Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_3, measure_col=feature_3.
+Result preview: [{"feature_3": "255", "avg_measure": 255.0}, {"feature_3": "254", "avg_measure": 254.0}, {"feature_3": "253", "avg_measure": 253.0}, {"feature_3": "252", "avg_measure": 252.0}, {"feature_3": "251", "avg_measure": 251.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n12
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_n12_000cdbe19ac46399
+-- problem_id: v2p_n12_d0d9e10a8839669b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT
+  "feature_3",
+  AVG(CAST("feature_3" AS REAL)) OVER (PARTITION BY "feature_3") AS avg_measure
+FROM "n12"
+WHERE "feature_3" IS NOT NULL
+ORDER BY avg_measure DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n  \"feature_3\",\n  AVG(CAST(\"feature_3\" AS REAL)) OVER (PARTITION BY \"feature_3\") AS avg_measure\nFROM \"n12\"\nWHERE \"feature_3\" IS NOT NULL\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"feature_3\\\",\\n  AVG(CAST(\\\"feature_3\\\" AS REAL)) OVER (PARTITION BY \\\"feature_3\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nWHERE \\\"feature_3\\\" IS NOT NULL\\nORDER BY avg_measure DESC;\", \"columns\": [\"feature_3\", \"avg_measure\"], \"rows\": [{\"feature_3\": \"255\", \"avg_measure\": 255.0}, {\"feature_3\": \"254\", \"avg_measure\": 254.0}, {\"feature_3\": \"253\", \"avg_measure\": 253.0}, {\"feature_3\": \"252\", \"avg_measure\": 252.0}, {\"feature_3\": \"251\", \"avg_measure\": 251.0}, {\"feature_3\": \"250\", \"avg_measure\": 250.0}, {\"feature_3\": \"249\", \"avg_measure\": 249.0}, {\"feature_3\": \"248\", \"avg_measure\": 248.0}, {\"feature_3\": \"247\", \"avg_measure\": 247.0}, {\"feature_3\": \"246\", \"avg_measure\": 246.0}, {\"feature_3\": \"245\", \"avg_measure\": 245.0}, {\"feature_3\": \"244\", \"avg_measure\": 244.0}, {\"feature_3\": \"243\", \"avg_measure\": 243.0}, {\"feature_3\": \"242\", \"avg_measure\": 242.0}, {\"feature_3\": \"241\", \"avg_measure\": 241.0}, {\"feature_3\": \"240\", \"avg_measure\": 240.0}, {\"feature_3\": \"239\", \"avg_measure\": 239.0}, {\"feature_3\": \"238\", \"avg_measure\": 238.0}, {\"feature_3\": \"237\", \"avg_measure\": 237.0}, {\"feature_3\": \"236\", \"avg_measure\": 236.0}, {\"feature_3\": \"235\", \"avg_measure\": 235.0}, {\"feature_3\": \"234\", \"avg_measure\": 234.0}, {\"feature_3\": \"233\", \"avg_measure\": 233.0}, {\"feature_3\": \"232\", \"avg_measure\": 232.0}, {\"feature_3\": \"231\", \"avg_measure\": 231.0}, {\"feature_3\": \"230\", \"avg_measure\": 230.0}, {\"feature_3\": \"229\", \"avg_measure\": 229.0}, {\"feature_3\": \"228\", \"avg_measure\": 228.0}, {\"feature_3\": \"227\", \"avg_measure\": 227.0}, {\"feature_3\": \"226\", \"avg_measure\": 226.0}, {\"feature_3\": \"225\", \"avg_measure\": 225.0}, {\"feature_3\": \"224\", \"avg_measure\": 224.0}, {\"feature_3\": \"223\", \"avg_measure\": 223.0}, {\"feature_3\": \"222\", \"avg_measure\": 222.0}, {\"feature_3\": \"221\", \"avg_measure\": 221.0}, {\"feature_3\": \"220\", \"avg_measure\": 220.0}, {\"feature_3\": \"219\", \"avg_measure\": 219.0}, {\"feature_3\": \"218\", \"avg_measure\": 218.0}, {\"feature_3\": \"217\", \"avg_measure\": 217.0}, {\"feature_3\": \"216\", \"avg_measure\": 216.0}, {\"feature_3\": \"215\", \"avg_measure\": 215.0}, {\"feature_3\": \"214\", \"avg_measure\": 214.0}, {\"feature_3\": \"213\", \"avg_measure\": 213.0}, {\"feature_3\": \"212\", \"avg_measure\": 212.0}, {\"feature_3\": \"211\", \"avg_measure\": 211.0}, {\"feature_3\": \"210\", \"avg_measure\": 210.0}, {\"feature_3\": \"209\", \"avg_measure\": 209.0}, {\"feature_3\": \"208\", \"avg_measure\": 208.0}, {\"feature_3\": \"207\", \"avg_measure\": 207.0}, {\"feature_3\": \"206\", \"avg_measure\": 206.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 383.27}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n12",
+  "started_at": "2026-05-19T15:59:21.208469+00:00",
+  "ended_at": "2026-05-19T15:59:33.690338+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n12_000cdbe19ac46399",
+    "problem_id": "v2p_n12_d0d9e10a8839669b",
+    "dataset_id": "n12",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=feature_3, measure_col=feature_3.",
+    "bindings": {
+      "group_col": "feature_3",
+      "measure_col": "feature_3",
+      "top_k": 14,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 186.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=134"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/sql/v2q_n12_000cdbe19ac46399.sql",
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_000cdbe19ac46399",
+    "api_calls": 0,
+    "input_tokens": 13468,
+    "cached_input_tokens": 12672,
+    "output_tokens": 616,
+    "total_tokens": 14084,
+    "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": 12091.4,
+    "sql_execution_elapsed_ms_total": 383.27,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:59:33.304072+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": 12091.4, "started_at": "2026-05-19T15:59:21.211884+00:00", "ended_at": "2026-05-19T15:59:33.303314+00:00", "prompt_metrics": {"chars": 4634, "bytes_utf8": 4634, "lines": 144, "estimated_tokens": null}, "response_metrics": {"chars": 412, "bytes_utf8": 412, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13468, "cached_input_tokens": 12672, "output_tokens": 616, "reasoning_output_tokens": 505}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n  \\\"feature_3\\\",\\n  AVG(CAST(\\\"feature_3\\\" AS REAL)) OVER (PARTITION BY \\\"feature_3\\\") AS avg_measure\\nFROM \\\"n12\\\"\\nWHERE \\\"feature_3\\\" IS NOT NULL\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the requested Window Partition Average template with group_col and measure_col both bound to feature_3. CAST keeps the window AVG numeric in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n12_000cdbe19ac46399",
+  "api_calls": 0,
+  "input_tokens": 13468,
+  "cached_input_tokens": 12672,
+  "output_tokens": 616,
+  "total_tokens": 14084,
+  "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": 12091.4,
+  "sql_execution_elapsed_ms_total": 383.27,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_000cdbe19ac46399/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_2.
