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Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/run_manifest.json

@@ -0,0 +1,72 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T16:02:38.753552+00:00",
+  "ended_at": "2026-05-19T16:02:47.097487+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_00f9a0eebf4d7fc9",
+    "problem_id": "v2p_m12_538954245cf51f8a",
+    "dataset_id": "m12",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=agent, condition_col=babies.",
+    "bindings": {
+      "group_col": "agent",
+      "condition_col": "babies",
+      "condition_value": "0",
+      "positive_value": "0",
+      "negative_value": "1",
+      "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": 3.0,
+      "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=1/2",
+      "binding_index=102"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:02:42.593805+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": 3831.84, "started_at": "2026-05-19T16:02:38.761305+00:00", "ended_at": "2026-05-19T16:02:42.593165+00:00", "prompt_metrics": {"chars": 17127, "bytes_utf8": 17127, "lines": 483, "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\":\"019e40f9-9555-7ec1-8372-dba4d5e91dbe\"}\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": "2026-05-19T16:02:47.097397+00:00", "event_type": "ai_cli_sql_generation_error", "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": 1, "elapsed_ms": 3501.91, "started_at": "2026-05-19T16:02:43.594730+00:00", "ended_at": "2026-05-19T16:02:47.096672+00:00", "prompt_metrics": {"chars": 17127, "bytes_utf8": 17127, "lines": 483, "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\":\"019e40f9-a81f-7700-9b97-ab1315e7db00\"}\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: "}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_01f8f62bb942df9d/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"customer_type": "Transient", "total_rows": 89613, "missing_rows": 0, "missing_rate": 0.0}, {"customer_type": "Transient-Party", "total_rows": 25124, "missing_rows": 0, "missing_rate": 0.0}, {"customer_type": "Contract", "total_rows": 4076, "missing_rows": 0, "missing_rate": 0.0}, {"customer_type": "Group", "total_rows": 577, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_01f8f62bb942df9d/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: m12
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m12_01f8f62bb942df9d
+-- problem_id: v2p_m12_6f15a88d7cc1ef51
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "customer_type",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "agent" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "agent" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m12"
+GROUP BY "customer_type"
+ORDER BY missing_rate DESC, total_rows DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_01f8f62bb942df9d/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_c\n-- sql_source_dataset_id: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m12_01f8f62bb942df9d\n-- problem_id: v2p_m12_6f15a88d7cc1ef51\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"customer_type\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"agent\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"agent\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"customer_type\"\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_c\\n-- sql_source_dataset_id: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m12_01f8f62bb942df9d\\n-- problem_id: v2p_m12_6f15a88d7cc1ef51\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"customer_type\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"agent\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"agent\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"customer_type\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"customer_type\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"customer_type\": \"Transient\", \"total_rows\": 89613, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"customer_type\": \"Transient-Party\", \"total_rows\": 25124, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"customer_type\": \"Contract\", \"total_rows\": 4076, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"customer_type\": \"Group\", \"total_rows\": 577, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 60.71}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_01f8f62bb942df9d/run_manifest.json

@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T16:10:24.465482+00:00",
+  "ended_at": "2026-05-19T16:10:24.527274+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_01f8f62bb942df9d",
+    "problem_id": "v2p_m12_6f15a88d7cc1ef51",
+    "dataset_id": "m12",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=customer_type, missing_col=agent.",
+    "bindings": {
+      "missing_col": "agent",
+      "target_col": "customer_type"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_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 {target_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=7",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "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_c/m12/sql/v2q_m12_01f8f62bb942df9d.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_c/m12/artifacts/v2q_m12_01f8f62bb942df9d/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_c/m12/artifacts/v2q_m12_041eea874a44681c/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=arrival_date_month, measure_col=arrival_date_day_of_month.
