Add files using upload-large-folder tool

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/conversation.jsonl

@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10669, "bytes_utf8": 10669, "lines": 348, "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": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "}
+{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10669, "bytes_utf8": 10669, "lines": 348, "estimated_tokens": null}}
+{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 2016, "bytes_utf8": 2016, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15251, "cached_input_tokens": 14720, "output_tokens": 3130, "reasoning_output_tokens": 2459}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/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": 2,
+  "usage_summary": {
+    "dataset_id": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_02473088168c1688",
+    "api_calls": 0,
+    "input_tokens": 15251,
+    "cached_input_tokens": 14720,
+    "output_tokens": 3130,
+    "total_tokens": 18381,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 2,
+    "estimated_input_tokens": 0,
+    "estimated_output_tokens": 0,
+    "estimated_total_tokens": 0,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 46003.24,
+    "sql_execution_elapsed_ms_total": 20.47,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/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": "2026-05-19T15:55:55.863842+00:00",
+  "ended_at": "2026-05-19T15:55:58.693920+00:00",
+  "elapsed_ms": 2830.05,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 10669,
+    "bytes_utf8": 10669,
+    "lines": 348,
+    "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_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,45 @@
+{
+  "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": "2026-05-19T15:55:59.696525+00:00",
+  "ended_at": "2026-05-19T15:56:42.869766+00:00",
+  "elapsed_ms": 43173.19,
+  "prompt_metrics": {
+    "chars": 10669,
+    "bytes_utf8": 10669,
+    "lines": 348,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2696,
+    "bytes_utf8": 2696,
+    "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": 2016,
+      "bytes_utf8": 2016,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15251,
+      "cached_input_tokens": 14720,
+      "output_tokens": 3130,
+      "reasoning_output_tokens": 2459
+    }
+  },
+  "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_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,348 @@
+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: m10
+- dataset_name: Mobile Price Classification
+- table_name: m10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`.
+- task_type: regression
+- target_column: int_memory
+- main_row_count: 2000
+- important_fields:
+- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power.
+- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue.
+- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed.
+- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim.
+- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc.
+- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g.
+- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory.
+- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep.
+- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt.
+- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores.
+- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc.
+- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height.
+- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width.
+- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram.
+- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h.
+- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w.
+- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time.
+- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g.
+- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen.
+- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi.
+- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range.
+- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']]
+- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height']
+- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification
+
+SQLite schema snapshot:
+{
+  "table_name": "m10",
+  "quoted_table_name": "\"m10\"",
+  "row_count": 2000,
+  "columns": [
+    {
+      "name": "battery_power",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "blue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "clock_speed",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "dual_sim",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "fc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "four_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "int_memory",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "m_dep",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mobile_wt",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "n_cores",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_height",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_width",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ram",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_h",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_w",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "talk_time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "three_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "touch_screen",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wifi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price_range",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "battery_power": "842",
+      "blue": "0",
+      "clock_speed": "2.2",
+      "dual_sim": "0",
+      "fc": "1",
+      "four_g": "0",
+      "int_memory": "7",
+      "m_dep": "0.6",
+      "mobile_wt": "188",
+      "n_cores": "2",
+      "pc": "2",
+      "px_height": "20",
+      "px_width": "756",
+      "ram": "2549",
+      "sc_h": "9",
+      "sc_w": "7",
+      "talk_time": "19",
+      "three_g": "0",
+      "touch_screen": "0",
+      "wifi": "1",
+      "price_range": "1"
+    },
+    {
+      "battery_power": "1021",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "0",
+      "four_g": "1",
+      "int_memory": "53",
+      "m_dep": "0.7",
+      "mobile_wt": "136",
+      "n_cores": "3",
+      "pc": "6",
+      "px_height": "905",
+      "px_width": "1988",
+      "ram": "2631",
+      "sc_h": "17",
+      "sc_w": "3",
+      "talk_time": "7",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "563",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "2",
+      "four_g": "1",
+      "int_memory": "41",
+      "m_dep": "0.9",
+      "mobile_wt": "145",
+      "n_cores": "5",
+      "pc": "6",
+      "px_height": "1263",
+      "px_width": "1716",
+      "ram": "2603",
+      "sc_h": "11",
+      "sc_w": "2",
+      "talk_time": "9",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "615",
+      "blue": "1",
+      "clock_speed": "2.5",
+      "dual_sim": "0",
+      "fc": "0",
+      "four_g": "0",
+      "int_memory": "10",
+      "m_dep": "0.8",
+      "mobile_wt": "131",
+      "n_cores": "6",
+      "pc": "9",
+      "px_height": "1216",
+      "px_width": "1786",
+      "ram": "2769",
+      "sc_h": "16",
+      "sc_w": "8",
+      "talk_time": "11",
+      "three_g": "1",
+      "touch_screen": "0",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "1821",
+      "blue": "1",
+      "clock_speed": "1.2",
+      "dual_sim": "0",
+      "fc": "13",
+      "four_g": "1",
+      "int_memory": "44",
+      "m_dep": "0.6",
+      "mobile_wt": "141",
+      "n_cores": "2",
+      "pc": "14",
+      "px_height": "1208",
+      "px_width": "1212",
+      "ram": "1411",
+      "sc_h": "8",
+      "sc_w": "2",
+      "talk_time": "15",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "1"
+    }
+  ]
+}
+
+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": "m10",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=blue, measure_col=pc.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "blue",
+    "measure_col": "pc",
+    "top_k": 15,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 13.0,
+    "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_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,348 @@
+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: m10
+- dataset_name: Mobile Price Classification
+- table_name: m10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`.
