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Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10331, "bytes_utf8": 10331, "lines": 310, "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": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14924, "cached_input_tokens": 12032, "output_tokens": 276, "reasoning_output_tokens": 170}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/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": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_0024a3b5c320e460",
+    "api_calls": 0,
+    "input_tokens": 14924,
+    "cached_input_tokens": 12032,
+    "output_tokens": 276,
+    "total_tokens": 15200,
+    "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": 8913.06,
+    "sql_execution_elapsed_ms_total": 2.41,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/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": "2026-05-19T16:02:44.675870+00:00",
+  "ended_at": "2026-05-19T16:02:53.588956+00:00",
+  "elapsed_ms": 8913.06,
+  "prompt_metrics": {
+    "chars": 10331,
+    "bytes_utf8": 10331,
+    "lines": 310,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 723,
+    "bytes_utf8": 723,
+    "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": 379,
+      "bytes_utf8": 379,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14924,
+      "cached_input_tokens": 12032,
+      "output_tokens": 276,
+      "reasoning_output_tokens": 170
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,310 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+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": "m6",
+  "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Browser.",
+  "planned_template_id": "tpl_threshold_rarity_cdf",
+  "bindings": {
+    "measure_col": "Browser",
+    "top_k": 14,
+    "top_n": 4,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 2.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f9-ac32-7ab3-891d-d9afdd9297c9"}
+{"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(\\\"Browser\\\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m6\\\";\",\"notes\":\"Applied the planned Threshold Rarity CDF template with measure_col bound to \\\"Browser\\\" and measure_threshold fixed at 2.0. CAST to REAL is used because the schema snapshot stores columns as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14924,"cached_input_tokens":12032,"output_tokens":276,"reasoning_output_tokens":170}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0024a3b5c320e460/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"Browser\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m6\";","notes":"Applied the planned Threshold Rarity CDF template with measure_col bound to \"Browser\" and measure_threshold fixed at 2.0. CAST to REAL is used because the schema snapshot stores columns as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10849, "bytes_utf8": 10849, "lines": 314, "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": 832, "bytes_utf8": 832, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15058, "cached_input_tokens": 12032, "output_tokens": 731, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/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": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_00387f4822336c98",
+    "api_calls": 0,
+    "input_tokens": 15058,
+    "cached_input_tokens": 12032,
+    "output_tokens": 731,
+    "total_tokens": 15789,
+    "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": 13369.4,
+    "sql_execution_elapsed_ms_total": 15.57,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/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": "2026-05-19T15:36:02.300792+00:00",
+  "ended_at": "2026-05-19T15:36:15.670256+00:00",
+  "elapsed_ms": 13369.4,
+  "prompt_metrics": {
+    "chars": 10849,
+    "bytes_utf8": 10849,
+    "lines": 314,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1222,
+    "bytes_utf8": 1222,
+    "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": 832,
+      "bytes_utf8": 832,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15058,
+      "cached_input_tokens": 12032,
+      "output_tokens": 731,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,314 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+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": "m6",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=TrafficType, measure_col=Administrative_Duration.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "TrafficType",
+    "measure_col": "Administrative_Duration",
+    "item_col": "ProductRelated",
+    "top_k": 14,
+    "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": 93.25625,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n       SUM({measure_col}) AS total_measure,\n       SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-390a-78e3-8a3a-d0953da6f00a"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"TrafficType\\\",\\n  \\\"ProductRelated\\\",\\n  SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"Administrative_Duration\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Administrative_Duration\\\" AS REAL))) OVER (PARTITION BY \\\"TrafficType\\\") AS share_within_group\\nFROM \\\"m6\\\"\\nWHERE \\\"TrafficType\\\" IS NOT NULL\\n  AND \\\"ProductRelated\\\" IS NOT NULL\\n  AND \\\"Administrative_Duration\\\" IS NOT NULL\\n  AND TRIM(\\\"Administrative_Duration\\\") <> ''\\nGROUP BY \\\"TrafficType\\\", \\\"ProductRelated\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=TrafficType, item_col=ProductRelated, and measure_col=Administrative_Duration. Cast Administrative_Duration to REAL because the schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15058,"cached_input_tokens":12032,"output_tokens":731,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_00387f4822336c98/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"TrafficType\",\n  \"ProductRelated\",\n  SUM(CAST(\"Administrative_Duration\" AS REAL)) AS total_measure,\n  SUM(CAST(\"Administrative_Duration\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Administrative_Duration\" AS REAL))) OVER (PARTITION BY \"TrafficType\") AS share_within_group\nFROM \"m6\"\nWHERE \"TrafficType\" IS NOT NULL\n  AND \"ProductRelated\" IS NOT NULL\n  AND \"Administrative_Duration\" IS NOT NULL\n  AND TRIM(\"Administrative_Duration\") <> ''\nGROUP BY \"TrafficType\", \"ProductRelated\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=TrafficType, item_col=ProductRelated, and measure_col=Administrative_Duration. Cast Administrative_Duration to REAL because the schema stores it as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10327, "bytes_utf8": 10327, "lines": 310, "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": 294, "bytes_utf8": 294, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 13696, "output_tokens": 429, "reasoning_output_tokens": 355}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/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": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_043a1c3efa7e0cbf",
+    "api_calls": 0,
+    "input_tokens": 14911,
+    "cached_input_tokens": 13696,
+    "output_tokens": 429,
+    "total_tokens": 15340,
+    "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": 10248.4,
+    "sql_execution_elapsed_ms_total": 5.12,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/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": "2026-05-19T15:32:40.165094+00:00",
+  "ended_at": "2026-05-19T15:32:50.413530+00:00",
+  "elapsed_ms": 10248.4,
+  "prompt_metrics": {
+    "chars": 10327,
+    "bytes_utf8": 10327,
+    "lines": 310,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 648,
+    "bytes_utf8": 648,
+    "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": 294,
+      "bytes_utf8": 294,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14911,
+      "cached_input_tokens": 13696,
+      "output_tokens": 429,
+      "reasoning_output_tokens": 355
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,310 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_clickbench_group_count",
+    "template_name": "Grouped Count by Category",
+    "primary_family": "subgroup_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m6",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=OperatingSystems.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "OperatingSystems",
+    "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": 93.25625,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40de-2379-7c12-a770-148612e9fb3d"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"OperatingSystems\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m6\\\"\\nGROUP BY \\\"OperatingSystems\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count by the bound category column \\\"OperatingSystems\\\" using the provided template skeleton.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14911,"cached_input_tokens":13696,"output_tokens":429,"reasoning_output_tokens":355}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_043a1c3efa7e0cbf/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"OperatingSystems\", COUNT(*) AS \"row_count\"\nFROM \"m6\"\nGROUP BY \"OperatingSystems\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count by the bound category column \"OperatingSystems\" using the provided template skeleton."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10960, "bytes_utf8": 10960, "lines": 312, "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": 660, "bytes_utf8": 660, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15075, "cached_input_tokens": 13696, "output_tokens": 552, "reasoning_output_tokens": 372}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/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": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_04f626ba2731ab5e",
+    "api_calls": 0,
+    "input_tokens": 15075,
+    "cached_input_tokens": 13696,
+    "output_tokens": 552,
+    "total_tokens": 15627,
+    "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": 14045.49,
+    "sql_execution_elapsed_ms_total": 7.01,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/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": "2026-05-19T15:47:49.756155+00:00",
+  "ended_at": "2026-05-19T15:48:03.801688+00:00",
+  "elapsed_ms": 14045.49,
+  "prompt_metrics": {
+    "chars": 10960,
+    "bytes_utf8": 10960,
+    "lines": 312,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1059,
+    "bytes_utf8": 1059,
+    "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": 660,
+      "bytes_utf8": 660,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15075,
+      "cached_input_tokens": 13696,
+      "output_tokens": 552,
+      "reasoning_output_tokens": 372
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,312 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+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": "m6",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=SpecialDay, measure_col=SpecialDay.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "SpecialDay",
+    "measure_col": "SpecialDay",
+    "top_k": 14,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 0.0,
+    "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_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ec-04f2-73b2-96aa-8be0730abc77"}
