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Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0101ea7639439717/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=category_id, measure_col=views.
+Result preview: [{"category_id": "10", "total_measure": 40132892190}, {"category_id": "24", "total_measure": 20604388195}, {"category_id": "1", "total_measure": 7284156721}, {"category_id": "23", "total_measure": 5117426208}, {"category_id": "22", "total_measure": 4917191726}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0101ea7639439717/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- family_id: subgroup_structure
+-- canonical_subitem_id: internal_profile_stability
+-- intended_facet_id: subgroup_conditional_contrast
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_c19_0101ea7639439717
+-- problem_id: v2p_c19_9aad01fbbbe1929f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "category_id", SUM(CAST("views" AS NUMERIC)) AS total_measure
+FROM "c19"
+GROUP BY "category_id"
+ORDER BY total_measure DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0101ea7639439717/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"category_id\", SUM(CAST(\"views\" AS NUMERIC)) AS total_measure\nFROM \"c19\"\nGROUP BY \"category_id\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"category_id\\\", SUM(CAST(\\\"views\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c19\\\"\\nGROUP BY \\\"category_id\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"category_id\", \"total_measure\"], \"rows\": [{\"category_id\": \"10\", \"total_measure\": 40132892190}, {\"category_id\": \"24\", \"total_measure\": 20604388195}, {\"category_id\": \"1\", \"total_measure\": 7284156721}, {\"category_id\": \"23\", \"total_measure\": 5117426208}, {\"category_id\": \"22\", \"total_measure\": 4917191726}, {\"category_id\": \"17\", \"total_measure\": 4404456673}, {\"category_id\": \"26\", \"total_measure\": 4078545064}, {\"category_id\": \"28\", \"total_measure\": 3487756816}, {\"category_id\": \"20\", \"total_measure\": 2141218625}, {\"category_id\": \"25\", \"total_measure\": 1473765704}, {\"category_id\": \"27\", \"total_measure\": 1180629990}, {\"category_id\": \"15\", \"total_measure\": 764651989}, {\"category_id\": \"2\", \"total_measure\": 520690717}, {\"category_id\": \"19\", \"total_measure\": 343557084}, {\"category_id\": \"29\", \"total_measure\": 168941392}, {\"category_id\": \"43\", \"total_measure\": 51501058}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 74.61}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0101ea7639439717/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:30:34.453083+00:00",
+  "ended_at": "2026-05-19T15:30:53.511163+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_0101ea7639439717",
+    "problem_id": "v2p_c19_9aad01fbbbe1929f",
+    "dataset_id": "c19",
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "internal_profile_stability",
+    "intended_facet_id": "subgroup_conditional_contrast",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=category_id, measure_col=views.",
+    "bindings": {
+      "group_col": "category_id",
+      "measure_col": "views",
+      "top_k": 19,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 1237851.4,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=2/2",
+      "binding_index=4"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/sql/v2q_c19_0101ea7639439717.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_0101ea7639439717",
+    "api_calls": 0,
+    "input_tokens": 17020,
+    "cached_input_tokens": 12288,
+    "output_tokens": 322,
+    "total_tokens": 17342,
+    "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": 18954.12,
+    "sql_execution_elapsed_ms_total": 74.61,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0101ea7639439717/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0101ea7639439717/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:30:53.434809+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": 18954.12, "started_at": "2026-05-19T15:30:34.478949+00:00", "ended_at": "2026-05-19T15:30:53.433106+00:00", "prompt_metrics": {"chars": 16567, "bytes_utf8": 16575, "lines": 288, "estimated_tokens": null}, "response_metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17020, "cached_input_tokens": 12288, "output_tokens": 322, "reasoning_output_tokens": 223}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"category_id\\\", SUM(CAST(\\\"views\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c19\\\"\\nGROUP BY \\\"category_id\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped numeric sum template with group_col=\\\"category_id\\\" and measure_col=\\\"views\\\". CAST is used because \\\"views\\\" is stored as TEXT in the schema snapshot.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0101ea7639439717/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_0101ea7639439717",
+  "api_calls": 0,
+  "input_tokens": 17020,
+  "cached_input_tokens": 12288,
+  "output_tokens": 322,
+  "total_tokens": 17342,
+  "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": 18954.12,
+  "sql_execution_elapsed_ms_total": 74.61,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0101ea7639439717/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_012179ca0858d5c4/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "24", "support": 9964, "support_share": 0.2433270653740018, "cumulative_support": 9964}, {"value_label": "10", "support": 6472, "support_share": 0.15805025763754915, "cumulative_support": 16436}, {"value_label": "26", "support": 4146, "support_share": 0.1012478937214584, "cumulative_support": 20582}, {"value_label": "23", "support": 3457, "support_share": 0.08442208600942636, "cumulative_support": 24039}, {"value_label": "22", "support": 3210, "support_share": 0.07839019267869789, "cumulative_support": 27249}]}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_012179ca0858d5c4/generated_sql.sql

@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- 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_c19_012179ca0858d5c4
+-- problem_id: v2p_c19_ff747a638912ec9a
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "category_id" AS value_label, COUNT(*) AS support
+    FROM "c19"
+    GROUP BY "category_id"
