Upload v2 subgroup/conditional repair SQL run and registry

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/conversation.jsonl

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+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6698, "bytes_utf8": 6698, "lines": 192, "estimated_tokens": 1754}}
+{"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": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": 97}, "usage": {"input_tokens": 25049, "cached_input_tokens": 3456, "output_tokens": 554, "reasoning_output_tokens": 451}}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/session_summary.json

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+{
+  "engine": "v2-cli:codex",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_2745294cbd314f00",
+    "api_calls": 0,
+    "input_tokens": 25049,
+    "cached_input_tokens": 3456,
+    "output_tokens": 554,
+    "total_tokens": 25603,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 1754,
+    "estimated_output_tokens": 97,
+    "estimated_total_tokens": 1851,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 15305.1,
+    "sql_execution_elapsed_ms_total": 14.04,
+    "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_attempt_1.metadata.json

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+{
+  "attempt": 1,
+  "phase": "sql_generation",
+  "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-26T00:08:10.014451+00:00",
+  "ended_at": "2026-05-26T00:08:25.319765+00:00",
+  "elapsed_ms": 15305.1,
+  "prompt_metrics": {
+    "chars": 6698,
+    "bytes_utf8": 6698,
+    "lines": 192,
+    "estimated_tokens": 1754
+  },
+  "stdout_metrics": {
+    "chars": 756,
+    "bytes_utf8": 756,
+    "lines": 4,
+    "estimated_tokens": 214
+  },
+  "stderr_metrics": {
+    "chars": 288,
+    "bytes_utf8": 288,
+    "lines": 1,
+    "estimated_tokens": 105
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 399,
+      "bytes_utf8": 399,
+      "lines": 1,
+      "estimated_tokens": 97
+    },
+    "usage": {
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+      "cached_input_tokens": 3456,
+      "output_tokens": 554,
+      "reasoning_output_tokens": 451
+    }
+  },
+  "prompt_path": "cli/sql_prompt_attempt_1.txt",
+  "response_path": "cli/sql_response_attempt_1.txt",
+  "raw_response_path": "cli/sql_response_attempt_1.raw.txt",
+  "stderr_path": "cli/sql_stderr_attempt_1.txt"
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_prompt_attempt_1.txt

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+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Topic, measure_col=Student ID.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "Topic",
+    "measure_col": "Student ID",
+    "top_k": 18,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 1077.0,
+    "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_response_attempt_1.raw.txt

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+{"type":"thread.started","thread_id":"019e619c-3e6e-7113-8a18-15520873f6a2"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg.\\nSELECT DISTINCT \\\"Topic\\\",\\n       AVG(CAST(\\\"Student ID\\\" AS REAL)) OVER (PARTITION BY \\\"Topic\\\") AS avg_measure\\nFROM \\\"c6\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"Topic\\\" and measure_col=\\\"Student ID\\\". CAST is used because \\\"Student ID\\\" is stored as TEXT in the SQLite schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":25049,"cached_input_tokens":3456,"output_tokens":554,"reasoning_output_tokens":451}}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_response_attempt_1.txt

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+{"sql":"-- template_id: tpl_m4_window_partition_avg.\nSELECT DISTINCT \"Topic\",\n       AVG(CAST(\"Student ID\" AS REAL)) OVER (PARTITION BY \"Topic\") AS avg_measure\nFROM \"c6\"\nORDER BY avg_measure DESC;","notes":"Applied the Window Partition Average template with group_col=\"Topic\" and measure_col=\"Student ID\". CAST is used because \"Student ID\" is stored as TEXT in the SQLite schema."}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/sql_stderr_attempt_1.txt

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+2026-05-26T00:08:24.417354Z  WARN codex_core::shell_snapshot: Failed to delete shell snapshot at AbsolutePathBuf("/Users/jialinzhang/.codex/shell_snapshots/019e619c-3e6e-7113-8a18-15520873f6a2.1779754090095287000.sh"): Os { code: 2, kind: NotFound, message: "No such file or directory" }

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/final_answer.txt

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+SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Topic, measure_col=Student ID.
+Result preview: [{"Topic": "Real Functions of a single variable", "avg_measure": 1012.7560975609756}, {"Topic": "Numerical Methods", "avg_measure": 985.858064516129}, {"Topic": "Linear Algebra", "avg_measure": 929.7209221096751}, {"Topic": "Optimization", "avg_measure": 841.6428571428571}, {"Topic": "Probability", "avg_measure": 709.703125}]

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/generated_sql.sql

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+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_conditional_subgroup_repair_local_20260526_sync3
+-- sql_source_dataset_id: c6
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_c6_2745294cbd314f00
+-- problem_id: v2p_c6_d3038a89896e5e85
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT "Topic",
+       AVG(CAST("Student ID" AS REAL)) OVER (PARTITION BY "Topic") AS avg_measure
+FROM "c6"
+ORDER BY avg_measure DESC;

