Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_05ba2cf205f2eb99/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6926, "bytes_utf8": 6926, "lines": 228, "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": 595, "bytes_utf8": 595, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14285, "cached_input_tokens": 13696, "output_tokens": 450, "reasoning_output_tokens": 284}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_05ba2cf205f2eb99/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": "c10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c10_05ba2cf205f2eb99",
+    "api_calls": 0,
+    "input_tokens": 14285,
+    "cached_input_tokens": 13696,
+    "output_tokens": 450,
+    "total_tokens": 14735,
+    "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": 14414.76,
+    "sql_execution_elapsed_ms_total": 548.41,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_05ba2cf205f2eb99/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_05ba2cf205f2eb99/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": "2026-05-19T15:49:24.109747+00:00",
+  "ended_at": "2026-05-19T15:49:38.524532+00:00",
+  "elapsed_ms": 14414.76,
+  "prompt_metrics": {
+    "chars": 6926,
+    "bytes_utf8": 6926,
+    "lines": 228,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 962,
+    "bytes_utf8": 962,
+    "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": 595,
+      "bytes_utf8": 595,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14285,
+      "cached_input_tokens": 13696,
+      "output_tokens": 450,
+      "reasoning_output_tokens": 284
+    }
+  },
+  "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_a/c10/artifacts/v2q_c10_05ba2cf205f2eb99/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,228 @@
+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: c10
+- dataset_name: Poker Hand
+- table_name: c10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 1025010
+- important_fields:
+- s1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s1.
+- c1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c1.
+- s2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s2.
+- c2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c2.
+- s3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s3.
+- c3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c3.
+- s4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s4.
+- c4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c4.
+- s5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s5.
+- c5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c5.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['s1', 'c1', 'class'], ['s1', 's1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/158/poker+hand
+
+SQLite schema snapshot:
+{
+  "table_name": "c10",
+  "quoted_table_name": "\"c10\"",
+  "row_count": 1025010,
+  "columns": [
+    {
+      "name": "s1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "s1": "1",
+      "c1": "1",
+      "s2": "1",
+      "c2": "13",
+      "s3": "2",
+      "c3": "4",
+      "s4": "2",
+      "c4": "3",
+      "s5": "1",
+      "c5": "12",
+      "class": "0"
+    },
+    {
+      "s1": "3",
+      "c1": "12",
+      "s2": "3",
+      "c2": "2",
+      "s3": "3",
+      "c3": "11",
+      "s4": "4",
+      "c4": "5",
+      "s5": "2",
+      "c5": "5",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "9",
+      "s2": "4",
+      "c2": "6",
+      "s3": "1",
+      "c3": "4",
+      "s4": "3",
+      "c4": "2",
+      "s5": "3",
+      "c5": "9",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "4",
+      "s2": "3",
+      "c2": "13",
+      "s3": "2",
+      "c3": "13",
+      "s4": "2",
+      "c4": "1",
+      "s5": "3",
+      "c5": "6",
+      "class": "1"
+    },
+    {
+      "s1": "3",
+      "c1": "10",
+      "s2": "2",
+      "c2": "7",
+      "s3": "1",
+      "c3": "2",
+      "s4": "2",
+      "c4": "11",
+      "s5": "4",
+      "c5": "9",
+      "class": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c10",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=c5, measure_col=c3.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "c5",
+    "measure_col": "c3",
+    "top_k": 10,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 10.0,
+    "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": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_05ba2cf205f2eb99/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ed-7529-7701-b820-f5263f692773"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"c5\\\", SUM(CAST(\\\"c3\\\" AS REAL)) AS group_value\\n    FROM \\\"c10\\\"\\n    GROUP BY \\\"c5\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"c5\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required Relative-to-Total Extreme Threshold template with group_col=\\\"c5\\\" and measure_col=\\\"c3\\\". CAST is applied because the SQLite schema stores these fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14285,"cached_input_tokens":13696,"output_tokens":450,"reasoning_output_tokens":284}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_05ba2cf205f2eb99/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"c5\", SUM(CAST(\"c3\" AS REAL)) AS group_value\n    FROM \"c10\"\n    GROUP BY \"c5\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"c5\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the required Relative-to-Total Extreme Threshold template with group_col=\"c5\" and measure_col=\"c3\". CAST is applied because the SQLite schema stores these fields as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0653c9fa08e673b7/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6614, "bytes_utf8": 6614, "lines": 231, "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": 350, "bytes_utf8": 350, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14209, "cached_input_tokens": 13696, "output_tokens": 227, "reasoning_output_tokens": 122}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0653c9fa08e673b7/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": "c10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c10_0653c9fa08e673b7",
+    "api_calls": 0,
+    "input_tokens": 14209,
+    "cached_input_tokens": 13696,
+    "output_tokens": 227,
+    "total_tokens": 14436,
+    "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": 8095.46,
+    "sql_execution_elapsed_ms_total": 540.69,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0653c9fa08e673b7/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0653c9fa08e673b7/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": "2026-05-19T16:04:27.127634+00:00",
+  "ended_at": "2026-05-19T16:04:35.223127+00:00",
+  "elapsed_ms": 8095.46,
+  "prompt_metrics": {
+    "chars": 6614,
+    "bytes_utf8": 6614,
+    "lines": 231,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 705,
+    "bytes_utf8": 705,
+    "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": 350,
+      "bytes_utf8": 350,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14209,
+      "cached_input_tokens": 13696,
+      "output_tokens": 227,
+      "reasoning_output_tokens": 122
+    }
+  },
+  "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_a/c10/artifacts/v2q_c10_0653c9fa08e673b7/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,231 @@
+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: c10
+- dataset_name: Poker Hand
+- table_name: c10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 1025010
+- important_fields:
+- s1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s1.