+Result preview: [{"arrival_date_month": "August", "company": "", "total_measure": 213502, "share_within_group": 98.05274131770628}, {"arrival_date_month": "July", "company": "", "total_measure": 199526, "share_within_group": 97.81932991459696}, {"arrival_date_month": "April", "company": "", "total_measure": 173266, "share_within_group": 95.80540994846615}, {"arrival_date_month": "June", "company": "", "total_measure": 158379, "share_within_group": 95.76092871394884}, {"arrival_date_month": "December", "company": "", "total_measure": 103636, "share_within_group": 95.23441951076069}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: m12
+-- 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_m12_041eea874a44681c
+-- problem_id: v2p_m12_9e3be1f553bfd074
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "arrival_date_month", "company",
+       SUM(CAST("arrival_date_day_of_month" AS INTEGER)) AS total_measure,
+       SUM(CAST("arrival_date_day_of_month" AS INTEGER)) * 100.0 / SUM(SUM(CAST("arrival_date_day_of_month" AS INTEGER))) OVER (PARTITION BY "arrival_date_month") AS share_within_group
+FROM "m12"
+GROUP BY "arrival_date_month", "company"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/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 \"arrival_date_month\", \"company\",\n       SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER)) AS total_measure,\n       SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER))) OVER (PARTITION BY \"arrival_date_month\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"arrival_date_month\", \"company\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"arrival_date_month\\\", \\\"company\\\",\\n       SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) AS total_measure,\\n       SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER))) OVER (PARTITION BY \\\"arrival_date_month\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_month\\\", \\\"company\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"arrival_date_month\", \"company\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"arrival_date_month\": \"August\", \"company\": \"\", \"total_measure\": 213502, \"share_within_group\": 98.05274131770628}, {\"arrival_date_month\": \"July\", \"company\": \"\", \"total_measure\": 199526, \"share_within_group\": 97.81932991459696}, {\"arrival_date_month\": \"April\", \"company\": \"\", \"total_measure\": 173266, \"share_within_group\": 95.80540994846615}, {\"arrival_date_month\": \"June\", \"company\": \"\", \"total_measure\": 158379, \"share_within_group\": 95.76092871394884}, {\"arrival_date_month\": \"December\", \"company\": \"\", \"total_measure\": 103636, \"share_within_group\": 95.23441951076069}, {\"arrival_date_month\": \"September\", \"company\": \"\", \"total_measure\": 158727, \"share_within_group\": 95.0005985156811}, {\"arrival_date_month\": \"October\", \"company\": \"\", \"total_measure\": 162282, \"share_within_group\": 94.01057808725474}, {\"arrival_date_month\": \"March\", \"company\": \"\", \"total_measure\": 148110, \"share_within_group\": 92.57627182208554}, {\"arrival_date_month\": \"May\", \"company\": \"\", \"total_measure\": 173787, \"share_within_group\": 91.95030714123206}, {\"arrival_date_month\": \"February\", \"company\": \"\", \"total_measure\": 116178, \"share_within_group\": 91.42762707462757}, {\"arrival_date_month\": \"January\", \"company\": \"\", \"total_measure\": 86506, \"share_within_group\": 90.52532440351611}, {\"arrival_date_month\": \"November\", \"company\": \"\", \"total_measure\": 85573, \"share_within_group\": 87.2730795904214}, {\"arrival_date_month\": \"February\", \"company\": \"67\", \"total_measure\": 3154, \"share_within_group\": 2.482076949107192}, {\"arrival_date_month\": \"November\", \"company\": \"233\", \"total_measure\": 2105, \"share_within_group\": 2.1468200546648717}, {\"arrival_date_month\": \"March\", \"company\": \"223\", \"total_measure\": 3278, \"share_within_group\": 2.04891647446355}, {\"arrival_date_month\": \"November\", \"company\": \"40\", \"total_measure\": 1922, \"share_within_group\": 1.960184391955289}, {\"arrival_date_month\": \"May\", \"company\": \"223\", \"total_measure\": 3319, \"share_within_group\": 1.7560753646806102}, {\"arrival_date_month\": \"October\", \"company\": \"223\", \"total_measure\": 2783, \"share_within_group\": 1.6122024550894736}, {\"arrival_date_month\": \"September\", \"company\": \"223\", \"total_measure\": 2689, \"share_within_group\": 1.6094086665070624}, {\"arrival_date_month\": \"January\", \"company\": \"40\", \"total_measure\": 1475, \"share_within_group\": 1.5435328589367936}, {\"arrival_date_month\": \"January\", \"company\": \"67\", \"total_measure\": 1400, \"share_within_group\": 1.4650481372959396}, {\"arrival_date_month\": \"December\", \"company\": \"40\", \"total_measure\": 1380, \"share_within_group\": 1.2681259304184815}, {\"arrival_date_month\": \"November\", \"company\": \"342\", \"total_measure\": 1008, \"share_within_group\": 1.0280259454167178}, {\"arrival_date_month\": \"September\", \"company\": \"40\", \"total_measure\": 1476, \"share_within_group\": 0.8834091453196073}, {\"arrival_date_month\": \"November\", \"company\": \"281\", \"total_measure\": 847, \"share_within_group\": 0.8638273569126586}, {\"arrival_date_month\": \"October\", \"company\": \"40\", \"total_measure\": 1485, \"share_within_group\": 0.8602661321623672}, {\"arrival_date_month\": \"December\", \"company\": \"308\", \"total_measure\": 930, \"share_within_group\": 0.8546066052820201}, {\"arrival_date_month\": \"February\", \"company\": \"498\", \"total_measure\": 1007, \"share_within_group\": 0.792470351220971}, {\"arrival_date_month\": \"July\", \"company\": \"40\", \"total_measure\": 1552, \"share_within_group\": 0.7608812887917088}, {\"arrival_date_month\": \"January\", \"company\": \"365\", \"total_measure\": 727, \"share_within_group\": 0.7607785684386773}, {\"arrival_date_month\": \"February\", \"company\": \"40\", \"total_measure\": 931, \"share_within_group\": 0.7326612681099542}, {\"arrival_date_month\": \"February\", \"company\": \"242\", \"total_measure\": 915, \"share_within_group\": 0.7200698821918455}, {\"arrival_date_month\": \"November\", \"company\": \"348\", \"total_measure\": 696, \"share_within_group\": 0.7098274385020193}, {\"arrival_date_month\": \"May\", \"company\": \"202\", \"total_measure\": 1178, \"share_within_group\": 0.6232771255178544}, {\"arrival_date_month\": \"June\", \"company\": \"40\", \"total_measure\": 