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Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_31605fef793dd868/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=duration, measure_col=release_year.
+Result preview: [{"duration": "1 Season", "percentile_measure": 2021.0}, {"duration": "102 min", "percentile_measure": 2021.0}, {"duration": "107 min", "percentile_measure": 2021.0}, {"duration": "110 min", "percentile_measure": 2021.0}, {"duration": "111 min", "percentile_measure": 2021.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_31605fef793dd868/generated_sql.sql

@@ -0,0 +1,68 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_c17_31605fef793dd868
+-- problem_id: v2p_c17_97103c86c1be5b94
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "duration",
+    CAST("release_year" AS REAL) AS "measure"
+  FROM "c17"
+  WHERE "duration" IS NOT NULL
+    AND TRIM("duration") <> ''
+    AND "release_year" IS NOT NULL
+    AND TRIM("release_year") <> ''
+),
+"ordered" AS (
+  SELECT
+    "duration",
+    "measure",
+    ROW_NUMBER() OVER (PARTITION BY "duration" ORDER BY "measure") AS "rn",
+    COUNT(*) OVER (PARTITION BY "duration") AS "n"
+  FROM "base"
+),
+"positions" AS (
+  SELECT DISTINCT
+    "duration",
+    (100 + 95 * ("n" - 1)) AS "pos_num",
+    (100 + 95 * ("n" - 1)) / 100 AS "frn",
+    CASE
+      WHEN (100 + 95 * ("n" - 1)) % 100 = 0 THEN (100 + 95 * ("n" - 1)) / 100
+      ELSE ((100 + 95 * ("n" - 1)) / 100) + 1
+    END AS "crn"
+  FROM "ordered"
+),
+"picked" AS (
+  SELECT
+    o."duration",
+    p."pos_num",
+    p."frn",
+    p."crn",
+    MAX(CASE WHEN o."rn" = p."frn" THEN o."measure" END) AS "lower_value",
+    MAX(CASE WHEN o."rn" = p."crn" THEN o."measure" END) AS "upper_value"
+  FROM "ordered" AS o
+  JOIN "positions" AS p
+    ON o."duration" = p."duration"
+  GROUP BY
+    o."duration",
+    p."pos_num",
+    p."frn",
+    p."crn"
+)
+SELECT
+  "duration",
+  CASE
+    WHEN "frn" = "crn" THEN "lower_value"
+    ELSE ((CAST("crn" AS REAL) - ("pos_num" / 100.0)) * "lower_value")
+       + ((("pos_num" / 100.0) - CAST("frn" AS REAL)) * "upper_value")
+  END AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_31605fef793dd868/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 \"base\" AS (\n  SELECT\n    \"duration\",\n    CAST(\"release_year\" AS REAL) AS \"measure\"\n  FROM \"c17\"\n  WHERE \"duration\" IS NOT NULL\n    AND TRIM(\"duration\") <> ''\n    AND \"release_year\" IS NOT NULL\n    AND TRIM(\"release_year\") <> ''\n),\n\"ordered\" AS (\n  SELECT\n    \"duration\",\n    \"measure\",\n    ROW_NUMBER() OVER (PARTITION BY \"duration\" ORDER BY \"measure\") AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"duration\") AS \"n\"\n  FROM \"base\"\n),\n\"positions\" AS (\n  SELECT DISTINCT\n    \"duration\",\n    (100 + 95 * (\"n\" - 1)) AS \"pos_num\",\n    (100 + 95 * (\"n\" - 1)) / 100 AS \"frn\",\n    CASE\n      WHEN (100 + 95 * (\"n\" - 1)) % 100 = 0 THEN (100 + 95 * (\"n\" - 1)) / 100\n      ELSE ((100 + 95 * (\"n\" - 1)) / 100) + 1\n    END AS \"crn\"\n  FROM \"ordered\"\n),\n\"picked\" AS (\n  SELECT\n    o.\"duration\",\n    p.\"pos_num\",\n    p.\"frn\",\n    p.\"crn\",\n    MAX(CASE WHEN o.\"rn\" = p.\"frn\" THEN o.\"measure\" END) AS \"lower_value\",\n    MAX(CASE WHEN o.\"rn\" = p.\"crn\" THEN o.\"measure\" END) AS \"upper_value\"\n  FROM \"ordered\" AS o\n  JOIN \"positions\" AS p\n    ON o.\"duration\" = p.\"duration\"\n  GROUP BY\n    o.\"duration\",\n    p.\"pos_num\",\n    p.\"frn\",\n    p.\"crn\"\n)\nSELECT\n  \"duration\",\n  CASE\n    WHEN \"frn\" = \"crn\" THEN \"lower_value\"\n    ELSE ((CAST(\"crn\" AS REAL) - (\"pos_num\" / 100.0)) * \"lower_value\")\n       + (((\"pos_num\" / 100.0) - CAST(\"frn\" AS REAL)) * \"upper_value\")\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"duration\\\",\\n    CAST(\\\"release_year\\\" AS REAL) AS \\\"measure\\\"\\n  FROM \\\"c17\\\"\\n  WHERE \\\"duration\\\" IS NOT NULL\\n    AND TRIM(\\\"duration\\\") <> ''\\n    AND \\\"release_year\\\" IS NOT NULL\\n    AND TRIM(\\\"release_year\\\") <> ''\\n),\\n\\\"ordered\\\" AS (\\n  SELECT\\n    \\\"duration\\\",\\n    \\\"measure\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"duration\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"duration\\\") AS \\\"n\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n  SELECT DISTINCT\\n    \\\"duration\\\",\\n    (100 + 95 * (\\\"n\\\" - 1)) AS \\\"pos_num\\\",\\n    (100 + 95 * (\\\"n\\\" - 1)) / 100 AS \\\"frn\\\",\\n    CASE\\n      WHEN (100 + 95 * (\\\"n\\\" - 1)) % 100 = 0 THEN (100 + 95 * (\\\"n\\\" - 1)) / 100\\n      ELSE ((100 + 95 * (\\\"n\\\" - 1)) / 100) + 1\\n    END AS \\\"crn\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    o.\\\"duration\\\",\\n    p.\\\"pos_num\\\",\\n    p.\\\"frn\\\",\\n    p.\\\"crn\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"frn\\\" THEN o.\\\"measure\\\" END) AS \\\"lower_value\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"crn\\\" THEN o.\\\"measure\\\" END) AS \\\"upper_value\\\"\\n  FROM \\\"ordered\\\" AS o\\n  JOIN \\\"positions\\\" AS p\\n    ON o.\\\"duration\\\" = p.\\\"duration\\\"\\n  GROUP BY\\n    o.\\\"duration\\\",\\n    p.\\\"pos_num\\\",\\n    p.\\\"frn\\\",\\n    p.