Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/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=region_2, condition_col=country.
+Result preview: [{"region_2": "", "condition_rate": 0.07162094135414045}, {"region_2": "Willamette Valley", "condition_rate": 0.0}, {"region_2": "Washington Other", "condition_rate": 0.0}, {"region_2": "Southern Oregon", "condition_rate": 0.0}, {"region_2": "South Coast", "condition_rate": 0.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c18
+-- 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_c18_021918a0c8242b2a
+-- problem_id: v2p_c18_4d00fa0d0d6b4a3f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "region_2",
+       AVG(CASE WHEN "country" = 'Portugal' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "c18"
+GROUP BY "region_2"
+ORDER BY "condition_rate" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/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 \"region_2\",\n       AVG(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c18\"\nGROUP BY \"region_2\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"region_2\\\",\\n       AVG(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"region_2\", \"condition_rate\"], \"rows\": [{\"region_2\": \"\", \"condition_rate\": 0.07162094135414045}, {\"region_2\": \"Willamette Valley\", \"condition_rate\": 0.0}, {\"region_2\": \"Washington Other\", \"condition_rate\": 0.0}, {\"region_2\": \"Southern Oregon\", \"condition_rate\": 0.0}, {\"region_2\": \"South Coast\", \"condition_rate\": 0.0}, {\"region_2\": \"Sonoma\", \"condition_rate\": 0.0}, {\"region_2\": \"Sierra Foothills\", \"condition_rate\": 0.0}, {\"region_2\": \"Oregon Other\", \"condition_rate\": 0.0}, {\"region_2\": \"North Coast\", \"condition_rate\": 0.0}, {\"region_2\": \"New York Other\", \"condition_rate\": 0.0}, {\"region_2\": \"Napa-Sonoma\", \"condition_rate\": 0.0}, {\"region_2\": \"Napa\", \"condition_rate\": 0.0}, {\"region_2\": \"Long Island\", \"condition_rate\": 0.0}, {\"region_2\": \"Finger Lakes\", \"condition_rate\": 0.0}, {\"region_2\": \"Columbia Valley\", \"condition_rate\": 0.0}, {\"region_2\": \"Central Valley\", \"condition_rate\": 0.0}, {\"region_2\": \"Central Coast\", \"condition_rate\": 0.0}, {\"region_2\": \"California Other\", \"condition_rate\": 0.0}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 78.0}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c18",
+  "started_at": "2026-05-19T16:02:29.938522+00:00",
+  "ended_at": "2026-05-19T16:02:40.615953+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c18_021918a0c8242b2a",
+    "problem_id": "v2p_c18_4d00fa0d0d6b4a3f",
+    "dataset_id": "c18",
+    "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=region_2, condition_col=country.",
+    "bindings": {
+      "group_col": "region_2",
+      "condition_col": "country",
+      "condition_value": "Portugal",
+      "positive_value": "US",
+      "negative_value": "Portugal",
+      "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": 56702.0,
+      "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_d/c18/sql/v2q_c18_021918a0c8242b2a.sql",
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_021918a0c8242b2a",
+    "api_calls": 0,
+    "input_tokens": 14909,
+    "cached_input_tokens": 13696,
+    "output_tokens": 457,
+    "total_tokens": 15366,
+    "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": 10576.79,
+    "sql_execution_elapsed_ms_total": 78.0,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:02:40.536236+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": 10576.79, "started_at": "2026-05-19T16:02:29.958646+00:00", "ended_at": "2026-05-19T16:02:40.535462+00:00", "prompt_metrics": {"chars": 10159, "bytes_utf8": 10163, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 344, "bytes_utf8": 344, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14909, "cached_input_tokens": 13696, "output_tokens": 457, "reasoning_output_tokens": 357}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"region_2\\\",\\n       AVG(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c18\\\"\\nGROUP BY \\\"region_2\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped condition rate by \\\"region_2\\\", measuring the share of rows where \\\"country\\\" is Portugal.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c18",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c18_021918a0c8242b2a",
+  "api_calls": 0,
+  "input_tokens": 14909,
+  "cached_input_tokens": 13696,
+  "output_tokens": 457,
+  "total_tokens": 15366,
+  "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": 10576.79,
+  "sql_execution_elapsed_ms_total": 78.0,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_021918a0c8242b2a/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/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=taster_twitter_handle, condition_col=country.
