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Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_433e2075316c53cd/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_433e2075316c53cd/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_rank_order
+-- variant_semantic_role: collapsed_target_view
+-- template_id: tpl_h2o_group_sum
+-- query_record_id: v2q_c19_433e2075316c53cd
+-- problem_id: v2p_c19_38535332155d3569
+-- 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_433e2075316c53cd/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\": 47.91}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_433e2075316c53cd/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:28:29.017580+00:00",
+  "ended_at": "2026-05-19T15:28:42.189984+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_433e2075316c53cd",
+    "problem_id": "v2p_c19_38535332155d3569",
+    "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_rank_order",
+    "variant_semantic_role": "collapsed_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=category_id, measure_col=views.",
+    "bindings": {
+      "group_col": "category_id",
+      "measure_col": "views",
+      "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": 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=1",
+      "sql_variant_index=2/2",
+      "binding_index=0"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 1,
+    "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_433e2075316c53cd.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_433e2075316c53cd",
+    "api_calls": 0,
+    "input_tokens": 17020,
+    "cached_input_tokens": 12032,
+    "output_tokens": 333,
+    "total_tokens": 17353,
+    "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": 13095.62,
+    "sql_execution_elapsed_ms_total": 47.91,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_433e2075316c53cd/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_433e2075316c53cd/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:28:42.140524+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": 13095.62, "started_at": "2026-05-19T15:28:29.044039+00:00", "ended_at": "2026-05-19T15:28:42.139692+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": 12032, "output_tokens": 333, "reasoning_output_tokens": 234}, "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_433e2075316c53cd/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_433e2075316c53cd",
+  "api_calls": 0,
+  "input_tokens": 17020,
+  "cached_input_tokens": 12032,
+  "output_tokens": 333,
+  "total_tokens": 17353,
+  "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": 13095.62,
+  "sql_execution_elapsed_ms_total": 47.91,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_433e2075316c53cd/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_544ad82e7fdbad0c/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ratings_disabled, measure_col=dislikes.
+Result preview: [{"ratings_disabled": "False", "group_value": 151978155.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_544ad82e7fdbad0c/generated_sql.sql

@@ -0,0 +1,26 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_c19_544ad82e7fdbad0c
+-- problem_id: v2p_c19_dee8b8791252e18d
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "ratings_disabled", SUM(CAST("dislikes" AS REAL)) AS group_value
+    FROM "c19"
+    GROUP BY "ratings_disabled"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."ratings_disabled", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.1
+ORDER BY g.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_544ad82e7fdbad0c/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"ratings_disabled\", SUM(CAST(\"dislikes\" AS REAL)) AS group_value\n    FROM \"c19\"\n    GROUP BY \"ratings_disabled\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"ratings_disabled\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"ratings_disabled\\\", SUM(CAST(\\\"dislikes\\\" AS REAL)) AS group_value\\n    FROM \\\"c19\\\"\\n    GROUP BY \\\"ratings_disabled\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"ratings_disabled\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"ratings_disabled\", \"group_value\"], \"rows\": [{\"ratings_disabled\": \"False\", \"group_value\": 151978155.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 56.59}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_544ad82e7fdbad0c/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:46:06.359960+00:00",
+  "ended_at": "2026-05-19T15:46:19.641331+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_544ad82e7fdbad0c",
+    "problem_id": "v2p_c19_dee8b8791252e18d",
+    "dataset_id": "c19",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=ratings_disabled, measure_col=dislikes.",
+    "bindings": {
+      "group_col": "ratings_disabled",
+      "measure_col": "dislikes",
+      "top_k": 14,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 1938.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "notes": [
+      "default_facets=tail_ranked_signal",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/2",
+      "binding_index=74"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "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_d/c19/sql/v2q_c19_544ad82e7fdbad0c.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_544ad82e7fdbad0c",
+    "api_calls": 0,
+    "input_tokens": 17157,
+    "cached_input_tokens": 15744,
+    "output_tokens": 549,
+    "total_tokens": 17706,