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/query_results.jsonl

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+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg.\nSELECT DISTINCT \"Topic\",\n       AVG(CAST(\"Student ID\" AS REAL)) OVER (PARTITION BY \"Topic\") AS avg_measure\nFROM \"c6\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg.\\nSELECT DISTINCT \\\"Topic\\\",\\n       AVG(CAST(\\\"Student ID\\\" AS REAL)) OVER (PARTITION BY \\\"Topic\\\") AS avg_measure\\nFROM \\\"c6\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"Topic\", \"avg_measure\"], \"rows\": [{\"Topic\": \"Real Functions of a single variable\", \"avg_measure\": 1012.7560975609756}, {\"Topic\": \"Numerical Methods\", \"avg_measure\": 985.858064516129}, {\"Topic\": \"Linear Algebra\", \"avg_measure\": 929.7209221096751}, {\"Topic\": \"Optimization\", \"avg_measure\": 841.6428571428571}, {\"Topic\": \"Probability\", \"avg_measure\": 709.703125}, {\"Topic\": \"Statistics\", \"avg_measure\": 620.6588235294117}, {\"Topic\": \"Differentiation\", \"avg_measure\": 596.2003454231434}, {\"Topic\": \"Integration\", \"avg_measure\": 570.5208333333334}, {\"Topic\": \"Graph Theory\", \"avg_measure\": 409.56363636363636}, {\"Topic\": \"Differential Equations\", \"avg_measure\": 377.5}, {\"Topic\": \"Fundamental Mathematics\", \"avg_measure\": 376.4621026894865}, {\"Topic\": \"Complex Numbers\", \"avg_measure\": 363.2010135135135}, {\"Topic\": \"Analytic Geometry\", \"avg_measure\": 361.5446927374302}, {\"Topic\": \"Set Theory\", \"avg_measure\": 205.0}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.04}"}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/run_manifest.json

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+{
+  "run_id": "v2_conditional_subgroup_repair_local_20260526_sync3",
+  "dataset_id": "c6",
+  "started_at": "2026-05-26T00:08:10.012791+00:00",
+  "ended_at": "2026-05-26T00:08:25.605899+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c6_2745294cbd314f00",
+    "problem_id": "v2p_c6_d3038a89896e5e85",
+    "dataset_id": "c6",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Topic, measure_col=Student ID.",
+    "bindings": {
+      "group_col": "Topic",
+      "measure_col": "Student ID",
+      "top_k": 18,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 1077.0,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=7",
+      "sql_variant_index=2/2",
+      "binding_index=138"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 7,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/sql/v2q_c6_2745294cbd314f00.sql",
+  "usage_summary": {
+    "dataset_id": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_2745294cbd314f00",
+    "api_calls": 0,
+    "input_tokens": 25049,
+    "cached_input_tokens": 3456,
+    "output_tokens": 554,
+    "total_tokens": 25603,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 1754,
+    "estimated_output_tokens": 97,
+    "estimated_total_tokens": 1851,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 15305.1,
+    "sql_execution_elapsed_ms_total": 14.04,
+    "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/trace.jsonl