+- task_type: regression
+- target_column: int_memory
+- main_row_count: 2000
+- important_fields:
+- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power.
+- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue.
+- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed.
+- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim.
+- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc.
+- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g.
+- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory.
+- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep.
+- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt.
+- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores.
+- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc.
+- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height.
+- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width.
+- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram.
+- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h.
+- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w.
+- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time.
+- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g.
+- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen.
+- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi.
+- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range.
+- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']]
+- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height']
+- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification
+
+SQLite schema snapshot:
+{
+  "table_name": "m10",
+  "quoted_table_name": "\"m10\"",
+  "row_count": 2000,
+  "columns": [
+    {
+      "name": "battery_power",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "blue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "clock_speed",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "dual_sim",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "fc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "four_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "int_memory",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "m_dep",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mobile_wt",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "n_cores",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_height",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_width",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ram",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_h",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_w",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "talk_time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "three_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "touch_screen",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wifi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price_range",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "battery_power": "842",
+      "blue": "0",
+      "clock_speed": "2.2",
+      "dual_sim": "0",
+      "fc": "1",
+      "four_g": "0",
+      "int_memory": "7",
+      "m_dep": "0.6",
+      "mobile_wt": "188",
+      "n_cores": "2",
+      "pc": "2",
+      "px_height": "20",
+      "px_width": "756",
+      "ram": "2549",
+      "sc_h": "9",
+      "sc_w": "7",
+      "talk_time": "19",
+      "three_g": "0",
+      "touch_screen": "0",
+      "wifi": "1",
+      "price_range": "1"
+    },
+    {
+      "battery_power": "1021",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "0",
+      "four_g": "1",
+      "int_memory": "53",
+      "m_dep": "0.7",
+      "mobile_wt": "136",
+      "n_cores": "3",
+      "pc": "6",
+      "px_height": "905",
+      "px_width": "1988",
+      "ram": "2631",
+      "sc_h": "17",
+      "sc_w": "3",
+      "talk_time": "7",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "563",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "2",
+      "four_g": "1",
+      "int_memory": "41",
+      "m_dep": "0.9",
+      "mobile_wt": "145",
+      "n_cores": "5",
+      "pc": "6",
+      "px_height": "1263",
+      "px_width": "1716",
+      "ram": "2603",
+      "sc_h": "11",
+      "sc_w": "2",
+      "talk_time": "9",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "615",
+      "blue": "1",
+      "clock_speed": "2.5",
+      "dual_sim": "0",
+      "fc": "0",
+      "four_g": "0",
+      "int_memory": "10",
+      "m_dep": "0.8",
+      "mobile_wt": "131",
+      "n_cores": "6",
+      "pc": "9",
+      "px_height": "1216",
+      "px_width": "1786",
+      "ram": "2769",
+      "sc_h": "16",
+      "sc_w": "8",
+      "talk_time": "11",
+      "three_g": "1",
+      "touch_screen": "0",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "1821",
+      "blue": "1",
+      "clock_speed": "1.2",
+      "dual_sim": "0",
+      "fc": "13",
+      "four_g": "1",
+      "int_memory": "44",
+      "m_dep": "0.6",
+      "mobile_wt": "141",
+      "n_cores": "2",
+      "pc": "14",
+      "px_height": "1208",
+      "px_width": "1212",
+      "ram": "1411",
+      "sc_h": "8",
+      "sc_w": "2",
+      "talk_time": "15",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "1"
+    }
+  ]
+}
+
+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": "m10",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=blue, measure_col=pc.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "blue",
+    "measure_col": "pc",
+    "top_k": 15,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 13.0,
+    "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_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-6f8e-7042-bf6e-10585bf1936e"}
+{"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_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-6f8e-7042-bf6e-10585bf1936e"}
