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Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/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 focused_target_view. Focus on group_col=TrafficType, measure_col=Administrative_Duration.
+Result preview: [{"TrafficType": "16", "ProductRelated": "17", "total_measure": 822.7666667, "share_within_group": 92.67825629885186}, {"TrafficType": "14", "ProductRelated": "705", "total_measure": 2629.253968, "share_within_group": 72.9756282355336}, {"TrafficType": "18", "ProductRelated": "18", "total_measure": 312.0, "share_within_group": 43.24923759356806}, {"TrafficType": "19", "ProductRelated": "362", "total_measure": 270.0, "share_within_group": 39.535425470676955}, {"TrafficType": "18", "ProductRelated": "8", "total_measure": 238.4, "share_within_group": 33.046853340726365}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m6
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_m6_00387f4822336c98
+-- problem_id: v2p_m6_8958f4b0003d68a4
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "TrafficType",
+  "ProductRelated",
+  SUM(CAST("Administrative_Duration" AS REAL)) AS total_measure,
+  SUM(CAST("Administrative_Duration" AS REAL)) * 100.0 / SUM(SUM(CAST("Administrative_Duration" AS REAL))) OVER (PARTITION BY "TrafficType") AS share_within_group
+FROM "m6"
+WHERE "TrafficType" IS NOT NULL
+  AND "ProductRelated" IS NOT NULL
+  AND "Administrative_Duration" IS NOT NULL
+  AND TRIM("Administrative_Duration") <> ''
+GROUP BY "TrafficType", "ProductRelated"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/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\n  \"TrafficType\",\n  \"ProductRelated\",\n  SUM(CAST(\"Administrative_Duration\" AS REAL)) AS total_measure,\n  SUM(CAST(\"Administrative_Duration\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Administrative_Duration\" AS REAL))) OVER (PARTITION BY \"TrafficType\") AS share_within_group\nFROM \"m6\"\nWHERE \"TrafficType\" IS NOT NULL\n  AND \"ProductRelated\" IS NOT NULL\n  AND \"Administrative_Duration\" IS NOT NULL\n  AND TRIM(\"Administrative_Duration\") <> ''\nGROUP BY \"TrafficType\", \"ProductRelated\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"TrafficType\\\",\\n  \\\"ProductRelated\\\",\\n  SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"TrafficType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nWHERE \\\"TrafficType\\\" IS NOT NULL\\n  AND \\\"ProductRelated\\\" IS NOT NULL\\n  AND \\\"Administrative_Duration\\\" IS NOT NULL\\n  AND TRIM(\\\"Administrative_Duration\\\") <> ''\\nGROUP BY \\\"TrafficType\\\", \\\"ProductRelated\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"TrafficType\", \"ProductRelated\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"TrafficType\": \"16\", \"ProductRelated\": \"17\", \"total_measure\": 822.7666667, \"share_within_group\": 92.67825629885186}, {\"TrafficType\": \"14\", \"ProductRelated\": \"705\", \"total_measure\": 2629.253968, \"share_within_group\": 72.9756282355336}, {\"TrafficType\": \"18\", \"ProductRelated\": \"18\", \"total_measure\": 312.0, \"share_within_group\": 43.24923759356806}, {\"TrafficType\": \"19\", \"ProductRelated\": \"362\", \"total_measure\": 270.0, \"share_within_group\": 39.535425470676955}, {\"TrafficType\": \"18\", \"ProductRelated\": \"8\", \"total_measure\": 238.4, \"share_within_group\": 33.046853340726365}, {\"TrafficType\": \"19\", \"ProductRelated\": \"51\", \"total_measure\": 166.9318182, \"share_within_group\": 24.443409100484057}, {\"TrafficType\": \"15\", \"ProductRelated\": \"50\", \"total_measure\": 604.5, \"share_within_group\": 22.673709873723112}, {\"TrafficType\": \"7\", \"ProductRelated\": \"2\", \"total_measure\": 772.0, \"share_within_group\": 22.615527145958673}, {\"TrafficType\": \"9\", \"ProductRelated\": \"14\", \"total_measure\": 571.16666667, \"share_within_group\": 20.05970498740391}, {\"TrafficType\": \"18\", \"ProductRelated\": \"16\", \"total_measure\": 116.0, \"share_within_group\": 16.07984474632659}, {\"TrafficType\": \"19\", \"ProductRelated\": \"16\", \"total_measure\": 103.0, \"share_within_group\": 15.08203267955454}, {\"TrafficType\": \"15\", \"ProductRelated\": \"14\", \"total_measure\": 377.0, \"share_within_group\": 14.140593254580006}, {\"TrafficType\": \"15\", \"ProductRelated\": \"58\", \"total_measure\": 367.6666667, \"share_within_group\": 13.790516676583382}, {\"TrafficType\": \"15\", \"ProductRelated\": \"26\", \"total_measure\": 364.5, \"share_within_group\": 13.671740693088626}, {\"TrafficType\": \"9\", \"ProductRelated\": \"11\", \"total_measure\": 372.66666667, \"share_within_group\": 13.088269726283794}, {\"TrafficType\": \"14\", \"ProductRelated\": \"114\", \"total_measure\": 468.3666667, \"share_within_group\": 12.999638742777883}, {\"TrafficType\": \"15\", \"ProductRelated\": \"4\", \"total_measure\": 335.5, \"share_within_group\": 12.584002750428626}, {\"TrafficType\": \"20\", \"ProductRelated\": \"27\", \"total_measure\": 1979.3147370000002, \"share_within_group\": 12.515354497140823}, {\"TrafficType\": \"7\", \"ProductRelated\": \"38\", \"total_measure\": 402.5, \"share_within_group\": 11.791126523637779}, {\"TrafficType\": \"20\", \"ProductRelated\": \"15\", \"total_measure\": 1759.83333333, \"share_within_group\": 11.127557235234155}, {\"TrafficType\": \"9\", \"ProductRelated\": \"18\", \"total_measure\": 302.0, \"share_within_group\": 10.606415359487526}, {\"TrafficType\": \"5\", \"ProductRelated\": \"3\", \"total_measure\": 2872.516666733, \"share_within_group\": 10.339038097857935}, {\"TrafficType\": \"7\", \"ProductRelated\": \"99\", \"total_measure\": 340.9, \"share_within_group\": 9.986571507846259}, {\"TrafficType\": \"7\", \"ProductRelated\": \"8\", \"total_measure\": 310.25, \"share_within_group\": 9.088688208592847}, {\"TrafficType\": \"9\", \"ProductRelated\": \"12\", \"total_measure\": 243.0, \"share_within_group\": 8.534301100514798}, {\"TrafficType\": \"19\", \"ProductRelated\": \"2\", \"total_measure\": 58.0, \"share_within_group\": 