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Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/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 filtered_stable_view. Focus on group_col=rating, measure_col=release_year.
+Result preview: [{"rating": "TV-MA", "group_value": 6467434}, {"rating": "TV-14", "group_value": 4349496}, {"rating": "TV-PG", "group_value": 1737676}, {"rating": "R", "group_value": 1606367}, {"rating": "PG-13", "group_value": 984564}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/generated_sql.sql

@@ -0,0 +1,30 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_mass_similarity
+-- intended_facet_id: tail_ranked_signal
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_tpch_relative_total_threshold
+-- query_record_id: v2q_c17_016a9211af8c3b76
+-- problem_id: v2p_c17_3692e232b1176433
+-- realization_mode: agent
+-- source_kind: agent
+WITH grouped AS (
+    SELECT "rating", SUM(CAST("release_year" AS INTEGER)) AS group_value
+    FROM "c17"
+    WHERE "rating" IS NOT NULL
+      AND TRIM("rating") <> ''
+      AND "release_year" IS NOT NULL
+      AND TRIM("release_year") <> ''
+    GROUP BY "rating"
+), total AS (
+    SELECT SUM(group_value) AS total_value
+    FROM grouped
+)
+SELECT g."rating", g.group_value
+FROM grouped AS g
+CROSS JOIN total AS t
+WHERE g.group_value > t.total_value * 0.05
+ORDER BY g.group_value DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/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 \"rating\", SUM(CAST(\"release_year\" AS INTEGER)) AS group_value\n    FROM \"c17\"\n    WHERE \"rating\" IS NOT NULL\n      AND TRIM(\"rating\") <> ''\n      AND \"release_year\" IS NOT NULL\n      AND TRIM(\"release_year\") <> ''\n    GROUP BY \"rating\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"rating\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"rating\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS group_value\\n    FROM \\\"c17\\\"\\n    WHERE \\\"rating\\\" IS NOT NULL\\n      AND TRIM(\\\"rating\\\") <> ''\\n      AND \\\"release_year\\\" IS NOT NULL\\n      AND TRIM(\\\"release_year\\\") <> ''\\n    GROUP BY \\\"rating\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"rating\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"rating\", \"group_value\"], \"rows\": [{\"rating\": \"TV-MA\", \"group_value\": 6467434}, {\"rating\": \"TV-14\", \"group_value\": 4349496}, {\"rating\": \"TV-PG\", \"group_value\": 1737676}, {\"rating\": \"R\", \"group_value\": 1606367}, {\"rating\": \"PG-13\", \"group_value\": 984564}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.78}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:44:13.740209+00:00",
+  "ended_at": "2026-05-19T15:44:33.188739+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_016a9211af8c3b76",
+    "problem_id": "v2p_c17_3692e232b1176433",
+    "dataset_id": "c17",
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_mass_similarity",
+    "intended_facet_id": "tail_ranked_signal",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=rating, measure_col=release_year.",
+    "bindings": {
+      "group_col": "rating",
+      "measure_col": "release_year",
+      "top_k": 19,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 2018.0,
+      "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=2/2",
+      "binding_index=74"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 7,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_016a9211af8c3b76.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_016a9211af8c3b76",
+    "api_calls": 0,
+    "input_tokens": 14783,
+    "cached_input_tokens": 13696,
+    "output_tokens": 714,
+    "total_tokens": 15497,
+    "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": 19431.87,
+    "sql_execution_elapsed_ms_total": 10.78,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:44:33.175492+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": 19431.87, "started_at": "2026-05-19T15:44:13.742240+00:00", "ended_at": "2026-05-19T15:44:33.174134+00:00", "prompt_metrics": {"chars": 9731, "bytes_utf8": 9733, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 842, "bytes_utf8": 842, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14783, "cached_input_tokens": 13696, "output_tokens": 714, "reasoning_output_tokens": 501}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"rating\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS group_value\\n    FROM \\\"c17\\\"\\n    WHERE \\\"rating\\\" IS NOT NULL\\n      AND TRIM(\\\"rating\\\") <> ''\\n      AND \\\"release_year\\\" IS NOT NULL\\n      AND TRIM(\\\"release_year\\\") <> ''\\n    GROUP BY \\\"rating\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"rating\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applies the requested relative-to-total threshold template with group_col=rating and measure_col=release_year, casting release_year to INTEGER for SQLite aggregation and filtering out null/blank rating and release_year values for a stable grouped view.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_016a9211af8c3b76",
+  "api_calls": 0,
+  "input_tokens": 14783,
+  "cached_input_tokens": 13696,
+  "output_tokens": 714,
+  "total_tokens": 15497,
+  "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": 19431.87,
+  "sql_execution_elapsed_ms_total": 10.78,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/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=type, measure_col=release_year.
