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Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1e9eb2d100d6aae1/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "1 Season", "support": 1793, "support_share": 0.20358805495628476, "support_rank": 1}, {"value_label": "2 Seasons", "support": 425, "support_share": 0.0482570682411718, "support_rank": 2}, {"value_label": "3 Seasons", "support": 199, "support_share": 0.022595662541160442, "support_rank": 3}, {"value_label": "90 min", "support": 152, "support_share": 0.01725899852390144, "support_rank": 4}, {"value_label": "93 min", "support": 146, "support_share": 0.016577722266379016, "support_rank": 5}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1e9eb2d100d6aae1/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: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_c17_1e9eb2d100d6aae1
+-- problem_id: v2p_c17_6f3d70e6af06e6b0
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "duration" AS value_label, COUNT(*) AS support
+    FROM "c17"
+    GROUP BY "duration"
+)
+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_1e9eb2d100d6aae1/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: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c17_1e9eb2d100d6aae1\n-- problem_id: v2p_c17_6f3d70e6af06e6b0\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"duration\" AS value_label, COUNT(*) AS support\n    FROM \"c17\"\n    GROUP BY \"duration\"\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: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c17_1e9eb2d100d6aae1\\n-- problem_id: v2p_c17_6f3d70e6af06e6b0\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"duration\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"c17\\\"\\n    GROUP BY \\\"duration\\\"\\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\": \"1 Season\", \"support\": 1793, \"support_share\": 0.20358805495628476, \"support_rank\": 1}, {\"value_label\": \"2 Seasons\", \"support\": 425, \"support_share\": 0.0482570682411718, \"support_rank\": 2}, {\"value_label\": \"3 Seasons\", \"support\": 199, \"support_share\": 0.022595662541160442, \"support_rank\": 3}, {\"value_label\": \"90 min\", \"support\": 152, \"support_share\": 0.01725899852390144, \"support_rank\": 4}, {\"value_label\": \"93 min\", \"support\": 146, \"support_share\": 0.016577722266379016, \"support_rank\": 5}, {\"value_label\": \"94 min\", \"support\": 146, \"support_share\": 0.016577722266379016, \"support_rank\": 6}, {\"value_label\": \"97 min\", \"support\": 146, \"support_share\": 0.016577722266379016, \"support_rank\": 7}, {\"value_label\": \"91 min\", \"support\": 144, \"support_share\": 0.016350630180538207, \"support_rank\": 8}, {\"value_label\": \"95 min\", \"support\": 137, \"support_share\": 0.015555807880095378, \"support_rank\": 9}, {\"value_label\": \"96 min\", \"support\": 130, \"support_share\": 0.014760985579652549, \"support_rank\": 10}, {\"value_label\": \"92 min\", \"support\": 129, \"support_share\": 0.014647439536732145, \"support_rank\": 11}, {\"value_label\": \"102 min\", \"support\": 122, \"support_share\": 0.013852617236289316, \"support_rank\": 12}, {\"value_label\": \"98 min\", \"support\": 120, \"support_share\": 0.013625525150448507, \"support_rank\": 13}, {\"value_label\": \"99 min\", \"support\": 118, \"support_share\": 0.013398433064607699, \"support_rank\": 14}, {\"value_label\": \"101 min\", \"support\": 116, \"support_share\": 0.01317134097876689, \"support_rank\": 15}, {\"value_label\": \"88 min\", \"support\": 116, \"support_share\": 0.01317134097876689, \"support_rank\": 16}, {\"value_label\": \"103 min\", \"support\": 114, \"support_share\": 0.012944248892926082, \"support_rank\": 17}, {\"value_label\": \"106 min\", \"support\": 111, \"support_share\": 0.012603610764164868, \"support_rank\": 18}, {\"value_label\": \"100 min\", \"support\": 108, \"support_share\": 0.012262972635403655, \"support_rank\": 19}, {\"value_label\": \"89 min\", \"support\": 106, \"support_share\": 0.012035880549562847, \"support_rank\": 20}, {\"value_label\": \"104 min\", \"support\": 104, \"support_share\": 0.011808788463722039, \"support_rank\": 21}, {\"value_label\": \"86 min\", \"support\": 103, \"support_share\": 