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Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_469f1b34a4b946a6/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=rating, measure_col=release_year.
+Result preview: [{"rating": "UR", "duration": "103 min", "total_measure": 3990.0, "share_within_group": 66.52217405801935}, {"rating": "UR", "duration": "113 min", "total_measure": 2008.0, "share_within_group": 33.47782594198066}, {"rating": "NC-17", "duration": "83 min", "total_measure": 2018.0, "share_within_group": 33.38296112489661}, {"rating": "NC-17", "duration": "112 min", "total_measure": 2014.0, "share_within_group": 33.31679073614558}, {"rating": "NC-17", "duration": "180 min", "total_measure": 2013.0, "share_within_group": 33.30024813895782}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_469f1b34a4b946a6/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: 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_469f1b34a4b946a6
+-- problem_id: v2p_c17_ab2c2bc2b1f32348
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "rating",
+  "duration",
+  SUM(CAST("release_year" AS REAL)) AS total_measure,
+  SUM(CAST("release_year" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("release_year" AS REAL))) OVER (PARTITION BY "rating"), 0) AS share_within_group
+FROM "c17"
+WHERE TRIM(COALESCE("rating", '')) <> ''
+  AND TRIM(COALESCE("duration", '')) <> ''
+  AND TRIM(COALESCE("release_year", '')) <> ''
+GROUP BY "rating", "duration"
+ORDER BY share_within_group DESC
+LIMIT 16;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_469f1b34a4b946a6/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  \"rating\",\n  \"duration\",\n  SUM(CAST(\"release_year\" AS REAL)) AS total_measure,\n  SUM(CAST(\"release_year\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"release_year\" AS REAL))) OVER (PARTITION BY \"rating\"), 0) AS share_within_group\nFROM \"c17\"\nWHERE TRIM(COALESCE(\"rating\", '')) <> ''\n  AND TRIM(COALESCE(\"duration\", '')) <> ''\n  AND TRIM(COALESCE(\"release_year\", '')) <> ''\nGROUP BY \"rating\", \"duration\"\nORDER BY share_within_group DESC\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"rating\\\",\\n  \\\"duration\\\",\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"rating\\\"), 0) AS share_within_group\\nFROM \\\"c17\\\"\\nWHERE TRIM(COALESCE(\\\"rating\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"duration\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"release_year\\\", '')) <> ''\\nGROUP BY \\\"rating\\\", \\\"duration\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\", \"columns\": [\"rating\", \"duration\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"rating\": \"UR\", \"duration\": \"103 min\", \"total_measure\": 3990.0, \"share_within_group\": 66.52217405801935}, {\"rating\": \"UR\", \"duration\": \"113 min\", \"total_measure\": 2008.0, \"share_within_group\": 33.47782594198066}, {\"rating\": \"NC-17\", \"duration\": \"83 min\", \"total_measure\": 2018.0, \"share_within_group\": 33.38296112489661}, {\"rating\": \"NC-17\", \"duration\": \"112 min\", \"total_measure\": 2014.0, \"share_within_group\": 33.31679073614558}, {\"rating\": \"NC-17\", \"duration\": \"180 min\", \"total_measure\": 2013.0, \"share_within_group\": 33.30024813895782}, {\"rating\": \"TV-Y\", \"duration\": \"1 Season\", \"total_measure\": 181495.0, \"share_within_group\": 29.30798943268504}, {\"rating\": \"TV-Y7\", \"duration\": \"1 Season\", \"total_measure\": 189292.0, \"share_within_group\": 28.119076621408837}, {\"rating\": \"TV-PG\", \"duration\": \"1 Season\", \"total_measure\": 481750.0, \"share_within_group\": 27.723810422656467}, {\"rating\": \"TV-G\", \"duration\": \"1 Season\", \"total_measure\": 114887.0, \"share_within_group\": 25.90672523587033}, {\"rating\": \"TV-14\", \"duration\": \"1 Season\", \"total_measure\": 1076486.0, \"share_within_group\": 24.749672145922194}, {\"rating\": \"TV-MA\", \"duration\": \"1 Season\", \"total_measure\": 1557739.0, \"share_within_group\": 24.085889396010845}, {\"rating\": \"TV-Y\", \"duration\": \"2 Seasons\", \"total_measure\": 108935.0, \"share_within_group\": 17.590929936634865}, {\"rating\": \"G\", \"duration\": \"78 min\", \"total_measure\": 14069.0, \"share_within_group\": 17.176168965938224}, {\"rating\": \"TV-Y7\", \"duration\": \"2 Seasons\", \"total_measure\": 112933.0, \"share_within_group\": 16.776048010933184}, {\"rating\": \"TV-Y7-FV\", \"duration\": \"68 min\", \"total_measure\": 2018.0, \"share_within_group\": 16.69286127884854}, {\"rating\": \"TV-Y7-FV\", \"duration\": \"109 min\", \"total_measure\": 2016.0, \"share_within_group\": 16.67631731325999}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 26.37}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_469f1b34a4b946a6/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:34:14.957752+00:00",