+- c1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c1.
+- s2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s2.
+- c2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c2.
+- s3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s3.
+- c3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c3.
+- s4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s4.
+- c4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c4.
+- s5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s5.
+- c5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c5.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['s1', 'c1', 'class'], ['s1', 's1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/158/poker+hand
+
+SQLite schema snapshot:
+{
+  "table_name": "c10",
+  "quoted_table_name": "\"c10\"",
+  "row_count": 1025010,
+  "columns": [
+    {
+      "name": "s1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "s1": "1",
+      "c1": "1",
+      "s2": "1",
+      "c2": "13",
+      "s3": "2",
+      "c3": "4",
+      "s4": "2",
+      "c4": "3",
+      "s5": "1",
+      "c5": "12",
+      "class": "0"
+    },
+    {
+      "s1": "3",
+      "c1": "12",
+      "s2": "3",
+      "c2": "2",
+      "s3": "3",
+      "c3": "11",
+      "s4": "4",
+      "c4": "5",
+      "s5": "2",
+      "c5": "5",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "9",
+      "s2": "4",
+      "c2": "6",
+      "s3": "1",
+      "c3": "4",
+      "s4": "3",
+      "c4": "2",
+      "s5": "3",
+      "c5": "9",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "4",
+      "s2": "3",
+      "c2": "13",
+      "s3": "2",
+      "c3": "13",
+      "s4": "2",
+      "c4": "1",
+      "s5": "3",
+      "c5": "6",
+      "class": "1"
+    },
+    {
+      "s1": "3",
+      "c1": "10",
+      "s2": "2",
+      "c2": "7",
+      "s3": "1",
+      "c3": "2",
+      "s4": "2",
+      "c4": "11",
+      "s5": "4",
+      "c5": "9",
+      "class": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c10",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=c5, condition_col=s1.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "c5",
+    "condition_col": "s1",
+    "condition_value": "2",
+    "positive_value": "1",
+    "negative_value": "2",
+    "top_k": 17,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 10.0,
+    "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       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;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0653c9fa08e673b7/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fb-3c74-71b1-ad89-a51cb0e4d2b6"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"c5\\\",\\n       AVG(CASE WHEN \\\"s1\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c10\\\"\\nGROUP BY \\\"c5\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"c5\\\" and condition_col=\\\"s1\\\", using condition_value '2' as bound.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14209,"cached_input_tokens":13696,"output_tokens":227,"reasoning_output_tokens":122}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0653c9fa08e673b7/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"c5\",\n       AVG(CASE WHEN \"s1\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c10\"\nGROUP BY \"c5\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template with group_col=\"c5\" and condition_col=\"s1\", using condition_value '2' as bound."}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0c8c55d78fa3d2db/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6371, "bytes_utf8": 6371, "lines": 228, "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": 364, "bytes_utf8": 364, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14147, "cached_input_tokens": 0, "output_tokens": 259, "reasoning_output_tokens": 151}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0c8c55d78fa3d2db/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": "c10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c10_0c8c55d78fa3d2db",
+    "api_calls": 0,
+    "input_tokens": 14147,
+    "cached_input_tokens": 0,
+    "output_tokens": 259,
+    "total_tokens": 14406,
+    "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": 8727.18,
+    "sql_execution_elapsed_ms_total": 435.08,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0c8c55d78fa3d2db/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0c8c55d78fa3d2db/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": "2026-05-19T15:28:17.978939+00:00",
+  "ended_at": "2026-05-19T15:28:26.706153+00:00",
+  "elapsed_ms": 8727.18,
+  "prompt_metrics": {
+    "chars": 6371,
+    "bytes_utf8": 6371,
+    "lines": 228,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 718,
+    "bytes_utf8": 718,
+    "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": 364,
+      "bytes_utf8": 364,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14147,
+      "cached_input_tokens": 0,
+      "output_tokens": 259,
+      "reasoning_output_tokens": 151
+    }
+  },
+  "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_a/c10/artifacts/v2q_c10_0c8c55d78fa3d2db/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,228 @@
+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: c10
+- dataset_name: Poker Hand
+- table_name: c10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 1025010
+- important_fields:
+- s1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s1.