983, \"share_within_group\": 0.5943527420037488}, {\"arrival_date_month\": \"February\", \"company\": \"405\", \"total_measure\": 744, \"share_within_group\": 0.585499445192058}, {\"arrival_date_month\": \"June\", \"company\": \"280\", \"total_measure\": 945, \"share_within_group\": 0.5713767458733902}, {\"arrival_date_month\": \"November\", \"company\": \"343\", \"total_measure\": 534, \"share_within_group\": 0.5446089829886183}, {\"arrival_date_month\": \"March\", \"company\": \"40\", \"total_measure\": 859, \"share_within_group\": 0.5369186246382519}, {\"arrival_date_month\": \"August\", \"company\": \"40\", \"total_measure\": 1082, \"share_within_group\": 0.49691837128344557}, {\"arrival_date_month\": \"January\", \"company\": \"45\", \"total_measure\": 471, \"share_within_group\": 0.4928840519045626}, {\"arrival_date_month\": \"May\", \"company\": \"40\", \"total_measure\": 925, \"share_within_group\": 0.48941539991851896}, {\"arrival_date_month\": \"January\", \"company\": \"94\", \"total_measure\": 450, \"share_within_group\": 0.4709083298451235}, {\"arrival_date_month\": \"June\", \"company\": \"348\", \"total_measure\": 735, \"share_within_group\": 0.4444041356793035}, {\"arrival_date_month\": \"May\", \"company\": \"169\", \"total_measure\": 831, \"share_within_group\": 0.4396802133322046}, {\"arrival_date_month\": \"June\", \"company\": \"153\", \"total_measure\": 708, \"share_within_group\": 0.4280790857972066}, {\"arrival_date_month\": \"May\", \"company\": \"153\", \"total_measure\": 788, \"share_within_group\": 0.416929010957614}, {\"arrival_date_month\": \"May\", \"company\": \"218\", \"total_measure\": 711, \"share_within_group\": 0.3761884857752075}, {\"arrival_date_month\": \"April\", \"company\": \"40\", \"total_measure\": 604, \"share_within_group\": 0.3339747417778073}, {\"arrival_date_month\": \"October\", \"company\": \"153\", \"total_measure\": 565, \"share_within_group\": 0.3273066428765909}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 112.16}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T15:38:15.933937+00:00",
+  "ended_at": "2026-05-19T15:38:34.721567+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_041eea874a44681c",
+    "problem_id": "v2p_m12_9e3be1f553bfd074",
+    "dataset_id": "m12",
+    "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=arrival_date_month, measure_col=arrival_date_day_of_month.",
+    "bindings": {
+      "group_col": "arrival_date_month",
+      "measure_col": "arrival_date_day_of_month",
+      "item_col": "company",
+      "top_k": 16,
+      "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": 13.64,
+      "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=8",
+      "sql_variant_index=2/2",
+      "binding_index=31"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 8,
+    "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_c/m12/sql/v2q_m12_041eea874a44681c.sql",
+  "usage_summary": {
+    "dataset_id": "m12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m12_041eea874a44681c",
+    "api_calls": 0,
+    "input_tokens": 16781,
+    "cached_input_tokens": 15744,
+    "output_tokens": 934,
+    "total_tokens": 17715,
+    "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": 18662.32,
+    "sql_execution_elapsed_ms_total": 112.16,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:38:34.606617+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": 18662.32, "started_at": "2026-05-19T15:38:15.943124+00:00", "ended_at": "2026-05-19T15:38:34.605479+00:00", "prompt_metrics": {"chars": 17354, "bytes_utf8": 17354, "lines": 482, "estimated_tokens": null}, "response_metrics": {"chars": 687, "bytes_utf8": 687, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16781, "cached_input_tokens": 15744, "output_tokens": 934, "reasoning_output_tokens": 759}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"arrival_date_month\\\", \\\"company\\\",\\n       SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) AS total_measure,\\n       SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER))) OVER (PARTITION BY \\\"arrival_date_month\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_month\\\", \\\"company\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"arrival_date_month\\\", item_col=\\\"company\\\", and measure_col=\\\"arrival_date_day_of_month\\\". The measure is cast to INTEGER because the schema stores it as TEXT in SQLite.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m12_041eea874a44681c",
+  "api_calls": 0,
+  "input_tokens": 16781,
+  "cached_input_tokens": 15744,
+  "output_tokens": 934,
+  "total_tokens": 17715,
+  "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": 18662.32,
+  "sql_execution_elapsed_ms_total": 112.16,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T15:52:18.495631+00:00",
+  "ended_at": "2026-05-19T15:52:26.152247+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_054db4cfee2eed19",
+    "problem_id": "v2p_m12_5bcaf3f0c08fe04d",
+    "dataset_id": "m12",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=reservation_status, measure_col=company.",
+    "bindings": {
+      "group_col": "reservation_status",
+      "measure_col": "company",
+      "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": 197.8,
+      "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=9",
+      "sql_variant_index=2/2",
+      "binding_index=80"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T15:52:21.861315+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": 3356.88, "started_at": "2026-05-19T15:52:18.503622+00:00", "ended_at": "2026-05-19T15:52:21.860527+00:00", "prompt_metrics": {"chars": 17464, "bytes_utf8": 17464, "lines": 480, "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\":\"019e40f0-1e64-7f02-a1a0-56e967b9f206\"}\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": "2026-05-19T15:52:26.152159+00:00", "event_type": "ai_cli_sql_generation_error", "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": 1, "elapsed_ms": 3288.34, "started_at": "2026-05-19T15:52:22.863097+00:00", "ended_at": "2026-05-19T15:52:26.151476+00:00", "prompt_metrics": {"chars": 17464, "bytes_utf8": 17464, "lines": 480, "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\":\"019e40f0-2f46-75a3-8e9d-4a13ed075355\"}\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: "}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/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=days_in_waiting_list.