+Result preview: [{"feature_1": "178", "total_measure": 817056.0}, {"feature_1": "199", "total_measure": 705673.0}, {"feature_1": "179", "total_measure": 704144.0}, {"feature_1": "180", "total_measure": 652000.0}, {"feature_1": "172", "total_measure": 586161.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n12
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_n12_0090e33f694627e3
+-- problem_id: v2p_n12_3cb10491d20dd147
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "feature_1", SUM(CAST("feature_2" AS REAL)) AS total_measure
+FROM "n12"
+GROUP BY "feature_1"
+ORDER BY total_measure DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"feature_1\", SUM(CAST(\"feature_2\" AS REAL)) AS total_measure\nFROM \"n12\"\nGROUP BY \"feature_1\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_1\", \"total_measure\"], \"rows\": [{\"feature_1\": \"178\", \"total_measure\": 817056.0}, {\"feature_1\": \"199\", \"total_measure\": 705673.0}, {\"feature_1\": \"179\", \"total_measure\": 704144.0}, {\"feature_1\": \"180\", \"total_measure\": 652000.0}, {\"feature_1\": \"172\", \"total_measure\": 586161.0}, {\"feature_1\": \"181\", \"total_measure\": 579547.0}, {\"feature_1\": \"182\", \"total_measure\": 562307.0}, {\"feature_1\": \"201\", \"total_measure\": 551059.0}, {\"feature_1\": \"164\", \"total_measure\": 484472.0}, {\"feature_1\": \"173\", \"total_measure\": 476474.0}, {\"feature_1\": \"177\", \"total_measure\": 472833.0}, {\"feature_1\": \"198\", \"total_measure\": 461847.0}, {\"feature_1\": \"171\", \"total_measure\": 437167.0}, {\"feature_1\": \"165\", \"total_measure\": 421523.0}, {\"feature_1\": \"175\", \"total_measure\": 401241.0}, {\"feature_1\": \"163\", \"total_measure\": 384043.0}, {\"feature_1\": \"183\", \"total_measure\": 378570.0}, {\"feature_1\": \"197\", \"total_measure\": 374157.0}, {\"feature_1\": \"167\", \"total_measure\": 363401.0}, {\"feature_1\": \"200\", \"total_measure\": 357647.0}, {\"feature_1\": \"174\", \"total_measure\": 352916.0}, {\"feature_1\": \"176\", \"total_measure\": 352141.0}, {\"feature_1\": \"157\", \"total_measure\": 348757.0}, {\"feature_1\": \"170\", \"total_measure\": 328121.0}, {\"feature_1\": \"168\", \"total_measure\": 266338.0}, {\"feature_1\": \"202\", \"total_measure\": 263468.0}, {\"feature_1\": \"255\", \"total_measure\": 259606.0}, {\"feature_1\": \"158\", \"total_measure\": 255442.0}, {\"feature_1\": \"196\", \"total_measure\": 252945.0}, {\"feature_1\": \"162\", \"total_measure\": 251052.0}, {\"feature_1\": \"166\", \"total_measure\": 246552.0}, {\"feature_1\": \"138\", \"total_measure\": 240529.0}, {\"feature_1\": \"136\", \"total_measure\": 240128.0}, {\"feature_1\": \"150\", \"total_measure\": 238494.0}, {\"feature_1\": \"0\", \"total_measure\": 236177.0}, {\"feature_1\": \"195\", \"total_measure\": 235580.0}, {\"feature_1\": \"140\", \"total_measure\": 234945.0}, {\"feature_1\": \"151\", \"total_measure\": 225752.0}, {\"feature_1\": \"169\", \"total_measure\": 222435.0}, {\"feature_1\": \"205\", \"total_measure\": 222011.0}, {\"feature_1\": \"159\", \"total_measure\": 218562.0}, {\"feature_1\": \"139\", \"total_measure\": 218238.0}, {\"feature_1\": \"149\", \"total_measure\": 218176.0}, {\"feature_1\": \"184\", \"total_measure\": 217442.0}, {\"feature_1\": \"155\", \"total_measure\": 217246.0}, {\"feature_1\": \"185\", \"total_measure\": 214993.0}, {\"feature_1\": \"156\", \"total_measure\": 214962.0}, {\"feature_1\": \"128\", \"total_measure\": 209837.0}, {\"feature_1\": \"152\", \"total_measure\": 208747.0}, {\"feature_1\": \"161\", \"total_measure\": 206340.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 125.95}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n12",
+  "started_at": "2026-05-19T15:30:00.562394+00:00",
+  "ended_at": "2026-05-19T15:30:14.835758+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n12_0090e33f694627e3",
+    "problem_id": "v2p_n12_3cb10491d20dd147",
+    "dataset_id": "n12",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_conditional_contrast",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_2.",
+    "bindings": {
+      "group_col": "feature_1",
+      "measure_col": "feature_2",
+      "top_k": 19,
+      "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": 104.84,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=2/2",
+      "binding_index=4"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/sql/v2q_n12_0090e33f694627e3.sql",
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_0090e33f694627e3",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12032,
+    "output_tokens": 500,
+    "total_tokens": 13956,
+    "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": 14140.62,
+    "sql_execution_elapsed_ms_total": 125.95,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:30:14.707204+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": 14140.62, "started_at": "2026-05-19T15:30:00.565626+00:00", "ended_at": "2026-05-19T15:30:14.706275+00:00", "prompt_metrics": {"chars": 4550, "bytes_utf8": 4550, "lines": 144, "estimated_tokens": null}, "response_metrics": {"chars": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12032, "output_tokens": 500, "reasoning_output_tokens": 396}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped-sum template with group_col=\\\"feature_1\\\" and measure_col=\\\"feature_2\\\". CAST is used because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n12_0090e33f694627e3",
+  "api_calls": 0,
+  "input_tokens": 13456,
+  "cached_input_tokens": 12032,
+  "output_tokens": 500,
+  "total_tokens": 13956,
+  "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": 14140.62,
+  "sql_execution_elapsed_ms_total": 125.95,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0090e33f694627e3/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/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 count_distribution. Focus on group_col=target, measure_col=feature_1.