@@ -0,0 +1 @@
+{"timestamp": "2026-05-26T00:08:25.588843+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15305.1, "started_at": "2026-05-26T00:08:10.014451+00:00", "ended_at": "2026-05-26T00:08:25.319765+00:00", "prompt_metrics": {"chars": 6698, "bytes_utf8": 6698, "lines": 192, "estimated_tokens": 1754}, "response_metrics": {"chars": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": 97}, "usage": {"input_tokens": 25049, "cached_input_tokens": 3456, "output_tokens": 554, "reasoning_output_tokens": 451}, "stderr_preview": "2026-05-26T00:08:24.417354Z  WARN codex_core::shell_snapshot: Failed to delete shell snapshot at AbsolutePathBuf(\"/Users/jialinzhang/.codex/shell_snapshots/019e619c-3e6e-7113-8a18-15520873f6a2.1779754090095287000.sh\"): Os { code: 2, kind: NotFound, message: \"No such file or directory\" }\n", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg.\\nSELECT DISTINCT \\\"Topic\\\",\\n       AVG(CAST(\\\"Student ID\\\" AS REAL)) OVER (PARTITION BY \\\"Topic\\\") AS avg_measure\\nFROM \\\"c6\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"Topic\\\" and measure_col=\\\"Student ID\\\". CAST is used because \\\"Student ID\\\" is stored as TEXT in the SQLite schema.\"}"}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c6",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c6_2745294cbd314f00",
+  "api_calls": 0,
+  "input_tokens": 25049,
+  "cached_input_tokens": 3456,
+  "output_tokens": 554,
+  "total_tokens": 25603,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 1754,
+  "estimated_output_tokens": 97,
+  "estimated_total_tokens": 1851,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 15305.1,
+  "sql_execution_elapsed_ms_total": 14.04,
+  "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_2745294cbd314f00/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6946, "bytes_utf8": 6946, "lines": 196, "estimated_tokens": 1837}}
+{"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": 402, "bytes_utf8": 402, "lines": 1, "estimated_tokens": 101}, "usage": {"input_tokens": 25132, "cached_input_tokens": 24960, "output_tokens": 496, "reasoning_output_tokens": 389}}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/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 \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_3ac48746ab097d21",
+    "api_calls": 0,
+    "input_tokens": 25132,
+    "cached_input_tokens": 24960,
+    "output_tokens": 496,
+    "total_tokens": 25628,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 1837,
+    "estimated_output_tokens": 101,
+    "estimated_total_tokens": 1938,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13278.35,
+    "sql_execution_elapsed_ms_total": 1.03,
+    "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/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 \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-26T00:08:25.607696+00:00",
+  "ended_at": "2026-05-26T00:08:38.886207+00:00",
+  "elapsed_ms": 13278.35,
+  "prompt_metrics": {
+    "chars": 6946,
+    "bytes_utf8": 6946,
+    "lines": 196,
+    "estimated_tokens": 1837
+  },
+  "stdout_metrics": {
+    "chars": 769,
+    "bytes_utf8": 769,
+    "lines": 4,
+    "estimated_tokens": 219
+  },
+  "stderr_metrics": {
+    "chars": 288,
+    "bytes_utf8": 288,
+    "lines": 1,
+    "estimated_tokens": 104
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 402,
+      "bytes_utf8": 402,
+      "lines": 1,
+      "estimated_tokens": 101
+    },
+    "usage": {
+      "input_tokens": 25132,
+      "cached_input_tokens": 24960,
+      "output_tokens": 496,
+      "reasoning_output_tokens": 389
+    }
+  },
+  "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_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,196 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "yes",
+    "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "required_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Type of Answer, group_col_2=Topic.",
+  "planned_template_id": "tpl_c2_filtered_group_count_2d",
+  "bindings": {
+    "group_col": "Type of Answer",
+    "group_col_2": "Topic",
+    "predicate_col": "Subtopic",
+    "predicate_op": "=",
+    "predicate_value": "Elementary Geometry",
+    "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": 571.0,
+    "time_grain": "month",
+    "lookback_rows": 3,
+    "current_period_start": "'2024-01-01'",
+    "current_period_end": "'2024-04-01'",
+    "previous_period_start": "'2023-10-01'",
+    "previous_period_end": "'2024-01-01'",
+    "drift_ratio_threshold": 0.8
+  },
+  "can_vary": [],
+  "must_fix": [],
+  "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e619c-7b3b-7f01-ad02-6a8f392521ca"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Type of Answer\\\", \\\"Topic\\\", COUNT(*) AS row_count\\nFROM \\\"c6\\\"\\nWHERE \\\"Subtopic\\\" = 'Elementary Geometry'\\nGROUP BY \\\"Type of Answer\\\", \\\"Topic\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with \\\"Subtopic\\\" = 'Elementary Geometry', grouping by \\\"Type of Answer\\\" and \\\"Topic\\\".\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":25132,"cached_input_tokens":24960,"output_tokens":496,"reasoning_output_tokens":389}}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"Type of Answer\", \"Topic\", COUNT(*) AS row_count\nFROM \"c6\"\nWHERE \"Subtopic\" = 'Elementary Geometry'\nGROUP BY \"Type of Answer\", \"Topic\"\nORDER BY row_count DESC;","notes":"Uses the planned filtered two-dimensional group count template with \"Subtopic\" = 'Elementary Geometry', grouping by \"Type of Answer\" and \"Topic\"."}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/cli/sql_stderr_attempt_1.txt

@@ -0,0 +1 @@
+2026-05-26T00:08:37.941168Z  WARN codex_core::shell_snapshot: Failed to delete shell snapshot at AbsolutePathBuf("/Users/jialinzhang/.codex/shell_snapshots/019e619c-7b3b-7f01-ad02-6a8f392521ca.1779754105660332000.sh"): Os { code: 2, kind: NotFound, message: "No such file or directory" }

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Type of Answer, group_col_2=Topic.
+Result preview: [{"Type of Answer": "1", "Topic": "Fundamental Mathematics", "row_count": 189}, {"Type of Answer": "0", "Topic": "Fundamental Mathematics", "row_count": 133}]

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/generated_sql.sql

@@ -0,0 +1,18 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_conditional_subgroup_repair_local_20260526_sync3
+-- sql_source_dataset_id: c6
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: count_distribution
+-- template_id: tpl_c2_filtered_group_count_2d
+-- query_record_id: v2q_c6_3ac48746ab097d21
+-- problem_id: v2p_c6_09d00a182f12de21
+-- realization_mode: agent
+-- source_kind: agent
+SELECT "Type of Answer", "Topic", COUNT(*) AS row_count
+FROM "c6"
+WHERE "Subtopic" = 'Elementary Geometry'
+GROUP BY "Type of Answer", "Topic"
+ORDER BY row_count DESC;