+    "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": 13191.44,
+    "sql_execution_elapsed_ms_total": 56.59,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_544ad82e7fdbad0c/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_544ad82e7fdbad0c/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:46:19.582535+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": 13191.44, "started_at": "2026-05-19T15:46:06.390128+00:00", "ended_at": "2026-05-19T15:46:19.581605+00:00", "prompt_metrics": {"chars": 17133, "bytes_utf8": 17141, "lines": 288, "estimated_tokens": null}, "response_metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17157, "cached_input_tokens": 15744, "output_tokens": 549, "reasoning_output_tokens": 381}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"ratings_disabled\\\", SUM(CAST(\\\"dislikes\\\" AS REAL)) AS group_value\\n    FROM \\\"c19\\\"\\n    GROUP BY \\\"ratings_disabled\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"ratings_disabled\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"ratings_disabled\\\" and measure_col=\\\"dislikes\\\". Cast \\\"dislikes\\\" to REAL because the schema stores it as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_544ad82e7fdbad0c/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_544ad82e7fdbad0c",
+  "api_calls": 0,
+  "input_tokens": 17157,
+  "cached_input_tokens": 15744,
+  "output_tokens": 549,
+  "total_tokens": 17706,
+  "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": 13191.44,
+  "sql_execution_elapsed_ms_total": 56.59,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_544ad82e7fdbad0c/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_5ad8cc3eab05da63/run_manifest.json

@@ -0,0 +1,69 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T16:05:57.860303+00:00",
+  "ended_at": "2026-05-19T16:06:05.608467+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_5ad8cc3eab05da63",
+    "problem_id": "v2p_c19_5ba70a230073a69f",
+    "dataset_id": "c19",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=category_id, measure_col=views.",
+    "bindings": {
+      "group_col": "category_id",
+      "measure_col": "views",
+      "top_k": 17,
+      "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=2/2",
+      "binding_index=132"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "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",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_5ad8cc3eab05da63/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:06:01.074447+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": 3183.92, "started_at": "2026-05-19T16:05:57.889476+00:00", "ended_at": "2026-05-19T16:06:01.073431+00:00", "prompt_metrics": {"chars": 16651, "bytes_utf8": 16659, "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\":\"019e40fc-9ef7-7e70-a0d9-772190a77d80\"}\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": "2026-05-19T16:06:05.608378+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": 3531.77, "started_at": "2026-05-19T16:06:02.075807+00:00", "ended_at": "2026-05-19T16:06:05.607613+00:00", "prompt_metrics": {"chars": 16651, "bytes_utf8": 16659, "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\":\"019e40fc-afce-7be1-943e-774cd20d7cff\"}\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_66adb85da93935c7/run_manifest.json

@@ -0,0 +1,72 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T16:00:55.311431+00:00",
+  "ended_at": "2026-05-19T16:01:03.774791+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_66adb85da93935c7",
+    "problem_id": "v2p_c19_1c70d5672b2c443b",
+    "dataset_id": "c19",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "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 direction_consistency with semantic role within_group_proportion. Focus on group_col=comments_disabled, condition_col=comments_disabled.",
+    "bindings": {
+      "group_col": "comments_disabled",
+      "condition_col": "comments_disabled",
+      "condition_value": "True",
+      "positive_value": "False",
+      "negative_value": "True",
+      "top_k": 16,
+      "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": 55417.0,
+      "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=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=6",
+      "sql_variant_index=2/2",
+      "binding_index=101"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "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_d/c19/artifacts/v2q_c19_66adb85da93935c7/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:00:58.788859+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": 3447.46, "started_at": "2026-05-19T16:00:55.340654+00:00", "ended_at": "2026-05-19T16:00:58.788143+00:00", "prompt_metrics": {"chars": 16853, "bytes_utf8": 16861, "lines": 291, "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\":\"019e40f8-0128-7313-af28-4cf657f33dee\"}\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": "2026-05-19T16:01:03.774670+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": 3982.63, "started_at": "2026-05-19T16:00:59.790923+00:00", "ended_at": "2026-05-19T16:01:03.773599+00:00", "prompt_metrics": {"chars": 16853, "bytes_utf8": 16861, "lines": 291, "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\":\"019e40f8-1296-7e53-a66f-366a771f1b6a\"}\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_6e68377526bfaeda/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=category_id, measure_col=views.