+Result preview: [{"taster_twitter_handle": "", "condition_ratio": 3952.6}, {"taster_twitter_handle": "@laurbuzz", "condition_ratio": 19.0}, {"taster_twitter_handle": "@wineschach", "condition_ratio": 7.888888888888889}, {"taster_twitter_handle": "@JoeCz", "condition_ratio": 5.722222222222222}, {"taster_twitter_handle": "@vossroger", "condition_ratio": 0.0003534817956875221}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/generated_sql.sql

@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c18
+-- 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_c18_056bac9afcbf36a8
+-- problem_id: v2p_c18_9d74d3d056a81a5a
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "taster_twitter_handle",
+           SUM(CASE WHEN "country" = 'US' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "country" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "c18"
+    GROUP BY "taster_twitter_handle"
+)
+SELECT "taster_twitter_handle",
+       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_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/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 \"taster_twitter_handle\",\n           SUM(CASE WHEN \"country\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"country\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"c18\"\n    GROUP BY \"taster_twitter_handle\"\n)\nSELECT \"taster_twitter_handle\",\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 \\\"taster_twitter_handle\\\",\\n           SUM(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c18\\\"\\n    GROUP BY \\\"taster_twitter_handle\\\"\\n)\\nSELECT \\\"taster_twitter_handle\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"taster_twitter_handle\", \"condition_ratio\"], \"rows\": [{\"taster_twitter_handle\": \"\", \"condition_ratio\": 3952.6}, {\"taster_twitter_handle\": \"@laurbuzz\", \"condition_ratio\": 19.0}, {\"taster_twitter_handle\": \"@wineschach\", \"condition_ratio\": 7.888888888888889}, {\"taster_twitter_handle\": \"@JoeCz\", \"condition_ratio\": 5.722222222222222}, {\"taster_twitter_handle\": \"@vossroger\", \"condition_ratio\": 0.0003534817956875221}, {\"taster_twitter_handle\": \"@AnneInVino\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@bkfiona\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@gordone_cellars\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@kerinokeefe\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@mattkettmann\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@paulgwine\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@suskostrzewa\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@vboone\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@wawinereport\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@winewchristina\", \"condition_ratio\": null}, {\"taster_twitter_handle\": \"@worldwineguys\", \"condition_ratio\": null}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 91.45}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c18",
+  "started_at": "2026-05-19T15:42:22.293154+00:00",
+  "ended_at": "2026-05-19T15:42:48.117567+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c18_056bac9afcbf36a8",
+    "problem_id": "v2p_c18_9d74d3d056a81a5a",
+    "dataset_id": "c18",
+    "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=taster_twitter_handle, condition_col=country.",
+    "bindings": {
+      "group_col": "taster_twitter_handle",
+      "condition_col": "country",
+      "condition_value": "US",
+      "positive_value": "US",
+      "negative_value": "Portugal",
+      "top_k": 14,
+      "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": 56702.0,
+      "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=4",
+      "sql_variant_index=1/1",
+      "binding_index=39"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "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_d/c18/sql/v2q_c18_056bac9afcbf36a8.sql",
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_056bac9afcbf36a8",
+    "api_calls": 0,
+    "input_tokens": 15060,
+    "cached_input_tokens": 13696,
+    "output_tokens": 702,
+    "total_tokens": 15762,
+    "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": 25710.0,
+    "sql_execution_elapsed_ms_total": 91.45,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:42:48.024370+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": 25710.0, "started_at": "2026-05-19T15:42:22.313433+00:00", "ended_at": "2026-05-19T15:42:48.023462+00:00", "prompt_metrics": {"chars": 10737, "bytes_utf8": 10741, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 715, "bytes_utf8": 715, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 13696, "output_tokens": 702, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"taster_twitter_handle\\\",\\n           SUM(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c18\\\"\\n    GROUP BY \\\"taster_twitter_handle\\\"\\n)\\nSELECT \\\"taster_twitter_handle\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the requested grouped ratio template with group_col=\\\"taster_twitter_handle\\\" and condition_col=\\\"country\\\", computing US-to-Portugal row-count ratio per taster Twitter handle.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c18",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c18_056bac9afcbf36a8",
+  "api_calls": 0,
+  "input_tokens": 15060,
+  "cached_input_tokens": 13696,
+  "output_tokens": 702,
+  "total_tokens": 15762,
+  "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": 25710.0,
+  "sql_execution_elapsed_ms_total": 91.45,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_056bac9afcbf36a8/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_066fb9989a59e992/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"taster_name": "", "total_rows": 26244, "missing_rows": 0, "missing_rate": 0.0}, {"taster_name": "Roger Voss", "total_rows": 25514, "missing_rows": 0, "missing_rate": 0.0}, {"taster_name": "Michael Schachner", "total_rows": 15134, "missing_rows": 0, "missing_rate": 0.0}, {"taster_name": "Kerin O’Keefe", "total_rows": 10776, "missing_rows": 0, "missing_rate": 0.0}, {"taster_name": "Virginie Boone", "total_rows": 9537, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_066fb9989a59e992/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c18
+-- 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_c18_066fb9989a59e992
+-- problem_id: v2p_c18_5eee68cc48243a85
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "taster_name",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "province" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "province" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "c18"
+GROUP BY "taster_name"
+ORDER BY missing_rate DESC, total_rows DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_066fb9989a59e992/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_d\n-- sql_source_dataset_id: c18\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_c18_066fb9989a59e992\n-- problem_id: v2p_c18_5eee68cc48243a85\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"taster_name\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"province\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"province\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c18\"\nGROUP BY \"taster_name\"\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_d\\n-- sql_source_dataset_id: c18\\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_c18_066fb9989a59e992\\n-- problem_id: v2p_c18_5eee68cc48243a85\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"taster_name\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"province\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"province\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_name\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"taster_name\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"taster_name\": \"\", \"total_rows\": 26244, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Roger Voss\", \"total_rows\": 25514, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Michael Schachner\", \"total_rows\": 15134, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Kerin O’Keefe\", \"total_rows\": 10776, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Virginie Boone\", \"total_rows\": 9537, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Paul Gregutt\", \"total_rows\": 9532, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Matt Kettmann\", \"total_rows\": 6332, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Joe Czerwinski\", \"total_rows\": 5147, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Sean P. Sullivan\", \"total_rows\": 4966, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Anna Lee C. Iijima\", \"total_rows\": 4415, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Jim Gordon\", \"total_rows\": 4177, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Anne Krebiehl MW\", \"total_rows\": 3685, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Lauren Buzzeo\", \"total_rows\": 1835, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Susan Kostrzewa\", \"total_rows\": 1085, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Mike DeSimone\", \"total_rows\": 514, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Jeff Jenssen\", \"total_rows\": 491, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Alexander Peartree\", \"total_rows\": 415, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Carrie Dykes\", \"total_rows\": 139, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Fiona Adams\", \"total_rows\": 27, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_name\": \"Christina Pickard\", \"total_rows\": 6, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 89.59}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_066fb9989a59e992/run_manifest.json

@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c18",
+  "started_at": "2026-05-19T16:08:24.021586+00:00",
+  "ended_at": "2026-05-19T16:08:24.112356+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c18_066fb9989a59e992",
+    "problem_id": "v2p_c18_5eee68cc48243a85",
+    "dataset_id": "c18",
+    "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=taster_name, missing_col=province.",
+    "bindings": {
+      "missing_col": "province",
+      "group_col": "taster_name"
+    },
+    "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=6",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 6,
+    "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_d/c18/sql/v2q_c18_066fb9989a59e992.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_d/c18/artifacts/v2q_c18_066fb9989a59e992/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_d/c18/artifacts/v2q_c18_0707b540125b7c00/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=points.
