Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/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=ord_0.
+Result preview: [{"ord_0": "3"}, {"ord_0": "3"}, {"ord_0": "3"}, {"ord_0": "3"}, {"ord_0": "3"}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/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: c14
+-- 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_c14_020e0a2a5441efb1
+-- problem_id: v2p_c14_09ab20c1177e904b
+-- realization_mode: agent
+-- source_kind: agent
+WITH buckets AS (
+    SELECT "ord_0",
+           NTILE(10) OVER (ORDER BY CAST("ord_0" AS INTEGER) DESC) AS tail_bucket
+    FROM "c14"
+)
+SELECT "ord_0"
+FROM buckets
+WHERE tail_bucket = 1
+ORDER BY CAST("ord_0" AS INTEGER) DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/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 \"ord_0\",\n           NTILE(10) OVER (ORDER BY CAST(\"ord_0\" AS INTEGER) DESC) AS tail_bucket\n    FROM \"c14\"\n)\nSELECT \"ord_0\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"ord_0\" AS INTEGER) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT \\\"ord_0\\\",\\n           NTILE(10) OVER (ORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC) AS tail_bucket\\n    FROM \\\"c14\\\"\\n)\\nSELECT \\\"ord_0\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC;\", \"columns\": [\"ord_0\"], \"rows\": [{\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}, {\"ord_0\": \"3\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 403.47}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/run_manifest.json

@@ -0,0 +1,87 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c14",
+  "started_at": "2026-05-19T15:45:35.367130+00:00",
+  "ended_at": "2026-05-19T15:45:51.716524+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c14_020e0a2a5441efb1",
+    "problem_id": "v2p_c14_09ab20c1177e904b",
+    "dataset_id": "c14",
+    "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=ord_0.",
+    "bindings": {
+      "measure_col": "ord_0",
+      "top_k": 11,
+      "top_n": 4,
+      "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": 2.5,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "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=2",
+      "sql_variant_index=1/1",
+      "binding_index=61"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 6,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_020e0a2a5441efb1.sql",
+  "usage_summary": {
+    "dataset_id": "c14",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c14_020e0a2a5441efb1",
+    "api_calls": 0,
+    "input_tokens": 15961,
+    "cached_input_tokens": 14720,
+    "output_tokens": 521,
+    "total_tokens": 16482,
+    "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": 15925.65,
+    "sql_execution_elapsed_ms_total": 403.47,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:45:51.309849+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": 15925.65, "started_at": "2026-05-19T15:45:35.383369+00:00", "ended_at": "2026-05-19T15:45:51.309038+00:00", "prompt_metrics": {"chars": 11858, "bytes_utf8": 11858, "lines": 394, "estimated_tokens": null}, "response_metrics": {"chars": 527, "bytes_utf8": 527, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15961, "cached_input_tokens": 14720, "output_tokens": 521, "reasoning_output_tokens": 370}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n    SELECT \\\"ord_0\\\",\\n           NTILE(10) OVER (ORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC) AS tail_bucket\\n    FROM \\\"c14\\\"\\n)\\nSELECT \\\"ord_0\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"ord_0\\\" AS INTEGER) DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with measure_col bound to \\\"ord_0\\\" and num_tiles=10. CAST to INTEGER is applied for correct numeric tail ordering because \\\"ord_0\\\" is stored as TEXT in the SQLite schema.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c14",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c14_020e0a2a5441efb1",
+  "api_calls": 0,
+  "input_tokens": 15961,
+  "cached_input_tokens": 14720,
+  "output_tokens": 521,
+  "total_tokens": 16482,
+  "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": 15925.65,
+  "sql_execution_elapsed_ms_total": 403.47,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_020e0a2a5441efb1/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "0", "support": 223018, "support_share": 0.7433933333333334, "support_rank": 1}, {"value_label": "1", "support": 76982, "support_share": 0.25660666666666665, "support_rank": 2}]}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c14
+-- family_id: cardinality_structure
+-- canonical_subitem_id: support_rank_profile_consistency
+-- intended_facet_id: value_imbalance_profile
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_cardinality_support_rank_profile
+-- query_record_id: v2q_c14_061ee8bedb20320f
+-- problem_id: v2p_c14_28bcfa5b05633f28
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "bin_1" AS value_label, COUNT(*) AS support
+    FROM "c14"
+    GROUP BY "bin_1"
+)
+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/c14/artifacts/v2q_c14_061ee8bedb20320f/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c14_061ee8bedb20320f\n-- problem_id: v2p_c14_28bcfa5b05633f28\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"bin_1\" AS value_label, COUNT(*) AS support\n    FROM \"c14\"\n    GROUP BY \"bin_1\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c14_061ee8bedb20320f\\n-- problem_id: v2p_c14_28bcfa5b05633f28\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"bin_1\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"c14\\\"\\n    GROUP BY \\\"bin_1\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 223018, \"support_share\": 0.7433933333333334, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 76982, \"support_share\": 0.25660666666666665, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 119.61}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c14",
+  "started_at": "2026-05-19T16:12:55.437340+00:00",
+  "ended_at": "2026-05-19T16:12:55.558738+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c14_061ee8bedb20320f",
+    "problem_id": "v2p_c14_28bcfa5b05633f28",
+    "dataset_id": "c14",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "value_imbalance_profile",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=bin_1.",
+    "bindings": {
+      "group_col": "bin_1"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=2",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 2,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_061ee8bedb20320f.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_061ee8bedb20320f/usage_summary.json

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

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/final_answer.txt

@@ -0,0 +1 @@
+{"row_count": null, "preview_rows": [{"value_label": "Oboe", "support": 92293, "support_share": 0.3076433333333333, "support_rank": 1}, {"value_label": "Piano", "support": 84517, "support_share": 0.2817233333333333, "support_rank": 2}, {"value_label": "Bassoon", "support": 68448, "support_share": 0.22816, "support_rank": 3}, {"value_label": "Theremin", "support": 54742, "support_share": 0.18247333333333332, "support_rank": 4}]}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/generated_sql.sql

@@ -0,0 +1,25 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c14
+-- 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_c14_0c2b064acf27cc64
+-- problem_id: v2p_c14_b013bb7aafc7d184
+-- realization_mode: deterministic
+-- source_kind: deterministic
+WITH grouped AS (
+    SELECT "nom_4" AS value_label, COUNT(*) AS support
+    FROM "c14"
+    GROUP BY "nom_4"
+)
+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/c14/artifacts/v2q_c14_0c2b064acf27cc64/query_results.jsonl

@@ -0,0 +1 @@
+{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: c14\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_c14_0c2b064acf27cc64\n-- problem_id: v2p_c14_b013bb7aafc7d184\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n    SELECT \"nom_4\" AS value_label, COUNT(*) AS support\n    FROM \"c14\"\n    GROUP BY \"nom_4\"\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: c14\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_c14_0c2b064acf27cc64\\n-- problem_id: v2p_c14_b013bb7aafc7d184\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n    SELECT \\\"nom_4\\\" AS value_label, COUNT(*) AS support\\n    FROM \\\"c14\\\"\\n    GROUP BY \\\"nom_4\\\"\\n)\\nSELECT\\n    value_label,\\n    support,\\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Oboe\", \"support\": 92293, \"support_share\": 0.3076433333333333, \"support_rank\": 1}, {\"value_label\": \"Piano\", \"support\": 84517, \"support_share\": 0.2817233333333333, \"support_rank\": 2}, {\"value_label\": \"Bassoon\", \"support\": 68448, \"support_share\": 0.22816, \"support_rank\": 3}, {\"value_label\": \"Theremin\", \"support\": 54742, \"support_share\": 0.18247333333333332, \"support_rank\": 4}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 144.28}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/run_manifest.json