+{"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_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f3-7e7b-75c2-94d6-3cd168875fc6"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n  SELECT\\n    \\\"blue\\\",\\n    CAST(\\\"pc\\\" AS REAL) AS \\\"pc_value\\\",\\n    ROW_NUMBER() OVER (\\n      PARTITION BY \\\"blue\\\"\\n      ORDER BY CAST(\\\"pc\\\" AS REAL)\\n    ) AS \\\"rn\\\",\\n    COUNT(*) OVER (\\n      PARTITION BY \\\"blue\\\"\\n    ) AS \\\"cnt\\\"\\n  FROM \\\"m10\\\"\\n  WHERE \\\"blue\\\" IS NOT NULL\\n    AND \\\"pc\\\" IS NOT NULL\\n),\\n\\\"targets\\\" AS (\\n  SELECT\\n    \\\"group_counts\\\".\\\"blue\\\",\\n    \\\"group_counts\\\".\\\"cnt\\\",\\n    (1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS \\\"target_rn\\\",\\n    CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n    CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) +\\n      CASE\\n        WHEN (1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n        ELSE 0\\n      END AS \\\"upper_rn\\\"\\n  FROM (\\n    SELECT\\n      \\\"blue\\\",\\n      MAX(\\\"cnt\\\") AS \\\"cnt\\\"\\n    FROM \\\"ordered\\\"\\n    GROUP BY \\\"blue\\\"\\n  ) AS \\\"group_counts\\\"\\n  WHERE \\\"group_counts\\\".\\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n  SELECT\\n    o.\\\"blue\\\",\\n    t.\\\"target_rn\\\",\\n    t.\\\"lower_rn\\\",\\n    t.\\\"upper_rn\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"lower_rn\\\" THEN o.\\\"pc_value\\\" END) AS \\\"lower_value\\\",\\n    MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"upper_rn\\\" THEN o.\\\"pc_value\\\" END) AS \\\"upper_value\\\"\\n  FROM \\\"ordered\\\" AS o\\n  JOIN \\\"targets\\\" AS t\\n    ON o.\\\"blue\\\" = t.\\\"blue\\\"\\n  GROUP BY\\n    o.\\\"blue\\\",\\n    t.\\\"target_rn\\\",\\n    t.\\\"lower_rn\\\",\\n    t.\\\"upper_rn\\\"\\n)\\nSELECT\\n  \\\"blue\\\",\\n  CASE\\n    WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n    ELSE \\\"lower_value\\\" + (\\\"target_rn\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates the 90th continuous percentile of \\\"pc\\\" within each \\\"blue\\\" group in SQLite using window functions and linear interpolation, with TEXT values cast to REAL for numeric ordering.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15251,"cached_input_tokens":14720,"output_tokens":3130,"reasoning_output_tokens":2459}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_2.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n  SELECT\n    \"blue\",\n    CAST(\"pc\" AS REAL) AS \"pc_value\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"blue\"\n      ORDER BY CAST(\"pc\" AS REAL)\n    ) AS \"rn\",\n    COUNT(*) OVER (\n      PARTITION BY \"blue\"\n    ) AS \"cnt\"\n  FROM \"m10\"\n  WHERE \"blue\" IS NOT NULL\n    AND \"pc\" IS NOT NULL\n),\n\"targets\" AS (\n  SELECT\n    \"group_counts\".\"blue\",\n    \"group_counts\".\"cnt\",\n    (1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS \"target_rn\",\n    CAST((1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n    CAST((1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS INTEGER) +\n      CASE\n        WHEN (1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) > CAST((1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS INTEGER) THEN 1\n        ELSE 0\n      END AS \"upper_rn\"\n  FROM (\n    SELECT\n      \"blue\",\n      MAX(\"cnt\") AS \"cnt\"\n    FROM \"ordered\"\n    GROUP BY \"blue\"\n  ) AS \"group_counts\"\n  WHERE \"group_counts\".\"cnt\" >= 5\n),\n\"picked\" AS (\n  SELECT\n    o.\"blue\",\n    t.\"target_rn\",\n    t.\"lower_rn\",\n    t.\"upper_rn\",\n    MAX(CASE WHEN o.\"rn\" = t.\"lower_rn\" THEN o.\"pc_value\" END) AS \"lower_value\",\n    MAX(CASE WHEN o.\"rn\" = t.\"upper_rn\" THEN o.\"pc_value\" END) AS \"upper_value\"\n  FROM \"ordered\" AS o\n  JOIN \"targets\" AS t\n    ON o.\"blue\" = t.\"blue\"\n  GROUP BY\n    o.\"blue\",\n    t.\"target_rn\",\n    t.\"lower_rn\",\n    t.\"upper_rn\"\n)\nSELECT\n  \"blue\",\n  CASE\n    WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n    ELSE \"lower_value\" + (\"target_rn\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n  END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates the 90th continuous percentile of \"pc\" within each \"blue\" group in SQLite using window functions and linear interpolation, with TEXT values cast to REAL for numeric ordering."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10509, "bytes_utf8": 10509, "lines": 348, "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": 371, "bytes_utf8": 371, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15219, "cached_input_tokens": 12032, "output_tokens": 240, "reasoning_output_tokens": 137}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/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": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_024b6dfade6006ef",
+    "api_calls": 0,
+    "input_tokens": 15219,
+    "cached_input_tokens": 12032,
+    "output_tokens": 240,
+    "total_tokens": 15459,
+    "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": 9777.61,
+    "sql_execution_elapsed_ms_total": 1.15,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/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": "2026-05-19T15:29:47.330775+00:00",
+  "ended_at": "2026-05-19T15:29:57.108411+00:00",
+  "elapsed_ms": 9777.61,
+  "prompt_metrics": {
+    "chars": 10509,
+    "bytes_utf8": 10509,
+    "lines": 348,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 729,
+    "bytes_utf8": 729,
+    "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": 371,
+      "bytes_utf8": 371,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15219,
+      "cached_input_tokens": 12032,
+      "output_tokens": 240,
+      "reasoning_output_tokens": 137
+    }
+  },
+  "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_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,348 @@
+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: m10
+- dataset_name: Mobile Price Classification
+- table_name: m10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`.
+- task_type: regression
+- target_column: int_memory
+- main_row_count: 2000
+- important_fields:
+- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power.
+- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue.
+- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed.
+- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim.
+- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc.
+- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g.
+- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory.
+- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep.
+- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt.
+- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores.
+- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc.
+- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height.
+- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width.
+- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram.
+- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h.
+- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w.
+- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time.
+- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g.
+- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen.
+- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi.
+- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range.
+- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']]
+- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height']
+- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification
+
+SQLite schema snapshot:
+{
+  "table_name": "m10",
+  "quoted_table_name": "\"m10\"",
+  "row_count": 2000,
+  "columns": [
+    {
+      "name": "battery_power",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "blue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "clock_speed",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "dual_sim",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "fc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "four_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "int_memory",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "m_dep",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mobile_wt",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "n_cores",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_height",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_width",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ram",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_h",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_w",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "talk_time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "three_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "touch_screen",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wifi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price_range",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "battery_power": "842",
+      "blue": "0",
+      "clock_speed": "2.2",
+      "dual_sim": "0",
+      "fc": "1",
+      "four_g": "0",
+      "int_memory": "7",
+      "m_dep": "0.6",
+      "mobile_wt": "188",
+      "n_cores": "2",
+      "pc": "2",
+      "px_height": "20",
+      "px_width": "756",
+      "ram": "2549",
+      "sc_h": "9",
+      "sc_w": "7",
+      "talk_time": "19",
+      "three_g": "0",
+      "touch_screen": "0",
+      "wifi": "1",
+      "price_range": "1"
+    },
+    {
+      "battery_power": "1021",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "0",
+      "four_g": "1",
+      "int_memory": "53",
+      "m_dep": "0.7",
+      "mobile_wt": "136",
+      "n_cores": "3",
+      "pc": "6",
+      "px_height": "905",
+      "px_width": "1988",
+      "ram": "2631",
+      "sc_h": "17",
+      "sc_w": "3",
+      "talk_time": "7",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "563",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "2",
+      "four_g": "1",
+      "int_memory": "41",
+      "m_dep": "0.9",
+      "mobile_wt": "145",
+      "n_cores": "5",
+      "pc": "6",
+      "px_height": "1263",
+      "px_width": "1716",
+      "ram": "2603",
+      "sc_h": "11",
+      "sc_w": "2",
+      "talk_time": "9",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "615",
+      "blue": "1",
+      "clock_speed": "2.5",
+      "dual_sim": "0",
+      "fc": "0",
+      "four_g": "0",
+      "int_memory": "10",
+      "m_dep": "0.8",
+      "mobile_wt": "131",
+      "n_cores": "6",
+      "pc": "9",
+      "px_height": "1216",
+      "px_width": "1786",
+      "ram": "2769",
+      "sc_h": "16",
+      "sc_w": "8",
+      "talk_time": "11",
+      "three_g": "1",
+      "touch_screen": "0",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "1821",
+      "blue": "1",
+      "clock_speed": "1.2",
+      "dual_sim": "0",
+      "fc": "13",
+      "four_g": "1",
+      "int_memory": "44",
+      "m_dep": "0.6",
+      "mobile_wt": "141",
+      "n_cores": "2",
+      "pc": "14",
+      "px_height": "1208",
+      "px_width": "1212",
+      "ram": "1411",
+      "sc_h": "8",
+      "sc_w": "2",
+      "talk_time": "15",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "1"
+    }
+  ]
+}
+
+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": "m10",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=four_g, measure_col=mobile_wt.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "four_g",
+    "measure_col": "mobile_wt",
+    "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": 170.0,
+    "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_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40db-8056-71a1-9172-31a658d3ce62"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"four_g\\\", SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"four_g\\\" and measure_col=\\\"mobile_wt\\\". Cast \\\"mobile_wt\\\" to REAL because the schema snapshot stores columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15219,"cached_input_tokens":12032,"output_tokens":240,"reasoning_output_tokens":137}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"four_g\", SUM(CAST(\"mobile_wt\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"four_g\"\nORDER BY total_measure DESC;","notes":"Used the provided grouped numeric sum template with group_col=\"four_g\" and measure_col=\"mobile_wt\". Cast \"mobile_wt\" to REAL because the schema snapshot stores columns as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/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": "2026-05-19T16:02:15.257526+00:00",
+  "ended_at": "2026-05-19T16:02:18.565042+00:00",
+  "elapsed_ms": 3307.48,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 10439,
+    "bytes_utf8": 10439,
+    "lines": 346,
+    "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_b/m10/artifacts/v2q_m10_048887a06e2d2079/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": "2026-05-19T16:02:19.566724+00:00",
+  "ended_at": "2026-05-19T16:02:22.826202+00:00",
+  "elapsed_ms": 3259.45,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 10439,
+    "bytes_utf8": 10439,
+    "lines": 346,
+    "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_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,346 @@
+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: m10
+- dataset_name: Mobile Price Classification
+- table_name: m10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`.
+- task_type: regression
+- target_column: int_memory
+- main_row_count: 2000
+- important_fields:
+- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power.
+- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue.
+- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed.
+- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim.
+- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc.
+- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g.
+- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory.
+- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep.
+- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt.
+- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores.
+- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc.
+- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height.
+- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width.
+- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram.
+- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h.
+- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w.
+- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time.
+- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g.
+- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen.
+- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi.
+- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range.
+- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']]
+- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height']
+- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification
+
+SQLite schema snapshot:
+{
+  "table_name": "m10",
+  "quoted_table_name": "\"m10\"",
+  "row_count": 2000,
+  "columns": [
+    {
+      "name": "battery_power",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "blue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "clock_speed",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "dual_sim",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "fc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "four_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "int_memory",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "m_dep",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mobile_wt",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "n_cores",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_height",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_width",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ram",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_h",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_w",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "talk_time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "three_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "touch_screen",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wifi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price_range",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "battery_power": "842",
+      "blue": "0",
+      "clock_speed": "2.2",
+      "dual_sim": "0",
+      "fc": "1",
+      "four_g": "0",
+      "int_memory": "7",
+      "m_dep": "0.6",
+      "mobile_wt": "188",
+      "n_cores": "2",
+      "pc": "2",
+      "px_height": "20",
+      "px_width": "756",
+      "ram": "2549",
+      "sc_h": "9",
+      "sc_w": "7",
+      "talk_time": "19",
+      "three_g": "0",
+      "touch_screen": "0",
+      "wifi": "1",
+      "price_range": "1"
+    },
+    {
+      "battery_power": "1021",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "0",
+      "four_g": "1",
+      "int_memory": "53",
+      "m_dep": "0.7",
+      "mobile_wt": "136",
+      "n_cores": "3",
+      "pc": "6",
+      "px_height": "905",
+      "px_width": "1988",
+      "ram": "2631",
+      "sc_h": "17",
+      "sc_w": "3",
+      "talk_time": "7",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "563",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "2",
+      "four_g": "1",
+      "int_memory": "41",
+      "m_dep": "0.9",
+      "mobile_wt": "145",
+      "n_cores": "5",
+      "pc": "6",
+      "px_height": "1263",
+      "px_width": "1716",
+      "ram": "2603",
+      "sc_h": "11",
+      "sc_w": "2",
+      "talk_time": "9",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "615",
+      "blue": "1",
+      "clock_speed": "2.5",
+      "dual_sim": "0",
+      "fc": "0",
+      "four_g": "0",
+      "int_memory": "10",
+      "m_dep": "0.8",
+      "mobile_wt": "131",
+      "n_cores": "6",
+      "pc": "9",
+      "px_height": "1216",
+      "px_width": "1786",
+      "ram": "2769",
+      "sc_h": "16",
+      "sc_w": "8",
+      "talk_time": "11",
+      "three_g": "1",
+      "touch_screen": "0",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "1821",
+      "blue": "1",
+      "clock_speed": "1.2",
+      "dual_sim": "0",
+      "fc": "13",
+      "four_g": "1",
+      "int_memory": "44",
+      "m_dep": "0.6",
+      "mobile_wt": "141",
+      "n_cores": "2",
+      "pc": "14",
+      "px_height": "1208",
+      "px_width": "1212",
+      "ram": "1411",
+      "sc_h": "8",
+      "sc_w": "2",
+      "talk_time": "15",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=sc_h.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "sc_h",
+    "top_k": 13,
+    "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": 16.0,
+    "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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,346 @@
+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: m10
+- dataset_name: Mobile Price Classification
+- table_name: m10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`.
+- task_type: regression
+- target_column: int_memory
+- main_row_count: 2000
+- important_fields:
+- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power.
+- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue.
+- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed.
+- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim.
+- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc.
+- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g.
+- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory.
+- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep.
+- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt.
+- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores.
+- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc.
+- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height.
+- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width.
+- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram.
+- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h.
+- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w.
+- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time.
+- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g.
+- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen.
+- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi.
+- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range.
+- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']]
+- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height']
+- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification
+
+SQLite schema snapshot:
+{
+  "table_name": "m10",
+  "quoted_table_name": "\"m10\"",
+  "row_count": 2000,
+  "columns": [
+    {
+      "name": "battery_power",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "blue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "clock_speed",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "dual_sim",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "fc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "four_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "int_memory",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "m_dep",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mobile_wt",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "n_cores",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_height",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_width",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ram",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_h",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_w",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "talk_time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "three_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "touch_screen",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wifi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price_range",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "battery_power": "842",
+      "blue": "0",
+      "clock_speed": "2.2",
+      "dual_sim": "0",
+      "fc": "1",
+      "four_g": "0",
+      "int_memory": "7",
+      "m_dep": "0.6",
+      "mobile_wt": "188",
+      "n_cores": "2",
+      "pc": "2",
+      "px_height": "20",
+      "px_width": "756",
+      "ram": "2549",
+      "sc_h": "9",
+      "sc_w": "7",
+      "talk_time": "19",
+      "three_g": "0",
+      "touch_screen": "0",
+      "wifi": "1",
+      "price_range": "1"
+    },
+    {
+      "battery_power": "1021",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "0",
+      "four_g": "1",
+      "int_memory": "53",
+      "m_dep": "0.7",
+      "mobile_wt": "136",
+      "n_cores": "3",
+      "pc": "6",
+      "px_height": "905",
+      "px_width": "1988",
+      "ram": "2631",
+      "sc_h": "17",
+      "sc_w": "3",
+      "talk_time": "7",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "563",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "2",
+      "four_g": "1",
+      "int_memory": "41",
+      "m_dep": "0.9",
+      "mobile_wt": "145",
+      "n_cores": "5",
+      "pc": "6",
+      "px_height": "1263",
+      "px_width": "1716",
+      "ram": "2603",
+      "sc_h": "11",
+      "sc_w": "2",
+      "talk_time": "9",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "615",
+      "blue": "1",
+      "clock_speed": "2.5",
+      "dual_sim": "0",
+      "fc": "0",
+      "four_g": "0",
+      "int_memory": "10",
+      "m_dep": "0.8",
+      "mobile_wt": "131",
+      "n_cores": "6",
+      "pc": "9",
+      "px_height": "1216",
+      "px_width": "1786",
+      "ram": "2769",
+      "sc_h": "16",
+      "sc_w": "8",
+      "talk_time": "11",
+      "three_g": "1",
+      "touch_screen": "0",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "1821",
+      "blue": "1",
+      "clock_speed": "1.2",
+      "dual_sim": "0",
+      "fc": "13",
+      "four_g": "1",
+      "int_memory": "44",
+      "m_dep": "0.6",
+      "mobile_wt": "141",
+      "n_cores": "2",
+      "pc": "14",
+      "px_height": "1208",
+      "px_width": "1212",
+      "ram": "1411",
+      "sc_h": "8",
+      "sc_w": "2",
+      "talk_time": "15",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=sc_h.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "sc_h",
+    "top_k": 13,
+    "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": 16.0,
+    "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 AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f9-395f-73f3-8a9a-3a198a49a490"}
+{"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_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f9-395f-73f3-8a9a-3a198a49a490"}
+{"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_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f9-4a51-7ce0-b14f-9745e60466ea"}
+{"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_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f9-4a51-7ce0-b14f-9745e60466ea"}
+{"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_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11327, "bytes_utf8": 11327, "lines": 351, "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": 746, "bytes_utf8": 746, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 12032, "output_tokens": 705, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/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": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_08128d2224ba1fe7",
+    "api_calls": 0,
+    "input_tokens": 15426,
+    "cached_input_tokens": 12032,
+    "output_tokens": 705,
+    "total_tokens": 16131,
+    "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": 15046.75,
+    "sql_execution_elapsed_ms_total": 1.26,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/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": "2026-05-19T15:40:40.581292+00:00",
+  "ended_at": "2026-05-19T15:40:55.628074+00:00",
+  "elapsed_ms": 15046.75,
+  "prompt_metrics": {
+    "chars": 11327,
+    "bytes_utf8": 11327,
+    "lines": 351,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1111,
+    "bytes_utf8": 1111,
+    "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": 746,
+      "bytes_utf8": 746,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15426,
+      "cached_input_tokens": 12032,
+      "output_tokens": 705,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "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_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,351 @@
+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: m10
+- dataset_name: Mobile Price Classification
+- table_name: m10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`.