+{"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 \\\"SpecialDay\\\", SUM(CAST(\\\"SpecialDay\\\" AS REAL)) AS \\\"group_value\\\"\\n    FROM \\\"m6\\\"\\n    GROUP BY \\\"SpecialDay\\\"\\n), total AS (\\n    SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n    FROM grouped\\n)\\nSELECT g.\\\"SpecialDay\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the planned template with group_col=\\\"SpecialDay\\\" and measure_col=\\\"SpecialDay\\\". CAST(\\\"SpecialDay\\\" AS REAL) is applied because the schema stores numeric-looking values as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":15075,"cached_input_tokens":13696,"output_tokens":552,"reasoning_output_tokens":372}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_04f626ba2731ab5e/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"SpecialDay\", SUM(CAST(\"SpecialDay\" AS REAL)) AS \"group_value\"\n    FROM \"m6\"\n    GROUP BY \"SpecialDay\"\n), total AS (\n    SELECT SUM(\"group_value\") AS \"total_value\"\n    FROM grouped\n)\nSELECT g.\"SpecialDay\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Used the planned template with group_col=\"SpecialDay\" and measure_col=\"SpecialDay\". CAST(\"SpecialDay\" AS REAL) is applied because the schema stores numeric-looking values as TEXT."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/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": "2026-05-19T16:06:04.396684+00:00",
+  "ended_at": "2026-05-19T16:06:07.426552+00:00",
+  "elapsed_ms": 3029.83,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 10404,
+    "bytes_utf8": 10404,
+    "lines": 310,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/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": "2026-05-19T16:06:08.429175+00:00",
+  "ended_at": "2026-05-19T16:06:11.380513+00:00",
+  "elapsed_ms": 2951.28,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 10404,
+    "bytes_utf8": 10404,
+    "lines": 310,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 281,
+    "bytes_utf8": 281,
+    "lines": 4,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 280,
+      "bytes_utf8": 280,
+      "lines": 4,
+      "estimated_tokens": null
+    },
+    "usage": {}
+  },
+  "status": "failed",
+  "error": "AI CLI command failed with exit code 1: ",
+  "prompt_path": "cli/sql_prompt_attempt_2.txt",
+  "response_path": "cli/sql_response_attempt_2.txt",
+  "raw_response_path": "cli/sql_response_attempt_2.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_2.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,310 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+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": "m6",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=OperatingSystems.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "OperatingSystems",
+    "top_k": 15,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 4.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,310 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+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": "m6",
+  "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=OperatingSystems.",
+  "planned_template_id": "tpl_tail_low_support_group_count_v2",
+  "bindings": {
+    "group_col": "OperatingSystems",
+    "top_k": 15,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 4.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT\n    {group_col},\n    COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_1.raw.txt

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+{"type":"thread.started","thread_id":"019e40fc-b881-7673-9742-a4e0cf9eb2d3"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40fc-b881-7673-9742-a4e0cf9eb2d3"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_2.raw.txt

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+{"type":"thread.started","thread_id":"019e40fc-c849-7ca0-a934-99cf3cc04bea"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_06aba71eeaeedd92/cli/sql_response_attempt_2.txt

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+{"type":"thread.started","thread_id":"019e40fc-c849-7ca0-a934-99cf3cc04bea"}
+{"type":"turn.started"}
+{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
+{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10615, "bytes_utf8": 10615, "lines": 312, "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": 1699, "bytes_utf8": 1699, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14977, "cached_input_tokens": 13696, "output_tokens": 1050, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/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": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_075c9e92d86f2e7d",
+    "api_calls": 0,
+    "input_tokens": 14977,
+    "cached_input_tokens": 13696,
+    "output_tokens": 1050,
+    "total_tokens": 16027,
+    "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": 22685.82,
+    "sql_execution_elapsed_ms_total": 67.47,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/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": "2026-05-19T15:51:21.401139+00:00",
+  "ended_at": "2026-05-19T15:51:44.087043+00:00",
+  "elapsed_ms": 22685.82,
+  "prompt_metrics": {
+    "chars": 10615,
+    "bytes_utf8": 10615,
+    "lines": 312,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 2353,
+    "bytes_utf8": 2353,
+    "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": 1699,
+      "bytes_utf8": 1699,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14977,
+      "cached_input_tokens": 13696,
+      "output_tokens": 1050,
+      "reasoning_output_tokens": 516
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,312 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_grouped_percentile_point",
+    "template_name": "Grouped Percentile Point",
+    "primary_family": "tail_rarity_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m6",
