Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7065, "bytes_utf8": 7065, "lines": 218, "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": 561, "bytes_utf8": 561, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14148, "cached_input_tokens": 12672, "output_tokens": 548, "reasoning_output_tokens": 394}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/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": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_0085f8b8f9686377",
+    "api_calls": 0,
+    "input_tokens": 14148,
+    "cached_input_tokens": 12672,
+    "output_tokens": 548,
+    "total_tokens": 14696,
+    "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": 12382.15,
+    "sql_execution_elapsed_ms_total": 17.2,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/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": "2026-05-19T15:36:08.728134+00:00",
+  "ended_at": "2026-05-19T15:36:21.110328+00:00",
+  "elapsed_ms": 12382.15,
+  "prompt_metrics": {
+    "chars": 7065,
+    "bytes_utf8": 7065,
+    "lines": 218,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 941,
+    "bytes_utf8": 941,
+    "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": 561,
+      "bytes_utf8": 561,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14148,
+      "cached_input_tokens": 12672,
+      "output_tokens": 548,
+      "reasoning_output_tokens": 394
+    }
+  },
+  "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_d/n17/artifacts/v2q_n17_0085f8b8f9686377/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,218 @@
+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: n17
+- dataset_name: Statlog Shuttle
+- table_name: n17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 14500
+- important_fields:
+- time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for time.
+- attribute2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute2.
+- attribute3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute3.
+- attribute4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute4.
+- attribute5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute5.
+- attribute6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute6.
+- attribute7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute7.
+- attribute8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute8.
+- attribute9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute9.
+- class: role=target, type=categorical_ordinal_target. ordered=['1', '3', '4', '5', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['time', 'attribute2', 'class'], ['time', 'time', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/148/statlog+shuttle
+
+SQLite schema snapshot:
+{
+  "table_name": "n17",
+  "quoted_table_name": "\"n17\"",
+  "row_count": 14500,
+  "columns": [
+    {
+      "name": "time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "time": "55",
+      "attribute2": "0",
+      "attribute3": "81",
+      "attribute4": "0",
+      "attribute5": "-6",
+      "attribute6": "11",
+      "attribute7": "25",
+      "attribute8": "88",
+      "attribute9": "64",
+      "class": "4"
+    },
+    {
+      "time": "56",
+      "attribute2": "0",
+      "attribute3": "96",
+      "attribute4": "0",
+      "attribute5": "52",
+      "attribute6": "-4",
+      "attribute7": "40",
+      "attribute8": "44",
+      "attribute9": "4",
+      "class": "4"
+    },
+    {
+      "time": "50",
+      "attribute2": "-1",
+      "attribute3": "89",
+      "attribute4": "-7",
+      "attribute5": "50",
+      "attribute6": "0",
+      "attribute7": "39",
+      "attribute8": "40",
+      "attribute9": "2",
+      "class": "1"
+    },
+    {
+      "time": "53",
+      "attribute2": "9",
+      "attribute3": "79",
+      "attribute4": "0",
+      "attribute5": "42",
+      "attribute6": "-2",
+      "attribute7": "25",
+      "attribute8": "37",
+      "attribute9": "12",
+      "class": "4"
+    },
+    {
+      "time": "55",
+      "attribute2": "2",
+      "attribute3": "82",
+      "attribute4": "0",
+      "attribute5": "54",
+      "attribute6": "-6",
+      "attribute7": "26",
+      "attribute8": "28",
+      "attribute9": "2",
+      "class": "1"
+    }
+  ]
+}
+
+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": "n17",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=class, measure_col=attribute3.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "class",
+    "measure_col": "attribute3",
+    "item_col": "attribute4",
+    "top_k": 19,
+    "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": 86.0,
+    "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_d/n17/artifacts/v2q_n17_0085f8b8f9686377/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-5237-7a50-8160-d3e7e5e51f55"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"class\\\", \\\"attribute4\\\",\\n       SUM(CAST(\\\"attribute3\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"attribute3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"attribute3\\\" AS REAL))) OVER (PARTITION BY \\\"class\\\") AS share_within_group\\nFROM \\\"n17\\\"\\nGROUP BY \\\"class\\\", \\\"attribute4\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"class\\\", item_col=\\\"attribute4\\\", and measure_col=\\\"attribute3\\\". CAST is applied because the schema stores these fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14148,"cached_input_tokens":12672,"output_tokens":548,"reasoning_output_tokens":394}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"class\", \"attribute4\",\n       SUM(CAST(\"attribute3\" AS REAL)) AS total_measure,\n       SUM(CAST(\"attribute3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"attribute3\" AS REAL))) OVER (PARTITION BY \"class\") AS share_within_group\nFROM \"n17\"\nGROUP BY \"class\", \"attribute4\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=\"class\", item_col=\"attribute4\", and measure_col=\"attribute3\". CAST is applied because the schema stores these fields as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=class, measure_col=attribute3.
