Add files using upload-large-folder tool

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

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e5-77f4-7911-a2d0-841cde7b1605"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}}
+{"type":"turn.completed","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_112b1bcd95a29127/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10815, "bytes_utf8": 10815, "lines": 352, "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": 456, "bytes_utf8": 456, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15312, "cached_input_tokens": 12032, "output_tokens": 353, "reasoning_output_tokens": 221}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/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_112b1bcd95a29127",
+    "api_calls": 0,
+    "input_tokens": 15312,
+    "cached_input_tokens": 12032,
+    "output_tokens": 353,
+    "total_tokens": 15665,
+    "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": 16717.46,
+    "sql_execution_elapsed_ms_total": 1.6,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/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_112b1bcd95a29127/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": "2026-05-19T15:42:22.738265+00:00",
+  "ended_at": "2026-05-19T15:42:39.455765+00:00",
+  "elapsed_ms": 16717.46,
+  "prompt_metrics": {
+    "chars": 10815,
+    "bytes_utf8": 10815,
+    "lines": 352,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1493,
+    "bytes_utf8": 1493,
+    "lines": 6,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 456,
+      "bytes_utf8": 456,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15312,
+      "cached_input_tokens": 12032,
+      "output_tokens": 353,
+      "reasoning_output_tokens": 221
+    }
+  },
+  "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_112b1bcd95a29127/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,352 @@
+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_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=four_g, group_col_2=talk_time.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "four_g",
+    "group_col_2": "talk_time",
+    "predicate_col": "ram",
+    "predicate_op": ">=",
+    "predicate_value": 3064.5,
+    "top_k": 10,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 2.25,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,6 @@
+{"type":"thread.started","thread_id":"019e40e7-0725-70c0-807f-d24a76d37492"}
+{"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 1996226, Requested 15947. Please try again in 365ms. 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 15947. Please try again in 478ms. 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_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"talk_time\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"ram\\\" AS REAL) >= 3064.5\\nGROUP BY \\\"four_g\\\", \\\"talk_time\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered 2D group-count template with \\\"four_g\\\" and \\\"talk_time\\\" as grouping columns and filtered on \\\"ram\\\" >= 3064.5. Cast \\\"ram\\\" to REAL because the schema stores numeric-looking fields as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15312,"cached_input_tokens":12032,"output_tokens":353,"reasoning_output_tokens":221}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"four_g\", \"talk_time\", COUNT(*) AS row_count\nFROM \"m10\"\nWHERE CAST(\"ram\" AS REAL) >= 3064.5\nGROUP BY \"four_g\", \"talk_time\"\nORDER BY row_count DESC;","notes":"Used the planned filtered 2D group-count template with \"four_g\" and \"talk_time\" as grouping columns and filtered on \"ram\" >= 3064.5. Cast \"ram\" to REAL because the schema stores numeric-looking fields as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10925, "bytes_utf8": 10925, "lines": 350, "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": 610, "bytes_utf8": 610, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15336, "cached_input_tokens": 14720, "output_tokens": 626, "reasoning_output_tokens": 451}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/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_2da3525b24714e94",
+    "api_calls": 0,
+    "input_tokens": 15336,
+    "cached_input_tokens": 14720,
+    "output_tokens": 626,
+    "total_tokens": 15962,
+    "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": 15512.17,
+    "sql_execution_elapsed_ms_total": 11.36,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/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_2da3525b24714e94/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": "2026-05-19T15:34:51.241706+00:00",
+  "ended_at": "2026-05-19T15:35:06.753913+00:00",
+  "elapsed_ms": 15512.17,
+  "prompt_metrics": {
+    "chars": 10925,
+    "bytes_utf8": 10925,
+    "lines": 350,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 997,
+    "bytes_utf8": 997,
+    "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": 610,
+      "bytes_utf8": 610,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15336,
+      "cached_input_tokens": 14720,
+      "output_tokens": 626,
+      "reasoning_output_tokens": 451
+    }
+  },
+  "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_2da3525b24714e94/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,350 @@
+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_tpcds_within_group_share",
+    "template_name": "Within-Group Share of Total",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