+Result preview: [{"target": "2", "group_value": 24856855.0}, {"target": "1", "group_value": 5791308.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n12
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_n12_00999fc963621d8d
+-- problem_id: v2p_n12_f33e6b22f47eca59
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "target", SUM(CAST("feature_1" AS REAL)) AS group_value
+    FROM "n12"
+    GROUP BY "target"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."target", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/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 \"target\", SUM(CAST(\"feature_1\" AS REAL)) AS group_value\n    FROM \"n12\"\n    GROUP BY \"target\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"target\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"target\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"target\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"target\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"target\", \"group_value\"], \"rows\": [{\"target\": \"2\", \"group_value\": 24856855.0}, {\"target\": \"1\", \"group_value\": 5791308.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 113.92}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n12",
+  "started_at": "2026-05-19T15:43:00.393851+00:00",
+  "ended_at": "2026-05-19T15:43:15.142432+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n12_00999fc963621d8d",
+    "problem_id": "v2p_n12_f33e6b22f47eca59",
+    "dataset_id": "n12",
+    "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": "count_distribution",
+    "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 count_distribution. Focus on group_col=target, measure_col=feature_1.",
+    "bindings": {
+      "group_col": "target",
+      "measure_col": "feature_1",
+      "top_k": 15,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 100.24,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=75"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/sql/v2q_n12_00999fc963621d8d.sql",
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_00999fc963621d8d",
+    "api_calls": 0,
+    "input_tokens": 13588,
+    "cached_input_tokens": 12032,
+    "output_tokens": 375,
+    "total_tokens": 13963,
+    "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": 14626.64,
+    "sql_execution_elapsed_ms_total": 113.92,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:43:15.025495+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": 14626.64, "started_at": "2026-05-19T15:43:00.397449+00:00", "ended_at": "2026-05-19T15:43:15.024123+00:00", "prompt_metrics": {"chars": 5099, "bytes_utf8": 5099, "lines": 144, "estimated_tokens": null}, "response_metrics": {"chars": 626, "bytes_utf8": 626, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13588, "cached_input_tokens": 12032, "output_tokens": 375, "reasoning_output_tokens": 207}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"target\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS group_value\\n    FROM \\\"n12\\\"\\n    GROUP BY \\\"target\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"target\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required template with group_col=\\\"target\\\" and measure_col=\\\"feature_1\\\". CAST(\\\"feature_1\\\" AS REAL) is applied because the schema stores numeric-looking values as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n12_00999fc963621d8d",
+  "api_calls": 0,
+  "input_tokens": 13588,
+  "cached_input_tokens": 12032,
+  "output_tokens": 375,
+  "total_tokens": 13963,
+  "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": 14626.64,
+  "sql_execution_elapsed_ms_total": 113.92,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_00999fc963621d8d/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/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=feature_3, measure_col=feature_3.
+Result preview: [{"feature_3": "170", "feature_1": "205", "total_measure": 119340, "share_within_group": 63.76021798365122}, {"feature_3": "164", "feature_1": "201", "total_measure": 116276, "share_within_group": 56.629392971246006}, {"feature_3": "165", "feature_1": "202", "total_measure": 69795, "share_within_group": 52.22222222222222}, {"feature_3": "158", "feature_1": "198", "total_measure": 172220, "share_within_group": 50.83955223880597}, {"feature_3": "113", "feature_1": "164", "total_measure": 104073, "share_within_group": 44.70873786407767}]

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n12
+-- 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_n12_02831a2a3919d4f9
+-- problem_id: v2p_n12_2094b93a41c77697
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "feature_3",
+  "feature_1",
+  SUM(CAST("feature_3" AS INTEGER)) AS total_measure,
+  SUM(CAST("feature_3" AS INTEGER)) * 100.0 / SUM(SUM(CAST("feature_3" AS INTEGER))) OVER (PARTITION BY "feature_3") AS share_within_group
+FROM "n12"
+GROUP BY "feature_3", "feature_1"
+ORDER BY share_within_group DESC
+LIMIT 16;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/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  \"feature_3\",\n  \"feature_1\",\n  SUM(CAST(\"feature_3\" AS INTEGER)) AS total_measure,\n  SUM(CAST(\"feature_3\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"feature_3\" AS INTEGER))) OVER (PARTITION BY \"feature_3\") AS share_within_group\nFROM \"n12\"\nGROUP BY \"feature_3\", \"feature_1\"\nORDER BY share_within_group DESC\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_3\\\",\\n  \\\"feature_1\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS INTEGER)) AS total_measure,\\n  SUM(CAST(\\\"feature_3\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS INTEGER))) OVER (PARTITION BY \\\"feature_3\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\", \\\"feature_1\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\", \"columns\": [\"feature_3\", \"feature_1\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_3\": \"170\", \"feature_1\": \"205\", \"total_measure\": 119340, \"share_within_group\": 63.76021798365122}, {\"feature_3\": \"164\", \"feature_1\": \"201\", \"total_measure\": 116276, \"share_within_group\": 56.629392971246006}, {\"feature_3\": \"165\", \"feature_1\": \"202\", \"total_measure\": 69795, \"share_within_group\": 52.22222222222222}, {\"feature_3\": \"158\", \"feature_1\": \"198\", \"total_measure\": 172220, \"share_within_group\": 50.83955223880597}, {\"feature_3\": \"113\", \"feature_1\": \"164\", \"total_measure\": 