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"Type of Answer\", \"Topic\", COUNT(*) AS row_count\nFROM \"c6\"\nWHERE \"Subtopic\" = 'Elementary Geometry'\nGROUP BY \"Type of Answer\", \"Topic\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Type of Answer\\\", \\\"Topic\\\", COUNT(*) AS row_count\\nFROM \\\"c6\\\"\\nWHERE \\\"Subtopic\\\" = 'Elementary Geometry'\\nGROUP BY \\\"Type of Answer\\\", \\\"Topic\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Type of Answer\", \"Topic\", \"row_count\"], \"rows\": [{\"Type of Answer\": \"1\", \"Topic\": \"Fundamental Mathematics\", \"row_count\": 189}, {\"Type of Answer\": \"0\", \"Topic\": \"Fundamental Mathematics\", \"row_count\": 133}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.03}"}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/run_manifest.json

@@ -0,0 +1,93 @@
+{
+  "run_id": "v2_conditional_subgroup_repair_local_20260526_sync3",
+  "dataset_id": "c6",
+  "started_at": "2026-05-26T00:08:25.606535+00:00",
+  "ended_at": "2026-05-26T00:08:38.890979+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c6_3ac48746ab097d21",
+    "problem_id": "v2p_c6_09d00a182f12de21",
+    "dataset_id": "c6",
+    "template_id": "tpl_c2_filtered_group_count_2d",
+    "template_name": "Filtered Two-Dimensional Group Count",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "count_distribution",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=Type of Answer, group_col_2=Topic.",
+    "bindings": {
+      "group_col": "Type of Answer",
+      "group_col_2": "Topic",
+      "predicate_col": "Subtopic",
+      "predicate_op": "=",
+      "predicate_value": "Elementary Geometry",
+      "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": 571.0,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "group_col_2",
+      "predicate_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=8",
+      "sql_variant_index=1/1",
+      "binding_index=55"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 5,
+    "problem_index_within_template": 8,
+    "sql_variant_index": 1,
+    "sql_variant_total": 1
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/sql/v2q_c6_3ac48746ab097d21.sql",
+  "usage_summary": {
+    "dataset_id": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_3ac48746ab097d21",
+    "api_calls": 0,
+    "input_tokens": 25132,
+    "cached_input_tokens": 24960,
+    "output_tokens": 496,
+    "total_tokens": 25628,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 1837,
+    "estimated_output_tokens": 101,
+    "estimated_total_tokens": 1938,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 13278.35,
+    "sql_execution_elapsed_ms_total": 1.03,
+    "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/trace.jsonl

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+{"timestamp": "2026-05-26T00:08:38.888739+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13278.35, "started_at": "2026-05-26T00:08:25.607696+00:00", "ended_at": "2026-05-26T00:08:38.886207+00:00", "prompt_metrics": {"chars": 6946, "bytes_utf8": 6946, "lines": 196, "estimated_tokens": 1837}, "response_metrics": {"chars": 402, "bytes_utf8": 402, "lines": 1, "estimated_tokens": 101}, "usage": {"input_tokens": 25132, "cached_input_tokens": 24960, "output_tokens": 496, "reasoning_output_tokens": 389}, "stderr_preview": "2026-05-26T00:08:37.941168Z  WARN codex_core::shell_snapshot: Failed to delete shell snapshot at AbsolutePathBuf(\"/Users/jialinzhang/.codex/shell_snapshots/019e619c-7b3b-7f01-ad02-6a8f392521ca.1779754105660332000.sh\"): Os { code: 2, kind: NotFound, message: \"No such file or directory\" }\n", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Type of Answer\\\", \\\"Topic\\\", COUNT(*) AS row_count\\nFROM \\\"c6\\\"\\nWHERE \\\"Subtopic\\\" = 'Elementary Geometry'\\nGROUP BY \\\"Type of Answer\\\", \\\"Topic\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with \\\"Subtopic\\\" = 'Elementary Geometry', grouping by \\\"Type of Answer\\\" and \\\"Topic\\\".\"}"}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c6",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c6_3ac48746ab097d21",
+  "api_calls": 0,
+  "input_tokens": 25132,
+  "cached_input_tokens": 24960,
+  "output_tokens": 496,
+  "total_tokens": 25628,
+  "cost_usd": 0.0,
+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 1837,
+  "estimated_output_tokens": 101,
+  "estimated_total_tokens": 1938,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 13278.35,
+  "sql_execution_elapsed_ms_total": 1.03,
+  "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_3ac48746ab097d21/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/cli/conversation.jsonl