+Result preview: [{"category_id": "29", "trending_date": "18.01.02", "total_measure": 24286474.0, "share_within_group": 14.375680058324605}, {"category_id": "29", "trending_date": "18.31.01", "total_measure": 23742391.0, "share_within_group": 14.05362576863342}, {"category_id": "29", "trending_date": "18.30.01", "total_measure": 23164093.0, "share_within_group": 13.711318893359183}, {"category_id": "29", "trending_date": "18.29.01", "total_measure": 22387656.0, "share_within_group": 13.251729333448372}, {"category_id": "29", "trending_date": "18.28.01", "total_measure": 21104436.0, "share_within_group": 12.492164146486965}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_6e68377526bfaeda/generated_sql.sql

@@ -0,0 +1,22 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_tpcds_within_group_share
+-- query_record_id: v2q_c19_6e68377526bfaeda
+-- problem_id: v2p_c19_2a558f129ffa909c
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "category_id",
+  "trending_date",
+  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", "trending_date"
+ORDER BY share_within_group DESC
+LIMIT 19;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_6e68377526bfaeda/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"category_id\",\n  \"trending_date\",\n  SUM(CAST(\"views\" AS REAL)) AS total_measure,\n  SUM(CAST(\"views\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"views\" AS REAL))) OVER (PARTITION BY \"category_id\") AS share_within_group\nFROM \"c19\"\nGROUP BY \"category_id\", \"trending_date\"\nORDER BY share_within_group DESC\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"category_id\\\",\\n  \\\"trending_date\\\",\\n  SUM(CAST(\\\"views\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"views\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"views\\\" AS REAL))) OVER (PARTITION BY \\\"category_id\\\") AS share_within_group\\nFROM \\\"c19\\\"\\nGROUP BY \\\"category_id\\\", \\\"trending_date\\\"\\nORDER BY share_within_group DESC\\nLIMIT 19;\", \"columns\": [\"category_id\", \"trending_date\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"category_id\": \"29\", \"trending_date\": \"18.01.02\", \"total_measure\": 24286474.0, \"share_within_group\": 14.375680058324605}, {\"category_id\": \"29\", \"trending_date\": \"18.31.01\", \"total_measure\": 23742391.0, \"share_within_group\": 14.05362576863342}, {\"category_id\": \"29\", \"trending_date\": \"18.30.01\", \"total_measure\": 23164093.0, \"share_within_group\": 13.711318893359183}, {\"category_id\": \"29\", \"trending_date\": \"18.29.01\", \"total_measure\": 22387656.0, \"share_within_group\": 13.251729333448372}, {\"category_id\": \"29\", \"trending_date\": \"18.28.01\", \"total_measure\": 21104436.0, \"share_within_group\": 12.492164146486965}, {\"category_id\": \"29\", \"trending_date\": \"18.27.01\", \"total_measure\": 19092511.0, \"share_within_group\": 11.301262984739703}, {\"category_id\": \"2\", \"trending_date\": \"18.12.02\", \"total_measure\": 54360524.0, \"share_within_group\": 10.44007934560508}, {\"category_id\": \"2\", \"trending_date\": \"18.11.02\", \"total_measure\": 53877840.0, \"share_within_group\": 10.34737863398475}, {\"category_id\": \"2\", \"trending_date\": \"18.10.02\", \"total_measure\": 53762636.0, \"share_within_group\": 10.325253407580915}, {\"category_id\": \"29\", \"trending_date\": \"18.26.01\", \"total_measure\": 15808339.0, \"share_within_group\": 9.357291787911869}, {\"category_id\": \"19\", \"trending_date\": \"18.11.02\", \"total_measure\": 26246588.0, \"share_within_group\": 7.639658508686143}, {\"category_id\": \"2\", \"trending_date\": \"18.13.02\", \"total_measure\": 38550807.0, \"share_within_group\": 7.403782272538575}, {\"category_id\": \"19\", \"trending_date\": \"18.10.02\", \"total_measure\": 22698654.0, \"share_within_group\": 6.606952689119925}, {\"category_id\": \"2\", \"trending_date\": \"18.08.02\", \"total_measure\": 31865037.0, \"share_within_group\": 6.1197628380227105}, {\"category_id\": \"2\", \"trending_date\": \"18.09.02\", \"total_measure\": 29108887.0, \"share_within_group\": 5.590437096269569}, {\"category_id\": \"19\", \"trending_date\": \"18.09.02\", \"total_measure\": 19135265.0, \"share_within_group\": 5.569748344935888}, {\"category_id\": \"2\", \"trending_date\": \"18.07.02\", \"total_measure\": 25850967.0, \"share_within_group\": 4.964745127192272}, {\"category_id\": \"29\", \"trending_date\": \"18.25.01\", \"total_measure\": 8041970.0, \"share_within_group\": 4.7602129382241625}, {\"category_id\": \"19\", \"trending_date\": \"18.08.02\", \"total_measure\": 14281743.0, \"share_within_group\": 4.157021835707512}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 65.75}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_6e68377526bfaeda/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:34:07.672789+00:00",
+  "ended_at": "2026-05-19T15:34:22.259086+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_6e68377526bfaeda",
+    "problem_id": "v2p_c19_2a558f129ffa909c",
+    "dataset_id": "c19",
+    "template_id": "tpl_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=category_id, measure_col=views.",
+    "bindings": {
+      "group_col": "category_id",
+      "measure_col": "views",
+      "item_col": "trending_date",
+      "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",
+      "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=1",
+      "sql_variant_index=2/2",