+Result preview: [{"days_in_waiting_list": 391}, {"days_in_waiting_list": 391}, {"days_in_waiting_list": 391}, {"days_in_waiting_list": 391}, {"days_in_waiting_list": 391}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: m12
+-- 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_m12_05de8da3ad43140e
+-- problem_id: v2p_m12_1ebad5117652eb83
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+  SELECT
+    CAST(NULLIF("days_in_waiting_list", '') AS INTEGER) AS "days_in_waiting_list",
+    NTILE(10) OVER (
+      ORDER BY CAST(NULLIF("days_in_waiting_list", '') AS INTEGER) DESC
+    ) AS "tail_bucket"
+  FROM "m12"
+  WHERE NULLIF("days_in_waiting_list", '') IS NOT NULL
+)
+SELECT "days_in_waiting_list"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY "days_in_waiting_list" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/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    CAST(NULLIF(\"days_in_waiting_list\", '') AS INTEGER) AS \"days_in_waiting_list\",\n    NTILE(10) OVER (\n      ORDER BY CAST(NULLIF(\"days_in_waiting_list\", '') AS INTEGER) DESC\n    ) AS \"tail_bucket\"\n  FROM \"m12\"\n  WHERE NULLIF(\"days_in_waiting_list\", '') IS NOT NULL\n)\nSELECT \"days_in_waiting_list\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"days_in_waiting_list\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n  SELECT\\n    CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER) AS \\\"days_in_waiting_list\\\",\\n    NTILE(10) OVER (\\n      ORDER BY CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER) DESC\\n    ) AS \\\"tail_bucket\\\"\\n  FROM \\\"m12\\\"\\n  WHERE NULLIF(\\\"days_in_waiting_list\\\", '') IS NOT NULL\\n)\\nSELECT \\\"days_in_waiting_list\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"days_in_waiting_list\\\" DESC;\", \"columns\": [\"days_in_waiting_list\"], \"rows\": [{\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 391}, {\"days_in_waiting_list\": 379}, {\"days_in_waiting_list\": 379}, {\"days_in_waiting_list\": 379}, {\"days_in_waiting_list\": 379}, {\"days_in_waiting_list\": 379}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 178.29}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T15:47:10.767569+00:00",
+  "ended_at": "2026-05-19T15:47:27.414277+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_05de8da3ad43140e",
+    "problem_id": "v2p_m12_1ebad5117652eb83",
+    "dataset_id": "m12",
+    "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=days_in_waiting_list.",
+    "bindings": {
+      "measure_col": "days_in_waiting_list",
+      "top_k": 12,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 101.0,
+      "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=8",
+      "sql_variant_index=1/1",
+      "binding_index=67"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "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_c/m12/sql/v2q_m12_05de8da3ad43140e.sql",
+  "usage_summary": {
+    "dataset_id": "m12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m12_05de8da3ad43140e",
+    "api_calls": 0,
+    "input_tokens": 16714,
+    "cached_input_tokens": 15744,
+    "output_tokens": 717,
+    "total_tokens": 17431,
+    "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": 16452.38,
+    "sql_execution_elapsed_ms_total": 178.29,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:47:27.232591+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": 16452.38, "started_at": "2026-05-19T15:47:10.778863+00:00", "ended_at": "2026-05-19T15:47:27.231287+00:00", "prompt_metrics": {"chars": 17083, "bytes_utf8": 17083, "lines": 478, "estimated_tokens": null}, "response_metrics": {"chars": 721, "bytes_utf8": 721, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16714, "cached_input_tokens": 15744, "output_tokens": 717, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n  SELECT\\n    CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER) AS \\\"days_in_waiting_list\\\",\\n    NTILE(10) OVER (\\n      ORDER BY CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER) DESC\\n    ) AS \\\"tail_bucket\\\"\\n  FROM \\\"m12\\\"\\n  WHERE NULLIF(\\\"days_in_waiting_list\\\", '') IS NOT NULL\\n)\\nSELECT \\\"days_in_waiting_list\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"days_in_waiting_list\\\" DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"days_in_waiting_list\\\" and num_tiles=10. Casted the TEXT field to INTEGER for numeric ordering and filtered blank values before assigning NTILE buckets.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m12_05de8da3ad43140e",
+  "api_calls": 0,
+  "input_tokens": 16714,
+  "cached_input_tokens": 15744,
+  "output_tokens": 717,
+  "total_tokens": 17431,
+  "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": 16452.38,
+  "sql_execution_elapsed_ms_total": 178.29,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T16:09:27.319792+00:00",
+  "ended_at": "2026-05-19T16:09:35.713915+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_05ec60a8d0f21f0f",
+    "problem_id": "v2p_m12_41d893e1d8f2e745",
+    "dataset_id": "m12",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=lead_time, measure_col=days_in_waiting_list.",
+    "bindings": {
+      "group_col": "lead_time",
+      "measure_col": "days_in_waiting_list",
+      "top_k": 17,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 78.68,