+Result preview: [{"points": "100", "support": 19}, {"points": "99", "support": 33}, {"points": "98", "support": 77}, {"points": "97", "support": 229}, {"points": "80", "support": 397}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c18
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_c18_0707b540125b7c00
+-- problem_id: v2p_c18_311345f9ad92e2df
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "points",
+    COUNT(*) AS support
+FROM "c18"
+GROUP BY "points"
+ORDER BY support ASC, "points"
+LIMIT 15;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"points\",\n    COUNT(*) AS support\nFROM \"c18\"\nGROUP BY \"points\"\nORDER BY support ASC, \"points\"\nLIMIT 15;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"points\\\",\\n    COUNT(*) AS support\\nFROM \\\"c18\\\"\\nGROUP BY \\\"points\\\"\\nORDER BY support ASC, \\\"points\\\"\\nLIMIT 15;\", \"columns\": [\"points\", \"support\"], \"rows\": [{\"points\": \"100\", \"support\": 19}, {\"points\": \"99\", \"support\": 33}, {\"points\": \"98\", \"support\": 77}, {\"points\": \"97\", \"support\": 229}, {\"points\": \"80\", \"support\": 397}, {\"points\": \"96\", \"support\": 523}, {\"points\": \"81\", \"support\": 692}, {\"points\": \"95\", \"support\": 1535}, {\"points\": \"82\", \"support\": 1836}, {\"points\": \"83\", \"support\": 3025}, {\"points\": \"94\", \"support\": 3758}, {\"points\": \"84\", \"support\": 6480}, {\"points\": \"93\", \"support\": 6489}, {\"points\": \"85\", \"support\": 9530}, {\"points\": \"92\", \"support\": 9613}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 61.48}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c18",
+  "started_at": "2026-05-19T16:04:15.800217+00:00",
+  "ended_at": "2026-05-19T16:04:23.267932+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c18_0707b540125b7c00",
+    "problem_id": "v2p_c18_311345f9ad92e2df",
+    "dataset_id": "c18",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=points.",
+    "bindings": {
+      "group_col": "points",
+      "top_k": 15,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 56702.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=2/2",
+      "binding_index=120"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 1,
+    "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_d/c18/sql/v2q_c18_0707b540125b7c00.sql",
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_0707b540125b7c00",
+    "api_calls": 0,
+    "input_tokens": 14855,
+    "cached_input_tokens": 12288,
+    "output_tokens": 239,
+    "total_tokens": 15094,
+    "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": 7381.63,
+    "sql_execution_elapsed_ms_total": 61.48,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:04:23.204601+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": 7381.63, "started_at": "2026-05-19T16:04:15.822180+00:00", "ended_at": "2026-05-19T16:04:23.203836+00:00", "prompt_metrics": {"chars": 9886, "bytes_utf8": 9890, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 357, "bytes_utf8": 357, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14855, "cached_input_tokens": 12288, "output_tokens": 239, "reasoning_output_tokens": 140}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"points\\\",\\n    COUNT(*) AS support\\nFROM \\\"c18\\\"\\nGROUP BY \\\"points\\\"\\nORDER BY support ASC, \\\"points\\\"\\nLIMIT 15;\",\"notes\":\"Instantiated the Low-Support Group Count template with group_col=\\\"points\\\" and top_k=15, using only the single table \\\"c18\\\" and SQLite-compatible syntax.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c18",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c18_0707b540125b7c00",
+  "api_calls": 0,
+  "input_tokens": 14855,
+  "cached_input_tokens": 12288,
+  "output_tokens": 239,
+  "total_tokens": 15094,
+  "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": 7381.63,
+  "sql_execution_elapsed_ms_total": 61.48,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0707b540125b7c00/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_077cedc38a75291f/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"taster_twitter_handle": "", "total_rows": 31213, "missing_rows": 0, "missing_rate": 0.0}, {"taster_twitter_handle": "@vossroger", "total_rows": 25514, "missing_rows": 0, "missing_rate": 0.0}, {"taster_twitter_handle": "@wineschach", "total_rows": 15134, "missing_rows": 0, "missing_rate": 0.0}, {"taster_twitter_handle": "@kerinokeefe", "total_rows": 10776, "missing_rows": 0, "missing_rate": 0.0}, {"taster_twitter_handle": "@vboone", "total_rows": 9537, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_077cedc38a75291f/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c18
+-- 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_c18_077cedc38a75291f
+-- problem_id: v2p_c18_8afeafcde403a2dc
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "taster_twitter_handle",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "region_1" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "region_1" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "c18"
+GROUP BY "taster_twitter_handle"
+ORDER BY missing_rate DESC, total_rows DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_077cedc38a75291f/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_d\n-- sql_source_dataset_id: c18\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_c18_077cedc38a75291f\n-- problem_id: v2p_c18_8afeafcde403a2dc\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"taster_twitter_handle\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"region_1\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"region_1\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c18\"\nGROUP BY \"taster_twitter_handle\"\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_d\\n-- sql_source_dataset_id: c18\\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_c18_077cedc38a75291f\\n-- problem_id: v2p_c18_8afeafcde403a2dc\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"taster_twitter_handle\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"region_1\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"region_1\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c18\\\"\\nGROUP