+      "binding_index=24"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "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_6e68377526bfaeda.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_6e68377526bfaeda",
+    "api_calls": 0,
+    "input_tokens": 17139,
+    "cached_input_tokens": 12032,
+    "output_tokens": 446,
+    "total_tokens": 17585,
+    "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": 14490.24,
+    "sql_execution_elapsed_ms_total": 65.75,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_6e68377526bfaeda/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_6e68377526bfaeda/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:34:22.191767+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": 14490.24, "started_at": "2026-05-19T15:34:07.700515+00:00", "ended_at": "2026-05-19T15:34:22.190791+00:00", "prompt_metrics": {"chars": 16978, "bytes_utf8": 16986, "lines": 290, "estimated_tokens": null}, "response_metrics": {"chars": 641, "bytes_utf8": 641, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17139, "cached_input_tokens": 12032, "output_tokens": 446, "reasoning_output_tokens": 266}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"category_id\\\",\\n  \\\"trending_date\\\",\\n  SUM(CAST(\\\"views\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"views\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"views\\\" AS REAL))) OVER (PARTITION BY \\\"category_id\\\") AS share_within_group\\nFROM \\\"c19\\\"\\nGROUP BY \\\"category_id\\\", \\\"trending_date\\\"\\nORDER BY share_within_group DESC\\nLIMIT 19;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"category_id\\\", item_col=\\\"trending_date\\\", and measure_col=\\\"views\\\". Cast \\\"views\\\" from TEXT to REAL for numeric aggregation, and used LIMIT 19 from the provided binding.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_6e68377526bfaeda/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_6e68377526bfaeda",
+  "api_calls": 0,
+  "input_tokens": 17139,
+  "cached_input_tokens": 12032,
+  "output_tokens": 446,
+  "total_tokens": 17585,
+  "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": 14490.24,
+  "sql_execution_elapsed_ms_total": 65.75,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_6e68377526bfaeda/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_b58ba0153e9976dd/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=comments_disabled, measure_col=likes.
+Result preview: [{"comments_disabled": "False", "percentile_measure": 312290.75}, {"comments_disabled": "True", "percentile_measure": 93599.2}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_b58ba0153e9976dd/generated_sql.sql

@@ -0,0 +1,68 @@
+-- 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_b58ba0153e9976dd
+-- problem_id: v2p_c19_3b966530dfe971b0
+-- realization_mode: agent
+-- source_kind: agent
+WITH "base" AS (
+  SELECT
+    "comments_disabled" AS "group_col",
+    CAST(NULLIF("likes", '') AS REAL) AS "measure"
+  FROM "c19"
+  WHERE "comments_disabled" IS NOT NULL
+    AND NULLIF("likes", '') IS NOT NULL
+),
+"ranked" AS (
+  SELECT
+    "group_col",
+    "measure",
+    ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure") AS "rn",
+    COUNT(*) OVER (PARTITION BY "group_col") AS "cnt"
+  FROM "base"
+),
+"params" AS (
+  SELECT DISTINCT
+    "group_col",
+    "cnt",
+    (1 + 0.95 * ("cnt" - 1)) AS "pos",
+    CAST((1 + 0.95 * ("cnt" - 1)) AS INTEGER) AS "lower_rn",
+    CASE
+      WHEN (1 + 0.95 * ("cnt" - 1)) = CAST((1 + 0.95 * ("cnt" - 1)) AS INTEGER)
+        THEN CAST((1 + 0.95 * ("cnt" - 1)) AS INTEGER)
+      ELSE CAST((1 + 0.95 * ("cnt" - 1)) AS INTEGER) + 1
+    END AS "upper_rn"
+  FROM "ranked"
+  WHERE "cnt" >= 5
+),
+"percentile_points" AS (
+  SELECT
+    p."group_col",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn",
+    MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure" END) AS "lower_val",
+    MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."measure" END) AS "upper_val"
+  FROM "params" AS p
+  JOIN "ranked" AS r
+    ON r."group_col" = p."group_col"
+  GROUP BY
+    p."group_col",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn"
+)
+SELECT
+  "group_col" AS "comments_disabled",
+  CASE
+    WHEN "lower_rn" = "upper_rn" THEN "lower_val"
+    ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val")
+  END AS "percentile_measure"
+FROM "percentile_points"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_b58ba0153e9976dd/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 \"base\" AS (\n  SELECT\n    \"comments_disabled\" AS \"group_col\",\n    CAST(NULLIF(\"likes\", '') AS REAL) AS \"measure\"\n  FROM \"c19\"\n  WHERE \"comments_disabled\" IS NOT NULL\n    AND NULLIF(\"likes\", '') IS NOT NULL\n),\n\"ranked\" AS (\n  SELECT\n    \"group_col\",\n    \"measure\",\n    ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure\") AS \"rn\",\n    COUNT(*) OVER (PARTITION BY \"group_col\") AS \"cnt\"\n  FROM \"base\"\n),\n\"params\" AS (\n  SELECT DISTINCT\n    \"group_col\",\n    \"cnt\",\n    (1 + 0.95 * (\"cnt\" - 1)) AS \"pos\",\n    CAST((1 + 0.95 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n    CASE\n      WHEN (1 + 0.95 * (\"cnt\" - 1)) = CAST((1 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n        THEN CAST((1 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n      ELSE CAST((1 + 0.95 * (\"cnt\" - 1)) AS INTEGER) + 1\n    END AS \"upper_rn\"\n  FROM \"ranked\"\n  WHERE \"cnt\" >= 5\n),\n\"percentile_points\" AS (\n  SELECT\n    p.