\\\"crn\\\"\\n)\\nSELECT\\n  \\\"duration\\\",\\n  CASE\\n    WHEN \\\"frn\\\" = \\\"crn\\\" THEN \\\"lower_value\\\"\\n    ELSE ((CAST(\\\"crn\\\" AS REAL) - (\\\"pos_num\\\" / 100.0)) * \\\"lower_value\\\")\\n       + (((\\\"pos_num\\\" / 100.0) - CAST(\\\"frn\\\" AS REAL)) * \\\"upper_value\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"duration\", \"percentile_measure\"], \"rows\": [{\"duration\": \"1 Season\", \"percentile_measure\": 2021.0}, {\"duration\": \"102 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"107 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"110 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"111 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"113 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"114 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"115 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"116 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"118 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"122 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"131 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"138 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"2 Seasons\", \"percentile_measure\": 2021.0}, {\"duration\": \"273 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"3 Seasons\", \"percentile_measure\": 2021.0}, {\"duration\": \"32 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"35 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"36 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"39 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"4 Seasons\", \"percentile_measure\": 2021.0}, {\"duration\": \"5 Seasons\", \"percentile_measure\": 2021.0}, {\"duration\": \"6 Seasons\", \"percentile_measure\": 2021.0}, {\"duration\": \"60 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"70 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"92 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"97 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"98 min\", \"percentile_measure\": 2021.0}, {\"duration\": \"13 min\", \"percentile_measure\": 2020.9}, {\"duration\": \"143 min\", \"percentile_measure\": 2020.9}, {\"duration\": \"21 min\", \"percentile_measure\": 2020.9}, {\"duration\": \"7 Seasons\", \"percentile_measure\": 2020.9}, {\"duration\": \"86 min\", \"percentile_measure\": 2020.9}, {\"duration\": \"140 min\", \"percentile_measure\": 2020.8000000000002}, {\"duration\": \"58 min\", \"percentile_measure\": 2020.8000000000002}, {\"duration\": \"14 min\", \"percentile_measure\": 2020.8}, {\"duration\": \"34 min\", \"percentile_measure\": 2020.8}, {\"duration\": \"33 min\", \"percentile_measure\": 2020.75}, {\"duration\": \"48 min\", \"percentile_measure\": 2020.65}, {\"duration\": \"37 min\", \"percentile_measure\": 2020.6000000000001}, {\"duration\": \"42 min\", \"percentile_measure\": 2020.6}, {\"duration\": \"9 Seasons\", \"percentile_measure\": 2020.6}, {\"duration\": \"73 min\", \"percentile_measure\": 2020.5500000000002}, {\"duration\": \"106 min\", \"percentile_measure\": 2020.5}, {\"duration\": \"25 min\", \"percentile_measure\": 2020.5}, {\"duration\": \"47 min\", \"percentile_measure\": 2020.5}, {\"duration\": \"61 min\", \"percentile_measure\": 2020.5}, {\"duration\": \"90 min\", \"percentile_measure\": 2020.45}, {\"duration\": \"23 min\", \"percentile_measure\": 2020.4}, {\"duration\": \"112 min\", \"percentile_measure\": 2020.35}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 34.63}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_31605fef793dd868/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:49:49.384122+00:00",
+  "ended_at": "2026-05-19T15:50:41.099185+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_31605fef793dd868",
+    "problem_id": "v2p_c17_97103c86c1be5b94",
+    "dataset_id": "c17",
+    "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": "focused_target_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 focused_target_view. Focus on group_col=duration, measure_col=release_year.",
+    "bindings": {
+      "group_col": "duration",
+      "measure_col": "release_year",
+      "top_k": 17,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 2018.0,
+      "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=4",
+      "sql_variant_index=2/2",
+      "binding_index=87"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_31605fef793dd868.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_31605fef793dd868",
+    "api_calls": 0,
+    "input_tokens": 14683,
+    "cached_input_tokens": 13696,
+    "output_tokens": 3356,
+    "total_tokens": 18039,
+    "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": 51674.16,
+    "sql_execution_elapsed_ms_total": 34.63,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_31605fef793dd868/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_31605fef793dd868/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:50:41.061873+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": 51674.16, "started_at": "2026-05-19T15:49:49.386787+00:00", "ended_at": "2026-05-19T15:50:41.060976+00:00", "prompt_metrics": {"chars": 9359, "bytes_utf8": 9361, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 1854, "bytes_utf8": 1854, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14683, "cached_input_tokens": 13696, "output_tokens": 3356, "reasoning_output_tokens": 2737}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"duration\\\",\\n    CAST(\\\"release_year\\\" AS REAL) AS \\\"measure\\\"\\n  FROM \\\"c17\\\"\\n  WHERE \\\"duration\\\" IS NOT NULL\\n    AND TRIM(\\\"duration\\\") <> ''\\n    AND \\\"release_year\\\" IS NOT NULL\\n    AND TRIM(\\\"release_year\\\") <> ''\\n),\\n\\\"ordered\\\" AS (\\n  SELECT\\n    \\\"duration\\\",\\n    \\\"measure\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"duration\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"duration\\\") AS \\\"n\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n  SELECT DISTINCT\\n    \\\"duration\\\",\\n    (100 + 95 * (\\\"n\\\" - 1)) AS \\\"pos_num\\\",\\n    (100 + 95 * (\\\"n\\\" - 1)) / 100 AS \\\"frn\\\",\\n    CASE\\n      WHEN (100 + 95 * (\\\"n\\\" - 1)) % 100 = 0 THEN (100 + 95 * (\\\"n\\\" - 1)) / 100\\n      ELSE ((100 + 95 * (\\\"n\\\" - 1)) / 100) + 1\\n    END AS \\\"crn\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    o.\\\"duration\\\",\\n    p.\\\"pos_num\\\",\\n    p.\\\"frn\\\",\\n    p.\\\"crn\\\",\\n    MAX(CASE WHEN o"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_31605fef793dd868/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_31605fef793dd868",
+  "api_calls": 0,
+  "input_tokens": 14683,
+  "cached_input_tokens": 13696,
+  "output_tokens": 3356,
+  "total_tokens": 18039,
+  "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": 51674.16,
+  "sql_execution_elapsed_ms_total": 34.63,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_31605fef793dd868/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_56eddba9f10c4f84/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=rating.