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+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6704, "bytes_utf8": 6704, "lines": 192, "estimated_tokens": 1756}}
+{"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": 415, "bytes_utf8": 415, "lines": 1, "estimated_tokens": 102}, "usage": {"input_tokens": 25051, "cached_input_tokens": 22912, "output_tokens": 624, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/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 \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_4e0be801770a1a23",
+    "api_calls": 0,
+    "input_tokens": 25051,
+    "cached_input_tokens": 22912,
+    "output_tokens": 624,
+    "total_tokens": 25675,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 1756,
+    "estimated_output_tokens": 102,
+    "estimated_total_tokens": 1858,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14990.73,
+    "sql_execution_elapsed_ms_total": 23.83,
+    "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/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 \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-26T00:08:38.894079+00:00",
+  "ended_at": "2026-05-26T00:08:53.885006+00:00",
+  "elapsed_ms": 14990.73,
+  "prompt_metrics": {
+    "chars": 6704,
+    "bytes_utf8": 6704,
+    "lines": 192,
+    "estimated_tokens": 1756
+  },
+  "stdout_metrics": {
+    "chars": 781,
+    "bytes_utf8": 781,
+    "lines": 4,
+    "estimated_tokens": 218
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 415,
+      "bytes_utf8": 415,
+      "lines": 1,
+      "estimated_tokens": 102
+    },
+    "usage": {
+      "input_tokens": 25051,
+      "cached_input_tokens": 22912,
+      "output_tokens": 624,
+      "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_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,192 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Subtopic, measure_col=Student ID.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "Subtopic",
+    "measure_col": "Student ID",
+    "top_k": 19,
+    "top_n": 6,
+    "num_tiles": 10,
+    "percentile_value": 0.9,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.05,
+    "baseline_multiplier": 1.75,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 4,
+    "measure_threshold": 1077.0,
+    "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e619c-af2a-7560-beab-278f2147064c"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Subtopic\\\",\\n       AVG(CAST(\\\"Student ID\\\" AS REAL)) OVER (PARTITION BY \\\"Subtopic\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c6\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Applied the requested Window Partition Average template with group_col=\\\"Subtopic\\\" and measure_col=\\\"Student ID\\\". Cast \\\"Student ID\\\" to REAL because the schema stores it as TEXT.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":25051,"cached_input_tokens":22912,"output_tokens":624,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Subtopic\",\n       AVG(CAST(\"Student ID\" AS REAL)) OVER (PARTITION BY \"Subtopic\") AS \"avg_measure\"\nFROM \"c6\"\nORDER BY \"avg_measure\" DESC;","notes":"Applied the requested Window Partition Average template with group_col=\"Subtopic\" and measure_col=\"Student ID\". Cast \"Student ID\" to REAL because the schema stores it as TEXT."}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Subtopic, measure_col=Student ID.
+Result preview: [{"Subtopic": "Limits and Continuity", "avg_measure": 1303.859649122807}, {"Subtopic": "Linear Optimization", "avg_measure": 1082.6964285714287}, {"Subtopic": "Vector Spaces", "avg_measure": 992.9199708985085}, {"Subtopic": "Linear Transformations", "avg_measure": 990.7700987306065}, {"Subtopic": "Numerical Methods", "avg_measure": 985.858064516129}]

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/generated_sql.sql

@@ -0,0 +1,17 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_conditional_subgroup_repair_local_20260526_sync3
+-- sql_source_dataset_id: c6
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: ranked_signal_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_c6_4e0be801770a1a23
+-- problem_id: v2p_c6_6b5ae605a257312f
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT "Subtopic",
+       AVG(CAST("Student ID" AS REAL)) OVER (PARTITION BY "Subtopic") AS "avg_measure"
+FROM "c6"
+ORDER BY "avg_measure" DESC;