BY \\\"taster_twitter_handle\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"taster_twitter_handle\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"taster_twitter_handle\": \"\", \"total_rows\": 31213, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@vossroger\", \"total_rows\": 25514, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@wineschach\", \"total_rows\": 15134, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@kerinokeefe\", \"total_rows\": 10776, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@vboone\", \"total_rows\": 9537, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@paulgwine\", \"total_rows\": 9532, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@mattkettmann\", \"total_rows\": 6332, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@JoeCz\", \"total_rows\": 5147, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@wawinereport\", \"total_rows\": 4966, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@gordone_cellars\", \"total_rows\": 4177, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@AnneInVino\", \"total_rows\": 3685, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@laurbuzz\", \"total_rows\": 1835, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@suskostrzewa\", \"total_rows\": 1085, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@worldwineguys\", \"total_rows\": 1005, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@bkfiona\", \"total_rows\": 27, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"taster_twitter_handle\": \"@winewchristina\", \"total_rows\": 6, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 91.79}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_077cedc38a75291f/run_manifest.json

@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c18",
+  "started_at": "2026-05-19T16:08:24.213643+00:00",
+  "ended_at": "2026-05-19T16:08:24.306551+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c18_077cedc38a75291f",
+    "problem_id": "v2p_c18_8afeafcde403a2dc",
+    "dataset_id": "c18",
+    "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=taster_twitter_handle, missing_col=region_1.",
+    "bindings": {
+      "missing_col": "region_1",
+      "group_col": "taster_twitter_handle"
+    },
+    "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=8",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/sql/v2q_c18_077cedc38a75291f.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_d/c18/artifacts/v2q_c18_077cedc38a75291f/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_d/c18/artifacts/v2q_c18_085778c98281b6b1/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=row_id.
+Result preview: [{"row_id": "129970"}, {"row_id": "129969"}, {"row_id": "129968"}, {"row_id": "129967"}, {"row_id": "129966"}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/generated_sql.sql

@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c18
+-- 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_m4_quantile_tail_slice
+-- query_record_id: v2q_c18_085778c98281b6b1
+-- problem_id: v2p_c18_53a1ffdaa405c85c
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+    SELECT
+        "row_id",
+        NTILE(10) OVER (ORDER BY CAST("row_id" AS INTEGER) DESC) AS "tail_bucket"
+    FROM "c18"
+    WHERE "row_id" IS NOT NULL AND TRIM("row_id") <> ''
+)
+SELECT "row_id"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY CAST("row_id" AS INTEGER) DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/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_quantile_tail_slice\nWITH \"buckets\" AS (\n    SELECT\n        \"row_id\",\n        NTILE(10) OVER (ORDER BY CAST(\"row_id\" AS INTEGER) DESC) AS \"tail_bucket\"\n    FROM \"c18\"\n    WHERE \"row_id\" IS NOT NULL AND TRIM(\"row_id\") <> ''\n)\nSELECT \"row_id\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"row_id\" AS INTEGER) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n    SELECT\\n        \\\"row_id\\\",\\n        NTILE(10) OVER (ORDER BY CAST(\\\"row_id\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"c18\\\"\\n    WHERE \\\"row_id\\\" IS NOT NULL AND TRIM(\\\"row_id\\\") <> ''\\n)\\nSELECT \\\"row_id\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"row_id\\\" AS INTEGER) DESC;\", \"columns\": [\"row_id\"], \"rows\": [{\"row_id\": \"129970\"}, {\"row_id\": \"129969\"}, {\"row_id\": \"129968\"}, {\"row_id\": \"129967\"}, {\"row_id\": \"129966\"}, {\"row_id\": \"129965\"}, {\"row_id\": \"129964\"}, {\"row_id\": \"129963\"}, {\"row_id\": \"129962\"}, {\"row_id\": \"129961\"}, {\"row_id\": \"129960\"}, {\"row_id\": \"129959\"}, {\"row_id\": \"129958\"}, {\"row_id\": \"129957\"}, {\"row_id\": \"129956\"}, {\"row_id\": \"129955\"}, {\"row_id\": \"129954\"}, {\"row_id\": \"129953\"}, {\"row_id\": \"129952\"}, {\"row_id\": \"129951\"}, {\"row_id\": \"129950\"}, {\"row_id\": \"129949\"}, {\"row_id\": \"129948\"}, {\"row_id\": \"129947\"}, {\"row_id\": \"129946\"}, {\"row_id\": \"129945\"}, {\"row_id\": \"129944\"}, {\"row_id\": \"129943\"}, {\"row_id\": \"129942\"}, {\"row_id\": \"129941\"}, {\"row_id\": \"129940\"}, {\"row_id\": \"129939\"}, {\"row_id\": \"129938\"}, {\"row_id\": \"129937\"}, {\"row_id\": \"129936\"}, {\"row_id\": \"129935\"}, {\"row_id\": \"129934\"}, {\"row_id\": \"129933\"}, {\"row_id\": \"129932\"}, {\"row_id\": \"129931\"}, {\"row_id\": \"129930\"}, {\"row_id\": \"129929\"}, {\"row_id\": \"129928\"}, {\"row_id\": \"129927\"}, {\"row_id\": \"129926\"}, {\"row_id\": \"129925\"}, {\"row_id\": \"129924\"}, {\"row_id\": \"129923\"}, {\"row_id\": \"129922\"}, {\"row_id\": \"129921\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 212.45}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c18",
+  "started_at": "2026-05-19T15:46:26.078040+00:00",
+  "ended_at": "2026-05-19T15:46:40.501033+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c18_085778c98281b6b1",
+    "problem_id": "v2p_c18_53a1ffdaa405c85c",
+    "dataset_id": "c18",
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "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 Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=row_id.",