104073, \"share_within_group\": 44.70873786407767}, {\"feature_3\": \"157\", \"feature_1\": \"196\", \"total_measure\": 103306, \"share_within_group\": 43.23258869908016}, {\"feature_3\": \"162\", \"feature_1\": \"201\", \"total_measure\": 264222, \"share_within_group\": 42.57374053771861}, {\"feature_3\": \"121\", \"feature_1\": \"172\", \"total_measure\": 123904, \"share_within_group\": 41.89852700490999}, {\"feature_3\": \"72\", \"feature_1\": \"4\", \"total_measure\": 11664, \"share_within_group\": 41.53846153846154}, {\"feature_3\": \"156\", \"feature_1\": \"195\", \"total_measure\": 68796, \"share_within_group\": 40.16393442622951}, {\"feature_3\": \"131\", \"feature_1\": \"178\", \"total_measure\": 196762, \"share_within_group\": 39.60970464135021}, {\"feature_3\": \"162\", \"feature_1\": \"199\", \"total_measure\": 244458, \"share_within_group\": 39.389193422083004}, {\"feature_3\": \"90\", \"feature_1\": \"136\", \"total_measure\": 56610, \"share_within_group\": 39.141257000622275}, {\"feature_3\": \"129\", \"feature_1\": \"179\", \"total_measure\": 172989, \"share_within_group\": 38.118249005116546}, {\"feature_3\": \"135\", \"feature_1\": \"182\", \"total_measure\": 162810, \"share_within_group\": 37.23371410929299}, {\"feature_3\": \"134\", \"feature_1\": \"181\", \"total_measure\": 132794, \"share_within_group\": 35.87979724837074}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 228.32}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n12",
+  "started_at": "2026-05-19T15:33:57.454166+00:00",
+  "ended_at": "2026-05-19T15:34:16.215876+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n12_02831a2a3919d4f9",
+    "problem_id": "v2p_n12_2094b93a41c77697",
+    "dataset_id": "n12",
+    "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=feature_3, measure_col=feature_3.",
+    "bindings": {
+      "group_col": "feature_3",
+      "measure_col": "feature_3",
+      "item_col": "feature_1",
+      "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": 163.32,
+      "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_a/n12/sql/v2q_n12_02831a2a3919d4f9.sql",
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_02831a2a3919d4f9",
+    "api_calls": 0,
+    "input_tokens": 13575,
+    "cached_input_tokens": 12032,
+    "output_tokens": 707,
+    "total_tokens": 14282,
+    "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": 18525.88,
+    "sql_execution_elapsed_ms_total": 228.32,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:34:15.984703+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": 18525.88, "started_at": "2026-05-19T15:33:57.457881+00:00", "ended_at": "2026-05-19T15:34:15.983784+00:00", "prompt_metrics": {"chars": 4957, "bytes_utf8": 4957, "lines": 146, "estimated_tokens": null}, "response_metrics": {"chars": 644, "bytes_utf8": 644, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13575, "cached_input_tokens": 12032, "output_tokens": 707, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_3\\\",\\n  \\\"feature_1\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS INTEGER)) AS total_measure,\\n  SUM(CAST(\\\"feature_3\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS INTEGER))) OVER (PARTITION BY \\\"feature_3\\\") AS share_within_group\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\", \\\"feature_1\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"feature_3\\\", item_col=\\\"feature_1\\\", and measure_col=\\\"feature_3\\\". Casted \\\"feature_3\\\" to INTEGER because the schema stores numeric fields as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n12_02831a2a3919d4f9",
+  "api_calls": 0,
+  "input_tokens": 13575,
+  "cached_input_tokens": 12032,
+  "output_tokens": 707,
+  "total_tokens": 14282,
+  "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": 18525.88,
+  "sql_execution_elapsed_ms_total": 228.32,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_02831a2a3919d4f9/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_1.
+Result preview: [{"feature_3": "162", "total_measure": 742355.0}, {"feature_3": "132", "total_measure": 642842.0}, {"feature_3": "255", "total_measure": 638125.0}, {"feature_3": "131", "total_measure": 636220.0}, {"feature_3": "129", "total_measure": 576446.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n12
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_n12_05d3d81cb0182d3a
+-- problem_id: v2p_n12_6932baaeef54aee1
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "feature_3", SUM(CAST("feature_1" AS REAL)) AS total_measure
+FROM "n12"
+GROUP BY "feature_3"
+ORDER BY total_measure DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"feature_3\", SUM(CAST(\"feature_1\" AS REAL)) AS total_measure\nFROM \"n12\"\nGROUP BY \"feature_3\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_3\", \"total_measure\"], \"rows\": [{\"feature_3\": \"162\", \"total_measure\": 742355.0}, {\"feature_3\": \"132\", \"total_measure\": 642842.0}, {\"feature_3\": \"255\", \"total_measure\": 638125.0}, {\"feature_3\": \"131\", \"total_measure\": 636220.0}, {\"feature_3\": \"129\", \"total_measure\": 576446.0}, {\"feature_3\": \"135\", \"total_measure\": 563377.0}, {\"feature_3\": \"163\", \"total_measure\": 526388.0}, {\"feature_3\": \"128\", \"total_measure\": 484191.0}, {\"feature_3\": \"114\", \"total_measure\": 475988.0}, {\"feature_3\": \"134\", \"total_measure\": 473615.0}, {\"feature_3\": \"126\", \"total_measure\": 416102.0}, {\"feature_3\": \"127\", \"total_measure\": 411036.0}, {\"feature_3\": \"125\", \"total_measure\": 404147.0}, {\"feature_3\": \"133\", \"total_measure\": 402579.0}, {\"feature_3\": \"121\", \"total_measure\": 400148.0}, {\"feature_3\": \"119\", \"total_measure\": 398263.0}, {\"feature_3\": \"130\", \"total_measure\": 382526.0}, {\"feature_3\": \"158\", \"total_measure\": 378256.0}, {\"feature_3\": \"122\", \"total_measure\": 375102.0}, {\"feature_3\": \"112\", \"total_measure\": 354548.0}, {\"feature_3\": \"124\", \"total_measure\": 335740.0}, {\"feature_3\": \"113\", \"total_measure\": 332156.0}, {\"feature_3\": \"160\", \"total_measure\": 328916.0}, {\"feature_3\": \"120\", \"total_measure\": 325657.0}, {\"feature_3\": \"137\", \"total_measure\": 321178.0}, {\"feature_3\": \"123\", \"total_measure\": 297339.0}, {\"feature_3\": \"115\", \"total_measure\": 296036.0}, {\"feature_3\": \"138\", \"total_measure\": 252551.0}, {\"feature_3\": \"157\", \"total_measure\": 