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Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7531, "bytes_utf8": 7531, "lines": 218, "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": 645, "bytes_utf8": 645, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14332, "cached_input_tokens": 12032, "output_tokens": 1028, "reasoning_output_tokens": 844}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_006d375b4014eeaf",
+    "api_calls": 0,
+    "input_tokens": 14332,
+    "cached_input_tokens": 12032,
+    "output_tokens": 1028,
+    "total_tokens": 15360,
+    "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": 21781.23,
+    "sql_execution_elapsed_ms_total": 26.54,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:33:59.000204+00:00",
+  "ended_at": "2026-05-19T15:34:20.781458+00:00",
+  "elapsed_ms": 21781.23,
+  "prompt_metrics": {
+    "chars": 7531,
+    "bytes_utf8": 7531,
+    "lines": 218,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1047,
+    "bytes_utf8": 1047,
+    "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": 645,
+      "bytes_utf8": 645,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14332,
+      "cached_input_tokens": 12032,
+      "output_tokens": 1028,
+      "reasoning_output_tokens": 844
+    }
+  },
+  "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_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,218 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+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": "c9",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ACTION, measure_col=RESOURCE.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "ACTION",
+    "measure_col": "RESOURCE",
+    "item_col": "ROLE_FAMILY",
+    "top_k": 14,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 74189.0,
+    "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_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40df-575a-7410-9b92-99ecac3222a6"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"ACTION\\\",\\n  \\\"ROLE_FAMILY\\\",\\n  SUM(CAST(\\\"RESOURCE\\\" AS REAL)) AS \\\"total_measure\\\",\\n  SUM(CAST(\\\"RESOURCE\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"RESOURCE\\\" AS REAL))) OVER (PARTITION BY \\\"ACTION\\\") AS \\\"share_within_group\\\"\\nFROM \\\"c9\\\"\\nGROUP BY\\n  \\\"ACTION\\\",\\n  \\\"ROLE_FAMILY\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"ACTION\\\", item_col=\\\"ROLE_FAMILY\\\", and measure_col=\\\"RESOURCE\\\". Cast \\\"RESOURCE\\\" from TEXT to REAL for SQLite aggregation and used LIMIT 14 from the provided binding.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14332,"cached_input_tokens":12032,"output_tokens":1028,"reasoning_output_tokens":844}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_006d375b4014eeaf/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"ACTION\",\n  \"ROLE_FAMILY\",\n  SUM(CAST(\"RESOURCE\" AS REAL)) AS \"total_measure\",\n  SUM(CAST(\"RESOURCE\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"RESOURCE\" AS REAL))) OVER (PARTITION BY \"ACTION\") AS \"share_within_group\"\nFROM \"c9\"\nGROUP BY\n  \"ACTION\",\n  \"ROLE_FAMILY\"\nORDER BY \"share_within_group\" DESC\nLIMIT 14;","notes":"Applied the Within-Group Share of Total template with group_col=\"ACTION\", item_col=\"ROLE_FAMILY\", and measure_col=\"RESOURCE\". Cast \"RESOURCE\" from TEXT to REAL for SQLite aggregation and used LIMIT 14 from the provided binding."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7698, "bytes_utf8": 7698, "lines": 216, "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": 908, "bytes_utf8": 908, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14366, "cached_input_tokens": 13696, "output_tokens": 801, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_07c51571425e5c0e",
+    "api_calls": 0,
+    "input_tokens": 14366,
+    "cached_input_tokens": 13696,
+    "output_tokens": 801,
+    "total_tokens": 15167,
+    "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": 15017.45,
+    "sql_execution_elapsed_ms_total": 21.49,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/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": "2026-05-19T15:48:33.548048+00:00",
+  "ended_at": "2026-05-19T15:48:48.565520+00:00",
+  "elapsed_ms": 15017.45,
+  "prompt_metrics": {
+    "chars": 7698,
+    "bytes_utf8": 7698,
+    "lines": 216,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1340,
+    "bytes_utf8": 1340,
+    "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": 908,
+      "bytes_utf8": 908,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14366,
+      "cached_input_tokens": 13696,
+      "output_tokens": 801,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,216 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+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": "c9",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=ROLE_DEPTNAME, measure_col=ROLE_ROLLUP_2.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "ROLE_DEPTNAME",
+    "measure_col": "ROLE_ROLLUP_2",