8.492795101108383}, {\"TrafficType\": \"9\", \"ProductRelated\": \"30\", \"total_measure\": 237.5, \"share_within_group\": 8.341137906881746}, {\"TrafficType\": \"7\", \"ProductRelated\": \"41\", \"total_measure\": 279.0, \"share_within_group\": 8.173228074770039}, {\"TrafficType\": \"19\", \"ProductRelated\": \"46\", \"total_measure\": 55.0, \"share_within_group\": 8.053512595878638}, {\"TrafficType\": \"9\", \"ProductRelated\": \"17\", \"total_measure\": 227.3333333, \"share_within_group\": 7.98407866899542}, {\"TrafficType\": \"9\", \"ProductRelated\": \"5\", \"total_measure\": 203.5, \"share_within_group\": 7.147038164422886}, {\"TrafficType\": \"8\", \"ProductRelated\": \"21\", \"total_measure\": 2532.11395727, \"share_within_group\": 7.121442414868804}, {\"TrafficType\": \"11\", \"ProductRelated\": \"67\", \"total_measure\": 1079.184314, \"share_within_group\": 6.9891027119106095}, {\"TrafficType\": \"11\", \"ProductRelated\": \"9\", \"total_measure\": 1043.85833333, \"share_within_group\": 6.760321674141005}, {\"TrafficType\": \"15\", \"ProductRelated\": \"22\", \"total_measure\": 179.5, \"share_within_group\": 6.732722783016209}, {\"TrafficType\": \"8\", \"ProductRelated\": \"3\", \"total_measure\": 2283.1666666300002, \"share_within_group\": 6.421290753234357}, {\"TrafficType\": \"8\", \"ProductRelated\": \"14\", \"total_measure\": 2209.83333367, \"share_within_group\": 6.215044463936977}, {\"TrafficType\": \"20\", \"ProductRelated\": \"23\", \"total_measure\": 980.6538314, \"share_within_group\": 6.2007472129230985}, {\"TrafficType\": \"8\", \"ProductRelated\": \"4\", \"total_measure\": 2119.325, \"share_within_group\": 5.960494353960268}, {\"TrafficType\": \"9\", \"ProductRelated\": \"3\", \"total_measure\": 169.0, \"share_within_group\": 5.935378131633748}, {\"TrafficType\": \"16\", \"ProductRelated\": \"16\", \"total_measure\": 52.0, \"share_within_group\": 5.857394960918508}, {\"TrafficType\": \"6\", \"ProductRelated\": \"18\", \"total_measure\": 1786.9, \"share_within_group\": 5.770735937735573}, {\"TrafficType\": \"13\", \"ProductRelated\": \"68\", \"total_measure\": 2855.7, \"share_within_group\": 5.703503893734373}, {\"TrafficType\": \"6\", \"ProductRelated\": \"24\", \"total_measure\": 1737.58333333, \"share_within_group\": 5.6114693527661315}, {\"TrafficType\": \"7\", \"ProductRelated\": \"59\", \"total_measure\": 184.2285714, \"share_within_group\": 5.396925204090525}, {\"TrafficType\": \"8\", \"ProductRelated\": \"20\", \"total_measure\": 1913.75, \"share_within_group\": 5.382325065712651}, {\"TrafficType\": \"10\", \"ProductRelated\": \"28\", \"total_measure\": 1851.57142856, \"share_within_group\": 5.376905121912637}, {\"TrafficType\": \"5\", \"ProductRelated\": \"8\", \"total_measure\": 1478.7619048, \"share_within_group\": 5.322501988744519}, {\"TrafficType\": \"15\", \"ProductRelated\": \"33\", \"total_measure\": 139.0, \"share_within_group\": 5.21364048378414}, {\"TrafficType\": \"5\", \"ProductRelated\": \"7\", \"total_measure\": 1420.68333333, \"share_within_group\": 5.1134600117033795}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.57}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m6",
+  "started_at": "2026-05-19T15:36:02.298264+00:00",
+  "ended_at": "2026-05-19T15:36:15.688200+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m6_00387f4822336c98",
+    "problem_id": "v2p_m6_8958f4b0003d68a4",
+    "dataset_id": "m6",
+    "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": "focused_target_view",
+    "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 focused_target_view. Focus on group_col=TrafficType, measure_col=Administrative_Duration.",
+    "bindings": {
+      "group_col": "TrafficType",
+      "measure_col": "Administrative_Duration",
+      "item_col": "ProductRelated",
+      "top_k": 14,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 93.25625,
+      "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=1/2",
+      "binding_index=29"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/sql/v2q_m6_00387f4822336c98.sql",
+  "usage_summary": {
+    "dataset_id": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_00387f4822336c98",
+    "api_calls": 0,
+    "input_tokens": 15058,
+    "cached_input_tokens": 12032,
+    "output_tokens": 731,
+    "total_tokens": 15789,
+    "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": 13369.4,
+    "sql_execution_elapsed_ms_total": 15.57,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:36:15.670984+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": 13369.4, "started_at": "2026-05-19T15:36:02.300792+00:00", "ended_at": "2026-05-19T15:36:15.670256+00:00", "prompt_metrics": {"chars": 10849, "bytes_utf8": 10849, "lines": 314, "estimated_tokens": null}, "response_metrics": {"chars": 832, "bytes_utf8": 832, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15058, "cached_input_tokens": 12032, "output_tokens": 731, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"TrafficType\\\",\\n  \\\"ProductRelated\\\",\\n  SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"TrafficType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nWHERE \\\"TrafficType\\\" IS NOT NULL\\n  AND \\\"ProductRelated\\\" IS NOT NULL\\n  AND \\\"Administrative_Duration\\\" IS NOT NULL\\n  AND TRIM(\\\"Administrative_Duration\\\") <> ''\\nGROUP BY \\\"TrafficType\\\", \\\"ProductRelated\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=TrafficType, item_col=ProductRelated, and measure_col=Administrative_Duration. Cast Administrative_Duration to REAL because the schema stores it as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m6",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m6_00387f4822336c98",
+  "api_calls": 0,
+  "input_tokens": 15058,
+  "cached_input_tokens": 12032,
+  "output_tokens": 731,
+  "total_tokens": 15789,
+  "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": 13369.4,
+  "sql_execution_elapsed_ms_total": 15.57,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/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=VisitorType, measure_col=Informational.