250622.0}, {\"feature_3\": \"136\", \"total_measure\": 234587.0}, {\"feature_3\": \"164\", \"total_measure\": 229270.0}, {\"feature_3\": \"90\", \"total_measure\": 218826.0}, {\"feature_3\": \"159\", \"total_measure\": 204940.0}, {\"feature_3\": \"254\", \"total_measure\": 201465.0}, {\"feature_3\": \"89\", \"total_measure\": 197435.0}, {\"feature_3\": \"170\", \"total_measure\": 191410.0}, {\"feature_3\": \"152\", \"total_measure\": 189264.0}, {\"feature_3\": \"250\", \"total_measure\": 186882.0}, {\"feature_3\": \"118\", \"total_measure\": 185433.0}, {\"feature_3\": \"161\", \"total_measure\": 184097.0}, {\"feature_3\": \"223\", \"total_measure\": 179644.0}, {\"feature_3\": \"222\", \"total_measure\": 176013.0}, {\"feature_3\": \"22\", \"total_measure\": 169133.0}, {\"feature_3\": \"220\", \"total_measure\": 164187.0}, {\"feature_3\": \"253\", \"total_measure\": 164182.0}, {\"feature_3\": \"88\", \"total_measure\": 159691.0}, {\"feature_3\": \"156\", \"total_measure\": 159609.0}, {\"feature_3\": \"0\", \"total_measure\": 158287.0}, {\"feature_3\": \"226\", \"total_measure\": 157430.0}, {\"feature_3\": \"230\", \"total_measure\": 157345.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 121.03}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n12",
+  "started_at": "2026-05-19T15:30:52.113052+00:00",
+  "ended_at": "2026-05-19T15:31:02.765274+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n12_05d3d81cb0182d3a",
+    "problem_id": "v2p_n12_6932baaeef54aee1",
+    "dataset_id": "n12",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_rank_order",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_1.",
+    "bindings": {
+      "group_col": "feature_3",
+      "measure_col": "feature_1",
+      "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": 100.24,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=2/2",
+      "binding_index=6"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "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_a/n12/sql/v2q_n12_05d3d81cb0182d3a.sql",
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_05d3d81cb0182d3a",
+    "api_calls": 0,
+    "input_tokens": 13456,
+    "cached_input_tokens": 12672,
+    "output_tokens": 336,
+    "total_tokens": 13792,
+    "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": 10523.92,
+    "sql_execution_elapsed_ms_total": 121.03,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:31:02.641689+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": 10523.92, "started_at": "2026-05-19T15:30:52.116748+00:00", "ended_at": "2026-05-19T15:31:02.640706+00:00", "prompt_metrics": {"chars": 4550, "bytes_utf8": 4550, "lines": 144, "estimated_tokens": null}, "response_metrics": {"chars": 401, "bytes_utf8": 401, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13456, "cached_input_tokens": 12672, "output_tokens": 336, "reasoning_output_tokens": 226}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col bound to \\\"feature_3\\\" and measure_col bound to \\\"feature_1\\\". CAST to REAL is added because the schema stores numeric fields as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n12_05d3d81cb0182d3a",
+  "api_calls": 0,
+  "input_tokens": 13456,
+  "cached_input_tokens": 12672,
+  "output_tokens": 336,
+  "total_tokens": 13792,
+  "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": 10523.92,
+  "sql_execution_elapsed_ms_total": 121.03,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_05d3d81cb0182d3a/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_1, group_col_2=feature_2.
+Result preview: [{"feature_1": "199", "feature_2": "197", "row_count": 2442}, {"feature_1": "178", "feature_2": "175", "row_count": 2081}, {"feature_1": "201", "feature_2": "200", "row_count": 1616}, {"feature_1": "181", "feature_2": "178", "row_count": 1537}, {"feature_1": "182", "feature_2": "179", "row_count": 1518}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n12
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_n12_086e2e90e6c65e06
+-- problem_id: v2p_n12_f3e5557242a4a88a
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "feature_1", "feature_2", COUNT(*) AS row_count
+FROM "n12"
+WHERE CAST("feature_1" AS REAL) >= 115.0
+GROUP BY "feature_1", "feature_2"
+ORDER BY row_count DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/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_c2_filtered_group_count_2d\nSELECT \"feature_1\", \"feature_2\", COUNT(*) AS row_count\nFROM \"n12\"\nWHERE CAST(\"feature_1\" AS REAL) >= 115.0\nGROUP BY \"feature_1\", \"feature_2\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_1\\\", \\\"feature_2\\\", COUNT(*) AS row_count\\nFROM \\\"n12\\\"\\nWHERE CAST(\\\"feature_1\\\" AS REAL) >= 115.0\\nGROUP BY \\\"feature_1\\\", \\\"feature_2\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"feature_1\", \"feature_2\", \"row_count\"], \"rows\": [{\"feature_1\": \"199\", \"feature_2\": \"197\", \"row_count\": 2442}, {\"feature_1\": \"178\", \"feature_2\": \"175\", \"row_count\": 2081}, {\"feature_1\": \"201\", \"feature_2\": \"200\", \"row_count\": 1616}, {\"feature_1\": \"181\", \"feature_2\": \"178\", \"row_count\": 1537}, {\"feature_1\": \"182\", \"feature_2\": \"179\", \"row_count\": 1518}, {\"feature_1\": \"179\", \"feature_2\": \"176\", \"row_count\": 1338}, {\"feature_1\": \"179\", \"feature_2\": \"177\", \"row_count\": 1331}, {\"feature_1\": \"180\", \"feature_2\": \"177\", \"row_count\": 1191}, {\"feature_1\": \"172\", \"feature_2\": \"171\", \"row_count\": 1146}, {\"feature_1\": \"198\", \"feature_2\": \"198\", \"row_count\": 1136}, {\"feature_1\": \"200\", \"feature_2\": \"198\", \"row_count\": 1116}, {\"feature_1\": \"164\", \"feature_2\": \"163\", \"row_count\": 1093}, {\"feature_1\": \"171\", \"feature_2\": \"170\", \"row_count\": 1052}, {\"feature_1\": \"173\", \"feature_2\": \"172\", \"row_count\": 925}, {\"feature_1\": \"177\", \"feature_2\": \"174\", \"row_count\": 872}, {\"feature_1\": \"178\", \"feature_2\": \"176\", \"row_count\": 871}, {\"feature_1\": \"178\", \"feature_2\": \"178\", \"row_count\": 815}, {\"feature_1\": \"197\", \"feature_2\": \"195\", \"row_count\": 808}, {\"feature_1\": \"164\", \"feature_2\": \"162\", \"row_count\": 803}, {\"feature_1\": \"180\", \"feature_2\": \"179\", \"row_count\": 792}, {\"feature_1\": \"201\", \"feature_2\": \"199\", \"row_count\": 788}, {\"feature_1\": \"163\", \"feature_2\": \"162\", \"row_count\": 