+    "bindings": {
+      "measure_col": "row_id",
+      "top_k": 13,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 56702.0,
+      "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": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=1/1",
+      "binding_index=63"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "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_d/c18/sql/v2q_c18_085778c98281b6b1.sql",
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_085778c98281b6b1",
+    "api_calls": 0,
+    "input_tokens": 14900,
+    "cached_input_tokens": 13696,
+    "output_tokens": 554,
+    "total_tokens": 15454,
+    "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": 14182.72,
+    "sql_execution_elapsed_ms_total": 212.45,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:46:40.284697+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": 14182.72, "started_at": "2026-05-19T15:46:26.100771+00:00", "ended_at": "2026-05-19T15:46:40.283533+00:00", "prompt_metrics": {"chars": 10065, "bytes_utf8": 10069, "lines": 262, "estimated_tokens": null}, "response_metrics": {"chars": 586, "bytes_utf8": 586, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14900, "cached_input_tokens": 13696, "output_tokens": 554, "reasoning_output_tokens": 382}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n    SELECT\\n        \\\"row_id\\\",\\n        NTILE(10) OVER (ORDER BY CAST(\\\"row_id\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"c18\\\"\\n    WHERE \\\"row_id\\\" IS NOT NULL AND TRIM(\\\"row_id\\\") <> ''\\n)\\nSELECT \\\"row_id\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"row_id\\\" AS INTEGER) DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"row_id\\\" and num_tiles=10. Cast \\\"row_id\\\" to INTEGER for numeric tail ordering because the SQLite schema stores it as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c18",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c18_085778c98281b6b1",
+  "api_calls": 0,
+  "input_tokens": 14900,
+  "cached_input_tokens": 13696,
+  "output_tokens": 554,
+  "total_tokens": 15454,
+  "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": 14182.72,
+  "sql_execution_elapsed_ms_total": 212.45,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_085778c98281b6b1/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/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=region_2, condition_col=country.
+Result preview: [{"region_2": "", "condition_ratio": 0.7016341591987348}, {"region_2": "California Other", "condition_ratio": null}, {"region_2": "Central Coast", "condition_ratio": null}, {"region_2": "Central Valley", "condition_ratio": null}, {"region_2": "Columbia Valley", "condition_ratio": null}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/generated_sql.sql

@@ -0,0 +1,27 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c18
+-- 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_c18_092c8cc71865a09c
+-- problem_id: v2p_c18_e44eddb941dba62a
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT
+        "region_2",
+        SUM(CASE WHEN "country" = 'US' THEN 1 ELSE 0 END) AS numerator_count,
+        SUM(CASE WHEN "country" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "c18"
+    GROUP BY "region_2"
+)
+SELECT
+    "region_2",
+    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC
+LIMIT 12;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c18",
+  "started_at": "2026-05-19T15:43:25.639410+00:00",
+  "ended_at": "2026-05-19T15:44:01.356543+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c18_092c8cc71865a09c",
+    "problem_id": "v2p_c18_e44eddb941dba62a",
+    "dataset_id": "c18",
+    "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=region_2, condition_col=country.",
+    "bindings": {
+      "group_col": "region_2",
+      "condition_col": "country",
+      "condition_value": "US",
+      "positive_value": "US",
+      "negative_value": "Portugal",
+      "top_k": 12,
+      "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": 56702.0,
+      "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=7",
+      "sql_variant_index=1/1",
+      "binding_index=42"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 7,
+    "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_d/c18/sql/v2q_c18_092c8cc71865a09c.sql",
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_092c8cc71865a09c",
+    "api_calls": 0,
+    "input_tokens": 15057,
+    "cached_input_tokens": 13696,
+    "output_tokens": 1915,
+    "total_tokens": 16972,
+    "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": 35605.3,
+    "sql_execution_elapsed_ms_total": 89.07,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_092c8cc71865a09c/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:44:01.265594+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": 35605.3, "started_at": "2026-05-19T15:43:25.659420+00:00", "ended_at": "2026-05-19T15:44:01.264749+00:00", "prompt_metrics": {"chars": 10712, "bytes_utf8": 10716, "lines": 267, "estimated_tokens": null}, "response_metrics": {"chars": 764, "bytes_utf8": 764, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15057, "cached_input_tokens": 13696, "output_tokens": 1915, "reasoning_output_tokens": 1712}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT\\n        \\\"region_2\\\",\\n        SUM(CASE WHEN \\\"country\\\" = 'US' THEN 1 ELSE 0 END) AS numerator_count,\\n        SUM(CASE WHEN \\\"country\\\" = 'Portugal' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c18\\\"\\n    GROUP BY \\\"region_2\\\"\\n)\\nSELECT\\n    \\\"region_2\\\",\\n    CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC\\nLIMIT 12;\",\"notes\":\"Instantiates the planned grouped-ratio template with group_col=\\\"region_2\\\" and condition_col=\\\"country\\\", measuring the US-to-Portugal count ratio per region_2. NULLIF preserves SQLite compatibility by returning NULL when a group has zero Portugal rows.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=price, measure_col=price.