+Result preview: [{"VisitorType": "Other", "ProductRelated_Duration": "43", "total_measure": 4.0, "share_within_group": 26.666666666666668}, {"VisitorType": "Other", "ProductRelated_Duration": "9630.209524", "total_measure": 4.0, "share_within_group": 26.666666666666668}, {"VisitorType": "Other", "ProductRelated_Duration": "109", "total_measure": 2.0, "share_within_group": 13.333333333333334}, {"VisitorType": "Other", "ProductRelated_Duration": "1543.5", "total_measure": 2.0, "share_within_group": 13.333333333333334}, {"VisitorType": "Other", "ProductRelated_Duration": "1666.75", "total_measure": 1.0, "share_within_group": 6.666666666666667}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m6
+-- 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_m6_009952ac72018b27
+-- problem_id: v2p_m6_3e09ed76c5b4ce70
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "VisitorType", "ProductRelated_Duration",
+       SUM(CAST("Informational" AS REAL)) AS total_measure,
+       SUM(CAST("Informational" AS REAL)) * 100.0 / SUM(SUM(CAST("Informational" AS REAL))) OVER (PARTITION BY "VisitorType") AS share_within_group
+FROM "m6"
+GROUP BY "VisitorType", "ProductRelated_Duration"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/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 \"VisitorType\", \"ProductRelated_Duration\",\n       SUM(CAST(\"Informational\" AS REAL)) AS total_measure,\n       SUM(CAST(\"Informational\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Informational\" AS REAL))) OVER (PARTITION BY \"VisitorType\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"VisitorType\", \"ProductRelated_Duration\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\",\\n       SUM(CAST(\\\"Informational\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"Informational\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational\\\" AS REAL))) OVER (PARTITION BY \\\"VisitorType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"VisitorType\", \"ProductRelated_Duration\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"43\", \"total_measure\": 4.0, \"share_within_group\": 26.666666666666668}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"9630.209524\", \"total_measure\": 4.0, \"share_within_group\": 26.666666666666668}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"109\", \"total_measure\": 2.0, \"share_within_group\": 13.333333333333334}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"1543.5\", \"total_measure\": 2.0, \"share_within_group\": 13.333333333333334}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"1666.75\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"539.5\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"VisitorType\": \"Other\", \"ProductRelated_Duration\": \"67.66666667\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"665.5666667\", \"total_measure\": 10.0, \"share_within_group\": 1.7699115044247788}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1886.5\", \"total_measure\": 9.0, \"share_within_group\": 1.592920353982301}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"12983.78771\", \"total_measure\": 7.0, \"share_within_group\": 1.238938053097345}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1446.733333\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"160.5\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"2989.494048\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"481.31\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"838.15\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"944.8\", \"total_measure\": 6.0, \"share_within_group\": 1.0619469026548674}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1176.5\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"128.5\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"239.7\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"513.4666667\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"577.6\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"851.6666667\", \"total_measure\": 5.0, \"share_within_group\": 0.8849557522123894}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1055.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1243.5\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1357.833333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"138.4166667\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1679.833333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"213.5\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"2816.43881\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"2839.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"328\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"333.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"376\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"385.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"4114.083333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"427.0833333\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"46\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"5579.315873\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"595.0095238\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"67\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"678.5\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"70.75\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"74.6\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"806.65\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"910.0809524\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"924\", \"total_measure\": 4.0, \"share_within_group\": 0.7079646017699115}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"10\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"1005.806061\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"101\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}, {\"VisitorType\": \"New_Visitor\", \"ProductRelated_Duration\": \"124.9583333\", \"total_measure\": 3.0, \"share_within_group\": 0.5309734513274337}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 61.23}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m6",
+  "started_at": "2026-05-19T15:36:28.040245+00:00",
+  "ended_at": "2026-05-19T15:36:39.428537+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m6_009952ac72018b27",
+    "problem_id": "v2p_m6_3e09ed76c5b4ce70",
+    "dataset_id": "m6",
+    "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=VisitorType, measure_col=Informational.",
+    "bindings": {
+      "group_col": "VisitorType",
+      "measure_col": "Informational",
+      "item_col": "ProductRelated_Duration",
+      "top_k": 10,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.0,
+      "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=7",
+      "sql_variant_index=1/2",
+      "binding_index=30"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "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_b/m6/sql/v2q_m6_009952ac72018b27.sql",
+  "usage_summary": {
+    "dataset_id": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_009952ac72018b27",
+    "api_calls": 0,
+    "input_tokens": 15058,
+    "cached_input_tokens": 12032,
+    "output_tokens": 496,
+    "total_tokens": 15554,
+    "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": 11321.39,
+    "sql_execution_elapsed_ms_total": 61.23,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:36:39.364917+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": 11321.39, "started_at": "2026-05-19T15:36:28.042115+00:00", "ended_at": "2026-05-19T15:36:39.363541+00:00", "prompt_metrics": {"chars": 10838, "bytes_utf8": 10838, "lines": 314, "estimated_tokens": null}, "response_metrics": {"chars": 681, "bytes_utf8": 681, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15058, "cached_input_tokens": 12032, "output_tokens": 496, "reasoning_output_tokens": 323}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\",\\n       SUM(CAST(\\\"Informational\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"Informational\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Informational\\\" AS REAL))) OVER (PARTITION BY \\\"VisitorType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"VisitorType\\\", \\\"ProductRelated_Duration\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"VisitorType\\\", item_col=\\\"ProductRelated_Duration\\\", and measure_col=\\\"Informational\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m6",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m6_009952ac72018b27",
+  "api_calls": 0,
+  "input_tokens": 15058,
+  "cached_input_tokens": 12032,
+  "output_tokens": 496,
+  "total_tokens": 15554,
+  "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": 11321.39,
+  "sql_execution_elapsed_ms_total": 61.23,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_009952ac72018b27/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/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=Region, measure_col=BounceRates.