0.011695242420801635, \"support_rank\": 22}, {\"value_label\": \"105 min\", \"support\": 101, \"support_share\": 0.011468150334960826, \"support_rank\": 23}, {\"value_label\": \"87 min\", \"support\": 101, \"support_share\": 0.011468150334960826, \"support_rank\": 24}, {\"value_label\": \"107 min\", \"support\": 98, \"support_share\": 0.011127512206199614, \"support_rank\": 25}, {\"value_label\": \"110 min\", \"support\": 97, \"support_share\": 0.01101396616327921, \"support_rank\": 26}, {\"value_label\": \"4 Seasons\", \"support\": 95, \"support_share\": 0.010786874077438401, \"support_rank\": 27}, {\"value_label\": \"108 min\", \"support\": 87, \"support_share\": 0.009878505734075168, \"support_rank\": 28}, {\"value_label\": \"116 min\", \"support\": 80, \"support_share\": 0.009083683433632339, \"support_rank\": 29}, {\"value_label\": \"112 min\", \"support\": 74, \"support_share\": 0.008402407176109912, \"support_rank\": 30}, {\"value_label\": \"85 min\", \"support\": 73, \"support_share\": 0.008288861133189508, \"support_rank\": 31}, {\"value_label\": \"109 min\", \"support\": 69, \"support_share\": 0.007834676961507891, \"support_rank\": 32}, {\"value_label\": \"113 min\", \"support\": 69, \"support_share\": 0.007834676961507891, \"support_rank\": 33}, {\"value_label\": \"111 min\", \"support\": 68, \"support_share\": 0.007721130918587487, \"support_rank\": 34}, {\"value_label\": \"84 min\", \"support\": 67, \"support_share\": 0.007607584875667083, \"support_rank\": 35}, {\"value_label\": \"118 min\", \"support\": 65, \"support_share\": 0.0073804927898262745, \"support_rank\": 36}, {\"value_label\": \"5 Seasons\", \"support\": 65, \"support_share\": 0.0073804927898262745, \"support_rank\": 37}, {\"value_label\": \"83 min\", \"support\": 65, \"support_share\": 0.0073804927898262745, \"support_rank\": 38}, {\"value_label\": \"119 min\", \"support\": 63, \"support_share\": 0.007153400703985466, \"support_rank\": 39}, {\"value_label\": \"81 min\", \"support\": 62, \"support_share\": 0.007039854661065062, \"support_rank\": 40}, {\"value_label\": \"115 min\", \"support\": 61, \"support_share\": 0.006926308618144658, \"support_rank\": 41}, {\"value_label\": \"117 min\", \"support\": 61, \"support_share\": 0.006926308618144658, \"support_rank\": 42}, {\"value_label\": \"114 min\", \"support\": 56, \"support_share\": 0.006358578403542637, \"support_rank\": 43}, {\"value_label\": \"120 min\", \"support\": 56, \"support_share\": 0.006358578403542637, \"support_rank\": 44}, {\"value_label\": \"121 min\", \"support\": 54, \"support_share\": 0.006131486317701828, \"support_rank\": 45}, {\"value_label\": \"124 min\", \"support\": 52, \"support_share\": 0.005904394231861019, \"support_rank\": 46}, {\"value_label\": \"82 min\", \"support\": 52, \"support_share\": 0.005904394231861019, \"support_rank\": 47}, {\"value_label\": \"127 min\", \"support\": 48, \"support_share\": 0.005450210060179403, \"support_rank\": 48}, {\"value_label\": \"122 min\", \"support\": 45, \"support_share\": 0.00510957193141819, \"support_rank\": 49}, {\"value_label\": \"78 min\", \"support\": 45, \"support_share\": 0.00510957193141819, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.0}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1e9eb2d100d6aae1/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:03:15.469082+00:00",
+  "ended_at": "2026-05-19T16:03:15.474899+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_1e9eb2d100d6aae1",
+    "problem_id": "v2p_c17_6f3d70e6af06e6b0",
+    "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": "value_imbalance_profile",
+    "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=duration.",
+    "bindings": {
+      "group_col": "duration"
+    },
+    "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=4",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 4,
+    "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_1e9eb2d100d6aae1.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_1e9eb2d100d6aae1/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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1fcda40232b5e8fc/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=rating, condition_col=type.