+- c1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c1.
+- s2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s2.
+- c2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c2.
+- s3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s3.
+- c3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c3.
+- s4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s4.
+- c4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c4.
+- s5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s5.
+- c5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c5.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['s1', 'c1', 'class'], ['s1', 's1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/158/poker+hand
+
+SQLite schema snapshot:
+{
+  "table_name": "c10",
+  "quoted_table_name": "\"c10\"",
+  "row_count": 1025010,
+  "columns": [
+    {
+      "name": "s1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "s1": "1",
+      "c1": "1",
+      "s2": "1",
+      "c2": "13",
+      "s3": "2",
+      "c3": "4",
+      "s4": "2",
+      "c4": "3",
+      "s5": "1",
+      "c5": "12",
+      "class": "0"
+    },
+    {
+      "s1": "3",
+      "c1": "12",
+      "s2": "3",
+      "c2": "2",
+      "s3": "3",
+      "c3": "11",
+      "s4": "4",
+      "c4": "5",
+      "s5": "2",
+      "c5": "5",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "9",
+      "s2": "4",
+      "c2": "6",
+      "s3": "1",
+      "c3": "4",
+      "s4": "3",
+      "c4": "2",
+      "s5": "3",
+      "c5": "9",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "4",
+      "s2": "3",
+      "c2": "13",
+      "s3": "2",
+      "c3": "13",
+      "s4": "2",
+      "c4": "1",
+      "s5": "3",
+      "c5": "6",
+      "class": "1"
+    },
+    {
+      "s1": "3",
+      "c1": "10",
+      "s2": "2",
+      "c2": "7",
+      "s3": "1",
+      "c3": "2",
+      "s4": "2",
+      "c4": "11",
+      "s5": "4",
+      "c5": "9",
+      "class": "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": "c10",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=s1, measure_col=s1.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "s1",
+    "measure_col": "s1",
+    "top_k": 10,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 3.25,
+    "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_a/c10/artifacts/v2q_c10_0c8c55d78fa3d2db/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-2337-7be0-aa17-8c458a729936"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"s1\\\", SUM(CAST(\\\"s1\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"c10\\\"\\nGROUP BY \\\"s1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"s1\\\" and measure_col=\\\"s1\\\". CAST is applied because the schema stores \\\"s1\\\" as TEXT, but the measure is numeric-discrete.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14147,"cached_input_tokens":0,"output_tokens":259,"reasoning_output_tokens":151}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0c8c55d78fa3d2db/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"s1\", SUM(CAST(\"s1\" AS NUMERIC)) AS total_measure\nFROM \"c10\"\nGROUP BY \"s1\"\nORDER BY total_measure DESC;","notes":"Used the required Grouped Numeric Sum template with group_col=\"s1\" and measure_col=\"s1\". CAST is applied because the schema stores \"s1\" as TEXT, but the measure is numeric-discrete."}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0dacd26d3989c0d0/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6370, "bytes_utf8": 6370, "lines": 228, "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": 366, "bytes_utf8": 366, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14147, "cached_input_tokens": 12032, "output_tokens": 358, "reasoning_output_tokens": 249}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0dacd26d3989c0d0/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": "c10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c10_0dacd26d3989c0d0",
+    "api_calls": 0,
+    "input_tokens": 14147,
+    "cached_input_tokens": 12032,
+    "output_tokens": 358,
+    "total_tokens": 14505,
+    "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": 9206.92,
+    "sql_execution_elapsed_ms_total": 568.4,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0dacd26d3989c0d0/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0dacd26d3989c0d0/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": "2026-05-19T15:29:24.889652+00:00",
+  "ended_at": "2026-05-19T15:29:34.096602+00:00",
+  "elapsed_ms": 9206.92,
+  "prompt_metrics": {
+    "chars": 6370,
+    "bytes_utf8": 6370,
+    "lines": 228,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 732,
+    "bytes_utf8": 732,
+    "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": 366,
+      "bytes_utf8": 366,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14147,
+      "cached_input_tokens": 12032,
+      "output_tokens": 358,
+      "reasoning_output_tokens": 249
+    }
+  },
+  "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_a/c10/artifacts/v2q_c10_0dacd26d3989c0d0/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,228 @@
+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: c10
+- dataset_name: Poker Hand
+- table_name: c10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 1025010
+- important_fields:
+- s1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s1.