+Result preview: [{"Region": "1", "total_measure": 105.589241752}, {"Region": "3", "total_measure": 54.006239033}, {"Region": "4", "total_measure": 27.39423404}, {"Region": "2", "total_measure": 25.998817111}, {"Region": "6", "total_measure": 19.095766575}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m6
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_m6_0153b629293e135f
+-- problem_id: v2p_m6_4bb20c067f639448
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "Region",
+  SUM(CAST("BounceRates" AS REAL)) AS total_measure
+FROM "m6"
+GROUP BY "Region"
+ORDER BY total_measure DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/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\n  \"Region\",\n  SUM(CAST(\"BounceRates\" AS REAL)) AS total_measure\nFROM \"m6\"\nGROUP BY \"Region\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n  \\\"Region\\\",\\n  SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Region\", \"total_measure\"], \"rows\": [{\"Region\": \"1\", \"total_measure\": 105.589241752}, {\"Region\": \"3\", \"total_measure\": 54.006239033}, {\"Region\": \"4\", \"total_measure\": 27.39423404}, {\"Region\": \"2\", \"total_measure\": 25.998817111}, {\"Region\": \"6\", \"total_measure\": 19.095766575}, {\"Region\": \"7\", \"total_measure\": 15.514705054}, {\"Region\": \"9\", \"total_measure\": 11.094416348000001}, {\"Region\": \"8\", \"total_measure\": 8.342854154}, {\"Region\": \"5\", \"total_measure\": 6.583447137}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.27}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m6",
+  "started_at": "2026-05-19T15:30:22.348647+00:00",
+  "ended_at": "2026-05-19T15:30:33.677883+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m6_0153b629293e135f",
+    "problem_id": "v2p_m6_4bb20c067f639448",
+    "dataset_id": "m6",
+    "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_distribution_shift",
+    "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=Region, measure_col=BounceRates.",
+    "bindings": {
+      "group_col": "Region",
+      "measure_col": "BounceRates",
+      "top_k": 11,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 0.016813,
+      "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=7",
+      "sql_variant_index=1/2",
+      "binding_index=6"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "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_b/m6/sql/v2q_m6_0153b629293e135f.sql",
+  "usage_summary": {
+    "dataset_id": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_0153b629293e135f",
+    "api_calls": 0,
+    "input_tokens": 14936,
+    "cached_input_tokens": 13696,
+    "output_tokens": 302,
+    "total_tokens": 15238,
+    "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": 11318.3,
+    "sql_execution_elapsed_ms_total": 7.27,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:30:33.669238+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": 11318.3, "started_at": "2026-05-19T15:30:22.350149+00:00", "ended_at": "2026-05-19T15:30:33.668471+00:00", "prompt_metrics": {"chars": 10404, "bytes_utf8": 10404, "lines": 312, "estimated_tokens": null}, "response_metrics": {"chars": 367, "bytes_utf8": 367, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14936, "cached_input_tokens": 13696, "output_tokens": 302, "reasoning_output_tokens": 204}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n  \\\"Region\\\",\\n  SUM(CAST(\\\"BounceRates\\\" AS REAL)) AS total_measure\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the required grouped-sum template with group_col=\\\"Region\\\" and measure_col=\\\"BounceRates\\\". CAST is applied because the schema stores numeric-looking values as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m6",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m6_0153b629293e135f",
+  "api_calls": 0,
+  "input_tokens": 14936,
+  "cached_input_tokens": 13696,
+  "output_tokens": 302,
+  "total_tokens": 15238,
+  "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": 11318.3,
+  "sql_execution_elapsed_ms_total": 7.27,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0153b629293e135f/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m6",
+  "started_at": "2026-05-19T16:06:04.393352+00:00",
+  "ended_at": "2026-05-19T16:06:11.381476+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m6_06aba71eeaeedd92",
+    "problem_id": "v2p_m6_c8565fdde81cda4c",
+    "dataset_id": "m6",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=OperatingSystems.",
+    "bindings": {
+      "group_col": "OperatingSystems",
+      "top_k": 15,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 4.0,
+      "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"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=125"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "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",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:06:07.427317+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": 3029.83, "started_at": "2026-05-19T16:06:04.396684+00:00", "ended_at": "2026-05-19T16:06:07.426552+00:00", "prompt_metrics": {"chars": 10404, "bytes_utf8": 10404, "lines": 310, "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\":\"019e40fc-b881-7673-9742-a4e0cf9eb2d3\"}\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": "2026-05-19T16:06:11.381379+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": 2951.28, "started_at": "2026-05-19T16:06:08.429175+00:00", "ended_at": "2026-05-19T16:06:11.380513+00:00", "prompt_metrics": {"chars": 10404, "bytes_utf8": 10404, "lines": 310, "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\":\"019e40fc-c849-7ca0-a934-99cf3cc04bea\"}\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_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/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=Revenue, condition_col=Weekend.