+Result preview: [{"rating": "66 min", "support": 1}, {"rating": "74 min", "support": 1}, {"rating": "84 min", "support": 1}, {"rating": "NC-17", "support": 3}, {"rating": "UR", "support": 3}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_56eddba9f10c4f84/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_c17_56eddba9f10c4f84
+-- problem_id: v2p_c17_ff73f51204f9f14f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "rating",
+  COUNT(*) AS "support"
+FROM "c17"
+GROUP BY "rating"
+ORDER BY "support" ASC, "rating"
+LIMIT 16;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_56eddba9f10c4f84/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_tail_low_support_group_count_v2.\nSELECT\n  \"rating\",\n  COUNT(*) AS \"support\"\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY \"support\" ASC, \"rating\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2.\\nSELECT\\n  \\\"rating\\\",\\n  COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"support\\\" ASC, \\\"rating\\\"\\nLIMIT 16;\", \"columns\": [\"rating\", \"support\"], \"rows\": [{\"rating\": \"66 min\", \"support\": 1}, {\"rating\": \"74 min\", \"support\": 1}, {\"rating\": \"84 min\", \"support\": 1}, {\"rating\": \"NC-17\", \"support\": 3}, {\"rating\": \"UR\", \"support\": 3}, {\"rating\": \"\", \"support\": 4}, {\"rating\": \"TV-Y7-FV\", \"support\": 6}, {\"rating\": \"G\", \"support\": 41}, {\"rating\": \"NR\", \"support\": 80}, {\"rating\": \"TV-G\", \"support\": 220}, {\"rating\": \"PG\", \"support\": 287}, {\"rating\": \"TV-Y\", \"support\": 307}, {\"rating\": \"TV-Y7\", \"support\": 334}, {\"rating\": \"PG-13\", \"support\": 490}, {\"rating\": \"R\", \"support\": 799}, {\"rating\": \"TV-PG\", \"support\": 863}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.21}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_56eddba9f10c4f84/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:00:14.468814+00:00",
+  "ended_at": "2026-05-19T16:00:26.329442+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_56eddba9f10c4f84",
+    "problem_id": "v2p_c17_ff73f51204f9f14f",
+    "dataset_id": "c17",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "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_set_consistency with semantic role count_distribution. Focus on group_col=rating.",
+    "bindings": {
+      "group_col": "rating",
+      "top_k": 16,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 2019.0,
+      "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=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=2/2",
+      "binding_index=126"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_56eddba9f10c4f84.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_56eddba9f10c4f84",
+    "api_calls": 0,
+    "input_tokens": 14654,
+    "cached_input_tokens": 12032,
+    "output_tokens": 454,
+    "total_tokens": 15108,
+    "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": 11846.91,
+    "sql_execution_elapsed_ms_total": 7.21,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_56eddba9f10c4f84/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_56eddba9f10c4f84/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:00:26.319459+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": 11846.91, "started_at": "2026-05-19T16:00:14.471368+00:00", "ended_at": "2026-05-19T16:00:26.318316+00:00", "prompt_metrics": {"chars": 9157, "bytes_utf8": 9159, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 324, "bytes_utf8": 324, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14654, "cached_input_tokens": 12032, "output_tokens": 454, "reasoning_output_tokens": 356}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2.\\nSELECT\\n  \\\"rating\\\",\\n  COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"support\\\" ASC, \\\"rating\\\"\\nLIMIT 16;\",\"notes\":\"Uses the planned Low-Support Group Count template with group_col=\\\"rating\\\" and top_k=16 on the single table \\\"c17\\\".\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_56eddba9f10c4f84/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_56eddba9f10c4f84",
+  "api_calls": 0,
+  "input_tokens": 14654,
+  "cached_input_tokens": 12032,
+  "output_tokens": 454,
+  "total_tokens": 15108,
+  "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": 11846.91,
+  "sql_execution_elapsed_ms_total": 7.21,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_56eddba9f10c4f84/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d8b7fa6a31368c4/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=release_year.
+Result preview: [{"release_year": "2018", "row_count": 1147}, {"release_year": "2017", "row_count": 1032}, {"release_year": "2019", "row_count": 1030}, {"release_year": "2020", "row_count": 953}, {"release_year": "2016", "row_count": 902}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d8b7fa6a31368c4/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_c17_6d8b7fa6a31368c4
+-- problem_id: v2p_c17_053d1c0bec0373f4
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "release_year", COUNT(*) AS "row_count"
+FROM "c17"
+GROUP BY "release_year"
+ORDER BY "row_count" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d8b7fa6a31368c4/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_clickbench_group_count\nSELECT \"release_year\", COUNT(*) AS \"row_count\"\nFROM \"c17\"\nGROUP BY \"release_year\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"release_year\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"release_year\", \"row_count\"], \"rows\": [{\"release_year\": \"2018\", \"row_count\": 1147}, {\"release_year\": \"2017\", \"row_count\": 1032}, {\"release_year\": \"2019\", \"row_count\": 1030}, {\"release_year\": \"2020\", \"row_count\": 953}, {\"release_year\": \"2016\", \"row_count\": 902}, {\"release_year\": \"2021\", \"row_count\": 592}, {\"release_year\": \"2015\", \"row_count\": 560}, {\"release_year\": \"2014\", \"row_count\": 352}, {\"release_year\": \"2013\", \"row_count\": 288}, {\"release_year\": \"2012\", \"row_count\": 237}, {\"release_year\": \"2010\", \"row_count\": 194}, {\"release_year\": \"2011\", \"row_count\": 185}, {\"release_year\": \"2009\", \"row_count\": 152}, {\"release_year\": \"2008\", \"row_count\": 136}, {\"release_year\": \"2006\", \"row_count\": 96}, {\"release_year\": \"2007\", \"row_count\": 88}, {\"release_year\": \"2005\", \"row_count\": 80}, {\"release_year\": \"2004\", \"row_count\": 64}, {\"release_year\": \"2003\", \"row_count\": 61}, {\"release_year\": \"2002\", \"row_count\": 51}, {\"release_year\": \"2001\", \"row_count\": 45}, {\"release_year\": \"1999\", \"row_count\": 39}, {\"release_year\": \"1997\", \"row_count\": 38}, {\"release_year\": \"2000\", \"row_count\": 