+Result preview: [{"class": "2", "attribute4": "0", "total_measure": 1013.0, "share_within_group": 100.0}, {"class": "3", "attribute4": "0", "total_measure": 2780.0, "share_within_group": 74.73118279569893}, {"class": "4", "attribute4": "0", "total_measure": 129015.0, "share_within_group": 69.14839449664214}, {"class": "1", "attribute4": "0", "total_measure": 643006.0, "share_within_group": 66.08842404732833}, {"class": "7", "attribute4": "-1", "total_measure": 106.0, "share_within_group": 57.923497267759565}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_n17_0085f8b8f9686377
+-- problem_id: v2p_n17_9ca10b1109341ba5
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "class", "attribute4",
+       SUM(CAST("attribute3" AS REAL)) AS total_measure,
+       SUM(CAST("attribute3" AS REAL)) * 100.0 / SUM(SUM(CAST("attribute3" AS REAL))) OVER (PARTITION BY "class") AS share_within_group
+FROM "n17"
+GROUP BY "class", "attribute4"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/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_tpcds_within_group_share\nSELECT \"class\", \"attribute4\",\n       SUM(CAST(\"attribute3\" AS REAL)) AS total_measure,\n       SUM(CAST(\"attribute3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"attribute3\" AS REAL))) OVER (PARTITION BY \"class\") AS share_within_group\nFROM \"n17\"\nGROUP BY \"class\", \"attribute4\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"class\\\", \\\"attribute4\\\",\\n       SUM(CAST(\\\"attribute3\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"attribute3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"attribute3\\\" AS REAL))) OVER (PARTITION BY \\\"class\\\") AS share_within_group\\nFROM \\\"n17\\\"\\nGROUP BY \\\"class\\\", \\\"attribute4\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"class\", \"attribute4\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"class\": \"2\", \"attribute4\": \"0\", \"total_measure\": 1013.0, \"share_within_group\": 100.0}, {\"class\": \"3\", \"attribute4\": \"0\", \"total_measure\": 2780.0, \"share_within_group\": 74.73118279569893}, {\"class\": \"4\", \"attribute4\": \"0\", \"total_measure\": 129015.0, \"share_within_group\": 69.14839449664214}, {\"class\": \"1\", \"attribute4\": \"0\", \"total_measure\": 643006.0, \"share_within_group\": 66.08842404732833}, {\"class\": \"7\", \"attribute4\": \"-1\", \"total_measure\": 106.0, \"share_within_group\": 57.923497267759565}, {\"class\": \"5\", \"attribute4\": \"0\", \"total_measure\": 39631.0, \"share_within_group\": 54.25633864520015}, {\"class\": \"6\", \"attribute4\": \"-4\", \"total_measure\": 212.0, \"share_within_group\": 52.216748768472904}, {\"class\": \"7\", \"attribute4\": \"0\", \"total_measure\": 77.0, \"share_within_group\": 42.076502732240435}, {\"class\": \"6\", \"attribute4\": \"-2\", \"total_measure\": 106.0, \"share_within_group\": 26.108374384236452}, {\"class\": \"6\", \"attribute4\": \"0\", \"total_measure\": 88.0, \"share_within_group\": 21.67487684729064}, {\"class\": \"3\", \"attribute4\": \"-1\", \"total_measure\": 406.0, \"share_within_group\": 10.913978494623656}, {\"class\": \"5\", \"attribute4\": \"-1\", \"total_measure\": 4852.0, \"share_within_group\": 6.642571600679043}, {\"class\": \"5\", \"attribute4\": \"1\", \"total_measure\": 4351.0, \"share_within_group\": 5.956683642735885}, {\"class\": \"5\", \"attribute4\": \"-2\", \"total_measure\": 3836.0, \"share_within_group\": 5.251629155029845}, {\"class\": \"1\", \"attribute4\": \"-1\", \"total_measure\": 48849.0, \"share_within_group\": 5.020720531826983}, {\"class\": \"5\", \"attribute4\": \"2\", \"total_measure\": 3347.0, \"share_within_group\": 4.582169651169158}, {\"class\": \"4\", \"attribute4\": \"-1\", \"total_measure\": 8109.0, \"share_within_group\": 4.346194868606527}, {\"class\": \"1\", \"attribute4\": \"1\", \"total_measure\": 37247.0, \"share_within_group\": 3.828262147617344}, {\"class\": \"5\", \"attribute4\": \"-3\", \"total_measure\": 2623.0, \"share_within_group\": 3.590986254860084}, {\"class\": \"4\", \"attribute4\": \"1\", \"total_measure\": 6449.0, \"share_within_group\": 3.45648177428086}, {\"class\": \"1\", \"attribute4\": \"-2\", \"total_measure\": 32677.0, \"share_within_group\": 3.358555647372727}, {\"class\": \"4\", \"attribute4\": \"2\", \"total_measure\": 6176.0, \"share_within_group\": 3.3101614882863375}, {\"class\": \"4\", \"attribute4\": \"-2\", \"total_measure\": 6091.0, \"share_within_group\": 3.2646038900829146}, {\"class\": \"5\", \"attribute4\": \"5\", \"total_measure\": 2197.0, \"share_within_group\": 3.0077761349323695}, {\"class\": \"5\", \"attribute4\": \"6\", \"total_measure\": 2146.0, \"share_within_group\": 2.9379552050818685}, {\"class\": \"1\", \"attribute4\": \"2\", \"total_measure\": 28452.0, \"share_within_group\": 2.924308390582025}, {\"class\": \"3\", \"attribute4\": \"-3\", \"total_measure\": 106.0, \"share_within_group\": 2.849462365591398}, {\"class\": \"3\", \"attribute4\": \"-362\", \"total_measure\": 106.0, \"share_within_group\": 2.849462365591398}, {\"class\": \"5\", \"attribute4\": \"3\", \"total_measure\": 1972.0, \"share_within_group\": 2.6997426208860413}, {\"class\": \"1\", \"attribute4\": \"-3\", \"total_measure\": 