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Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/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=ACTION, measure_col=RESOURCE.
+Result preview: [{"ACTION": "0", "ROLE_FAMILY": "290919", "total_measure": 28849591.0, "share_within_group": 35.45126624133392}, {"ACTION": "1", "ROLE_FAMILY": "290919", "total_measure": 449605142.0, "share_within_group": 33.927454036954536}, {"ACTION": "0", "ROLE_FAMILY": "19721", "total_measure": 8389033.0, "share_within_group": 10.308702206223172}, {"ACTION": "0", "ROLE_FAMILY": "292795", "total_measure": 7359955.0, "share_within_group": 9.044139455191472}, {"ACTION": "1", "ROLE_FAMILY": "118424", "total_measure": 117190699.0, "share_within_group": 8.843275315301161}]

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/generated_sql.sql

@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: c9
+-- 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_c9_006d375b4014eeaf
+-- problem_id: v2p_c9_dc96e90f651c8cf8
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "ACTION",
+  "ROLE_FAMILY",
+  SUM(CAST("RESOURCE" AS REAL)) AS "total_measure",
+  SUM(CAST("RESOURCE" AS REAL)) * 100.0 / SUM(SUM(CAST("RESOURCE" AS REAL))) OVER (PARTITION BY "ACTION") AS "share_within_group"
+FROM "c9"
+GROUP BY
+  "ACTION",
+  "ROLE_FAMILY"
+ORDER BY "share_within_group" DESC
+LIMIT 14;

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/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  \"ACTION\",\n  \"ROLE_FAMILY\",\n  SUM(CAST(\"RESOURCE\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"RESOURCE\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"RESOURCE\" AS REAL))) OVER (PARTITION BY \"ACTION\") AS \"share_within_group\"\nFROM \"c9\"\nGROUP BY\n  \"ACTION\",\n  \"ROLE_FAMILY\"\nORDER BY \"share_within_group\" DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ACTION\\\",\\n  \\\"ROLE_FAMILY\\\",\\n  SUM(CAST(\\\"RESOURCE\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"RESOURCE\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"RESOURCE\\\" AS REAL))) OVER (PARTITION BY \\\"ACTION\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c9\\\"\\nGROUP BY\\n  \\\"ACTION\\\",\\n  \\\"ROLE_FAMILY\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\", \"columns\": [\"ACTION\", \"ROLE_FAMILY\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ACTION\": \"0\", \"ROLE_FAMILY\": \"290919\", \"total_measure\": 28849591.0, \"share_within_group\": 35.45126624133392}, {\"ACTION\": \"1\", \"ROLE_FAMILY\": \"290919\", \"total_measure\": 449605142.0, \"share_within_group\": 33.927454036954536}, {\"ACTION\": \"0\", \"ROLE_FAMILY\": \"19721\", \"total_measure\": 8389033.0, \"share_within_group\": 10.308702206223172}, {\"ACTION\": \"0\", \"ROLE_FAMILY\": \"292795\", \"total_measure\": 7359955.0, \"share_within_group\": 9.044139455191472}, {\"ACTION\": \"1\", \"ROLE_FAMILY\": \"118424\", \"total_measure\": 117190699.0, \"share_within_group\": 8.843275315301161}, {\"ACTION\": \"1\", \"ROLE_FAMILY\": \"19721\", \"total_measure\": 90331185.0, \"share_within_group\": 6.816441452511539}, {\"ACTION\": \"1\", \"ROLE_FAMILY\": \"117887\", \"total_measure\": 87358220.0, \"share_within_group\": 6.59209986037073}, {\"ACTION\": \"0\", \"ROLE_FAMILY\": \"118424\", \"total_measure\": 4186501.0, \"share_within_group\": 5.144501409763857}, {\"ACTION\": \"1\", \"ROLE_FAMILY\": \"308574\", \"total_measure\": 57070027.0, \"share_within_group\": 4.306535973581579}, {\"ACTION\": \"0\", \"ROLE_FAMILY\": \"117887\", \"total_measure\": 3450656.0, \"share_within_group\": 4.2402724032814305}, {\"ACTION\": \"1\", \"ROLE_FAMILY\": \"118398\", \"total_measure\": 55933871.0, \"share_within_group\": 4.220801010014792}, {\"ACTION\": \"0\", \"ROLE_FAMILY\": \"118398\", \"total_measure\": 3073238.0, \"share_within_group\": 3.776489537095502}, {\"ACTION\": \"0\", \"ROLE_FAMILY\": \"118331\", \"total_measure\": 2776861.0, \"share_within_group\": 3.412292348483441}, {\"ACTION\": \"1\", \"ROLE_FAMILY\": \"292795\", \"total_measure\": 44577740.0, \"share_within_group\": 3.363861049705943}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 26.54}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "c9",
+  "started_at": "2026-05-19T15:33:58.998423+00:00",
+  "ended_at": "2026-05-19T15:34:20.811007+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c9_006d375b4014eeaf",
+    "problem_id": "v2p_c9_dc96e90f651c8cf8",
+    "dataset_id": "c9",
+    "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=ACTION, measure_col=RESOURCE.",
+    "bindings": {
+      "group_col": "ACTION",
+      "measure_col": "RESOURCE",
+      "item_col": "ROLE_FAMILY",
+      "top_k": 14,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 74189.0,
+      "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=1",
+      "sql_variant_index=1/2",
+      "binding_index=24"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/sql/v2q_c9_006d375b4014eeaf.sql",
+  "usage_summary": {
+    "dataset_id": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_006d375b4014eeaf",
+    "api_calls": 0,
+    "input_tokens": 14332,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1028,
+    "total_tokens": 15360,
+    "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": 21781.23,
+    "sql_execution_elapsed_ms_total": 26.54,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:34:20.782232+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": 21781.23, "started_at": "2026-05-19T15:33:59.000204+00:00", "ended_at": "2026-05-19T15:34:20.781458+00:00", "prompt_metrics": {"chars": 7531, "bytes_utf8": 7531, "lines": 218, "estimated_tokens": null}, "response_metrics": {"chars": 645, "bytes_utf8": 645, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14332, "cached_input_tokens": 12032, "output_tokens": 1028, "reasoning_output_tokens": 844}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ACTION\\\",\\n  \\\"ROLE_FAMILY\\\",\\n  SUM(CAST(\\\"RESOURCE\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"RESOURCE\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"RESOURCE\\\" AS REAL))) OVER (PARTITION BY \\\"ACTION\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c9\\\"\\nGROUP BY\\n  \\\"ACTION\\\",\\n  \\\"ROLE_FAMILY\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"ACTION\\\", item_col=\\\"ROLE_FAMILY\\\", and measure_col=\\\"RESOURCE\\\". Cast \\\"RESOURCE\\\" from TEXT to REAL for SQLite aggregation and used LIMIT 14 from the provided binding.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c9_006d375b4014eeaf",
+  "api_calls": 0,
+  "input_tokens": 14332,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1028,
+  "total_tokens": 15360,
+  "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": 21781.23,
+  "sql_execution_elapsed_ms_total": 26.54,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ROLE_DEPTNAME, measure_col=ROLE_TITLE.