+Result preview: [{"rating": "R", "condition_ratio": 398.5}, {"rating": "NR", "condition_ratio": 15.0}, {"rating": "TV-Y7-FV", "condition_ratio": 5.0}, {"rating": "TV-14", "condition_ratio": 1.946793997271487}, {"rating": "TV-MA", "condition_ratio": 1.8008733624454147}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1fcda40232b5e8fc/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_c17_1fcda40232b5e8fc
+-- problem_id: v2p_c17_0a5a9394c0215559
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT
+        "rating",
+        SUM(CASE WHEN "type" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,
+        SUM(CASE WHEN "type" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "c17"
+    GROUP BY "rating"
+)
+SELECT
+    "rating",
+    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1fcda40232b5e8fc/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT\n        \"rating\",\n        SUM(CASE WHEN \"type\" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,\n        SUM(CASE WHEN \"type\" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"c17\"\n    GROUP BY \"rating\"\n)\nSELECT\n    \"rating\",\n    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT\\n        \\\"rating\\\",\\n        SUM(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,\\n        SUM(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c17\\\"\\n    GROUP BY \\\"rating\\\"\\n)\\nSELECT\\n    \\\"rating\\\",\\n    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"rating\", \"condition_ratio\"], \"rows\": [{\"rating\": \"R\", \"condition_ratio\": 398.5}, {\"rating\": \"NR\", \"condition_ratio\": 15.0}, {\"rating\": \"TV-Y7-FV\", \"condition_ratio\": 5.0}, {\"rating\": \"TV-14\", \"condition_ratio\": 1.946793997271487}, {\"rating\": \"TV-MA\", \"condition_ratio\": 1.8008733624454147}, {\"rating\": \"TV-PG\", \"condition_ratio\": 1.671826625386997}, {\"rating\": \"TV-G\", \"condition_ratio\": 1.3404255319148937}, {\"rating\": \"\", \"condition_ratio\": 1.0}, {\"rating\": \"TV-Y\", \"condition_ratio\": 0.7443181818181818}, {\"rating\": \"TV-Y7\", \"condition_ratio\": 0.7128205128205128}, {\"rating\": \"66 min\", \"condition_ratio\": null}, {\"rating\": \"74 min\", \"condition_ratio\": null}, {\"rating\": \"84 min\", \"condition_ratio\": null}, {\"rating\": \"G\", \"condition_ratio\": null}, {\"rating\": \"NC-17\", \"condition_ratio\": null}, {\"rating\": \"PG\", \"condition_ratio\": null}, {\"rating\": \"PG-13\", \"condition_ratio\": null}, {\"rating\": \"UR\", \"condition_ratio\": null}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.4}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1fcda40232b5e8fc/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:38:22.237806+00:00",
+  "ended_at": "2026-05-19T15:38:37.051077+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_1fcda40232b5e8fc",
+    "problem_id": "v2p_c17_0a5a9394c0215559",
+    "dataset_id": "c17",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=rating, condition_col=type.",
+    "bindings": {
+      "group_col": "rating",
+      "condition_col": "type",
+      "condition_value": "Movie",
+      "positive_value": "Movie",
+      "negative_value": "TV Show",
+      "top_k": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 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",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1",
+      "binding_index=38"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 3,
+    "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_1fcda40232b5e8fc.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_1fcda40232b5e8fc",
+    "api_calls": 0,
+    "input_tokens": 14853,
+    "cached_input_tokens": 13696,
+    "output_tokens": 573,
+    "total_tokens": 15426,
+    "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": 14799.22,
+    "sql_execution_elapsed_ms_total": 8.4,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1fcda40232b5e8fc/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_1fcda40232b5e8fc/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:38:37.040962+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": 14799.22, "started_at": "2026-05-19T15:38:22.240554+00:00", "ended_at": "2026-05-19T15:38:37.039801+00:00", "prompt_metrics": {"chars": 9978, "bytes_utf8": 9980, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14853, "cached_input_tokens": 13696, "output_tokens": 573, "reasoning_output_tokens": 385}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT\\n        \\\"rating\\\",\\n        SUM(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,\\n        SUM(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c17\\\"\\n    GROUP BY \\\"rating\\\"\\n)\\nSELECT\\n    \\\"rating\\\",\\n    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped by \\\"rating\\\" and computed the ratio of rows where \\\"type\\\" = 'Movie' to rows where \\\"type\\\" = 'TV Show', following the planned template exactly and using NULLIF to avoid division by zero.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1fcda40232b5e8fc/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_1fcda40232b5e8fc",
+  "api_calls": 0,
+  "input_tokens": 14853,
+  "cached_input_tokens": 13696,
+  "output_tokens": 573,
+  "total_tokens": 15426,
+  "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": 14799.22,
+  "sql_execution_elapsed_ms_total": 8.4,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1fcda40232b5e8fc/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_32dc5fb87a1d4c6f/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "Movie", "support": 6131, "support_share": 0.6961507891449983, "cumulative_support": 6131}, {"value_label": "TV Show", "support": 2676, "support_share": 0.3038492108550017, "cumulative_support": 8807}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32dc5fb87a1d4c6f/generated_sql.sql

@@ -0,0 +1,28 @@
+-- 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: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_c17_32dc5fb87a1d4c6f
+-- problem_id: v2p_c17_abbc2c0239afa171
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "type" AS value_label, COUNT(*) AS support
+    FROM "c17"