+Result preview: [{"Revenue": "FALSE", "condition_ratio": 3.39932460953989}, {"Revenue": "TRUE", "condition_ratio": 2.823647294589178}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/generated_sql.sql

@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m6
+-- 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_m6_0e2e66f862cc66c8
+-- problem_id: v2p_m6_a1ae1b370c737eed
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "Revenue",
+           SUM(CASE WHEN "Weekend" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "Weekend" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "m6"
+    GROUP BY "Revenue"
+)
+SELECT "Revenue",
+       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_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/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 \"Revenue\",\n           SUM(CASE WHEN \"Weekend\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"Weekend\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"m6\"\n    GROUP BY \"Revenue\"\n)\nSELECT \"Revenue\",\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 \\\"Revenue\\\",\\n           SUM(CASE WHEN \\\"Weekend\\\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"m6\\\"\\n    GROUP BY \\\"Revenue\\\"\\n)\\nSELECT \\\"Revenue\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"Revenue\", \"condition_ratio\"], \"rows\": [{\"Revenue\": \"FALSE\", \"condition_ratio\": 3.39932460953989}, {\"Revenue\": \"TRUE\", \"condition_ratio\": 2.823647294589178}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.78}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m6",
+  "started_at": "2026-05-19T15:40:13.493283+00:00",
+  "ended_at": "2026-05-19T15:40:32.728238+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m6_0e2e66f862cc66c8",
+    "problem_id": "v2p_m6_a1ae1b370c737eed",
+    "dataset_id": "m6",
+    "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=Revenue, condition_col=Weekend.",
+    "bindings": {
+      "group_col": "Revenue",
+      "condition_col": "Weekend",
+      "condition_value": "FALSE",
+      "positive_value": "FALSE",
+      "negative_value": "TRUE",
+      "top_k": 13,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 93.25625,
+      "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=8",
+      "sql_variant_index=1/1",
+      "binding_index=43"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 8,
+    "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_b/m6/sql/v2q_m6_0e2e66f862cc66c8.sql",
+  "usage_summary": {
+    "dataset_id": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_0e2e66f862cc66c8",
+    "api_calls": 0,
+    "input_tokens": 15143,
+    "cached_input_tokens": 13696,
+    "output_tokens": 482,
+    "total_tokens": 15625,
+    "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": 19221.38,
+    "sql_execution_elapsed_ms_total": 8.78,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:40:32.717390+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": 19221.38, "started_at": "2026-05-19T15:40:13.494816+00:00", "ended_at": "2026-05-19T15:40:32.716226+00:00", "prompt_metrics": {"chars": 11214, "bytes_utf8": 11214, "lines": 315, "estimated_tokens": null}, "response_metrics": {"chars": 658, "bytes_utf8": 658, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15143, "cached_input_tokens": 13696, "output_tokens": 482, "reasoning_output_tokens": 301}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"Revenue\\\",\\n           SUM(CASE WHEN \\\"Weekend\\\" = 'FALSE' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"Weekend\\\" = 'TRUE' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"m6\\\"\\n    GROUP BY \\\"Revenue\\\"\\n)\\nSELECT \\\"Revenue\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Computes, for each Revenue group, the ratio of rows with Weekend='FALSE' to rows with Weekend='TRUE'. The ratio is NULL when a group has no Weekend='TRUE' rows.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m6",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m6_0e2e66f862cc66c8",
+  "api_calls": 0,
+  "input_tokens": 15143,
+  "cached_input_tokens": 13696,
+  "output_tokens": 482,
+  "total_tokens": 15625,
+  "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": 19221.38,
+  "sql_execution_elapsed_ms_total": 8.78,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Administrative, group_col_2=SpecialDay.
+Result preview: [{"Administrative": "0", "SpecialDay": "0", "row_count": 4950}, {"Administrative": "1", "SpecialDay": "0", "row_count": 1246}, {"Administrative": "2", "SpecialDay": "0", "row_count": 1023}, {"Administrative": "3", "SpecialDay": "0", "row_count": 860}, {"Administrative": "4", "SpecialDay": "0", "row_count": 724}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m6
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_m6_11d5f0d2df725d51
+-- problem_id: v2p_m6_4dbe694fddb34f69
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Administrative", "SpecialDay", COUNT(*) AS row_count
+FROM "m6"
+WHERE CAST("Informational" AS REAL) >= 0.0
+GROUP BY "Administrative", "SpecialDay"
+ORDER BY row_count DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/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_c2_filtered_group_count_2d\nSELECT \"Administrative\", \"SpecialDay\", COUNT(*) AS row_count\nFROM \"m6\"\nWHERE CAST(\"Informational\" AS REAL) >= 0.0\nGROUP BY \"Administrative\", \"SpecialDay\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Administrative\\\", \\\"SpecialDay\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Informational\\\" AS REAL) >= 0.0\\nGROUP BY \\\"Administrative\\\", \\\"SpecialDay\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Administrative\", \"SpecialDay\", \"row_count\"], \"rows\": [{\"Administrative\": \"0\", \"SpecialDay\": \"0\", \"row_count\": 4950}, {\"Administrative\": \"1\", \"SpecialDay\": \"0\", \"row_count\": 1246}, {\"Administrative\": \"2\", \"SpecialDay\": \"0\", \"row_count\": 1023}, {\"Administrative\": \"3\", \"SpecialDay\": \"0\", \"row_count\": 860}, {\"Administrative\": \"4\", \"SpecialDay\": \"0\", \"row_count\": 724}, {\"Administrative\": \"5\", \"SpecialDay\": \"0\", \"row_count\": 538}, {\"Administrative\": \"6\", \"SpecialDay\": \"0\", \"row_count\": 403}, {\"Administrative\": \"7\", \"SpecialDay\": \"0\", \"row_count\": 324}, {\"Administrative\": \"8\", \"SpecialDay\": \"0\", \"row_count\": 270}, {\"Administrative\": \"0\", \"SpecialDay\": \"0.6\", \"row_count\": 238}, {\"Administrative\": \"0\", \"SpecialDay\": \"0.8\", \"row_count\": 231}, {\"Administrative\": \"9\", \"SpecialDay\": \"0\", \"row_count\": 215}, {\"Administrative\": \"0\", \"SpecialDay\": \"0.4\", \"row_count\": 156}, {\"Administrative\": \"10\", \"SpecialDay\": \"0\", \"row_count\": 139}, {\"Administrative\": \"0\", \"SpecialDay\": \"0.2\", \"row_count\": 100}, {\"Administrative\": \"11\", \"SpecialDay\": \"0\", \"row_count\": 99}, {\"Administrative\": \"0\", \"SpecialDay\": \"1\", \"row_count\": 93}, {\"Administrative\": \"12\", \"SpecialDay\": \"0\", \"row_count\": 