+Result preview: [{"ROLE_DEPTNAME": "118317", "percentile_measure": 307024.0}, {"ROLE_DEPTNAME": "118409", "percentile_measure": 307024.0}, {"ROLE_DEPTNAME": "118458", "percentile_measure": 307024.0}, {"ROLE_DEPTNAME": "118791", "percentile_measure": 307024.0}, {"ROLE_DEPTNAME": "120304", "percentile_measure": 307024.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/generated_sql.sql

@@ -0,0 +1,63 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: c9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_c9_02c33d9132bcb8e6
+-- problem_id: v2p_c9_5a741b3d4087b00e
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ranked" AS (
+  SELECT
+    "ROLE_DEPTNAME" AS "group_col",
+    CAST("ROLE_TITLE" AS REAL) AS "measure_val",
+    ROW_NUMBER() OVER (
+      PARTITION BY "ROLE_DEPTNAME"
+      ORDER BY CAST("ROLE_TITLE" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "ROLE_DEPTNAME"
+    ) AS "cnt"
+  FROM "c9"
+  WHERE "ROLE_DEPTNAME" IS NOT NULL
+    AND "ROLE_TITLE" IS NOT NULL
+),
+"group_stats" AS (
+  SELECT DISTINCT
+    "group_col",
+    "cnt",
+    (0.9 * ("cnt" - 1) + 1.0) AS "p",
+    CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) AS "lo_rn",
+    CASE
+      WHEN (0.9 * ("cnt" - 1) + 1.0) = CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) THEN CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER)
+      ELSE CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) + 1
+    END AS "hi_rn"
+  FROM "ranked"
+  WHERE "cnt" >= 5
+),
+"picked" AS (
+  SELECT
+    "group_stats"."group_col",
+    "group_stats"."p",
+    MAX(CASE WHEN "ranked"."rn" = "group_stats"."lo_rn" THEN "ranked"."measure_val" END) AS "lo_val",
+    MAX(CASE WHEN "ranked"."rn" = "group_stats"."hi_rn" THEN "ranked"."measure_val" END) AS "hi_val"
+  FROM "group_stats"
+  JOIN "ranked"
+    ON "ranked"."group_col" = "group_stats"."group_col"
+  GROUP BY
+    "group_stats"."group_col",
+    "group_stats"."p"
+)
+SELECT
+  "group_col" AS "ROLE_DEPTNAME",
+  CASE
+    WHEN "lo_val" IS NULL THEN NULL
+    WHEN "hi_val" IS NULL THEN "lo_val"
+    ELSE "lo_val" + ("p" - CAST("p" AS INTEGER)) * ("hi_val" - "lo_val")
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC, "ROLE_DEPTNAME";

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/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_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"ROLE_DEPTNAME\" AS \"group_col\",\n    CAST(\"ROLE_TITLE\" AS REAL) AS \"measure_val\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"ROLE_DEPTNAME\"\n      ORDER BY CAST(\"ROLE_TITLE\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"ROLE_DEPTNAME\"\n    ) AS \"cnt\"\n  FROM \"c9\"\n  WHERE \"ROLE_DEPTNAME\" IS NOT NULL\n    AND \"ROLE_TITLE\" IS NOT NULL\n),\n\"group_stats\" AS (\n  SELECT DISTINCT\n    \"group_col\",\n    \"cnt\",\n    (0.9 * (\"cnt\" - 1) + 1.0) AS \"p\",\n    CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) AS \"lo_rn\",\n    CASE\n      WHEN (0.9 * (\"cnt\" - 1) + 1.0) = CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) THEN CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER)\n      ELSE CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) + 1\n    END AS \"hi_rn\"\n  FROM \"ranked\"\n  WHERE \"cnt\" >= 5\n),\n\"picked\" AS (\n  SELECT\n    \"group_stats\".\"group_col\",\n    \"group_stats\".\"p\",\n    MAX(CASE WHEN \"ranked\".\"rn\" = \"group_stats\".\"lo_rn\" THEN \"ranked\".\"measure_val\" END) AS \"lo_val\",\n    MAX(CASE WHEN \"ranked\".\"rn\" = \"group_stats\".\"hi_rn\" THEN \"ranked\".\"measure_val\" END) AS \"hi_val\"\n  FROM \"group_stats\"\n  JOIN \"ranked\"\n    ON \"ranked\".\"group_col\" = \"group_stats\".\"group_col\"\n  GROUP BY\n    \"group_stats\".\"group_col\",\n    \"group_stats\".\"p\"\n)\nSELECT\n  \"group_col\" AS \"ROLE_DEPTNAME\",\n  CASE\n    WHEN \"lo_val\" IS NULL THEN NULL\n    WHEN \"hi_val\" IS NULL THEN \"lo_val\"\n    ELSE \"lo_val\" + (\"p\" - CAST(\"p\" AS INTEGER)) * (\"hi_val\" - \"lo_val\")\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC, \"ROLE_DEPTNAME\";", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"ROLE_DEPTNAME\\\" AS \\\"group_col\\\",\\n    CAST(\\\"ROLE_TITLE\\\" AS REAL) AS \\\"measure_val\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"ROLE_DEPTNAME\\\"\\n      ORDER BY CAST(\\\"ROLE_TITLE\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"ROLE_DEPTNAME\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"c9\\\"\\n  WHERE \\\"ROLE_DEPTNAME\\\" IS NOT NULL\\n    AND \\\"ROLE_TITLE\\\" IS NOT NULL\\n),\\n\\\"group_stats\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    (0.9 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"p\\\",\\n    CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"lo_rn\\\",\\n    CASE\\n      WHEN (0.9 * (\\\"cnt\\\" - 1) + 1.0) = CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) THEN CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER)\\n      ELSE CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) + 1\\n    END AS \\\"hi_rn\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    \\\"group_stats\\\".\\\"group_col\\\",\\n    \\\"group_stats\\\".\\\"p\\\",\\n    MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"group_stats\\\".\\\"lo_rn\\\" THEN \\\"ranked\\\".\\\"measure_val\\\" END) AS \\\"lo_val\\\",\\n    MAX(CASE WHEN \\\"ranked\\\".\\\"rn\\\" = \\\"group_stats\\\".\\\"hi_rn\\\" THEN \\\"ranked\\\".\\\"measure_val\\\" END) AS \\\"hi_val\\\"\\n  FROM \\\"group_stats\\\"\\n  JOIN \\\"ranked\\\"\\n    ON \\\"ranked\\\".\\\"group_col\\\" = \\\"group_stats\\\".\\\"group_col\\\"\\n  GROUP BY\\n    \\\"group_stats\\\".\\\"group_col\\\",\\n    \\\"group_stats\\\".\\\"p\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"ROLE_DEPTNAME\\\",\\n  CASE\\n    WHEN \\\"lo_val\\\" IS NULL THEN NULL\\n    WHEN \\\"hi_val\\\" IS NULL THEN \\\"lo_val\\\"\\n    ELSE \\\"lo_val\\\" + (\\\"p\\\" - CAST(\\\"p\\\" AS INTEGER)) * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"ROLE_DEPTNAME\\\";\", \"columns\": [\"ROLE_DEPTNAME\", \"percentile_measure\"], \"rows\": [{\"ROLE_DEPTNAME\": \"118317\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"118409\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"118458\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"118791\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"120304\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"120347\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"120398\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"120677\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"120924\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"121710\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"124380\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"124449\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"125884\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"127491\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"131274\", \"percentile_measure\": 307024.0}, {\"ROLE_DEPTNAME\": \"118328\", \"percentile_measure\": 299559.0}, {\"ROLE_DEPTNAME\": \"117945\", \"percentile_measure\": 280788.0}, {\"ROLE_DEPTNAME\": \"118556\", \"percentile_measure\": 280788.0}, {\"ROLE_DEPTNAME\": \"118623\", \"percentile_measure\": 