+    "required_roles": [
+      "group_col",
+      "item_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=three_g, measure_col=talk_time.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "three_g",
+    "measure_col": "talk_time",
+    "item_col": "battery_power",
+    "top_k": 11,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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 {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e0-2380-7e20-aa65-f3fb2dddc4fb"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"three_g\\\",\\n  \\\"battery_power\\\",\\n  SUM(CAST(\\\"talk_time\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"talk_time\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"talk_time\\\" AS REAL))) OVER (PARTITION BY \\\"three_g\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"three_g\\\", \\\"battery_power\\\"\\nORDER BY share_within_group DESC\\nLIMIT 11;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"three_g\\\", item_col=\\\"battery_power\\\", and measure_col=\\\"talk_time\\\". Cast \\\"talk_time\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15336,"cached_input_tokens":14720,"output_tokens":626,"reasoning_output_tokens":451}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"three_g\",\n  \"battery_power\",\n  SUM(CAST(\"talk_time\" AS REAL)) AS total_measure,\n  SUM(CAST(\"talk_time\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"talk_time\" AS REAL))) OVER (PARTITION BY \"three_g\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"three_g\", \"battery_power\"\nORDER BY share_within_group DESC\nLIMIT 11;","notes":"Applied the Within-Group Share of Total template with group_col=\"three_g\", item_col=\"battery_power\", and measure_col=\"talk_time\". Cast \"talk_time\" to REAL because the SQLite schema stores it as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10499, "bytes_utf8": 10499, "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": 326, "bytes_utf8": 326, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15228, "cached_input_tokens": 14720, "output_tokens": 235, "reasoning_output_tokens": 138}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/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_30b36c86194f4dd3",
+    "api_calls": 0,
+    "input_tokens": 15228,
+    "cached_input_tokens": 14720,
+    "output_tokens": 235,
+    "total_tokens": 15463,
+    "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": 7332.66,
+    "sql_execution_elapsed_ms_total": 0.87,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/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_30b36c86194f4dd3/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:04:04.730364+00:00",
+  "ended_at": "2026-05-19T16:04:12.063058+00:00",
+  "elapsed_ms": 7332.66,
+  "prompt_metrics": {
+    "chars": 10499,
+    "bytes_utf8": 10499,
+    "lines": 346,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 691,
+    "bytes_utf8": 691,
+    "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": 326,
+      "bytes_utf8": 326,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15228,
+      "cached_input_tokens": 14720,
+      "output_tokens": 235,
+      "reasoning_output_tokens": 138
+    }
+  },
+  "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_30b36c86194f4dd3/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_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=dual_sim.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "dual_sim",
+    "top_k": 12,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 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\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fa-e50c-7730-a12c-900eb8f9239e"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"dual_sim\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY \\\"support\\\" ASC, \\\"dual_sim\\\"\\nLIMIT 12;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"dual_sim\\\" on the single table \\\"m10\\\".\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15228,"cached_input_tokens":14720,"output_tokens":235,"reasoning_output_tokens":138}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"dual_sim\",\n    COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"dual_sim\"\nORDER BY \"support\" ASC, \"dual_sim\"\nLIMIT 12;","notes":"Applied the Low-Support Group Count template with group_col bound to \"dual_sim\" on the single table \"m10\"."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10495, "bytes_utf8": 10495, "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": 305, "bytes_utf8": 305, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15226, "cached_input_tokens": 14720, "output_tokens": 279, "reasoning_output_tokens": 186}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/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_51813e02aa4e63fc",
+    "api_calls": 0,
+    "input_tokens": 15226,
+    "cached_input_tokens": 14720,
+    "output_tokens": 279,
+    "total_tokens": 15505,
+    "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": 7576.53,
+    "sql_execution_elapsed_ms_total": 1.08,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/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_51813e02aa4e63fc/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:05:19.594082+00:00",
+  "ended_at": "2026-05-19T16:05:27.170643+00:00",
+  "elapsed_ms": 7576.53,
+  "prompt_metrics": {
+    "chars": 10495,
+    "bytes_utf8": 10495,
