diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e93082166d3b9324cafdfd3f6701bccab5fc9b75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/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": "2026-05-19T16:09:45.224985+00:00", + "ended_at": "2026-05-19T16:09:48.516865+00:00", + "elapsed_ms": 3291.84, + "returncode": 1, + "prompt_metrics": { + "chars": 16428, + "bytes_utf8": 16428, + "lines": 456, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f3ef3839f968fa142b7949bf37de28f21ee46659 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/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": "2026-05-19T16:09:49.518862+00:00", + "ended_at": "2026-05-19T16:09:52.839297+00:00", + "elapsed_ms": 3320.41, + "returncode": 1, + "prompt_metrics": { + "chars": 16428, + "bytes_utf8": 16428, + "lines": 456, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a7ec161bf0305f35a0303893f4a670b2d534393 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,456 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Survey_Date, measure_col=Efficiency_Rating.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Survey_Date", + "measure_col": "Efficiency_Rating", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 95.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a7ec161bf0305f35a0303893f4a670b2d534393 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,456 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=Survey_Date, measure_col=Efficiency_Rating.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Survey_Date", + "measure_col": "Efficiency_Rating", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 95.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e0055c5114141718fb3f094b55010fc09f3eb59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1703-7952-8567-4ba8e9d6b182"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..614e0a7ab3d83e48f3b39e622be7273439565333 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1703-7952-8567-4ba8e9d6b182"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..33faaa5220dbb3a1944d1e32016dc1df15db9221 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-2801-7b02-933b-4e243a7e27f7"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..14c3c50a8d859b067fc915952e37dbd3fcf9b500 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-2801-7b02-933b-4e243a7e27f7"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0148d341df5f5dce/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2a4646d854200d2a6bb7efed094bf52438fb953 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,456 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=Education_Level, measure_col=WFH_Days_Per_Week.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Education_Level", + "measure_col": "WFH_Days_Per_Week", + "top_k": 16, + "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": 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 {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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..44372a0b2c08ff1f9b6a9a3830a4ce093acf2051 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-3c9b-7a62-8563-c0a4a6676932"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..74451533fd2207553bfb6476953baa8b83fb3322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-4bf0-7ae2-a687-b2374712fe33"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Education_Level\\\" AS \\\"group_col\\\",\\n CAST(\\\"WFH_Days_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Education_Level\\\"\\n ORDER BY CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Education_Level\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Education_Level\\\" IS NOT NULL\\n AND \\\"WFH_Days_Per_Week\\\" IS NOT NULL\\n AND TRIM(\\\"Education_Level\\\") <> ''\\n AND TRIM(\\\"WFH_Days_Per_Week\\\") <> ''\\n),\\n\\\"targets\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\",\\n CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.9) = CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT)\\n THEN CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT)\\n ELSE CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"t\\\".\\\"group_col\\\",\\n \\\"t\\\".\\\"pos\\\",\\n \\\"t\\\".\\\"lower_rn\\\",\\n \\\"t\\\".\\\"upper_rn\\\",\\n \\\"lo\\\".\\\"measure_value\\\" AS \\\"lower_val\\\",\\n \\\"hi\\\".\\\"measure_value\\\" AS \\\"upper_val\\\"\\n FROM \\\"targets\\\" AS \\\"t\\\"\\n JOIN \\\"ordered\\\" AS \\\"lo\\\"\\n ON \\\"lo\\\".\\\"group_col\\\" = \\\"t\\\".\\\"group_col\\\"\\n AND \\\"lo\\\".\\\"rn\\\" = \\\"t\\\".\\\"lower_rn\\\"\\n JOIN \\\"ordered\\\" AS \\\"hi\\\"\\n ON \\\"hi\\\".\\\"group_col\\\" = \\\"t\\\".\\\"group_col\\\"\\n AND \\\"hi\\\".\\\"rn\\\" = \\\"t\\\".\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"Education_Level\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"Education_Level\\\" ASC;\",\"notes\":\"Emulates SQLite-compatible grouped PERCENTILE_CONT(0.9) for \\\"WFH_Days_Per_Week\\\" by \\\"Education_Level\\\" using window functions, casts the text measure to REAL, excludes null/blank values, and applies the bound minimum group size of 5.