+    "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": 118386.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col}, SUM({measure_col}) AS group_value\n    FROM {table}\n    GROUP BY {group_col}\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ec-af9b-7ad0-9692-ae8d98da0a24"}
+{"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\\n    \\\"ROLE_DEPTNAME\\\",\\n    SUM(CAST(\\\"ROLE_ROLLUP_2\\\" AS REAL)) AS \\\"group_value\\\"\\n  FROM \\\"c9\\\"\\n  WHERE \\\"ROLE_DEPTNAME\\\" IS NOT NULL\\n    AND \\\"ROLE_DEPTNAME\\\" <> ''\\n    AND \\\"ROLE_ROLLUP_2\\\" IS NOT NULL\\n    AND \\\"ROLE_ROLLUP_2\\\" <> ''\\n  GROUP BY \\\"ROLE_DEPTNAME\\\"\\n),\\n\\\"total\\\" AS (\\n  SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n  FROM \\\"grouped\\\"\\n)\\nSELECT\\n  g.\\\"ROLE_DEPTNAME\\\",\\n  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\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=ROLE_DEPTNAME and measure_col=ROLE_ROLLUP_2. Casted ROLE_ROLLUP_2 to REAL because the schema stores it as TEXT, and filtered null/empty values for a stable grouped view.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14366,"cached_input_tokens":13696,"output_tokens":801,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_07c51571425e5c0e/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n  SELECT\n    \"ROLE_DEPTNAME\",\n    SUM(CAST(\"ROLE_ROLLUP_2\" AS REAL)) AS \"group_value\"\n  FROM \"c9\"\n  WHERE \"ROLE_DEPTNAME\" IS NOT NULL\n    AND \"ROLE_DEPTNAME\" <> ''\n    AND \"ROLE_ROLLUP_2\" IS NOT NULL\n    AND \"ROLE_ROLLUP_2\" <> ''\n  GROUP BY \"ROLE_DEPTNAME\"\n),\n\"total\" AS (\n  SELECT SUM(\"group_value\") AS \"total_value\"\n  FROM \"grouped\"\n)\nSELECT\n  g.\"ROLE_DEPTNAME\",\n  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":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=ROLE_DEPTNAME and measure_col=ROLE_ROLLUP_2. Casted ROLE_ROLLUP_2 to REAL because the schema stores it as TEXT, and filtered null/empty values for a stable grouped view."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7128, "bytes_utf8": 7128, "lines": 216, "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": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14216, "cached_input_tokens": 12288, "output_tokens": 341, "reasoning_output_tokens": 238}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_0b62fad73e518356",
+    "api_calls": 0,
+    "input_tokens": 14216,
+    "cached_input_tokens": 12288,
+    "output_tokens": 341,
+    "total_tokens": 14557,
+    "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": 17257.55,
+    "sql_execution_elapsed_ms_total": 18.55,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/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": "2026-05-19T15:30:03.004626+00:00",
+  "ended_at": "2026-05-19T15:30:20.262203+00:00",
+  "elapsed_ms": 17257.55,
+  "prompt_metrics": {
+    "chars": 7128,
+    "bytes_utf8": 7128,
+    "lines": 216,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1072,
+    "bytes_utf8": 1072,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 377,
+      "bytes_utf8": 377,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14216,
+      "cached_input_tokens": 12288,
+      "output_tokens": 341,
+      "reasoning_output_tokens": 238
+    }
+  },
+  "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_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,216 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ROLE_CODE, measure_col=ROLE_TITLE.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "ROLE_CODE",
+    "measure_col": "ROLE_TITLE",
+    "top_k": 10,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 120006.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40db-bd72-7c91-9376-d0560af4a940"}
+{"type":"turn.started"}
+{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 14851. Please try again in 445ms. 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_h2o_group_sum\\nSELECT \\\"ROLE_CODE\\\", SUM(CAST(\\\"ROLE_TITLE\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_CODE\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"ROLE_CODE\\\" and measure_col=\\\"ROLE_TITLE\\\". CAST was added because the schema stores these fields as TEXT in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14216,"cached_input_tokens":12288,"output_tokens":341,"reasoning_output_tokens":238}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_0b62fad73e518356/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"ROLE_CODE\", SUM(CAST(\"ROLE_TITLE\" AS NUMERIC)) AS \"total_measure\"\nFROM \"c9\"\nGROUP BY \"ROLE_CODE\"\nORDER BY \"total_measure\" DESC;","notes":"Used the planned grouped-sum template with group_col=\"ROLE_CODE\" and measure_col=\"ROLE_TITLE\". CAST was added because the schema stores these fields as TEXT in SQLite."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:08:28.193095+00:00",
+  "ended_at": "2026-05-19T16:08:31.255737+00:00",
+  "elapsed_ms": 3062.62,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7124,
+    "bytes_utf8": 7124,
+    "lines": 214,