82}, {\"Administrative\": \"13\", \"SpecialDay\": \"0\", \"row_count\": 56}, {\"Administrative\": \"14\", \"SpecialDay\": \"0\", \"row_count\": 41}, {\"Administrative\": \"15\", \"SpecialDay\": \"0\", \"row_count\": 38}, {\"Administrative\": \"1\", \"SpecialDay\": \"0.6\", \"row_count\": 32}, {\"Administrative\": \"1\", \"SpecialDay\": \"0.4\", \"row_count\": 29}, {\"Administrative\": \"2\", \"SpecialDay\": \"0.8\", \"row_count\": 27}, {\"Administrative\": \"16\", \"SpecialDay\": \"0\", \"row_count\": 23}, {\"Administrative\": \"1\", \"SpecialDay\": \"0.8\", \"row_count\": 21}, {\"Administrative\": \"2\", \"SpecialDay\": \"0.6\", \"row_count\": 20}, {\"Administrative\": \"2\", \"SpecialDay\": \"0.2\", \"row_count\": 18}, {\"Administrative\": \"1\", \"SpecialDay\": \"0.2\", \"row_count\": 14}, {\"Administrative\": \"17\", \"SpecialDay\": \"0\", \"row_count\": 14}, {\"Administrative\": \"2\", \"SpecialDay\": \"0.4\", \"row_count\": 14}, {\"Administrative\": \"3\", \"SpecialDay\": \"0.6\", \"row_count\": 14}, {\"Administrative\": \"3\", \"SpecialDay\": \"0.8\", \"row_count\": 13}, {\"Administrative\": \"1\", \"SpecialDay\": \"1\", \"row_count\": 12}, {\"Administrative\": \"18\", \"SpecialDay\": \"0\", \"row_count\": 12}, {\"Administrative\": \"2\", \"SpecialDay\": \"1\", \"row_count\": 12}, {\"Administrative\": \"3\", \"SpecialDay\": \"0.4\", \"row_count\": 10}, {\"Administrative\": \"4\", \"SpecialDay\": \"0.4\", \"row_count\": 10}, {\"Administrative\": \"4\", \"SpecialDay\": \"0.6\", \"row_count\": 10}, {\"Administrative\": \"5\", \"SpecialDay\": \"0.6\", \"row_count\": 10}, {\"Administrative\": \"6\", \"SpecialDay\": \"0.6\", \"row_count\": 10}, {\"Administrative\": \"3\", \"SpecialDay\": \"0.2\", \"row_count\": 9}, {\"Administrative\": \"3\", \"SpecialDay\": \"1\", \"row_count\": 9}, {\"Administrative\": \"4\", \"SpecialDay\": \"0.2\", \"row_count\": 8}, {\"Administrative\": \"5\", \"SpecialDay\": \"0.8\", \"row_count\": 8}, {\"Administrative\": \"4\", \"SpecialDay\": \"1\", \"row_count\": 7}, {\"Administrative\": \"5\", \"SpecialDay\": \"0.2\", \"row_count\": 7}, {\"Administrative\": \"5\", \"SpecialDay\": \"1\", \"row_count\": 7}, {\"Administrative\": \"19\", \"SpecialDay\": \"0\", \"row_count\": 6}, {\"Administrative\": \"4\", \"SpecialDay\": \"0.8\", \"row_count\": 6}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.83}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m6",
+  "started_at": "2026-05-19T15:42:30.876640+00:00",
+  "ended_at": "2026-05-19T15:42:42.706168+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m6_11d5f0d2df725d51",
+    "problem_id": "v2p_m6_4dbe694fddb34f69",
+    "dataset_id": "m6",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "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 Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Administrative, group_col_2=SpecialDay.",
+    "bindings": {
+      "group_col": "Administrative",
+      "group_col_2": "SpecialDay",
+      "predicate_col": "Informational",
+      "predicate_op": ">=",
+      "predicate_value": 0.0,
+      "top_k": 11,
+      "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": 4.0,
+      "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",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/1",
+      "binding_index=56"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 9,
+    "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_b/m6/sql/v2q_m6_11d5f0d2df725d51.sql",
+  "usage_summary": {
+    "dataset_id": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_11d5f0d2df725d51",
+    "api_calls": 0,
+    "input_tokens": 15030,
+    "cached_input_tokens": 12032,
+    "output_tokens": 361,
+    "total_tokens": 15391,
+    "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": 11811.53,
+    "sql_execution_elapsed_ms_total": 12.83,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:42:42.690459+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": 11811.53, "started_at": "2026-05-19T15:42:30.877906+00:00", "ended_at": "2026-05-19T15:42:42.689464+00:00", "prompt_metrics": {"chars": 10728, "bytes_utf8": 10728, "lines": 316, "estimated_tokens": null}, "response_metrics": {"chars": 521, "bytes_utf8": 521, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15030, "cached_input_tokens": 12032, "output_tokens": 361, "reasoning_output_tokens": 234}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Administrative\\\", \\\"SpecialDay\\\", COUNT(*) AS row_count\\nFROM \\\"m6\\\"\\nWHERE CAST(\\\"Informational\\\" AS REAL) >= 0.0\\nGROUP BY \\\"Administrative\\\", \\\"SpecialDay\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"Administrative\\\", group_col_2=\\\"SpecialDay\\\", and predicate_col=\\\"Informational\\\". Applied CAST(... AS REAL) because the schema snapshot stores numeric fields as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m6",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m6_11d5f0d2df725d51",
+  "api_calls": 0,
+  "input_tokens": 15030,
+  "cached_input_tokens": 12032,
+  "output_tokens": 361,
+  "total_tokens": 15391,
+  "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": 11811.53,
+  "sql_execution_elapsed_ms_total": 12.83,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_11d5f0d2df725d51/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:06:55.505518+00:00",
+  "ended_at": "2026-05-19T16:06:58.280078+00:00",
+  "elapsed_ms": 2774.54,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 10491,
+    "bytes_utf8": 10491,
+    "lines": 312,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:06:59.281840+00:00",
+  "ended_at": "2026-05-19T16:07:02.134653+00:00",
+  "elapsed_ms": 2852.77,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 10491,
+    "bytes_utf8": 10491,
+    "lines": 312,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,312 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m6",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Informational, measure_col=ExitRates.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "Informational",
+    "measure_col": "ExitRates",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.05,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,312 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m6",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=Informational, measure_col=ExitRates.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "Informational",
+    "measure_col": "ExitRates",
+    "top_k": 13,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.05,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-8021-7240-9c71-a3fafe0fd9ba"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-8021-7240-9c71-a3fafe0fd9ba"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-8eca-7021-8283-40e83d8f92d8"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_13ba9b2ad748f7f0/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fd-8eca-7021-8283-40e83d8f92d8"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/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=Region, measure_col=Administrative.