\"group_col\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\",\n    MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure\" END) AS \"lower_val\",\n    MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure\" END) AS \"upper_val\"\n  FROM \"params\" AS p\n  JOIN \"ranked\" AS r\n    ON r.\"group_col\" = p.\"group_col\"\n  GROUP BY\n    p.\"group_col\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\"\n)\nSELECT\n  \"group_col\" AS \"comments_disabled\",\n  CASE\n    WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n    ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n  END AS \"percentile_measure\"\nFROM \"percentile_points\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"comments_disabled\\\" AS \\\"group_col\\\",\\n    CAST(NULLIF(\\\"likes\\\", '') AS REAL) AS \\\"measure\\\"\\n  FROM \\\"c19\\\"\\n  WHERE \\\"comments_disabled\\\" IS NOT NULL\\n    AND NULLIF(\\\"likes\\\", '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    (1 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n    CAST((1 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CASE\\n      WHEN (1 + 0.95 * (\\\"cnt\\\" - 1)) = CAST((1 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n        THEN CAST((1 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n      ELSE CAST((1 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"percentile_points\\\" AS (\\n  SELECT\\n    p.\\\"group_col\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure\\\" END) AS \\\"lower_val\\\",\\n    MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure\\\" END) AS \\\"upper_val\\\"\\n  FROM \\\"params\\\" AS p\\n  JOIN \\\"ranked\\\" AS r\\n    ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\n  GROUP BY\\n    p.\\\"group_col\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\"\\n)\\nSELECT\\n  \\\"group_col\\\" AS \\\"comments_disabled\\\",\\n  CASE\\n    WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n    ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"comments_disabled\", \"percentile_measure\"], \"rows\": [{\"comments_disabled\": \"False\", \"percentile_measure\": 312290.75}, {\"comments_disabled\": \"True\", \"percentile_measure\": 93599.2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 200.55}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_b58ba0153e9976dd/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:50:51.673766+00:00",
+  "ended_at": "2026-05-19T15:51:29.834304+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_b58ba0153e9976dd",
+    "problem_id": "v2p_c19_3b966530dfe971b0",
+    "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=comments_disabled, measure_col=likes.",
+    "bindings": {
+      "group_col": "comments_disabled",
+      "measure_col": "likes",
+      "top_k": 15,
+      "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": 35754.76,
+      "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=2",
+      "sql_variant_index=2/2",
+      "binding_index=85"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 2,
+    "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_b58ba0153e9976dd.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_b58ba0153e9976dd",
+    "api_calls": 0,
+    "input_tokens": 17057,
+    "cached_input_tokens": 15744,
+    "output_tokens": 2529,
+    "total_tokens": 19586,
+    "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": 37931.23,
+    "sql_execution_elapsed_ms_total": 200.55,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_b58ba0153e9976dd/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_b58ba0153e9976dd/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:51:29.632077+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": 37931.23, "started_at": "2026-05-19T15:50:51.699951+00:00", "ended_at": "2026-05-19T15:51:29.631210+00:00", "prompt_metrics": {"chars": 16758, "bytes_utf8": 16766, "lines": 288, "estimated_tokens": null}, "response_metrics": {"chars": 2076, "bytes_utf8": 2076, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17057, "cached_input_tokens": 15744, "output_tokens": 2529, "reasoning_output_tokens": 1858}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"comments_disabled\\\" AS \\\"group_col\\\",\\n    CAST(NULLIF(\\\"likes\\\", '') AS REAL) AS \\\"measure\\\"\\n  FROM \\\"c19\\\"\\n  WHERE \\\"comments_disabled\\\" IS NOT NULL\\n    AND NULLIF(\\\"likes\\\", '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\",\\n    COUNT(*) OVER (PARTITION BY \\\"group_col\\\") AS \\\"cnt\\\"\\n  FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"group_col\\\",\\n    \\\"cnt\\\",\\n    (1 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n    CAST((1 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CASE\\n      WHEN (1 + 0.95 * (\\\"cnt\\\" - 1)) = CAST((1 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n        THEN CAST((1 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n      ELSE CAST((1 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"percentile_poin"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_b58ba0153e9976dd/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_b58ba0153e9976dd",
+  "api_calls": 0,
+  "input_tokens": 17057,
+  "cached_input_tokens": 15744,
+  "output_tokens": 2529,
+  "total_tokens": 19586,
+  "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": 37931.23,
+  "sql_execution_elapsed_ms_total": 200.55,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_b58ba0153e9976dd/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_c93019f52036ff79/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=ratings_disabled.