+    GROUP BY "type"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32dc5fb87a1d4c6f/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: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c17_32dc5fb87a1d4c6f\n-- problem_id: v2p_c17_abbc2c0239afa171\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), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\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: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c17_32dc5fb87a1d4c6f\\n-- problem_id: v2p_c17_abbc2c0239afa171\\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), ranked AS (\\n    SELECT\\n        value_label,\\n        support,\\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n    FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Movie\", \"support\": 6131, \"support_share\": 0.6961507891449983, \"cumulative_support\": 6131}, {\"value_label\": \"TV Show\", \"support\": 2676, \"support_share\": 0.3038492108550017, \"cumulative_support\": 8807}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.42}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32dc5fb87a1d4c6f/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:03:15.432271+00:00",
+  "ended_at": "2026-05-19T16:03:15.436370+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_32dc5fb87a1d4c6f",
+    "problem_id": "v2p_c17_abbc2c0239afa171",
+    "dataset_id": "c17",
+    "template_id": "tpl_cardinality_distinct_share_profile",
+    "template_name": "Cardinality Distinct Share Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. 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), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\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_32dc5fb87a1d4c6f.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_32dc5fb87a1d4c6f/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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_33d80305f8156656/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_33d80305f8156656/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_33d80305f8156656
+-- problem_id: v2p_c17_4fe2b63ecbd26366
+-- 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 "rating" <> ''
+  AND "release_year" IS NOT NULL
+  AND "release_year" <> ''
+ORDER BY avg_measure DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_33d80305f8156656/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 \"rating\" <> ''\n  AND \"release_year\" IS NOT NULL\n  AND \"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 \\\"rating\\\" <> ''\\n  AND \\\"release_year\\\" IS NOT NULL\\n  AND \\\"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\": 17.31}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_33d80305f8156656/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:02:53.606617+00:00",
+  "ended_at": "2026-05-19T16:03:06.341153+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_33d80305f8156656",
+    "problem_id": "v2p_c17_4fe2b63ecbd26366",
+    "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": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 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=7",
+      "sql_variant_index=1/2",
+      "binding_index=138"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_33d80305f8156656.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_33d80305f8156656",
+    "api_calls": 0,
+    "input_tokens": 14657,
+    "cached_input_tokens": 12032,
+    "output_tokens": 487,
+    "total_tokens": 15144,
+    "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": 12712.52,
+    "sql_execution_elapsed_ms_total": 17.31,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_33d80305f8156656/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_33d80305f8156656/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:03:06.322422+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": 12712.52, "started_at": "2026-05-19T16:02:53.609105+00:00", "ended_at": "2026-05-19T16:03:06.321647+00:00", "prompt_metrics": {"chars": 9260, "bytes_utf8": 9262, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 596, "bytes_utf8": 596, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14657, "cached_input_tokens": 12032, "output_tokens": 487, "reasoning_output_tokens": 336}, "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 \\\"rating\\\" <> ''\\n  AND \\\"release_year\\\" IS NOT NULL\\n  AND \\\"release_year\\\" <> ''\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the planned Window Partition Average template with \\\"rating\\\" as the partitioning group and \\\"release_year\\\" as the averaged measure. Filtered out null/empty values and cast \\\"release_year\\\" to REAL to ensure SQLite computes a numeric average.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_33d80305f8156656/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_33d80305f8156656",
+  "api_calls": 0,
+  "input_tokens": 14657,
+  "cached_input_tokens": 12032,
+  "output_tokens": 487,
+  "total_tokens": 15144,
+  "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": 12712.52,
+  "sql_execution_elapsed_ms_total": 17.31,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_33d80305f8156656/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_4a15bb76395b4b1e/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"release_year": "2018", "total_rows": 1147, "missing_rows": 0, "missing_rate": 0.0}, {"release_year": "2017", "total_rows": 1032, "missing_rows": 0, "missing_rate": 0.0}, {"release_year": "2019", "total_rows": 1030, "missing_rows": 0, "missing_rate": 0.0}, {"release_year": "2020", "total_rows": 953, "missing_rows": 0, "missing_rate": 0.0}, {"release_year": "2016", "total_rows": 902, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4a15bb76395b4b1e/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: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_rate_by_subgroup
+-- variant_semantic_role: missing_rate_by_subgroup
+-- template_id: tpl_missing_rate_by_subgroup
+-- query_record_id: v2q_c17_4a15bb76395b4b1e
+-- problem_id: v2p_c17_6530d9c1d8e2e49d
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "release_year",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "duration" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "duration" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "c17"
+GROUP BY "release_year"