+), 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_d/c19/artifacts/v2q_c19_012179ca0858d5c4/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c19\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_c19_012179ca0858d5c4\n-- problem_id: v2p_c19_ff747a638912ec9a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"category_id\" AS value_label, COUNT(*) AS support\n    FROM \"c19\"\n    GROUP BY \"category_id\"\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_d\\n-- sql_source_dataset_id: c19\\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_c19_012179ca0858d5c4\\n-- problem_id: v2p_c19_ff747a638912ec9a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"category_id\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"c19\\\"\\n    GROUP BY \\\"category_id\\\"\\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\": \"24\", \"support\": 9964, \"support_share\": 0.2433270653740018, \"cumulative_support\": 9964}, {\"value_label\": \"10\", \"support\": 6472, \"support_share\": 0.15805025763754915, \"cumulative_support\": 16436}, {\"value_label\": \"26\", \"support\": 4146, \"support_share\": 0.1012478937214584, \"cumulative_support\": 20582}, {\"value_label\": \"23\", \"support\": 3457, \"support_share\": 0.08442208600942636, \"cumulative_support\": 24039}, {\"value_label\": \"22\", \"support\": 3210, \"support_share\": 0.07839019267869789, \"cumulative_support\": 27249}, {\"value_label\": \"25\", \"support\": 2487, \"support_share\": 0.06073408386041173, \"cumulative_support\": 29736}, {\"value_label\": \"28\", \"support\": 2401, \"support_share\": 0.05863391047400425, \"cumulative_support\": 32137}, {\"value_label\": \"1\", \"support\": 2345, \"support_share\": 0.05726635571076217, \"cumulative_support\": 34482}, {\"value_label\": \"17\", \"support\": 2174, \"support_share\": 0.053090429558719385, \"cumulative_support\": 36656}, {\"value_label\": \"27\", \"support\": 1656, \"support_share\": 0.04044054799873013, \"cumulative_support\": 38312}, {\"value_label\": \"15\", \"support\": 920, \"support_share\": 0.022466971110405628, \"cumulative_support\": 39232}, {\"value_label\": \"20\", \"support\": 817, \"support_share\": 0.019951647170871084, \"cumulative_support\": 40049}, {\"value_label\": \"19\", \"support\": 402, \"support_share\": 0.009817089550416372, \"cumulative_support\": 40451}, {\"value_label\": \"2\", \"support\": 384, \"support_share\": 0.009377518376517131, \"cumulative_support\": 40835}, {\"value_label\": \"29\", \"support\": 57, \"support_share\": 0.0013919753840142617, \"cumulative_support\": 40892}, {\"value_label\": \"43\", \"support\": 57, \"support_share\": 0.0013919753840142617, \"cumulative_support\": 40949}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 41.82}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_012179ca0858d5c4/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T16:08:06.408586+00:00",
+  "ended_at": "2026-05-19T16:08:06.451362+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_012179ca0858d5c4",
+    "problem_id": "v2p_c19_ff747a638912ec9a",
+    "dataset_id": "c19",
+    "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=category_id.",
+    "bindings": {
+      "group_col": "category_id"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n), ranked AS (\n    SELECT\n        value_label,\n        support,\n        CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n        SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n    FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/sql/v2q_c19_012179ca0858d5c4.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_012179ca0858d5c4/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_02fdecb9d0e95601/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "24", "support": 9964, "support_share": 0.2433270653740018, "support_rank": 1}, {"value_label": "10", "support": 6472, "support_share": 0.15805025763754915, "support_rank": 2}, {"value_label": "26", "support": 4146, "support_share": 0.1012478937214584, "support_rank": 3}, {"value_label": "23", "support": 3457, "support_share": 0.08442208600942636, "support_rank": 4}, {"value_label": "22", "support": 3210, "support_share": 0.07839019267869789, "support_rank": 5}]}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_02fdecb9d0e95601/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: support_concentration
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_c19_02fdecb9d0e95601
+-- problem_id: v2p_c19_25135705356dd359
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "category_id" AS value_label, COUNT(*) AS support
+    FROM "c19"
+    GROUP BY "category_id"
+)
+SELECT
+    value_label,
+    support,
+    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
+    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank
+FROM grouped
+ORDER BY support DESC, value_label;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_02fdecb9d0e95601/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c19_02fdecb9d0e95601\n-- problem_id: v2p_c19_25135705356dd359\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"category_id\" AS value_label, COUNT(*) AS support\n    FROM \"c19\"\n    GROUP BY \"category_id\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c19_02fdecb9d0e95601\\n-- problem_id: v2p_c19_25135705356dd359\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"category_id\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"c19\\\"\\n    GROUP BY \\\"category_id\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"24\", \"support\": 9964, \"support_share\": 0.2433270653740018, \"support_rank\": 1}, {\"value_label\": \"10\", \"support\": 6472, \"support_share\": 0.15805025763754915, \"support_rank\": 2}, {\"value_label\": \"26\", \"support\": 4146, \"support_share\": 0.1012478937214584, \"support_rank\": 3}, {\"value_label\": \"23\", \"support\": 3457, \"support_share\": 0.08442208600942636, \"support_rank\": 4}, {\"value_label\": \"22\", \"support\": 3210, \"support_share\": 0.07839019267869789, \"support_rank\": 5}, {\"value_label\": \"25\", \"support\": 2487, \"support_share\": 0.06073408386041173, \"support_rank\": 6}, {\"value_label\": \"28\", \"support\": 2401, \"support_share\": 0.05863391047400425, \"support_rank\": 7}, {\"value_label\": \"1\", \"support\": 2345, \"support_share\": 0.05726635571076217, \"support_rank\": 8}, {\"value_label\": \"17\", \"support\": 2174, \"support_share\": 0.053090429558719385, \"support_rank\": 9}, {\"value_label\": \"27\", \"support\": 1656, \"support_share\": 0.04044054799873013, \"support_rank\": 10}, {\"value_label\": \"15\", \"support\": 920, \"support_share\": 0.022466971110405628, \"support_rank\": 11}, {\"value_label\": \"20\", \"support\": 817, \"support_share\": 0.019951647170871084, \"support_rank\": 12}, {\"value_label\": \"19\", \"support\": 402, \"support_share\": 0.009817089550416372, \"support_rank\": 13}, {\"value_label\": \"2\", \"support\": 384, \"support_share\": 0.009377518376517131, \"support_rank\": 14}, {\"value_label\": \"29\", \"support\": 57, \"support_share\": 0.0013919753840142617, \"support_rank\": 15}, {\"value_label\": \"43\", \"support\": 57, \"support_share\": 0.0013919753840142617, \"support_rank\": 16}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 39.51}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_02fdecb9d0e95601/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T16:08:06.569912+00:00",