+- c1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c1.
+- s2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s2.
+- c2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c2.
+- s3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s3.
+- c3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c3.
+- s4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s4.
+- c4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c4.
+- s5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s5.
+- c5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c5.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['s1', 'c1', 'class'], ['s1', 's1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/158/poker+hand
+
+SQLite schema snapshot:
+{
+  "table_name": "c10",
+  "quoted_table_name": "\"c10\"",
+  "row_count": 1025010,
+  "columns": [
+    {
+      "name": "s1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "s1": "1",
+      "c1": "1",
+      "s2": "1",
+      "c2": "13",
+      "s3": "2",
+      "c3": "4",
+      "s4": "2",
+      "c4": "3",
+      "s5": "1",
+      "c5": "12",
+      "class": "0"
+    },
+    {
+      "s1": "3",
+      "c1": "12",
+      "s2": "3",
+      "c2": "2",
+      "s3": "3",
+      "c3": "11",
+      "s4": "4",
+      "c4": "5",
+      "s5": "2",
+      "c5": "5",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "9",
+      "s2": "4",
+      "c2": "6",
+      "s3": "1",
+      "c3": "4",
+      "s4": "3",
+      "c4": "2",
+      "s5": "3",
+      "c5": "9",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "4",
+      "s2": "3",
+      "c2": "13",
+      "s3": "2",
+      "c3": "13",
+      "s4": "2",
+      "c4": "1",
+      "s5": "3",
+      "c5": "6",
+      "class": "1"
+    },
+    {
+      "s1": "3",
+      "c1": "10",
+      "s2": "2",
+      "c2": "7",
+      "s3": "1",
+      "c3": "2",
+      "s4": "2",
+      "c4": "11",
+      "s5": "4",
+      "c5": "9",
+      "class": "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": "c10",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=c2, measure_col=c2.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "c2",
+    "measure_col": "c2",
+    "top_k": 13,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 12.0,
+    "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}, 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_a/c10/artifacts/v2q_c10_0dacd26d3989c0d0/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-28a6-7d23-a6d2-87310b1b7b66"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"c2\\\", SUM(CAST(\\\"c2\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c10\\\"\\nGROUP BY \\\"c2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"c2\\\" and measure_col=\\\"c2\\\". CAST is used because the schema stores \\\"c2\\\" as TEXT while the field is semantically numeric.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14147,"cached_input_tokens":12032,"output_tokens":358,"reasoning_output_tokens":249}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_0dacd26d3989c0d0/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"c2\", SUM(CAST(\"c2\" AS INTEGER)) AS \"total_measure\"\nFROM \"c10\"\nGROUP BY \"c2\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the Grouped Numeric Sum template with group_col=\"c2\" and measure_col=\"c2\". CAST is used because the schema stores \"c2\" as TEXT while the field is semantically numeric."}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1b3dc36df9714df2/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "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": "2026-05-19T16:05:34.387799+00:00",
+  "ended_at": "2026-05-19T16:05:37.580682+00:00",
+  "elapsed_ms": 3192.86,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6613,
+    "bytes_utf8": 6613,
+    "lines": 231,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "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": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "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_a/c10/artifacts/v2q_c10_1b3dc36df9714df2/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "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": "2026-05-19T16:05:38.582969+00:00",
+  "ended_at": "2026-05-19T16:05:41.941198+00:00",
+  "elapsed_ms": 3358.15,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6613,
+    "bytes_utf8": 6613,
+    "lines": 231,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "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": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1b3dc36df9714df2/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,231 @@
+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: c10
+- dataset_name: Poker Hand
+- table_name: c10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 1025010
+- important_fields:
+- s1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s1.
+- c1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c1.
+- s2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s2.
+- c2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c2.
+- s3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s3.
+- c3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c3.
+- s4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s4.
+- c4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c4.
+- s5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s5.