+Result preview: [{"type": "Movie", "total_measure": 12342448}, {"type": "TV Show", "total_measure": 5396437}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_022224b9a66265b8
+-- problem_id: v2p_c17_119a527497cee65b
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "type", SUM(CAST("release_year" AS INTEGER)) AS total_measure
+FROM "c17"
+GROUP BY "type"
+ORDER BY total_measure DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/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 \"type\", SUM(CAST(\"release_year\" AS INTEGER)) AS total_measure\nFROM \"c17\"\nGROUP BY \"type\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"type\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"type\", \"total_measure\"], \"rows\": [{\"type\": \"Movie\", \"total_measure\": 12342448}, {\"type\": \"TV Show\", \"total_measure\": 5396437}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.86}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:28:26.405131+00:00",
+  "ended_at": "2026-05-19T15:28:35.852957+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_022224b9a66265b8",
+    "problem_id": "v2p_c17_119a527497cee65b",
+    "dataset_id": "c17",
+    "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=type, measure_col=release_year.",
+    "bindings": {
+      "group_col": "type",
+      "measure_col": "release_year",
+      "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": 2018.0,
+      "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}, 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_b/c17/sql/v2q_c17_022224b9a66265b8.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_022224b9a66265b8",
+    "api_calls": 0,
+    "input_tokens": 14645,
+    "cached_input_tokens": 4480,
+    "output_tokens": 320,
+    "total_tokens": 14965,
+    "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": 9438.73,
+    "sql_execution_elapsed_ms_total": 4.86,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:28:35.846754+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": 9438.73, "started_at": "2026-05-19T15:28:26.407242+00:00", "ended_at": "2026-05-19T15:28:35.846018+00:00", "prompt_metrics": {"chars": 9171, "bytes_utf8": 9173, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14645, "cached_input_tokens": 4480, "output_tokens": 320, "reasoning_output_tokens": 223}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"type\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped numeric sum template with group_col=\\\"type\\\" and measure_col=\\\"release_year\\\". CAST was added because \\\"release_year\\\" is stored as TEXT in the schema.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_022224b9a66265b8",
+  "api_calls": 0,
+  "input_tokens": 14645,
+  "cached_input_tokens": 4480,
+  "output_tokens": 320,
+  "total_tokens": 14965,
+  "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": 9438.73,
+  "sql_execution_elapsed_ms_total": 4.86,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/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=duration, measure_col=release_year.
+Result preview: [{"duration": "11 min", "director": "Momoko Kamiya", "total_measure": 4036.0, "share_within_group": 100.0}, {"duration": "14 min", "director": "Harry Chaskin", "total_measure": 2017.0, "share_within_group": 100.0}, {"duration": "15 Seasons", "director": "Phil Sgriccia", "total_measure": 2019.0, "share_within_group": 100.0}, {"duration": "16 min", "director": "Sharmeen Obaid-Chinoy", "total_measure": 2020.0, "share_within_group": 100.0}, {"duration": "167 min", "director": "Martin Scorsese", "total_measure": 2002.0, "share_within_group": 100.0}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/generated_sql.sql

@@ -0,0 +1,24 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_0aa74ca4b439034a
+-- problem_id: v2p_c17_a7e749212a22173d
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "duration",
+  "director",
+  SUM(CAST("release_year" AS REAL)) AS total_measure,
+  SUM(CAST("release_year" AS REAL)) * 100.0 / SUM(SUM(CAST("release_year" AS REAL))) OVER (PARTITION BY "duration") AS share_within_group
+FROM "c17"
+WHERE TRIM(COALESCE("duration", '')) <> ''
+  AND TRIM(COALESCE("director", '')) <> ''
+  AND TRIM(COALESCE("release_year", '')) <> ''