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16729,"cached_input_tokens":15744,"output_tokens":3116,"reasoning_output_tokens":2388}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..865d3c1bbe681e87e4d0b3af169bfe74dd0860e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16936, "bytes_utf8": 16936, "lines": 456, "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": 730, "bytes_utf8": 730, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16831, "cached_input_tokens": 15744, "output_tokens": 417, "reasoning_output_tokens": 228}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e440960c8c8429b785880a1d36d19cb5a7f2a340 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1a526838d64cf612", + "api_calls": 0, + "input_tokens": 16831, + "cached_input_tokens": 15744, + "output_tokens": 417, + "total_tokens": 17248, + "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": 9942.42, + "sql_execution_elapsed_ms_total": 1.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a5adac5c3cb1bb34a73e34f9b90ed1f392af6b10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/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": "2026-05-19T15:50:28.545018+00:00", + "ended_at": "2026-05-19T15:50:38.487466+00:00", + "elapsed_ms": 9942.42, + "prompt_metrics": { + "chars": 16936, + "bytes_utf8": 16936, + "lines": 456, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1097, + "bytes_utf8": 1097, + "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": 730, + "bytes_utf8": 730, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16831, + "cached_input_tokens": 15744, + "output_tokens": 417, + "reasoning_output_tokens": 228 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2cf52801ebb465fef979537db7a1fcd350fcd13e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,456 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Team_Collaboration_Frequency, measure_col=Commute_Time_Minutes.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Team_Collaboration_Frequency", + "measure_col": "Commute_Time_Minutes", + "top_k": 10, + "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": 38.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9737759b157cd9a1dd9ca19b1773d103ae88f8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-70c9-7501-900e-1964b8b5e070"} +{"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 \\\"Team_Collaboration_Frequency\\\", SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Team_Collaboration_Frequency\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Team_Collaboration_Frequency\\\", 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 provided template with group_col bound to \\\"Team_Collaboration_Frequency\\\" and measure_col bound to \\\"Commute_Time_Minutes\\\". CAST to REAL is included because the schema stores numeric values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16831,"cached_input_tokens":15744,"output_tokens":417,"reasoning_output_tokens":228}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..319b204b183790e82140325770f204f66fb723b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"Team_Collaboration_Frequency\", SUM(CAST(\"Commute_Time_Minutes\" AS REAL)) AS group_value\n FROM \"m1\"\n GROUP BY \"Team_Collaboration_Frequency\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Team_Collaboration_Frequency\", 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 provided template with group_col bound to \"Team_Collaboration_Frequency\" and measure_col bound to \"Commute_Time_Minutes\". CAST to REAL is included because the schema stores numeric values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a526838d64cf612/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f2cd2ab671bc49e915a7f4905992b4f5748cea96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16748, "bytes_utf8": 16748, "lines": 458, "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": 640, "bytes_utf8": 640, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16800, "cached_input_tokens": 12032, "output_tokens": 677, "reasoning_output_tokens": 504}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d2f27230879431d2baa62220e37a206d324c72b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_2994e13b03622d40", + "api_calls": 0, + "input_tokens": 16800, + "cached_input_tokens": 12032, + "output_tokens": 677, + "total_tokens": 17477, + "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": 16366.55, + "sql_execution_elapsed_ms_total": 4.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ad16243ff3ea671e7c841afa02b40b41029024b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:30.898368+00:00", + "ended_at": "2026-05-19T15:34:47.264963+00:00", + "elapsed_ms": 16366.55, + "prompt_metrics": { + "chars": 16748, + "bytes_utf8": 16748, + "lines": 458, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1026, + "bytes_utf8": 1026, + "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": 640, + "bytes_utf8": 640, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16800, + "cached_input_tokens": 12032, + "output_tokens": 677, + "reasoning_output_tokens": 504 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f31d3fab25dd4752f98bcfb212f1a95c8952c562 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2994e13b03622d40/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Industry\",\n \"Years_Experience\",\n SUM(CAST(\"Job_Satisfaction\" AS REAL)) AS total_measure,\n SUM(CAST(\"Job_Satisfaction\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Job_Satisfaction\" AS REAL))) OVER (PARTITION BY \"Industry\") AS share_within_group\nFROM \"m1\"\nGROUP