25865.0, \"share_within_group\": 2.658415454885564}, {\"class\": \"3\", \"attribute4\": \"-6\", \"total_measure\": 88.0, \"share_within_group\": 2.3655913978494625}, {\"class\": \"4\", \"attribute4\": \"-3\", \"total_measure\": 4299.0, \"share_within_group\": 2.30414252560605}, {\"class\": \"1\", \"attribute4\": \"3\", \"total_measure\": 21363.0, \"share_within_group\": 2.1956980229159213}, {\"class\": \"3\", \"attribute4\": \"2\", \"total_measure\": 79.0, \"share_within_group\": 2.1236559139784945}, {\"class\": \"3\", \"attribute4\": \"-7\", \"total_measure\": 78.0, \"share_within_group\": 2.096774193548387}, {\"class\": \"3\", \"attribute4\": \"-2\", \"total_measure\": 77.0, \"share_within_group\": 2.0698924731182795}, {\"class\": \"5\", \"attribute4\": \"4\", \"total_measure\": 1490.0, \"share_within_group\": 2.039866381906796}, {\"class\": \"1\", \"attribute4\": \"-4\", \"total_measure\": 18596.0, \"share_within_group\": 1.91130461237394}, {\"class\": \"4\", \"attribute4\": \"4\", \"total_measure\": 3378.0, \"share_within_group\": 1.8105125497783756}, {\"class\": \"1\", \"attribute4\": \"5\", \"total_measure\": 17114.0, \"share_within_group\": 1.7589840361458167}, {\"class\": \"1\", \"attribute4\": \"4\", \"total_measure\": 17112.0, \"share_within_group\": 1.7587784753141997}, {\"class\": \"4\", \"attribute4\": \"3\", \"total_measure\": 3254.0, \"share_within_group\": 1.7440520535757356}, {\"class\": \"4\", \"attribute4\": \"-4\", \"total_measure\": 3155.0, \"share_within_group\": 1.6909908509623373}, {\"class\": \"5\", \"attribute4\": \"8\", \"total_measure\": 1146.0, \"share_within_group\": 1.5689173648759651}, {\"class\": \"1\", \"attribute4\": \"6\", \"total_measure\": 15116.0, \"share_within_group\": 1.5536287653605332}, {\"class\": \"4\", \"attribute4\": \"5\", \"total_measure\": 2741.0, \"share_within_group\": 1.4690985491244901}, {\"class\": \"5\", \"attribute4\": \"-7\", \"total_measure\": 1069.0, \"share_within_group\": 1.4635014511801105}, {\"class\": \"1\", \"attribute4\": \"-6\", \"total_measure\": 14214.0, \"share_within_group\": 1.460920830301311}, {\"class\": \"5\", \"attribute4\": \"-4\", \"total_measure\": 1042.0, \"share_within_group\": 1.4265374294945512}, {\"class\": \"1\", \"attribute4\": \"-7\", \"total_measure\": 13866.0, \"share_within_group\": 1.4251532455999705}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 17.2}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:36:08.726923+00:00",
+  "ended_at": "2026-05-19T15:36:21.130940+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_0085f8b8f9686377",
+    "problem_id": "v2p_n17_9ca10b1109341ba5",
+    "dataset_id": "n17",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=class, measure_col=attribute3.",
+    "bindings": {
+      "group_col": "class",
+      "measure_col": "attribute3",
+      "item_col": "attribute4",
+      "top_k": 19,
+      "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": 86.0,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "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;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=29"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 6,
+    "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_d/n17/sql/v2q_n17_0085f8b8f9686377.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_0085f8b8f9686377",
+    "api_calls": 0,
+    "input_tokens": 14148,
+    "cached_input_tokens": 12672,
+    "output_tokens": 548,
+    "total_tokens": 14696,
+    "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": 12382.15,
+    "sql_execution_elapsed_ms_total": 17.2,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:36:21.111554+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": 12382.15, "started_at": "2026-05-19T15:36:08.728134+00:00", "ended_at": "2026-05-19T15:36:21.110328+00:00", "prompt_metrics": {"chars": 7065, "bytes_utf8": 7065, "lines": 218, "estimated_tokens": null}, "response_metrics": {"chars": 561, "bytes_utf8": 561, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14148, "cached_input_tokens": 12672, "output_tokens": 548, "reasoning_output_tokens": 394}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"class\\\", \\\"attribute4\\\",\\n       SUM(CAST(\\\"attribute3\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"attribute3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"attribute3\\\" AS REAL))) OVER (PARTITION BY \\\"class\\\") AS share_within_group\\nFROM \\\"n17\\\"\\nGROUP BY \\\"class\\\", \\\"attribute4\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"class\\\", item_col=\\\"attribute4\\\", and measure_col=\\\"attribute3\\\". CAST is applied because the schema stores these fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_0085f8b8f9686377",
+  "api_calls": 0,
+  "input_tokens": 14148,
+  "cached_input_tokens": 12672,
+  "output_tokens": 548,
+  "total_tokens": 14696,
+  "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": 12382.15,
+  "sql_execution_elapsed_ms_total": 17.2,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0085f8b8f9686377/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03f33b10a85b14ba/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=attribute3, condition_col=class.
