3918": "0.6147",
+      "0.1982": "0.3922",
+      "27.7004": "27.2107",
+      "22.011": "-6.4633",
+      "-8.2027": "-7.1513",
+      "40.092": "10.449",
+      "81.8828": "116.737",
+      "g": "g"
+    },
+    {
+      "28.7967": "75.1362",
+      "16.0021": "30.9205",
+      "2.6449": "3.1611",
+      "0.3918": "0.3168",
+      "0.1982": "0.1832",
+      "27.7004": "-5.5277",
+      "22.011": "28.5525",
+      "-8.2027": "21.8393",
+      "40.092": "4.648",
+      "81.8828": "356.462",
+      "g": "g"
+    },
+    {
+      "28.7967": "51.624",
+      "16.0021": "21.1502",
+      "2.6449": "2.9085",
+      "0.3918": "0.242",
+      "0.1982": "0.134",
+      "27.7004": "50.8761",
+      "22.011": "43.1887",
+      "-8.2027": "9.8145",
+      "40.092": "3.613",
+      "81.8828": "238.098",
+      "g": "g"
+    }
+  ]
+}
+
+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": "n11",
+  "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=g, measure_col=40.092.",
+  "planned_template_id": "tpl_tpch_thresholded_group_ranking",
+  "bindings": {
+    "group_col": "g",
+    "measure_col": "40.092",
+    "top_k": 18,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 33.58614,
+    "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_b/n11/artifacts/v2q_n11_0af37e8d7bfc761f/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,228 @@
+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: n11
+- dataset_name: Magic Gamma Telescope
+- table_name: n11
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `g`.
+- task_type: classification
+- target_column: g
+- main_row_count: 19019
+- important_fields:
+- 28.7967: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 28.7967.
+- 16.0021: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 16.0021.
+- 2.6449: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 2.6449.
+- 0.3918: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.3918.
+- 0.1982: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for 0.1982.
+- 27.7004: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 27.7004.
+- 22.011: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 22.011.
+- -8.2027: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 8.2027.
+- 40.092: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 40.092.
+- 81.8828: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for 81.8828.
+- g: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for g.
+- useful_field_combinations: [['g', '2.6449', 'g'], ['2.6449', '0.3918', 'g']]
+- fields_requiring_caution: ['g', '2.6449', '0.3918', '0.1982']
+- source_url: https://archive.ics.uci.edu/dataset/159/magic+gamma+telescope
+
+SQLite schema snapshot:
+{
+  "table_name": "n11",
+  "quoted_table_name": "\"n11\"",
+  "row_count": 19019,
+  "columns": [
+    {
+      "name": "28.7967",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "16.0021",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "2.6449",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.3918",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "0.1982",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "27.7004",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "22.011",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "-8.2027",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "40.092",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "81.8828",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "28.7967": "31.6036",
+      "16.0021": "11.7235",
+      "2.6449": "2.5185",
+      "0.3918": "0.5303",
+      "0.1982": "0.3773",
+      "27.7004": "26.2722",
+      "22.011": "23.8238",
+      "-8.2027": "-9.9574",
+      "40.092": "6.3609",
+      "81.8828": "205.261",
+      "g": "g"
+    },
+    {
+      "28.7967": "162.052",
+      "16.0021": "136.031",
+      "2.6449": "4.0612",
+      "0.3918": "0.0374",
+      "0.1982": "0.0187",
+      "27.7004": "116.741",
+      "22.011": "-64.858",
+      "-8.2027": "-45.216",
+      "40.092": "76.96",
+      "81.8828": "256.788",
+      "g": "g"
+    },
+    {
+      "28.7967": "23.8172",
+      "16.0021": "9.5728",
+      "2.6449": "2.3385",
+      "0.3918": "0.6147",
+      "0.1982": "0.3922",
+      "27.7004": "27.2107",
+      "22.011": "-6.4633",
+      "-8.2027": "-7.1513",
+      "40.092": "10.449",
+      "81.8828": "116.737",
+      "g": "g"
+    },
+    {
+      "28.7967": "75.1362",
+      "16.0021": "30.9205",
+      "2.6449": "3.1611",
+      "0.3918": "0.3168",
+      "0.1982": "0.1832",
+      "27.7004": "-5.5277",
+      "22.011": "28.5525",
+      "-8.2027": "21.8393",
+      "40.092": "4.648",
+      "81.8828": "356.462",
+      "g": "g"
+    },
+    {
+      "28.7967": "51.624",
+      "16.0021": "21.1502",
+      "2.6449": "2.9085",
+      "0.3918": "0.242",
+      "0.1982": "0.134",
+      "27.7004": "50.8761",
+      "22.011": "43.1887",
+      "-8.2027": "9.8145",
+      "40.092": "3.613",
+      "81.8828": "238.098",
+      "g": "g"
+    }
+  ]
+}
+
+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": "n11",
+  "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=g, measure_col=40.092.",
+  "planned_template_id": "tpl_tpch_thresholded_group_ranking",
+  "bindings": {
+    "group_col": "g",
+    "measure_col": "40.092",
+    "top_k": 18,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 33.58614,
+    "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_b/n11/artifacts/v2q_n11_0af37e8d7bfc761f/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-c929-7cb3-9704-a01c26b34814"}
+{"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_b/n11/artifacts/v2q_n11_0af37e8d7bfc761f/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-c929-7cb3-9704-a01c26b34814"}
+{"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_b/n11/artifacts/v2q_n11_0af37e8d7bfc761f/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-da0e-75e2-9aa4-05b7e40a4502"}
+{"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_b/n11/artifacts/v2q_n11_0af37e8d7bfc761f/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-da0e-75e2-9aa4-05b7e40a4502"}
+{"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."}}