BY \"Industry\", \"Years_Experience\"\nORDER BY share_within_group DESC;","notes":"Uses the provided template with bound roles group_col=\"Industry\", item_col=\"Years_Experience\", and measure_col=\"Job_Satisfaction\". \"Job_Satisfaction\" is cast to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6aca53ea18d9e4c8e39fb2152a6d23ae4732848c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/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": "2026-05-19T16:04:54.277302+00:00", + "ended_at": "2026-05-19T16:04:59.934444+00:00", + "elapsed_ms": 5657.12, + "returncode": 1, + "prompt_metrics": { + "chars": 16629, + "bytes_utf8": 16629, + "lines": 459, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8f1ff8d83e9c0a82be9964f0c0b4f9c30edb9f89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/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": "2026-05-19T16:05:00.936895+00:00", + "ended_at": "2026-05-19T16:05:04.245465+00:00", + "elapsed_ms": 3308.52, + "returncode": 1, + "prompt_metrics": { + "chars": 16629, + "bytes_utf8": 16629, + "lines": 459, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..68498fa75639783b44de952d29c9dc612a76a769 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,459 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m1", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Gender, condition_col=Team_Collaboration_Frequency.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Gender", + "condition_col": "Team_Collaboration_Frequency", + "condition_value": "Daily", + "positive_value": "Daily", + "negative_value": "Few times per week", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 98.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..68498fa75639783b44de952d29c9dc612a76a769 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,459 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m1", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Gender, condition_col=Team_Collaboration_Frequency.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Gender", + "condition_col": "Team_Collaboration_Frequency", + "condition_value": "Daily", + "positive_value": "Daily", + "negative_value": "Few times per week", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 98.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..257202970e517a86211ddb69c2fa46578054e499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-a683-7050-8975-c053cbf3ced1"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d444996b07a9725b31bd5c6d23be901ed22db2b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-a683-7050-8975-c053cbf3ced1"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..59ed26bf18ad7216d059ff2e316f70c481ae39a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c0a0-7073-944e-97a2759bf2c7"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..523cf593a45ead159c04da8d8b2495b7316cecde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c0a0-7073-944e-97a2759bf2c7"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_41c2b25901cf37fd/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d3f7622110d5f723f9c2da7ca39b7f6c9165400 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16501, "bytes_utf8": 16501, "lines": 454, "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": 524, "bytes_utf8": 524, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16736, "cached_input_tokens": 12032, "output_tokens": 358, "reasoning_output_tokens": 213}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eac4336f195bf7184f1174a2a20d6a0a09c89cd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_48f2c4cc35e98cf6", + "api_calls": 0, + "input_tokens": 16736, + "cached_input_tokens": 12032, + "output_tokens": 358, + "total_tokens": 17094, + "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": 17404.23, + "sql_execution_elapsed_ms_total": 2.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4590e5df2037f1b2c296949b66d4d9a8995e87a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/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": "2026-05-19T15:45:06.992662+00:00", + "ended_at": "2026-05-19T15:45:24.396922+00:00", + "elapsed_ms": 17404.23, + "prompt_metrics": { + "chars": 16501, + "bytes_utf8": 16501, + "lines": 454, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1555, + "bytes_utf8": 1555, + "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": 524, + "bytes_utf8": 524, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16736, + "cached_input_tokens": 12032, + "output_tokens": 358, + "reasoning_output_tokens": 213 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3cab54b5a2d7c37b956fe804cbb52dd9cec2113 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,454 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m1", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Quality_Score.