+Result preview: [{"attribute3": "83", "condition_ratio": 62.38461538461539}, {"attribute3": "75", "condition_ratio": 45.8}, {"attribute3": "80", "condition_ratio": 11.695652173913043}, {"attribute3": "76", "condition_ratio": 10.215909090909092}, {"attribute3": "82", "condition_ratio": 8.210526315789474}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03f33b10a85b14ba/generated_sql.sql

@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_n17_03f33b10a85b14ba
+-- problem_id: v2p_n17_7ca9e059812828b0
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "attribute3",
+           SUM(CASE WHEN "class" = '1' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "n17"
+    GROUP BY "attribute3"
+)
+SELECT "attribute3",
+       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03f33b10a85b14ba/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_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"attribute3\",\n           SUM(CASE WHEN \"class\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"n17\"\n    GROUP BY \"attribute3\"\n)\nSELECT \"attribute3\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"attribute3\\\",\\n           SUM(CASE WHEN \\\"class\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n17\\\"\\n    GROUP BY \\\"attribute3\\\"\\n)\\nSELECT \\\"attribute3\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"attribute3\", \"condition_ratio\"], \"rows\": [{\"attribute3\": \"83\", \"condition_ratio\": 62.38461538461539}, {\"attribute3\": \"75\", \"condition_ratio\": 45.8}, {\"attribute3\": \"80\", \"condition_ratio\": 11.695652173913043}, {\"attribute3\": \"76\", \"condition_ratio\": 10.215909090909092}, {\"attribute3\": \"82\", \"condition_ratio\": 8.210526315789474}, {\"attribute3\": \"81\", \"condition_ratio\": 6.844594594594595}, {\"attribute3\": \"94\", \"condition_ratio\": 6.375}, {\"attribute3\": \"79\", \"condition_ratio\": 6.238993710691824}, {\"attribute3\": \"74\", \"condition_ratio\": 3.909090909090909}, {\"attribute3\": \"91\", \"condition_ratio\": 3.6666666666666665}, {\"attribute3\": \"78\", \"condition_ratio\": 3.139393939393939}, {\"attribute3\": \"77\", \"condition_ratio\": 2.508274231678487}, {\"attribute3\": \"93\", \"condition_ratio\": 1.4375}, {\"attribute3\": \"92\", \"condition_ratio\": 1.0666666666666667}, {\"attribute3\": \"95\", \"condition_ratio\": 0.8903508771929824}, {\"attribute3\": \"97\", \"condition_ratio\": 0.7796610169491526}, {\"attribute3\": \"99\", \"condition_ratio\": 0.6857142857142857}, {\"attribute3\": \"96\", \"condition_ratio\": 0.6349206349206349}, {\"attribute3\": \"98\", \"condition_ratio\": 0.11188811188811189}, {\"attribute3\": \"71\", \"condition_ratio\": 0.0}, {\"attribute3\": \"72\", \"condition_ratio\": 0.0}, {\"attribute3\": \"73\", \"condition_ratio\": 0.0}, {\"attribute3\": \"100\", \"condition_ratio\": null}, {\"attribute3\": \"101\", \"condition_ratio\": null}, {\"attribute3\": \"102\", \"condition_ratio\": null}, {\"attribute3\": \"103\", \"condition_ratio\": null}, {\"attribute3\": \"104\", \"condition_ratio\": null}, {\"attribute3\": \"105\", \"condition_ratio\": null}, {\"attribute3\": \"106\", \"condition_ratio\": null}, {\"attribute3\": \"107\", \"condition_ratio\": null}, {\"attribute3\": \"108\", \"condition_ratio\": null}, {\"attribute3\": \"109\", \"condition_ratio\": null}, {\"attribute3\": \"110\", \"condition_ratio\": null}, {\"attribute3\": \"111\", \"condition_ratio\": null}, {\"attribute3\": \"112\", \"condition_ratio\": null}, {\"attribute3\": \"113\", \"condition_ratio\": null}, {\"attribute3\": \"118\", \"condition_ratio\": null}, {\"attribute3\": \"40\", \"condition_ratio\": null}, {\"attribute3\": \"64\", \"condition_ratio\": null}, {\"attribute3\": \"84\", \"condition_ratio\": null}, {\"attribute3\": \"85\", \"condition_ratio\": null}, {\"attribute3\": \"86\", \"condition_ratio\": null}, {\"attribute3\": \"87\", \"condition_ratio\": null}, {\"attribute3\": \"88\", \"condition_ratio\": null}, {\"attribute3\": \"89\", \"condition_ratio\": null}, {\"attribute3\": \"90\", \"condition_ratio\": null}], \"row_count_returned\": 46, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.54}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03f33b10a85b14ba/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:39:56.342773+00:00",
+  "ended_at": "2026-05-19T15:40:05.696600+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_03f33b10a85b14ba",
+    "problem_id": "v2p_n17_7ca9e059812828b0",
+    "dataset_id": "n17",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=attribute3, condition_col=class.",
+    "bindings": {
+      "group_col": "attribute3",
+      "condition_col": "class",
+      "condition_value": "1",
+      "positive_value": "1",
+      "negative_value": "4",
+      "top_k": 12,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 42.0,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1",
+      "binding_index=42"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "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_d/n17/sql/v2q_n17_03f33b10a85b14ba.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_03f33b10a85b14ba",
+    "api_calls": 0,
+    "input_tokens": 14238,
+    "cached_input_tokens": 12672,
+    "output_tokens": 375,
+    "total_tokens": 14613,
+    "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": 9330.42,
+    "sql_execution_elapsed_ms_total": 17.54,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03f33b10a85b14ba/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03f33b10a85b14ba/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:40:05.676355+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": 9330.42, "started_at": "2026-05-19T15:39:56.344270+00:00", "ended_at": "2026-05-19T15:40:05.674728+00:00", "prompt_metrics": {"chars": 7457, "bytes_utf8": 7457, "lines": 219, "estimated_tokens": null}, "response_metrics": {"chars": 626, "bytes_utf8": 626, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14238, "cached_input_tokens": 12672, "output_tokens": 375, "reasoning_output_tokens": 203}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"attribute3\\\",\\n           SUM(CASE WHEN \\\"class\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"n17\\\"\\n    GROUP BY \\\"attribute3\\\"\\n)\\nSELECT \\\"attribute3\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes the ratio of rows with class='1' to rows with class='4' for each attribute3 group, following the planned grouped ratio template.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03f33b10a85b14ba/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_03f33b10a85b14ba",
+  "api_calls": 0,
+  "input_tokens": 14238,
+  "cached_input_tokens": 12672,
+  "output_tokens": 375,
+  "total_tokens": 14613,
+  "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": 9330.42,
+  "sql_execution_elapsed_ms_total": 17.54,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_03f33b10a85b14ba/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_051af4b36b3776ee/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T16:04:10.857308+00:00",
+  "ended_at": "2026-05-19T16:04:18.587289+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_051af4b36b3776ee",
+    "problem_id": "v2p_n17_205aafcbe07694f6",
+    "dataset_id": "n17",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "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 Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=attribute3, measure_col=attribute7.",
+    "bindings": {
+      "group_col": "attribute3",