+ORDER BY missing_rate DESC, total_rows DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4a15bb76395b4b1e/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: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c17_4a15bb76395b4b1e\n-- problem_id: v2p_c17_6530d9c1d8e2e49d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"release_year\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"duration\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"duration\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c17\"\nGROUP BY \"release_year\"\nORDER BY missing_rate DESC, total_rows DESC;", "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: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c17_4a15bb76395b4b1e\\n-- problem_id: v2p_c17_6530d9c1d8e2e49d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"release_year\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"duration\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"duration\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"release_year\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"release_year\": \"2018\", \"total_rows\": 1147, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2017\", \"total_rows\": 1032, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2019\", \"total_rows\": 1030, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2020\", \"total_rows\": 953, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2016\", \"total_rows\": 902, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2021\", \"total_rows\": 592, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2015\", \"total_rows\": 560, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2014\", \"total_rows\": 352, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2013\", \"total_rows\": 288, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2012\", \"total_rows\": 237, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2010\", \"total_rows\": 194, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2011\", \"total_rows\": 185, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2009\", \"total_rows\": 152, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2008\", \"total_rows\": 136, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2006\", \"total_rows\": 96, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2007\", \"total_rows\": 88, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2005\", \"total_rows\": 80, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2004\", \"total_rows\": 64, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2003\", \"total_rows\": 61, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2002\", \"total_rows\": 51, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2001\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1999\", \"total_rows\": 39, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1997\", \"total_rows\": 38, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2000\", \"total_rows\": 37, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1998\", \"total_rows\": 36, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1993\", \"total_rows\": 28, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1995\", \"total_rows\": 25, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1996\", \"total_rows\": 24, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1992\", \"total_rows\": 23, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1990\", \"total_rows\": 22, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1994\", \"total_rows\": 22, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1988\", \"total_rows\": 18, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1982\", \"total_rows\": 17, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1991\", \"total_rows\": 17, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1989\", \"total_rows\": 16, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1981\", \"total_rows\": 13, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1986\", \"total_rows\": 13, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1984\", \"total_rows\": 12, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1979\", \"total_rows\": 11, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1980\", \"total_rows\": 11, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1983\", \"total_rows\": 11, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1973\", \"total_rows\": 10, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1985\", \"total_rows\": 10, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1976\", \"total_rows\": 9, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1987\", \"total_rows\": 8, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1974\", \"total_rows\": 7, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1975\", \"total_rows\": 7, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1977\", \"total_rows\": 7, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1978\", \"total_rows\": 7, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1967\", \"total_rows\": 5, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.98}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4a15bb76395b4b1e/run_manifest.json

@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:03:15.391361+00:00",
+  "ended_at": "2026-05-19T16:03:15.397091+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_4a15bb76395b4b1e",
+    "problem_id": "v2p_c17_6530d9c1d8e2e49d",
+    "dataset_id": "c17",
+    "template_id": "tpl_missing_rate_by_subgroup",
+    "template_name": "Missing Rate by Subgroup",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_rate_by_subgroup",
+    "variant_semantic_role": "missing_rate_by_subgroup",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=release_year, missing_col=duration.",
+    "bindings": {
+      "missing_col": "duration",
+      "group_col": "release_year"
+    },
+    "binding_roles": [
+      "missing_col",
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=12",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 12,
+    "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_4a15bb76395b4b1e.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_4a15bb76395b4b1e/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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4d0a32a101139eb0/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=duration, measure_col=release_year.