+  "ended_at": "2026-05-19T15:34:29.939865+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_469f1b34a4b946a6",
+    "problem_id": "v2p_c17_ab2c2bc2b1f32348",
+    "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=rating, measure_col=release_year.",
+    "bindings": {
+      "group_col": "rating",
+      "measure_col": "release_year",
+      "item_col": "duration",
+      "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": 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=3",
+      "sql_variant_index=2/2",
+      "binding_index=26"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 3,
+    "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_469f1b34a4b946a6.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_469f1b34a4b946a6",
+    "api_calls": 0,
+    "input_tokens": 14762,
+    "cached_input_tokens": 12032,
+    "output_tokens": 751,
+    "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": 14947.33,
+    "sql_execution_elapsed_ms_total": 26.37,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_469f1b34a4b946a6/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_469f1b34a4b946a6/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_469f1b34a4b946a6",
+  "api_calls": 0,
+  "input_tokens": 14762,
+  "cached_input_tokens": 12032,
+  "output_tokens": 751,
+  "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": 14947.33,
+  "sql_execution_elapsed_ms_total": 26.37,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_469f1b34a4b946a6/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_6b74b3ff9ec621e7/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=rating, condition_col=type.
+Result preview: [{"rating": "PG-13", "condition_rate": 1.0}, {"rating": "PG", "condition_rate": 1.0}, {"rating": "G", "condition_rate": 1.0}, {"rating": "R", "condition_rate": 0.9974968710888611}, {"rating": "NR", "condition_rate": 0.9375}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6b74b3ff9ec621e7/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:54:48.850286+00:00",
+  "ended_at": "2026-05-19T15:55:06.654718+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_6b74b3ff9ec621e7",
+    "problem_id": "v2p_c17_feb55879f52cec97",
+    "dataset_id": "c17",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=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": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=98"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_6b74b3ff9ec621e7.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_6b74b3ff9ec621e7",
+    "api_calls": 0,
+    "input_tokens": 14706,
+    "cached_input_tokens": 12032,
+    "output_tokens": 627,
+    "total_tokens": 15333,
+    "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": 16790.9,
+    "sql_execution_elapsed_ms_total": 5.7,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6b74b3ff9ec621e7/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_6b74b3ff9ec621e7/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:54:51.975689+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": 3121.17, "started_at": "2026-05-19T15:54:48.853739+00:00", "ended_at": "2026-05-19T15:54:51.974940+00:00", "prompt_metrics": {"chars": 9422, "bytes_utf8": 9424, "lines": 243, "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\":\"019e40f2-69a5-7972-9d76-cfe793687b55\"}\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": "2026-05-19T15:55:06.647687+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": 13669.73, "started_at": "2026-05-19T15:54:52.977171+00:00", "ended_at": "2026-05-19T15:55:06.646942+00:00", "prompt_metrics": {"chars": 9422, "bytes_utf8": 9424, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 392, "bytes_utf8": 392, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14706, "cached_input_tokens": 12032, "output_tokens": 627, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"rating\\\",\\n       AVG(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the within-rating proportion of rows where \\\"type\\\" is 'Movie', grouped by \\\"rating\\\", and applies the bound minimum group size of 5.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6be4b859467786df/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=rating, condition_col=type.