280788.0}, {\"ROLE_DEPTNAME\": \"118754\", \"percentile_measure\": 280788.0}, {\"ROLE_DEPTNAME\": \"119121\", \"percentile_measure\": 280788.0}, {\"ROLE_DEPTNAME\": \"119257\", \"percentile_measure\": 280788.0}, {\"ROLE_DEPTNAME\": \"120995\", \"percentile_measure\": 280788.0}, {\"ROLE_DEPTNAME\": \"118471\", \"percentile_measure\": 279482.0}, {\"ROLE_DEPTNAME\": \"118027\", \"percentile_measure\": 273308.0}, {\"ROLE_DEPTNAME\": \"118229\", \"percentile_measure\": 273308.0}, {\"ROLE_DEPTNAME\": \"119279\", \"percentile_measure\": 273308.0}, {\"ROLE_DEPTNAME\": \"123195\", \"percentile_measure\": 273308.0}, {\"ROLE_DEPTNAME\": \"119796\", \"percentile_measure\": 259173.0}, {\"ROLE_DEPTNAME\": \"125857\", \"percentile_measure\": 259173.0}, {\"ROLE_DEPTNAME\": \"135245\", \"percentile_measure\": 259173.0}, {\"ROLE_DEPTNAME\": \"118575\", \"percentile_measure\": 254567.4000000001}, {\"ROLE_DEPTNAME\": \"126745\", \"percentile_measure\": 223478.4}, {\"ROLE_DEPTNAME\": \"120685\", \"percentile_measure\": 215955.0}, {\"ROLE_DEPTNAME\": \"120270\", \"percentile_measure\": 190173.40000000014}, {\"ROLE_DEPTNAME\": \"139897\", \"percentile_measure\": 184274.0}, {\"ROLE_DEPTNAME\": \"117970\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"118066\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"118246\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"118344\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"118507\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"118599\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"118846\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"119424\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"119569\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"119791\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"122299\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"123279\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"124051\", \"percentile_measure\": 179731.0}, {\"ROLE_DEPTNAME\": \"19666\", \"percentile_measure\": 179731.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 119.8}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "c9",
+  "started_at": "2026-05-19T16:00:24.527986+00:00",
+  "ended_at": "2026-05-19T16:01:01.972577+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c9_02c33d9132bcb8e6",
+    "problem_id": "v2p_c9_5a741b3d4087b00e",
+    "dataset_id": "c9",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=ROLE_DEPTNAME, measure_col=ROLE_TITLE.",
+    "bindings": {
+      "group_col": "ROLE_DEPTNAME",
+      "measure_col": "ROLE_TITLE",
+      "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": 120006.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=10",
+      "sql_variant_index=1/2",
+      "binding_index=93"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 10,
+    "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_c/c9/sql/v2q_c9_02c33d9132bcb8e6.sql",
+  "usage_summary": {
+    "dataset_id": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_02c33d9132bcb8e6",
+    "api_calls": 0,
+    "input_tokens": 14258,
+    "cached_input_tokens": 12032,
+    "output_tokens": 2750,
+    "total_tokens": 17008,
+    "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": 37319.57,
+    "sql_execution_elapsed_ms_total": 119.8,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:01:01.850419+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": 37319.57, "started_at": "2026-05-19T16:00:24.529978+00:00", "ended_at": "2026-05-19T16:01:01.849589+00:00", "prompt_metrics": {"chars": 7314, "bytes_utf8": 7314, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 2021, "bytes_utf8": 2021, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14258, "cached_input_tokens": 12032, "output_tokens": 2750, "reasoning_output_tokens": 2064}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"ROLE_DEPTNAME\\\" AS \\\"group_col\\\",\\n    CAST(\\\"ROLE_TITLE\\\" AS REAL) AS \\\"measure_val\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"ROLE_DEPTNAME\\\"\\n      ORDER BY CAST(\\\"ROLE_TITLE\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"ROLE_DEPTNAME\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"c9\\\"\\n  WHERE \\\"ROLE_DEPTNAME\\\" IS NOT NULL\\n    AND \\\"ROLE_TITLE\\\" IS NOT NULL\\n),\\n\\\"group_stats\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    (0.9 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"p\\\",\\n    CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"lo_rn\\\",\\n    CASE\\n      WHEN (0.9 * (\\\"cnt\\\" - 1) + 1.0) = CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) THEN CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER)\\n      ELSE CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) + 1\\n    END AS \\\"hi_rn\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    \\\"group_stats\\\".\\\"group_col\\\",\\n  "}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c9_02c33d9132bcb8e6",
+  "api_calls": 0,
+  "input_tokens": 14258,
+  "cached_input_tokens": 12032,
+  "output_tokens": 2750,
+  "total_tokens": 17008,
+  "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": 37319.57,
+  "sql_execution_elapsed_ms_total": 119.8,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_02c33d9132bcb8e6/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ROLE_ROLLUP_2, condition_col=ROLE_FAMILY.
+Result preview: [{"ROLE_ROLLUP_2": "286791", "condition_rate": 1.0}, {"ROLE_ROLLUP_2": "141176", "condition_rate": 1.0}, {"ROLE_ROLLUP_2": "125715", "condition_rate": 1.0}, {"ROLE_ROLLUP_2": "125100", "condition_rate": 1.0}, {"ROLE_ROLLUP_2": "120862", "condition_rate": 1.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: c9
+-- 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_m4_group_condition_rate
+-- query_record_id: v2q_c9_04dea3b833db58f1
+-- problem_id: v2p_c9_ae27992aafed5823
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "ROLE_ROLLUP_2",
+       AVG(CASE WHEN "ROLE_FAMILY" = '290919' THEN 1 ELSE 0 END) AS condition_rate
+FROM "c9"
+GROUP BY "ROLE_ROLLUP_2"
+ORDER BY condition_rate DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/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_condition_rate\nSELECT \"ROLE_ROLLUP_2\",\n       AVG(CASE WHEN \"ROLE_FAMILY\" = '290919' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c9\"\nGROUP BY \"ROLE_ROLLUP_2\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ROLE_ROLLUP_2\\\",\\n       AVG(CASE WHEN \\\"ROLE_FAMILY\\\" = '290919' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_2\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"ROLE_ROLLUP_2\", \"condition_rate\"], \"rows\": [{\"ROLE_ROLLUP_2\": \"286791\", \"condition_rate\": 1.0}, {\"ROLE_ROLLUP_2\": \"141176\", \"condition_rate\": 1.0}, {\"ROLE_ROLLUP_2\": \"125715\", \"condition_rate\": 1.0}, {\"ROLE_ROLLUP_2\": \"125100\", \"condition_rate\": 1.0}, {\"ROLE_ROLLUP_2\": \"120862\", \"condition_rate\": 1.0}, {\"ROLE_ROLLUP_2\": \"119715\", \"condition_rate\": 1.0}, {\"ROLE_ROLLUP_2\": \"119623\", \"condition_rate\": 1.0}, {\"ROLE_ROLLUP_2\": \"131854\", \"condition_rate\": 0.9047619047619048}, {\"ROLE_ROLLUP_2\": \"151110\", \"condition_rate\": 0.8571428571428571}, {\"ROLE_ROLLUP_2\": \"130600\", \"condition_rate\": 