+      "measure_col": "attribute7",
+      "top_k": 12,
+      "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": 42.0,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "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;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/2",
+      "binding_index=132"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_051af4b36b3776ee/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:04:14.067103+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": 3207.81, "started_at": "2026-05-19T16:04:10.858430+00:00", "ended_at": "2026-05-19T16:04:14.066267+00:00", "prompt_metrics": {"chars": 6747, "bytes_utf8": 6747, "lines": 216, "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-fd10-7680-8a9e-2474b869e2ab\"}\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": "2026-05-19T16:04:18.587177+00:00", "event_type": "ai_cli_sql_generation_error", "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": 1, "elapsed_ms": 3517.32, "started_at": "2026-05-19T16:04:15.068878+00:00", "ended_at": "2026-05-19T16:04:18.586246+00:00", "prompt_metrics": {"chars": 6747, "bytes_utf8": 6747, "lines": 216, "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\":\"019e40fb-0d65-75f0-bba5-8200c1dddce3\"}\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: "}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7215, "bytes_utf8": 7215, "lines": 216, "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": 629, "bytes_utf8": 629, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14167, "cached_input_tokens": 13696, "output_tokens": 499, "reasoning_output_tokens": 334}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/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": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_06ecf856077ae419",
+    "api_calls": 0,
+    "input_tokens": 14167,
+    "cached_input_tokens": 13696,
+    "output_tokens": 499,
+    "total_tokens": 14666,
+    "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": 18960.85,
+    "sql_execution_elapsed_ms_total": 8.4,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/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": "2026-05-19T15:47:17.643471+00:00",
+  "ended_at": "2026-05-19T15:47:36.604373+00:00",
+  "elapsed_ms": 18960.85,
+  "prompt_metrics": {
+    "chars": 7215,
+    "bytes_utf8": 7215,
+    "lines": 216,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1666,
+    "bytes_utf8": 1666,
+    "lines": 6,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 629,
+      "bytes_utf8": 629,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14167,
+      "cached_input_tokens": 13696,
+      "output_tokens": 499,
+      "reasoning_output_tokens": 334
+    }
+  },
+  "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_d/n17/artifacts/v2q_n17_06ecf856077ae419/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,216 @@
+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: n17
+- dataset_name: Statlog Shuttle
+- table_name: n17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 14500
+- important_fields:
+- time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for time.
+- attribute2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute2.
+- attribute3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute3.
+- attribute4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute4.
+- attribute5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute5.
+- attribute6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute6.
+- attribute7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute7.
+- attribute8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute8.
+- attribute9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute9.
+- class: role=target, type=categorical_ordinal_target. ordered=['1', '3', '4', '5', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['time', 'attribute2', 'class'], ['time', 'time', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/148/statlog+shuttle
+
+SQLite schema snapshot:
+{
+  "table_name": "n17",
+  "quoted_table_name": "\"n17\"",
+  "row_count": 14500,
+  "columns": [
+    {
+      "name": "time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "time": "55",
+      "attribute2": "0",
+      "attribute3": "81",
+      "attribute4": "0",
+      "attribute5": "-6",
+      "attribute6": "11",
+      "attribute7": "25",
+      "attribute8": "88",
+      "attribute9": "64",
+      "class": "4"
+    },
+    {
+      "time": "56",
+      "attribute2": "0",
+      "attribute3": "96",
+      "attribute4": "0",
+      "attribute5": "52",
+      "attribute6": "-4",
+      "attribute7": "40",
+      "attribute8": "44",
+      "attribute9": "4",
+      "class": "4"
+    },
+    {
+      "time": "50",
+      "attribute2": "-1",
+      "attribute3": "89",
+      "attribute4": "-7",
+      "attribute5": "50",
+      "attribute6": "0",
+      "attribute7": "39",
+      "attribute8": "40",
+      "attribute9": "2",
+      "class": "1"
+    },
+    {
+      "time": "53",
+      "attribute2": "9",
+      "attribute3": "79",
+      "attribute4": "0",
+      "attribute5": "42",
+      "attribute6": "-2",
+      "attribute7": "25",
+      "attribute8": "37",
+      "attribute9": "12",
+      "class": "4"
+    },
+    {
+      "time": "55",
+      "attribute2": "2",
+      "attribute3": "82",
+      "attribute4": "0",
+      "attribute5": "54",
+      "attribute6": "-6",
+      "attribute7": "26",
+      "attribute8": "28",
+      "attribute9": "2",
+      "class": "1"
+    }
+  ]
+}
+
+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": "n17",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=attribute9, measure_col=attribute7.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "attribute9",
+    "measure_col": "attribute7",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 42.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,6 @@
+{"type":"thread.started","thread_id":"019e40eb-877e-7922-a071-84a8d7c77bab"}
+{"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 2000000, Requested 14802. Please try again in 444ms. 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 1989360, Requested 14802. Please try again in 124ms. 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_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"attribute9\\\", SUM(CAST(\\\"attribute7\\\" AS REAL)) AS group_value\\n    FROM \\\"n17\\\"\\n    GROUP BY \\\"attribute9\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"attribute9\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required template with group_col=\\\"attribute9\\\" and measure_col=\\\"attribute7\\\". Cast \\\"attribute7\\\" to REAL because the SQLite schema stores numeric-looking fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14167,"cached_input_tokens":13696,"output_tokens":499,"reasoning_output_tokens":334}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"attribute9\", SUM(CAST(\"attribute7\" AS REAL)) AS group_value\n    FROM \"n17\"\n    GROUP BY \"attribute9\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"attribute9\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the required template with group_col=\"attribute9\" and measure_col=\"attribute7\". Cast \"attribute7\" to REAL because the SQLite schema stores numeric-looking fields as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/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 count_distribution. Focus on group_col=attribute9, measure_col=attribute7.