+  "ended_at": "2026-05-19T16:08:06.610306+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_02fdecb9d0e95601",
+    "problem_id": "v2p_c19_25135705356dd359",
+    "dataset_id": "c19",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=category_id.",
+    "bindings": {
+      "group_col": "category_id"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/sql/v2q_c19_02fdecb9d0e95601.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_02fdecb9d0e95601/usage_summary.json

@@ -0,0 +1,9 @@
+{
+  "engine": "template",
+  "input_tokens": 0,
+  "cached_input_tokens": 0,
+  "output_tokens": 0,
+  "total_tokens": 0,
+  "estimated_total_tokens": 0,
+  "usage_source": "none"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0379ec6e11a14074/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T16:06:55.130423+00:00",
+  "ended_at": "2026-05-19T16:07:02.066021+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_0379ec6e11a14074",
+    "problem_id": "v2p_c19_453feffc4629ffe0",
+    "dataset_id": "c19",
+    "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=video_error_or_removed, measure_col=comment_count.",
+    "bindings": {
+      "group_col": "video_error_or_removed",
+      "measure_col": "comment_count",
+      "top_k": 15,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 3738.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=4",
+      "sql_variant_index=2/2",
+      "binding_index=135"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 4,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0379ec6e11a14074/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:06:58.150562+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": 2992.14, "started_at": "2026-05-19T16:06:55.157616+00:00", "ended_at": "2026-05-19T16:06:58.149782+00:00", "prompt_metrics": {"chars": 16687, "bytes_utf8": 16695, "lines": 288, "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\":\"019e40fd-7eb4-7d62-a988-2bbddf662e48\"}\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": "2026-05-19T16:07:02.065923+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": 2912.83, "started_at": "2026-05-19T16:06:59.152330+00:00", "ended_at": "2026-05-19T16:07:02.065197+00:00", "prompt_metrics": {"chars": 16687, "bytes_utf8": 16695, "lines": 288, "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\":\"019e40fd-8e57-78f3-b2a6-881f16f301bf\"}\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_d/c19/artifacts/v2q_c19_059f45358b4402af/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=category_id, measure_col=views.
+Result preview: [{"category_id": "29", "percentile_measure": 17122007.8}, {"category_id": "10", "percentile_measure": 15649649.8}, {"category_id": "1", "percentile_measure": 7816143.2}, {"category_id": "20", "percentile_measure": 7076980.6}, {"category_id": "17", "percentile_measure": 5168769.4}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_059f45358b4402af/generated_sql.sql

@@ -0,0 +1,66 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_c19_059f45358b4402af
+-- problem_id: v2p_c19_019ffc94a5e79593
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ordered" AS (
+  SELECT
+    "category_id",
+    CAST("views" AS REAL) AS "measure_value",
+    ROW_NUMBER() OVER (
+      PARTITION BY "category_id"
+      ORDER BY CAST("views" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (
+      PARTITION BY "category_id"
+    ) AS "cnt"
+  FROM "c19"
+  WHERE "category_id" IS NOT NULL
+    AND TRIM("category_id") <> ''
+    AND "views" IS NOT NULL
+    AND TRIM("views") <> ''
+),
+"positions" AS (
+  SELECT DISTINCT
+    "category_id",
+    9 * ("cnt" - 1) AS "idx_num"
+  FROM "ordered"
+),
+"bounds" AS (
+  SELECT
+    "category_id",
+    1 + CAST("idx_num" / 10 AS INTEGER) AS "lo_rn",
+    1 + CAST("idx_num" / 10 AS INTEGER) + CASE
+      WHEN ("idx_num" % 10) = 0 THEN 0
+      ELSE 1
+    END AS "hi_rn",
+    ("idx_num" % 10) / 10.0 AS "weight"
+  FROM "positions"
+),
+"picked" AS (
+  SELECT
+    b."category_id",
+    b."weight",
+    lo."measure_value" AS "lo_val",
+    hi."measure_value" AS "hi_val"
+  FROM "bounds" AS b
+  JOIN "ordered" AS lo
+    ON lo."category_id" = b."category_id"
+   AND lo."rn" = b."lo_rn"
+  JOIN "ordered" AS hi
+    ON hi."category_id" = b."category_id"
+   AND hi."rn" = b."hi_rn"
+)
+SELECT
+  "category_id",
+  "lo_val" + "weight" * ("hi_val" - "lo_val") AS "percentile_measure"
+FROM "picked"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_059f45358b4402af/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_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    \"category_id\",\n    CAST(\"views\" AS REAL) AS \"measure_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"category_id\"\n      ORDER BY CAST(\"views\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"category_id\"\n    ) AS \"cnt\"\n  FROM \"c19\"\n  WHERE \"category_id\" IS NOT NULL\n    AND TRIM(\"category_id\") <> ''\n    AND \"views\" IS NOT NULL\n    AND TRIM(\"views\") <> ''\n),\n\"positions\" AS (\n  SELECT DISTINCT\n    \"category_id\",\n    9 * (\"cnt\" - 1) AS \"idx_num\"\n  FROM \"ordered\"\n),\n\"bounds\" AS (\n  SELECT\n    \"category_id\",\n    1 + CAST(\"idx_num\" / 10 AS INTEGER) AS \"lo_rn\",\n    1 + CAST(\"idx_num\" / 10 AS INTEGER) + CASE\n      WHEN (\"idx_num\" % 10) = 0 THEN 0\n      ELSE 1\n    END AS \"hi_rn\",\n    (\"idx_num\" % 10) / 10.0 AS \"weight\"\n  FROM \"positions\"\n),\n\"picked\" AS (\n  SELECT\n    b.\"category_id\",\n    b.\"weight\",\n    lo.\"measure_value\" AS \"lo_val\",\n    hi.\"measure_value\" AS \"hi_val\"\n  FROM \"bounds\" AS b\n  JOIN \"ordered\" AS lo\n    ON lo.\"category_id\" = b.\"category_id\"\n   AND lo.