771}, {\"feature_1\": \"180\", \"feature_2\": \"178\", \"row_count\": 755}, {\"feature_1\": \"136\", \"feature_2\": \"139\", \"row_count\": 724}, {\"feature_1\": \"175\", \"feature_2\": \"173\", \"row_count\": 720}, {\"feature_1\": \"205\", \"feature_2\": \"204\", \"row_count\": 708}, {\"feature_1\": \"176\", \"feature_2\": \"174\", \"row_count\": 701}, {\"feature_1\": \"157\", \"feature_2\": \"161\", \"row_count\": 675}, {\"feature_1\": \"196\", \"feature_2\": \"195\", \"row_count\": 654}, {\"feature_1\": \"165\", \"feature_2\": \"164\", \"row_count\": 640}, {\"feature_1\": \"165\", \"feature_2\": \"163\", \"row_count\": 630}, {\"feature_1\": \"167\", \"feature_2\": \"163\", \"row_count\": 630}, {\"feature_1\": \"177\", \"feature_2\": \"175\", \"row_count\": 607}, {\"feature_1\": \"174\", \"feature_2\": \"172\", \"row_count\": 603}, {\"feature_1\": \"183\", \"feature_2\": \"180\", \"row_count\": 599}, {\"feature_1\": \"199\", \"feature_2\": \"198\", \"row_count\": 597}, {\"feature_1\": \"170\", \"feature_2\": \"169\", \"row_count\": 566}, {\"feature_1\": \"202\", \"feature_2\": \"201\", \"row_count\": 539}, {\"feature_1\": \"255\", \"feature_2\": \"255\", \"row_count\": 537}, {\"feature_1\": \"175\", \"feature_2\": \"172\", \"row_count\": 513}, {\"feature_1\": \"172\", \"feature_2\": \"168\", \"row_count\": 502}, {\"feature_1\": \"198\", \"feature_2\": \"196\", \"row_count\": 491}, {\"feature_1\": \"255\", \"feature_2\": \"0\", \"row_count\": 491}, {\"feature_1\": \"195\", \"feature_2\": \"194\", \"row_count\": 481}, {\"feature_1\": \"202\", \"feature_2\": \"200\", \"row_count\": 481}, {\"feature_1\": \"181\", \"feature_2\": \"181\", \"row_count\": 474}, {\"feature_1\": \"182\", \"feature_2\": \"180\", \"row_count\": 470}, {\"feature_1\": \"197\", \"feature_2\": \"196\", \"row_count\": 470}, {\"feature_1\": \"172\", \"feature_2\": \"170\", \"row_count\": 462}, {\"feature_1\": \"181\", \"feature_2\": \"179\", \"row_count\": 451}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 166.5}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n12",
+  "started_at": "2026-05-19T15:38:22.001962+00:00",
+  "ended_at": "2026-05-19T15:38:32.773972+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n12_086e2e90e6c65e06",
+    "problem_id": "v2p_n12_f3e5557242a4a88a",
+    "dataset_id": "n12",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "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 Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_1, group_col_2=feature_2.",
+    "bindings": {
+      "group_col": "feature_1",
+      "group_col_2": "feature_2",
+      "predicate_col": "feature_1",
+      "predicate_op": ">=",
+      "predicate_value": 115.0,
+      "top_k": 13,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 115.0,
+      "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",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1",
+      "binding_index=48"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/sql/v2q_n12_086e2e90e6c65e06.sql",
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_086e2e90e6c65e06",
+    "api_calls": 0,
+    "input_tokens": 13552,
+    "cached_input_tokens": 12032,
+    "output_tokens": 452,
+    "total_tokens": 14004,
+    "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": 10598.51,
+    "sql_execution_elapsed_ms_total": 166.5,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:38:32.604978+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": 10598.51, "started_at": "2026-05-19T15:38:22.005003+00:00", "ended_at": "2026-05-19T15:38:32.603549+00:00", "prompt_metrics": {"chars": 4861, "bytes_utf8": 4861, "lines": 148, "estimated_tokens": null}, "response_metrics": {"chars": 459, "bytes_utf8": 459, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13552, "cached_input_tokens": 12032, "output_tokens": 452, "reasoning_output_tokens": 320}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_1\\\", \\\"feature_2\\\", COUNT(*) AS row_count\\nFROM \\\"n12\\\"\\nWHERE CAST(\\\"feature_1\\\" AS REAL) >= 115.0\\nGROUP BY \\\"feature_1\\\", \\\"feature_2\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the required template with group_col=\\\"feature_1\\\", group_col_2=\\\"feature_2\\\", and predicate_col=\\\"feature_1\\\". Applied CAST to REAL in the WHERE clause because the schema stores numeric features as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n12_086e2e90e6c65e06",
+  "api_calls": 0,
+  "input_tokens": 13552,
+  "cached_input_tokens": 12032,
+  "output_tokens": 452,
+  "total_tokens": 14004,
+  "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": 10598.51,
+  "sql_execution_elapsed_ms_total": 166.5,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_086e2e90e6c65e06/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 4959, "bytes_utf8": 4959, "lines": 146, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 680, "bytes_utf8": 680, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13576, "cached_input_tokens": 12672, "output_tokens": 888, "reasoning_output_tokens": 681}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_088223b408a97f40",
+    "api_calls": 0,
+    "input_tokens": 13576,
+    "cached_input_tokens": 12672,
+    "output_tokens": 888,
+    "total_tokens": 14464,
+    "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": 19420.2,
+    "sql_execution_elapsed_ms_total": 152.53,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:36:25.949865+00:00",
+  "ended_at": "2026-05-19T15:36:45.370093+00:00",
+  "elapsed_ms": 19420.2,
+  "prompt_metrics": {
+    "chars": 4959,
+    "bytes_utf8": 4959,
+    "lines": 146,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1071,
+    "bytes_utf8": 1071,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 680,
+      "bytes_utf8": 680,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 13576,
+      "cached_input_tokens": 12672,
+      "output_tokens": 888,
+      "reasoning_output_tokens": 681
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,146 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: n12
+- dataset_name: Skin Segmentation
+- table_name: n12
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 3 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 245057
+- important_fields:
+- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 1.
+- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 2.
+- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for feature 3.