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Subtopic\",\n       AVG(CAST(\"Student ID\" AS REAL)) OVER (PARTITION BY \"Subtopic\") AS \"avg_measure\"\nFROM \"c6\"\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Subtopic\\\",\\n       AVG(CAST(\\\"Student ID\\\" AS REAL)) OVER (PARTITION BY \\\"Subtopic\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c6\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"Subtopic\", \"avg_measure\"], \"rows\": [{\"Subtopic\": \"Limits and Continuity\", \"avg_measure\": 1303.859649122807}, {\"Subtopic\": \"Linear Optimization\", \"avg_measure\": 1082.6964285714287}, {\"Subtopic\": \"Vector Spaces\", \"avg_measure\": 992.9199708985085}, {\"Subtopic\": \"Linear Transformations\", \"avg_measure\": 990.7700987306065}, {\"Subtopic\": \"Numerical Methods\", \"avg_measure\": 985.858064516129}, {\"Subtopic\": \"Domain, Image and Graphics\", \"avg_measure\": 857.6822429906542}, {\"Subtopic\": \"Partial Differentiation\", \"avg_measure\": 847.0725190839695}, {\"Subtopic\": \"Nonlinear Optimization\", \"avg_measure\": 734.5079365079365}, {\"Subtopic\": \"Definite Integrals\", \"avg_measure\": 713.6666666666666}, {\"Subtopic\": \"Probability\", \"avg_measure\": 709.703125}, {\"Subtopic\": \"Linear Systems\", \"avg_measure\": 648.2714285714286}, {\"Subtopic\": \"Statistics\", \"avg_measure\": 620.6588235294117}, {\"Subtopic\": \"Integration Techniques\", \"avg_measure\": 613.1891891891892}, {\"Subtopic\": \"Eigenvalues and Eigenvectors\", \"avg_measure\": 584.2461538461539}, {\"Subtopic\": \"Matrices and Determinants\", \"avg_measure\": 461.50333333333333}, {\"Subtopic\": \"Algebraic expressions, Equations, and Inequalities\", \"avg_measure\": 438.71975806451616}, {\"Subtopic\": \"Graph Theory\", \"avg_measure\": 409.56363636363636}, {\"Subtopic\": \"Derivatives\", \"avg_measure\": 388.8548895899054}, {\"Subtopic\": \"Differential Equations\", \"avg_measure\": 377.5}, {\"Subtopic\": \"Complex Numbers\", \"avg_measure\": 363.2010135135135}, {\"Subtopic\": \"Analytic Geometry\", \"avg_measure\": 361.5446927374302}, {\"Subtopic\": \"Elementary Geometry\", \"avg_measure\": 280.5621118012422}, {\"Subtopic\": \"Set Theory\", \"avg_measure\": 205.0}, {\"Subtopic\": \"Double Integration\", \"avg_measure\": 188.11111111111111}], \"row_count_returned\": 24, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 23.83}"}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_conditional_subgroup_repair_local_20260526_sync3",
+  "dataset_id": "c6",
+  "started_at": "2026-05-26T00:08:38.891881+00:00",
+  "ended_at": "2026-05-26T00:08:53.915598+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c6_4e0be801770a1a23",
+    "problem_id": "v2p_c6_6b5ae605a257312f",
+    "dataset_id": "c6",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "ranked_signal_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Subtopic, measure_col=Student ID.",
+    "bindings": {
+      "group_col": "Subtopic",
+      "measure_col": "Student ID",
+      "top_k": 19,
+      "top_n": 6,
+      "num_tiles": 10,
+      "percentile_value": 0.9,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.05,
+      "baseline_multiplier": 1.75,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 4,
+      "measure_threshold": 1077.0,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=3",
+      "sql_variant_index=2/2",
+      "binding_index=134"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 3,
+    "sql_variant_index": 2,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/sql/v2q_c6_4e0be801770a1a23.sql",
+  "usage_summary": {
+    "dataset_id": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_4e0be801770a1a23",
+    "api_calls": 0,
+    "input_tokens": 25051,
+    "cached_input_tokens": 22912,
+    "output_tokens": 624,
+    "total_tokens": 25675,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 1756,
+    "estimated_output_tokens": 102,
+    "estimated_total_tokens": 1858,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 14990.73,
+    "sql_execution_elapsed_ms_total": 23.83,
+    "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/trace.jsonl

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Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/usage_summary.json

@@ -0,0 +1,20 @@
+{
+  "dataset_id": "c6",
+  "model": "v2-cli:codex",
+  "run_id": "v2q_c6_4e0be801770a1a23",
+  "api_calls": 0,
+  "input_tokens": 25051,
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+  "output_tokens": 624,
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+  "ai_cli_calls": 1,
+  "estimated_input_tokens": 1756,
+  "estimated_output_tokens": 102,
+  "estimated_total_tokens": 1858,
+  "usage_source": "ai_cli_json_usage",
+  "cli_elapsed_ms_total": 14990.73,
+  "sql_execution_elapsed_ms_total": 23.83,
+  "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_4e0be801770a1a23/cli/conversation.jsonl",
+  "note": "Executed through a local AI CLI with structured usage metadata."
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/cli/conversation.jsonl