+GROUP BY "duration", "director"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/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  \"duration\",\n  \"director\",\n  SUM(CAST(\"release_year\" AS REAL)) AS total_measure,\n  SUM(CAST(\"release_year\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"release_year\" AS REAL))) OVER (PARTITION BY \"duration\") AS share_within_group\nFROM \"c17\"\nWHERE TRIM(COALESCE(\"duration\", '')) <> ''\n  AND TRIM(COALESCE(\"director\", '')) <> ''\n  AND TRIM(COALESCE(\"release_year\", '')) <> ''\nGROUP BY \"duration\", \"director\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"duration\\\",\\n  \\\"director\\\",\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"duration\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nWHERE TRIM(COALESCE(\\\"duration\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"director\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"release_year\\\", '')) <> ''\\nGROUP BY \\\"duration\\\", \\\"director\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"duration\", \"director\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"duration\": \"11 min\", \"director\": \"Momoko Kamiya\", \"total_measure\": 4036.0, \"share_within_group\": 100.0}, {\"duration\": \"14 min\", \"director\": \"Harry Chaskin\", \"total_measure\": 2017.0, \"share_within_group\": 100.0}, {\"duration\": \"15 Seasons\", \"director\": \"Phil Sgriccia\", \"total_measure\": 2019.0, \"share_within_group\": 100.0}, {\"duration\": \"16 min\", \"director\": \"Sharmeen Obaid-Chinoy\", \"total_measure\": 2020.0, \"share_within_group\": 100.0}, {\"duration\": \"167 min\", \"director\": \"Martin Scorsese\", \"total_measure\": 2002.0, \"share_within_group\": 100.0}, {\"duration\": \"178 min\", \"director\": \"Raj Kapoor\", \"total_measure\": 1985.0, \"share_within_group\": 100.0}, {\"duration\": \"18 min\", \"director\": \"John Ford\", \"total_measure\": 1942.0, \"share_within_group\": 100.0}, {\"duration\": \"186 min\", \"director\": \"Cristi Puiu\", \"total_measure\": 2010.0, \"share_within_group\": 100.0}, {\"duration\": \"189 min\", \"director\": \"Paul Thomas Anderson\", \"total_measure\": 1999.0, \"share_within_group\": 100.0}, {\"duration\": \"19 min\", \"director\": \"Daniel Wilner\", \"total_measure\": 2017.0, \"share_within_group\": 100.0}, {\"duration\": \"191 min\", \"director\": \"Lawrence Kasdan\", \"total_measure\": 1994.0, \"share_within_group\": 100.0}, {\"duration\": \"193 min\", \"director\": \"Sooraj R. Barjatya\", \"total_measure\": 1994.0, \"share_within_group\": 100.0}, {\"duration\": \"194 min\", \"director\": \"Youssef Chahine\", \"total_measure\": 1963.0, \"share_within_group\": 100.0}, {\"duration\": \"196 min\", \"director\": \"Bassam Kurdali\", \"total_measure\": 2006.0, \"share_within_group\": 100.0}, {\"duration\": \"200 min\", \"director\": \"David Lean\", \"total_measure\": 1965.0, \"share_within_group\": 100.0}, {\"duration\": \"201 min\", \"director\": \"Peter Jackson\", \"total_measure\": 2003.0, \"share_within_group\": 100.0}, {\"duration\": \"203 min\", \"director\": \"Ashutosh Gowariker\", \"total_measure\": 2009.0, \"share_within_group\": 100.0}, {\"duration\": \"205 min\", \"director\": \"David Batty\", \"total_measure\": 2015.0, \"share_within_group\": 100.0}, {\"duration\": \"208 min\", \"director\": \"Martin Scorsese\", \"total_measure\": 2005.0, \"share_within_group\": 100.0}, {\"duration\": \"212 min\", \"director\": \"Hidenori Inoue\", \"total_measure\": 2017.0, \"share_within_group\": 100.0}, {\"duration\": \"214 min\", \"director\": \"Ashutosh Gowariker\", \"total_measure\": 2008.0, \"share_within_group\": 100.0}, {\"duration\": \"224 min\", \"director\": \"Ashutosh Gowariker\", \"total_measure\": 2001.0, \"share_within_group\": 100.0}, {\"duration\": \"228 min\", \"director\": \"Raj Kapoor\", \"total_measure\": 1964.0, \"share_within_group\": 100.0}, {\"duration\": \"229 min\", \"director\": \"Sergio Leone\", \"total_measure\": 1984.0, \"share_within_group\": 100.0}, {\"duration\": \"230 min\", \"director\": \"Hussein Kamal\", \"total_measure\": 1984.0, \"share_within_group\": 100.0}, {\"duration\": \"233 min\", \"director\": \"Fouad El-Mohandes\", \"total_measure\": 1982.0, \"share_within_group\": 100.0}, {\"duration\": \"237 min\", \"director\": \"Samir Al Asfory\", \"total_measure\": 1979.0, \"share_within_group\": 100.0}, {\"duration\": \"253 min\", \"director\": \"Houssam El-Din Mustafa\", \"total_measure\": 1973.0, \"share_within_group\": 100.0}, {\"duration\": \"3 min\", \"director\": \"Limbert Fabian, Brandon Oldenburg\", \"total_measure\": 2014.0, \"share_within_group\": 100.0}, {\"duration\": \"36 min\", \"director\": \"Manolo Caro\", \"total_measure\": 2019.0, \"share_within_group\": 100.0}, {\"duration\": \"37 min\", \"director\": \"Roy Allen Smith\", \"total_measure\": 2003.0, \"share_within_group\": 100.0}, {\"duration\": \"39 min\", \"director\": \"Matt Ogens\", \"total_measure\": 2021.0, \"share_within_group\": 100.0}, {\"duration\": \"43 min\", \"director\": \"Chad Van De Keere\", \"total_measure\": 2012.0, \"share_within_group\": 100.0}, {\"duration\": \"5 min\", \"director\": \"Akira Saitoh\", \"total_measure\": 2020.0, \"share_within_group\": 100.0}, {\"duration\": \"7 Seasons\", \"director\": \"Glen Winter\", \"total_measure\": 2021.0, \"share_within_group\": 100.0}, {\"duration\": \"8 min\", \"director\": \"Arnon