+Result preview: [{"Region": "8", "Informational_Duration": "0", "total_measure": 719.0, "share_within_group": 66.75951717734448}, {"Region": "5", "Informational_Duration": "0", "total_measure": 502.0, "share_within_group": 64.11238825031928}, {"Region": "9", "Informational_Duration": "0", "total_measure": 645.0, "share_within_group": 61.37012369172217}, {"Region": "6", "Informational_Duration": "0", "total_measure": 1005.0, "share_within_group": 60.725075528700906}, {"Region": "4", "Informational_Duration": "0", "total_measure": 1631.0, "share_within_group": 59.91917707567965}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m6
+-- 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_m6_197bcfd76a92d4d0
+-- problem_id: v2p_m6_85b71d5c3a07d2d6
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Region", "Informational_Duration",
+       SUM(CAST("Administrative" AS REAL)) AS total_measure,
+       SUM(CAST("Administrative" AS REAL)) * 100.0 / SUM(SUM(CAST("Administrative" AS REAL))) OVER (PARTITION BY "Region") AS share_within_group
+FROM "m6"
+GROUP BY "Region", "Informational_Duration"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/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 \"Region\", \"Informational_Duration\",\n       SUM(CAST(\"Administrative\" AS REAL)) AS total_measure,\n       SUM(CAST(\"Administrative\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Administrative\" AS REAL))) OVER (PARTITION BY \"Region\") AS share_within_group\nFROM \"m6\"\nGROUP BY \"Region\", \"Informational_Duration\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Region\\\", \\\"Informational_Duration\\\",\\n       SUM(CAST(\\\"Administrative\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"Administrative\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative\\\" AS REAL))) OVER (PARTITION BY \\\"Region\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\", \\\"Informational_Duration\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Region\", \"Informational_Duration\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Region\": \"8\", \"Informational_Duration\": \"0\", \"total_measure\": 719.0, \"share_within_group\": 66.75951717734448}, {\"Region\": \"5\", \"Informational_Duration\": \"0\", \"total_measure\": 502.0, \"share_within_group\": 64.11238825031928}, {\"Region\": \"9\", \"Informational_Duration\": \"0\", \"total_measure\": 645.0, \"share_within_group\": 61.37012369172217}, {\"Region\": \"6\", \"Informational_Duration\": \"0\", \"total_measure\": 1005.0, \"share_within_group\": 60.725075528700906}, {\"Region\": \"4\", \"Informational_Duration\": \"0\", \"total_measure\": 1631.0, \"share_within_group\": 59.91917707567965}, {\"Region\": \"7\", \"Informational_Duration\": \"0\", \"total_measure\": 1071.0, \"share_within_group\": 59.765625}, {\"Region\": \"2\", \"Informational_Duration\": \"0\", \"total_measure\": 1626.0, \"share_within_group\": 59.53863053826437}, {\"Region\": \"3\", \"Informational_Duration\": \"0\", \"total_measure\": 3494.0, \"share_within_group\": 59.44198707043212}, {\"Region\": \"1\", \"Informational_Duration\": \"0\", \"total_measure\": 6297.0, \"share_within_group\": 57.999447361149485}, {\"Region\": \"5\", \"Informational_Duration\": \"625.5\", \"total_measure\": 24.0, \"share_within_group\": 3.0651340996168583}, {\"Region\": \"9\", \"Informational_Duration\": \"11\", \"total_measure\": 27.0, \"share_within_group\": 2.5689819219790677}, {\"Region\": \"5\", \"Informational_Duration\": \"18\", \"total_measure\": 15.0, \"share_within_group\": 1.9157088122605364}, {\"Region\": \"9\", \"Informational_Duration\": \"51.4\", \"total_measure\": 19.0, \"share_within_group\": 1.8078020932445291}, {\"Region\": \"5\", \"Informational_Duration\": \"3\", \"total_measure\": 13.0, \"share_within_group\": 1.6602809706257982}, {\"Region\": \"5\", \"Informational_Duration\": \"85\", \"total_measure\": 13.0, \"share_within_group\": 1.6602809706257982}, {\"Region\": \"6\", \"Informational_Duration\": \"28\", \"total_measure\": 25.0, \"share_within_group\": 1.5105740181268883}, {\"Region\": \"8\", \"Informational_Duration\": \"199.4\", \"total_measure\": 16.0, \"share_within_group\": 1.4856081708449396}, {\"Region\": \"5\", \"Informational_Duration\": \"109.8\", \"total_measure\": 11.0, \"share_within_group\": 1.40485312899106}, {\"Region\": \"5\", \"Informational_Duration\": \"6\", \"total_measure\": 11.0, \"share_within_group\": 1.40485312899106}, {\"Region\": \"5\", \"Informational_Duration\": \"70\", \"total_measure\": 11.0, \"share_within_group\": 1.40485312899106}, {\"Region\": \"8\", \"Informational_Duration\": \"48.35\", \"total_measure\": 15.0, \"share_within_group\": 1.392757660167131}, {\"Region\": \"9\", \"Informational_Duration\": \"449.3333333\", \"total_measure\": 14.0, \"share_within_group\": 1.3320647002854424}, {\"Region\": \"7\", \"Informational_Duration\": \"12\", \"total_measure\": 23.0, \"share_within_group\": 1.2834821428571428}, {\"Region\": \"5\", \"Informational_Duration\": \"38.2\", \"total_measure\": 10.0, \"share_within_group\": 1.277139208173691}, {\"Region\": \"5\", \"Informational_Duration\": \"86\", \"total_measure\": 10.0, \"share_within_group\": 1.277139208173691}, {\"Region\": \"9\", \"Informational_Duration\": \"102.8\", \"total_measure\": 13.0, \"share_within_group\": 1.236917221693625}, {\"Region\": \"9\", \"Informational_Duration\": \"12\", \"total_measure\": 13.0, \"share_within_group\": 1.236917221693625}, {\"Region\": \"9\", \"Informational_Duration\": \"22.5\", \"total_measure\": 13.0, \"share_within_group\": 1.236917221693625}, {\"Region\": \"9\", \"Informational_Duration\": \"368.1547619\", \"total_measure\": 13.0, \"share_within_group\": 1.236917221693625}, {\"Region\": \"7\", \"Informational_Duration\": \"20\", \"total_measure\": 22.0, \"share_within_group\": 1.2276785714285714}, {\"Region\": \"7\", \"Informational_Duration\": \"84.8\", \"total_measure\": 