+  "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=VisitorType, measure_col=Administrative_Duration.",
+  "planned_template_id": "tpl_grouped_percentile_point",
+  "bindings": {
+    "group_col": "VisitorType",
+    "measure_col": "Administrative_Duration",
+    "top_k": 15,
+    "top_n": 5,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 56.4,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col},\n       PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40ef-3f3e-75a3-b6a2-fa836ee75f50"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n  SELECT\\n    \\\"VisitorType\\\" AS \\\"group_col\\\",\\n    CAST(\\\"Administrative_Duration\\\" AS REAL) AS \\\"measure\\\"\\n  FROM \\\"m6\\\"\\n  WHERE \\\"VisitorType\\\" IS NOT NULL\\n    AND \\\"Administrative_Duration\\\" IS NOT NULL\\n    AND TRIM(\\\"Administrative_Duration\\\") <> ''\\n),\\n\\\"counts\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    COUNT(*) AS \\\"n\\\",\\n    (1.0 + 0.95 * (COUNT(*) - 1)) AS \\\"pos\\\"\\n  FROM \\\"base\\\"\\n  GROUP BY \\\"group_col\\\"\\n),\\n\\\"ranked\\\" AS (\\n  SELECT\\n    \\\"group_col\\\",\\n    \\\"measure\\\",\\n    ROW_NUMBER() OVER (PARTITION BY \\\"group_col\\\" ORDER BY \\\"measure\\\") AS \\\"rn\\\"\\n  FROM \\\"base\\\"\\n)\\nSELECT\\n  \\\"c\\\".\\\"group_col\\\" AS \\\"VisitorType\\\",\\n  CASE\\n    WHEN CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) = \\\"c\\\".\\\"pos\\\" THEN\\n      MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) THEN \\\"r\\\".\\\"measure\\\" END)\\n    ELSE\\n      (\\n        (CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) + 1 - \\\"c\\\".\\\"pos\\\") *\\n        MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) THEN \\\"r\\\".\\\"measure\\\" END)\\n      ) + (\\n        (\\\"c\\\".\\\"pos\\\" - CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER)) *\\n        MAX(CASE WHEN \\\"r\\\".\\\"rn\\\" = CAST(\\\"c\\\".\\\"pos\\\" AS INTEGER) + 1 THEN \\\"r\\\".\\\"measure\\\" END)\\n      )\\n  END AS \\\"percentile_measure\\\"\\nFROM \\\"counts\\\" AS \\\"c\\\"\\nJOIN \\\"ranked\\\" AS \\\"r\\\"\\n  ON \\\"r\\\".\\\"group_col\\\" = \\\"c\\\".\\\"group_col\\\"\\nGROUP BY \\\"c\\\".\\\"group_col\\\", \\\"c\\\".\\\"pos\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 95th percentile for each \\\"VisitorType\\\" group using window functions and linear interpolation over CAST(\\\"Administrative_Duration\\\" AS REAL).\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14977,"cached_input_tokens":13696,"output_tokens":1050,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_075c9e92d86f2e7d/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n  SELECT\n    \"VisitorType\" AS \"group_col\",\n    CAST(\"Administrative_Duration\" AS REAL) AS \"measure\"\n  FROM \"m6\"\n  WHERE \"VisitorType\" IS NOT NULL\n    AND \"Administrative_Duration\" IS NOT NULL\n    AND TRIM(\"Administrative_Duration\") <> ''\n),\n\"counts\" AS (\n  SELECT\n    \"group_col\",\n    COUNT(*) AS \"n\",\n    (1.0 + 0.95 * (COUNT(*) - 1)) AS \"pos\"\n  FROM \"base\"\n  GROUP BY \"group_col\"\n),\n\"ranked\" AS (\n  SELECT\n    \"group_col\",\n    \"measure\",\n    ROW_NUMBER() OVER (PARTITION BY \"group_col\" ORDER BY \"measure\") AS \"rn\"\n  FROM \"base\"\n)\nSELECT\n  \"c\".\"group_col\" AS \"VisitorType\",\n  CASE\n    WHEN CAST(\"c\".\"pos\" AS INTEGER) = \"c\".\"pos\" THEN\n      MAX(CASE WHEN \"r\".\"rn\" = CAST(\"c\".\"pos\" AS INTEGER) THEN \"r\".\"measure\" END)\n    ELSE\n      (\n        (CAST(\"c\".\"pos\" AS INTEGER) + 1 - \"c\".\"pos\") *\n        MAX(CASE WHEN \"r\".\"rn\" = CAST(\"c\".\"pos\" AS INTEGER) THEN \"r\".\"measure\" END)\n      ) + (\n        (\"c\".\"pos\" - CAST(\"c\".\"pos\" AS INTEGER)) *\n        MAX(CASE WHEN \"r\".\"rn\" = CAST(\"c\".\"pos\" AS INTEGER) + 1 THEN \"r\".\"measure\" END)\n      )\n  END AS \"percentile_measure\"\nFROM \"counts\" AS \"c\"\nJOIN \"ranked\" AS \"r\"\n  ON \"r\".\"group_col\" = \"c\".\"group_col\"\nGROUP BY \"c\".\"group_col\", \"c\".\"pos\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 95th percentile for each \"VisitorType\" group using window functions and linear interpolation over CAST(\"Administrative_Duration\" AS REAL)."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e1de2b9700436a0/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10408, "bytes_utf8": 10408, "lines": 312, "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": 407, "bytes_utf8": 407, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14937, "cached_input_tokens": 12032, "output_tokens": 273, "reasoning_output_tokens": 167}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11214, "bytes_utf8": 11214, "lines": 315, "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": 658, "bytes_utf8": 658, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15143, "cached_input_tokens": 13696, "output_tokens": 482, "reasoning_output_tokens": 301}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/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": "m6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_m6_0e2e66f862cc66c8",
+    "api_calls": 0,
+    "input_tokens": 15143,
+    "cached_input_tokens": 13696,
+    "output_tokens": 482,
+    "total_tokens": 15625,
+    "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": 19221.38,
+    "sql_execution_elapsed_ms_total": 8.78,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_attempt_1.metadata.json

@@ -0,0 +1,45 @@
+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-19T15:40:13.494816+00:00",
+  "ended_at": "2026-05-19T15:40:32.716226+00:00",
+  "elapsed_ms": 19221.38,
+  "prompt_metrics": {
+    "chars": 11214,
+    "bytes_utf8": 11214,
+    "lines": 315,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1693,