@@ -0,0 +1,57 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c14",
+  "started_at": "2026-05-19T16:12:56.113509+00:00",
+  "ended_at": "2026-05-19T16:12:56.259361+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c14_0c2b064acf27cc64",
+    "problem_id": "v2p_c14_b013bb7aafc7d184",
+    "dataset_id": "c14",
+    "template_id": "tpl_cardinality_support_rank_profile",
+    "template_name": "Cardinality Support Rank Profile",
+    "family_id": "cardinality_structure",
+    "canonical_subitem_id": "support_rank_profile_consistency",
+    "intended_facet_id": "support_concentration",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "template_fixed",
+    "source_kind": "deterministic",
+    "realization_mode": "deterministic",
+    "gate_priority": "deterministic",
+    "extended_family": true,
+    "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=nom_4.",
+    "bindings": {
+      "group_col": "nom_4"
+    },
+    "binding_roles": [
+      "group_col"
+    ],
+    "coverage_target_min": "enumerate_all_applicable",
+    "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col} AS value_label, COUNT(*) AS support\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT\n    value_label,\n    support,\n    CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n    ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;",
+    "notes": [
+      "default_facets=support_concentration,value_imbalance_profile",
+      "template_selection_mode=deterministic",
+      "problem_index_within_template=7",
+      "sql_variant_index=1/1"
+    ],
+    "template_selection_mode": "deterministic",
+    "selected_template_rank": 0,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_0c2b064acf27cc64.sql",
+  "usage_summary": {
+    "engine": "template",
+    "input_tokens": 0,
+    "cached_input_tokens": 0,
+    "output_tokens": 0,
+    "total_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "none"
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0c2b064acf27cc64/usage_summary.json

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

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11685, "bytes_utf8": 11685, "lines": 396, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 340, "bytes_utf8": 340, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15910, "cached_input_tokens": 12032, "output_tokens": 388, "reasoning_output_tokens": 288}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c14",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c14_0ce9623600e98e90",
+    "api_calls": 0,
+    "input_tokens": 15910,
+    "cached_input_tokens": 12032,
+    "output_tokens": 388,
+    "total_tokens": 16298,
+    "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": 9264.87,
+    "sql_execution_elapsed_ms_total": 135.91,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:28:50.444206+00:00",
+  "ended_at": "2026-05-19T15:28:59.709105+00:00",
+  "elapsed_ms": 9264.87,
+  "prompt_metrics": {
+    "chars": 11685,
+    "bytes_utf8": 11685,
+    "lines": 396,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 694,
+    "bytes_utf8": 694,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 340,
+      "bytes_utf8": 340,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15910,
+      "cached_input_tokens": 12032,
+      "output_tokens": 388,
+      "reasoning_output_tokens": 288
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,396 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c14
+- dataset_name: Cat In The Dat
+- table_name: c14
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 24 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 300000
+- important_fields:
+- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id.
+- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0.
+- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1.
+- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2.
+- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3.
+- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4.
+- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0.
+- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1.
+- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2.
+- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3.
+- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4.
+- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5.
+- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6.
+- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7.
+- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8.
+- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9.
+- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0.
+- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1.
+- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2.
+- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3.
+- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4.
+- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month.
+- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']]
+- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7']
+- source_url: https://www.kaggle.com/c/cat-in-the-dat
+
+SQLite schema snapshot:
+{
+  "table_name": "c14",
+  "quoted_table_name": "\"c14\"",
+  "row_count": 300000,
+  "columns": [
+    {
+      "name": "id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_0",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_0",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_0",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "id": "0",
+      "bin_0": "0",
+      "bin_1": "0",
+      "bin_2": "0",
+      "bin_3": "T",
+      "bin_4": "Y",
+      "nom_0": "Green",
+      "nom_1": "Triangle",
+      "nom_2": "Snake",
+      "nom_3": "Finland",
+      "nom_4": "Bassoon",
+      "nom_5": "50f116bcf",
+      "nom_6": "3ac1b8814",
+      "nom_7": "68f6ad3e9",
+      "nom_8": "c389000ab",
+      "nom_9": "2f4cb3d51",
+      "ord_0": "2",
+      "ord_1": "Grandmaster",
+      "ord_2": "Cold",
+      "ord_3": "h",
+      "ord_4": "D",
+      "ord_5": "kr",
+      "day": "2",
+      "month": "2",
+      "target": "0"
+    },
+    {
+      "id": "1",
+      "bin_0": "0",
+      "bin_1": "1",
+      "bin_2": "0",
+      "bin_3": "T",
+      "bin_4": "Y",
+      "nom_0": "Green",
+      "nom_1": "Trapezoid",
+      "nom_2": "Hamster",
+      "nom_3": "Russia",
+      "nom_4": "Piano",
+      "nom_5": "b3b4d25d0",
+      "nom_6": "fbcb50fc1",
+      "nom_7": "3b6dd5612",
+      "nom_8": "4cd920251",
+      "nom_9": "f83c56c21",
+      "ord_0": "1",
+      "ord_1": "Grandmaster",
+      "ord_2": "Hot",
+      "ord_3": "a",
+      "ord_4": "A",
+      "ord_5": "bF",
+      "day": "7",
+      "month": "8",
+      "target": "0"
+    },
+    {
+      "id": "2",
+      "bin_0": "0",
+      "bin_1": "0",
+      "bin_2": "0",
+      "bin_3": "F",
+      "bin_4": "Y",
+      "nom_0": "Blue",
+      "nom_1": "Trapezoid",
+      "nom_2": "Lion",
+      "nom_3": "Russia",
+      "nom_4": "Theremin",
+      "nom_5": "3263bdce5",
+      "nom_6": "0922e3cb8",
+      "nom_7": "a6a36f527",
+      "nom_8": "de9c9f684",
+      "nom_9": "ae6800dd0",
+      "ord_0": "1",
+      "ord_1": "Expert",
+      "ord_2": "Lava Hot",
+      "ord_3": "h",
+      "ord_4": "R",
+      "ord_5": "Jc",
+      "day": "7",
+      "month": "2",
+      "target": "0"
+    },
+    {
+      "id": "3",
+      "bin_0": "0",
+      "bin_1": "1",
+      "bin_2": "0",
+      "bin_3": "F",
+      "bin_4": "Y",
+      "nom_0": "Red",
+      "nom_1": "Trapezoid",
+      "nom_2": "Snake",
+      "nom_3": "Canada",
+      "nom_4": "Oboe",
+      "nom_5": "f12246592",
+      "nom_6": "50d7ad46a",
+      "nom_7": "ec69236eb",
+      "nom_8": "4ade6ab69",
+      "nom_9": "8270f0d71",
+      "ord_0": "1",
+      "ord_1": "Grandmaster",
+      "ord_2": "Boiling Hot",
+      "ord_3": "i",
+      "ord_4": "D",
+      "ord_5": "kW",
+      "day": "2",
+      "month": "1",
+      "target": "1"
+    },
+    {
+      "id": "4",
+      "bin_0": "0",
+      "bin_1": "0",
+      "bin_2": "0",
+      "bin_3": "F",
+      "bin_4": "N",
+      "nom_0": "Red",
+      "nom_1": "Trapezoid",
+      "nom_2": "Lion",
+      "nom_3": "Canada",
+      "nom_4": "Oboe",
+      "nom_5": "5b0f5acd5",
+      "nom_6": "1fe17a1fd",
+      "nom_7": "04ddac2be",
+      "nom_8": "cb43ab175",
+      "nom_9": "b164b72a7",
+      "ord_0": "1",
+      "ord_1": "Grandmaster",
+      "ord_2": "Freezing",
+      "ord_3": "a",
+      "ord_4": "R",
+      "ord_5": "qP",
+      "day": "7",
+      "month": "8",
+      "target": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c14",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=bin_1, measure_col=ord_0.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "bin_1",
+    "measure_col": "ord_0",
+    "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": 2.32,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-a200-7570-8c89-6b049a828936"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"bin_1\\\", SUM(CAST(\\\"ord_0\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c14\\\"\\nGROUP BY \\\"bin_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped numeric sum template with \\\"bin_1\\\" as the grouping column and cast \\\"ord_0\\\" from TEXT to INTEGER so SQLite sums it numerically.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15910,"cached_input_tokens":12032,"output_tokens":388,"reasoning_output_tokens":288}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0ce9623600e98e90/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"bin_1\", SUM(CAST(\"ord_0\" AS INTEGER)) AS total_measure\nFROM \"c14\"\nGROUP BY \"bin_1\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped numeric sum template with \"bin_1\" as the grouping column and cast \"ord_0\" from TEXT to INTEGER so SQLite sums it numerically."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11860, "bytes_utf8": 11860, "lines": 396, "estimated_tokens": null}}
+{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1828, "bytes_utf8": 1828, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15944, "cached_input_tokens": 14720, "output_tokens": 3001, "reasoning_output_tokens": 2340}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/session_summary.json