21.0, \"share_within_group\": 1.171875}, {\"Region\": \"5\", \"Informational_Duration\": \"124.2\", \"total_measure\": 9.0, \"share_within_group\": 1.1494252873563218}, {\"Region\": \"5\", \"Informational_Duration\": \"177.8\", \"total_measure\": 9.0, \"share_within_group\": 1.1494252873563218}, {\"Region\": \"5\", \"Informational_Duration\": \"302\", \"total_measure\": 9.0, \"share_within_group\": 1.1494252873563218}, {\"Region\": \"9\", \"Informational_Duration\": \"8\", \"total_measure\": 12.0, \"share_within_group\": 1.141769743101808}, {\"Region\": \"8\", \"Informational_Duration\": \"276.08\", \"total_measure\": 12.0, \"share_within_group\": 1.1142061281337048}, {\"Region\": \"6\", \"Informational_Duration\": \"114.3333333\", \"total_measure\": 18.0, \"share_within_group\": 1.0876132930513596}, {\"Region\": \"6\", \"Informational_Duration\": \"52.4\", \"total_measure\": 18.0, \"share_within_group\": 1.0876132930513596}, {\"Region\": \"6\", \"Informational_Duration\": \"70.25\", \"total_measure\": 18.0, \"share_within_group\": 1.0876132930513596}, {\"Region\": \"7\", \"Informational_Duration\": \"9\", \"total_measure\": 19.0, \"share_within_group\": 1.0602678571428572}, {\"Region\": \"9\", \"Informational_Duration\": \"32\", \"total_measure\": 11.0, \"share_within_group\": 1.0466222645099905}, {\"Region\": \"9\", \"Informational_Duration\": \"34\", \"total_measure\": 11.0, \"share_within_group\": 1.0466222645099905}, {\"Region\": \"5\", \"Informational_Duration\": \"1652\", \"total_measure\": 8.0, \"share_within_group\": 1.0217113665389528}, {\"Region\": \"5\", \"Informational_Duration\": \"36.33333333\", \"total_measure\": 8.0, \"share_within_group\": 1.0217113665389528}, {\"Region\": \"5\", \"Informational_Duration\": \"57\", \"total_measure\": 8.0, \"share_within_group\": 1.0217113665389528}, {\"Region\": \"8\", \"Informational_Duration\": \"104\", \"total_measure\": 11.0, \"share_within_group\": 1.021355617455896}, {\"Region\": \"8\", \"Informational_Duration\": \"35.7\", \"total_measure\": 11.0, \"share_within_group\": 1.021355617455896}, {\"Region\": \"7\", \"Informational_Duration\": \"26\", \"total_measure\": 18.0, \"share_within_group\": 1.0044642857142858}, {\"Region\": \"2\", \"Informational_Duration\": \"503.7222222\", \"total_measure\": 26.0, \"share_within_group\": 0.9520322226290736}, {\"Region\": \"9\", \"Informational_Duration\": \"147\", \"total_measure\": 10.0, \"share_within_group\": 0.9514747859181731}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 16.13}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "m6",
+  "started_at": "2026-05-19T15:35:36.041655+00:00",
+  "ended_at": "2026-05-19T15:35:46.213667+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m6_197bcfd76a92d4d0",
+    "problem_id": "v2p_m6_85b71d5c3a07d2d6",
+    "dataset_id": "m6",
+    "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=Region, measure_col=Administrative.",
+    "bindings": {
+      "group_col": "Region",
+      "measure_col": "Administrative",
+      "item_col": "Informational_Duration",
+      "top_k": 13,
+      "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": 4.0,
+      "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=5",
+      "sql_variant_index=1/2",
+      "binding_index=28"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "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_b/m6/sql/v2q_m6_197bcfd76a92d4d0.sql",
+  "usage_summary": {
+    "dataset_id": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_197bcfd76a92d4d0",
+    "api_calls": 0,
+    "input_tokens": 15054,
+    "cached_input_tokens": 13696,
+    "output_tokens": 492,
+    "total_tokens": 15546,
+    "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": 10147.22,
+    "sql_execution_elapsed_ms_total": 16.13,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:35:46.191157+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": 10147.22, "started_at": "2026-05-19T15:35:36.043148+00:00", "ended_at": "2026-05-19T15:35:46.190388+00:00", "prompt_metrics": {"chars": 10829, "bytes_utf8": 10829, "lines": 314, "estimated_tokens": null}, "response_metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15054, "cached_input_tokens": 13696, "output_tokens": 492, "reasoning_output_tokens": 327}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Region\\\", \\\"Informational_Duration\\\",\\n       SUM(CAST(\\\"Administrative\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"Administrative\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative\\\" AS REAL))) OVER (PARTITION BY \\\"Region\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nGROUP BY \\\"Region\\\", \\\"Informational_Duration\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"Region\\\", item_col=\\\"Informational_Duration\\\", and measure_col=\\\"Administrative\\\". Cast \\\"Administrative\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m6",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m6_197bcfd76a92d4d0",
+  "api_calls": 0,
+  "input_tokens": 15054,
+  "cached_input_tokens": 13696,
+  "output_tokens": 492,
+  "total_tokens": 15546,
+  "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": 10147.22,
+  "sql_execution_elapsed_ms_total": 16.13,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_197bcfd76a92d4d0/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Revenue, condition_col=Weekend.
+Result preview: [{"Revenue": "TRUE", "condition_rate": 0.26153039832285113}, {"Revenue": "FALSE", "condition_rate": 0.22730761849932835}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_1e24eb96b29e4309/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: m6
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_m6_1e24eb96b29e4309
+-- problem_id: v2p_m6_9629fadcd13cfbf6
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "Revenue",
+  AVG(CASE WHEN "Weekend" = 'TRUE' THEN 1.0 ELSE 0 END) AS condition_rate
+FROM "m6"
+GROUP BY "Revenue"
+ORDER BY condition_rate DESC;