+    "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_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_attempt_2.metadata.json

@@ -0,0 +1,43 @@
+{
+  "attempt": 2,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T16:08:32.257414+00:00",
+  "ended_at": "2026-05-19T16:08:36.290177+00:00",
+  "elapsed_ms": 4032.73,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 7124,
+    "bytes_utf8": 7124,
+    "lines": 214,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,214 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+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": "c9",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ROLE_ROLLUP_1.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "ROLE_ROLLUP_1",
+    "top_k": 17,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 119348.0,
+    "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_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,214 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+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": "c9",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=ROLE_ROLLUP_1.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "ROLE_ROLLUP_1",
+    "top_k": 17,
+    "top_n": 7,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 119348.0,
+    "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_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-ea1d-78f2-9644-5c0a1f85fc98"}
+{"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_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-ea1d-78f2-9644-5c0a1f85fc98"}
+{"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_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-f9ee-7df1-b855-8e095c2f9de6"}
+{"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_c/c9/artifacts/v2q_c9_1c6ac6ebd6729fd9/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fe-f9ee-7df1-b855-8e095c2f9de6"}
+{"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_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7059, "bytes_utf8": 7059, "lines": 214, "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": 390, "bytes_utf8": 390, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14203, "cached_input_tokens": 12032, "output_tokens": 275, "reasoning_output_tokens": 168}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_26e423bfffd401d9",
+    "api_calls": 0,
+    "input_tokens": 14203,
+    "cached_input_tokens": 12032,
+    "output_tokens": 275,
+    "total_tokens": 14478,
+    "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": 9766.83,
+    "sql_execution_elapsed_ms_total": 4.91,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/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": "2026-05-19T16:05:37.724608+00:00",
+  "ended_at": "2026-05-19T16:05:47.491469+00:00",
+  "elapsed_ms": 9766.83,
+  "prompt_metrics": {
+    "chars": 7059,
+    "bytes_utf8": 7059,
+    "lines": 214,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 734,
+    "bytes_utf8": 734,
+    "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": 390,
+      "bytes_utf8": 390,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14203,
+      "cached_input_tokens": 12032,
+      "output_tokens": 275,
+      "reasoning_output_tokens": 168
+    }
+  },
+  "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_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,214 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_threshold_rarity_cdf",
+    "template_name": "Threshold Rarity CDF",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};",
+    "required_roles": [
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c9",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=RESOURCE.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "RESOURCE",
+    "top_k": 12,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 74189.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-5056-7e02-b7ec-be13ce5db90b"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"RESOURCE\\\" AS REAL) <= 74189.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"c9\\\";\",\"notes\":\"Used the required Threshold Rarity CDF template with measure_col bound to \\\"RESOURCE\\\" and threshold fixed at 74189.0. CAST to REAL is included because the schema snapshot shows \\\"RESOURCE\\\" stored as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14203,"cached_input_tokens":12032,"output_tokens":275,"reasoning_output_tokens":168}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_26e423bfffd401d9/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"RESOURCE\" AS REAL) <= 74189.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"c9\";","notes":"Used the required Threshold Rarity CDF template with measure_col bound to \"RESOURCE\" and threshold fixed at 74189.0. CAST to REAL is included because the schema snapshot shows \"RESOURCE\" stored as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7544, "bytes_utf8": 7544, "lines": 218, "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": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14341, "cached_input_tokens": 12032, "output_tokens": 708, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_2aece76591d0566a",