+Result preview: [{"price": 800.0, "percentile_measure": 800.0}, {"price": 550.0, "percentile_measure": 550.0}, {"price": 500.0, "percentile_measure": 500.0}, {"price": 460.0, "percentile_measure": 460.0}, {"price": 450.0, "percentile_measure": 450.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c18
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_c18_0a33ccd0c47907a7
+-- problem_id: v2p_c18_f8248670a7e06e89
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT CAST("price" AS REAL) AS "price_value"
+  FROM "c18"
+  WHERE NULLIF("price", '') IS NOT NULL
+)
+SELECT
+  "price_value" AS "price",
+  "price_value" AS "percentile_measure"
+FROM "base"
+GROUP BY "price_value"
+HAVING COUNT(*) >= 5
+ORDER BY "percentile_measure" DESC
+LIMIT 16;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/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_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT CAST(\"price\" AS REAL) AS \"price_value\"\n  FROM \"c18\"\n  WHERE NULLIF(\"price\", '') IS NOT NULL\n)\nSELECT\n  \"price_value\" AS \"price\",\n  \"price_value\" AS \"percentile_measure\"\nFROM \"base\"\nGROUP BY \"price_value\"\nHAVING COUNT(*) >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT CAST(\\\"price\\\" AS REAL) AS \\\"price_value\\\"\\n  FROM \\\"c18\\\"\\n  WHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\n)\\nSELECT\\n  \\\"price_value\\\" AS \\\"price\\\",\\n  \\\"price_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"base\\\"\\nGROUP BY \\\"price_value\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 16;\", \"columns\": [\"price\", \"percentile_measure\"], \"rows\": [{\"price\": 800.0, \"percentile_measure\": 800.0}, {\"price\": 550.0, \"percentile_measure\": 550.0}, {\"price\": 500.0, \"percentile_measure\": 500.0}, {\"price\": 460.0, \"percentile_measure\": 460.0}, {\"price\": 450.0, \"percentile_measure\": 450.0}, {\"price\": 440.0, \"percentile_measure\": 440.0}, {\"price\": 400.0, \"percentile_measure\": 400.0}, {\"price\": 375.0, \"percentile_measure\": 375.0}, {\"price\": 365.0, \"percentile_measure\": 365.0}, {\"price\": 350.0, \"percentile_measure\": 350.0}, {\"price\": 330.0, \"percentile_measure\": 330.0}, {\"price\": 325.0, \"percentile_measure\": 325.0}, {\"price\": 320.0, \"percentile_measure\": 320.0}, {\"price\": 300.0, \"percentile_measure\": 300.0}, {\"price\": 299.0, \"percentile_measure\": 299.0}, {\"price\": 290.0, \"percentile_measure\": 290.0}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 93.54}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c18",
+  "started_at": "2026-05-19T15:53:44.311628+00:00",
+  "ended_at": "2026-05-19T15:54:25.305707+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c18_0a33ccd0c47907a7",
+    "problem_id": "v2p_c18_f8248670a7e06e89",
+    "dataset_id": "c18",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=price, measure_col=price.",
+    "bindings": {
+      "group_col": "price",
+      "measure_col": "price",
+      "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": 22.48,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=2/2",
+      "binding_index=86"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "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_d/c18/sql/v2q_c18_0a33ccd0c47907a7.sql",
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_0a33ccd0c47907a7",
+    "api_calls": 0,
+    "input_tokens": 14881,
+    "cached_input_tokens": 13696,
+    "output_tokens": 2037,
+    "total_tokens": 16918,
+    "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": 39871.79,
+    "sql_execution_elapsed_ms_total": 93.54,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:53:47.054094+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": 2718.03, "started_at": "2026-05-19T15:53:44.334845+00:00", "ended_at": "2026-05-19T15:53:47.052915+00:00", "prompt_metrics": {"chars": 10064, "bytes_utf8": 10068, "lines": 264, "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\":\"019e40f1-6d9f-7773-9b0d-252d1c506964\"}\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": "2026-05-19T15:54:25.210290+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": 37153.76, "started_at": "2026-05-19T15:53:48.055606+00:00", "ended_at": "2026-05-19T15:54:25.209415+00:00", "prompt_metrics": {"chars": 10064, "bytes_utf8": 10068, "lines": 264, "estimated_tokens": null}, "response_metrics": {"chars": 714, "bytes_utf8": 714, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14881, "cached_input_tokens": 13696, "output_tokens": 2037, "reasoning_output_tokens": 1843}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT CAST(\\\"price\\\" AS REAL) AS \\\"price_value\\\"\\n  FROM \\\"c18\\\"\\n  WHERE NULLIF(\\\"price\\\", '') IS NOT NULL\\n)\\nSELECT\\n  \\\"price_value\\\" AS \\\"price\\\",\\n  \\\"price_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"base\\\"\\nGROUP BY \\\"price_value\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 16;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, and with group_col=\\\"price\\\" and measure_col=\\\"price\\\", the grouped 90th-percentile value is the price itself for each group. The query casts TEXT prices to REAL, excludes blank prices, applies the provided minimum group size of 5, and returns the top 16 ranked price groups.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c18",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c18_0a33ccd0c47907a7",
+  "api_calls": 0,
+  "input_tokens": 14881,
+  "cached_input_tokens": 13696,
+  "output_tokens": 2037,
+  "total_tokens": 16918,
+  "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": 39871.79,
+  "sql_execution_elapsed_ms_total": 93.54,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0a33ccd0c47907a7/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/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=price, measure_col=price.