+- c5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c5.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['s1', 'c1', 'class'], ['s1', 's1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/158/poker+hand
+
+SQLite schema snapshot:
+{
+  "table_name": "c10",
+  "quoted_table_name": "\"c10\"",
+  "row_count": 1025010,
+  "columns": [
+    {
+      "name": "s1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "s1": "1",
+      "c1": "1",
+      "s2": "1",
+      "c2": "13",
+      "s3": "2",
+      "c3": "4",
+      "s4": "2",
+      "c4": "3",
+      "s5": "1",
+      "c5": "12",
+      "class": "0"
+    },
+    {
+      "s1": "3",
+      "c1": "12",
+      "s2": "3",
+      "c2": "2",
+      "s3": "3",
+      "c3": "11",
+      "s4": "4",
+      "c4": "5",
+      "s5": "2",
+      "c5": "5",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "9",
+      "s2": "4",
+      "c2": "6",
+      "s3": "1",
+      "c3": "4",
+      "s4": "3",
+      "c4": "2",
+      "s5": "3",
+      "c5": "9",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "4",
+      "s2": "3",
+      "c2": "13",
+      "s3": "2",
+      "c3": "13",
+      "s4": "2",
+      "c4": "1",
+      "s5": "3",
+      "c5": "6",
+      "class": "1"
+    },
+    {
+      "s1": "3",
+      "c1": "10",
+      "s2": "2",
+      "c2": "7",
+      "s3": "1",
+      "c3": "2",
+      "s4": "2",
+      "c4": "11",
+      "s5": "4",
+      "c5": "9",
+      "class": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c10",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=s2, condition_col=s5.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "s2",
+    "condition_col": "s5",
+    "condition_value": "4",
+    "positive_value": "1",
+    "negative_value": "4",
+    "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": 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
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "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;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1b3dc36df9714df2/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,231 @@
+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: c10
+- dataset_name: Poker Hand
+- table_name: c10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 1025010
+- important_fields:
+- s1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s1.
+- c1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c1.
+- s2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s2.
+- c2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c2.
+- s3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s3.
+- c3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c3.
+- s4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s4.
+- c4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c4.
+- s5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s5.
+- c5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c5.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['s1', 'c1', 'class'], ['s1', 's1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/158/poker+hand
+
+SQLite schema snapshot:
+{
+  "table_name": "c10",
+  "quoted_table_name": "\"c10\"",
+  "row_count": 1025010,
+  "columns": [
+    {
+      "name": "s1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "s1": "1",
+      "c1": "1",
+      "s2": "1",
+      "c2": "13",
+      "s3": "2",
+      "c3": "4",
+      "s4": "2",
+      "c4": "3",
+      "s5": "1",
+      "c5": "12",
+      "class": "0"
+    },
+    {
+      "s1": "3",
+      "c1": "12",
+      "s2": "3",
+      "c2": "2",
+      "s3": "3",
+      "c3": "11",
+      "s4": "4",
+      "c4": "5",
+      "s5": "2",
+      "c5": "5",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "9",
+      "s2": "4",
+      "c2": "6",
+      "s3": "1",
+      "c3": "4",
+      "s4": "3",
+      "c4": "2",
+      "s5": "3",
+      "c5": "9",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "4",
+      "s2": "3",
+      "c2": "13",
+      "s3": "2",
+      "c3": "13",
+      "s4": "2",
+      "c4": "1",
+      "s5": "3",
+      "c5": "6",
+      "class": "1"
+    },
+    {
+      "s1": "3",
+      "c1": "10",
+      "s2": "2",
+      "c2": "7",
+      "s3": "1",
+      "c3": "2",
+      "s4": "2",
+      "c4": "11",
+      "s5": "4",
+      "c5": "9",
+      "class": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "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;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c10",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=s2, condition_col=s5.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "s2",
+    "condition_col": "s5",
+    "condition_value": "4",
+    "positive_value": "1",
+    "negative_value": "4",
+    "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": 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
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "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;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1b3dc36df9714df2/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-4332-7323-8e15-6bd80c63e22d"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1b3dc36df9714df2/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-4332-7323-8e15-6bd80c63e22d"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1b3dc36df9714df2/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-53a9-7ca3-9107-3e291e8d4a08"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1b3dc36df9714df2/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-53a9-7ca3-9107-3e291e8d4a08"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1c2a40e4ac188d96/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6547, "bytes_utf8": 6547, "lines": 228, "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": 1979, "bytes_utf8": 1979, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14185, "cached_input_tokens": 12032, "output_tokens": 2753, "reasoning_output_tokens": 2057}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1c2a40e4ac188d96/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": "c10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c10_1c2a40e4ac188d96",
+    "api_calls": 0,
+    "input_tokens": 14185,
+    "cached_input_tokens": 12032,
+    "output_tokens": 2753,
+    "total_tokens": 16938,
+    "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": 39205.71,
+    "sql_execution_elapsed_ms_total": 4447.66,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1c2a40e4ac188d96/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1c2a40e4ac188d96/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": "2026-05-19T15:59:40.672640+00:00",
+  "ended_at": "2026-05-19T16:00:19.878389+00:00",
+  "elapsed_ms": 39205.71,
+  "prompt_metrics": {
+    "chars": 6547,
+    "bytes_utf8": 6547,
+    "lines": 228,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2673,
+    "bytes_utf8": 2673,
+    "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": 1979,
+      "bytes_utf8": 1979,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14185,
+      "cached_input_tokens": 12032,
+      "output_tokens": 2753,
+      "reasoning_output_tokens": 2057
+    }
+  },
+  "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_a/c10/artifacts/v2q_c10_1c2a40e4ac188d96/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,228 @@
+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: c10
+- dataset_name: Poker Hand
+- table_name: c10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 1025010
+- important_fields:
+- s1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s1.