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Quality_Score", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 96.225, + "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 buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7641b191cf91a95eab8f7c4ce2c90e92de08a4eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e9-88cc-7c70-9b12-78c97731d104"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1986945, Requested 17371. Please try again in 129ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 17371. Please try again in 521ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"Quality_Score\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Quality_Score\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m1\\\"\\n WHERE \\\"Quality_Score\\\" IS NOT NULL\\n)\\nSELECT \\\"Quality_Score\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"Quality_Score\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with \\\"Quality_Score\\\" as the measure column, casting it to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16736,"cached_input_tokens":12032,"output_tokens":358,"reasoning_output_tokens":213}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cde065373e59bcb91a2229ec9263d4965d4eff3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"Quality_Score\",\n NTILE(10) OVER (ORDER BY CAST(\"Quality_Score\" AS REAL) DESC) AS tail_bucket\n FROM \"m1\"\n WHERE \"Quality_Score\" IS NOT NULL\n)\nSELECT \"Quality_Score\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"Quality_Score\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with \"Quality_Score\" as the measure column, casting it to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_48f2c4cc35e98cf6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e224bdb0fde5b403a6e817f4c26e93573e112152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16734, "bytes_utf8": 16734, "lines": 458, "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": 671, "bytes_utf8": 671, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16799, "cached_input_tokens": 15744, "output_tokens": 1148, "reasoning_output_tokens": 958}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..84167b60c9419dd24ad9b07d85cd00d0c1d859ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_5fa3a8520733259f", + "api_calls": 0, + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 1148, + "total_tokens": 17947, + "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": 21328.56, + "sql_execution_elapsed_ms_total": 5.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b8fdf06b70aeda62f6be41446a5bab64d5353fba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:59.045348+00:00", + "ended_at": "2026-05-19T15:40:20.373948+00:00", + "elapsed_ms": 21328.56, + "prompt_metrics": { + "chars": 16734, + "bytes_utf8": 16734, + "lines": 458, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1088, + "bytes_utf8": 1088, + "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": 671, + "bytes_utf8": 671, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 1148, + "reasoning_output_tokens": 958 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9acc92ff079f30c9d3fe8acb0a5f9ab7546c3530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,458 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Gender, measure_col=Quality_Score.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Gender", + "measure_col": "Quality_Score", + "item_col": "Survey_Date", + "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": 93.6, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b19796f1e12e33148b39ba7c3a33336a08e94509 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-d5be-7b53-996f-734b168bfaad"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Gender\\\",\\n \\\"Survey_Date\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"Gender\\\") AS \\\"share_within_group\\\"\\nFROM (\\n SELECT\\n \\\"Gender\\\",\\n \\\"Survey_Date\\\",\\n SUM(CAST(\\\"Quality_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Gender\\\", \\\"Survey_Date\\\"\\n)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=\\\"Gender\\\", item_col=\\\"Survey_Date\\\", and measure_col=\\\"Quality_Score\\\". \\\"Quality_Score\\\" is cast to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16799,"cached_input_tokens":15744,"output_tokens":1148,"reasoning_output_tokens":958}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3a1a202b799c0dece0c63081bc722524375516b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Gender\",\n \"Survey_Date\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"Gender\") AS \"share_within_group\"\nFROM (\n SELECT\n \"Gender\",\n \"Survey_Date\",\n SUM(CAST(\"Quality_Score\" AS REAL)) AS \"total_measure\"\n FROM \"m1\"\n GROUP BY \"Gender\", \"Survey_Date\"\n)\nORDER BY \"share_within_group\" DESC;","notes":"Uses the planned Within-Group Share of Total template with group_col=\"Gender\", item_col=\"Survey_Date\", and measure_col=\"Quality_Score\". \"Quality_Score\" is cast to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4e6c783d8b442bafb5a96349704bb65c14e7f0e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17179, "bytes_utf8": 17179, "lines": 459, "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": 846, "bytes_utf8": 846, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16898, "cached_input_tokens": 15744, "output_tokens": 695, "reasoning_output_tokens": 464}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c658a2b020516ac8d83366959608bf69919cfec2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_880f452f0c5961bf", + "api_calls": 0, + "input_tokens": 16898, + "cached_input_tokens": 15744, + "output_tokens": 695, + "total_tokens": 17593, + "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": 20787.65, + "sql_execution_elapsed_ms_total": 1.