@@ -0,0 +1,25 @@
+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c14",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c14_0e7cbd59ed81486a",
+    "api_calls": 0,
+    "input_tokens": 15944,
+    "cached_input_tokens": 14720,
+    "output_tokens": 3001,
+    "total_tokens": 18945,
+    "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": 42441.53,
+    "sql_execution_elapsed_ms_total": 974.56,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:52:24.456327+00:00",
+  "ended_at": "2026-05-19T15:53:06.897888+00:00",
+  "elapsed_ms": 42441.53,
+  "prompt_metrics": {
+    "chars": 11860,
+    "bytes_utf8": 11860,
+    "lines": 396,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2540,
+    "bytes_utf8": 2540,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 1828,
+      "bytes_utf8": 1828,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15944,
+      "cached_input_tokens": 14720,
+      "output_tokens": 3001,
+      "reasoning_output_tokens": 2340
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,396 @@
+You are generating one SQLite SELECT query for a single-table SQL QA task.
+Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
+Rules:
+- Use only the provided table and columns.
+- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
+- Prefer the planned template and bound roles when provided.
+- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
+- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
+- Quote identifiers with double quotes.
+- Return no markdown and no extra prose.
+
+Dataset context:
+Dataset context for SQL QA:
+- dataset_id: c14
+- dataset_name: Cat In The Dat
+- table_name: c14
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 24 feature columns and target `target`.
+- task_type: classification
+- target_column: target
+- main_row_count: 300000
+- important_fields:
+- id: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for id.
+- bin_0: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 0.
+- bin_1: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 1.
+- bin_2: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 2.
+- bin_3: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 3.
+- bin_4: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for bin 4.
+- nom_0: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 0.
+- nom_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 1.
+- nom_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 2.
+- nom_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 3.
+- nom_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for nom 4.
+- nom_5: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 5.
+- nom_6: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 6.
+- nom_7: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 7.
+- nom_8: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 8.
+- nom_9: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for nom 9.
+- ord_0: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ord 0.
+- ord_1: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 1.
+- ord_2: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 2.
+- ord_3: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 3.
+- ord_4: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ord 4.
+- ord_5: role=feature, type=categorical_nominal. tags=['condition_candidate'] desc=Categorical field for ord 5.
+- day: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for day.
+- month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for month.
+- target: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for target.
+- useful_field_combinations: [['bin_0', 'bin_1', 'target'], ['bin_0', 'ord_0', 'target'], ['bin_0', 'bin_0', 'target']]
+- fields_requiring_caution: ['target', 'nom_5', 'nom_6', 'nom_7']
+- source_url: https://www.kaggle.com/c/cat-in-the-dat
+
+SQLite schema snapshot:
+{
+  "table_name": "c14",
+  "quoted_table_name": "\"c14\"",
+  "row_count": 300000,
+  "columns": [
+    {
+      "name": "id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_0",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "bin_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_0",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_6",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_7",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_8",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "nom_9",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_0",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ord_5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "day",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "target",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "id": "0",
+      "bin_0": "0",
+      "bin_1": "0",
+      "bin_2": "0",
+      "bin_3": "T",
+      "bin_4": "Y",
+      "nom_0": "Green",
+      "nom_1": "Triangle",
+      "nom_2": "Snake",
+      "nom_3": "Finland",
+      "nom_4": "Bassoon",
+      "nom_5": "50f116bcf",
+      "nom_6": "3ac1b8814",
+      "nom_7": "68f6ad3e9",
+      "nom_8": "c389000ab",
+      "nom_9": "2f4cb3d51",
+      "ord_0": "2",
+      "ord_1": "Grandmaster",
+      "ord_2": "Cold",
+      "ord_3": "h",
+      "ord_4": "D",
+      "ord_5": "kr",
+      "day": "2",
+      "month": "2",
+      "target": "0"
+    },
+    {
+      "id": "1",
+      "bin_0": "0",
+      "bin_1": "1",
+      "bin_2": "0",
+      "bin_3": "T",
+      "bin_4": "Y",
+      "nom_0": "Green",
+      "nom_1": "Trapezoid",
+      "nom_2": "Hamster",
+      "nom_3": "Russia",
+      "nom_4": "Piano",
+      "nom_5": "b3b4d25d0",
+      "nom_6": "fbcb50fc1",
+      "nom_7": "3b6dd5612",
+      "nom_8": "4cd920251",
+      "nom_9": "f83c56c21",
+      "ord_0": "1",
+      "ord_1": "Grandmaster",
+      "ord_2": "Hot",
+      "ord_3": "a",
+      "ord_4": "A",
+      "ord_5": "bF",
+      "day": "7",
+      "month": "8",
+      "target": "0"
+    },
+    {
+      "id": "2",
+      "bin_0": "0",
+      "bin_1": "0",
+      "bin_2": "0",
+      "bin_3": "F",
+      "bin_4": "Y",
+      "nom_0": "Blue",
+      "nom_1": "Trapezoid",
+      "nom_2": "Lion",
+      "nom_3": "Russia",
+      "nom_4": "Theremin",
+      "nom_5": "3263bdce5",