+Result preview: [{"rating": "TV-Y7", "condition_rate": 0.5838323353293413}, {"rating": "TV-Y", "condition_rate": 0.5732899022801303}, {"rating": "", "condition_rate": 0.5}, {"rating": "TV-G", "condition_rate": 0.42727272727272725}, {"rating": "TV-PG", "condition_rate": 0.3742757821552723}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6be4b859467786df/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: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_c17_6be4b859467786df
+-- problem_id: v2p_c17_fd26390675763eaa
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "rating",
+       AVG(CASE WHEN "type" = 'TV Show' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "c17"
+GROUP BY "rating"
+ORDER BY "condition_rate" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6be4b859467786df/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate.\nSELECT \"rating\",\n       AVG(CASE WHEN \"type\" = 'TV Show' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"rating\\\",\\n       AVG(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"rating\", \"condition_rate\"], \"rows\": [{\"rating\": \"TV-Y7\", \"condition_rate\": 0.5838323353293413}, {\"rating\": \"TV-Y\", \"condition_rate\": 0.5732899022801303}, {\"rating\": \"\", \"condition_rate\": 0.5}, {\"rating\": \"TV-G\", \"condition_rate\": 0.42727272727272725}, {\"rating\": \"TV-PG\", \"condition_rate\": 0.3742757821552723}, {\"rating\": \"TV-MA\", \"condition_rate\": 0.35703149360773306}, {\"rating\": \"TV-14\", \"condition_rate\": 0.33935185185185185}, {\"rating\": \"TV-Y7-FV\", \"condition_rate\": 0.16666666666666666}, {\"rating\": \"NR\", \"condition_rate\": 0.0625}, {\"rating\": \"R\", \"condition_rate\": 0.0025031289111389237}, {\"rating\": \"UR\", \"condition_rate\": 0.0}, {\"rating\": \"PG-13\", \"condition_rate\": 0.0}, {\"rating\": \"PG\", \"condition_rate\": 0.0}, {\"rating\": \"NC-17\", \"condition_rate\": 0.0}, {\"rating\": \"G\", \"condition_rate\": 0.0}, {\"rating\": \"84 min\", \"condition_rate\": 0.0}, {\"rating\": \"74 min\", \"condition_rate\": 0.0}, {\"rating\": \"66 min\", \"condition_rate\": 0.0}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.27}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6be4b859467786df/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:56:26.992763+00:00",
+  "ended_at": "2026-05-19T15:56:38.983110+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_6be4b859467786df",
+    "problem_id": "v2p_c17_fd26390675763eaa",
+    "dataset_id": "c17",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=rating, condition_col=type.",
+    "bindings": {
+      "group_col": "rating",
+      "condition_col": "type",
+      "condition_value": "TV Show",
+      "positive_value": "Movie",
+      "negative_value": "TV Show",
+      "top_k": 17,
+      "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",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=2/2",
+      "binding_index=102"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "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_6be4b859467786df.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_6be4b859467786df",
+    "api_calls": 0,
+    "input_tokens": 14706,
+    "cached_input_tokens": 13696,
+    "output_tokens": 464,
+    "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": 11975.27,
+    "sql_execution_elapsed_ms_total": 6.27,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6be4b859467786df/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_6be4b859467786df/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:56:38.975226+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": 11975.27, "started_at": "2026-05-19T15:56:26.998907+00:00", "ended_at": "2026-05-19T15:56:38.974220+00:00", "prompt_metrics": {"chars": 9421, "bytes_utf8": 9423, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 413, "bytes_utf8": 413, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14706, "cached_input_tokens": 13696, "output_tokens": 464, "reasoning_output_tokens": 350}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"rating\\\",\\n       AVG(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applies the Grouped Condition Rate template with group_col=\\\"rating\\\" and condition_col=\\\"type\\\", measuring the share of rows where type = 'TV Show' within each rating group.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6be4b859467786df/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_6be4b859467786df",
+  "api_calls": 0,
+  "input_tokens": 14706,
+  "cached_input_tokens": 13696,
+  "output_tokens": 464,
+  "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": 11975.27,
+  "sql_execution_elapsed_ms_total": 6.27,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6be4b859467786df/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_da60b59d75e20028/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=release_year, measure_col=release_year.