+- c1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c1.
+- s2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s2.
+- c2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c2.
+- s3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s3.
+- c3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c3.
+- s4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s4.
+- c4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c4.
+- s5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s5.
+- c5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c5.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['s1', 'c1', 'class'], ['s1', 's1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/158/poker+hand
+
+SQLite schema snapshot:
+{
+  "table_name": "c10",
+  "quoted_table_name": "\"c10\"",
+  "row_count": 1025010,
+  "columns": [
+    {
+      "name": "s1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "s1": "1",
+      "c1": "1",
+      "s2": "1",
+      "c2": "13",
+      "s3": "2",
+      "c3": "4",
+      "s4": "2",
+      "c4": "3",
+      "s5": "1",
+      "c5": "12",
+      "class": "0"
+    },
+    {
+      "s1": "3",
+      "c1": "12",
+      "s2": "3",
+      "c2": "2",
+      "s3": "3",
+      "c3": "11",
+      "s4": "4",
+      "c4": "5",
+      "s5": "2",
+      "c5": "5",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "9",
+      "s2": "4",
+      "c2": "6",
+      "s3": "1",
+      "c3": "4",
+      "s4": "3",
+      "c4": "2",
+      "s5": "3",
+      "c5": "9",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "4",
+      "s2": "3",
+      "c2": "13",
+      "s3": "2",
+      "c3": "13",
+      "s4": "2",
+      "c4": "1",
+      "s5": "3",
+      "c5": "6",
+      "class": "1"
+    },
+    {
+      "s1": "3",
+      "c1": "10",
+      "s2": "2",
+      "c2": "7",
+      "s3": "1",
+      "c3": "2",
+      "s4": "2",
+      "c4": "11",
+      "s5": "4",
+      "c5": "9",
+      "class": "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": "c10",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=c2, measure_col=c1.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "c2",
+    "measure_col": "c1",
+    "top_k": 11,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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
+  },
+  "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_a/c10/artifacts/v2q_c10_1c2a40e4ac188d96/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-dd89-76a2-8b46-15f6ed99a749"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"eligible_groups\\\" AS (\\n  SELECT\\n    \\\"c2\\\"\\n  FROM \\\"c10\\\"\\n  WHERE \\\"c2\\\" IS NOT NULL\\n    AND \\\"c1\\\" IS NOT NULL\\n  GROUP BY \\\"c2\\\"\\n  HAVING COUNT(*) >= 5\\n),\\n\\\"ordered\\\" AS (\\n  SELECT\\n    t.\\\"c2\\\",\\n    CAST(t.\\\"c1\\\" AS REAL) AS \\\"measure\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY t.\\\"c2\\\"\\n      ORDER BY CAST(t.\\\"c1\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY t.\\\"c2\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"c10\\\" AS t\\n  INNER JOIN \\\"eligible_groups\\\" AS g\\n    ON t.\\\"c2\\\" = g.\\\"c2\\\"\\n  WHERE t.\\\"c2\\\" IS NOT NULL\\n    AND t.\\\"c1\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n  SELECT DISTINCT\\n    \\\"c2\\\",\\n    \\\"cnt\\\",\\n    (1.0 + (\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\",\\n    CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INTEGER) AS \\\"lower_rn\\\"\\n  FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n  SELECT\\n    \\\"c2\\\",\\n    \\\"pos\\\",\\n    \\\"lower_rn\\\",\\n    CASE\\n      WHEN \\\"pos\\\" > \\\"lower_rn\\\" THEN \\\"lower_rn\\\" + 1\\n      ELSE \\\"lower_rn\\\"\\n    END AS \\\"upper_rn\\\"\\n  FROM \\\"positions\\\"\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    b.\\\"c2\\\",\\n    b.\\\"pos\\\",\\n    b.\\\"lower_rn\\\",\\n    b.\\\"upper_rn\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"lower_val\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"upper_val\\\"\\n  FROM \\\"bounds\\\" AS b\\n  INNER JOIN \\\"ordered\\\" AS o\\n    ON o.