+      "nom_6": "0922e3cb8",
+      "nom_7": "a6a36f527",
+      "nom_8": "de9c9f684",
+      "nom_9": "ae6800dd0",
+      "ord_0": "1",
+      "ord_1": "Expert",
+      "ord_2": "Lava Hot",
+      "ord_3": "h",
+      "ord_4": "R",
+      "ord_5": "Jc",
+      "day": "7",
+      "month": "2",
+      "target": "0"
+    },
+    {
+      "id": "3",
+      "bin_0": "0",
+      "bin_1": "1",
+      "bin_2": "0",
+      "bin_3": "F",
+      "bin_4": "Y",
+      "nom_0": "Red",
+      "nom_1": "Trapezoid",
+      "nom_2": "Snake",
+      "nom_3": "Canada",
+      "nom_4": "Oboe",
+      "nom_5": "f12246592",
+      "nom_6": "50d7ad46a",
+      "nom_7": "ec69236eb",
+      "nom_8": "4ade6ab69",
+      "nom_9": "8270f0d71",
+      "ord_0": "1",
+      "ord_1": "Grandmaster",
+      "ord_2": "Boiling Hot",
+      "ord_3": "i",
+      "ord_4": "D",
+      "ord_5": "kW",
+      "day": "2",
+      "month": "1",
+      "target": "1"
+    },
+    {
+      "id": "4",
+      "bin_0": "0",
+      "bin_1": "0",
+      "bin_2": "0",
+      "bin_3": "F",
+      "bin_4": "N",
+      "nom_0": "Red",
+      "nom_1": "Trapezoid",
+      "nom_2": "Lion",
+      "nom_3": "Canada",
+      "nom_4": "Oboe",
+      "nom_5": "5b0f5acd5",
+      "nom_6": "1fe17a1fd",
+      "nom_7": "04ddac2be",
+      "nom_8": "cb43ab175",
+      "nom_9": "b164b72a7",
+      "ord_0": "1",
+      "ord_1": "Grandmaster",
+      "ord_2": "Freezing",
+      "ord_3": "a",
+      "ord_4": "R",
+      "ord_5": "qP",
+      "day": "7",
+      "month": "8",
+      "target": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c14",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=ord_2, measure_col=id.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "ord_2",
+    "measure_col": "id",
+    "top_k": 14,
+    "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": 172611.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\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;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f0-357d-7fe1-96c1-c5047a296ac0"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"ord_2\\\",\\n    CAST(\\\"id\\\" AS REAL) AS \\\"measure\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"ord_2\\\"\\n      ORDER BY CAST(\\\"id\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"ord_2\\\"\\n    ) AS \\\"n\\\"\\n  FROM \\\"c14\\\"\\n  WHERE \\\"id\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n  SELECT DISTINCT\\n    \\\"ord_2\\\",\\n    (1.0 + 0.95 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n    CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"lo\\\",\\n    CASE\\n      WHEN (1.0 + 0.95 * (\\\"n\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER)\\n        THEN CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER)\\n      ELSE CAST((1.0 + 0.95 * (\\\"n\\\" - 1)) AS INTEGER) + 1\\n    END AS \\\"hi\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    \\\"p\\\".\\\"ord_2\\\",\\n    \\\"p\\\".\\\"pos\\\",\\n    \\\"p\\\".\\\"lo\\\",\\n    \\\"p\\\".\\\"hi\\\",\\n    MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo\\\" THEN \\\"o\\\".\\\"measure\\\" END) AS \\\"lo_measure\\\",\\n    MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"hi\\\" THEN \\\"o\\\".\\\"measure\\\" END) AS \\\"hi_measure\\\"\\n  FROM \\\"params\\\" AS \\\"p\\\"\\n  JOIN \\\"ordered\\\" AS \\\"o\\\"\\n    ON \\\"o\\\".\\\"ord_2\\\" IS \\\"p\\\".\\\"ord_2\\\"\\n   AND \\\"o\\\".\\\"rn\\\" IN (\\\"p\\\".\\\"lo\\\", \\\"p\\\".\\\"hi\\\")\\n  GROUP BY\\n    \\\"p\\\".\\\"ord_2\\\",\\n    \\\"p\\\".\\\"pos\\\",\\n    \\\"p\\\".\\\"lo\\\",\\n    \\\"p\\\".\\\"hi\\\"\\n)\\nSELECT\\n  \\\"ord_2\\\",\\n  CASE\\n    WHEN \\\"lo\\\" = \\\"hi\\\" THEN \\\"lo_measure\\\"\\n    ELSE \\\"lo_measure\\\" + (\\\"pos\\\" - \\\"lo\\\") * (\\\"hi_measure\\\" - \\\"lo_measure\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"ord_2\\\" and measure_col=\\\"id\\\". Since SQLite lacks PERCENTILE_CONT, this emulates the 95th percentile with window functions and linear interpolation, casting \\\"id\\\" from TEXT to REAL for numeric ordering.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15944,"cached_input_tokens":14720,"output_tokens":3001,"reasoning_output_tokens":2340}}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0e7cbd59ed81486a/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    \"ord_2\",\n    CAST(\"id\" AS REAL) AS \"measure\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"ord_2\"\n      ORDER BY CAST(\"id\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"ord_2\"\n    ) AS \"n\"\n  FROM \"c14\"\n  WHERE \"id\" IS NOT NULL\n),\n\"params\" AS (\n  SELECT DISTINCT\n    \"ord_2\",\n    (1.0 + 0.95 * (\"n\" - 1)) AS \"pos\",\n    CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) AS \"lo\",\n    CASE\n      WHEN (1.0 + 0.95 * (\"n\" - 1)) = CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER)\n        THEN CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER)\n      ELSE CAST((1.0 + 0.95 * (\"n\" - 1)) AS INTEGER) + 1\n    END AS \"hi\"\n  FROM \"ordered\"\n),\n\"picked\" AS (\n  SELECT\n    \"p\".\"ord_2\",\n    \"p\".\"pos\",\n    \"p\".\"lo\",\n    \"p\".\"hi\",\n    MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"lo\" THEN \"o\".\"measure\" END) AS \"lo_measure\",\n    MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"hi\" THEN \"o\".\"measure\" END) AS \"hi_measure\"\n  FROM \"params\" AS \"p\"\n  JOIN \"ordered\" AS \"o\"\n    ON \"o\".\"ord_2\" IS \"p\".\"ord_2\"\n   AND \"o\".\"rn\" IN (\"p\".\"lo\", \"p\".\"hi\")\n  GROUP BY\n    \"p\".\"ord_2\",\n    \"p\".\"pos\",\n    \"p\".\"lo\",\n    \"p\".\"hi\"\n)\nSELECT\n  \"ord_2\",\n  CASE\n    WHEN \"lo\" = \"hi\" THEN \"lo_measure\"\n    ELSE \"lo_measure\" + (\"pos\" - \"lo\") * (\"hi_measure\" - \"lo_measure\")\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Uses the planned template with group_col=\"ord_2\" and measure_col=\"id\". Since SQLite lacks PERCENTILE_CONT, this emulates the 95th percentile with window functions and linear interpolation, casting \"id\" from TEXT to REAL for numeric ordering."}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/run_manifest.json