Manor, Timothy Ware-Hill\", \"total_measure\": 2020.0, \"share_within_group\": 100.0}, {\"duration\": \"9 min\", \"director\": \"Frank E. Abney III\", \"total_measure\": 2020.0, \"share_within_group\": 100.0}, {\"duration\": \"182 min\", \"director\": \"Hidenori Inoue\", \"total_measure\": 4026.0, \"share_within_group\": 66.61151555261416}, {\"duration\": \"23 min\", \"director\": \"Joey So\", \"total_measure\": 12117.0, \"share_within_group\": 60.04459861248761}, {\"duration\": \"174 min\", \"director\": \"Zoya Akhtar\", \"total_measure\": 2015.0, \"share_within_group\": 50.31210986267166}, {\"duration\": \"204 min\", \"director\": \"Hidenori Inoue\", \"total_measure\": 2017.0, \"share_within_group\": 50.26164963867431}, {\"duration\": \"31 min\", \"director\": \"Raúl Campos, Jan Suter\", \"total_measure\": 2016.0, \"share_within_group\": 50.224215246636774}, {\"duration\": \"209 min\", \"director\": \"Martin Scorsese\", \"total_measure\": 2019.0, \"share_within_group\": 50.223880597014926}, {\"duration\": \"192 min\", \"director\": \"Karan Johar\", \"total_measure\": 2006.0, \"share_within_group\": 50.212765957446805}, {\"duration\": \"195 min\", \"director\": \"Steven Spielberg\", \"total_measure\": 1993.0, \"share_within_group\": 50.15098137896326}, {\"duration\": \"179 min\", \"director\": \"Farah Khan\", \"total_measure\": 2014.0, \"share_within_group\": 50.14940239043825}, {\"duration\": \"187 min\", \"director\": \"Nikkhil Advani\", \"total_measure\": 2003.0, \"share_within_group\": 50.075}, {\"duration\": \"180 min\", \"director\": \"Hanung Bramantyo\", \"total_measure\": 2019.0, \"share_within_group\": 50.07440476190476}, {\"duration\": \"190 min\", \"director\": \"Claire Scanlon\", \"total_measure\": 2020.0, \"share_within_group\": 50.07436787307883}, {\"duration\": \"20 min\", \"director\": \"Sophia Nahli Allison\", \"total_measure\": 2020.0, \"share_within_group\": 50.024764735017335}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 41.56}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:36:48.367524+00:00",
+  "ended_at": "2026-05-19T15:37:04.134392+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_0aa74ca4b439034a",
+    "problem_id": "v2p_c17_a7e749212a22173d",
+    "dataset_id": "c17",
+    "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=duration, measure_col=release_year.",
+    "bindings": {
+      "group_col": "duration",
+      "measure_col": "release_year",
+      "item_col": "director",
+      "top_k": 11,
+      "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": 2019.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/2",
+      "binding_index=31"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "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",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_0aa74ca4b439034a.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_0aa74ca4b439034a",
+    "api_calls": 0,
+    "input_tokens": 14762,
+    "cached_input_tokens": 12032,
+    "output_tokens": 738,
+    "total_tokens": 15500,
+    "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": 15718.67,
+    "sql_execution_elapsed_ms_total": 41.56,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:37:04.089984+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": 15718.67, "started_at": "2026-05-19T15:36:48.369959+00:00", "ended_at": "2026-05-19T15:37:04.088654+00:00", "prompt_metrics": {"chars": 9583, "bytes_utf8": 9585, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 806, "bytes_utf8": 806, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14762, "cached_input_tokens": 12032, "output_tokens": 738, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"duration\\\",\\n  \\\"director\\\",\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"duration\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nWHERE TRIM(COALESCE(\\\"duration\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"director\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"release_year\\\", '')) <> ''\\nGROUP BY \\\"duration\\\", \\\"director\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned template with group_col=\\\"duration\\\", item_col=\\\"director\\\", and measure_col=\\\"release_year\\\". Cast release_year to REAL for SQLite aggregation and excluded blank duration/director/release_year values so within-group shares are based on usable records.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_0aa74ca4b439034a",
+  "api_calls": 0,
+  "input_tokens": 14762,
+  "cached_input_tokens": 12032,
+  "output_tokens": 738,
+  "total_tokens": 15500,
+  "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": 15718.67,
+  "sql_execution_elapsed_ms_total": 41.56,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a196b0dc335544a/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=type, condition_col=type.