+- task_type: regression
+- target_column: int_memory
+- main_row_count: 2000
+- important_fields:
+- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power.
+- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue.
+- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed.
+- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim.
+- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc.
+- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g.
+- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory.
+- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep.
+- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt.
+- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores.
+- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc.
+- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height.
+- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width.
+- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram.
+- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h.
+- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w.
+- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time.
+- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g.
+- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen.
+- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi.
+- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range.
+- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']]
+- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height']
+- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification
+
+SQLite schema snapshot:
+{
+  "table_name": "m10",
+  "quoted_table_name": "\"m10\"",
+  "row_count": 2000,
+  "columns": [
+    {
+      "name": "battery_power",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "blue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "clock_speed",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "dual_sim",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "fc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "four_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "int_memory",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "m_dep",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mobile_wt",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "n_cores",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_height",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_width",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ram",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_h",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_w",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "talk_time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "three_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "touch_screen",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wifi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price_range",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "battery_power": "842",
+      "blue": "0",
+      "clock_speed": "2.2",
+      "dual_sim": "0",
+      "fc": "1",
+      "four_g": "0",
+      "int_memory": "7",
+      "m_dep": "0.6",
+      "mobile_wt": "188",
+      "n_cores": "2",
+      "pc": "2",
+      "px_height": "20",
+      "px_width": "756",
+      "ram": "2549",
+      "sc_h": "9",
+      "sc_w": "7",
+      "talk_time": "19",
+      "three_g": "0",
+      "touch_screen": "0",
+      "wifi": "1",
+      "price_range": "1"
+    },
+    {
+      "battery_power": "1021",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "0",
+      "four_g": "1",
+      "int_memory": "53",
+      "m_dep": "0.7",
+      "mobile_wt": "136",
+      "n_cores": "3",
+      "pc": "6",
+      "px_height": "905",
+      "px_width": "1988",
+      "ram": "2631",
+      "sc_h": "17",
+      "sc_w": "3",
+      "talk_time": "7",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "563",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "2",
+      "four_g": "1",
+      "int_memory": "41",
+      "m_dep": "0.9",
+      "mobile_wt": "145",
+      "n_cores": "5",
+      "pc": "6",
+      "px_height": "1263",
+      "px_width": "1716",
+      "ram": "2603",
+      "sc_h": "11",
+      "sc_w": "2",
+      "talk_time": "9",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "615",
+      "blue": "1",
+      "clock_speed": "2.5",
+      "dual_sim": "0",
+      "fc": "0",
+      "four_g": "0",
+      "int_memory": "10",
+      "m_dep": "0.8",
+      "mobile_wt": "131",
+      "n_cores": "6",
+      "pc": "9",
+      "px_height": "1216",
+      "px_width": "1786",
+      "ram": "2769",
+      "sc_h": "16",
+      "sc_w": "8",
+      "talk_time": "11",
+      "three_g": "1",
+      "touch_screen": "0",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "1821",
+      "blue": "1",
+      "clock_speed": "1.2",
+      "dual_sim": "0",
+      "fc": "13",
+      "four_g": "1",
+      "int_memory": "44",
+      "m_dep": "0.6",
+      "mobile_wt": "141",
+      "n_cores": "2",
+      "pc": "14",
+      "px_height": "1208",
+      "px_width": "1212",
+      "ram": "1411",
+      "sc_h": "8",
+      "sc_w": "2",
+      "talk_time": "15",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=price_range, condition_col=price_range.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "price_range",
+    "condition_col": "price_range",
+    "condition_value": "0",
+    "positive_value": "0",
+    "negative_value": "1",
+    "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": 7.0,
+    "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},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n    SELECT \"price_range\",\n           SUM(CASE WHEN \"price_range\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN \"price_range\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n    FROM \"m10\"\n    GROUP BY \"price_range\"\n)\nSELECT \"price_range\",\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Used the provided grouped ratio template with both group_col and condition_col bound to \"price_range\", and compared positive_value '0' against negative_value '1' using SQLite-compatible CASE aggregation and NULLIF to avoid division by zero."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10414, "bytes_utf8": 10414, "lines": 346, "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": 279, "bytes_utf8": 279, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15190, "cached_input_tokens": 12032, "output_tokens": 251, "reasoning_output_tokens": 177}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/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": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_0b9224f94410f843",
+    "api_calls": 0,
+    "input_tokens": 15190,
+    "cached_input_tokens": 12032,
+    "output_tokens": 251,
+    "total_tokens": 15441,
+    "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": 7473.96,
+    "sql_execution_elapsed_ms_total": 1.9,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/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": "2026-05-19T15:33:25.669508+00:00",
+  "ended_at": "2026-05-19T15:33:33.143507+00:00",
+  "elapsed_ms": 7473.96,
+  "prompt_metrics": {
+    "chars": 10414,
+    "bytes_utf8": 10414,
+    "lines": 346,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 625,
+    "bytes_utf8": 625,
+    "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": 279,
+      "bytes_utf8": 279,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15190,
+      "cached_input_tokens": 12032,
+      "output_tokens": 251,
+      "reasoning_output_tokens": 177
+    }
+  },
+  "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_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,346 @@
+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: m10
+- dataset_name: Mobile Price Classification
+- table_name: m10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`.