0.8571428571428571}, {\"ROLE_ROLLUP_2\": \"119302\", \"condition_rate\": 0.8428571428571429}, {\"ROLE_ROLLUP_2\": \"138799\", \"condition_rate\": 0.7027027027027027}, {\"ROLE_ROLLUP_2\": \"118413\", \"condition_rate\": 0.6725868725868726}, {\"ROLE_ROLLUP_2\": \"118991\", \"condition_rate\": 0.6582278481012658}, {\"ROLE_ROLLUP_2\": \"119921\", \"condition_rate\": 0.6206896551724138}, {\"ROLE_ROLLUP_2\": \"119063\", \"condition_rate\": 0.6153846153846154}, {\"ROLE_ROLLUP_2\": \"118446\", \"condition_rate\": 0.5705458290422245}, {\"ROLE_ROLLUP_2\": \"118026\", \"condition_rate\": 0.5145631067961165}, {\"ROLE_ROLLUP_2\": \"118386\", \"condition_rate\": 0.5}, {\"ROLE_ROLLUP_2\": \"118359\", \"condition_rate\": 0.5}, {\"ROLE_ROLLUP_2\": \"121786\", \"condition_rate\": 0.47368421052631576}, {\"ROLE_ROLLUP_2\": \"118052\", \"condition_rate\": 0.4648648648648649}, {\"ROLE_ROLLUP_2\": \"119091\", \"condition_rate\": 0.46417445482866043}, {\"ROLE_ROLLUP_2\": \"118225\", \"condition_rate\": 0.4589713388299961}, {\"ROLE_ROLLUP_2\": \"118178\", \"condition_rate\": 0.4486486486486487}, {\"ROLE_ROLLUP_2\": \"117962\", \"condition_rate\": 0.4390555201021059}, {\"ROLE_ROLLUP_2\": \"118316\", \"condition_rate\": 0.4329004329004329}, {\"ROLE_ROLLUP_2\": \"118343\", \"condition_rate\": 0.4311787072243346}, {\"ROLE_ROLLUP_2\": \"127045\", \"condition_rate\": 0.42857142857142855}, {\"ROLE_ROLLUP_2\": \"118463\", \"condition_rate\": 0.42696629213483145}, {\"ROLE_ROLLUP_2\": \"118327\", \"condition_rate\": 0.4218099204846649}, {\"ROLE_ROLLUP_2\": \"118659\", \"condition_rate\": 0.4}, {\"ROLE_ROLLUP_2\": \"118001\", \"condition_rate\": 0.4}, {\"ROLE_ROLLUP_2\": \"118300\", \"condition_rate\": 0.3831374321880651}, {\"ROLE_ROLLUP_2\": \"118213\", \"condition_rate\": 0.36610169491525424}, {\"ROLE_ROLLUP_2\": \"117903\", \"condition_rate\": 0.28629856850715746}, {\"ROLE_ROLLUP_2\": \"120343\", \"condition_rate\": 0.22340425531914893}, {\"ROLE_ROLLUP_2\": \"120141\", \"condition_rate\": 0.20512820512820512}, {\"ROLE_ROLLUP_2\": \"120865\", \"condition_rate\": 0.13157894736842105}, {\"ROLE_ROLLUP_2\": \"126975\", \"condition_rate\": 0.12}, {\"ROLE_ROLLUP_2\": \"118596\", \"condition_rate\": 0.09285714285714286}, {\"ROLE_ROLLUP_2\": \"119597\", \"condition_rate\": 0.0502092050209205}, {\"ROLE_ROLLUP_2\": \"118888\", \"condition_rate\": 0.041916167664670656}, {\"ROLE_ROLLUP_2\": \"118041\", \"condition_rate\": 0.02766798418972332}, {\"ROLE_ROLLUP_2\": \"119135\", \"condition_rate\": 0.020134228187919462}, {\"ROLE_ROLLUP_2\": \"118291\", \"condition_rate\": 0.007575757575757576}, {\"ROLE_ROLLUP_2\": \"117969\", \"condition_rate\": 0.005037783375314861}, {\"ROLE_ROLLUP_2\": \"32137\", \"condition_rate\": 0.0}, {\"ROLE_ROLLUP_2\": \"31010\", \"condition_rate\": 0.0}, {\"ROLE_ROLLUP_2\": \"23779\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 38.79}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "c9",
+  "started_at": "2026-05-19T16:02:53.544836+00:00",
+  "ended_at": "2026-05-19T16:03:03.282059+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c9_04dea3b833db58f1",
+    "problem_id": "v2p_c9_ae27992aafed5823",
+    "dataset_id": "c9",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "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 Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ROLE_ROLLUP_2, condition_col=ROLE_FAMILY.",
+    "bindings": {
+      "group_col": "ROLE_ROLLUP_2",
+      "condition_col": "ROLE_FAMILY",
+      "condition_value": "290919",
+      "positive_value": "290919",
+      "negative_value": "118424",
+      "top_k": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 117961.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=98"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 3,
+    "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_c/c9/sql/v2q_c9_04dea3b833db58f1.sql",
+  "usage_summary": {
+    "dataset_id": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_04dea3b833db58f1",
+    "api_calls": 0,
+    "input_tokens": 14291,
+    "cached_input_tokens": 12032,
+    "output_tokens": 402,
+    "total_tokens": 14693,
+    "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": 9691.58,
+    "sql_execution_elapsed_ms_total": 38.79,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:03:03.239908+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": 9691.58, "started_at": "2026-05-19T16:02:53.546796+00:00", "ended_at": "2026-05-19T16:03:03.238408+00:00", "prompt_metrics": {"chars": 7404, "bytes_utf8": 7404, "lines": 219, "estimated_tokens": null}, "response_metrics": {"chars": 392, "bytes_utf8": 392, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14291, "cached_input_tokens": 12032, "output_tokens": 402, "reasoning_output_tokens": 284}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ROLE_ROLLUP_2\\\",\\n       AVG(CASE WHEN \\\"ROLE_FAMILY\\\" = '290919' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_2\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"ROLE_ROLLUP_2\\\" and condition_col=\\\"ROLE_FAMILY\\\", using condition_value '290919'.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c9_04dea3b833db58f1",
+  "api_calls": 0,
+  "input_tokens": 14291,
+  "cached_input_tokens": 12032,
+  "output_tokens": 402,
+  "total_tokens": 14693,
+  "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": 9691.58,
+  "sql_execution_elapsed_ms_total": 38.79,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_04dea3b833db58f1/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "c9",
+  "started_at": "2026-05-19T16:09:52.137955+00:00",
+  "ended_at": "2026-05-19T16:10:00.078002+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c9_0752c3ad7c250b10",
+    "problem_id": "v2p_c9_b5bd6613b19fc5fa",
+    "dataset_id": "c9",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=ROLE_CODE, measure_col=MGR_ID.",
+    "bindings": {
+      "group_col": "ROLE_CODE",
+      "measure_col": "MGR_ID",
+      "top_k": 12,
+      "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": 42034.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/2",
+      "binding_index=137"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "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",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0752c3ad7c250b10/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:09:54.908945+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": 2767.2, "started_at": "2026-05-19T16:09:52.141017+00:00", "ended_at": "2026-05-19T16:09:54.908241+00:00", "prompt_metrics": {"chars": 7201, "bytes_utf8": 7201, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-31fe-7c42-a25f-47427138067f\"}\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": "2026-05-19T16:10:00.077897+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": 4167.04, "started_at": "2026-05-19T16:09:55.909849+00:00", "ended_at": "2026-05-19T16:10:00.076924+00:00", "prompt_metrics": {"chars": 7201, "bytes_utf8": 7201, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-40b9-7850-8cf0-e2411593d0bd\"}\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_c/c9/artifacts/v2q_c9_07c51571425e5c0e/final_answer.txt

@@ -0,0 +1 @@
+No rows were returned for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=ROLE_DEPTNAME, measure_col=ROLE_ROLLUP_2.