+Result preview: [{"type": "Movie", "condition_rate": 1.0}, {"type": "TV Show", "condition_rate": 0.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a196b0dc335544a/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_m4_group_condition_rate
+-- query_record_id: v2q_c17_2a196b0dc335544a
+-- problem_id: v2p_c17_631ea60b69113fe7
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "type",
+       AVG(CASE WHEN "type" = 'Movie' THEN 1 ELSE 0 END) AS "condition_rate"
+FROM "c17"
+GROUP BY "type"
+ORDER BY "condition_rate" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a196b0dc335544a/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 \"type\",\n       AVG(CASE WHEN \"type\" = 'Movie' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c17\"\nGROUP BY \"type\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"type\\\",\\n       AVG(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"type\", \"condition_rate\"], \"rows\": [{\"type\": \"Movie\", \"condition_rate\": 1.0}, {\"type\": \"TV Show\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.38}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a196b0dc335544a/run_manifest.json

@@ -0,0 +1,92 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:55:29.431470+00:00",
+  "ended_at": "2026-05-19T15:55:41.623856+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_2a196b0dc335544a",
+    "problem_id": "v2p_c17_631ea60b69113fe7",
+    "dataset_id": "c17",
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "dependency_strength_similarity",
+    "intended_facet_id": "pairwise_conditional_dependency",
+    "variant_semantic_role": "within_group_proportion",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=type, condition_col=type.",
+    "bindings": {
+      "group_col": "type",
+      "condition_col": "type",
+      "condition_value": "Movie",
+      "positive_value": "Movie",
+      "negative_value": "TV Show",
+      "top_k": 10,
+      "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": 2019.0,
+      "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=1/2",
+      "binding_index=100"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 5,
+    "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_b/c17/sql/v2q_c17_2a196b0dc335544a.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_2a196b0dc335544a",
+    "api_calls": 0,
+    "input_tokens": 14706,
+    "cached_input_tokens": 13696,
+    "output_tokens": 433,
+    "total_tokens": 15139,
+    "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": 12180.15,
+    "sql_execution_elapsed_ms_total": 6.38,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a196b0dc335544a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a196b0dc335544a/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:55:41.615513+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": 12180.15, "started_at": "2026-05-19T15:55:29.434500+00:00", "ended_at": "2026-05-19T15:55:41.614672+00:00", "prompt_metrics": {"chars": 9418, "bytes_utf8": 9420, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 407, "bytes_utf8": 407, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14706, "cached_input_tokens": 13696, "output_tokens": 433, "reasoning_output_tokens": 325}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"type\\\",\\n       AVG(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the requested grouped condition rate template with both group_col and condition_col bound to \\\"type\\\", measuring the within-group proportion of rows where type = 'Movie'.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a196b0dc335544a/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_2a196b0dc335544a",
+  "api_calls": 0,
+  "input_tokens": 14706,
+  "cached_input_tokens": 13696,
+  "output_tokens": 433,
+  "total_tokens": 15139,
+  "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": 12180.15,
+  "sql_execution_elapsed_ms_total": 6.38,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a196b0dc335544a/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2de86b2ccf69e931/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=release_year.
+Result preview: [{"release_year": 2021}, {"release_year": 2021}, {"release_year": 2021}, {"release_year": 2021}, {"release_year": 2021}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2de86b2ccf69e931/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: rare_extreme_view
+-- template_id: tpl_m4_quantile_tail_slice
+-- query_record_id: v2q_c17_2de86b2ccf69e931
+-- problem_id: v2p_c17_d9e9db3a566016fd
+-- realization_mode: agent
+-- source_kind: agent
+WITH "buckets" AS (
+    SELECT
+        CAST("release_year" AS INTEGER) AS "release_year",
+        NTILE(10) OVER (ORDER BY CAST("release_year" AS INTEGER) DESC) AS "tail_bucket"
+    FROM "c17"
+    WHERE "release_year" IS NOT NULL
+      AND TRIM("release_year") <> ''
+)
+SELECT "release_year"
+FROM "buckets"
+WHERE "tail_bucket" = 1
+ORDER BY "release_year" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2de86b2ccf69e931/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice.\nWITH \"buckets\" AS (\n    SELECT\n        CAST(\"release_year\" AS INTEGER) AS \"release_year\",\n        NTILE(10) OVER (ORDER BY CAST(\"release_year\" AS INTEGER) DESC) AS \"tail_bucket\"\n    FROM \"c17\"\n    WHERE \"release_year\" IS NOT NULL\n      AND TRIM(\"release_year\") <> ''\n)\nSELECT \"release_year\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"release_year\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice.\\nWITH \\\"buckets\\\" AS (\\n    SELECT\\n        CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year\\\",\\n        NTILE(10) OVER (ORDER BY CAST(\\\"release_year\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"c17\\\"\\n    WHERE \\\"release_year\\\" IS NOT NULL\\n      AND TRIM(\\\"release_year\\\") <> ''\\n)\\nSELECT \\\"release_year\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"release_year\\\" DESC;\", \"columns\": [\"release_year\"], \"rows\": [{\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}, {\"release_year\": 2021}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 13.39}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2de86b2ccf69e931/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:41:38.612614+00:00",
+  "ended_at": "2026-05-19T15:41:52.397263+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_2de86b2ccf69e931",
+    "problem_id": "v2p_c17_d9e9db3a566016fd",
+    "dataset_id": "c17",
+    "template_id": "tpl_m4_quantile_tail_slice",
+    "template_name": "Quantile Tail Slice",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "rare_extreme_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=release_year.",
+    "bindings": {
+      "measure_col": "release_year",
+      "top_k": 12,
+      "top_n": 5,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 2019.0,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "WITH buckets AS (\n    SELECT {measure_col},\n           NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n    FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
+    "notes": [
+      "default_facets=low_support_extremes",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=1/1",
+      "binding_index=62"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "problem_index_within_template": 3,
+    "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_b/c17/sql/v2q_c17_2de86b2ccf69e931.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_2de86b2ccf69e931",
+    "api_calls": 0,
+    "input_tokens": 14700,
+    "cached_input_tokens": 13696,
+    "output_tokens": 697,
+    "total_tokens": 15397,
+    "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": 13765.86,
+    "sql_execution_elapsed_ms_total": 13.39,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2de86b2ccf69e931/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2de86b2ccf69e931/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:41:52.382251+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": 13765.86, "started_at": "2026-05-19T15:41:38.614673+00:00", "ended_at": "2026-05-19T15:41:52.380564+00:00", "prompt_metrics": {"chars": 9349, "bytes_utf8": 9351, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 671, "bytes_utf8": 671, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14700, "cached_input_tokens": 13696, "output_tokens": 697, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice.\\nWITH \\\"buckets\\\" AS (\\n    SELECT\\n        CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year\\\",\\n        NTILE(10) OVER (ORDER BY CAST(\\\"release_year\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n    FROM \\\"c17\\\"\\n    WHERE \\\"release_year\\\" IS NOT NULL\\n      AND TRIM(\\\"release_year\\\") <> ''\\n)\\nSELECT \\\"release_year\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"release_year\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"release_year\\\" and num_tiles=10. Cast \\\"release_year\\\" to INTEGER for correct numeric ordering in SQLite because the column is stored as TEXT.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2de86b2ccf69e931/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_2de86b2ccf69e931",
+  "api_calls": 0,
+  "input_tokens": 14700,
+  "cached_input_tokens": 13696,
+  "output_tokens": 697,
+  "total_tokens": 15397,
+  "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": 13765.86,
+  "sql_execution_elapsed_ms_total": 13.39,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2de86b2ccf69e931/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2f0110d614604de9/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=type, measure_col=release_year.