+Result preview: [{"duration": "10 min", "listed_in": "Documentaries", "total_measure": 2019, "share_within_group": 100.0}, {"duration": "11 Seasons", "listed_in": "Classic & Cult TV, TV Comedies", "total_measure": 3995, "share_within_group": 100.0}, {"duration": "11 min", "listed_in": "Children & Family Movies", "total_measure": 4036, "share_within_group": 100.0}, {"duration": "16 min", "listed_in": "Children & Family Movies, Dramas", "total_measure": 2020, "share_within_group": 100.0}, {"duration": "167 min", "listed_in": "Dramas", "total_measure": 2002, "share_within_group": 100.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4d0a32a101139eb0/generated_sql.sql

@@ -0,0 +1,28 @@
+-- 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_4d0a32a101139eb0
+-- problem_id: v2p_c17_aebd7744d47118ef
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "duration",
+  "listed_in",
+  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 "duration") AS "share_within_group"
+FROM "c17"
+WHERE "duration" IS NOT NULL
+  AND "duration" <> ''
+  AND "listed_in" IS NOT NULL
+  AND "listed_in" <> ''
+  AND "release_year" IS NOT NULL
+  AND "release_year" <> ''
+GROUP BY "duration", "listed_in"
+ORDER BY "share_within_group" DESC
+LIMIT 12;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4d0a32a101139eb0/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  \"duration\",\n  \"listed_in\",\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 \"duration\") AS \"share_within_group\"\nFROM \"c17\"\nWHERE \"duration\" IS NOT NULL\n  AND \"duration\" <> ''\n  AND \"listed_in\" IS NOT NULL\n  AND \"listed_in\" <> ''\n  AND \"release_year\" IS NOT NULL\n  AND \"release_year\" <> ''\nGROUP BY \"duration\", \"listed_in\"\nORDER BY \"share_within_group\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"duration\\\",\\n  \\\"listed_in\\\",\\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 \\\"duration\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"duration\\\" IS NOT NULL\\n  AND \\\"duration\\\" <> ''\\n  AND \\\"listed_in\\\" IS NOT NULL\\n  AND \\\"listed_in\\\" <> ''\\n  AND \\\"release_year\\\" IS NOT NULL\\n  AND \\\"release_year\\\" <> ''\\nGROUP BY \\\"duration\\\", \\\"listed_in\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 12;\", \"columns\": [\"duration\", \"listed_in\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"duration\": \"10 min\", \"listed_in\": \"Documentaries\", \"total_measure\": 2019, \"share_within_group\": 100.0}, {\"duration\": \"11 Seasons\", \"listed_in\": \"Classic & Cult TV, TV Comedies\", \"total_measure\": 3995, \"share_within_group\": 100.0}, {\"duration\": \"11 min\", \"listed_in\": \"Children & Family Movies\", \"total_measure\": 4036, \"share_within_group\": 100.0}, {\"duration\": \"16 min\", \"listed_in\": \"Children & Family Movies, Dramas\", \"total_measure\": 2020, \"share_within_group\": 100.0}, {\"duration\": \"167 min\", \"listed_in\": \"Dramas\", \"total_measure\": 2002, \"share_within_group\": 100.0}, {\"duration\": \"17 Seasons\", \"listed_in\": \"Romantic TV Shows, TV Dramas\", \"total_measure\": 2020, \"share_within_group\": 100.0}, {\"duration\": \"178 min\", \"listed_in\": \"Classic Movies, Dramas, International Movies\", \"total_measure\": 1985, \"share_within_group\": 100.0}, {\"duration\": \"18 min\", \"listed_in\": \"Classic Movies, Documentaries\", \"total_measure\": 1942, \"share_within_group\": 100.0}, {\"duration\": \"186 min\", \"listed_in\": \"Dramas, International Movies\", \"total_measure\": 2010, \"share_within_group\": 100.0}, {\"duration\": \"189 min\", \"listed_in\": \"Dramas, Independent Movies\", \"total_measure\": 1999, \"share_within_group\": 100.0}, {\"duration\": \"191 min\", \"listed_in\": \"Action & Adventure\", \"total_measure\": 1994, \"share_within_group\": 100.0}, {\"duration\": \"193 min\", \"listed_in\": \"Classic Movies, Dramas, International Movies\", \"total_measure\": 1994, \"share_within_group\": 100.0}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 30.79}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4d0a32a101139eb0/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:34:29.941050+00:00",
+  "ended_at": "2026-05-19T15:34:47.871119+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_4d0a32a101139eb0",
+    "problem_id": "v2p_c17_aebd7744d47118ef",
+    "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=duration, measure_col=release_year.",
+    "bindings": {
+      "group_col": "duration",
+      "measure_col": "release_year",
+      "item_col": "listed_in",
+      "top_k": 12,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 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=4",
+      "sql_variant_index=1/2",
+      "binding_index=27"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_4d0a32a101139eb0.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_4d0a32a101139eb0",
+    "api_calls": 0,
+    "input_tokens": 14763,
+    "cached_input_tokens": 12032,
+    "output_tokens": 746,
+    "total_tokens": 15509,
+    "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": 17891.15,