+- target: role=target, type=categorical_ordinal_target. ordered=['1', '2'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['feature_1', 'feature_2', 'target'], ['feature_1', 'feature_1', 'target']]
+- fields_requiring_caution: ['target', 'feature_1', 'feature_2', 'feature_3']
+- source_url: https://archive.ics.uci.edu/dataset/229/skin+segmentation
+
+SQLite schema snapshot:
+{
+  "table_name": "n12",
+  "quoted_table_name": "\"n12\"",
+  "row_count": 245057,
+  "columns": [
+    {
+      "name": "feature_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "feature_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "feature_1": "74",
+      "feature_2": "85",
+      "feature_3": "123",
+      "target": "1"
+    },
+    {
+      "feature_1": "73",
+      "feature_2": "84",
+      "feature_3": "122",
+      "target": "1"
+    },
+    {
+      "feature_1": "72",
+      "feature_2": "83",
+      "feature_3": "121",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    },
+    {
+      "feature_1": "70",
+      "feature_2": "81",
+      "feature_3": "119",
+      "target": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "n12",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, measure_col=feature_3.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "feature_1",
+    "measure_col": "feature_3",
+    "item_col": "feature_1",
+    "top_k": 12,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 186.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {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;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-9569-7f92-a238-fd26f6abb4c7"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_1\\\" AS \\\"group_col\\\",\\n  \\\"feature_1\\\" AS \\\"item_col\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0\\n    / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_1\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the provided template with group_col=feature_1, item_col=feature_1, and measure_col=feature_3. Cast feature_3 from TEXT to REAL for aggregation; because item_col equals group_col, each group's within-group share will evaluate to 100%.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":13576,"cached_input_tokens":12672,"output_tokens":888,"reasoning_output_tokens":681}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"feature_1\" AS \"group_col\",\n  \"feature_1\" AS \"item_col\",\n  SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"feature_3\" AS REAL)) * 100.0\n    / SUM(SUM(CAST(\"feature_3\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS \"share_within_group\"\nFROM \"n12\"\nGROUP BY \"feature_1\", \"feature_1\"\nORDER BY \"share_within_group\" DESC;","notes":"Used the provided template with group_col=feature_1, item_col=feature_1, and measure_col=feature_3. Cast feature_3 from TEXT to REAL for aggregation; because item_col equals group_col, each group's within-group share will evaluate to 100%."}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, measure_col=feature_3.
+Result preview: [{"group_col": "0", "item_col": "0", "total_measure": 328917.0, "share_within_group": 100.0}, {"group_col": "1", "item_col": "1", "total_measure": 47602.0, "share_within_group": 100.0}, {"group_col": "10", "item_col": "10", "total_measure": 13977.0, "share_within_group": 100.0}, {"group_col": "100", "item_col": "100", "total_measure": 132601.0, "share_within_group": 100.0}, {"group_col": "101", "item_col": "101", "total_measure": 122784.0, "share_within_group": 100.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_a
+-- sql_source_dataset_id: n12
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: within_group_proportion
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_n12_088223b408a97f40
+-- problem_id: v2p_n12_726521e528a7e88b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "feature_1" AS "group_col",
+  "feature_1" AS "item_col",
+  SUM(CAST("feature_3" AS REAL)) AS "total_measure",
+  SUM(CAST("feature_3" AS REAL)) * 100.0
+    / SUM(SUM(CAST("feature_3" AS REAL))) OVER (PARTITION BY "feature_1") AS "share_within_group"
+FROM "n12"
+GROUP BY "feature_1", "feature_1"
+ORDER BY "share_within_group" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/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  \"feature_1\" AS \"group_col\",\n  \"feature_1\" AS \"item_col\",\n  SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"feature_3\" AS REAL)) * 100.0\n    / SUM(SUM(CAST(\"feature_3\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS \"share_within_group\"\nFROM \"n12\"\nGROUP BY \"feature_1\", \"feature_1\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_1\\\" AS \\\"group_col\\\",\\n  \\\"feature_1\\\" AS \\\"item_col\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0\\n    / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_1\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"group_col\", \"item_col\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"group_col\": \"0\", \"item_col\": \"0\", \"total_measure\": 328917.0, \"share_within_group\": 100.0}, {\"group_col\": \"1\", \"item_col\": \"1\", \"total_measure\": 47602.0, \"share_within_group\": 100.0}, {\"group_col\": \"10\", \"item_col\": \"10\", \"total_measure\": 13977.0, \"share_within_group\": 100.0}, {\"group_col\": \"100\", \"item_col\": \"100\", \"total_measure\": 132601.0, \"share_within_group\": 100.0}, {\"group_col\": \"101\", \"item_col\": \"101\", \"total_measure\": 122784.0, \"share_within_group\": 100.0}, {\"group_col\": \"102\", \"item_col\": \"102\", \"total_measure\": 115189.0, \"share_within_group\": 100.0}, {\"group_col\": \"103\", \"item_col\": \"103\", \"total_measure\": 118724.0, \"share_within_group\": 100.0}, {\"group_col\": \"104\", \"item_col\": \"104\", \"total_measure\": 117550.0, \"share_within_group\": 100.0}, {\"group_col\": \"105\", \"item_col\": \"105\", \"total_measure\": 109383.0, \"share_within_group\": 100.0}, {\"group_col\": \"106\", \"item_col\": \"106\", \"total_measure\": 108596.0, \"share_within_group\": 100.0}, {\"group_col\": \"107\", \"item_col\": \"107\", \"total_measure\": 111857.0, \"share_within_group\": 100.0}, {\"group_col\": \"108\", \"item_col\": \"108\", \"total_measure\": 116494.0, \"share_within_group\": 100.0}, {\"group_col\": \"109\", \"item_col\": \"109\", \"total_measure\": 123896.0, \"share_within_group\": 100.0}, {\"group_col\": \"11\", \"item_col\": \"11\", \"total_measure\": 14452.0, \"share_within_group\": 100.0}, {\"group_col\": \"110\", \"item_col\": \"110\", \"total_measure\": 121054.0, \"share_within_group\": 100.0}, {\"group_col\": \"111\", \"item_col\": \"111\", \"total_measure\": 122101.0, \"share_within_group\": 100.0}, {\"group_col\": \"112\", \"item_col\": \"112\", \"total_measure\": 127130.0, \"share_within_group\": 