+    "lines": 346,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 666,
+    "bytes_utf8": 666,
+    "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": 305,
+      "bytes_utf8": 305,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15226,
+      "cached_input_tokens": 14720,
+      "output_tokens": 279,
+      "reasoning_output_tokens": 186
+    }
+  },
+  "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_51813e02aa4e63fc/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_tail_low_support_group_count_v2",
+    "template_name": "Low-Support Group Count",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=m_dep.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "m_dep",
+    "top_k": 15,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 2.25,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-097e-7863-a98a-8460908f27fb"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n    \\\"m_dep\\\",\\n    COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"m_dep\\\"\\nORDER BY \\\"support\\\" ASC, \\\"m_dep\\\"\\nLIMIT 15;\",\"notes\":\"Applied the Low-Support Group Count template on \\\"m_dep\\\" to return the 15 least-supported groups.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15226,"cached_input_tokens":14720,"output_tokens":279,"reasoning_output_tokens":186}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n    \"m_dep\",\n    COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"m_dep\"\nORDER BY \"support\" ASC, \"m_dep\"\nLIMIT 15;","notes":"Applied the Low-Support Group Count template on \"m_dep\" to return the 15 least-supported groups."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/conversation.jsonl

@@ -0,0 +1,4 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10697, "bytes_utf8": 10697, "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": 10697, "bytes_utf8": 10697, "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": 989, "bytes_utf8": 989, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 1490, "reasoning_output_tokens": 1210}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/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": "2026-05-19T15:56:42.898913+00:00",
+  "ended_at": "2026-05-19T15:56:46.178965+00:00",
+  "elapsed_ms": 3280.01,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 10697,
+    "bytes_utf8": 10697,
+    "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_592a6649490be35d/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": "2026-05-19T15:56:47.181827+00:00",
+  "ended_at": "2026-05-19T15:57:12.023745+00:00",
+  "elapsed_ms": 24841.86,
+  "prompt_metrics": {
+    "chars": 10697,
+    "bytes_utf8": 10697,
+    "lines": 348,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1421,
+    "bytes_utf8": 1421,
+    "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": 989,
+      "bytes_utf8": 989,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15255,
+      "cached_input_tokens": 14720,
+      "output_tokens": 1490,
+      "reasoning_output_tokens": 1210
+    }
+  },
+  "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_592a6649490be35d/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=clock_speed, measure_col=px_height.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "clock_speed",
+    "measure_col": "px_height",
+    "top_k": 11,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 947.25,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\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_592a6649490be35d/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f4-272a-76f0-8e4f-36baa800d129"}
+{"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_592a6649490be35d/cli/sql_response_attempt_2.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n  SELECT\n    \"clock_speed\",\n    CAST(\"px_height\" AS REAL) AS \"measure_val\",\n    ROW_NUMBER() OVER (\n      PARTITION BY \"clock_speed\"\n      ORDER BY CAST(\"px_height\" AS REAL)\n    ) AS \"rn_asc\",\n    COUNT(*) OVER (PARTITION BY \"clock_speed\") AS \"cnt\"\n  FROM \"m10\"\n  WHERE \"clock_speed\" IS NOT NULL\n    AND \"px_height\" IS NOT NULL\n)\nSELECT\n  \"clock_speed\",\n  MIN(CASE WHEN \"rn_asc\" >= 0.9 * \"cnt\" THEN \"measure_val\" END) AS \"percentile_measure\"\nFROM \"ranked\"\nGROUP BY \"clock_speed\"\nHAVING COUNT(*) >= 5\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per clock_speed group by selecting the first ordered px_height where row_number/count >= 0.9. \"px_height\" is cast from TEXT to REAL, and groups with fewer than 5 rows are excluded using the provided min_group_size binding."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10763, "bytes_utf8": 10763, "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": 433, "bytes_utf8": 433, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15279, "cached_input_tokens": 14720, "output_tokens": 330, "reasoning_output_tokens": 213}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/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_6181cadb1490d3f9",
+    "api_calls": 0,
+    "input_tokens": 15279,
+    "cached_input_tokens": 14720,
+    "output_tokens": 330,
+    "total_tokens": 15609,
+    "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": 8957.68,
+    "sql_execution_elapsed_ms_total": 1.29,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/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_6181cadb1490d3f9/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:59:26.309537+00:00",