+      "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_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=137"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 6,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:09:30.236122+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": 2904.93, "started_at": "2026-05-19T16:09:27.330446+00:00", "ended_at": "2026-05-19T16:09:30.235402+00:00", "prompt_metrics": {"chars": 17001, "bytes_utf8": 17001, "lines": 480, "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\":\"019e40ff-d12e-78c0-a79e-2da05919fa60\"}\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": "2026-05-19T16:09:35.713827+00:00", "event_type": "ai_cli_sql_generation_error", "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": 1, "elapsed_ms": 4474.41, "started_at": "2026-05-19T16:09:31.238659+00:00", "ended_at": "2026-05-19T16:09:35.713111+00:00", "prompt_metrics": {"chars": 17001, "bytes_utf8": 17001, "lines": 480, "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\":\"019e40ff-e067-76f0-b447-29660f9cc8bc\"}\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: "}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_06622f02488bc608/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"market_segment": "Online TA", "total_rows": 56477, "missing_rows": 0, "missing_rate": 0.0}, {"market_segment": "Offline TA/TO", "total_rows": 24219, "missing_rows": 0, "missing_rate": 0.0}, {"market_segment": "Groups", "total_rows": 19811, "missing_rows": 0, "missing_rate": 0.0}, {"market_segment": "Direct", "total_rows": 12606, "missing_rows": 0, "missing_rate": 0.0}, {"market_segment": "Corporate", "total_rows": 5295, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_06622f02488bc608/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: m12
+-- family_id: missingness_structure
+-- canonical_subitem_id: co_missingness_pattern_consistency
+-- intended_facet_id: missing_target_interaction
+-- variant_semantic_role: missing_target_interaction
+-- template_id: tpl_missing_target_interaction
+-- query_record_id: v2q_m12_06622f02488bc608
+-- problem_id: v2p_m12_9ca25fc231c6112b
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "market_segment",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "country" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "country" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m12"
+GROUP BY "market_segment"
+ORDER BY missing_rate DESC, total_rows DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_06622f02488bc608/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_c\n-- sql_source_dataset_id: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m12_06622f02488bc608\n-- problem_id: v2p_m12_9ca25fc231c6112b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"market_segment\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"country\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"country\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"market_segment\"\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_c\\n-- sql_source_dataset_id: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m12_06622f02488bc608\\n-- problem_id: v2p_m12_9ca25fc231c6112b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"market_segment\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"country\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"country\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"market_segment\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"market_segment\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"market_segment\": \"Online TA\", \"total_rows\": 56477, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"market_segment\": \"Offline TA/TO\", \"total_rows\": 24219, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"market_segment\": \"Groups\", \"total_rows\": 19811, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"market_segment\": \"Direct\", \"total_rows\": 12606, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"market_segment\": \"Corporate\", \"total_rows\": 5295, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"market_segment\": \"Complementary\", \"total_rows\": 743, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"market_segment\": \"Aviation\", \"total_rows\": 237, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"market_segment\": \"Undefined\", \"total_rows\": 2, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 59.72}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_06622f02488bc608/run_manifest.json

@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T16:10:24.404184+00:00",
+  "ended_at": "2026-05-19T16:10:24.465006+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_06622f02488bc608",
+    "problem_id": "v2p_m12_9ca25fc231c6112b",
+    "dataset_id": "m12",
+    "template_id": "tpl_missing_target_interaction",
+    "template_name": "Missingness-Target Interaction",
+    "family_id": "missingness_structure",
+    "canonical_subitem_id": "co_missingness_pattern_consistency",
+    "intended_facet_id": "missing_target_interaction",
+    "variant_semantic_role": "missing_target_interaction",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": false,
+    "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=market_segment, missing_col=country.",
+    "bindings": {
+      "missing_col": "country",
+      "target_col": "market_segment"
+    },
+    "binding_roles": [
+      "missing_col",
+      "target_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {target_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 {target_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_c/m12/sql/v2q_m12_06622f02488bc608.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_c/m12/artifacts/v2q_m12_06622f02488bc608/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_c/m12/artifacts/v2q_m12_067bcd415287d614/run_manifest.json

@@ -0,0 +1,67 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T16:07:53.620935+00:00",
+  "ended_at": "2026-05-19T16:08:00.732688+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_067bcd415287d614",
+    "problem_id": "v2p_m12_bf3cb5fd3e0afcc3",
+    "dataset_id": "m12",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "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 Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=booking_changes.",
+    "bindings": {
+      "group_col": "booking_changes",
+      "top_k": 17,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 2016.5,