\"rn\" = b.\"lo_rn\"\n  JOIN \"ordered\" AS hi\n    ON hi.\"category_id\" = b.\"category_id\"\n   AND hi.\"rn\" = b.\"hi_rn\"\n)\nSELECT\n  \"category_id\",\n  \"lo_val\" + \"weight\" * (\"hi_val\" - \"lo_val\") AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"category_id\\\",\\n    CAST(\\\"views\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"category_id\\\"\\n      ORDER BY CAST(\\\"views\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"category_id\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"c19\\\"\\n  WHERE \\\"category_id\\\" IS NOT NULL\\n    AND TRIM(\\\"category_id\\\") <> ''\\n    AND \\\"views\\\" IS NOT NULL\\n    AND TRIM(\\\"views\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n  SELECT DISTINCT\\n    \\\"category_id\\\",\\n    9 * (\\\"cnt\\\" - 1) AS \\\"idx_num\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    \\\"category_id\\\",\\n    1 + CAST(\\\"idx_num\\\" / 10 AS INTEGER) AS \\\"lo_rn\\\",\\n    1 + CAST(\\\"idx_num\\\" / 10 AS INTEGER) + CASE\\n      WHEN (\\\"idx_num\\\" % 10) = 0 THEN 0\\n      ELSE 1\\n    END AS \\\"hi_rn\\\",\\n    (\\\"idx_num\\\" % 10) / 10.0 AS \\\"weight\\\"\\n  FROM \\\"positions\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    b.\\\"category_id\\\",\\n    b.\\\"weight\\\",\\n    lo.\\\"measure_value\\\" AS \\\"lo_val\\\",\\n    hi.\\\"measure_value\\\" AS \\\"hi_val\\\"\\n  FROM \\\"bounds\\\" AS b\\n  JOIN \\\"ordered\\\" AS lo\\n    ON lo.\\\"category_id\\\" = b.\\\"category_id\\\"\\n   AND lo.\\\"rn\\\" = b.\\\"lo_rn\\\"\\n  JOIN \\\"ordered\\\" AS hi\\n    ON hi.\\\"category_id\\\" = b.\\\"category_id\\\"\\n   AND hi.\\\"rn\\\" = b.\\\"hi_rn\\\"\\n)\\nSELECT\\n  \\\"category_id\\\",\\n  \\\"lo_val\\\" + \\\"weight\\\" * (\\\"hi_val\\\" - \\\"lo_val\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"category_id\", \"percentile_measure\"], \"rows\": [{\"category_id\": \"29\", \"percentile_measure\": 17122007.8}, {\"category_id\": \"10\", \"percentile_measure\": 15649649.8}, {\"category_id\": \"1\", \"percentile_measure\": 7816143.2}, {\"category_id\": \"20\", \"percentile_measure\": 7076980.6}, {\"category_id\": \"17\", \"percentile_measure\": 5168769.4}, {\"category_id\": \"24\", \"percentile_measure\": 4243888.2}, {\"category_id\": \"22\", \"percentile_measure\": 3870626.4}, {\"category_id\": \"23\", \"percentile_measure\": 3291763.0}, {\"category_id\": \"28\", \"percentile_measure\": 3044449.0}, {\"category_id\": \"26\", \"percentile_measure\": 2339392.0}, {\"category_id\": \"2\", \"percentile_measure\": 2259587.0}, {\"category_id\": \"15\", \"percentile_measure\": 2020807.0}, {\"category_id\": \"27\", \"percentile_measure\": 1608629.0}, {\"category_id\": \"19\", \"percentile_measure\": 1587529.3}, {\"category_id\": \"43\", \"percentile_measure\": 1348871.2}, {\"category_id\": \"25\", \"percentile_measure\": 1243662.4}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 176.09}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_059f45358b4402af/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:49:38.541462+00:00",
+  "ended_at": "2026-05-19T15:50:34.029866+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_059f45358b4402af",
+    "problem_id": "v2p_c19_019ffc94a5e79593",
+    "dataset_id": "c19",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=category_id, measure_col=views.",
+    "bindings": {
+      "group_col": "category_id",
+      "measure_col": "views",
+      "top_k": 19,
+      "top_n": 4,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 1237851.4,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=2/2",
+      "binding_index=84"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/sql/v2q_c19_059f45358b4402af.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_059f45358b4402af",
+    "api_calls": 0,
+    "input_tokens": 17058,
+    "cached_input_tokens": 15744,
+    "output_tokens": 4297,
+    "total_tokens": 21355,
+    "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": 55279.74,
+    "sql_execution_elapsed_ms_total": 176.09,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_059f45358b4402af/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_059f45358b4402af/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:50:33.852030+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": 55279.74, "started_at": "2026-05-19T15:49:38.571447+00:00", "ended_at": "2026-05-19T15:50:33.851220+00:00", "prompt_metrics": {"chars": 16745, "bytes_utf8": 16753, "lines": 288, "estimated_tokens": null}, "response_metrics": {"chars": 1672, "bytes_utf8": 1672, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17058, "cached_input_tokens": 15744, "output_tokens": 4297, "reasoning_output_tokens": 3761}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"category_id\\\",\\n    CAST(\\\"views\\\" AS REAL) AS \\\"measure_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"category_id\\\"\\n      ORDER BY CAST(\\\"views\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"category_id\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"c19\\\"\\n  WHERE \\\"category_id\\\" IS NOT NULL\\n    AND TRIM(\\\"category_id\\\") <> ''\\n    AND \\\"views\\\" IS NOT NULL\\n    AND TRIM(\\\"views\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n  SELECT DISTINCT\\n    \\\"category_id\\\",\\n    9 * (\\\"cnt\\\" - 1) AS \\\"idx_num\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    \\\"category_id\\\",\\n    1 + CAST(\\\"idx_num\\\" / 10 AS INTEGER) AS \\\"lo_rn\\\",\\n    1 + CAST(\\\"idx_num\\\" / 10 AS INTEGER) + CASE\\n      WHEN (\\\"idx_num\\\" % 10) = 0 THEN 0\\n      ELSE 1\\n    END AS \\\"hi_rn\\\",\\n    (\\\"idx_num\\\" % 10) / 10.0 AS \\\"weight\\\"\\n  FROM \\\"positions\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    b.\\\"category_id\\\",\\n    b.\\\"we"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_059f45358b4402af/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_059f45358b4402af",
+  "api_calls": 0,
+  "input_tokens": 17058,
+  "cached_input_tokens": 15744,
+  "output_tokens": 4297,
+  "total_tokens": 21355,
+  "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": 55279.74,
+  "sql_execution_elapsed_ms_total": 176.09,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_059f45358b4402af/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_05a5f607b8bb0aa4/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=comments_disabled, group_col_2=video_error_or_removed.