37}, {\"release_year\": \"1998\", \"row_count\": 36}, {\"release_year\": \"1993\", \"row_count\": 28}, {\"release_year\": \"1995\", \"row_count\": 25}, {\"release_year\": \"1996\", \"row_count\": 24}, {\"release_year\": \"1992\", \"row_count\": 23}, {\"release_year\": \"1994\", \"row_count\": 22}, {\"release_year\": \"1990\", \"row_count\": 22}, {\"release_year\": \"1988\", \"row_count\": 18}, {\"release_year\": \"1991\", \"row_count\": 17}, {\"release_year\": \"1982\", \"row_count\": 17}, {\"release_year\": \"1989\", \"row_count\": 16}, {\"release_year\": \"1986\", \"row_count\": 13}, {\"release_year\": \"1981\", \"row_count\": 13}, {\"release_year\": \"1984\", \"row_count\": 12}, {\"release_year\": \"1983\", \"row_count\": 11}, {\"release_year\": \"1980\", \"row_count\": 11}, {\"release_year\": \"1979\", \"row_count\": 11}, {\"release_year\": \"1985\", \"row_count\": 10}, {\"release_year\": \"1973\", \"row_count\": 10}, {\"release_year\": \"1976\", \"row_count\": 9}, {\"release_year\": \"1987\", \"row_count\": 8}, {\"release_year\": \"1978\", \"row_count\": 7}, {\"release_year\": \"1977\", \"row_count\": 7}, {\"release_year\": \"1975\", \"row_count\": 7}, {\"release_year\": \"1974\", \"row_count\": 7}, {\"release_year\": \"1972\", \"row_count\": 5}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 10.69}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d8b7fa6a31368c4/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:31:20.233662+00:00",
+  "ended_at": "2026-05-19T15:31:32.222982+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_6d8b7fa6a31368c4",
+    "problem_id": "v2p_c17_053d1c0bec0373f4",
+    "dataset_id": "c17",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "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 Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=release_year.",
+    "bindings": {
+      "group_col": "release_year",
+      "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": 2019.0,
+      "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 {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/1",
+      "binding_index=13"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_6d8b7fa6a31368c4.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_6d8b7fa6a31368c4",
+    "api_calls": 0,
+    "input_tokens": 14620,
+    "cached_input_tokens": 12288,
+    "output_tokens": 230,
+    "total_tokens": 14850,
+    "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": 11970.07,
+    "sql_execution_elapsed_ms_total": 10.69,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d8b7fa6a31368c4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d8b7fa6a31368c4/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:31:32.209271+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": 11970.07, "started_at": "2026-05-19T15:31:20.237475+00:00", "ended_at": "2026-05-19T15:31:32.207588+00:00", "prompt_metrics": {"chars": 9087, "bytes_utf8": 9089, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 308, "bytes_utf8": 308, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14620, "cached_input_tokens": 12288, "output_tokens": 230, "reasoning_output_tokens": 146}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"release_year\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided Grouped Count by Category template with group_col bound to \\\"release_year\\\" on the single table \\\"c17\\\".\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d8b7fa6a31368c4/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_6d8b7fa6a31368c4",
+  "api_calls": 0,
+  "input_tokens": 14620,
+  "cached_input_tokens": 12288,
+  "output_tokens": 230,
+  "total_tokens": 14850,
+  "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": 11970.07,
+  "sql_execution_elapsed_ms_total": 10.69,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d8b7fa6a31368c4/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_814c15841852d542/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=release_year, measure_col=release_year.
+Result preview: [{"group_col": "1925", "item_col": "1925", "total_measure": 1925.0, "share_within_group": 100.0}, {"group_col": "1942", "item_col": "1942", "total_measure": 3884.0, "share_within_group": 100.0}, {"group_col": "1943", "item_col": "1943", "total_measure": 5829.0, "share_within_group": 100.0}, {"group_col": "1944", "item_col": "1944", "total_measure": 5832.0, "share_within_group": 100.0}, {"group_col": "1945", "item_col": "1945", "total_measure": 7780.0, "share_within_group": 100.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_814c15841852d542/generated_sql.sql

@@ -0,0 +1,23 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_814c15841852d542
+-- problem_id: v2p_c17_6391509dc5cdb4aa
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "release_year" AS "group_col",
+       "release_year" AS "item_col",
+       SUM(CAST("release_year" AS REAL)) AS "total_measure",
+       SUM(CAST("release_year" AS REAL)) * 100.0 / SUM(SUM(CAST("release_year" AS REAL))) OVER (PARTITION BY "release_year") AS "share_within_group"
+FROM "c17"
+WHERE "release_year" IS NOT NULL
+  AND "release_year" <> ''
+GROUP BY "release_year", "release_year"
+ORDER BY "share_within_group" DESC
+LIMIT 15;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_814c15841852d542/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:33:58.387322+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": 20997.4, "started_at": "2026-05-19T15:33:37.387971+00:00", "ended_at": "2026-05-19T15:33:58.385459+00:00", "prompt_metrics": {"chars": 9602, "bytes_utf8": 9604, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 843, "bytes_utf8": 843, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14766, "cached_input_tokens": 13696, "output_tokens": 738, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"release_year\\\" AS \\\"group_col\\\",\\n       \\\"release_year\\\" AS \\\"item_col\\\",\\n       SUM(CAST(\\\"release_year\\\" AS REAL)) AS \\\"total_measure\\\",\\n       SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"release_year\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"release_year\\\" IS NOT NULL\\n  AND \\\"release_year\\\" <> ''\\nGROUP BY \\\"release_year\\\", \\\"release_year\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 15;\",\"notes\":\"Applied the requested template with group_col=item_col=measure_col bound to release_year. CAST is used because SQLite schema stores release_year as TEXT. With these bindings, each group contains only its own release_year item, so share_within_group will be 100.0 for each non-empty release_year.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ae8e0e60e86bfe1b/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=type, measure_col=release_year.