+      "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=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=127"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:07:56.913847+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": 3283.8, "started_at": "2026-05-19T16:07:53.629116+00:00", "ended_at": "2026-05-19T16:07:56.912941+00:00", "prompt_metrics": {"chars": 16895, "bytes_utf8": 16895, "lines": 478, "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\":\"019e40fe-6317-78e0-af71-03ecb78af2a3\"}\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": "2026-05-19T16:08:00.732599+00:00", "event_type": "ai_cli_sql_generation_error", "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": 1, "elapsed_ms": 2816.14, "started_at": "2026-05-19T16:07:57.915599+00:00", "ended_at": "2026-05-19T16:08:00.731781+00:00", "prompt_metrics": {"chars": 16895, "bytes_utf8": 16895, "lines": 478, "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\":\"019e40fe-73fe-7020-9795-413dc6682eba\"}\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: "}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0857c2b0bb75cb70/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"arrival_date_day_of_month": "17", "total_rows": 4406, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_day_of_month": "5", "total_rows": 4317, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_day_of_month": "15", "total_rows": 4196, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_day_of_month": "25", "total_rows": 4160, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_day_of_month": "26", "total_rows": 4147, "missing_rows": 0, "missing_rate": 0.0}]}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0857c2b0bb75cb70/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: m12
+-- 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_m12_0857c2b0bb75cb70
+-- problem_id: v2p_m12_3b2e7dc930d0dd61
+-- realization_mode: deterministic
+-- source_kind: deterministic
+SELECT
+    "arrival_date_day_of_month",
+    COUNT(*) AS total_rows,
+    SUM(CASE WHEN "company" IS NULL THEN 1 ELSE 0 END) AS missing_rows,
+    AVG(CASE WHEN "company" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate
+FROM "m12"
+GROUP BY "arrival_date_day_of_month"
+ORDER BY missing_rate DESC, total_rows DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0857c2b0bb75cb70/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_c\n-- sql_source_dataset_id: m12\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_m12_0857c2b0bb75cb70\n-- problem_id: v2p_m12_3b2e7dc930d0dd61\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n    \"arrival_date_day_of_month\",\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN \"company\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN \"company\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"arrival_date_day_of_month\"\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_c\\n-- sql_source_dataset_id: m12\\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_m12_0857c2b0bb75cb70\\n-- problem_id: v2p_m12_3b2e7dc930d0dd61\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n    \\\"arrival_date_day_of_month\\\",\\n    COUNT(*) AS total_rows,\\n    SUM(CASE WHEN \\\"company\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n    AVG(CASE WHEN \\\"company\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_day_of_month\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"arrival_date_day_of_month\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"arrival_date_day_of_month\": \"17\", \"total_rows\": 4406, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"5\", \"total_rows\": 4317, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"15\", \"total_rows\": 4196, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"25\", \"total_rows\": 4160, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"26\", \"total_rows\": 4147, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"9\", \"total_rows\": 4096, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"12\", \"total_rows\": 4087, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"16\", \"total_rows\": 4078, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"2\", \"total_rows\": 4055, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"19\", \"total_rows\": 4052, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"20\", \"total_rows\": 4032, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"18\", \"total_rows\": 4002, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"24\", \"total_rows\": 3993, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"28\", \"total_rows\": 3946, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"8\", \"total_rows\": 3921, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"3\", \"total_rows\": 3855, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"30\", \"total_rows\": 3853, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"6\", \"total_rows\": 3833, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"14\", \"total_rows\": 3819, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"27\", \"total_rows\": 3802, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"21\", \"total_rows\": 3767, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"4\", \"total_rows\": 3763, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"13\", \"total_rows\": 3745, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"7\", \"total_rows\": 3665, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"1\", \"total_rows\": 3626, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"23\", \"total_rows\": 3616, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"11\", \"total_rows\": 3599, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"22\", \"total_rows\": 3596, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"29\", \"total_rows\": 3580, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"10\", \"total_rows\": 3575, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"31\", \"total_rows\": 2208, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 31, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 61.31}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0857c2b0bb75cb70/run_manifest.json