@@ -0,0 +1,72 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c14",
+  "started_at": "2026-05-19T16:06:58.457451+00:00",
+  "ended_at": "2026-05-19T16:07:05.317906+00:00",
+  "status": "failed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c14_0fcdf90112f27537",
+    "problem_id": "v2p_c14_2ed6759a63351ba1",
+    "dataset_id": "c14",
+    "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=ord_3, condition_col=day.",
+    "bindings": {
+      "group_col": "ord_3",
+      "condition_col": "day",
+      "condition_value": "2",
+      "positive_value": "1",
+      "negative_value": "2",
+      "top_k": 18,
+      "top_n": 7,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 9.0,
+      "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=2/2",
+      "binding_index=103"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 9,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "error": "AI CLI command failed with exit code 1: "
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_0fcdf90112f27537/trace.jsonl

@@ -0,0 +1,2 @@
+{"timestamp": "2026-05-19T16:07:01.521252+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": 3040.43, "started_at": "2026-05-19T16:06:58.480065+00:00", "ended_at": "2026-05-19T16:07:01.520528+00:00", "prompt_metrics": {"chars": 11921, "bytes_utf8": 11921, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-8baf-76f3-b641-af32d03b54c6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
+{"timestamp": "2026-05-19T16:07:05.317817+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": 2794.98, "started_at": "2026-05-19T16:07:02.522102+00:00", "ended_at": "2026-05-19T16:07:05.317115+00:00", "prompt_metrics": {"chars": 11921, "bytes_utf8": 11921, "lines": 399, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-9b8a-7da0-934d-8b2f9a49d4dd\"}\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/c14/artifacts/v2q_c14_1067b4904090010b/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=ord_0, measure_col=id.
+Result preview: [{"ord_0": "3", "nom_9": "a67d22f37", "total_measure": 2737068, "share_within_group": 0.04703740330354198}, {"ord_0": "3", "nom_9": "98c24a69a", "total_measure": 2537673, "share_within_group": 0.04361073541231321}, {"ord_0": "3", "nom_9": "ffac03704", "total_measure": 2515477, "share_within_group": 0.04322928993718237}, {"ord_0": "3", "nom_9": "c307a2484", "total_measure": 2493816, "share_within_group": 0.04285703861096102}, {"ord_0": "2", "nom_9": "263bed53b", "total_measure": 4081754, "share_within_group": 0.04099905885186952}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/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: c14
+-- 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_c14_1067b4904090010b
+-- problem_id: v2p_c14_67caa38caaf4b050
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "ord_0",
+  "nom_9",
+  SUM(CAST("id" AS INTEGER)) AS total_measure,
+  SUM(CAST("id" AS INTEGER)) * 100.0 / SUM(SUM(CAST("id" AS INTEGER))) OVER (PARTITION BY "ord_0") AS share_within_group
+FROM "c14"
+GROUP BY "ord_0", "nom_9"
+ORDER BY share_within_group DESC
+LIMIT 18;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/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  \"ord_0\",\n  \"nom_9\",\n  SUM(CAST(\"id\" AS INTEGER)) AS total_measure,\n  SUM(CAST(\"id\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"id\" AS INTEGER))) OVER (PARTITION BY \"ord_0\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_0\", \"nom_9\"\nORDER BY share_within_group DESC\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ord_0\\\",\\n  \\\"nom_9\\\",\\n  SUM(CAST(\\\"id\\\" AS INTEGER)) AS total_measure,\\n  SUM(CAST(\\\"id\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS INTEGER))) OVER (PARTITION BY \\\"ord_0\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\", \"columns\": [\"ord_0\", \"nom_9\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_0\": \"3\", \"nom_9\": \"a67d22f37\", \"total_measure\": 2737068, \"share_within_group\": 0.04703740330354198}, {\"ord_0\": \"3\", \"nom_9\": \"98c24a69a\", \"total_measure\": 2537673, \"share_within_group\": 0.04361073541231321}, {\"ord_0\": \"3\", \"nom_9\": \"ffac03704\", \"total_measure\": 2515477, \"share_within_group\": 0.04322928993718237}, {\"ord_0\": \"3\", \"nom_9\": \"c307a2484\", \"total_measure\": 2493816, \"share_within_group\": 0.04285703861096102}, {\"ord_0\": \"2\", \"nom_9\": \"263bed53b\", \"total_measure\": 4081754, \"share_within_group\": 0.04099905885186952}, {\"ord_0\": \"3\", \"nom_9\": \"a6fb9d55e\", \"total_measure\": 2330189, \"share_within_group\": 0.040045055426637985}, {\"ord_0\": \"3\", \"nom_9\": \"86c140ea6\", \"total_measure\": 2321013, \"share_within_group\": 0.039887362883846464}, {\"ord_0\": \"3\", \"nom_9\": \"191fb13ac\", \"total_measure\": 2308439, \"share_within_group\": 0.039671274606485896}, {\"ord_0\": \"3\", \"nom_9\": \"7e3136a87\", \"total_measure\": 2307510, \"share_within_group\": 0.03965530943950101}, {\"ord_0\": \"2\", \"nom_9\": \"28248c941\", \"total_measure\": 3806201, \"share_within_group\": 0.03823127479045641}, {\"ord_0\": \"3\", \"nom_9\": \"667b8da69\", \"total_measure\": 2181106, \"share_within_group\": 0.037483015610052524}, {\"ord_0\": \"3\", \"nom_9\": \"508fd7e0b\", \"total_measure\": 2179835, \"share_within_group\": 0.037461173061895586}, {\"ord_0\": \"3\", \"nom_9\": \"38039d3a8\", \"total_measure\": 2175024, \"share_within_group\": 0.037378494463010455}, {\"ord_0\": \"3\", \"nom_9\": \"f27970f59\", \"total_measure\": 2171282, \"share_within_group\": 0.03731418697661923}, {\"ord_0\": \"3\", \"nom_9\": \"abfdb0ce6\", \"total_measure\": 2139890, \"share_within_group\": 0.03677470525219558}, {\"ord_0\": \"3\", \"nom_9\": \"b043b3d84\", \"total_measure\": 2135894, \"share_within_group\": 0.03670603269323798}, {\"ord_0\": \"3\", \"nom_9\": \"b2afd76a3\", \"total_measure\": 2124640, \"share_within_group\": 0.036512629044962504}, {\"ord_0\": \"3\", \"nom_9\": \"46ce8acaf\", \"total_measure\": 2123392, \"share_within_group\": 0.03649118175928205}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 405.91}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c14",
+  "started_at": "2026-05-19T15:36:50.347178+00:00",
+  "ended_at": "2026-05-19T15:37:04.077081+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c14_1067b4904090010b",
+    "problem_id": "v2p_c14_67caa38caaf4b050",
+    "dataset_id": "c14",
+    "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=ord_0, measure_col=id.",
+    "bindings": {
+      "group_col": "ord_0",
+      "measure_col": "id",
+      "item_col": "nom_9",
+      "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": 150351.84,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "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=5",
+      "sql_variant_index=2/2",
+      "binding_index=28"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "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/c14/sql/v2q_c14_1067b4904090010b.sql",
+  "usage_summary": {
+    "dataset_id": "c14",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c14_1067b4904090010b",
+    "api_calls": 0,
+    "input_tokens": 16025,
+    "cached_input_tokens": 14720,
+    "output_tokens": 695,
+    "total_tokens": 16720,
+    "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": 13305.46,
+    "sql_execution_elapsed_ms_total": 405.91,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:37:03.669594+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": 13305.46, "started_at": "2026-05-19T15:36:50.363064+00:00", "ended_at": "2026-05-19T15:37:03.668553+00:00", "prompt_metrics": {"chars": 12086, "bytes_utf8": 12086, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 579, "bytes_utf8": 579, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 14720, "output_tokens": 695, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ord_0\\\",\\n  \\\"nom_9\\\",\\n  SUM(CAST(\\\"id\\\" AS INTEGER)) AS total_measure,\\n  SUM(CAST(\\\"id\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS INTEGER))) OVER (PARTITION BY \\\"ord_0\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_0\\\", \\\"nom_9\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\",\"notes\":\"Used the planned template with group_col=\\\"ord_0\\\", item_col=\\\"nom_9\\\", and measure_col=\\\"id\\\". Cast \\\"id\\\" to INTEGER because it is stored as TEXT in the SQLite schema but represents numeric identifier values.\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c14",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c14_1067b4904090010b",
+  "api_calls": 0,
+  "input_tokens": 16025,
+  "cached_input_tokens": 14720,
+  "output_tokens": 695,
+  "total_tokens": 16720,
+  "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": 13305.46,
+  "sql_execution_elapsed_ms_total": 405.91,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_1067b4904090010b/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/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=ord_4, measure_col=id.
+Result preview: [{"ord_4": "M", "nom_5": "72f8028dc", "total_measure": 938468, "share_within_group": 4.00140465391381}, {"ord_4": "M", "nom_5": "06eeaf0aa", "total_measure": 889675, "share_within_group": 3.7933628908718986}, {"ord_4": "M", "nom_5": "475e79160", "total_measure": 810905, "share_within_group": 3.4575063197487585}, {"ord_4": "M", "nom_5": "778fdbe56", "total_measure": 745814, "share_within_group": 3.1799737556891383}, {"ord_4": "M", "nom_5": "83b38aa6b", "total_measure": 612419, "share_within_group": 2.611209158698263}] Results were truncated.