+Result preview: [{"type": "TV Show", "description": "This educational series for tiny tots features a toe-tapping spin on nursery rhymes with upbeat tunes and a diverse set of easy-to-follow lessons.", "total_measure": 4038, "share_within_group": 0.07482714983979244}, {"type": "TV Show", "description": "As a psychology professor faces Alzheimer's, his daughter and her three close female friends experience romance, marriage, heartbreak and tragedy.", "total_measure": 4036, "share_within_group": 0.07479008834903474}, {"type": "TV Show", "description": "Born into a small town controlled by the mafia, an irate young woman seeks revenge on the forces that tore apart and wrongfully imprisoned her family.", "total_measure": 4036, "share_within_group": 0.07479008834903474}, {"type": "TV Show", "description": "Two quirky cats, Ollie and Moon, and their friend Stanley the snail travel the world, solving everyday problems and learning about different cultures.", "total_measure": 4036, "share_within_group": 0.07479008834903474}, {"type": "Movie", "description": "Paranormal activity at a lush, abandoned property alarms a group eager to redevelop the site, but the eerie events may not be as unearthly as they think.", "total_measure": 8084, "share_within_group": 0.06549754149257911}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ae8e0e60e86bfe1b/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_ae8e0e60e86bfe1b
+-- problem_id: v2p_c17_73e9593263e8e708
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "type",
+  "description",
+  SUM(CAST("release_year" AS INTEGER)) AS total_measure,
+  SUM(CAST("release_year" AS INTEGER)) * 100.0 / SUM(SUM(CAST("release_year" AS INTEGER))) OVER (PARTITION BY "type") AS share_within_group
+FROM "c17"
+GROUP BY "type", "description"
+ORDER BY share_within_group DESC
+LIMIT 18;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ae8e0e60e86bfe1b/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  \"type\",\n  \"description\",\n  SUM(CAST(\"release_year\" AS INTEGER)) AS total_measure,\n  SUM(CAST(\"release_year\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"release_year\" AS INTEGER))) OVER (PARTITION BY \"type\") AS share_within_group\nFROM \"c17\"\nGROUP BY \"type\", \"description\"\nORDER BY share_within_group DESC\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"type\\\",\\n  \\\"description\\\",\\n  SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure,\\n  SUM(CAST(\\\"release_year\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS INTEGER))) OVER (PARTITION BY \\\"type\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\", \\\"description\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\", \"columns\": [\"type\", \"description\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"type\": \"TV Show\", \"description\": \"This educational series for tiny tots features a toe-tapping spin on nursery rhymes with upbeat tunes and a diverse set of easy-to-follow lessons.\", \"total_measure\": 4038, \"share_within_group\": 0.07482714983979244}, {\"type\": \"TV Show\", \"description\": \"As a psychology professor faces Alzheimer's, his daughter and her three close female friends experience romance, marriage, heartbreak and tragedy.\", \"total_measure\": 4036, \"share_within_group\": 0.07479008834903474}, {\"type\": \"TV Show\", \"description\": \"Born into a small town controlled by the mafia, an irate young woman seeks revenge on the forces that tore apart and wrongfully imprisoned her family.\", \"total_measure\": 4036, \"share_within_group\": 0.07479008834903474}, {\"type\": \"TV Show\", \"description\": \"Two quirky cats, Ollie and Moon, and their friend Stanley the snail travel the world, solving everyday problems and learning about different cultures.\", \"total_measure\": 4036, \"share_within_group\": 0.07479008834903474}, {\"type\": \"Movie\", \"description\": \"Paranormal activity at a lush, abandoned property alarms a group eager to redevelop the site, but the eerie events may not be as unearthly as they think.\", \"total_measure\": 8084, \"share_within_group\": 0.06549754149257911}, {\"type\": \"Movie\", \"description\": \"Challenged to compose 100 songs before he can marry the girl he loves, a tortured but passionate singer-songwriter embarks on a poignant musical journey.\", \"total_measure\": 6063, \"share_within_group\": 0.04912315611943433}, {\"type\": \"Movie\", \"description\": \"A surly septuagenarian gets another chance at her 20s after having her photo snapped at a studio that magically takes 50 years off her life.\", \"total_measure\": 6057, \"share_within_group\": 0.04907454339690149}, {\"type\": \"TV Show\", \"description\": \"A 70-year-old with a dream and a 23-year-old with a gift lift each other out of harsh realities and rise to the challenge of becoming ballerinos.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A Brooklyn youth football program and its selfless coaches provide a safe haven for kids to compete and learn lessons that will take them far in life.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A Haredi family living in an ultra-Orthodox neighborhood of Jerusalem reckons with love, loss and the doldrums of daily life.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A New York City grad student moonlighting as a dominatrix enlists her gay BFF from high school to be her assistant.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A big-city dentist opens up a practice in a close-knit seaside village, home to a charming jack-of-all-trades who is her polar opposite in every way.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A boy suddenly orphaned fights his parents' killer to save a planet, and discovers a new world of danger — and wonder.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A boy's superhero dreams come true when he finds five powerful cosmic stones. But saving the day is harder than he imagined — and he can't do it alone.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A brave, energetic little boy with superhuman powers leads his friends on exciting adventures to guard their fellow Dholakpur villagers from evil.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A career-driven 30-something must contend with a cutthroat workplace, a love triangle and her nagging mom.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A chance encounter leads two 30-somethings to remember 1998, the year their teenage hormones kicked in — and the internet changed their lives forever.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}, {\"type\": \"TV Show\", \"description\": \"A city kid is brought to the countryside by his father's new coaching gig: reviving a ragtag middle school badminton team on the brink of extinction.\", \"total_measure\": 2021, \"share_within_group\": 0.037450636410653916}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 49.44}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ae8e0e60e86bfe1b/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:35:16.089943+00:00",
+  "ended_at": "2026-05-19T15:35:36.475341+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_ae8e0e60e86bfe1b",
+    "problem_id": "v2p_c17_73e9593263e8e708",
+    "dataset_id": "c17",
+    "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=type, measure_col=release_year.",
+    "bindings": {
+      "group_col": "type",
+      "measure_col": "release_year",
+      "item_col": "description",
+      "top_k": 18,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 2018.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=2/2",
+      "binding_index=28"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_ae8e0e60e86bfe1b.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_ae8e0e60e86bfe1b",
+    "api_calls": 0,
+    "input_tokens": 14762,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1139,
+    "total_tokens": 15901,
+    "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": 20329.03,
+    "sql_execution_elapsed_ms_total": 49.44,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ae8e0e60e86bfe1b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ae8e0e60e86bfe1b/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:35:36.422364+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": 20329.03, "started_at": "2026-05-19T15:35:16.092188+00:00", "ended_at": "2026-05-19T15:35:36.421247+00:00", "prompt_metrics": {"chars": 9580, "bytes_utf8": 9582, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 628, "bytes_utf8": 628, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14762, "cached_input_tokens": 12032, "output_tokens": 1139, "reasoning_output_tokens": 971}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"type\\\",\\n  \\\"description\\\",\\n  SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure,\\n  SUM(CAST(\\\"release_year\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS INTEGER))) OVER (PARTITION BY \\\"type\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\", \\\"description\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\",\"notes\":\"Used the planned template with bound roles group_col=\\\"type\\\", item_col=\\\"description\\\", and measure_col=\\\"release_year\\\". \\\"release_year\\\" was cast to INTEGER for SQLite aggregation because the schema stores it as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ae8e0e60e86bfe1b/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_ae8e0e60e86bfe1b",
+  "api_calls": 0,
+  "input_tokens": 14762,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1139,
+  "total_tokens": 15901,
+  "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": 20329.03,
+  "sql_execution_elapsed_ms_total": 49.44,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ae8e0e60e86bfe1b/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b61994d3dacc9c9c/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=release_year, measure_col=release_year.