@@ -0,0 +1,59 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T16:10:24.052595+00:00",
+  "ended_at": "2026-05-19T16:10:24.114954+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_0857c2b0bb75cb70",
+    "problem_id": "v2p_m12_3b2e7dc930d0dd61",
+    "dataset_id": "m12",
+    "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=arrival_date_day_of_month, missing_col=company.",
+    "bindings": {
+      "missing_col": "company",
+      "group_col": "arrival_date_day_of_month"
+    },
+    "binding_roles": [
+      "missing_col",
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS total_rows,\n    SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n    AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;",
+    "notes": [
+      "default_facets=missing_rate_by_subgroup,missing_target_interaction",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=12",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 12,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/sql/v2q_m12_0857c2b0bb75cb70.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_c/m12/artifacts/v2q_m12_0857c2b0bb75cb70/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_c/m12/artifacts/v2q_m12_0e2ce2cf4f7a2585/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "A", "support": 74053, "support_share": 0.6202613284194656, "cumulative_support": 74053}, {"value_label": "D", "support": 25322, "support_share": 0.21209481531116509, "cumulative_support": 99375}, {"value_label": "E", "support": 7806, "support_share": 0.06538236033168607, "cumulative_support": 107181}, {"value_label": "F", "support": 3751, "support_share": 0.03141804171203618, "cumulative_support": 110932}, {"value_label": "G", "support": 2553, "support_share": 0.02138370047742692, "cumulative_support": 113485}]}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e2ce2cf4f7a2585/generated_sql.sql

@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: m12
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_cardinality_distinct_share_profile
+-- query_record_id: v2q_m12_0e2ce2cf4f7a2585
+-- problem_id: v2p_m12_9cddcc9bf80839af
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "assigned_room_type" AS value_label, COUNT(*) AS support
+    FROM "m12"
+    GROUP BY "assigned_room_type"
+), ranked AS (
+    SELECT
+        value_label,
+        support,
+        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
+    FROM grouped
+)
+SELECT *
+FROM ranked
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e2ce2cf4f7a2585/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_c\n-- sql_source_dataset_id: m12\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m12_0e2ce2cf4f7a2585\n-- problem_id: v2p_m12_9cddcc9bf80839af\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"assigned_room_type\" AS value_label, COUNT(*) AS support\n    FROM \"m12\"\n    GROUP BY \"assigned_room_type\"\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m12\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m12_0e2ce2cf4f7a2585\\n-- problem_id: v2p_m12_9cddcc9bf80839af\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"assigned_room_type\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"m12\\\"\\n    GROUP BY \\\"assigned_room_type\\\"\\n), ranked AS (\\n    SELECT\\n        value_label,\\n        support,\\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n    FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"A\", \"support\": 74053, \"support_share\": 0.6202613284194656, \"cumulative_support\": 74053}, {\"value_label\": \"D\", \"support\": 25322, \"support_share\": 0.21209481531116509, \"cumulative_support\": 99375}, {\"value_label\": \"E\", \"support\": 7806, \"support_share\": 0.06538236033168607, \"cumulative_support\": 107181}, {\"value_label\": \"F\", \"support\": 3751, \"support_share\": 0.03141804171203618, \"cumulative_support\": 110932}, {\"value_label\": \"G\", \"support\": 2553, \"support_share\": 0.02138370047742692, \"cumulative_support\": 113485}, {\"value_label\": \"C\", \"support\": 2375, \"support_share\": 0.019892788340732055, \"cumulative_support\": 115860}, {\"value_label\": \"B\", \"support\": 2163, \"support_share\": 0.01811709523410671, \"cumulative_support\": 118023}, {\"value_label\": \"H\", \"support\": 712, \"support_share\": 0.005963648546779462, \"cumulative_support\": 118735}, {\"value_label\": \"I\", \"support\": 363, \"support_share\": 0.003040455649551889, \"cumulative_support\": 119098}, {\"value_label\": \"K\", \"support\": 279, \"support_share\": 0.002336879135605997, \"cumulative_support\": 119377}, {\"value_label\": \"P\", \"support\": 12, \"support_share\": 0.0001005109305636988, \"cumulative_support\": 119389}, {\"value_label\": \"L\", \"support\": 1, \"support_share\": 8.375910880308233e-06, \"cumulative_support\": 119390}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 51.1}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e2ce2cf4f7a2585/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T16:10:25.252017+00:00",
+  "ended_at": "2026-05-19T16:10:25.304260+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_0e2ce2cf4f7a2585",
+    "problem_id": "v2p_m12_9cddcc9bf80839af",
+    "dataset_id": "m12",
+    "template_id": "tpl_cardinality_distinct_share_profile",
+    "template_name": "Cardinality Distinct Share Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=assigned_room_type.",
+    "bindings": {
+      "group_col": "assigned_room_type"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=9",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 9,
+    "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_c/m12/sql/v2q_m12_0e2ce2cf4f7a2585.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_c/m12/artifacts/v2q_m12_0e2ce2cf4f7a2585/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_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/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 rare_extreme_view. Focus on group_col=distribution_channel.