+Result preview: [{"ratings_disabled": "True", "support": 169}, {"ratings_disabled": "False", "support": 40780}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_c93019f52036ff79/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c19
+-- 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_c19_c93019f52036ff79
+-- problem_id: v2p_c19_7d5a9c6e4f107c0c
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "ratings_disabled",
+    COUNT(*) AS support
+FROM "c19"
+GROUP BY "ratings_disabled"
+ORDER BY support ASC, "ratings_disabled"
+LIMIT 11;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_c93019f52036ff79/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    \"ratings_disabled\",\n    COUNT(*) AS support\nFROM \"c19\"\nGROUP BY \"ratings_disabled\"\nORDER BY support ASC, \"ratings_disabled\"\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"ratings_disabled\\\",\\n    COUNT(*) AS support\\nFROM \\\"c19\\\"\\nGROUP BY \\\"ratings_disabled\\\"\\nORDER BY support ASC, \\\"ratings_disabled\\\"\\nLIMIT 11;\", \"columns\": [\"ratings_disabled\", \"support\"], \"rows\": [{\"ratings_disabled\": \"True\", \"support\": 169}, {\"ratings_disabled\": \"False\", \"support\": 40780}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 43.45}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_c93019f52036ff79/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T16:05:21.929135+00:00",
+  "ended_at": "2026-05-19T16:05:33.169506+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_c93019f52036ff79",
+    "problem_id": "v2p_c19_7d5a9c6e4f107c0c",
+    "dataset_id": "c19",
+    "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=ratings_disabled.",
+    "bindings": {
+      "group_col": "ratings_disabled",
+      "top_k": 11,
+      "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": 1938.0,
+      "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=7",
+      "sql_variant_index=1/2",
+      "binding_index=126"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "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",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/sql/v2q_c19_c93019f52036ff79.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_c93019f52036ff79",
+    "api_calls": 0,
+    "input_tokens": 17032,
+    "cached_input_tokens": 15744,
+    "output_tokens": 206,
+    "total_tokens": 17238,
+    "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": 10161.1,
+    "sql_execution_elapsed_ms_total": 43.45,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_c93019f52036ff79/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_c93019f52036ff79/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:05:25.182169+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": 3221.81, "started_at": "2026-05-19T16:05:21.959471+00:00", "ended_at": "2026-05-19T16:05:25.181317+00:00", "prompt_metrics": {"chars": 16568, "bytes_utf8": 16576, "lines": 286, "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-12cd-71c2-a055-73722c84526d\"}\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": "2026-05-19T16:05:33.124535+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": 6939.29, "started_at": "2026-05-19T16:05:26.184333+00:00", "ended_at": "2026-05-19T16:05:33.123670+00:00", "prompt_metrics": {"chars": 16568, "bytes_utf8": 16576, "lines": 286, "estimated_tokens": null}, "response_metrics": {"chars": 339, "bytes_utf8": 339, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17032, "cached_input_tokens": 15744, "output_tokens": 206, "reasoning_output_tokens": 114}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"ratings_disabled\\\",\\n    COUNT(*) AS support\\nFROM \\\"c19\\\"\\nGROUP BY \\\"ratings_disabled\\\"\\nORDER BY support ASC, \\\"ratings_disabled\\\"\\nLIMIT 11;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"ratings_disabled\\\" and top_k set to 11.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_c93019f52036ff79/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_c93019f52036ff79",
+  "api_calls": 0,
+  "input_tokens": 17032,
+  "cached_input_tokens": 15744,
+  "output_tokens": 206,
+  "total_tokens": 17238,
+  "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": 10161.1,
+  "sql_execution_elapsed_ms_total": 43.45,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_c93019f52036ff79/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_d4ea80bfbca4fe98/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=category_id, condition_col=category_id.