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+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6717, "bytes_utf8": 6717, "lines": 192, "estimated_tokens": 1757}}
+{"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": 535, "bytes_utf8": 535, "lines": 1, "estimated_tokens": 126}, "usage": {"input_tokens": 25052, "cached_input_tokens": 23936, "output_tokens": 1166, "reasoning_output_tokens": 1034}}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/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 \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -",
+  "ai_cli_calls": 1,
+  "usage_summary": {
+    "dataset_id": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_52727d7498359416",
+    "api_calls": 0,
+    "input_tokens": 25052,
+    "cached_input_tokens": 23936,
+    "output_tokens": 1166,
+    "total_tokens": 26218,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 1757,
+    "estimated_output_tokens": 126,
+    "estimated_total_tokens": 1883,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 26348.05,
+    "sql_execution_elapsed_ms_total": 15.72,
+    "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/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 \"/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent\" -m gpt-5.4 --json -",
+  "started_at": "2026-05-26T00:08:53.918812+00:00",
+  "ended_at": "2026-05-26T00:09:20.267145+00:00",
+  "elapsed_ms": 26348.05,
+  "prompt_metrics": {
+    "chars": 6717,
+    "bytes_utf8": 6717,
+    "lines": 192,
+    "estimated_tokens": 1757
+  },
+  "stdout_metrics": {
+    "chars": 909,
+    "bytes_utf8": 909,
+    "lines": 4,
+    "estimated_tokens": 250
+  },
+  "stderr_metrics": {
+    "chars": 0,
+    "bytes_utf8": 0,
+    "lines": 0,
+    "estimated_tokens": null
+  },
+  "parsed_output": {
+    "format": "jsonl_events",
+    "text_metrics": {
+      "chars": 535,
+      "bytes_utf8": 535,
+      "lines": 1,
+      "estimated_tokens": 126
+    },
+    "usage": {
+      "input_tokens": 25052,
+      "cached_input_tokens": 23936,
+      "output_tokens": 1166,
+      "reasoning_output_tokens": 1034
+    }
+  },
+  "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_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,192 @@
+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: c6
+- dataset_name: Dataset For Assessing Mathematics Learning In Higher Education
+- table_name: c6
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 7 feature columns and target `Type of Answer`.
+- task_type: classification
+- target_column: Type of Answer
+- main_row_count: 9546
+- important_fields:
+- Student ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Student ID.
+- Student Country: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Student Country.
+- Question ID: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Question ID.
+- Type of Answer: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Type of Answer.
+- Question Level: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Question Level.
+- Topic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Topic.
+- Subtopic: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Subtopic.
+- Keywords: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for Keywords.
+- useful_field_combinations: [['Student Country', 'Type of Answer', 'Type of Answer'], ['Student Country', 'Student Country', 'Type of Answer'], ['Student Country', 'Question Level', 'Type of Answer']]
+- fields_requiring_caution: ['Type of Answer', 'Keywords']
+- source_url: https://archive.ics.uci.edu/dataset/1031/dataset+for+assessing+mathematics+learning+in+higher+education
+
+SQLite schema snapshot:
+{
+  "table_name": "c6",
+  "quoted_table_name": "\"c6\"",
+  "row_count": 9546,
+  "columns": [
+    {
+      "name": "Student ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Student Country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question ID",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Type of Answer",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Question Level",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Topic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Subtopic",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "Keywords",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "Student ID": "647",
+      "Student Country": "Ireland",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "41",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "340",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "641",
+      "Student Country": "Italy",
+      "Question ID": "77",
+      "Type of Answer": "0",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    },
+    {
+      "Student ID": "669",
+      "Student Country": "Portugal",
+      "Question ID": "77",
+      "Type of Answer": "1",
+      "Question Level": "Basic",
+      "Topic": "Statistics",
+      "Subtopic": "Statistics",
+      "Keywords": "Stem and Leaf diagram,Relative frequency,Sample,Frequency"
+    }
+  ]
+}
+
+Shortlisted templates:
+[
+  {
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "primary_family": "conditional_dependency_structure",
+    "portability": "partial",
+    "sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "required_roles": [
+      "group_col",
+      "measure_col"
+    ]
+  }
+]
+
+Problem instance:
+{
+  "dataset_id": "c6",
+  "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Question Level, measure_col=Student ID.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "Question Level",
+    "measure_col": "Student ID",
+    "top_k": 12,
+    "top_n": 3,
+    "num_tiles": 10,
+    "percentile_value": 0.95,
+    "z_threshold": 2.0,
+    "fraction_threshold": 0.1,
+    "baseline_multiplier": 1.5,
+    "baseline_fraction": 0.1,
+    "min_group_size": 5,
+    "min_support": 5,
+    "measure_threshold": 1219.0,
+    "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 DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
+}
+
+Repair context:
+{}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e619c-e9f6-74c2-b9da-c0e6fb41f706"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Question Level\\\",\\n       AVG(CAST(\\\"Student ID\\\" AS REAL)) OVER (PARTITION BY \\\"Question Level\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c6\\\"\\nWHERE \\\"Question Level\\\" IS NOT NULL\\n  AND \\\"Student ID\\\" IS NOT NULL\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Applied the requested window-average template with \\\"Question Level\\\" as the partition key. \\\"Student ID\\\" is cast from TEXT to REAL for SQLite averaging; this is a template-driven probe over an identifier-like field.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":25052,"cached_input_tokens":23936,"output_tokens":1166,"reasoning_output_tokens":1034}}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Question Level\",\n       AVG(CAST(\"Student ID\" AS REAL)) OVER (PARTITION BY \"Question Level\") AS \"avg_measure\"\nFROM \"c6\"\nWHERE \"Question Level\" IS NOT NULL\n  AND \"Student ID\" IS NOT NULL\nORDER BY \"avg_measure\" DESC;","notes":"Applied the requested window-average template with \"Question Level\" as the partition key. \"Student ID\" is cast from TEXT to REAL for SQLite averaging; this is a template-driven probe over an identifier-like field."}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/final_answer.txt

@@ -0,0 +1,2 @@
+SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Question Level, measure_col=Student ID.
+Result preview: [{"Question Level": "Advanced", "avg_measure": 816.4424206815511}, {"Question Level": "Basic", "avg_measure": 766.4973227944926}]