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/generated_sql.sql

@@ -0,0 +1,35 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: c9
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_c9_07c51571425e5c0e
+-- problem_id: v2p_c9_01d1f4b934c4f29b
+-- realization_mode: agent
+-- source_kind: agent
+WITH "grouped" AS (
+  SELECT
+    "ROLE_DEPTNAME",
+    SUM(CAST("ROLE_ROLLUP_2" AS REAL)) AS "group_value"
+  FROM "c9"
+  WHERE "ROLE_DEPTNAME" IS NOT NULL
+    AND "ROLE_DEPTNAME" <> ''
+    AND "ROLE_ROLLUP_2" IS NOT NULL
+    AND "ROLE_ROLLUP_2" <> ''
+  GROUP BY "ROLE_DEPTNAME"
+),
+"total" AS (
+  SELECT SUM("group_value") AS "total_value"
+  FROM "grouped"
+)
+SELECT
+  g."ROLE_DEPTNAME",
+  g."group_value"
+FROM "grouped" AS g
+CROSS JOIN "total" AS t
+WHERE g."group_value" > t."total_value" * 0.1
+ORDER BY g."group_value" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT\n    \"ROLE_DEPTNAME\",\n    SUM(CAST(\"ROLE_ROLLUP_2\" AS REAL)) AS \"group_value\"\n  FROM \"c9\"\n  WHERE \"ROLE_DEPTNAME\" IS NOT NULL\n    AND \"ROLE_DEPTNAME\" <> ''\n    AND \"ROLE_ROLLUP_2\" IS NOT NULL\n    AND \"ROLE_ROLLUP_2\" <> ''\n  GROUP BY \"ROLE_DEPTNAME\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT\n  g.\"ROLE_DEPTNAME\",\n  g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"ROLE_DEPTNAME\\\",\\n    SUM(CAST(\\\"ROLE_ROLLUP_2\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"c9\\\"\\n  WHERE \\\"ROLE_DEPTNAME\\\" IS NOT NULL\\n    AND \\\"ROLE_DEPTNAME\\\" <> ''\\n    AND \\\"ROLE_ROLLUP_2\\\" IS NOT NULL\\n    AND \\\"ROLE_ROLLUP_2\\\" <> ''\\n  GROUP BY \\\"ROLE_DEPTNAME\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"ROLE_DEPTNAME\\\",\\n  g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"ROLE_DEPTNAME\", \"group_value\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 21.49}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "c9",
+  "started_at": "2026-05-19T15:48:33.545666+00:00",
+  "ended_at": "2026-05-19T15:48:48.589799+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c9_07c51571425e5c0e",
+    "problem_id": "v2p_c9_01d1f4b934c4f29b",
+    "dataset_id": "c9",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=ROLE_DEPTNAME, measure_col=ROLE_ROLLUP_2.",
+    "bindings": {
+      "group_col": "ROLE_DEPTNAME",
+      "measure_col": "ROLE_ROLLUP_2",
+      "top_k": 10,
+      "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": 118386.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/2",
+      "binding_index=75"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 4,
+    "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_c/c9/sql/v2q_c9_07c51571425e5c0e.sql",
+  "usage_summary": {
+    "dataset_id": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_07c51571425e5c0e",
+    "api_calls": 0,
+    "input_tokens": 14366,
+    "cached_input_tokens": 13696,
+    "output_tokens": 801,
+    "total_tokens": 15167,
+    "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": 15017.45,
+    "sql_execution_elapsed_ms_total": 21.49,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:48:48.566286+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": 15017.45, "started_at": "2026-05-19T15:48:33.548048+00:00", "ended_at": "2026-05-19T15:48:48.565520+00:00", "prompt_metrics": {"chars": 7698, "bytes_utf8": 7698, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 908, "bytes_utf8": 908, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14366, "cached_input_tokens": 13696, "output_tokens": 801, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n  SELECT\\n    \\\"ROLE_DEPTNAME\\\",\\n    SUM(CAST(\\\"ROLE_ROLLUP_2\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"c9\\\"\\n  WHERE \\\"ROLE_DEPTNAME\\\" IS NOT NULL\\n    AND \\\"ROLE_DEPTNAME\\\" <> ''\\n    AND \\\"ROLE_ROLLUP_2\\\" IS NOT NULL\\n    AND \\\"ROLE_ROLLUP_2\\\" <> ''\\n  GROUP BY \\\"ROLE_DEPTNAME\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"ROLE_DEPTNAME\\\",\\n  g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=ROLE_DEPTNAME and measure_col=ROLE_ROLLUP_2. Casted ROLE_ROLLUP_2 to REAL because the schema stores it as TEXT, and filtered null/empty values for a stable grouped view.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c9_07c51571425e5c0e",
+  "api_calls": 0,
+  "input_tokens": 14366,
+  "cached_input_tokens": 13696,
+  "output_tokens": 801,
+  "total_tokens": 15167,
+  "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": 15017.45,
+  "sql_execution_elapsed_ms_total": 21.49,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/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=ROLE_ROLLUP_1, measure_col=MGR_ID.
+Result preview: [{"ROLE_ROLLUP_1": "118774", "ROLE_CODE": "118639", "total_measure": 241746.0, "share_within_group": 100.0}, {"ROLE_ROLLUP_1": "119027", "ROLE_CODE": "118055", "total_measure": 40275.0, "share_within_group": 100.0}, {"ROLE_ROLLUP_1": "119343", "ROLE_CODE": "126540", "total_measure": 5054.0, "share_within_group": 100.0}, {"ROLE_ROLLUP_1": "120354", "ROLE_CODE": "119194", "total_measure": 57580.0, "share_within_group": 100.0}, {"ROLE_ROLLUP_1": "121411", "ROLE_CODE": "117880", "total_measure": 102234.0, "share_within_group": 100.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: c9
+-- 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_c9_095c9c6645a92420
+-- problem_id: v2p_c9_9e699f6cb2610873
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "ROLE_ROLLUP_1",
+  "ROLE_CODE",
+  SUM(CAST("MGR_ID" AS REAL)) AS total_measure,
+  SUM(CAST("MGR_ID" AS REAL)) * 100.0 / SUM(SUM(CAST("MGR_ID" AS REAL))) OVER (PARTITION BY "ROLE_ROLLUP_1") AS share_within_group
+FROM "c9"
+GROUP BY "ROLE_ROLLUP_1", "ROLE_CODE"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/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  \"ROLE_ROLLUP_1\",\n  \"ROLE_CODE\",\n  SUM(CAST(\"MGR_ID\" AS REAL)) AS total_measure,\n  SUM(CAST(\"MGR_ID\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"MGR_ID\" AS REAL))) OVER (PARTITION BY \"ROLE_ROLLUP_1\") AS share_within_group\nFROM \"c9\"\nGROUP BY \"ROLE_ROLLUP_1\", \"ROLE_CODE\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ROLE_ROLLUP_1\\\",\\n  \\\"ROLE_CODE\\\",\\n  SUM(CAST(\\\"MGR_ID\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"MGR_ID\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"MGR_ID\\\" AS REAL))) OVER (PARTITION BY \\\"ROLE_ROLLUP_1\\\") AS share_within_group\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_1\\\", \\\"ROLE_CODE\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"ROLE_ROLLUP_1\", \"ROLE_CODE\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ROLE_ROLLUP_1\": \"118774\", \"ROLE_CODE\": \"118639\", \"total_measure\": 241746.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"119027\", \"ROLE_CODE\": \"118055\", \"total_measure\": 40275.