+Result preview: [{"attribute9": "0", "group_value": 195330.0}, {"attribute9": "2", "group_value": 144639.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- 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_tpch_relative_total_threshold
+-- query_record_id: v2q_n17_06ecf856077ae419
+-- problem_id: v2p_n17_3c744692c01847b0
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "attribute9", SUM(CAST("attribute7" AS REAL)) AS group_value
+    FROM "n17"
+    GROUP BY "attribute9"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."attribute9", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.1
+ORDER BY g.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/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 \"attribute9\", SUM(CAST(\"attribute7\" AS REAL)) AS group_value\n    FROM \"n17\"\n    GROUP BY \"attribute9\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"attribute9\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"attribute9\\\", SUM(CAST(\\\"attribute7\\\" AS REAL)) AS group_value\\n    FROM \\\"n17\\\"\\n    GROUP BY \\\"attribute9\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"attribute9\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"attribute9\", \"group_value\"], \"rows\": [{\"attribute9\": \"0\", \"group_value\": 195330.0}, {\"attribute9\": \"2\", \"group_value\": 144639.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.4}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:47:17.642218+00:00",
+  "ended_at": "2026-05-19T15:47:36.616468+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_06ecf856077ae419",
+    "problem_id": "v2p_n17_3c744692c01847b0",
+    "dataset_id": "n17",
+    "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": "count_distribution",
+    "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 count_distribution. Focus on group_col=attribute9, measure_col=attribute7.",
+    "bindings": {
+      "group_col": "attribute9",
+      "measure_col": "attribute7",
+      "top_k": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 42.0,
+      "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
+    },
+    "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=7",
+      "sql_variant_index=1/2",
+      "binding_index=78"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 7,
+    "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_d/n17/sql/v2q_n17_06ecf856077ae419.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_06ecf856077ae419",
+    "api_calls": 0,
+    "input_tokens": 14167,
+    "cached_input_tokens": 13696,
+    "output_tokens": 499,
+    "total_tokens": 14666,
+    "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": 18960.85,
+    "sql_execution_elapsed_ms_total": 8.4,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:47:36.605676+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": 18960.85, "started_at": "2026-05-19T15:47:17.643471+00:00", "ended_at": "2026-05-19T15:47:36.604373+00:00", "prompt_metrics": {"chars": 7215, "bytes_utf8": 7215, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 629, "bytes_utf8": 629, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14167, "cached_input_tokens": 13696, "output_tokens": 499, "reasoning_output_tokens": 334}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"attribute9\\\", SUM(CAST(\\\"attribute7\\\" AS REAL)) AS group_value\\n    FROM \\\"n17\\\"\\n    GROUP BY \\\"attribute9\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"attribute9\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required template with group_col=\\\"attribute9\\\" and measure_col=\\\"attribute7\\\". Cast \\\"attribute7\\\" to REAL because the SQLite schema stores numeric-looking fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_06ecf856077ae419",
+  "api_calls": 0,
+  "input_tokens": 14167,
+  "cached_input_tokens": 13696,
+  "output_tokens": 499,
+  "total_tokens": 14666,
+  "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": 18960.85,
+  "sql_execution_elapsed_ms_total": 8.4,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_06ecf856077ae419/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0ad345987cb77c95/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=attribute5, measure_col=attribute5.
+Result preview: [{"attribute5": "46", "total_measure": 79166.0}, {"attribute5": "42", "total_measure": 66024.0}, {"attribute5": "44", "total_measure": 65076.0}, {"attribute5": "50", "total_measure": 51150.0}, {"attribute5": "38", "total_measure": 43890.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0ad345987cb77c95/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_n17_0ad345987cb77c95
+-- problem_id: v2p_n17_41a0c6b5cd3e35a5
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "attribute5", SUM(CAST("attribute5" AS REAL)) AS "total_measure"
+FROM "n17"
+GROUP BY "attribute5"
+ORDER BY "total_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0ad345987cb77c95/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_h2o_group_sum\nSELECT \"attribute5\", SUM(CAST(\"attribute5\" AS REAL)) AS \"total_measure\"\nFROM \"n17\"\nGROUP BY \"attribute5\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"attribute5\\\", SUM(CAST(\\\"attribute5\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute5\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"attribute5\", \"total_measure\"], \"rows\": [{\"attribute5\": \"46\", \"total_measure\": 79166.0}, {\"attribute5\": \"42\", \"total_measure\": 66024.0}, {\"attribute5\": \"44\", \"total_measure\": 65076.0}, {\"attribute5\": \"50\", \"total_measure\": 51150.0}, {\"attribute5\": \"38\", \"total_measure\": 43890.0}, {\"attribute5\": \"54\", \"total_measure\": 43524.0}, {\"attribute5\": \"52\", \"total_measure\": 40196.0}, {\"attribute5\": \"56\", \"total_measure\": 24920.0}, {\"attribute5\": \"36\", \"total_measure\": 19440.0}, {\"attribute5\": \"34\", \"total_measure\": 13838.0}, {\"attribute5\": \"28\", \"total_measure\": 9744.0}, {\"attribute5\": \"70\", \"total_measure\": 8190.0}, {\"attribute5\": \"26\", \"total_measure\": 7670.0}, {\"attribute5\": \"30\", \"total_measure\": 7320.0}, {\"attribute5\": \"24\", \"total_measure\": 7080.0}, {\"attribute5\": \"72\", \"total_measure\": 6840.0}, {\"attribute5\": \"20\", \"total_measure\": 5880.0}, {\"attribute5\": \"18\", \"total_measure\": 4158.0}, {\"attribute5\": \"60\", \"total_measure\": 