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/generated_sql.sql

@@ -0,0 +1,19 @@
+-- sql_source_version: v2
+-- sql_source_label: v2_current
+-- sql_source_run_id: v2_conditional_subgroup_repair_local_20260526_sync3
+-- sql_source_dataset_id: c6
+-- family_id: conditional_dependency_structure
+-- canonical_subitem_id: slice_level_consistency
+-- intended_facet_id: conditional_interaction_hotspots
+-- variant_semantic_role: filtered_stable_view
+-- template_id: tpl_m4_window_partition_avg
+-- query_record_id: v2q_c6_52727d7498359416
+-- problem_id: v2p_c6_425a99bd1ea292f0
+-- realization_mode: agent
+-- source_kind: agent
+SELECT DISTINCT "Question Level",
+       AVG(CAST("Student ID" AS REAL)) OVER (PARTITION BY "Question Level") AS "avg_measure"
+FROM "c6"
+WHERE "Question Level" IS NOT NULL
+  AND "Student ID" IS NOT NULL
+ORDER BY "avg_measure" DESC;

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/query_results.jsonl

@@ -0,0 +1 @@
+{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"Question Level\",\n       AVG(CAST(\"Student ID\" AS REAL)) OVER (PARTITION BY \"Question Level\") AS \"avg_measure\"\nFROM \"c6\"\nWHERE \"Question Level\" IS NOT NULL\n  AND \"Student ID\" IS NOT NULL\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"Question Level\\\",\\n       AVG(CAST(\\\"Student ID\\\" AS REAL)) OVER (PARTITION BY \\\"Question Level\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c6\\\"\\nWHERE \\\"Question Level\\\" IS NOT NULL\\n  AND \\\"Student ID\\\" IS NOT NULL\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"Question Level\", \"avg_measure\"], \"rows\": [{\"Question Level\": \"Advanced\", \"avg_measure\": 816.4424206815511}, {\"Question Level\": \"Basic\", \"avg_measure\": 766.4973227944926}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 15.72}"}

Query/sql/v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/run_manifest.json

@@ -0,0 +1,89 @@
+{
+  "run_id": "v2_conditional_subgroup_repair_local_20260526_sync3",
+  "dataset_id": "c6",
+  "started_at": "2026-05-26T00:08:53.916729+00:00",
+  "ended_at": "2026-05-26T00:09:20.288718+00:00",
+  "status": "completed",
+  "engine": "cli",
+  "question_record": {
+    "query_record_id": "v2q_c6_52727d7498359416",
+    "problem_id": "v2p_c6_425a99bd1ea292f0",
+    "dataset_id": "c6",
+    "template_id": "tpl_m4_window_partition_avg",
+    "template_name": "Window Partition Average",
+    "family_id": "conditional_dependency_structure",
+    "canonical_subitem_id": "slice_level_consistency",
+    "intended_facet_id": "conditional_interaction_hotspots",
+    "variant_semantic_role": "filtered_stable_view",
+    "subitem_assignment_source": "planner_selected",
+    "source_kind": "agent",
+    "realization_mode": "agent",
+    "gate_priority": "primary",
+    "extended_family": false,
+    "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Question Level, measure_col=Student ID.",
+    "bindings": {
+      "group_col": "Question Level",
+      "measure_col": "Student ID",
+      "top_k": 12,
+      "top_n": 3,
+      "num_tiles": 10,
+      "percentile_value": 0.95,
+      "z_threshold": 2.0,
+      "fraction_threshold": 0.1,
+      "baseline_multiplier": 1.5,
+      "baseline_fraction": 0.1,
+      "min_group_size": 5,
+      "min_support": 5,
+      "measure_threshold": 1219.0,
+      "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
+    },
+    "binding_roles": [
+      "group_col",
+      "measure_col"
+    ],
+    "coverage_target_min": "5",
+    "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n       AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
+    "notes": [
+      "default_facets=conditional_interaction_hotspots",
+      "template_selection_mode=rule",
+      "problem_index_within_template=1",
+      "sql_variant_index=1/2",
+      "binding_index=132"
+    ],
+    "template_selection_mode": "rule",
+    "selected_template_rank": 12,
+    "problem_index_within_template": 1,
+    "sql_variant_index": 1,
+    "sql_variant_total": 2
+  },
+  "mode": "subitem_workload_v2",
+  "sql_source_version": "v2",
+  "sql_source_label": "v2_current",
+  "generated_sql_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/sql/v2q_c6_52727d7498359416.sql",
+  "usage_summary": {
+    "dataset_id": "c6",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c6_52727d7498359416",
+    "api_calls": 0,
+    "input_tokens": 25052,
+    "cached_input_tokens": 23936,
+    "output_tokens": 1166,
+    "total_tokens": 26218,
+    "cost_usd": 0.0,
+    "ai_cli_calls": 1,
+    "estimated_input_tokens": 1757,
+    "estimated_output_tokens": 126,
+    "estimated_total_tokens": 1883,
+    "usage_source": "ai_cli_json_usage",
+    "cli_elapsed_ms_total": 26348.05,
+    "sql_execution_elapsed_ms_total": 15.72,
+    "conversation_log_path": "/Users/jialinzhang/Documents/HKUNAISS/SyntheticNips/SQLagent/logs/subitem_workload_v2/runs/v2_conditional_subgroup_repair_local_20260526_sync3/c6/artifacts/v2q_c6_52727d7498359416/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}