+Result preview: [{"category_id": "10", "condition_rate": 1.0}, {"category_id": "43", "condition_rate": 0.0}, {"category_id": "29", "condition_rate": 0.0}, {"category_id": "28", "condition_rate": 0.0}, {"category_id": "27", "condition_rate": 0.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_d4ea80bfbca4fe98/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: dependency_strength_similarity
+-- intended_facet_id: pairwise_conditional_dependency
+-- variant_semantic_role: focused_target_view
+-- template_id: tpl_m4_group_condition_rate
+-- query_record_id: v2q_c19_d4ea80bfbca4fe98
+-- problem_id: v2p_c19_829820fe081e3a3c
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "category_id",
+       AVG(CASE WHEN "category_id" = '10' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "c19"
+GROUP BY "category_id"
+ORDER BY "condition_rate" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_d4ea80bfbca4fe98/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"category_id\",\n       AVG(CASE WHEN \"category_id\" = '10' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c19\"\nGROUP BY \"category_id\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"category_id\\\",\\n       AVG(CASE WHEN \\\"category_id\\\" = '10' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c19\\\"\\nGROUP BY \\\"category_id\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"category_id\", \"condition_rate\"], \"rows\": [{\"category_id\": \"10\", \"condition_rate\": 1.0}, {\"category_id\": \"43\", \"condition_rate\": 0.0}, {\"category_id\": \"29\", \"condition_rate\": 0.0}, {\"category_id\": \"28\", \"condition_rate\": 0.0}, {\"category_id\": \"27\", \"condition_rate\": 0.0}, {\"category_id\": \"26\", \"condition_rate\": 0.0}, {\"category_id\": \"25\", \"condition_rate\": 0.0}, {\"category_id\": \"24\", \"condition_rate\": 0.0}, {\"category_id\": \"23\", \"condition_rate\": 0.0}, {\"category_id\": \"22\", \"condition_rate\": 0.0}, {\"category_id\": \"20\", \"condition_rate\": 0.0}, {\"category_id\": \"2\", \"condition_rate\": 0.0}, {\"category_id\": \"19\", \"condition_rate\": 0.0}, {\"category_id\": \"17\", \"condition_rate\": 0.0}, {\"category_id\": \"15\", \"condition_rate\": 0.0}, {\"category_id\": \"1\", \"condition_rate\": 0.0}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 48.26}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_d4ea80bfbca4fe98/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T16:00:39.141527+00:00",
+  "ended_at": "2026-05-19T16:00:48.282232+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_d4ea80bfbca4fe98",
+    "problem_id": "v2p_c19_829820fe081e3a3c",
+    "dataset_id": "c19",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=category_id, condition_col=category_id.",
+    "bindings": {
+      "group_col": "category_id",
+      "condition_col": "category_id",
+      "condition_value": "10",
+      "positive_value": "24",
+      "negative_value": "10",
+      "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": 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": "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=5",
+      "sql_variant_index=2/2",
+      "binding_index=100"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "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_d4ea80bfbca4fe98.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_d4ea80bfbca4fe98",
+    "api_calls": 0,
+    "input_tokens": 17083,
+    "cached_input_tokens": 12032,
+    "output_tokens": 330,
+    "total_tokens": 17413,
+    "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": 9056.44,
+    "sql_execution_elapsed_ms_total": 48.26,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_d4ea80bfbca4fe98/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_d4ea80bfbca4fe98/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:00:48.232505+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": 9056.44, "started_at": "2026-05-19T16:00:39.175210+00:00", "ended_at": "2026-05-19T16:00:48.231680+00:00", "prompt_metrics": {"chars": 16828, "bytes_utf8": 16836, "lines": 291, "estimated_tokens": null}, "response_metrics": {"chars": 530, "bytes_utf8": 530, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 17083, "cached_input_tokens": 12032, "output_tokens": 330, "reasoning_output_tokens": 192}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"category_id\\\",\\n       AVG(CASE WHEN \\\"category_id\\\" = '10' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c19\\\"\\nGROUP BY \\\"category_id\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the requested Grouped Condition Rate template with group_col and condition_col both bound to \\\"category_id\\\" and condition_value fixed to '10'. Because the grouping column and condition column are the same, the rate is 1 for group '10' and 0 for all other category_id groups.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_d4ea80bfbca4fe98/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_d4ea80bfbca4fe98",
+  "api_calls": 0,
+  "input_tokens": 17083,
+  "cached_input_tokens": 12032,
+  "output_tokens": 330,
+  "total_tokens": 17413,
+  "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": 9056.44,
+  "sql_execution_elapsed_ms_total": 48.26,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_d4ea80bfbca4fe98/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_ea7bec3824462fc0/run_manifest.json

@@ -0,0 +1,72 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T16:01:20.792945+00:00",
+  "ended_at": "2026-05-19T16:01:28.303165+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_ea7bec3824462fc0",
+    "problem_id": "v2p_c19_1d405f8042d25669",
+    "dataset_id": "c19",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "direction_consistency",
+    "intended_facet_id": "conditional_rate_shift",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=video_error_or_removed, condition_col=video_error_or_removed.",
+    "bindings": {
+      "group_col": "video_error_or_removed",
+      "condition_col": "video_error_or_removed",
+      "condition_value": "False",
+      "positive_value": "False",
+      "negative_value": "True",
+      "top_k": 13,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 5755.0,
+      "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=conditional_rate_shift",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/2",
+      "binding_index=103"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 8,
+    "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_d/c19/artifacts/v2q_c19_ea7bec3824462fc0/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:01:23.836297+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": 3014.38, "started_at": "2026-05-19T16:01:20.821073+00:00", "ended_at": "2026-05-19T16:01:23.835480+00:00", "prompt_metrics": {"chars": 16866, "bytes_utf8": 16874, "lines": 291, "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\":\"019e40f8-64c3-7583-ac15-b0f6d0c86bd4\"}\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": "2026-05-19T16:01:28.303077+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": 3464.19, "started_at": "2026-05-19T16:01:24.838113+00:00", "ended_at": "2026-05-19T16:01:28.302347+00:00", "prompt_metrics": {"chars": 16866, "bytes_utf8": 16874, "lines": 291, "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\":\"019e40f8-7492-7371-8072-8c7b4ea9a3fe\"}\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_f66908c927c86c87/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=category_id, condition_col=category_id.