+Result preview: [{"release_year": "2018", "total_measure": 2314646}, {"release_year": "2017", "total_measure": 2081544}, {"release_year": "2019", "total_measure": 2079570}, {"release_year": "2020", "total_measure": 1925060}, {"release_year": "2016", "total_measure": 1818432}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b61994d3dacc9c9c/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_c17_b61994d3dacc9c9c
+-- problem_id: v2p_c17_49dcee60c2ff6672
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "release_year", SUM(CAST("release_year" AS INTEGER)) AS "total_measure"
+FROM "c17"
+GROUP BY "release_year"
+ORDER BY "total_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b61994d3dacc9c9c/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 \"release_year\", SUM(CAST(\"release_year\" AS INTEGER)) AS \"total_measure\"\nFROM \"c17\"\nGROUP BY \"release_year\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"release_year\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"release_year\", \"total_measure\"], \"rows\": [{\"release_year\": \"2018\", \"total_measure\": 2314646}, {\"release_year\": \"2017\", \"total_measure\": 2081544}, {\"release_year\": \"2019\", \"total_measure\": 2079570}, {\"release_year\": \"2020\", \"total_measure\": 1925060}, {\"release_year\": \"2016\", \"total_measure\": 1818432}, {\"release_year\": \"2021\", \"total_measure\": 1196432}, {\"release_year\": \"2015\", \"total_measure\": 1128400}, {\"release_year\": \"2014\", \"total_measure\": 708928}, {\"release_year\": \"2013\", \"total_measure\": 579744}, {\"release_year\": \"2012\", \"total_measure\": 476844}, {\"release_year\": \"2010\", \"total_measure\": 389940}, {\"release_year\": \"2011\", \"total_measure\": 372035}, {\"release_year\": \"2009\", \"total_measure\": 305368}, {\"release_year\": \"2008\", \"total_measure\": 273088}, {\"release_year\": \"2006\", \"total_measure\": 192576}, {\"release_year\": \"2007\", \"total_measure\": 176616}, {\"release_year\": \"2005\", \"total_measure\": 160400}, {\"release_year\": \"2004\", \"total_measure\": 128256}, {\"release_year\": \"2003\", \"total_measure\": 122183}, {\"release_year\": \"2002\", \"total_measure\": 102102}, {\"release_year\": \"2001\", \"total_measure\": 90045}, {\"release_year\": \"1999\", \"total_measure\": 77961}, {\"release_year\": \"1997\", \"total_measure\": 75886}, {\"release_year\": \"2000\", \"total_measure\": 74000}, {\"release_year\": \"1998\", \"total_measure\": 71928}, {\"release_year\": \"1993\", \"total_measure\": 55804}, {\"release_year\": \"1995\", \"total_measure\": 49875}, {\"release_year\": \"1996\", \"total_measure\": 47904}, {\"release_year\": \"1992\", \"total_measure\": 45816}, {\"release_year\": \"1994\", \"total_measure\": 43868}, {\"release_year\": \"1990\", \"total_measure\": 43780}, {\"release_year\": \"1988\", \"total_measure\": 35784}, {\"release_year\": \"1991\", \"total_measure\": 33847}, {\"release_year\": \"1982\", \"total_measure\": 33694}, {\"release_year\": \"1989\", \"total_measure\": 31824}, {\"release_year\": \"1986\", \"total_measure\": 25818}, {\"release_year\": \"1981\", \"total_measure\": 25753}, {\"release_year\": \"1984\", \"total_measure\": 23808}, {\"release_year\": \"1983\", \"total_measure\": 21813}, {\"release_year\": \"1980\", \"total_measure\": 21780}, {\"release_year\": \"1979\", \"total_measure\": 21769}, {\"release_year\": \"1985\", \"total_measure\": 19850}, {\"release_year\": \"1973\", \"total_measure\": 19730}, {\"release_year\": \"1976\", \"total_measure\": 17784}, {\"release_year\": \"1987\", \"total_measure\": 15896}, {\"release_year\": \"1978\", \"total_measure\": 13846}, {\"release_year\": \"1977\", \"total_measure\": 13839}, {\"release_year\": \"1975\", \"total_measure\": 13825}, {\"release_year\": \"1974\", \"total_measure\": 13818}, {\"release_year\": \"1972\", \"total_measure\": 9860}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.64}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b61994d3dacc9c9c/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:30:11.327099+00:00",
+  "ended_at": "2026-05-19T15:30:20.066487+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_b61994d3dacc9c9c",
+    "problem_id": "v2p_c17_49dcee60c2ff6672",
+    "dataset_id": "c17",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=release_year, measure_col=release_year.",
+    "bindings": {
+      "group_col": "release_year",
+      "measure_col": "release_year",
+      "top_k": 15,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 2018.0,
+      "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=2/2",
+      "binding_index=5"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_b61994d3dacc9c9c.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_b61994d3dacc9c9c",
+    "api_calls": 0,
+    "input_tokens": 14647,
+    "cached_input_tokens": 12032,
+    "output_tokens": 375,
+    "total_tokens": 15022,
+    "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": 8719.99,
+    "sql_execution_elapsed_ms_total": 11.64,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b61994d3dacc9c9c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b61994d3dacc9c9c/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_b61994d3dacc9c9c",
+  "api_calls": 0,
+  "input_tokens": 14647,
+  "cached_input_tokens": 12032,
+  "output_tokens": 375,
+  "total_tokens": 15022,
+  "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": 8719.99,
+  "sql_execution_elapsed_ms_total": 11.64,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b61994d3dacc9c9c/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_baa18092215896a6/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=release_year, measure_col=release_year.
+Result preview: [{"release_year_group": "1925", "release_year_item": "1925", "total_measure": 1925.0, "share_within_group": 100.0}, {"release_year_group": "1942", "release_year_item": "1942", "total_measure": 3884.0, "share_within_group": 100.0}, {"release_year_group": "1943", "release_year_item": "1943", "total_measure": 5829.0, "share_within_group": 100.0}, {"release_year_group": "1944", "release_year_item": "1944", "total_measure": 5832.0, "share_within_group": 100.0}, {"release_year_group": "1945", "release_year_item": "1945", "total_measure": 7780.0, "share_within_group": 100.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_baa18092215896a6/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_baa18092215896a6
+-- problem_id: v2p_c17_3ca600d54ff760e9
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "release_year" AS "release_year_group",
+  "release_year" AS "release_year_item",
+  SUM(CAST("release_year" AS REAL)) AS "total_measure",
+  SUM(CAST("release_year" AS REAL)) * 100.0 / SUM(SUM(CAST("release_year" AS REAL))) OVER (PARTITION BY "release_year") AS "share_within_group"
+FROM "c17"
+WHERE "release_year" IS NOT NULL AND "release_year" <> ''
+GROUP BY "release_year", "release_year"
+ORDER BY "share_within_group" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_baa18092215896a6/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  \"release_year\" AS \"release_year_group\",\n  \"release_year\" AS \"release_year_item\",\n  SUM(CAST(\"release_year\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"release_year\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"release_year\" AS REAL))) OVER (PARTITION BY \"release_year\") AS \"share_within_group\"\nFROM \"c17\"\nWHERE \"release_year\" IS NOT NULL AND \"release_year\" <> ''\nGROUP BY \"release_year\", \"release_year\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"release_year\\\" AS \\\"release_year_group\\\",\\n  \\\"release_year\\\" AS \\\"release_year_item\\\",\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"release_year\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"release_year\\\" IS NOT NULL AND \\\"release_year\\\" <> ''\\nGROUP BY \\\"release_year\\\", \\\"release_year\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"release_year_group\", \"release_year_item\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"release_year_group\": \"1925\", \"release_year_item\": \"1925\", \"total_measure\": 1925.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1942\", \"release_year_item\": \"1942\", \"total_measure\": 3884.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1943\", \"release_year_item\": \"1943\", \"total_measure\": 5829.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1944\", \"release_year_item\": \"1944\", \"total_measure\": 5832.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1945\", \"release_year_item\": \"1945\", \"total_measure\": 7780.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1946\", \"release_year_item\": \"1946\", \"total_measure\": 3892.