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"119343\", \"ROLE_CODE\": \"126540\", \"total_measure\": 5054.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"120354\", \"ROLE_CODE\": \"119194\", \"total_measure\": 57580.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"121411\", \"ROLE_CODE\": \"117880\", \"total_measure\": 102234.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"133430\", \"ROLE_CODE\": \"119589\", \"total_measure\": 57715.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"141221\", \"ROLE_CODE\": \"208567\", \"total_measure\": 23263.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"143008\", \"ROLE_CODE\": \"120303\", \"total_measure\": 55777.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"147236\", \"ROLE_CODE\": \"118196\", \"total_measure\": 100922.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"203209\", \"ROLE_CODE\": \"117973\", \"total_measure\": 25937.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"209434\", \"ROLE_CODE\": \"136061\", \"total_measure\": 241233.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"311178\", \"ROLE_CODE\": \"136061\", \"total_measure\": 46460.0, \"share_within_group\": 100.0}, {\"ROLE_ROLLUP_1\": \"130684\", \"ROLE_CODE\": \"121374\", \"total_measure\": 571040.0, \"share_within_group\": 99.61378376775392}, {\"ROLE_ROLLUP_1\": \"183723\", \"ROLE_CODE\": \"118454\", \"total_measure\": 280972.0, \"share_within_group\": 97.20667298630667}, {\"ROLE_ROLLUP_1\": \"216705\", \"ROLE_CODE\": \"119851\", \"total_measure\": 232862.0, \"share_within_group\": 96.15959564258637}, {\"ROLE_ROLLUP_1\": \"127616\", \"ROLE_CODE\": \"117973\", \"total_measure\": 71444.0, \"share_within_group\": 92.74466786961432}, {\"ROLE_ROLLUP_1\": \"118441\", \"ROLE_CODE\": \"119194\", \"total_measure\": 375641.0, \"share_within_group\": 89.7164543417929}, {\"ROLE_ROLLUP_1\": \"120268\", \"ROLE_CODE\": \"118373\", \"total_measure\": 128628.0, \"share_within_group\": 88.44545904615215}, {\"ROLE_ROLLUP_1\": \"119370\", \"ROLE_CODE\": \"118705\", \"total_measure\": 156700.0, \"share_within_group\": 88.03271873349738}, {\"ROLE_ROLLUP_1\": \"118550\", \"ROLE_CODE\": \"118055\", \"total_measure\": 995548.0, \"share_within_group\": 86.9147072150134}, {\"ROLE_ROLLUP_1\": \"4292\", \"ROLE_CODE\": \"130062\", \"total_measure\": 151386.0, \"share_within_group\": 83.10058625913972}, {\"ROLE_ROLLUP_1\": \"119178\", \"ROLE_CODE\": \"117898\", \"total_measure\": 459441.0, \"share_within_group\": 81.12831397422632}, {\"ROLE_ROLLUP_1\": \"120883\", \"ROLE_CODE\": \"130062\", \"total_measure\": 136947.0, \"share_within_group\": 80.4912453934724}, {\"ROLE_ROLLUP_1\": \"126918\", \"ROLE_CODE\": \"118046\", \"total_measure\": 1852190.0, \"share_within_group\": 77.09732538851692}, {\"ROLE_ROLLUP_1\": \"130570\", \"ROLE_CODE\": \"118046\", \"total_measure\": 288607.0, \"share_within_group\": 76.29958625794768}, {\"ROLE_ROLLUP_1\": \"118079\", \"ROLE_CODE\": \"117880\", \"total_measure\": 11091502.0, \"share_within_group\": 72.24122304958014}, {\"ROLE_ROLLUP_1\": \"132839\", \"ROLE_CODE\": \"118055\", \"total_measure\": 423056.0, \"share_within_group\": 68.32829418301161}, {\"ROLE_ROLLUP_1\": \"118126\", \"ROLE_CODE\": \"117898\", \"total_measure\": 1817380.0, \"share_within_group\": 68.1939108854049}, {\"ROLE_ROLLUP_1\": \"120810\", \"ROLE_CODE\": \"119222\", \"total_measure\": 1092468.0, \"share_within_group\": 67.97133983056753}, {\"ROLE_ROLLUP_1\": \"118023\", \"ROLE_CODE\": \"117888\", \"total_measure\": 480229.0, \"share_within_group\": 66.82218607505284}, {\"ROLE_ROLLUP_1\": \"118670\", \"ROLE_CODE\": \"117898\", \"total_measure\": 372388.0, \"share_within_group\": 66.36489034470222}, {\"ROLE_ROLLUP_1\": \"124034\", \"ROLE_CODE\": \"119082\", \"total_measure\": 952876.0, \"share_within_group\": 65.69370340776142}, {\"ROLE_ROLLUP_1\": \"117876\", \"ROLE_CODE\": \"117880\", \"total_measure\": 4289038.0, \"share_within_group\": 62.58032030509861}, {\"ROLE_ROLLUP_1\": \"125714\", \"ROLE_CODE\": \"117908\", \"total_measure\": 2072877.0, \"share_within_group\": 60.952252411991104}, {\"ROLE_ROLLUP_1\": \"118200\", \"ROLE_CODE\": \"117888\", \"total_measure\": 540872.0, \"share_within_group\": 60.24737343943539}, {\"ROLE_ROLLUP_1\": \"118976\", \"ROLE_CODE\": \"118196\", \"total_measure\": 375839.0, \"share_within_group\": 57.22614467058793}, {\"ROLE_ROLLUP_1\": \"192441\", \"ROLE_CODE\": \"118322\", \"total_measure\": 17961.0, \"share_within_group\": 56.09832276603055}, {\"ROLE_ROLLUP_1\": \"118181\", \"ROLE_CODE\": \"117888\", \"total_measure\": 1425081.0, \"share_within_group\": 53.45368042367417}, {\"ROLE_ROLLUP_1\": \"117893\", \"ROLE_CODE\": \"117898\", \"total_measure\": 2585594.0, \"share_within_group\": 53.25415220020938}, {\"ROLE_ROLLUP_1\": \"121518\", \"ROLE_CODE\": \"118196\", \"total_measure\": 134955.0, \"share_within_group\": 52.51902990302143}, {\"ROLE_ROLLUP_1\": \"122532\", \"ROLE_CODE\": \"119082\", \"total_measure\": 1179950.0, \"share_within_group\": 52.43993817158186}, {\"ROLE_ROLLUP_1\": \"118602\", \"ROLE_CODE\": \"118570\", \"total_measure\": 3162937.0, \"share_within_group\": 51.80418251355362}, {\"ROLE_ROLLUP_1\": \"121005\", \"ROLE_CODE\": \"119082\", \"total_measure\": 1014565.0, \"share_within_group\": 51.459176137862194}, {\"ROLE_ROLLUP_1\": \"119740\", \"ROLE_CODE\": \"134069\", \"total_measure\": 56016.0, \"share_within_group\": 51.28918839730442}, {\"ROLE_ROLLUP_1\": \"119828\", \"ROLE_CODE\": \"117898\", \"total_measure\": 98588.0, \"share_within_group\": 51.11179084126976}, {\"ROLE_ROLLUP_1\": \"126974\", \"ROLE_CODE\": \"118749\", \"total_measure\": 925500.0, \"share_within_group\": 51.100440109787264}, {\"ROLE_ROLLUP_1\": \"131853\", \"ROLE_CODE\": \"117908\", \"total_measure\": 181154.0, \"share_within_group\": 51.05288076745313}, {\"ROLE_ROLLUP_1\": \"118114\", \"ROLE_CODE\": \"117880\", \"total_measure\": 504698.0, \"share_within_group\": 50.62750467706907}, {\"ROLE_ROLLUP_1\": \"118003\", \"ROLE_CODE\": \"117880\", \"total_measure\": 1080534.0, \"share_within_group\": 50.50989785214645}, {\"ROLE_ROLLUP_1\": \"119615\", \"ROLE_CODE\": \"118570\", \"total_measure\": 73974.0, \"share_within_group\": 50.496266058678174}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 54.13}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "c9",
+  "started_at": "2026-05-19T15:34:32.974382+00:00",
+  "ended_at": "2026-05-19T15:34:47.538153+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c9_095c9c6645a92420",
+    "problem_id": "v2p_c9_9e699f6cb2610873",
+    "dataset_id": "c9",
+    "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=ROLE_ROLLUP_1, measure_col=MGR_ID.",
+    "bindings": {
+      "group_col": "ROLE_ROLLUP_1",
+      "measure_col": "MGR_ID",
+      "item_col": "ROLE_CODE",
+      "top_k": 10,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 42034.0,
+      "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=2",