+Result preview: [{"release_year": "2018", "group_value": 2314646.0}, {"release_year": "2017", "group_value": 2081544.0}, {"release_year": "2019", "group_value": 2079570.0}, {"release_year": "2020", "group_value": 1925060.0}, {"release_year": "2016", "group_value": 1818432.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da60b59d75e20028/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: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_c17_da60b59d75e20028
+-- problem_id: v2p_c17_62c280bdd21e9947
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "release_year", SUM(CAST("release_year" AS REAL)) AS group_value
+    FROM "c17"
+    WHERE "release_year" IS NOT NULL
+      AND TRIM("release_year") <> ''
+    GROUP BY "release_year"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."release_year", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.1
+ORDER BY g.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da60b59d75e20028/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"release_year\", SUM(CAST(\"release_year\" AS REAL)) AS group_value\n    FROM \"c17\"\n    WHERE \"release_year\" IS NOT NULL\n      AND TRIM(\"release_year\") <> ''\n    GROUP BY \"release_year\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"release_year\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"release_year\\\", SUM(CAST(\\\"release_year\\\" AS REAL)) AS group_value\\n    FROM \\\"c17\\\"\\n    WHERE \\\"release_year\\\" IS NOT NULL\\n      AND TRIM(\\\"release_year\\\") <> ''\\n    GROUP BY \\\"release_year\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"release_year\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"release_year\", \"group_value\"], \"rows\": [{\"release_year\": \"2018\", \"group_value\": 2314646.0}, {\"release_year\": \"2017\", \"group_value\": 2081544.0}, {\"release_year\": \"2019\", \"group_value\": 2079570.0}, {\"release_year\": \"2020\", \"group_value\": 1925060.0}, {\"release_year\": \"2016\", \"group_value\": 1818432.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.24}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da60b59d75e20028/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:45:30.205501+00:00",
+  "ended_at": "2026-05-19T15:45:46.750753+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_da60b59d75e20028",
+    "problem_id": "v2p_c17_62c280bdd21e9947",
+    "dataset_id": "c17",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=release_year, measure_col=release_year.",
+    "bindings": {
+      "group_col": "release_year",
+      "measure_col": "release_year",
+      "top_k": 12,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 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": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=1/2",
+      "binding_index=77"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_da60b59d75e20028.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_da60b59d75e20028",
+    "api_calls": 0,
+    "input_tokens": 14785,
+    "cached_input_tokens": 12032,
+    "output_tokens": 861,
+    "total_tokens": 15646,
+    "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": 16533.2,
+    "sql_execution_elapsed_ms_total": 6.24,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da60b59d75e20028/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_da60b59d75e20028/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:45:46.743129+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": 16533.2, "started_at": "2026-05-19T15:45:30.208835+00:00", "ended_at": "2026-05-19T15:45:46.742063+00:00", "prompt_metrics": {"chars": 9741, "bytes_utf8": 9743, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 778, "bytes_utf8": 778, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14785, "cached_input_tokens": 12032, "output_tokens": 861, "reasoning_output_tokens": 662}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"release_year\\\", SUM(CAST(\\\"release_year\\\" AS REAL)) AS group_value\\n    FROM \\\"c17\\\"\\n    WHERE \\\"release_year\\\" IS NOT NULL\\n      AND TRIM(\\\"release_year\\\") <> ''\\n    GROUP BY \\\"release_year\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"release_year\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the planned Relative-to-Total Extreme Threshold template with \\\"release_year\\\" bound as both group and measure. \\\"release_year\\\" is cast from TEXT to REAL for SQLite aggregation, and null/blank years are filtered to keep the view stable.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da60b59d75e20028/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_da60b59d75e20028",
+  "api_calls": 0,
+  "input_tokens": 14785,
+  "cached_input_tokens": 12032,
+  "output_tokens": 861,
+  "total_tokens": 15646,
+  "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": 16533.2,
+  "sql_execution_elapsed_ms_total": 6.24,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da60b59d75e20028/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}