+Result preview: [{"type": "TV Show", "percentile_measure": 2021}, {"type": "Movie", "percentile_measure": 2020}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2f0110d614604de9/generated_sql.sql

@@ -0,0 +1,40 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_2f0110d614604de9
+-- problem_id: v2p_c17_29880c450b3e1b8c
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ranked" AS (
+  SELECT
+    "type",
+    CAST("release_year" AS INTEGER) AS "release_year_num",
+    CUME_DIST() OVER (
+      PARTITION BY "type"
+      ORDER BY CAST("release_year" AS INTEGER)
+    ) AS "cume_dist_value"
+  FROM "c17"
+  WHERE "type" IS NOT NULL
+    AND TRIM("type") <> ''
+    AND "release_year" IS NOT NULL
+    AND TRIM("release_year") <> ''
+),
+"percentile_points" AS (
+  SELECT
+    "type",
+    MIN("release_year_num") AS "percentile_measure"
+  FROM "ranked"
+  WHERE "cume_dist_value" >= 0.9
+  GROUP BY "type"
+)
+SELECT
+  "type",
+  "percentile_measure"
+FROM "percentile_points"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2f0110d614604de9/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 \"ranked\" AS (\n  SELECT\n    \"type\",\n    CAST(\"release_year\" AS INTEGER) AS \"release_year_num\",\n    CUME_DIST() OVER (\n      PARTITION BY \"type\"\n      ORDER BY CAST(\"release_year\" AS INTEGER)\n    ) AS \"cume_dist_value\"\n  FROM \"c17\"\n  WHERE \"type\" IS NOT NULL\n    AND TRIM(\"type\") <> ''\n    AND \"release_year\" IS NOT NULL\n    AND TRIM(\"release_year\") <> ''\n),\n\"percentile_points\" AS (\n  SELECT\n    \"type\",\n    MIN(\"release_year_num\") AS \"percentile_measure\"\n  FROM \"ranked\"\n  WHERE \"cume_dist_value\" >= 0.9\n  GROUP BY \"type\"\n)\nSELECT\n  \"type\",\n  \"percentile_measure\"\nFROM \"percentile_points\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"type\\\",\\n    CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_num\\\",\\n    CUME_DIST() OVER (\\n      PARTITION BY \\\"type\\\"\\n      ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n    ) AS \\\"cume_dist_value\\\"\\n  FROM \\\"c17\\\"\\n  WHERE \\\"type\\\" IS NOT NULL\\n    AND TRIM(\\\"type\\\") <> ''\\n    AND \\\"release_year\\\" IS NOT NULL\\n    AND TRIM(\\\"release_year\\\") <> ''\\n),\\n\\\"percentile_points\\\" AS (\\n  SELECT\\n    \\\"type\\\",\\n    MIN(\\\"release_year_num\\\") AS \\\"percentile_measure\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cume_dist_value\\\" >= 0.9\\n  GROUP BY \\\"type\\\"\\n)\\nSELECT\\n  \\\"type\\\",\\n  \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"type\", \"percentile_measure\"], \"rows\": [{\"type\": \"TV Show\", \"percentile_measure\": 2021}, {\"type\": \"Movie\", \"percentile_measure\": 2020}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 31.54}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2f0110d614604de9/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:51:17.504933+00:00",
+  "ended_at": "2026-05-19T15:51:38.173111+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_2f0110d614604de9",
+    "problem_id": "v2p_c17_29880c450b3e1b8c",
+    "dataset_id": "c17",
+    "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=type, measure_col=release_year.",
+    "bindings": {
+      "group_col": "type",
+      "measure_col": "release_year",
+      "top_k": 18,
+      "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": 2018.0,
+      "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=5",
+      "sql_variant_index=2/2",
+      "binding_index=88"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "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_b/c17/sql/v2q_c17_2f0110d614604de9.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_2f0110d614604de9",
+    "api_calls": 0,
+    "input_tokens": 14683,
+    "cached_input_tokens": 12032,
+    "output_tokens": 786,
+    "total_tokens": 15469,
+    "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": 20629.3,
+    "sql_execution_elapsed_ms_total": 31.54,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2f0110d614604de9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2f0110d614604de9/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:51:38.138758+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": 20629.3, "started_at": "2026-05-19T15:51:17.508000+00:00", "ended_at": "2026-05-19T15:51:38.137334+00:00", "prompt_metrics": {"chars": 9349, "bytes_utf8": 9351, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 923, "bytes_utf8": 923, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14683, "cached_input_tokens": 12032, "output_tokens": 786, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n  SELECT\\n    \\\"type\\\",\\n    CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_num\\\",\\n    CUME_DIST() OVER (\\n      PARTITION BY \\\"type\\\"\\n      ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n    ) AS \\\"cume_dist_value\\\"\\n  FROM \\\"c17\\\"\\n  WHERE \\\"type\\\" IS NOT NULL\\n    AND TRIM(\\\"type\\\") <> ''\\n    AND \\\"release_year\\\" IS NOT NULL\\n    AND TRIM(\\\"release_year\\\") <> ''\\n),\\n\\\"percentile_points\\\" AS (\\n  SELECT\\n    \\\"type\\\",\\n    MIN(\\\"release_year_num\\\") AS \\\"percentile_measure\\\"\\n  FROM \\\"ranked\\\"\\n  WHERE \\\"cume_dist_value\\\" >= 0.9\\n  GROUP BY \\\"type\\\"\\n)\\nSELECT\\n  \\\"type\\\",\\n  \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST to return the smallest release_year at or above the 90th percentile within each type group.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2f0110d614604de9/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_2f0110d614604de9",