+      "sql_variant_index=1/2",
+      "binding_index=25"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 2,
+    "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_c/c9/sql/v2q_c9_095c9c6645a92420.sql",
+  "usage_summary": {
+    "dataset_id": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_095c9c6645a92420",
+    "api_calls": 0,
+    "input_tokens": 14343,
+    "cached_input_tokens": 12032,
+    "output_tokens": 708,
+    "total_tokens": 15051,
+    "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": 14502.77,
+    "sql_execution_elapsed_ms_total": 54.13,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:34:47.481506+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": 14502.77, "started_at": "2026-05-19T15:34:32.977089+00:00", "ended_at": "2026-05-19T15:34:47.479893+00:00", "prompt_metrics": {"chars": 7534, "bytes_utf8": 7534, "lines": 218, "estimated_tokens": null}, "response_metrics": {"chars": 614, "bytes_utf8": 614, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14343, "cached_input_tokens": 12032, "output_tokens": 708, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ROLE_ROLLUP_1\\\",\\n  \\\"ROLE_CODE\\\",\\n  SUM(CAST(\\\"MGR_ID\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"MGR_ID\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"MGR_ID\\\" AS REAL))) OVER (PARTITION BY \\\"ROLE_ROLLUP_1\\\") AS share_within_group\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_1\\\", \\\"ROLE_CODE\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the requested Within-Group Share of Total template with group_col=\\\"ROLE_ROLLUP_1\\\", item_col=\\\"ROLE_CODE\\\", and measure_col=\\\"MGR_ID\\\". CAST to REAL is applied because the schema stores all fields as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c9_095c9c6645a92420",
+  "api_calls": 0,
+  "input_tokens": 14343,
+  "cached_input_tokens": 12032,
+  "output_tokens": 708,
+  "total_tokens": 15051,
+  "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": 14502.77,
+  "sql_execution_elapsed_ms_total": 54.13,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_095c9c6645a92420/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0a09a5d74419b87d/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7127, "bytes_utf8": 7127, "lines": 216, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 426, "bytes_utf8": 426, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14225, "cached_input_tokens": 12032, "output_tokens": 518, "reasoning_output_tokens": 396}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0a09a5d74419b87d/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_0a09a5d74419b87d",
+    "api_calls": 0,
+    "input_tokens": 14225,
+    "cached_input_tokens": 12032,
+    "output_tokens": 518,
+    "total_tokens": 14743,
+    "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": 12174.8,
+    "sql_execution_elapsed_ms_total": 39.73,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0a09a5d74419b87d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0a09a5d74419b87d/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:28:36.813165+00:00",
+  "ended_at": "2026-05-19T15:28:48.988040+00:00",
+  "elapsed_ms": 12174.8,
+  "prompt_metrics": {
+    "chars": 7127,
+    "bytes_utf8": 7127,
+    "lines": 216,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 772,
+    "bytes_utf8": 772,
+    "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": 426,
+      "bytes_utf8": 426,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14225,
+      "cached_input_tokens": 12032,
+      "output_tokens": 518,
+      "reasoning_output_tokens": 396
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0a09a5d74419b87d/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,216 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ROLE_ROLLUP_1, measure_col=MGR_ID.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "ROLE_ROLLUP_1",
+    "measure_col": "MGR_ID",
+    "top_k": 11,
+    "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": 42034.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0a09a5d74419b87d/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-6cc0-7cc0-b46a-20b4eb8c3cc3"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ROLE_ROLLUP_1\\\", SUM(CAST(\\\"MGR_ID\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col bound to ROLE_ROLLUP_1 and measure_col bound to MGR_ID. CAST is applied because the schema stores MGR_ID as TEXT, and SQLite SUM should operate on numeric values.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14225,"cached_input_tokens":12032,"output_tokens":518,"reasoning_output_tokens":396}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0a09a5d74419b87d/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"ROLE_ROLLUP_1\", SUM(CAST(\"MGR_ID\" AS NUMERIC)) AS total_measure\nFROM \"c9\"\nGROUP BY \"ROLE_ROLLUP_1\"\nORDER BY total_measure DESC;","notes":"Used the provided Grouped Numeric Sum template with group_col bound to ROLE_ROLLUP_1 and measure_col bound to MGR_ID. CAST is applied because the schema stores MGR_ID as TEXT, and SQLite SUM should operate on numeric values."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b005fc25af43c8b/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "c9",
+  "started_at": "2026-05-19T16:07:51.447814+00:00",
+  "ended_at": "2026-05-19T16:07:58.304930+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c9_0b005fc25af43c8b",
+    "problem_id": "v2p_c9_e0588061b0088514",
+    "dataset_id": "c9",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ROLE_CODE.",
+    "bindings": {
+      "group_col": "ROLE_CODE",
+      "top_k": 10,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 120006.0,
+      "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=1/2",
+      "binding_index=125"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b005fc25af43c8b/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:07:54.110479+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": 2660.2, "started_at": "2026-05-19T16:07:51.449472+00:00", "ended_at": "2026-05-19T16:07:54.109698+00:00", "prompt_metrics": {"chars": 7114, "bytes_utf8": 7114, "lines": 214, "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\":\"019e40fe-5aa6-7832-90dd-cd53e2856bf8\"}\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": "2026-05-19T16:07:58.304846+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": 3192.59, "started_at": "2026-05-19T16:07:55.111555+00:00", "ended_at": "2026-05-19T16:07:58.304173+00:00", "prompt_metrics": {"chars": 7114, "bytes_utf8": 7114, "lines": 214, "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\":\"019e40fe-68e3-76e1-b4d5-a0bdde8cde5d\"}\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_c/c9/artifacts/v2q_c9_0b62fad73e518356/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=ROLE_CODE, measure_col=ROLE_TITLE.