+    "api_calls": 0,
+    "input_tokens": 14341,
+    "cached_input_tokens": 12032,
+    "output_tokens": 708,
+    "total_tokens": 15049,
+    "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": 18556.52,
+    "sql_execution_elapsed_ms_total": 42.69,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/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": "2026-05-19T15:39:11.241864+00:00",
+  "ended_at": "2026-05-19T15:39:29.798409+00:00",
+  "elapsed_ms": 18556.52,
+  "prompt_metrics": {
+    "chars": 7544,
+    "bytes_utf8": 7544,
+    "lines": 218,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1349,
+    "bytes_utf8": 1349,
+    "lines": 5,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 630,
+      "bytes_utf8": 630,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14341,
+      "cached_input_tokens": 12032,
+      "output_tokens": 708,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,218 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+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": "c9",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=ROLE_DEPTNAME, measure_col=MGR_ID.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "ROLE_DEPTNAME",
+    "measure_col": "MGR_ID",
+    "item_col": "ROLE_FAMILY",
+    "top_k": 18,
+    "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": 20807.92,
+    "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_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e4-1b1b-7322-bea1-7827d5df80c2"}
+{"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 1990411, Requested 14976. Please try again in 161ms. 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_tpcds_within_group_share\\nSELECT\\n  \\\"ROLE_DEPTNAME\\\",\\n  \\\"ROLE_FAMILY\\\",\\n  SUM(CAST(\\\"MGR_ID\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"MGR_ID\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"MGR_ID\\\" AS REAL))) OVER (PARTITION BY \\\"ROLE_DEPTNAME\\\") AS share_within_group\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_DEPTNAME\\\", \\\"ROLE_FAMILY\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the requested Within-Group Share of Total template with group_col=\\\"ROLE_DEPTNAME\\\", item_col=\\\"ROLE_FAMILY\\\", and measure_col=\\\"MGR_ID\\\". Because \\\"MGR_ID\\\" is stored as TEXT in SQLite, it is cast to REAL before aggregation.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14341,"cached_input_tokens":12032,"output_tokens":708,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_2aece76591d0566a/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"ROLE_DEPTNAME\",\n  \"ROLE_FAMILY\",\n  SUM(CAST(\"MGR_ID\" AS REAL)) AS total_measure,\n  SUM(CAST(\"MGR_ID\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"MGR_ID\" AS REAL))) OVER (PARTITION BY \"ROLE_DEPTNAME\") AS share_within_group\nFROM \"c9\"\nGROUP BY \"ROLE_DEPTNAME\", \"ROLE_FAMILY\"\nORDER BY share_within_group DESC;","notes":"Applied the requested Within-Group Share of Total template with group_col=\"ROLE_DEPTNAME\", item_col=\"ROLE_FAMILY\", and measure_col=\"MGR_ID\". Because \"MGR_ID\" is stored as TEXT in SQLite, it is cast to REAL before aggregation."}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 7132, "bytes_utf8": 7132, "lines": 216, "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": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14222, "cached_input_tokens": 12032, "output_tokens": 631, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/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": "c9",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c9_3b48e5ab5a2dfa21",
+    "api_calls": 0,
+    "input_tokens": 14222,
+    "cached_input_tokens": 12032,
+    "output_tokens": 631,
+    "total_tokens": 14853,
+    "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": 14840.65,
+    "sql_execution_elapsed_ms_total": 17.27,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/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": "2026-05-19T15:31:49.752554+00:00",
+  "ended_at": "2026-05-19T15:32:04.593234+00:00",
+  "elapsed_ms": 14840.65,
+  "prompt_metrics": {
+    "chars": 7132,
+    "bytes_utf8": 7132,
+    "lines": 216,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 752,
+    "bytes_utf8": 752,
+    "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": 386,
+      "bytes_utf8": 386,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14222,
+      "cached_input_tokens": 12032,
+      "output_tokens": 631,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,216 @@
+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: c9
+- dataset_name: Amazon Employee Access Challenge
+- table_name: c9
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 9 feature columns and target `ROLE_FAMILY`.
+- task_type: regression
+- target_column: ROLE_FAMILY
+- main_row_count: 32769
+- important_fields:
+- ACTION: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for ACTION.