+    "sql_execution_elapsed_ms_total": 30.79,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4d0a32a101139eb0/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_4d0a32a101139eb0/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:34:47.837242+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": 17891.15, "started_at": "2026-05-19T15:34:29.944885+00:00", "ended_at": "2026-05-19T15:34:47.836070+00:00", "prompt_metrics": {"chars": 9584, "bytes_utf8": 9586, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 808, "bytes_utf8": 808, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14763, "cached_input_tokens": 12032, "output_tokens": 746, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"duration\\\",\\n  \\\"listed_in\\\",\\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 \\\"duration\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"duration\\\" IS NOT NULL\\n  AND \\\"duration\\\" <> ''\\n  AND \\\"listed_in\\\" IS NOT NULL\\n  AND \\\"listed_in\\\" <> ''\\n  AND \\\"release_year\\\" IS NOT NULL\\n  AND \\\"release_year\\\" <> ''\\nGROUP BY \\\"duration\\\", \\\"listed_in\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 12;\",\"notes\":\"Uses the requested Within-Group Share of Total template with group_col=duration, item_col=listed_in, and measure_col=release_year. CAST is applied because release_year is stored as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4d0a32a101139eb0/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_4d0a32a101139eb0",
+  "api_calls": 0,
+  "input_tokens": 14763,
+  "cached_input_tokens": 12032,
+  "output_tokens": 746,
+  "total_tokens": 15509,
+  "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": 17891.15,
+  "sql_execution_elapsed_ms_total": 30.79,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4d0a32a101139eb0/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_5f7bc3111abfd834/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"type": "Movie", "total_rows": 6131, "missing_rows": 0, "missing_rate": 0.0}, {"type": "TV Show", "total_rows": 2676, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_69707630e2b5f459/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=release_year.
+Result preview: [{"empirical_cdf_at_threshold": 0.8245713636879755}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_69707630e2b5f459/generated_sql.sql

@@ -0,0 +1,15 @@
+-- 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: rare_extreme_view
+-- template_id: tpl_threshold_rarity_cdf
+-- query_record_id: v2q_c17_69707630e2b5f459
+-- problem_id: v2p_c17_62fcce97a3b5c916
+-- realization_mode: agent
+-- source_kind: agent
+SELECT AVG(CASE WHEN CAST("release_year" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold"
+FROM "c17";

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_69707630e2b5f459/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"release_year\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c17\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"release_year\\\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c17\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.8245713636879755}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.49}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_69707630e2b5f459/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:57:25.000951+00:00",
+  "ended_at": "2026-05-19T15:57:40.849583+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_69707630e2b5f459",
+    "problem_id": "v2p_c17_62fcce97a3b5c916",
+    "dataset_id": "c17",
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=release_year.",
+    "bindings": {
+      "measure_col": "release_year",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 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": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1",
+      "binding_index=112"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 10,
+    "problem_index_within_template": 5,
+    "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_69707630e2b5f459.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_69707630e2b5f459",
+    "api_calls": 0,
+    "input_tokens": 14636,
+    "cached_input_tokens": 13696,
+    "output_tokens": 285,
+    "total_tokens": 14921,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14833.75,
+    "sql_execution_elapsed_ms_total": 5.49,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_69707630e2b5f459/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_69707630e2b5f459/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:57:28.097164+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3092.51, "started_at": "2026-05-19T15:57:25.003860+00:00", "ended_at": "2026-05-19T15:57:28.096401+00:00", "prompt_metrics": {"chars": 9115, "bytes_utf8": 9117, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-cba6-77c3-a59d-2dc2b58b6dd6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T15:57:40.841252+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11741.24, "started_at": "2026-05-19T15:57:29.098330+00:00", "ended_at": "2026-05-19T15:57:40.839617+00:00", "prompt_metrics": {"chars": 9115, "bytes_utf8": 9117, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14636, "cached_input_tokens": 13696, "output_tokens": 285, "reasoning_output_tokens": 177}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"release_year\\\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c17\\\";\",\"notes\":\"Used the requested Threshold Rarity CDF template on \\\"release_year\\\" with threshold 2019.0. Cast \\\"release_year\\\" to REAL because it is stored as TEXT in the SQLite schema snapshot.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_69707630e2b5f459/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_69707630e2b5f459",
+  "api_calls": 0,
+  "input_tokens": 14636,