\\\"c2\\\" = b.\\\"c2\\\"\\n  GROUP BY\\n    b.\\\"c2\\\",\\n    b.\\\"pos\\\",\\n    b.\\\"lower_rn\\\",\\n    b.\\\"upper_rn\\\"\\n)\\nSELECT\\n  \\\"c2\\\",\\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 \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.9) in SQLite using window functions and linear interpolation, grouping by \\\"c2\\\" and casting TEXT measure column \\\"c1\\\" to REAL; filters to groups with at least 5 non-null rows.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14185,"cached_input_tokens":12032,"output_tokens":2753,"reasoning_output_tokens":2057}}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1c2a40e4ac188d96/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"eligible_groups\" AS (\n  SELECT\n    \"c2\"\n  FROM \"c10\"\n  WHERE \"c2\" IS NOT NULL\n    AND \"c1\" IS NOT NULL\n  GROUP BY \"c2\"\n  HAVING COUNT(*) >= 5\n),\n\"ordered\" AS (\n  SELECT\n    t.\"c2\",\n    CAST(t.\"c1\" AS REAL) AS \"measure\",\n    ROW_NUMBER() OVER (\n      PARTITION BY t.\"c2\"\n      ORDER BY CAST(t.\"c1\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY t.\"c2\"\n    ) AS \"cnt\"\n  FROM \"c10\" AS t\n  INNER JOIN \"eligible_groups\" AS g\n    ON t.\"c2\" = g.\"c2\"\n  WHERE t.\"c2\" IS NOT NULL\n    AND t.\"c1\" IS NOT NULL\n),\n\"positions\" AS (\n  SELECT DISTINCT\n    \"c2\",\n    \"cnt\",\n    (1.0 + (\"cnt\" - 1) * 0.9) AS \"pos\",\n    CAST((1.0 + (\"cnt\" - 1) * 0.9) AS INTEGER) AS \"lower_rn\"\n  FROM \"ordered\"\n),\n\"bounds\" AS (\n  SELECT\n    \"c2\",\n    \"pos\",\n    \"lower_rn\",\n    CASE\n      WHEN \"pos\" > \"lower_rn\" THEN \"lower_rn\" + 1\n      ELSE \"lower_rn\"\n    END AS \"upper_rn\"\n  FROM \"positions\"\n),\n\"picked\" AS (\n  SELECT\n    b.\"c2\",\n    b.\"pos\",\n    b.\"lower_rn\",\n    b.\"upper_rn\",\n    MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure\" END) AS \"lower_val\",\n    MAX(CASE WHEN o.\"rn\" = b.\"upper_rn\" THEN o.\"measure\" END) AS \"upper_val\"\n  FROM \"bounds\" AS b\n  INNER JOIN \"ordered\" AS o\n    ON o.\"c2\" = b.\"c2\"\n  GROUP BY\n    b.\"c2\",\n    b.\"pos\",\n    b.\"lower_rn\",\n    b.\"upper_rn\"\n)\nSELECT\n  \"c2\",\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 \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.9) in SQLite using window functions and linear interpolation, grouping by \"c2\" and casting TEXT measure column \"c1\" to REAL; filters to groups with at least 5 non-null rows."}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1c88934a8c131726/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "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": "2026-05-19T16:09:10.197246+00:00",
+  "ended_at": "2026-05-19T16:09:13.643550+00:00",
+  "elapsed_ms": 3446.27,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6372,
+    "bytes_utf8": 6372,
+    "lines": 226,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "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": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "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_a/c10/artifacts/v2q_c10_1c88934a8c131726/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "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": "2026-05-19T16:09:14.645371+00:00",
+  "ended_at": "2026-05-19T16:09:17.801817+00:00",
+  "elapsed_ms": 3156.41,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 6372,
+    "bytes_utf8": 6372,
+    "lines": 226,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "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": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1c88934a8c131726/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,226 @@
+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: c10
+- dataset_name: Poker Hand
+- table_name: c10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 1025010
+- important_fields:
+- s1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s1.