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1947\", \"release_year_item\": \"1947\", \"total_measure\": 1947.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1954\", \"release_year_item\": \"1954\", \"total_measure\": 3908.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1955\", \"release_year_item\": \"1955\", \"total_measure\": 5865.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1956\", \"release_year_item\": \"1956\", \"total_measure\": 3912.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1958\", \"release_year_item\": \"1958\", \"total_measure\": 5874.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1959\", \"release_year_item\": \"1959\", \"total_measure\": 1959.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1960\", \"release_year_item\": \"1960\", \"total_measure\": 7840.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1961\", \"release_year_item\": \"1961\", \"total_measure\": 1961.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1962\", \"release_year_item\": \"1962\", \"total_measure\": 5886.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1963\", \"release_year_item\": \"1963\", \"total_measure\": 3926.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1964\", \"release_year_item\": \"1964\", \"total_measure\": 3928.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1965\", \"release_year_item\": \"1965\", \"total_measure\": 3930.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1966\", \"release_year_item\": \"1966\", \"total_measure\": 1966.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1967\", \"release_year_item\": \"1967\", \"total_measure\": 9835.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1968\", \"release_year_item\": \"1968\", \"total_measure\": 5904.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1969\", \"release_year_item\": \"1969\", \"total_measure\": 3938.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1970\", \"release_year_item\": \"1970\", \"total_measure\": 3940.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1971\", \"release_year_item\": \"1971\", \"total_measure\": 9855.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1972\", \"release_year_item\": \"1972\", \"total_measure\": 9860.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1973\", \"release_year_item\": \"1973\", \"total_measure\": 19730.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1974\", \"release_year_item\": \"1974\", \"total_measure\": 13818.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1975\", \"release_year_item\": \"1975\", \"total_measure\": 13825.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1976\", \"release_year_item\": \"1976\", \"total_measure\": 17784.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1977\", \"release_year_item\": \"1977\", \"total_measure\": 13839.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1978\", \"release_year_item\": \"1978\", \"total_measure\": 13846.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1979\", \"release_year_item\": \"1979\", \"total_measure\": 21769.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1980\", \"release_year_item\": \"1980\", \"total_measure\": 21780.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1981\", \"release_year_item\": \"1981\", \"total_measure\": 25753.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1982\", \"release_year_item\": \"1982\", \"total_measure\": 33694.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1983\", \"release_year_item\": \"1983\", \"total_measure\": 21813.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1984\", \"release_year_item\": \"1984\", \"total_measure\": 23808.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1985\", \"release_year_item\": \"1985\", \"total_measure\": 19850.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1986\", \"release_year_item\": \"1986\", \"total_measure\": 25818.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1987\", \"release_year_item\": \"1987\", \"total_measure\": 15896.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1988\", \"release_year_item\": \"1988\", \"total_measure\": 35784.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1989\", \"release_year_item\": \"1989\", \"total_measure\": 31824.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1990\", \"release_year_item\": \"1990\", \"total_measure\": 43780.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1991\", \"release_year_item\": \"1991\", \"total_measure\": 33847.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1992\", \"release_year_item\": \"1992\", \"total_measure\": 45816.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1993\", \"release_year_item\": \"1993\", \"total_measure\": 55804.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1994\", \"release_year_item\": \"1994\", \"total_measure\": 43868.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1995\", \"release_year_item\": \"1995\", \"total_measure\": 49875.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1996\", \"release_year_item\": \"1996\", \"total_measure\": 47904.0, \"share_within_group\": 100.0}, {\"release_year_group\": \"1997\", \"release_year_item\": \"1997\", \"total_measure\": 75886.0, \"share_within_group\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.75}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_baa18092215896a6/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:33:15.081893+00:00",
+  "ended_at": "2026-05-19T15:33:37.381641+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_baa18092215896a6",
+    "problem_id": "v2p_c17_3ca600d54ff760e9",
+    "dataset_id": "c17",
+    "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=release_year, measure_col=release_year.",
+    "bindings": {
+      "group_col": "release_year",
+      "measure_col": "release_year",
+      "item_col": "release_year",
+      "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": 2019.0,
+      "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_b/c17/sql/v2q_c17_baa18092215896a6.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_baa18092215896a6",
+    "api_calls": 0,
+    "input_tokens": 14765,
+    "cached_input_tokens": 13696,
+    "output_tokens": 748,
+    "total_tokens": 15513,
+    "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": 22275.09,
+    "sql_execution_elapsed_ms_total": 15.75,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_baa18092215896a6/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_baa18092215896a6/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:33:37.362610+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": 22275.09, "started_at": "2026-05-19T15:33:15.085595+00:00", "ended_at": "2026-05-19T15:33:37.360731+00:00", "prompt_metrics": {"chars": 9595, "bytes_utf8": 9597, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 871, "bytes_utf8": 871, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14765, "cached_input_tokens": 13696, "output_tokens": 748, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"release_year\\\" AS \\\"release_year_group\\\",\\n  \\\"release_year\\\" AS \\\"release_year_item\\\",\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"release_year\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"release_year\\\" IS NOT NULL AND \\\"release_year\\\" <> ''\\nGROUP BY \\\"release_year\\\", \\\"release_year\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the provided Within-Group Share of Total template with group_col=item_col=measure_col bound to \\\"release_year\\\". CAST is applied because \\\"release_year\\\" is stored as TEXT in the schema. Since group and item are the same column, each group has a single item, so share_within_group will be 100 for each non-empty release_year.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_baa18092215896a6/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_baa18092215896a6",
+  "api_calls": 0,
+  "input_tokens": 14765,
+  "cached_input_tokens": 13696,
+  "output_tokens": 748,
+  "total_tokens": 15513,
+  "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": 22275.09,
+  "sql_execution_elapsed_ms_total": 15.75,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_baa18092215896a6/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_bee08e4d45c69c46/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_bee08e4d45c69c46",
+  "api_calls": 0,
+  "input_tokens": 14683,
+  "cached_input_tokens": 13696,
+  "output_tokens": 2527,
+  "total_tokens": 17210,
+  "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": 40011.04,
+  "sql_execution_elapsed_ms_total": 40.34,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_bee08e4d45c69c46/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c2f5d44d89870b35/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=rating, measure_col=release_year.