+- task_type: regression
+- target_column: int_memory
+- main_row_count: 2000
+- important_fields:
+- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power.
+- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue.
+- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed.
+- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim.
+- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc.
+- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g.
+- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory.
+- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep.
+- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt.
+- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores.
+- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc.
+- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height.
+- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width.
+- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram.
+- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h.
+- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w.
+- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time.
+- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g.
+- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen.
+- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi.
+- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range.
+- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']]
+- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height']
+- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification
+
+SQLite schema snapshot:
+{
+  "table_name": "m10",
+  "quoted_table_name": "\"m10\"",
+  "row_count": 2000,
+  "columns": [
+    {
+      "name": "battery_power",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "blue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "clock_speed",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "dual_sim",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "fc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "four_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "int_memory",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "m_dep",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mobile_wt",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "n_cores",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_height",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_width",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ram",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_h",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_w",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "talk_time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "three_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "touch_screen",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wifi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price_range",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "battery_power": "842",
+      "blue": "0",
+      "clock_speed": "2.2",
+      "dual_sim": "0",
+      "fc": "1",
+      "four_g": "0",
+      "int_memory": "7",
+      "m_dep": "0.6",
+      "mobile_wt": "188",
+      "n_cores": "2",
+      "pc": "2",
+      "px_height": "20",
+      "px_width": "756",
+      "ram": "2549",
+      "sc_h": "9",
+      "sc_w": "7",
+      "talk_time": "19",
+      "three_g": "0",
+      "touch_screen": "0",
+      "wifi": "1",
+      "price_range": "1"
+    },
+    {
+      "battery_power": "1021",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "0",
+      "four_g": "1",
+      "int_memory": "53",
+      "m_dep": "0.7",
+      "mobile_wt": "136",
+      "n_cores": "3",
+      "pc": "6",
+      "px_height": "905",
+      "px_width": "1988",
+      "ram": "2631",
+      "sc_h": "17",
+      "sc_w": "3",
+      "talk_time": "7",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "563",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "2",
+      "four_g": "1",
+      "int_memory": "41",
+      "m_dep": "0.9",
+      "mobile_wt": "145",
+      "n_cores": "5",
+      "pc": "6",
+      "px_height": "1263",
+      "px_width": "1716",
+      "ram": "2603",
+      "sc_h": "11",
+      "sc_w": "2",
+      "talk_time": "9",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "615",
+      "blue": "1",
+      "clock_speed": "2.5",
+      "dual_sim": "0",
+      "fc": "0",
+      "four_g": "0",
+      "int_memory": "10",
+      "m_dep": "0.8",
+      "mobile_wt": "131",
+      "n_cores": "6",
+      "pc": "9",
+      "px_height": "1216",
+      "px_width": "1786",
+      "ram": "2769",
+      "sc_h": "16",
+      "sc_w": "8",
+      "talk_time": "11",
+      "three_g": "1",
+      "touch_screen": "0",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "1821",
+      "blue": "1",
+      "clock_speed": "1.2",
+      "dual_sim": "0",
+      "fc": "13",
+      "four_g": "1",
+      "int_memory": "44",
+      "m_dep": "0.6",
+      "mobile_wt": "141",
+      "n_cores": "2",
+      "pc": "14",
+      "px_height": "1208",
+      "px_width": "1212",
+      "ram": "1411",
+      "sc_h": "8",
+      "sc_w": "2",
+      "talk_time": "15",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=four_g.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "four_g",
+    "top_k": 14,
+    "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": 7.0,
+    "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}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40de-d528-70d3-9df3-c1492f586ad8"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"four_g\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"four_g\\\" to inspect subgroup size distribution.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15190,"cached_input_tokens":12032,"output_tokens":251,"reasoning_output_tokens":177}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"four_g\", COUNT(*) AS row_count\nFROM \"m10\"\nGROUP BY \"four_g\"\nORDER BY row_count DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"four_g\" to inspect subgroup size distribution."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10409, "bytes_utf8": 10409, "lines": 346, "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": 270, "bytes_utf8": 270, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15188, "cached_input_tokens": 12032, "output_tokens": 358, "reasoning_output_tokens": 284}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/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": "m10",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m10_0bde49f42a6f34e8",
+    "api_calls": 0,
+    "input_tokens": 15188,
+    "cached_input_tokens": 12032,
+    "output_tokens": 358,
+    "total_tokens": 15546,
+    "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": 20670.72,
+    "sql_execution_elapsed_ms_total": 1.03,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/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": "2026-05-19T15:33:04.994286+00:00",
+  "ended_at": "2026-05-19T15:33:25.665027+00:00",
+  "elapsed_ms": 20670.72,
+  "prompt_metrics": {
+    "chars": 10409,
+    "bytes_utf8": 10409,
+    "lines": 346,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1623,
+    "bytes_utf8": 1623,
+    "lines": 7,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 270,
+      "bytes_utf8": 270,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15188,
+      "cached_input_tokens": 12032,
+      "output_tokens": 358,
+      "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_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,346 @@
+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: m10
+- dataset_name: Mobile Price Classification
+- table_name: m10
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`.