+- c1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c1.
+- s2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s2.
+- c2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c2.
+- s3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s3.
+- c3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c3.
+- s4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s4.
+- c4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c4.
+- s5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s5.
+- c5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c5.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['s1', 'c1', 'class'], ['s1', 's1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/158/poker+hand
+
+SQLite schema snapshot:
+{
+  "table_name": "c10",
+  "quoted_table_name": "\"c10\"",
+  "row_count": 1025010,
+  "columns": [
+    {
+      "name": "s1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "s1": "1",
+      "c1": "1",
+      "s2": "1",
+      "c2": "13",
+      "s3": "2",
+      "c3": "4",
+      "s4": "2",
+      "c4": "3",
+      "s5": "1",
+      "c5": "12",
+      "class": "0"
+    },
+    {
+      "s1": "3",
+      "c1": "12",
+      "s2": "3",
+      "c2": "2",
+      "s3": "3",
+      "c3": "11",
+      "s4": "4",
+      "c4": "5",
+      "s5": "2",
+      "c5": "5",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "9",
+      "s2": "4",
+      "c2": "6",
+      "s3": "1",
+      "c3": "4",
+      "s4": "3",
+      "c4": "2",
+      "s5": "3",
+      "c5": "9",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "4",
+      "s2": "3",
+      "c2": "13",
+      "s3": "2",
+      "c3": "13",
+      "s4": "2",
+      "c4": "1",
+      "s5": "3",
+      "c5": "6",
+      "class": "1"
+    },
+    {
+      "s1": "3",
+      "c1": "10",
+      "s2": "2",
+      "c2": "7",
+      "s3": "1",
+      "c3": "2",
+      "s4": "2",
+      "c4": "11",
+      "s5": "4",
+      "c5": "9",
+      "class": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c10",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=c2.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "c2",
+    "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": 3.25,
+    "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\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1c88934a8c131726/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,226 @@
+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: c10
+- dataset_name: Poker Hand
+- table_name: c10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 10 feature columns and target `class`.
+- task_type: classification
+- target_column: class
+- main_row_count: 1025010
+- important_fields:
+- s1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s1.
+- c1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c1.
+- s2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s2.
+- c2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c2.
+- s3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s3.
+- c3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c3.
+- s4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s4.
+- c4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c4.
+- s5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for s5.
+- c5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for c5.
+- class: role=target, type=categorical_ordinal_target. ordered=['0', '1', '2', '3', '6'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class.
+- useful_field_combinations: [['s1', 'c1', 'class'], ['s1', 's1', 'class']]
+- fields_requiring_caution: ['class']
+- source_url: https://archive.ics.uci.edu/dataset/158/poker+hand
+
+SQLite schema snapshot:
+{
+  "table_name": "c10",
+  "quoted_table_name": "\"c10\"",
+  "row_count": 1025010,
+  "columns": [
+    {
+      "name": "s1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c3",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c4",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "s5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "c5",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "class",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "s1": "1",
+      "c1": "1",
+      "s2": "1",
+      "c2": "13",
+      "s3": "2",
+      "c3": "4",
+      "s4": "2",
+      "c4": "3",
+      "s5": "1",
+      "c5": "12",
+      "class": "0"
+    },
+    {
+      "s1": "3",
+      "c1": "12",
+      "s2": "3",
+      "c2": "2",
+      "s3": "3",
+      "c3": "11",
+      "s4": "4",
+      "c4": "5",
+      "s5": "2",
+      "c5": "5",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "9",
+      "s2": "4",
+      "c2": "6",
+      "s3": "1",
+      "c3": "4",
+      "s4": "3",
+      "c4": "2",
+      "s5": "3",
+      "c5": "9",
+      "class": "1"
+    },
+    {
+      "s1": "1",
+      "c1": "4",
+      "s2": "3",
+      "c2": "13",
+      "s3": "2",
+      "c3": "13",
+      "s4": "2",
+      "c4": "1",
+      "s5": "3",
+      "c5": "6",
+      "class": "1"
+    },
+    {
+      "s1": "3",
+      "c1": "10",
+      "s2": "2",
+      "c2": "7",
+      "s3": "1",
+      "c3": "2",
+      "s4": "2",
+      "c4": "11",
+      "s5": "4",
+      "c5": "9",
+      "class": "0"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c10",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=c2.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "c2",
+    "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": 3.25,
+    "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\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_a/c10/artifacts/v2q_c10_1c88934a8c131726/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
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+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}