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/generated_sql.sql

@@ -0,0 +1,21 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c14
+-- 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_c14_119b90b4149dcde9
+-- problem_id: v2p_c14_bad9dff471961df9
+-- realization_mode: agent
+-- source_kind: agent
+SELECT
+  "ord_4",
+  "nom_5",
+  SUM(CAST("id" AS NUMERIC)) AS total_measure,
+  SUM(CAST("id" AS NUMERIC)) * 100.0 / SUM(SUM(CAST("id" AS NUMERIC))) OVER (PARTITION BY "ord_4") AS share_within_group
+FROM "c14"
+GROUP BY "ord_4", "nom_5"
+ORDER BY share_within_group DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/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  \"ord_4\",\n  \"nom_5\",\n  SUM(CAST(\"id\" AS NUMERIC)) AS total_measure,\n  SUM(CAST(\"id\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\"id\" AS NUMERIC))) OVER (PARTITION BY \"ord_4\") AS share_within_group\nFROM \"c14\"\nGROUP BY \"ord_4\", \"nom_5\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ord_4\\\",\\n  \\\"nom_5\\\",\\n  SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure,\\n  SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"ord_4\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"ord_4\", \"nom_5\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"ord_4\": \"M\", \"nom_5\": \"72f8028dc\", \"total_measure\": 938468, \"share_within_group\": 4.00140465391381}, {\"ord_4\": \"M\", \"nom_5\": \"06eeaf0aa\", \"total_measure\": 889675, \"share_within_group\": 3.7933628908718986}, {\"ord_4\": \"M\", \"nom_5\": \"475e79160\", \"total_measure\": 810905, \"share_within_group\": 3.4575063197487585}, {\"ord_4\": \"M\", \"nom_5\": \"778fdbe56\", \"total_measure\": 745814, \"share_within_group\": 3.1799737556891383}, {\"ord_4\": \"M\", \"nom_5\": \"83b38aa6b\", \"total_measure\": 612419, \"share_within_group\": 2.611209158698263}, {\"ord_4\": \"M\", \"nom_5\": \"640e1fdd5\", \"total_measure\": 499856, \"share_within_group\": 2.1312672618424298}, {\"ord_4\": \"M\", \"nom_5\": \"05950689f\", \"total_measure\": 485055, \"share_within_group\": 2.068159313268181}, {\"ord_4\": \"M\", \"nom_5\": \"eb69430d6\", \"total_measure\": 472378, \"share_within_group\": 2.0141075962169173}, {\"ord_4\": \"M\", \"nom_5\": \"de04b8750\", \"total_measure\": 470310, \"share_within_group\": 2.0052901353932193}, {\"ord_4\": \"M\", \"nom_5\": \"4464569ee\", \"total_measure\": 468551, \"share_within_group\": 1.997790177178092}, {\"ord_4\": \"M\", \"nom_5\": \"e6f45aa26\", \"total_measure\": 461319, \"share_within_group\": 1.9669546468700743}, {\"ord_4\": \"M\", \"nom_5\": \"b97f51ac4\", \"total_measure\": 404269, \"share_within_group\": 1.723706996970682}, {\"ord_4\": \"M\", \"nom_5\": \"a5c276589\", \"total_measure\": 399476, \"share_within_group\": 1.7032707833691432}, {\"ord_4\": \"M\", \"nom_5\": \"5a466e166\", \"total_measure\": 399015, \"share_within_group\": 1.7013051888625066}, {\"ord_4\": \"M\", \"nom_5\": \"075ceb58b\", \"total_measure\": 386820, \"share_within_group\": 1.6493086053301125}, {\"ord_4\": \"M\", \"nom_5\": \"91bde92fa\", \"total_measure\": 369188, \"share_within_group\": 1.5741299451543704}, {\"ord_4\": \"M\", \"nom_5\": \"be5592604\", \"total_measure\": 366722, \"share_within_group\": 1.563615506860735}, {\"ord_4\": \"N\", \"nom_5\": \"66669a44f\", \"total_measure\": 4710862, \"share_within_group\": 1.4461621113129002}, {\"ord_4\": \"M\", \"nom_5\": \"20b10a832\", \"total_measure\": 330902, \"share_within_group\": 1.4108875345663225}, {\"ord_4\": \"M\", \"nom_5\": \"4e28ceffa\", \"total_measure\": 327501, \"share_within_group\": 1.3963864783470792}, {\"ord_4\": \"C\", \"nom_5\": \"6c90f81cd\", \"total_measure\": 7177774, \"share_within_group\": 1.3371224979003693}, {\"ord_4\": \"N\", \"nom_5\": \"30a530eab\", \"total_measure\": 4319174, \"share_within_group\": 1.3259199252637384}, {\"ord_4\": \"M\", \"nom_5\": \"66669a44f\", \"total_measure\": 307595, \"share_within_group\": 1.3115120222752596}, {\"ord_4\": \"M\", \"nom_5\": \"c2843dc45\", \"total_measure\": 298895, \"share_within_group\": 1.2744172886359133}, {\"ord_4\": \"M\", \"nom_5\": \"527ded12a\", \"total_measure\": 292098, \"share_within_group\": 1.2454364950098629}, {\"ord_4\": \"N\", \"nom_5\": \"5a94fc1d9\", \"total_measure\": 4001170, \"share_within_group\": 1.22829759286556}, {\"ord_4\": \"M\", \"nom_5\": \"88707c9ab\", \"total_measure\": 283202, \"share_within_group\": 1.2075060639230095}, {\"ord_4\": \"N\", \"nom_5\": \"4e28ceffa\", \"total_measure\": 3926962, \"share_within_group\": 1.2055168792814415}, {\"ord_4\": \"N\", \"nom_5\": \"b97f51ac4\", \"total_measure\": 3921565, \"share_within_group\": 1.2038600833670725}, {\"ord_4\": \"M\", \"nom_5\": \"a93b89fc9\", \"total_measure\": 277657, \"share_within_group\": 1.1838635009310352}, {\"ord_4\": \"N\", \"nom_5\": \"416a8f3ab\", \"total_measure\": 3851597, \"share_within_group\": 1.182380984509084}, {\"ord_4\": \"N\", \"nom_5\": \"2ff007c26\", \"total_measure\": 3846693, \"share_within_group\": 1.1808755320050883}, {\"ord_4\": \"X\", \"nom_5\": \"5b1a9f841\", \"total_measure\": 10980235, \"share_within_group\": 1.172914089228431}, {\"ord_4\": \"M\", \"nom_5\": \"ca82ad111\", \"total_measure\": 274002, \"share_within_group\": 1.1682794490400223}, {\"ord_4\": \"D\", \"nom_5\": \"6c90f81cd\", \"total_measure\": 7001609, \"share_within_group\": 1.1635584833221457}, {\"ord_4\": \"M\", \"nom_5\": \"0de5598a9\", \"total_measure\": 269851, \"share_within_group\": 1.150580570955318}, {\"ord_4\": \"U\", \"nom_5\": \"50f116bcf\", \"total_measure\": 21968676, \"share_within_group\": 1.1502429431493169}, {\"ord_4\": \"M\", \"nom_5\": \"037bd73d8\", \"total_measure\": 269487, \"share_within_group\": 1.1490285614099478}, {\"ord_4\": \"Z\", \"nom_5\": \"5a466e166\", \"total_measure\": 24399678, \"share_within_group\": 1.1471145009377008}, {\"ord_4\": \"Z\", \"nom_5\": \"f7821e391\", \"total_measure\": 24159352, \"share_within_group\": 1.1358159321798529}, {\"ord_4\": \"C\", \"nom_5\": \"115a252ba\", \"total_measure\": 6081980, \"share_within_group\": 1.1329908534010806}, {\"ord_4\": \"E\", \"nom_5\": \"472efea17\", \"total_measure\": 19278103, \"share_within_group\": 1.1327982579928748}, {\"ord_4\": \"M\", \"nom_5\": \"63f642dd9\", \"total_measure\": 265004, \"share_within_group\": 1.1299141141794662}, {\"ord_4\": \"M\", \"nom_5\": \"116f7e3e2\", \"total_measure\": 264577, \"share_within_group\": 1.1280934875973971}, {\"ord_4\": \"B\", \"nom_5\": \"4845cc770\", \"total_measure\": 10349730, \"share_within_group\": 1.1270881494331275}, {\"ord_4\": \"Y\", \"nom_5\": \"472efea17\", \"total_measure\": 14293605, \"share_within_group\": 1.1270410890623188}, {\"ord_4\": \"M\", \"nom_5\": \"5d18641ff\", \"total_measure\": 264004, \"share_within_group\": 1.125650351692185}, {\"ord_4\": \"T\", \"nom_5\": \"6c90f81cd\", \"total_measure\": 23960690, \"share_within_group\": 1.1210343708971837}, {\"ord_4\": \"O\", \"nom_5\": \"4845cc770\", \"total_measure\": 9647220, \"share_within_group\": 1.114463954709957}, {\"ord_4\": \"G\", \"nom_5\": \"472efea17\", \"total_measure\": 31406841, \"share_within_group\": 1.1128437400625035}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 323.35}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/run_manifest.json