+  "cached_input_tokens": 13696,
+  "output_tokens": 285,
+  "total_tokens": 14921,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 2,
+  "estimated_input_tokens": 0,
+  "estimated_output_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14833.75,
+  "sql_execution_elapsed_ms_total": 5.49,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_69707630e2b5f459/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_69ea826f95ed77a0/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: cardinality_structure
+-- canonical_subitem_id: high_cardinality_response_stability
+-- intended_facet_id: target_cardinality_cross_section
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_cardinality_high_card_response_stability
+-- query_record_id: v2q_c17_69ea826f95ed77a0
+-- problem_id: v2p_c17_da345897263d1301
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "show_id",
+    COUNT(*) AS support,
+    AVG("release_year") AS avg_response
+FROM "c17"
+GROUP BY "show_id"
+HAVING COUNT(*) >= 5.0
+ORDER BY support DESC, avg_response DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_69ea826f95ed77a0/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: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_c17_69ea826f95ed77a0\n-- problem_id: v2p_c17_da345897263d1301\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"show_id\",\n    COUNT(*) AS support,\n    AVG(\"release_year\") AS avg_response\nFROM \"c17\"\nGROUP BY \"show_id\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "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: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_c17_69ea826f95ed77a0\\n-- problem_id: v2p_c17_da345897263d1301\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"show_id\\\",\\n    COUNT(*) AS support,\\n    AVG(\\\"release_year\\\") AS avg_response\\nFROM \\\"c17\\\"\\nGROUP BY \\\"show_id\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"show_id\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.08}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_69ea826f95ed77a0/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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6f776119515cac22/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"total_rows": 8807, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6f776119515cac22/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: missingness_structure
+-- canonical_subitem_id: marginal_missing_rate_consistency
+-- intended_facet_id: missing_indicator_distribution
+-- variant_semantic_role: missing_indicator_view
+-- template_id: tpl_missing_marginal_rate_profile
+-- query_record_id: v2q_c17_6f776119515cac22
+-- problem_id: v2p_c17_cf5cd05211efefb7
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "country" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "country" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "c17";

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6f776119515cac22/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: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_c17_6f776119515cac22\n-- problem_id: v2p_c17_cf5cd05211efefb7\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"country\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"country\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c17\";", "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: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_c17_6f776119515cac22\\n-- problem_id: v2p_c17_cf5cd05211efefb7\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"country\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"country\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c17\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 8807, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.39}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6f776119515cac22/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:03:15.303847+00:00",
+  "ended_at": "2026-05-19T16:03:15.306908+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_6f776119515cac22",
+    "problem_id": "v2p_c17_cf5cd05211efefb7",
+    "dataset_id": "c17",
+    "template_id": "tpl_missing_marginal_rate_profile",
+    "template_name": "Marginal Missing Rate Profile",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "marginal_missing_rate_consistency",
+    "intended_facet_id": "missing_indicator_distribution",
+    "variant_semantic_role": "missing_indicator_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=country.",
+    "bindings": {
+      "missing_col": "country"
+    },
+    "binding_roles": [
+      "missing_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};",
+    "notes": [
+      "default_facets=missing_indicator_distribution",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 3,
+    "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_6f776119515cac22.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_6f776119515cac22/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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ae8e82cd947f4842/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_ae8e82cd947f4842/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_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_c17_ae8e82cd947f4842
+-- problem_id: v2p_c17_166c753a626c69e4
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "release_year", SUM(CAST("release_year" AS NUMERIC)) AS total_measure
+FROM "c17"
+GROUP BY "release_year"
+ORDER BY total_measure DESC;