+  "ended_at": "2026-05-19T15:59:35.267247+00:00",
+  "elapsed_ms": 8957.68,
+  "prompt_metrics": {
+    "chars": 10763,
+    "bytes_utf8": 10763,
+    "lines": 351,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 788,
+    "bytes_utf8": 788,
+    "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": 433,
+      "bytes_utf8": 433,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15279,
+      "cached_input_tokens": 14720,
+      "output_tokens": 330,
+      "reasoning_output_tokens": 213
+    }
+  },
+  "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_6181cadb1490d3f9/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_condition_rate",
+    "template_name": "Grouped Condition Rate",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=n_cores, condition_col=touch_screen.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "n_cores",
+    "condition_col": "touch_screen",
+    "condition_value": "0",
+    "positive_value": "1",
+    "negative_value": "0",
+    "top_k": 16,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 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 {group_col},\n       AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f6-a576-7302-8f11-035a257cfef4"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"n_cores\\\",\\n       AVG(CASE WHEN \\\"touch_screen\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"n_cores\\\" and condition_col=\\\"touch_screen\\\", treating the bound condition_value as the text literal '0' to match the SQLite schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15279,"cached_input_tokens":14720,"output_tokens":330,"reasoning_output_tokens":213}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"n_cores\",\n       AVG(CASE WHEN \"touch_screen\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"n_cores\"\nORDER BY condition_rate DESC;","notes":"Uses the provided Grouped Condition Rate template with group_col=\"n_cores\" and condition_col=\"touch_screen\", treating the bound condition_value as the text literal '0' to match the SQLite schema."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10684, "bytes_utf8": 10684, "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": 1489, "bytes_utf8": 1489, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 2907, "reasoning_output_tokens": 2382}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11053, "bytes_utf8": 11053, "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": 632, "bytes_utf8": 632, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15354, "cached_input_tokens": 14720, "output_tokens": 339, "reasoning_output_tokens": 169}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/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_9d35778f68d7ac68",
+    "api_calls": 0,
+    "input_tokens": 15354,
+    "cached_input_tokens": 14720,
+    "output_tokens": 339,
+    "total_tokens": 15693,
+    "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": 8239.05,
+    "sql_execution_elapsed_ms_total": 1.28,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/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_9d35778f68d7ac68/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": "2026-05-19T15:48:42.007272+00:00",
+  "ended_at": "2026-05-19T15:48:50.246366+00:00",
+  "elapsed_ms": 8239.05,
+  "prompt_metrics": {
+    "chars": 11053,
+    "bytes_utf8": 11053,
+    "lines": 348,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1003,
+    "bytes_utf8": 1003,
+    "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": 632,
+      "bytes_utf8": 632,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15354,
+      "cached_input_tokens": 14720,
+      "output_tokens": 339,
+      "reasoning_output_tokens": 169
+    }
+  },
+  "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_9d35778f68d7ac68/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_tpch_relative_total_threshold",
+    "template_name": "Relative-to-Total Extreme Threshold",
+    "primary_family": "tail_rarity_structure",
+    "portability": "partial",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m10",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=four_g, measure_col=ram.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "four_g",
+    "measure_col": "ram",
+    "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": 3064.5,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ec-d097-7353-a9e5-8d593b355706"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n    SELECT \\\"four_g\\\", SUM(CAST(\\\"ram\\\" AS REAL)) AS group_value\\n    FROM \\\"m10\\\"\\n    GROUP BY \\\"four_g\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"four_g\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"four_g\\\" and measure_col=\\\"ram\\\". CAST(\\\"ram\\\" AS REAL) is applied because the schema stores numeric-looking values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15354,"cached_input_tokens":14720,"output_tokens":339,"reasoning_output_tokens":169}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"four_g\", SUM(CAST(\"ram\" AS REAL)) AS group_value\n    FROM \"m10\"\n    GROUP BY \"four_g\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"four_g\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the planned Relative-to-Total Extreme Threshold template with group_col=\"four_g\" and measure_col=\"ram\". CAST(\"ram\" AS REAL) is applied because the schema stores numeric-looking values as TEXT."}