+Result preview: [{"comments_disabled": "False", "video_error_or_removed": "False", "row_count": 29}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_05a5f607b8bb0aa4/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_c19_05a5f607b8bb0aa4
+-- problem_id: v2p_c19_c589dbe278a6474c
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "comments_disabled", "video_error_or_removed", COUNT(*) AS "row_count"
+FROM "c19"
+WHERE "publish_time" = '2018-05-11T04:00:34.000Z'
+GROUP BY "comments_disabled", "video_error_or_removed"
+ORDER BY "row_count" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_05a5f607b8bb0aa4/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"comments_disabled\", \"video_error_or_removed\", COUNT(*) AS \"row_count\"\nFROM \"c19\"\nWHERE \"publish_time\" = '2018-05-11T04:00:34.000Z'\nGROUP BY \"comments_disabled\", \"video_error_or_removed\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"comments_disabled\\\", \\\"video_error_or_removed\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c19\\\"\\nWHERE \\\"publish_time\\\" = '2018-05-11T04:00:34.000Z'\\nGROUP BY \\\"comments_disabled\\\", \\\"video_error_or_removed\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"comments_disabled\", \"video_error_or_removed\", \"row_count\"], \"rows\": [{\"comments_disabled\": \"False\", \"video_error_or_removed\": \"False\", \"row_count\": 29}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 30.99}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_05a5f607b8bb0aa4/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:42:21.528308+00:00",
+  "ended_at": "2026-05-19T15:42:43.306459+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_05a5f607b8bb0aa4",
+    "problem_id": "v2p_c19_c589dbe278a6474c",
+    "dataset_id": "c19",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=comments_disabled, group_col_2=video_error_or_removed.",
+    "bindings": {
+      "group_col": "comments_disabled",
+      "group_col_2": "video_error_or_removed",
+      "predicate_col": "publish_time",
+      "predicate_op": "=",
+      "predicate_value": "2018-05-11T04:00:34.000Z",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 1823157.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1",
+      "binding_index=52"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/sql/v2q_c19_05a5f607b8bb0aa4.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_05a5f607b8bb0aa4",
+    "api_calls": 0,
+    "input_tokens": 17132,
+    "cached_input_tokens": 12032,
+    "output_tokens": 314,
+    "total_tokens": 17446,
+    "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": 21713.06,
+    "sql_execution_elapsed_ms_total": 30.99,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_05a5f607b8bb0aa4/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_05a5f607b8bb0aa4/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:42:43.274072+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": 21713.06, "started_at": "2026-05-19T15:42:21.560099+00:00", "ended_at": "2026-05-19T15:42:43.273192+00:00", "prompt_metrics": {"chars": 16948, "bytes_utf8": 16956, "lines": 292, "estimated_tokens": null}, "response_metrics": {"chars": 507, "bytes_utf8": 507, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17132, "cached_input_tokens": 12032, "output_tokens": 314, "reasoning_output_tokens": 168}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"comments_disabled\\\", \\\"video_error_or_removed\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c19\\\"\\nWHERE \\\"publish_time\\\" = '2018-05-11T04:00:34.000Z'\\nGROUP BY \\\"comments_disabled\\\", \\\"video_error_or_removed\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"comments_disabled\\\", group_col_2=\\\"video_error_or_removed\\\", and predicate publish_time = '2018-05-11T04:00:34.000Z'.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_05a5f607b8bb0aa4/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_05a5f607b8bb0aa4",
+  "api_calls": 0,
+  "input_tokens": 17132,
+  "cached_input_tokens": 12032,
+  "output_tokens": 314,
+  "total_tokens": 17446,
+  "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": 21713.06,
+  "sql_execution_elapsed_ms_total": 30.99,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_05a5f607b8bb0aa4/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0640f5b0f3cbd6ff/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=category_id, condition_col=category_id.
+Result preview: [{"category_id": "10", "condition_ratio": 0.0}, {"category_id": "1", "condition_ratio": null}, {"category_id": "15", "condition_ratio": null}, {"category_id": "17", "condition_ratio": null}, {"category_id": "19", "condition_ratio": null}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0640f5b0f3cbd6ff/generated_sql.sql

@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: direction_consistency
+-- intended_facet_id: conditional_rate_shift
+-- variant_semantic_role: contrastive_conditional_view
+-- template_id: tpl_m4_group_ratio_two_conditions
+-- query_record_id: v2q_c19_0640f5b0f3cbd6ff
+-- problem_id: v2p_c19_2999294bd166e011
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "category_id",
+           SUM(CASE WHEN "category_id" = '24' THEN 1 ELSE 0 END) AS numerator_count,
+           SUM(CASE WHEN "category_id" = '10' THEN 1 ELSE 0 END) AS denominator_count
+    FROM "c19"
+    GROUP BY "category_id"
+)
+SELECT "category_id",
+       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
+FROM grouped
+ORDER BY condition_ratio DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0640f5b0f3cbd6ff/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"category_id\",\n           SUM(CASE WHEN \"category_id\" = '24' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"category_id\" = '10' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"c19\"\n    GROUP BY \"category_id\"\n)\nSELECT \"category_id\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"category_id\\\",\\n           SUM(CASE WHEN \\\"category_id\\\" = '24' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"category_id\\\" = '10' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c19\\\"\\n    GROUP BY \\\"category_id\\\"\\n)\\nSELECT \\\"category_id\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"category_id\", \"condition_ratio\"], \"rows\": [{\"category_id\": \"10\", \"condition_ratio\": 0.0}, {\"category_id\": \"1\", \"condition_ratio\": null}, {\"category_id\": \"15\", \"condition_ratio\": null}, {\"category_id\": \"17\", \"condition_ratio\": null}, {\"category_id\": \"19\", \"condition_ratio\": null}, {\"category_id\": \"2\", \"condition_ratio\": null}, {\"category_id\": \"20\", \"condition_ratio\": null}, {\"category_id\": \"22\", \"condition_ratio\": null}, {\"category_id\": \"23\", \"condition_ratio\": null}, {\"category_id\": \"24\", \"condition_ratio\": null}, {\"category_id\": \"25\", \"condition_ratio\": null}, {\"category_id\": \"26\", \"condition_ratio\": null}, {\"category_id\": \"27\", \"condition_ratio\": null}, {\"category_id\": \"28\", \"condition_ratio\": null}, {\"category_id\": \"29\", \"condition_ratio\": null}, {\"category_id\": \"43\", \"condition_ratio\": null}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 58.96}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0640f5b0f3cbd6ff/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:39:19.399687+00:00",