+  "api_calls": 0,
+  "input_tokens": 14683,
+  "cached_input_tokens": 12032,
+  "output_tokens": 786,
+  "total_tokens": 15469,
+  "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": 20629.3,
+  "sql_execution_elapsed_ms_total": 31.54,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2f0110d614604de9/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3876b2c2f7519a50/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=rating.
+Result preview: [{"rating": "66 min", "support": 1}, {"rating": "74 min", "support": 1}, {"rating": "84 min", "support": 1}, {"rating": "NC-17", "support": 3}, {"rating": "UR", "support": 3}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3876b2c2f7519a50/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_3876b2c2f7519a50
+-- problem_id: v2p_c17_d719400c6c9dc029
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "rating",
+  COUNT(*) AS "support"
+FROM "c17"
+GROUP BY "rating"
+ORDER BY "support" ASC, "rating"
+LIMIT 11;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3876b2c2f7519a50/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n  \"rating\",\n  COUNT(*) AS \"support\"\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY \"support\" ASC, \"rating\"\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"rating\\\",\\n  COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"support\\\" ASC, \\\"rating\\\"\\nLIMIT 11;\", \"columns\": [\"rating\", \"support\"], \"rows\": [{\"rating\": \"66 min\", \"support\": 1}, {\"rating\": \"74 min\", \"support\": 1}, {\"rating\": \"84 min\", \"support\": 1}, {\"rating\": \"NC-17\", \"support\": 3}, {\"rating\": \"UR\", \"support\": 3}, {\"rating\": \"\", \"support\": 4}, {\"rating\": \"TV-Y7-FV\", \"support\": 6}, {\"rating\": \"G\", \"support\": 41}, {\"rating\": \"NR\", \"support\": 80}, {\"rating\": \"TV-G\", \"support\": 220}, {\"rating\": \"PG\", \"support\": 287}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.03}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3876b2c2f7519a50/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T16:00:04.517860+00:00",
+  "ended_at": "2026-05-19T16:00:14.467712+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_3876b2c2f7519a50",
+    "problem_id": "v2p_c17_d719400c6c9dc029",
+    "dataset_id": "c17",
+    "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=rating.",
+    "bindings": {
+      "group_col": "rating",
+      "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": 2019.0,
+      "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_b/c17/sql/v2q_c17_3876b2c2f7519a50.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_3876b2c2f7519a50",
+    "api_calls": 0,
+    "input_tokens": 14656,
+    "cached_input_tokens": 12032,
+    "output_tokens": 316,
+    "total_tokens": 14972,
+    "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": 9937.55,
+    "sql_execution_elapsed_ms_total": 7.03,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3876b2c2f7519a50/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3876b2c2f7519a50/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T16:00:14.458844+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": 9937.55, "started_at": "2026-05-19T16:00:04.520000+00:00", "ended_at": "2026-05-19T16:00:14.457577+00:00", "prompt_metrics": {"chars": 9155, "bytes_utf8": 9157, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14656, "cached_input_tokens": 12032, "output_tokens": 316, "reasoning_output_tokens": 218}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n  \\\"rating\\\",\\n  COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"support\\\" ASC, \\\"rating\\\"\\nLIMIT 11;\",\"notes\":\"Uses the planned Low-Support Group Count template with group_col bound to \\\"rating\\\" and top_k=11 to surface the least-supported rating groups.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3876b2c2f7519a50/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_3876b2c2f7519a50",
+  "api_calls": 0,
+  "input_tokens": 14656,
+  "cached_input_tokens": 12032,
+  "output_tokens": 316,
+  "total_tokens": 14972,
+  "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": 9937.55,
+  "sql_execution_elapsed_ms_total": 7.03,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3876b2c2f7519a50/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_41d6c171ad2c9c73/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=type.