3300.0}, {\"attribute5\": \"16\", \"total_measure\": 3088.0}, {\"attribute5\": \"62\", \"total_measure\": 2542.0}, {\"attribute5\": \"12\", \"total_measure\": 2088.0}, {\"attribute5\": \"64\", \"total_measure\": 1920.0}, {\"attribute5\": \"10\", \"total_measure\": 1920.0}, {\"attribute5\": \"68\", \"total_measure\": 1768.0}, {\"attribute5\": \"8\", \"total_measure\": 1680.0}, {\"attribute5\": \"6\", \"total_measure\": 1038.0}, {\"attribute5\": \"310\", \"total_measure\": 310.0}, {\"attribute5\": \"2\", \"total_measure\": 280.0}, {\"attribute5\": \"98\", \"total_measure\": 98.0}, {\"attribute5\": \"0\", \"total_measure\": 0.0}, {\"attribute5\": \"-2\", \"total_measure\": -356.0}, {\"attribute5\": \"-6\", \"total_measure\": -522.0}, {\"attribute5\": \"-32\", \"total_measure\": -576.0}, {\"attribute5\": \"-36\", \"total_measure\": -648.0}, {\"attribute5\": \"-4\", \"total_measure\": -704.0}, {\"attribute5\": \"-12\", \"total_measure\": -708.0}, {\"attribute5\": \"-30\", \"total_measure\": -720.0}, {\"attribute5\": \"-46\", \"total_measure\": -736.0}, {\"attribute5\": \"-10\", \"total_measure\": -770.0}, {\"attribute5\": \"-28\", \"total_measure\": -784.0}, {\"attribute5\": \"-38\", \"total_measure\": -950.0}, {\"attribute5\": \"-14\", \"total_measure\": -1050.0}, {\"attribute5\": \"-18\", \"total_measure\": -1062.0}, {\"attribute5\": \"-24\", \"total_measure\": -1152.0}, {\"attribute5\": \"-20\", \"total_measure\": -1340.0}, {\"attribute5\": \"-22\", \"total_measure\": -1958.0}, {\"attribute5\": \"-42\", \"total_measure\": -3612.0}, {\"attribute5\": \"-40\", \"total_measure\": -4600.0}], \"row_count_returned\": 49, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.73}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0ad345987cb77c95/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "n17",
+  "started_at": "2026-05-19T15:29:43.212045+00:00",
+  "ended_at": "2026-05-19T15:29:56.835123+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n17_0ad345987cb77c95",
+    "problem_id": "v2p_n17_41a0c6b5cd3e35a5",
+    "dataset_id": "n17",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_rank_order",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=attribute5, measure_col=attribute5.",
+    "bindings": {
+      "group_col": "attribute5",
+      "measure_col": "attribute5",
+      "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": 46.0,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/2",
+      "binding_index=4"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 5,
+    "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_d/n17/sql/v2q_n17_0ad345987cb77c95.sql",
+  "usage_summary": {
+    "dataset_id": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_0ad345987cb77c95",
+    "api_calls": 0,
+    "input_tokens": 14031,
+    "cached_input_tokens": 12032,
+    "output_tokens": 336,
+    "total_tokens": 14367,
+    "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": 13602.26,
+    "sql_execution_elapsed_ms_total": 14.73,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0ad345987cb77c95/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0ad345987cb77c95/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:29:56.817351+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": 13602.26, "started_at": "2026-05-19T15:29:43.213512+00:00", "ended_at": "2026-05-19T15:29:56.815804+00:00", "prompt_metrics": {"chars": 6661, "bytes_utf8": 6661, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14031, "cached_input_tokens": 12032, "output_tokens": 336, "reasoning_output_tokens": 230}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"attribute5\\\", SUM(CAST(\\\"attribute5\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n17\\\"\\nGROUP BY \\\"attribute5\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"attribute5\\\" and measure_col=\\\"attribute5\\\". CAST to REAL is applied because the schema stores numeric-looking values as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0ad345987cb77c95/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n17_0ad345987cb77c95",
+  "api_calls": 0,
+  "input_tokens": 14031,
+  "cached_input_tokens": 12032,
+  "output_tokens": 336,
+  "total_tokens": 14367,
+  "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": 13602.26,
+  "sql_execution_elapsed_ms_total": 14.73,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0ad345987cb77c95/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0af05389c01d5b60/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7218, "bytes_utf8": 7218, "lines": 216, "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": 614, "bytes_utf8": 614, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14169, "cached_input_tokens": 12672, "output_tokens": 478, "reasoning_output_tokens": 317}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0af05389c01d5b60/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": "n17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n17_0af05389c01d5b60",
+    "api_calls": 0,
+    "input_tokens": 14169,
+    "cached_input_tokens": 12672,
+    "output_tokens": 478,
+    "total_tokens": 14647,
+    "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": 11567.94,
+    "sql_execution_elapsed_ms_total": 7.6,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0af05389c01d5b60/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0af05389c01d5b60/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": "2026-05-19T15:46:41.891819+00:00",
+  "ended_at": "2026-05-19T15:46:53.459812+00:00",
+  "elapsed_ms": 11567.94,
+  "prompt_metrics": {
+    "chars": 7218,
+    "bytes_utf8": 7218,
+    "lines": 216,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 981,
+    "bytes_utf8": 981,
+    "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": 614,
+      "bytes_utf8": 614,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14169,
+      "cached_input_tokens": 12672,
+      "output_tokens": 478,
+      "reasoning_output_tokens": 317
+    }
+  },
+  "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_d/n17/artifacts/v2q_n17_0af05389c01d5b60/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,216 @@
+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: n17
+- dataset_name: Statlog Shuttle
+- table_name: n17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 14500
+- important_fields:
+- time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for time.