+- task_type: regression
+- target_column: int_memory
+- main_row_count: 2000
+- important_fields:
+- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power.
+- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue.
+- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed.
+- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim.
+- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc.
+- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g.
+- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory.
+- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep.
+- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt.
+- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores.
+- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc.
+- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height.
+- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width.
+- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram.
+- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h.
+- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w.
+- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time.
+- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g.
+- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen.
+- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi.
+- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range.
+- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']]
+- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height']
+- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification
+
+SQLite schema snapshot:
+{
+  "table_name": "m10",
+  "quoted_table_name": "\"m10\"",
+  "row_count": 2000,
+  "columns": [
+    {
+      "name": "battery_power",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "blue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "clock_speed",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "dual_sim",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "fc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "four_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "int_memory",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "m_dep",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "mobile_wt",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "n_cores",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "pc",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_height",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "px_width",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ram",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_h",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "sc_w",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "talk_time",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "three_g",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "touch_screen",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "wifi",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "price_range",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "battery_power": "842",
+      "blue": "0",
+      "clock_speed": "2.2",
+      "dual_sim": "0",
+      "fc": "1",
+      "four_g": "0",
+      "int_memory": "7",
+      "m_dep": "0.6",
+      "mobile_wt": "188",
+      "n_cores": "2",
+      "pc": "2",
+      "px_height": "20",
+      "px_width": "756",
+      "ram": "2549",
+      "sc_h": "9",
+      "sc_w": "7",
+      "talk_time": "19",
+      "three_g": "0",
+      "touch_screen": "0",
+      "wifi": "1",
+      "price_range": "1"
+    },
+    {
+      "battery_power": "1021",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "0",
+      "four_g": "1",
+      "int_memory": "53",
+      "m_dep": "0.7",
+      "mobile_wt": "136",
+      "n_cores": "3",
+      "pc": "6",
+      "px_height": "905",
+      "px_width": "1988",
+      "ram": "2631",
+      "sc_h": "17",
+      "sc_w": "3",
+      "talk_time": "7",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "563",
+      "blue": "1",
+      "clock_speed": "0.5",
+      "dual_sim": "1",
+      "fc": "2",
+      "four_g": "1",
+      "int_memory": "41",
+      "m_dep": "0.9",
+      "mobile_wt": "145",
+      "n_cores": "5",
+      "pc": "6",
+      "px_height": "1263",
+      "px_width": "1716",
+      "ram": "2603",
+      "sc_h": "11",
+      "sc_w": "2",
+      "talk_time": "9",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "615",
+      "blue": "1",
+      "clock_speed": "2.5",
+      "dual_sim": "0",
+      "fc": "0",
+      "four_g": "0",
+      "int_memory": "10",
+      "m_dep": "0.8",
+      "mobile_wt": "131",
+      "n_cores": "6",
+      "pc": "9",
+      "px_height": "1216",
+      "px_width": "1786",
+      "ram": "2769",
+      "sc_h": "16",
+      "sc_w": "8",
+      "talk_time": "11",
+      "three_g": "1",
+      "touch_screen": "0",
+      "wifi": "0",
+      "price_range": "2"
+    },
+    {
+      "battery_power": "1821",
+      "blue": "1",
+      "clock_speed": "1.2",
+      "dual_sim": "0",
+      "fc": "13",
+      "four_g": "1",
+      "int_memory": "44",
+      "m_dep": "0.6",
+      "mobile_wt": "141",
+      "n_cores": "2",
+      "pc": "14",
+      "px_height": "1208",
+      "px_width": "1212",
+      "ram": "1411",
+      "sc_h": "8",
+      "sc_w": "2",
+      "talk_time": "15",
+      "three_g": "1",
+      "touch_screen": "1",
+      "wifi": "0",
+      "price_range": "1"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=fc.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "fc",
+    "top_k": 13,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 170.0,
+    "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}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,7 @@
+{"type":"thread.started","thread_id":"019e40de-846d-7ab2-b144-16eea6ac016f"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15823. Please try again in 474ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15823. Please try again in 474ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15823. Please try again in 474ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"fc\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Counts rows for each distinct value of \\\"fc\\\" to examine subgroup count distribution and size stability.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15188,"cached_input_tokens":12032,"output_tokens":358,"reasoning_output_tokens":284}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"fc\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY \"row_count\" DESC;","notes":"Counts rows for each distinct value of \"fc\" to examine subgroup count distribution and size stability."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10762, "bytes_utf8": 10762, "lines": 351, "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": 425, "bytes_utf8": 425, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15278, "cached_input_tokens": 12032, "output_tokens": 335, "reasoning_output_tokens": 223}}