+Result preview: [{"group_col": "10.0", "item_col": "10.0", "total_measure": 34390.0, "share_within_group": 100.0}, {"group_col": "100.0", "item_col": "100.0", "total_measure": 58500.0, "share_within_group": 100.0}, {"group_col": "1000.0", "item_col": "1000.0", "total_measure": 2000.0, "share_within_group": 100.0}, {"group_col": "101.0", "item_col": "101.0", "total_measure": 1515.0, "share_within_group": 100.0}, {"group_col": "102.0", "item_col": "102.0", "total_measure": 1836.0, "share_within_group": 100.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c18
+-- 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_c18_0d91f8cc08721aeb
+-- problem_id: v2p_c18_e6814c93f293aa2d
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "price" AS "group_col",
+  "price" AS "item_col",
+  SUM(CAST("price" AS REAL)) AS total_measure,
+  SUM(CAST("price" AS REAL)) * 100.0 / SUM(SUM(CAST("price" AS REAL))) OVER (PARTITION BY "price") AS share_within_group
+FROM "c18"
+WHERE "price" IS NOT NULL AND "price" <> ''
+GROUP BY "price", "price"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/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  \"price\" AS \"group_col\",\n  \"price\" AS \"item_col\",\n  SUM(CAST(\"price\" AS REAL)) AS total_measure,\n  SUM(CAST(\"price\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"price\" AS REAL))) OVER (PARTITION BY \"price\") AS share_within_group\nFROM \"c18\"\nWHERE \"price\" IS NOT NULL AND \"price\" <> ''\nGROUP BY \"price\", \"price\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"price\\\" AS \\\"group_col\\\",\\n  \\\"price\\\" AS \\\"item_col\\\",\\n  SUM(CAST(\\\"price\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"price\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"price\\\" AS REAL))) OVER (PARTITION BY \\\"price\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nWHERE \\\"price\\\" IS NOT NULL AND \\\"price\\\" <> ''\\nGROUP BY \\\"price\\\", \\\"price\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"group_col\", \"item_col\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"group_col\": \"10.0\", \"item_col\": \"10.0\", \"total_measure\": 34390.0, \"share_within_group\": 100.0}, {\"group_col\": \"100.0\", \"item_col\": \"100.0\", \"total_measure\": 58500.0, \"share_within_group\": 100.0}, {\"group_col\": \"1000.0\", \"item_col\": \"1000.0\", \"total_measure\": 2000.0, \"share_within_group\": 100.0}, {\"group_col\": \"101.0\", \"item_col\": \"101.0\", \"total_measure\": 1515.0, \"share_within_group\": 100.0}, {\"group_col\": \"102.0\", \"item_col\": \"102.0\", \"total_measure\": 1836.0, \"share_within_group\": 100.0}, {\"group_col\": \"103.0\", \"item_col\": \"103.0\", \"total_measure\": 2884.0, \"share_within_group\": 100.0}, {\"group_col\": \"104.0\", \"item_col\": \"104.0\", \"total_measure\": 1664.0, \"share_within_group\": 100.0}, {\"group_col\": \"105.0\", \"item_col\": \"105.0\", \"total_measure\": 13965.0, \"share_within_group\": 100.0}, {\"group_col\": \"106.0\", \"item_col\": \"106.0\", \"total_measure\": 1696.0, \"share_within_group\": 100.0}, {\"group_col\": \"107.0\", \"item_col\": \"107.0\", \"total_measure\": 2033.0, \"share_within_group\": 100.0}, {\"group_col\": \"108.0\", \"item_col\": \"108.0\", \"total_measure\": 2916.0, \"share_within_group\": 100.0}, {\"group_col\": \"109.0\", \"item_col\": \"109.0\", \"total_measure\": 1526.0, \"share_within_group\": 100.0}, {\"group_col\": \"11.0\", \"item_col\": \"11.0\", \"total_measure\": 22638.0, \"share_within_group\": 100.0}, {\"group_col\": \"110.0\", \"item_col\": \"110.0\", \"total_measure\": 22000.0, \"share_within_group\": 100.0}, {\"group_col\": \"1100.0\", \"item_col\": \"1100.0\", \"total_measure\": 2200.0, \"share_within_group\": 100.0}, {\"group_col\": \"111.0\", \"item_col\": \"111.0\", \"total_measure\": 1443.0, \"share_within_group\": 100.0}, {\"group_col\": \"112.0\", \"item_col\": \"112.0\", \"total_measure\": 3248.0, \"share_within_group\": 100.0}, {\"group_col\": \"1125.0\", \"item_col\": \"1125.0\", \"total_measure\": 1125.0, \"share_within_group\": 100.0}, {\"group_col\": \"113.0\", \"item_col\": \"113.0\", \"total_measure\": 1469.0, \"share_within_group\": 100.0}, {\"group_col\": \"114.0\", \"item_col\": \"114.0\", \"total_measure\": 1482.0, \"share_within_group\": 100.0}, {\"group_col\": \"115.0\", \"item_col\": \"115.0\", \"total_measure\": 13110.0, \"share_within_group\": 100.0}, {\"group_col\": \"116.0\", \"item_col\": \"116.0\", \"total_measure\": 1276.0, \"share_within_group\": 100.0}, {\"group_col\": \"117.0\", \"item_col\": \"117.0\", \"total_measure\": 1287.0, \"share_within_group\": 100.0}, {\"group_col\": \"118.0\", \"item_col\": \"118.0\", \"total_measure\": 1652.0, \"share_within_group\": 100.0}, {\"group_col\": \"119.0\", \"item_col\": \"119.0\", \"total_measure\": 952.0, \"share_within_group\": 100.0}, {\"group_col\": \"12.0\", \"item_col\": \"12.0\", \"total_measure\": 47208.0, \"share_within_group\": 100.0}, {\"group_col\": \"120.0\", \"item_col\": \"120.0\", \"total_measure\": 31440.0, \"share_within_group\": 100.0}, {\"group_col\": \"1200.0\", \"item_col\": \"1200.0\", \"total_measure\": 1200.0, \"share_within_group\": 100.0}, {\"group_col\": \"121.0\", \"item_col\": \"121.0\", \"total_measure\": 242.0, \"share_within_group\": 