+    "bytes_utf8": 1693,
+    "lines": 6,
+    "estimated_tokens": null
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 658,
+      "bytes_utf8": 658,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 15143,
+      "cached_input_tokens": 13696,
+      "output_tokens": 482,
+      "reasoning_output_tokens": 301
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_0e2e66f862cc66c8/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,315 @@
+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: m6
+- dataset_name: Online Shoppers Purchasing Intention Dataset
+- table_name: m6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
+- task_type: classification
+- target_column: VisitorType
+- main_row_count: 12330
+- important_fields:
+- Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
+- Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
+- Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
+- Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
+- ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
+- ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
+- BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
+- ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
+- PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
+- SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
+- Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
+- OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
+- Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
+- Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
+- TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
+- VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
+- Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
+- Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
+- useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
+- fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
+- source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
+
+SQLite schema snapshot:
+{
+  "table_name": "m6",
+  "quoted_table_name": "\"m6\"",
+  "row_count": 12330,
+  "columns": [
+    {
+      "name": "Administrative",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Administrative_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Informational_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ProductRelated_Duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "BounceRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "ExitRates",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "PageValues",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "SpecialDay",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Month",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "OperatingSystems",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Browser",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Region",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "TrafficType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "VisitorType",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Weekend",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Revenue",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "1",
+      "Browser": "1",
+      "Region": "1",
+      "TrafficType": "1",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "64",
+      "BounceRates": "0",
+      "ExitRates": "0.1",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "2",
+      "Browser": "2",
+      "Region": "1",
+      "TrafficType": "2",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "1",
+      "ProductRelated_Duration": "0",
+      "BounceRates": "0.2",
+      "ExitRates": "0.2",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "4",
+      "Browser": "1",
+      "Region": "9",
+      "TrafficType": "3",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "2",
+      "ProductRelated_Duration": "2.666666667",
+      "BounceRates": "0.05",
+      "ExitRates": "0.14",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "2",
+      "Region": "2",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "FALSE",
+      "Revenue": "FALSE"
+    },
+    {
+      "Administrative": "0",
+      "Administrative_Duration": "0",
+      "Informational": "0",
+      "Informational_Duration": "0",
+      "ProductRelated": "10",
+      "ProductRelated_Duration": "627.5",
+      "BounceRates": "0.02",
+      "ExitRates": "0.05",
+      "PageValues": "0",
+      "SpecialDay": "0",
+      "Month": "Feb",
+      "OperatingSystems": "3",
+      "Browser": "3",
+      "Region": "1",
+      "TrafficType": "4",
+      "VisitorType": "Returning_Visitor",
+      "Weekend": "TRUE",
+      "Revenue": "FALSE"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_group_ratio_two_conditions",
+    "template_name": "Grouped Ratio of Two Conditions",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;",
+    "required_roles": [
+      "group_col",
+      "condition_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "m6",
+  "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Revenue, condition_col=Weekend.",
+  "planned_template_id": "tpl_m4_group_ratio_two_conditions",
+  "bindings": {
+    "group_col": "Revenue",
+    "condition_col": "Weekend",
+    "condition_value": "FALSE",
+    "positive_value": "FALSE",
+    "negative_value": "TRUE",
+    "top_k": 13,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 93.25625,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "WITH grouped AS (\n    SELECT {group_col},\n           SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n           SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n    FROM {table}\n    GROUP BY {group_col}\n)\nSELECT {group_col},\n       CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;"
+}
+
+Repair context:
+{}