+Result preview: [{"rating": "TV-Y", "avg_measure": 2017.1596091205213}, {"rating": "74 min", "avg_measure": 2017.0}, {"rating": "TV-MA", "avg_measure": 2016.6616775802931}, {"rating": "TV-G", "avg_measure": 2015.7454545454545}, {"rating": "TV-Y7", "avg_measure": 2015.508982035928}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c2f5d44d89870b35/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_c17_c2f5d44d89870b35
+-- problem_id: v2p_c17_b8dcd27ad44c6bd8
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT "rating",
+       AVG(CAST("release_year" AS REAL)) OVER (PARTITION BY "rating") AS avg_measure
+FROM "c17"
+WHERE "rating" IS NOT NULL
+  AND TRIM("rating") <> ''
+  AND "release_year" IS NOT NULL
+  AND TRIM("release_year") <> ''
+ORDER BY avg_measure DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c2f5d44d89870b35/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_window_partition_avg\nSELECT DISTINCT \"rating\",\n       AVG(CAST(\"release_year\" AS REAL)) OVER (PARTITION BY \"rating\") AS avg_measure\nFROM \"c17\"\nWHERE \"rating\" IS NOT NULL\n  AND TRIM(\"rating\") <> ''\n  AND \"release_year\" IS NOT NULL\n  AND TRIM(\"release_year\") <> ''\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"rating\\\",\\n       AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"rating\\\") AS avg_measure\\nFROM \\\"c17\\\"\\nWHERE \\\"rating\\\" IS NOT NULL\\n  AND TRIM(\\\"rating\\\") <> ''\\n  AND \\\"release_year\\\" IS NOT NULL\\n  AND TRIM(\\\"release_year\\\") <> ''\\nORDER BY avg_measure DESC;\", \"columns\": [\"rating\", \"avg_measure\"], \"rows\": [{\"rating\": \"TV-Y\", \"avg_measure\": 2017.1596091205213}, {\"rating\": \"74 min\", \"avg_measure\": 2017.0}, {\"rating\": \"TV-MA\", \"avg_measure\": 2016.6616775802931}, {\"rating\": \"TV-G\", \"avg_measure\": 2015.7454545454545}, {\"rating\": \"TV-Y7\", \"avg_measure\": 2015.508982035928}, {\"rating\": \"66 min\", \"avg_measure\": 2015.0}, {\"rating\": \"NC-17\", \"avg_measure\": 2015.0}, {\"rating\": \"TV-Y7-FV\", \"avg_measure\": 2014.8333333333333}, {\"rating\": \"TV-14\", \"avg_measure\": 2013.6555555555556}, {\"rating\": \"TV-PG\", \"avg_measure\": 2013.529548088065}, {\"rating\": \"NR\", \"avg_measure\": 2010.9125}, {\"rating\": \"R\", \"avg_measure\": 2010.4718397997497}, {\"rating\": \"84 min\", \"avg_measure\": 2010.0}, {\"rating\": \"PG-13\", \"avg_measure\": 2009.3142857142857}, {\"rating\": \"PG\", \"avg_measure\": 2008.4285714285713}, {\"rating\": \"UR\", \"avg_measure\": 1999.3333333333333}, {\"rating\": \"G\", \"avg_measure\": 1997.8048780487804}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.73}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c2f5d44d89870b35/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:01:17.382454+00:00",
+  "ended_at": "2026-05-19T16:01:28.733011+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_c2f5d44d89870b35",
+    "problem_id": "v2p_c17_b8dcd27ad44c6bd8",
+    "dataset_id": "c17",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=rating, measure_col=release_year.",
+    "bindings": {
+      "group_col": "rating",
+      "measure_col": "release_year",
+      "top_k": 14,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 2019.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=134"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "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_b/c17/sql/v2q_c17_c2f5d44d89870b35.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_c2f5d44d89870b35",
+    "api_calls": 0,
+    "input_tokens": 14657,
+    "cached_input_tokens": 12032,
+    "output_tokens": 513,
+    "total_tokens": 15170,
+    "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": 11328.26,
+    "sql_execution_elapsed_ms_total": 17.73,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c2f5d44d89870b35/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c2f5d44d89870b35/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:01:28.713741+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": 11328.26, "started_at": "2026-05-19T16:01:17.384626+00:00", "ended_at": "2026-05-19T16:01:28.712914+00:00", "prompt_metrics": {"chars": 9260, "bytes_utf8": 9262, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 597, "bytes_utf8": 597, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14657, "cached_input_tokens": 12032, "output_tokens": 513, "reasoning_output_tokens": 358}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"rating\\\",\\n       AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"rating\\\") AS avg_measure\\nFROM \\\"c17\\\"\\nWHERE \\\"rating\\\" IS NOT NULL\\n  AND TRIM(\\\"rating\\\") <> ''\\n  AND \\\"release_year\\\" IS NOT NULL\\n  AND TRIM(\\\"release_year\\\") <> ''\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the requested window-partition-average template with group_col=\\\"rating\\\" and measure_col=\\\"release_year\\\". Added stable-view filtering for NULL/empty values and cast \\\"release_year\\\" to REAL because it is stored as TEXT in the schema.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c2f5d44d89870b35/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_c2f5d44d89870b35",
+  "api_calls": 0,
+  "input_tokens": 14657,
+  "cached_input_tokens": 12032,
+  "output_tokens": 513,
+  "total_tokens": 15170,
+  "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": 11328.26,
+  "sql_execution_elapsed_ms_total": 17.73,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c2f5d44d89870b35/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fc846a808619d119/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "Movie", "support": 6131, "support_share": 0.6961507891449983, "support_rank": 1}, {"value_label": "TV Show", "support": 2676, "support_share": 0.3038492108550017, "support_rank": 2}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fc846a808619d119/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_c17_fc846a808619d119
+-- problem_id: v2p_c17_43fd61bd9af9c480
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "type" AS value_label, COUNT(*) AS support
+    FROM "c17"
+    GROUP BY "type"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fc846a808619d119/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c17\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c17_fc846a808619d119\n-- problem_id: v2p_c17_43fd61bd9af9c480\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"type\" AS value_label, COUNT(*) AS support\n    FROM \"c17\"\n    GROUP BY \"type\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c17\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c17_fc846a808619d119\\n-- problem_id: v2p_c17_43fd61bd9af9c480\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"type\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"c17\\\"\\n    GROUP BY \\\"type\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Movie\", \"support\": 6131, \"support_share\": 0.6961507891449983, \"support_rank\": 1}, {\"value_label\": \"TV Show\", \"support\": 2676, \"support_share\": 0.3038492108550017, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.37}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fc846a808619d119/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:03:15.453854+00:00",
+  "ended_at": "2026-05-19T16:03:15.457902+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_fc846a808619d119",
+    "problem_id": "v2p_c17_43fd61bd9af9c480",
+    "dataset_id": "c17",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=type.",
+    "bindings": {
+      "group_col": "type"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_fc846a808619d119.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fc846a808619d119/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}