+  "ended_at": "2026-05-19T15:39:36.217752+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_0640f5b0f3cbd6ff",
+    "problem_id": "v2p_c19_2999294bd166e011",
+    "dataset_id": "c19",
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "contrastive_conditional_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=category_id, condition_col=category_id.",
+    "bindings": {
+      "group_col": "category_id",
+      "condition_col": "category_id",
+      "condition_value": "24",
+      "positive_value": "24",
+      "negative_value": "10",
+      "top_k": 11,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 1823157.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "condition_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "notes": [
+      "default_facets=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/1",
+      "binding_index=36"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 4,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/sql/v2q_c19_0640f5b0f3cbd6ff.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_0640f5b0f3cbd6ff",
+    "api_calls": 0,
+    "input_tokens": 17231,
+    "cached_input_tokens": 15744,
+    "output_tokens": 729,
+    "total_tokens": 17960,
+    "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": 16728.01,
+    "sql_execution_elapsed_ms_total": 58.96,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0640f5b0f3cbd6ff/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0640f5b0f3cbd6ff/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:39:36.156242+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": 16728.01, "started_at": "2026-05-19T15:39:19.427010+00:00", "ended_at": "2026-05-19T15:39:36.155052+00:00", "prompt_metrics": {"chars": 17387, "bytes_utf8": 17395, "lines": 291, "estimated_tokens": null}, "response_metrics": {"chars": 865, "bytes_utf8": 865, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17231, "cached_input_tokens": 15744, "output_tokens": 729, "reasoning_output_tokens": 513}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n    SELECT \\\"category_id\\\",\\n           SUM(CASE WHEN \\\"category_id\\\" = '24' THEN 1 ELSE 0 END) AS numerator_count,\\n           SUM(CASE WHEN \\\"category_id\\\" = '10' THEN 1 ELSE 0 END) AS denominator_count\\n    FROM \\\"c19\\\"\\n    GROUP BY \\\"category_id\\\"\\n)\\nSELECT \\\"category_id\\\",\\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided template exactly with group_col=\\\"category_id\\\" and condition_col=\\\"category_id\\\", using positive_value='24' and negative_value='10'. Because the grouping column and condition column are the same, most groups will produce NULL ratios, with category_id='10' yielding 0 and category_id='24' yielding NULL due to division by zero protection.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0640f5b0f3cbd6ff/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_0640f5b0f3cbd6ff",
+  "api_calls": 0,
+  "input_tokens": 17231,
+  "cached_input_tokens": 15744,
+  "output_tokens": 729,
+  "total_tokens": 17960,
+  "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": 16728.01,
+  "sql_execution_elapsed_ms_total": 58.96,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0640f5b0f3cbd6ff/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0d88ead3ccf0dd34/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=video_error_or_removed, measure_col=comment_count.
+Result preview: [{"video_error_or_removed": "False", "percentile_measure": 30790.5}, {"video_error_or_removed": "True", "percentile_measure": 5495.599999999999}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0d88ead3ccf0dd34/generated_sql.sql

@@ -0,0 +1,61 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_concentration_consistency
+-- intended_facet_id: rare_target_concentration
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_grouped_percentile_point
+-- query_record_id: v2q_c19_0d88ead3ccf0dd34
+-- problem_id: v2p_c19_04afab2c05b0fda0
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ordered" AS (
+  SELECT
+    "video_error_or_removed" AS "group_col",
+    CAST("comment_count" AS REAL) AS "measure",
+    ROW_NUMBER() OVER (
+      PARTITION BY "video_error_or_removed"
+      ORDER BY CAST("comment_count" AS REAL)
+    ) AS "rn",
+    COUNT(*) OVER (PARTITION BY "video_error_or_removed") AS "cnt"
+  FROM "c19"
+  WHERE "video_error_or_removed" IS NOT NULL
+    AND "comment_count" IS NOT NULL
+    AND TRIM("comment_count") <> ''
+),
+"positions" AS (
+  SELECT
+    "group_col",
+    "measure",
+    "rn",
+    "cnt",
+    (1.0 + 0.95 * ("cnt" - 1)) AS "pos",
+    CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) AS "lo",
+    CASE
+      WHEN (1.0 + 0.95 * ("cnt" - 1)) = CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER)
+      THEN CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER)
+      ELSE CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + 1
+    END AS "hi"
+  FROM "ordered"
+),
+"percentiles" AS (
+  SELECT
+    "group_col",
+    MAX("pos") AS "pos",
+    MAX("lo") AS "lo",
+    MAX("hi") AS "hi",
+    MAX(CASE WHEN "rn" = "lo" THEN "measure" END) AS "lo_val",
+    MAX(CASE WHEN "rn" = "hi" THEN "measure" END) AS "hi_val"
+  FROM "positions"
+  GROUP BY "group_col"
+)
+SELECT
+  "group_col" AS "video_error_or_removed",
+  CASE
+    WHEN "lo" = "hi" THEN "lo_val"
+    ELSE "lo_val" + ("pos" - "lo") * ("hi_val" - "lo_val")
+  END AS "percentile_measure"