+Result preview: [{"ROLE_CODE": "118322", "total_measure": 550074329}, {"ROLE_CODE": "117908", "total_measure": 422453615}, {"ROLE_CODE": "118786", "total_measure": 210485248}, {"ROLE_CODE": "117880", "total_measure": 148056024}, {"ROLE_CODE": "118332", "total_measure": 143380208}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: c9
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_c9_0b62fad73e518356
+-- problem_id: v2p_c9_857432acc46413e2
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "ROLE_CODE", SUM(CAST("ROLE_TITLE" AS NUMERIC)) AS "total_measure"
+FROM "c9"
+GROUP BY "ROLE_CODE"
+ORDER BY "total_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/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 \"ROLE_CODE\", SUM(CAST(\"ROLE_TITLE\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c9\"\nGROUP BY \"ROLE_CODE\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ROLE_CODE\\\", SUM(CAST(\\\"ROLE_TITLE\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_CODE\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"ROLE_CODE\", \"total_measure\"], \"rows\": [{\"ROLE_CODE\": \"118322\", \"total_measure\": 550074329}, {\"ROLE_CODE\": \"117908\", \"total_measure\": 422453615}, {\"ROLE_CODE\": \"118786\", \"total_measure\": 210485248}, {\"ROLE_CODE\": \"117880\", \"total_measure\": 148056024}, {\"ROLE_CODE\": \"118332\", \"total_measure\": 143380208}, {\"ROLE_CODE\": \"118570\", \"total_measure\": 123666424}, {\"ROLE_CODE\": \"119082\", \"total_measure\": 110630472}, {\"ROLE_CODE\": \"117888\", \"total_measure\": 95015310}, {\"ROLE_CODE\": \"118055\", \"total_measure\": 91373796}, {\"ROLE_CODE\": \"118687\", \"total_measure\": 70854945}, {\"ROLE_CODE\": \"117973\", \"total_measure\": 69016704}, {\"ROLE_CODE\": \"118779\", \"total_measure\": 67227782}, {\"ROLE_CODE\": \"118454\", \"total_measure\": 61712971}, {\"ROLE_CODE\": \"120346\", \"total_measure\": 56922712}, {\"ROLE_CODE\": \"118425\", \"total_measure\": 44526672}, {\"ROLE_CODE\": \"118892\", \"total_measure\": 41254830}, {\"ROLE_CODE\": \"118639\", \"total_measure\": 40810784}, {\"ROLE_CODE\": \"118399\", \"total_measure\": 40491432}, {\"ROLE_CODE\": \"119851\", \"total_measure\": 40389113}, {\"ROLE_CODE\": \"118836\", \"total_measure\": 39809390}, {\"ROLE_CODE\": \"117948\", \"total_measure\": 38804234}, {\"ROLE_CODE\": \"120774\", \"total_measure\": 34903397}, {\"ROLE_CODE\": \"118644\", \"total_measure\": 34168608}, {\"ROLE_CODE\": \"118261\", \"total_measure\": 32402966}, {\"ROLE_CODE\": \"118943\", \"total_measure\": 29804895}, {\"ROLE_CODE\": \"117900\", \"total_measure\": 28295760}, {\"ROLE_CODE\": \"118046\", \"total_measure\": 28094234}, {\"ROLE_CODE\": \"119096\", \"total_measure\": 26676832}, {\"ROLE_CODE\": \"120692\", \"total_measure\": 26189730}, {\"ROLE_CODE\": \"120008\", \"total_measure\": 25921296}, {\"ROLE_CODE\": \"118749\", \"total_measure\": 25886846}, {\"ROLE_CODE\": \"128231\", \"total_measure\": 25774230}, {\"ROLE_CODE\": \"120649\", \"total_measure\": 25456517}, {\"ROLE_CODE\": \"119435\", \"total_measure\": 23767167}, {\"ROLE_CODE\": \"118997\", \"total_measure\": 23680005}, {\"ROLE_CODE\": \"119964\", \"total_measure\": 23632514}, {\"ROLE_CODE\": \"119194\", \"total_measure\": 23361632}, {\"ROLE_CODE\": \"118279\", \"total_measure\": 23182488}, {\"ROLE_CODE\": \"118319\", \"total_measure\": 21888830}, {\"ROLE_CODE\": \"118296\", \"total_measure\": 21292740}, {\"ROLE_CODE\": \"119929\", \"total_measure\": 21107328}, {\"ROLE_CODE\": \"120099\", \"total_measure\": 21016975}, {\"ROLE_CODE\": \"118525\", \"total_measure\": 20741525}, {\"ROLE_CODE\": \"118828\", \"total_measure\": 20438072}, {\"ROLE_CODE\": \"117898\", \"total_measure\": 19452840}, {\"ROLE_CODE\": \"118276\", \"total_measure\": 19396936}, {\"ROLE_CODE\": \"120499\", \"total_measure\": 19279520}, {\"ROLE_CODE\": \"123068\", \"total_measure\": 18952318}, {\"ROLE_CODE\": \"118914\", \"total_measure\": 18907008}, {\"ROLE_CODE\": \"124888\", \"total_measure\": 18108470}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 18.55}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "c9",
+  "started_at": "2026-05-19T15:30:03.001212+00:00",
+  "ended_at": "2026-05-19T15:30:20.283337+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c9_0b62fad73e518356",
+    "problem_id": "v2p_c9_857432acc46413e2",
+    "dataset_id": "c9",
+    "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_conditional_contrast",
+    "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=ROLE_CODE, measure_col=ROLE_TITLE.",
+    "bindings": {
+      "group_col": "ROLE_CODE",
+      "measure_col": "ROLE_TITLE",
+      "top_k": 10,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 120006.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/2",
+      "binding_index=5"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "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_c/c9/sql/v2q_c9_0b62fad73e518356.sql",
+  "usage_summary": {
+    "dataset_id": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_0b62fad73e518356",
+    "api_calls": 0,
+    "input_tokens": 14216,
+    "cached_input_tokens": 12288,
+    "output_tokens": 341,
+    "total_tokens": 14557,
+    "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": 17257.55,
+    "sql_execution_elapsed_ms_total": 18.55,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:30:20.262958+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": 17257.55, "started_at": "2026-05-19T15:30:03.004626+00:00", "ended_at": "2026-05-19T15:30:20.262203+00:00", "prompt_metrics": {"chars": 7128, "bytes_utf8": 7128, "lines": 216, "estimated_tokens": null}, "response_metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14216, "cached_input_tokens": 12288, "output_tokens": 341, "reasoning_output_tokens": 238}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ROLE_CODE\\\", SUM(CAST(\\\"ROLE_TITLE\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_CODE\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"ROLE_CODE\\\" and measure_col=\\\"ROLE_TITLE\\\". CAST was added because the schema stores these fields as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c9",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c9_0b62fad73e518356",
+  "api_calls": 0,
+  "input_tokens": 14216,
+  "cached_input_tokens": 12288,
+  "output_tokens": 341,
+  "total_tokens": 14557,
+  "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": 17257.55,
+  "sql_execution_elapsed_ms_total": 18.55,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0c0d324dcd91061f/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ACTION, condition_col=ROLE_FAMILY.
+Result preview: [{"ACTION": "1", "condition_rate": 0.33515807203938847}, {"ACTION": "0", "condition_rate": 0.33368476541908276}]

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0c0d324dcd91061f/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: c9
+-- 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_m4_group_condition_rate
+-- query_record_id: v2q_c9_0c0d324dcd91061f
+-- problem_id: v2p_c9_cf51cafc3a68ac79
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "ACTION",
+       AVG(CASE WHEN "ROLE_FAMILY" = '290919' THEN 1 ELSE 0 END) AS condition_rate
+FROM "c9"
+GROUP BY "ACTION"
+ORDER BY condition_rate DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0c0d324dcd91061f/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_condition_rate\nSELECT \"ACTION\",\n       AVG(CASE WHEN \"ROLE_FAMILY\" = '290919' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c9\"\nGROUP BY \"ACTION\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"ACTION\\\",\\n       AVG(CASE WHEN \\\"ROLE_FAMILY\\\" = '290919' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ACTION\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"ACTION\", \"condition_rate\"], \"rows\": [{\"ACTION\": \"1\", \"condition_rate\": 0.33515807203938847}, {\"ACTION\": \"0\", \"condition_rate\": 0.33368476541908276}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.15}"}