+Result preview: [{"distribution_channel": "Undefined", "support": 5}, {"distribution_channel": "GDS", "support": 193}, {"distribution_channel": "Corporate", "support": 6677}, {"distribution_channel": "Direct", "support": 14645}, {"distribution_channel": "TA/TO", "support": 97870}]

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: m12
+-- 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_tail_low_support_group_count_v2
+-- query_record_id: v2q_m12_0e4b12ac713d4a5f
+-- problem_id: v2p_m12_a961c9fa8c4f90ca
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "distribution_channel",
+    COUNT(*) AS "support"
+FROM "m12"
+GROUP BY "distribution_channel"
+ORDER BY "support" ASC, "distribution_channel"
+LIMIT 12;

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/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_tail_low_support_group_count_v2\nSELECT\n    \"distribution_channel\",\n    COUNT(*) AS \"support\"\nFROM \"m12\"\nGROUP BY \"distribution_channel\"\nORDER BY \"support\" ASC, \"distribution_channel\"\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"distribution_channel\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"distribution_channel\\\"\\nORDER BY \\\"support\\\" ASC, \\\"distribution_channel\\\"\\nLIMIT 12;\", \"columns\": [\"distribution_channel\", \"support\"], \"rows\": [{\"distribution_channel\": \"Undefined\", \"support\": 5}, {\"distribution_channel\": \"GDS\", \"support\": 193}, {\"distribution_channel\": \"Corporate\", \"support\": 6677}, {\"distribution_channel\": \"Direct\", \"support\": 14645}, {\"distribution_channel\": \"TA/TO\", \"support\": 97870}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 58.13}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T16:06:09.226100+00:00",
+  "ended_at": "2026-05-19T16:06:20.771312+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_0e4b12ac713d4a5f",
+    "problem_id": "v2p_m12_a961c9fa8c4f90ca",
+    "dataset_id": "m12",
+    "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": "rare_extreme_view",
+    "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 rare_extreme_view. Focus on group_col=distribution_channel.",
+    "bindings": {
+      "group_col": "distribution_channel",
+      "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": 223.0,
+      "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=3",
+      "sql_variant_index=1/2",
+      "binding_index=122"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "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_c/m12/sql/v2q_m12_0e4b12ac713d4a5f.sql",
+  "usage_summary": {
+    "dataset_id": "m12",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m12_0e4b12ac713d4a5f",
+    "api_calls": 0,
+    "input_tokens": 16666,
+    "cached_input_tokens": 12032,
+    "output_tokens": 194,
+    "total_tokens": 16860,
+    "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": 10470.11,
+    "sql_execution_elapsed_ms_total": 58.13,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:06:12.607573+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": 3370.35, "started_at": "2026-05-19T16:06:09.236464+00:00", "ended_at": "2026-05-19T16:06:12.606837+00:00", "prompt_metrics": {"chars": 16902, "bytes_utf8": 16902, "lines": 478, "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\":\"019e40fc-cb4a-78e1-8229-078ca79a5516\"}\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": "2026-05-19T16:06:20.711190+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": 7099.76, "started_at": "2026-05-19T16:06:13.609804+00:00", "ended_at": "2026-05-19T16:06:20.709604+00:00", "prompt_metrics": {"chars": 16902, "bytes_utf8": 16902, "lines": 478, "estimated_tokens": null}, "response_metrics": {"chars": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16666, "cached_input_tokens": 12032, "output_tokens": 194, "reasoning_output_tokens": 100}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"distribution_channel\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"distribution_channel\\\"\\nORDER BY \\\"support\\\" ASC, \\\"distribution_channel\\\"\\nLIMIT 12;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"distribution_channel\\\" and top_k=12.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "m12",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_m12_0e4b12ac713d4a5f",
+  "api_calls": 0,
+  "input_tokens": 16666,
+  "cached_input_tokens": 12032,
+  "output_tokens": 194,
+  "total_tokens": 16860,
+  "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": 10470.11,
+  "sql_execution_elapsed_ms_total": 58.13,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/run_manifest.json

@@ -0,0 +1,72 @@
+{
+  "run_id": "v2_cli_20260502_081223_c",
+  "dataset_id": "m12",
+  "started_at": "2026-05-19T16:01:15.916640+00:00",
+  "ended_at": "2026-05-19T16:01:23.368448+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_m12_0f560de10f87d9c1",
+    "problem_id": "v2p_m12_13df4b1740610a6c",
+    "dataset_id": "m12",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=reserved_room_type, condition_col=hotel.",
+    "bindings": {
+      "group_col": "reserved_room_type",
+      "condition_col": "hotel",
+      "condition_value": "City Hotel",
+      "positive_value": "City Hotel",
+      "negative_value": "Resort Hotel",
+      "top_k": 13,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 53.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=98"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:01:18.987483+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": 3060.49, "started_at": "2026-05-19T16:01:15.925408+00:00", "ended_at": "2026-05-19T16:01:18.985929+00:00", "prompt_metrics": {"chars": 17181, "bytes_utf8": 17181, "lines": 483, "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\":\"019e40f8-51b3-7bb2-a95c-1580ac338b01\"}\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": "2026-05-19T16:01:23.368354+00:00", "event_type": "ai_cli_sql_generation_error", "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": 1, "elapsed_ms": 3378.2, "started_at": "2026-05-19T16:01:19.989291+00:00", "ended_at": "2026-05-19T16:01:23.367542+00:00", "prompt_metrics": {"chars": 17181, "bytes_utf8": 17181, "lines": 483, "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\":\"019e40f8-6185-7593-824b-0d157a76f052\"}\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: "}

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=reserved_room_type.
+Result preview: [{"reserved_room_type": "L", "support": 6}, {"reserved_room_type": "P", "support": 12}, {"reserved_room_type": "H", "support": 601}, {"reserved_room_type": "C", "support": 932}, {"reserved_room_type": "B", "support": 1118}]

Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_c
+-- sql_source_dataset_id: m12
+-- 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_tail_low_support_group_count_v2
+-- query_record_id: v2q_m12_11d20a5cbcc1f938
+-- problem_id: v2p_m12_0eab6c0896375ace
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "reserved_room_type",
+  COUNT(*) AS "support"
+FROM "m12"
+GROUP BY "reserved_room_type"
+ORDER BY "support" ASC, "reserved_room_type" ASC
+LIMIT 10;