+FROM "percentiles"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0d88ead3ccf0dd34/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_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    \"video_error_or_removed\" AS \"group_col\",\n    CAST(\"comment_count\" AS REAL) AS \"measure\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"video_error_or_removed\"\n      ORDER BY CAST(\"comment_count\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"video_error_or_removed\") AS \"cnt\"\n  FROM \"c19\"\n  WHERE \"video_error_or_removed\" IS NOT NULL\n    AND \"comment_count\" IS NOT NULL\n    AND TRIM(\"comment_count\") <> ''\n),\n\"positions\" AS (\n  SELECT\n    \"group_col\",\n    \"measure\",\n    \"rn\",\n    \"cnt\",\n    (1.0 + 0.95 * (\"cnt\" - 1)) AS \"pos\",\n    CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) AS \"lo\",\n    CASE\n      WHEN (1.0 + 0.95 * (\"cnt\" - 1)) = CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER)\n      THEN CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER)\n      ELSE CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) + 1\n    END AS \"hi\"\n  FROM \"ordered\"\n),\n\"percentiles\" AS (\n  SELECT\n    \"group_col\",\n    MAX(\"pos\") AS \"pos\",\n    MAX(\"lo\") AS \"lo\",\n    MAX(\"hi\") AS \"hi\",\n    MAX(CASE WHEN \"rn\" = \"lo\" THEN \"measure\" END) AS \"lo_val\",\n    MAX(CASE WHEN \"rn\" = \"hi\" THEN \"measure\" END) AS \"hi_val\"\n  FROM \"positions\"\n  GROUP BY \"group_col\"\n)\nSELECT\n  \"group_col\" AS \"video_error_or_removed\",\n  CASE\n    WHEN \"lo\" = \"hi\" THEN \"lo_val\"\n    ELSE \"lo_val\" + (\"pos\" - \"lo\") * (\"hi_val\" - \"lo_val\")\n  END AS \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"video_error_or_removed\\\" AS \\\"group_col\\\",\\n    CAST(\\\"comment_count\\\" AS REAL) AS \\\"measure\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"video_error_or_removed\\\"\\n      ORDER BY CAST(\\\"comment_count\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"video_error_or_removed\\\") AS \\\"cnt\\\"\\n  FROM \\\"c19\\\"\\n  WHERE \\\"video_error_or_removed\\\" IS NOT NULL\\n    AND \\\"comment_count\\\" IS NOT NULL\\n    AND TRIM(\\\"comment_count\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure\\\",\\n    \\\"rn\\\",\\n    \\\"cnt\\\",\\n    (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n    CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lo\\\",\\n    CASE\\n      WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n      THEN CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n      ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + 1\\n    END AS \\\"hi\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"percentiles\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    MAX(\\\"pos\\\") AS \\\"pos\\\",\\n    MAX(\\\"lo\\\") AS \\\"lo\\\",\\n    MAX(\\\"hi\\\") AS \\\"hi\\\",\\n    MAX(CASE WHEN \\\"rn\\\" = \\\"lo\\\" THEN \\\"measure\\\" END) AS \\\"lo_val\\\",\\n    MAX(CASE WHEN \\\"rn\\\" = \\\"hi\\\" THEN \\\"measure\\\" END) AS \\\"hi_val\\\"\\n  FROM \\\"positions\\\"\\n  GROUP BY \\\"group_col\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"video_error_or_removed\\\",\\n  CASE\\n    WHEN \\\"lo\\\" = \\\"hi\\\" THEN \\\"lo_val\\\"\\n    ELSE \\\"lo_val\\\" + (\\\"pos\\\" - \\\"lo\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"video_error_or_removed\", \"percentile_measure\"], \"rows\": [{\"video_error_or_removed\": \"False\", \"percentile_measure\": 30790.5}, {\"video_error_or_removed\": \"True\", \"percentile_measure\": 5495.599999999999}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 176.92}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0d88ead3ccf0dd34/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:57:10.390080+00:00",
+  "ended_at": "2026-05-19T15:57:49.742572+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_0d88ead3ccf0dd34",
+    "problem_id": "v2p_c19_04afab2c05b0fda0",
+    "dataset_id": "c19",
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_concentration_consistency",
+    "intended_facet_id": "rare_target_concentration",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=video_error_or_removed, measure_col=comment_count.",
+    "bindings": {
+      "group_col": "video_error_or_removed",
+      "measure_col": "comment_count",
+      "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": 3738.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "notes": [
+      "default_facets=rare_target_concentration",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=2/2",
+      "binding_index=91"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "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_d/c19/sql/v2q_c19_0d88ead3ccf0dd34.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_0d88ead3ccf0dd34",
+    "api_calls": 0,
+    "input_tokens": 17063,
+    "cached_input_tokens": 15744,
+    "output_tokens": 2456,
+    "total_tokens": 19519,
+    "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": 39145.49,
+    "sql_execution_elapsed_ms_total": 176.92,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0d88ead3ccf0dd34/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0d88ead3ccf0dd34/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:57:49.563795+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": 39145.49, "started_at": "2026-05-19T15:57:10.417122+00:00", "ended_at": "2026-05-19T15:57:49.562644+00:00", "prompt_metrics": {"chars": 16782, "bytes_utf8": 16790, "lines": 288, "estimated_tokens": null}, "response_metrics": {"chars": 1838, "bytes_utf8": 1838, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17063, "cached_input_tokens": 15744, "output_tokens": 2456, "reasoning_output_tokens": 1858}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"video_error_or_removed\\\" AS \\\"group_col\\\",\\n    CAST(\\\"comment_count\\\" AS REAL) AS \\\"measure\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"video_error_or_removed\\\"\\n      ORDER BY CAST(\\\"comment_count\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"video_error_or_removed\\\") AS \\\"cnt\\\"\\n  FROM \\\"c19\\\"\\n  WHERE \\\"video_error_or_removed\\\" IS NOT NULL\\n    AND \\\"comment_count\\\" IS NOT NULL\\n    AND TRIM(\\\"comment_count\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure\\\",\\n    \\\"rn\\\",\\n    \\\"cnt\\\",\\n    (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n    CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lo\\\",\\n    CASE\\n      WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n      THEN CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n      ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + 1\\n    END AS \\\"hi\\\"\\n  FROM \\\"ordered\\\"\\n)"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0d88ead3ccf0dd34/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_0d88ead3ccf0dd34",
+  "api_calls": 0,
+  "input_tokens": 17063,
+  "cached_input_tokens": 15744,
+  "output_tokens": 2456,
+  "total_tokens": 19519,
+  "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": 39145.49,
+  "sql_execution_elapsed_ms_total": 176.92,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0d88ead3ccf0dd34/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0e5cf647775e3a7c/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=category_id.