+- RESOURCE: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for RESOURCE.
+- MGR_ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MGR ID.
+- ROLE_ROLLUP_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 1.
+- ROLE_ROLLUP_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for ROLE ROLLUP 2.
+- ROLE_DEPTNAME: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE DEPTNAME.
+- ROLE_TITLE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE TITLE.
+- ROLE_FAMILY_DESC: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE FAMILY DESC.
+- ROLE_FAMILY: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for ROLE FAMILY.
+- ROLE_CODE: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ROLE CODE.
+- useful_field_combinations: [['ACTION', 'ROLE_ROLLUP_1', 'ROLE_FAMILY'], ['ACTION', 'RESOURCE', 'ROLE_FAMILY'], ['ACTION', 'ACTION', 'ROLE_FAMILY']]
+- fields_requiring_caution: ['ROLE_FAMILY', 'RESOURCE', 'ROLE_DEPTNAME', 'ROLE_TITLE']
+- source_url: https://www.kaggle.com/c/amazon-employee-access-challenge
+
+SQLite schema snapshot:
+{
+  "table_name": "c9",
+  "quoted_table_name": "\"c9\"",
+  "row_count": 32769,
+  "columns": [
+    {
+      "name": "ACTION",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "RESOURCE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "MGR_ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_1",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_ROLLUP_2",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_DEPTNAME",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_TITLE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY_DESC",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_FAMILY",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ROLE_CODE",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "ACTION": "1",
+      "RESOURCE": "39353",
+      "MGR_ID": "85475",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118300",
+      "ROLE_DEPTNAME": "123472",
+      "ROLE_TITLE": "117905",
+      "ROLE_FAMILY_DESC": "117906",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "117908"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "17183",
+      "MGR_ID": "1540",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "123125",
+      "ROLE_TITLE": "118536",
+      "ROLE_FAMILY_DESC": "118536",
+      "ROLE_FAMILY": "308574",
+      "ROLE_CODE": "118539"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36724",
+      "MGR_ID": "14457",
+      "ROLE_ROLLUP_1": "118219",
+      "ROLE_ROLLUP_2": "118220",
+      "ROLE_DEPTNAME": "117884",
+      "ROLE_TITLE": "117879",
+      "ROLE_FAMILY_DESC": "267952",
+      "ROLE_FAMILY": "19721",
+      "ROLE_CODE": "117880"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "36135",
+      "MGR_ID": "5396",
+      "ROLE_ROLLUP_1": "117961",
+      "ROLE_ROLLUP_2": "118343",
+      "ROLE_DEPTNAME": "119993",
+      "ROLE_TITLE": "118321",
+      "ROLE_FAMILY_DESC": "240983",
+      "ROLE_FAMILY": "290919",
+      "ROLE_CODE": "118322"
+    },
+    {
+      "ACTION": "1",
+      "RESOURCE": "42680",
+      "MGR_ID": "5905",
+      "ROLE_ROLLUP_1": "117929",
+      "ROLE_ROLLUP_2": "117930",
+      "ROLE_DEPTNAME": "119569",
+      "ROLE_TITLE": "119323",
+      "ROLE_FAMILY_DESC": "123932",
+      "ROLE_FAMILY": "19793",
+      "ROLE_CODE": "119325"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_h2o_group_sum",
+    "template_name": "Grouped Numeric Sum",
+    "primary_family": "subgroup_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c9",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=ROLE_ROLLUP_2, measure_col=RESOURCE.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "ROLE_ROLLUP_2",
+    "measure_col": "RESOURCE",
+    "top_k": 13,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 74189.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_c/c9/artifacts/v2q_c9_3b48e5ab5a2dfa21/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40dd-5e69-7f21-90ff-d9f4364ed9d8"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"ROLE_ROLLUP_2\\\", SUM(CAST(\\\"RESOURCE\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"c9\\\"\\nGROUP BY \\\"ROLE_ROLLUP_2\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"ROLE_ROLLUP_2\\\" and measure_col=\\\"RESOURCE\\\". Cast \\\"RESOURCE\\\" to NUMERIC because the SQLite schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14222,"cached_input_tokens":12032,"output_tokens":631,"reasoning_output_tokens":516}}