@@ -0,0 +1,91 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c14",
+  "started_at": "2026-05-19T15:38:46.184862+00:00",
+  "ended_at": "2026-05-19T15:39:02.433003+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c14_119b90b4149dcde9",
+    "problem_id": "v2p_c14_bad9dff471961df9",
+    "dataset_id": "c14",
+    "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=ord_4, measure_col=id.",
+    "bindings": {
+      "group_col": "ord_4",
+      "measure_col": "id",
+      "item_col": "nom_5",
+      "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": 150351.84,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "notes": [
+      "default_facets=pairwise_conditional_dependency",
+      "template_selection_mode=rule",
+      "problem_index_within_template=9",
+      "sql_variant_index=2/2",
+      "binding_index=32"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 3,
+    "problem_index_within_template": 9,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/sql/v2q_c14_119b90b4149dcde9.sql",
+  "usage_summary": {
+    "dataset_id": "c14",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c14_119b90b4149dcde9",
+    "api_calls": 0,
+    "input_tokens": 16025,
+    "cached_input_tokens": 14720,
+    "output_tokens": 694,
+    "total_tokens": 16719,
+    "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": 15903.89,
+    "sql_execution_elapsed_ms_total": 323.35,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:39:02.106408+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": 15903.89, "started_at": "2026-05-19T15:38:46.201752+00:00", "ended_at": "2026-05-19T15:39:02.105664+00:00", "prompt_metrics": {"chars": 12086, "bytes_utf8": 12086, "lines": 398, "estimated_tokens": null}, "response_metrics": {"chars": 549, "bytes_utf8": 549, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16025, "cached_input_tokens": 14720, "output_tokens": 694, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ord_4\\\",\\n  \\\"nom_5\\\",\\n  SUM(CAST(\\\"id\\\" AS NUMERIC)) AS total_measure,\\n  SUM(CAST(\\\"id\\\" AS NUMERIC)) * 100.0 / SUM(SUM(CAST(\\\"id\\\" AS NUMERIC))) OVER (PARTITION BY \\\"ord_4\\\") AS share_within_group\\nFROM \\\"c14\\\"\\nGROUP BY \\\"ord_4\\\", \\\"nom_5\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"ord_4\\\", item_col=\\\"nom_5\\\", and measure_col=\\\"id\\\". Cast \\\"id\\\" to NUMERIC because it is stored as TEXT in the SQLite schema but used in SUM().\"}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c14",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c14_119b90b4149dcde9",
+  "api_calls": 0,
+  "input_tokens": 16025,
+  "cached_input_tokens": 14720,
+  "output_tokens": 694,
+  "total_tokens": 16719,
+  "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": 15903.89,
+  "sql_execution_elapsed_ms_total": 323.35,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_119b90b4149dcde9/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/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=ord_3, measure_col=ord_0.
+Result preview: [{"ord_3": "a", "percentile_measure": 3.0}, {"ord_3": "b", "percentile_measure": 3.0}, {"ord_3": "c", "percentile_measure": 3.0}, {"ord_3": "d", "percentile_measure": 3.0}, {"ord_3": "e", "percentile_measure": 3.0}]

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/generated_sql.sql

@@ -0,0 +1,65 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_cli_20260502_081223_d
+-- sql_source_dataset_id: c14
+-- 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_c14_11fe2ec9113dbbdb
+-- problem_id: v2p_c14_dbeb679bdab84e33
+-- realization_mode: agent
+-- source_kind: agent
+WITH "ordered" AS (
+  SELECT
+    "ord_3" AS "group_col",
+    CAST("ord_0" AS REAL) AS "measure",
+    ROW_NUMBER() OVER (
+      PARTITION BY "ord_3"
+      ORDER BY CAST("ord_0" AS REAL)
+    ) AS "rn"
+  FROM "c14"
+  WHERE "ord_3" IS NOT NULL
+    AND "ord_0" IS NOT NULL
+),
+"params" AS (
+  SELECT
+    "group_col",
+    COUNT(*) AS "n",
+    1.0 + 0.9 * (COUNT(*) - 1) AS "pos",
+    CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS "lower_rn",
+    CASE
+      WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)
+        THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1
+      ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)
+    END AS "upper_rn"
+  FROM "ordered"
+  GROUP BY "group_col"
+  HAVING COUNT(*) >= 5
+),
+"bounds" AS (
+  SELECT
+    p."group_col",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn",
+    MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure" END) AS "lower_val",
+    MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure" END) AS "upper_val"
+  FROM "params" AS p
+  JOIN "ordered" AS o
+    ON o."group_col" = p."group_col"
+  GROUP BY
+    p."group_col",
+    p."pos",
+    p."lower_rn",
+    p."upper_rn"
+)
+SELECT
+  "group_col" AS "ord_3",
+  CASE
+    WHEN "lower_rn" = "upper_rn" THEN "lower_val"
+    ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val")
+  END AS "percentile_measure"
+FROM "bounds"
+ORDER BY "percentile_measure" DESC;