+Result preview: [{"category_id": "24", "row_count": 9964}, {"category_id": "10", "row_count": 6472}, {"category_id": "26", "row_count": 4146}, {"category_id": "23", "row_count": 3457}, {"category_id": "22", "row_count": 3210}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0e5cf647775e3a7c/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- family_id: subgroup_structure
+-- canonical_subitem_id: subgroup_size_stability
+-- intended_facet_id: subgroup_distribution_shift
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_clickbench_group_count
+-- query_record_id: v2q_c19_0e5cf647775e3a7c
+-- problem_id: v2p_c19_26a3cc52194466ac
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "category_id", COUNT(*) AS "row_count"
+FROM "c19"
+GROUP BY "category_id"
+ORDER BY "row_count" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0e5cf647775e3a7c/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_clickbench_group_count\nSELECT \"category_id\", COUNT(*) AS \"row_count\"\nFROM \"c19\"\nGROUP BY \"category_id\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"category_id\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c19\\\"\\nGROUP BY \\\"category_id\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"category_id\", \"row_count\"], \"rows\": [{\"category_id\": \"24\", \"row_count\": 9964}, {\"category_id\": \"10\", \"row_count\": 6472}, {\"category_id\": \"26\", \"row_count\": 4146}, {\"category_id\": \"23\", \"row_count\": 3457}, {\"category_id\": \"22\", \"row_count\": 3210}, {\"category_id\": \"25\", \"row_count\": 2487}, {\"category_id\": \"28\", \"row_count\": 2401}, {\"category_id\": \"1\", \"row_count\": 2345}, {\"category_id\": \"17\", \"row_count\": 2174}, {\"category_id\": \"27\", \"row_count\": 1656}, {\"category_id\": \"15\", \"row_count\": 920}, {\"category_id\": \"20\", \"row_count\": 817}, {\"category_id\": \"19\", \"row_count\": 402}, {\"category_id\": \"2\", \"row_count\": 384}, {\"category_id\": \"43\", \"row_count\": 57}, {\"category_id\": \"29\", \"row_count\": 57}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 42.52}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0e5cf647775e3a7c/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:33:07.340720+00:00",
+  "ended_at": "2026-05-19T15:33:22.646835+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_0e5cf647775e3a7c",
+    "problem_id": "v2p_c19_26a3cc52194466ac",
+    "dataset_id": "c19",
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "family_id": "subgroup_structure",
+    "canonical_subitem_id": "subgroup_size_stability",
+    "intended_facet_id": "subgroup_distribution_shift",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=category_id.",
+    "bindings": {
+      "group_col": "category_id",
+      "top_k": 11,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 1823157.0,
+      "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 {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=subgroup_distribution_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=5",
+      "sql_variant_index=1/1",
+      "binding_index=16"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 2,
+    "problem_index_within_template": 5,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/sql/v2q_c19_0e5cf647775e3a7c.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_0e5cf647775e3a7c",
+    "api_calls": 0,
+    "input_tokens": 16995,
+    "cached_input_tokens": 12032,
+    "output_tokens": 189,
+    "total_tokens": 17184,
+    "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": 15231.48,
+    "sql_execution_elapsed_ms_total": 42.52,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0e5cf647775e3a7c/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0e5cf647775e3a7c/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:33:22.602910+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": 15231.48, "started_at": "2026-05-19T15:33:07.370641+00:00", "ended_at": "2026-05-19T15:33:22.602152+00:00", "prompt_metrics": {"chars": 16482, "bytes_utf8": 16490, "lines": 286, "estimated_tokens": null}, "response_metrics": {"chars": 299, "bytes_utf8": 299, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16995, "cached_input_tokens": 12032, "output_tokens": 189, "reasoning_output_tokens": 113}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"category_id\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c19\\\"\\nGROUP BY \\\"category_id\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to category_id to measure subgroup size distribution.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0e5cf647775e3a7c/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_0e5cf647775e3a7c",
+  "api_calls": 0,
+  "input_tokens": 16995,
+  "cached_input_tokens": 12032,
+  "output_tokens": 189,
+  "total_tokens": 17184,
+  "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": 15231.48,
+  "sql_execution_elapsed_ms_total": 42.52,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_0e5cf647775e3a7c/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_107e6cef0a8f238a/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=category_id, measure_col=views.
+Result preview: [{"category_id": "25", "comment_count": "0", "total_measure": 223329258.0, "share_within_group": 15.153647380574409}, {"category_id": "29", "comment_count": "658130", "total_measure": 24286474.0, "share_within_group": 14.375680058324605}, {"category_id": "29", "comment_count": "647524", "total_measure": 23742391.0, "share_within_group": 14.05362576863342}, {"category_id": "29", "comment_count": "636100", "total_measure": 23164093.0, "share_within_group": 13.711318893359183}, {"category_id": "29", "comment_count": "625002", "total_measure": 22387656.0, "share_within_group": 13.251729333448372}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_107e6cef0a8f238a/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- 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_c19_107e6cef0a8f238a
+-- problem_id: v2p_c19_af71faef3779a026
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "category_id", "comment_count",
+       SUM(CAST("views" AS REAL)) AS total_measure,
+       SUM(CAST("views" AS REAL)) * 100.0 / SUM(SUM(CAST("views" AS REAL))) OVER (PARTITION BY "category_id") AS share_within_group
+FROM "c19"
+GROUP BY "category_id", "comment_count"
+ORDER BY share_within_group DESC;