100.0}, {\"group_col\": \"113\", \"item_col\": \"113\", \"total_measure\": 117688.0, \"share_within_group\": 100.0}, {\"group_col\": \"114\", \"item_col\": \"114\", \"total_measure\": 126420.0, \"share_within_group\": 100.0}, {\"group_col\": \"115\", \"item_col\": \"115\", \"total_measure\": 115026.0, \"share_within_group\": 100.0}, {\"group_col\": \"116\", \"item_col\": \"116\", \"total_measure\": 131088.0, \"share_within_group\": 100.0}, {\"group_col\": \"117\", \"item_col\": \"117\", \"total_measure\": 140187.0, \"share_within_group\": 100.0}, {\"group_col\": \"118\", \"item_col\": \"118\", \"total_measure\": 132293.0, \"share_within_group\": 100.0}, {\"group_col\": \"119\", \"item_col\": \"119\", \"total_measure\": 129375.0, \"share_within_group\": 100.0}, {\"group_col\": \"12\", \"item_col\": \"12\", \"total_measure\": 16578.0, \"share_within_group\": 100.0}, {\"group_col\": \"120\", \"item_col\": \"120\", \"total_measure\": 132631.0, \"share_within_group\": 100.0}, {\"group_col\": \"121\", \"item_col\": \"121\", \"total_measure\": 142627.0, \"share_within_group\": 100.0}, {\"group_col\": \"122\", \"item_col\": \"122\", \"total_measure\": 136350.0, \"share_within_group\": 100.0}, {\"group_col\": \"123\", \"item_col\": \"123\", \"total_measure\": 136814.0, \"share_within_group\": 100.0}, {\"group_col\": \"124\", \"item_col\": \"124\", \"total_measure\": 142741.0, \"share_within_group\": 100.0}, {\"group_col\": \"125\", \"item_col\": \"125\", \"total_measure\": 123863.0, \"share_within_group\": 100.0}, {\"group_col\": \"126\", \"item_col\": \"126\", \"total_measure\": 151257.0, \"share_within_group\": 100.0}, {\"group_col\": \"127\", \"item_col\": \"127\", \"total_measure\": 154619.0, \"share_within_group\": 100.0}, {\"group_col\": \"128\", \"item_col\": \"128\", \"total_measure\": 196904.0, \"share_within_group\": 100.0}, {\"group_col\": \"129\", \"item_col\": \"129\", \"total_measure\": 155924.0, \"share_within_group\": 100.0}, {\"group_col\": \"13\", \"item_col\": \"13\", \"total_measure\": 17392.0, \"share_within_group\": 100.0}, {\"group_col\": \"130\", \"item_col\": \"130\", \"total_measure\": 156085.0, \"share_within_group\": 100.0}, {\"group_col\": \"131\", \"item_col\": \"131\", \"total_measure\": 159784.0, \"share_within_group\": 100.0}, {\"group_col\": \"132\", \"item_col\": \"132\", \"total_measure\": 170529.0, \"share_within_group\": 100.0}, {\"group_col\": \"133\", \"item_col\": \"133\", \"total_measure\": 163861.0, \"share_within_group\": 100.0}, {\"group_col\": \"134\", \"item_col\": \"134\", \"total_measure\": 158995.0, \"share_within_group\": 100.0}, {\"group_col\": \"135\", \"item_col\": \"135\", \"total_measure\": 165311.0, \"share_within_group\": 100.0}, {\"group_col\": \"136\", \"item_col\": \"136\", \"total_measure\": 197011.0, \"share_within_group\": 100.0}, {\"group_col\": \"137\", \"item_col\": \"137\", \"total_measure\": 137583.0, \"share_within_group\": 100.0}, {\"group_col\": \"138\", \"item_col\": \"138\", \"total_measure\": 192138.0, \"share_within_group\": 100.0}, {\"group_col\": \"139\", \"item_col\": \"139\", \"total_measure\": 184204.0, \"share_within_group\": 100.0}, {\"group_col\": \"14\", \"item_col\": \"14\", \"total_measure\": 23157.0, \"share_within_group\": 100.0}, {\"group_col\": \"140\", \"item_col\": \"140\", \"total_measure\": 199058.0, \"share_within_group\": 100.0}, {\"group_col\": \"141\", \"item_col\": \"141\", \"total_measure\": 174435.0, \"share_within_group\": 100.0}, {\"group_col\": \"142\", \"item_col\": \"142\", \"total_measure\": 178628.0, \"share_within_group\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 152.53}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_a",
+  "dataset_id": "n12",
+  "started_at": "2026-05-19T15:36:25.946392+00:00",
+  "ended_at": "2026-05-19T15:36:45.526236+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_n12_088223b408a97f40",
+    "problem_id": "v2p_n12_726521e528a7e88b",
+    "dataset_id": "n12",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, measure_col=feature_3.",
+    "bindings": {
+      "group_col": "feature_1",
+      "measure_col": "feature_3",
+      "item_col": "feature_1",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 186.0,
+      "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=9",
+      "sql_variant_index=1/2",
+      "binding_index=32"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 9,
+    "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_a/n12/sql/v2q_n12_088223b408a97f40.sql",
+  "usage_summary": {
+    "dataset_id": "n12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_n12_088223b408a97f40",
+    "api_calls": 0,
+    "input_tokens": 13576,
+    "cached_input_tokens": 12672,
+    "output_tokens": 888,
+    "total_tokens": 14464,
+    "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": 19420.2,
+    "sql_execution_elapsed_ms_total": 152.53,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:36:45.370978+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": 19420.2, "started_at": "2026-05-19T15:36:25.949865+00:00", "ended_at": "2026-05-19T15:36:45.370093+00:00", "prompt_metrics": {"chars": 4959, "bytes_utf8": 4959, "lines": 146, "estimated_tokens": null}, "response_metrics": {"chars": 680, "bytes_utf8": 680, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13576, "cached_input_tokens": 12672, "output_tokens": 888, "reasoning_output_tokens": 681}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"feature_1\\\" AS \\\"group_col\\\",\\n  \\\"feature_1\\\" AS \\\"item_col\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0\\n    / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n12\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_1\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the provided template with group_col=feature_1, item_col=feature_1, and measure_col=feature_3. Cast feature_3 from TEXT to REAL for aggregation; because item_col equals group_col, each group's within-group share will evaluate to 100%.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "n12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_n12_088223b408a97f40",
+  "api_calls": 0,
+  "input_tokens": 13576,
+  "cached_input_tokens": 12672,
+  "output_tokens": 888,
+  "total_tokens": 14464,
+  "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": 19420.2,
+  "sql_execution_elapsed_ms_total": 152.53,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_088223b408a97f40/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/n12/artifacts/v2q_n12_0c487fef45548ebe/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5102, "bytes_utf8": 5102, "lines": 144, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 642, "bytes_utf8": 642, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13592, "cached_input_tokens": 12672, "output_tokens": 468, "reasoning_output_tokens": 296}}