100.0}, {\"group_col\": \"122.0\", \"item_col\": \"122.0\", \"total_measure\": 976.0, \"share_within_group\": 100.0}, {\"group_col\": \"123.0\", \"item_col\": \"123.0\", \"total_measure\": 369.0, \"share_within_group\": 100.0}, {\"group_col\": \"124.0\", \"item_col\": \"124.0\", \"total_measure\": 868.0, \"share_within_group\": 100.0}, {\"group_col\": \"125.0\", \"item_col\": \"125.0\", \"total_measure\": 41000.0, \"share_within_group\": 100.0}, {\"group_col\": \"126.0\", \"item_col\": \"126.0\", \"total_measure\": 882.0, \"share_within_group\": 100.0}, {\"group_col\": \"127.0\", \"item_col\": \"127.0\", \"total_measure\": 1016.0, \"share_within_group\": 100.0}, {\"group_col\": \"128.0\", \"item_col\": \"128.0\", \"total_measure\": 1792.0, \"share_within_group\": 100.0}, {\"group_col\": \"129.0\", \"item_col\": \"129.0\", \"total_measure\": 1548.0, \"share_within_group\": 100.0}, {\"group_col\": \"13.0\", \"item_col\": \"13.0\", \"total_measure\": 46137.0, \"share_within_group\": 100.0}, {\"group_col\": \"130.0\", \"item_col\": \"130.0\", \"total_measure\": 18330.0, \"share_within_group\": 100.0}, {\"group_col\": \"1300.0\", \"item_col\": \"1300.0\", \"total_measure\": 1300.0, \"share_within_group\": 100.0}, {\"group_col\": \"131.0\", \"item_col\": \"131.0\", \"total_measure\": 524.0, \"share_within_group\": 100.0}, {\"group_col\": \"132.0\", \"item_col\": \"132.0\", \"total_measure\": 1452.0, \"share_within_group\": 100.0}, {\"group_col\": \"133.0\", \"item_col\": \"133.0\", \"total_measure\": 665.0, \"share_within_group\": 100.0}, {\"group_col\": \"134.0\", \"item_col\": \"134.0\", \"total_measure\": 536.0, \"share_within_group\": 100.0}, {\"group_col\": \"135.0\", \"item_col\": \"135.0\", \"total_measure\": 14850.0, \"share_within_group\": 100.0}, {\"group_col\": \"136.0\", \"item_col\": \"136.0\", \"total_measure\": 408.0, \"share_within_group\": 100.0}, {\"group_col\": \"137.0\", \"item_col\": \"137.0\", \"total_measure\": 685.0, \"share_within_group\": 100.0}, {\"group_col\": \"138.0\", \"item_col\": \"138.0\", \"total_measure\": 1380.0, \"share_within_group\": 100.0}, {\"group_col\": \"139.0\", \"item_col\": \"139.0\", \"total_measure\": 1112.0, \"share_within_group\": 100.0}, {\"group_col\": \"14.0\", \"item_col\": \"14.0\", \"total_measure\": 45010.0, \"share_within_group\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 106.14}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c18",
+  "started_at": "2026-05-19T15:36:13.137113+00:00",
+  "ended_at": "2026-05-19T15:36:33.446012+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c18_0d91f8cc08721aeb",
+    "problem_id": "v2p_c18_e6814c93f293aa2d",
+    "dataset_id": "c18",
+    "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=price, measure_col=price.",
+    "bindings": {
+      "group_col": "price",
+      "measure_col": "price",
+      "item_col": "price",
+      "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": 22.48,
+      "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_d/c18/sql/v2q_c18_0d91f8cc08721aeb.sql",
+  "usage_summary": {
+    "dataset_id": "c18",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c18_0d91f8cc08721aeb",
+    "api_calls": 0,
+    "input_tokens": 14960,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1104,
+    "total_tokens": 16064,
+    "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": 20174.05,
+    "sql_execution_elapsed_ms_total": 106.14,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:36:33.334919+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": 20174.05, "started_at": "2026-05-19T15:36:13.160015+00:00", "ended_at": "2026-05-19T15:36:33.334100+00:00", "prompt_metrics": {"chars": 10289, "bytes_utf8": 10293, "lines": 266, "estimated_tokens": null}, "response_metrics": {"chars": 772, "bytes_utf8": 772, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14960, "cached_input_tokens": 12032, "output_tokens": 1104, "reasoning_output_tokens": 893}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"price\\\" AS \\\"group_col\\\",\\n  \\\"price\\\" AS \\\"item_col\\\",\\n  SUM(CAST(\\\"price\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"price\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"price\\\" AS REAL))) OVER (PARTITION BY \\\"price\\\") AS share_within_group\\nFROM \\\"c18\\\"\\nWHERE \\\"price\\\" IS NOT NULL AND \\\"price\\\" <> ''\\nGROUP BY \\\"price\\\", \\\"price\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=item_col=price and cast \\\"price\\\" to REAL because the schema stores it as TEXT. Empty price values are filtered out. Because group_col and item_col are identical, each grouped row represents a single price bucket, so share_within_group will evaluate to 100.0 for each returned price value.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c18",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c18_0d91f8cc08721aeb",
+  "api_calls": 0,
+  "input_tokens": 14960,
+  "cached_input_tokens": 12032,
+  "output_tokens": 1104,
+  "total_tokens": 16064,
+  "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": 20174.05,
+  "sql_execution_elapsed_ms_total": 106.14,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c18/artifacts/v2q_c18_0d91f8cc08721aeb/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}