+- attribute2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute2.
+- attribute3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute3.
+- attribute4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute4.
+- attribute5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute5.
+- attribute6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute6.
+- attribute7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute7.
+- attribute8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute8.
+- attribute9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for attribute9.
+- class: role=target, type=categorical_ordinal_target. ordered=['1', '3', '4', '5', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['time', 'attribute2', 'class'], ['time', 'time', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/148/statlog+shuttle
+
+SQLite schema snapshot:
+{
+  "table_name": "n17",
+  "quoted_table_name": "\"n17\"",
+  "row_count": 14500,
+  "columns": [
+    {
+      "name": "time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "attribute9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "time": "55",
+      "attribute2": "0",
+      "attribute3": "81",
+      "attribute4": "0",
+      "attribute5": "-6",
+      "attribute6": "11",
+      "attribute7": "25",
+      "attribute8": "88",
+      "attribute9": "64",
+      "class": "4"
+    },
+    {
+      "time": "56",
+      "attribute2": "0",
+      "attribute3": "96",
+      "attribute4": "0",
+      "attribute5": "52",
+      "attribute6": "-4",
+      "attribute7": "40",
+      "attribute8": "44",
+      "attribute9": "4",
+      "class": "4"
+    },
+    {
+      "time": "50",
+      "attribute2": "-1",
+      "attribute3": "89",
+      "attribute4": "-7",
+      "attribute5": "50",
+      "attribute6": "0",
+      "attribute7": "39",
+      "attribute8": "40",
+      "attribute9": "2",
+      "class": "1"
+    },
+    {
+      "time": "53",
+      "attribute2": "9",
+      "attribute3": "79",
+      "attribute4": "0",
+      "attribute5": "42",
+      "attribute6": "-2",
+      "attribute7": "25",
+      "attribute8": "37",
+      "attribute9": "12",
+      "class": "4"
+    },
+    {
+      "time": "55",
+      "attribute2": "2",
+      "attribute3": "82",
+      "attribute4": "0",
+      "attribute5": "54",
+      "attribute6": "-6",
+      "attribute7": "26",
+      "attribute8": "28",
+      "attribute9": "2",
+      "class": "1"
+    }
+  ]
+}
+
+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": "n17",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=attribute7, measure_col=attribute5.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "attribute7",
+    "measure_col": "attribute5",
+    "top_k": 16,
+    "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": 46.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0af05389c01d5b60/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ea-fbf7-78c3-a719-8ab562330690"}
+{"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 \\\"attribute7\\\", SUM(CAST(\\\"attribute5\\\" AS REAL)) AS group_value\\n    FROM \\\"n17\\\"\\n    GROUP BY \\\"attribute7\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"attribute7\\\", 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\":\"Applied the planned template with group_col=\\\"attribute7\\\" and measure_col=\\\"attribute5\\\". CAST was added because the schema stores numeric fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14169,"cached_input_tokens":12672,"output_tokens":478,"reasoning_output_tokens":317}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0af05389c01d5b60/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"attribute7\", SUM(CAST(\"attribute5\" AS REAL)) AS group_value\n    FROM \"n17\"\n    GROUP BY \"attribute7\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"attribute7\", 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":"Applied the planned template with group_col=\"attribute7\" and measure_col=\"attribute5\". CAST was added because the schema stores numeric fields as TEXT in SQLite."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0af05389c01d5b60/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=attribute7, measure_col=attribute5.
+Result preview: [{"attribute7": "40", "group_value": 44764.0}, {"attribute7": "41", "group_value": 37174.0}, {"attribute7": "39", "group_value": 30192.0}, {"attribute7": "42", "group_value": 27918.0}, {"attribute7": "38", "group_value": 27784.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0af05389c01d5b60/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: n17
+-- 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_n17_0af05389c01d5b60
+-- problem_id: v2p_n17_469386a3ec2c60d0
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "attribute7", SUM(CAST("attribute5" AS REAL)) AS group_value
+    FROM "n17"
+    GROUP BY "attribute7"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."attribute7", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/n17/artifacts/v2q_n17_0af05389c01d5b60/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 \"attribute7\", SUM(CAST(\"attribute5\" AS REAL)) AS group_value\n    FROM \"n17\"\n    GROUP BY \"attribute7\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"attribute7\", 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"attribute7\\\", SUM(CAST(\\\"attribute5\\\" AS REAL)) AS group_value\\n    FROM \\\"n17\\\"\\n    GROUP BY \\\"attribute7\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"attribute7\\\", 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;\", \"columns\": [\"attribute7\", \"group_value\"], \"rows\": [{\"attribute7\": \"40\", \"group_value\": 44764.0}, {\"attribute7\": \"41\", \"group_value\": 37174.0}, {\"attribute7\": \"39\", \"group_value\": 30192.0}, {\"attribute7\": \"42\", \"group_value\": 27918.0}, {\"attribute7\": \"38\", \"group_value\": 27784.0}, {\"attribute7\": \"37\", \"group_value\": 27118.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.6}"}