+Result preview: [{"type": "TV Show", "support": 2676}, {"type": "Movie", "support": 6131}]

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_41d6c171ad2c9c73/generated_sql.sql

@@ -0,0 +1,20 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- family_id: tail_rarity_structure
+-- canonical_subitem_id: tail_set_consistency
+-- intended_facet_id: low_support_extremes
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_tail_low_support_group_count_v2
+-- query_record_id: v2q_c17_41d6c171ad2c9c73
+-- problem_id: v2p_c17_d84810f3a0f3a46e
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+    "type",
+    COUNT(*) AS "support"
+FROM "c17"
+GROUP BY "type"
+ORDER BY "support" ASC, "type"
+LIMIT 19;

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_41d6c171ad2c9c73/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"type\",\n    COUNT(*) AS \"support\"\nFROM \"c17\"\nGROUP BY \"type\"\nORDER BY \"support\" ASC, \"type\"\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"type\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY \\\"support\\\" ASC, \\\"type\\\"\\nLIMIT 19;\", \"columns\": [\"type\", \"support\"], \"rows\": [{\"type\": \"TV Show\", \"support\": 2676}, {\"type\": \"Movie\", \"support\": 6131}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.18}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_41d6c171ad2c9c73/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_b",
+  "dataset_id": "c17",
+  "started_at": "2026-05-19T15:59:35.982080+00:00",
+  "ended_at": "2026-05-19T15:59:43.823623+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c17_41d6c171ad2c9c73",
+    "problem_id": "v2p_c17_d84810f3a0f3a46e",
+    "dataset_id": "c17",
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "family_id": "tail_rarity_structure",
+    "canonical_subitem_id": "tail_set_consistency",
+    "intended_facet_id": "low_support_extremes",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=type.",
+    "bindings": {
+      "group_col": "type",
+      "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": 2019.0,
+      "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=5",
+      "sql_variant_index=2/2",
+      "binding_index=124"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 11,
+    "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_b/c17/sql/v2q_c17_41d6c171ad2c9c73.sql",
+  "usage_summary": {
+    "dataset_id": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_41d6c171ad2c9c73",
+    "api_calls": 0,
+    "input_tokens": 14654,
+    "cached_input_tokens": 13696,
+    "output_tokens": 250,
+    "total_tokens": 14904,
+    "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": 7831.34,
+    "sql_execution_elapsed_ms_total": 5.18,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_41d6c171ad2c9c73/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_41d6c171ad2c9c73/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:59:43.816760+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": 7831.34, "started_at": "2026-05-19T15:59:35.984414+00:00", "ended_at": "2026-05-19T15:59:43.815782+00:00", "prompt_metrics": {"chars": 9153, "bytes_utf8": 9155, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14654, "cached_input_tokens": 13696, "output_tokens": 250, "reasoning_output_tokens": 150}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"type\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY \\\"support\\\" ASC, \\\"type\\\"\\nLIMIT 19;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"type\\\" on the single table \\\"c17\\\", returning the least-supported type groups first.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_41d6c171ad2c9c73/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c17",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c17_41d6c171ad2c9c73",
+  "api_calls": 0,
+  "input_tokens": 14654,
+  "cached_input_tokens": 13696,
+  "output_tokens": 250,
+  "total_tokens": 14904,
+  "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": 7831.34,
+  "sql_execution_elapsed_ms_total": 5.18,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_41d6c171ad2c9c73/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45d45fe5d1c53b8b/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "TV-MA", "support": 3207, "support_share": 0.3641421596457363, "cumulative_support": 3207}, {"value_label": "TV-14", "support": 2160, "support_share": 0.24525945270807312, "cumulative_support": 5367}, {"value_label": "TV-PG", "support": 863, "support_share": 0.09799023504030885, "cumulative_support": 6230}, {"value_label": "R", "support": 799, "support_share": 0.09072328829340298, "cumulative_support": 7029}, {"value_label": "PG-13", "support": 490, "support_share": 0.05563756103099807, "cumulative_support": 7519}]}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45d45fe5d1c53b8b/generated_sql.sql

@@ -0,0 +1,28 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_b
+-- sql_source_dataset_id: c17
+-- 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_c17_45d45fe5d1c53b8b
+-- problem_id: v2p_c17_13c99a2409d58dd8
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "rating" AS value_label, COUNT(*) AS support
+    FROM "c17"
+    GROUP BY "rating"
+), 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;