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    \"ord_3\" AS \"group_col\",\n    CAST(\"ord_0\" AS REAL) AS \"measure\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"ord_3\"\n      ORDER BY CAST(\"ord_0\" AS REAL)\n    ) AS \"rn\"\n  FROM \"c14\"\n  WHERE \"ord_3\" IS NOT NULL\n    AND \"ord_0\" IS NOT NULL\n),\n\"params\" AS (\n  SELECT\n    \"group_col\",\n    COUNT(*) AS \"n\",\n    1.0 + 0.9 * (COUNT(*) - 1) AS \"pos\",\n    CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS \"lower_rn\",\n    CASE\n      WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\n        THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1\n      ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\n    END AS \"upper_rn\"\n  FROM \"ordered\"\n  GROUP BY \"group_col\"\n  HAVING COUNT(*) >= 5\n),\n\"bounds\" AS (\n  SELECT\n    p.\"group_col\",\n    p.\"pos\",\n    p.\"lower_rn\",\n    p.\"upper_rn\",\n    MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END) AS \"lower_val\",\n    MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure\" END) AS \"upper_val\"\n  FROM \"params\" AS p\n  JOIN \"ordered\" AS o\n    ON o.\"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 \"ord_3\",\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 \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"ord_3\\\" AS \\\"group_col\\\",\\n    CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"ord_3\\\"\\n      ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n    ) AS \\\"rn\\\"\\n  FROM \\\"c14\\\"\\n  WHERE \\\"ord_3\\\" IS NOT NULL\\n    AND \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    COUNT(*) AS \\\"n\\\",\\n    1.0 + 0.9 * (COUNT(*) - 1) AS \\\"pos\\\",\\n    CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n    CASE\\n      WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n        THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1\\n      ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ordered\\\"\\n  GROUP BY \\\"group_col\\\"\\n  HAVING COUNT(*) >= 5\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    p.\\\"group_col\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"lower_val\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"upper_val\\\"\\n  FROM \\\"params\\\" AS p\\n  JOIN \\\"ordered\\\" AS o\\n    ON o.\\\"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 \\\"ord_3\\\",\\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 \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"ord_3\", \"percentile_measure\"], \"rows\": [{\"ord_3\": \"a\", \"percentile_measure\": 3.0}, {\"ord_3\": \"b\", \"percentile_measure\": 3.0}, {\"ord_3\": \"c\", \"percentile_measure\": 3.0}, {\"ord_3\": \"d\", \"percentile_measure\": 3.0}, {\"ord_3\": \"e\", \"percentile_measure\": 3.0}, {\"ord_3\": \"f\", \"percentile_measure\": 3.0}, {\"ord_3\": \"g\", \"percentile_measure\": 3.0}, {\"ord_3\": \"h\", \"percentile_measure\": 3.0}, {\"ord_3\": \"i\", \"percentile_measure\": 3.0}, {\"ord_3\": \"j\", \"percentile_measure\": 3.0}, {\"ord_3\": \"k\", \"percentile_measure\": 3.0}, {\"ord_3\": \"l\", \"percentile_measure\": 3.0}, {\"ord_3\": \"m\", \"percentile_measure\": 3.0}, {\"ord_3\": \"n\", \"percentile_measure\": 3.0}, {\"ord_3\": \"o\", \"percentile_measure\": 3.0}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 909.81}"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_cli_20260502_081223_d",
+  "dataset_id": "c14",
+  "started_at": "2026-05-19T15:53:34.392939+00:00",
+  "ended_at": "2026-05-19T15:54:32.302038+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c14_11fe2ec9113dbbdb",
+    "problem_id": "v2p_c14_dbeb679bdab84e33",
+    "dataset_id": "c14",
+    "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=ord_3, measure_col=ord_0.",
+    "bindings": {
+      "group_col": "ord_3",
+      "measure_col": "ord_0",
+      "top_k": 10,
+      "top_n": 4,
+      "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": 2.5,
+      "time_grain": "month",
+      "lookback_rows": 3,
+      "current_period_start": "'2024-01-01'",
+      "current_period_end": "'2024-04-01'",
+      "previous_period_start": "'2023-10-01'",
+      "previous_period_end": "'2024-01-01'",
+      "drift_ratio_threshold": 0.8
+    },
+    "binding_roles": [
+      "group_col",
+      "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=1/2",
+      "binding_index=85"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 8,
+    "problem_index_within_template": 2,
+    "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/c14/sql/v2q_c14_11fe2ec9113dbbdb.sql",
+  "usage_summary": {
+    "dataset_id": "c14",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c14_11fe2ec9113dbbdb",
+    "api_calls": 0,
+    "input_tokens": 15948,
+    "cached_input_tokens": 14720,
+    "output_tokens": 4035,
+    "total_tokens": 19983,
+    "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": 56980.11,
+    "sql_execution_elapsed_ms_total": 909.81,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-19T15:54:31.389847+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": 56980.11, "started_at": "2026-05-19T15:53:34.408854+00:00", "ended_at": "2026-05-19T15:54:31.389028+00:00", "prompt_metrics": {"chars": 11859, "bytes_utf8": 11859, "lines": 396, "estimated_tokens": null}, "response_metrics": {"chars": 1785, "bytes_utf8": 1785, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15948, "cached_input_tokens": 14720, "output_tokens": 4035, "reasoning_output_tokens": 3401}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"ord_3\\\" AS \\\"group_col\\\",\\n    CAST(\\\"ord_0\\\" AS REAL) AS \\\"measure\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"ord_3\\\"\\n      ORDER BY CAST(\\\"ord_0\\\" AS REAL)\\n    ) AS \\\"rn\\\"\\n  FROM \\\"c14\\\"\\n  WHERE \\\"ord_3\\\" IS NOT NULL\\n    AND \\\"ord_0\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    COUNT(*) AS \\\"n\\\",\\n    1.0 + 0.9 * (COUNT(*) - 1) AS \\\"pos\\\",\\n    CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n    CASE\\n      WHEN (1.0 + 0.9 * (COUNT(*) - 1)) > CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n        THEN CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER) + 1\\n      ELSE CAST(1.0 + 0.9 * (COUNT(*) - 1) AS INTEGER)\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"ordered\\\"\\n  GROUP BY \\\"group_col\\\"\\n  HAVING COUNT(*) >= 5\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    p.\\\"group_col\\\",\\n    p.\\\"pos\\\",\\n    p.\\\"lower_rn\\\",\\n    p.\\\"upper_rn\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_"}

Query/sql/v2/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c14",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c14_11fe2ec9113dbbdb",
+  "api_calls": 0,
+  "input_tokens": 15948,
+  "cached_input_tokens": 14720,
+  "output_tokens": 4035,
+  "total_tokens": 19983,
+  "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": 56980.11,
+  "sql_execution_elapsed_ms_total": 909.81,
+  "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/c14/artifacts/v2q_c14_11fe2ec9113dbbdb/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}