+Result preview: [{"category_id": "10", "condition_rate": 1.0}, {"category_id": "43", "condition_rate": 0.0}, {"category_id": "29", "condition_rate": 0.0}, {"category_id": "28", "condition_rate": 0.0}, {"category_id": "27", "condition_rate": 0.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_f66908c927c86c87/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"category_id\",\n       AVG(CASE WHEN \"category_id\" = '10' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c19\"\nGROUP BY \"category_id\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"category_id\\\",\\n       AVG(CASE WHEN \\\"category_id\\\" = '10' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c19\\\"\\nGROUP BY \\\"category_id\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"category_id\", \"condition_rate\"], \"rows\": [{\"category_id\": \"10\", \"condition_rate\": 1.0}, {\"category_id\": \"43\", \"condition_rate\": 0.0}, {\"category_id\": \"29\", \"condition_rate\": 0.0}, {\"category_id\": \"28\", \"condition_rate\": 0.0}, {\"category_id\": \"27\", \"condition_rate\": 0.0}, {\"category_id\": \"26\", \"condition_rate\": 0.0}, {\"category_id\": \"25\", \"condition_rate\": 0.0}, {\"category_id\": \"24\", \"condition_rate\": 0.0}, {\"category_id\": \"23\", \"condition_rate\": 0.0}, {\"category_id\": \"22\", \"condition_rate\": 0.0}, {\"category_id\": \"20\", \"condition_rate\": 0.0}, {\"category_id\": \"2\", \"condition_rate\": 0.0}, {\"category_id\": \"19\", \"condition_rate\": 0.0}, {\"category_id\": \"17\", \"condition_rate\": 0.0}, {\"category_id\": \"15\", \"condition_rate\": 0.0}, {\"category_id\": \"1\", \"condition_rate\": 0.0}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 43.63}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_f66908c927c86c87/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c19",
+  "started_at": "2026-05-19T15:59:25.134023+00:00",
+  "ended_at": "2026-05-19T15:59:35.090722+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c19_f66908c927c86c87",
+    "problem_id": "v2p_c19_8ed53f7a23574501",
+    "dataset_id": "c19",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "focused_target_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=category_id, condition_col=category_id.",
+    "bindings": {
+      "group_col": "category_id",
+      "condition_col": "category_id",
+      "condition_value": "10",
+      "positive_value": "24",
+      "negative_value": "10",
+      "top_k": 16,
+      "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": 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": "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=1",
+      "sql_variant_index=2/2",
+      "binding_index=96"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "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_f66908c927c86c87.sql",
+  "usage_summary": {
+    "dataset_id": "c19",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c19_f66908c927c86c87",
+    "api_calls": 0,
+    "input_tokens": 17083,
+    "cached_input_tokens": 15744,
+    "output_tokens": 388,
+    "total_tokens": 17471,
+    "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": 9884.05,
+    "sql_execution_elapsed_ms_total": 43.63,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_f66908c927c86c87/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_f66908c927c86c87/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c19",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c19_f66908c927c86c87",
+  "api_calls": 0,
+  "input_tokens": 17083,
+  "cached_input_tokens": 15744,
+  "output_tokens": 388,
+  "total_tokens": 17471,
+  "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": 9884.05,
+  "sql_execution_elapsed_ms_total": 43.63,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c19/artifacts/v2q_c19_f66908c927c86c87/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c19/sql/v2q_c19_0101ea7639439717.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/sql/v2q_c19_012179ca0858d5c4.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/sql/v2q_c19_02fdecb9d0e95601.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/sql/v2q_c19_059f45358b4402af.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;