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4865a7f3414a532400140ba94a93403f456d21b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/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": "2026-05-19T15:40:20.388274+00:00", + "ended_at": "2026-05-19T15:40:41.175969+00:00", + "elapsed_ms": 20787.65, + "prompt_metrics": { + "chars": 17179, + "bytes_utf8": 17179, + "lines": 459, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1915, + "bytes_utf8": 1915, + "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": 846, + "bytes_utf8": 846, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16898, + "cached_input_tokens": 15744, + "output_tokens": 695, + "reasoning_output_tokens": 464 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c8554e68e563b53f82019b8b1f81b84e1127aa0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,459 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=Marital_Status, condition_col=Manager_Support_Level.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "Marital_Status", + "condition_col": "Manager_Support_Level", + "condition_value": "Moderate", + "positive_value": "Moderate", + "negative_value": "High", + "top_k": 11, + "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": 95.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..286595e5129d33526b1282d96400f0348f1178c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e5-2946-7103-823b-d0767d5f0ab8"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1990504, Requested 17533. Please try again in 241ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 17533. Please try again in 525ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Marital_Status\\\",\\n SUM(CASE WHEN \\\"Manager_Support_Level\\\" = 'Moderate' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"Manager_Support_Level\\\" = 'High' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Marital_Status\\\"\\n)\\nSELECT\\n \\\"Marital_Status\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Implements the grouped ratio template with group_col=\\\"Marital_Status\\\" and condition_col=\\\"Manager_Support_Level\\\", computing the ratio of 'Moderate' to 'High' support counts for each marital status. NULLIF prevents division by zero when a group has no 'High' rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16898,"cached_input_tokens":15744,"output_tokens":695,"reasoning_output_tokens":464}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d875b63d07252226fd195cdecf5506257e49eb1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions.\nWITH \"grouped\" AS (\n SELECT\n \"Marital_Status\",\n SUM(CASE WHEN \"Manager_Support_Level\" = 'Moderate' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"Manager_Support_Level\" = 'High' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m1\"\n GROUP BY \"Marital_Status\"\n)\nSELECT\n \"Marital_Status\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;","notes":"Implements the grouped ratio template with group_col=\"Marital_Status\" and condition_col=\"Manager_Support_Level\", computing the ratio of 'Moderate' to 'High' support counts for each marital status. NULLIF prevents division by zero when a group has no 'High' rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8e0a15dc64d0b3ec2b9082bf9214b2fc7d57d03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16513, "bytes_utf8": 16513, "lines": 454, "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": 680, "bytes_utf8": 680, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16740, "cached_input_tokens": 12032, "output_tokens": 595, "reasoning_output_tokens": 400}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0539a18e7e9f165fe91ef47470b55f0960b26875 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8ed1fe529e96b24b", + "api_calls": 0, + "input_tokens": 16740, + "cached_input_tokens": 12032, + "output_tokens": 595, + "total_tokens": 17335, + "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": 13804.51, + "sql_execution_elapsed_ms_total": 2.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6130d40a83a34c423165c5d2fd0aadd1a430d15e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/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": "2026-05-19T15:46:13.281422+00:00", + "ended_at": "2026-05-19T15:46:27.085966+00:00", + "elapsed_ms": 13804.51, + "prompt_metrics": { + "chars": 16513, + "bytes_utf8": 16513, + "lines": 454, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1070, + "bytes_utf8": 1070, + "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": 680, + "bytes_utf8": 680, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16740, + "cached_input_tokens": 12032, + "output_tokens": 595, + "reasoning_output_tokens": 400 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..15c390e9d713775990e3860e424dc54386c2b6ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,454 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m1", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Commute_Time_Minutes.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "Commute_Time_Minutes", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "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 buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1eb5c6d806c02cac29e2927c538089741cb92385 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-8bc8-7671-84c9-1f2cf444e98a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"Commute_Time_Minutes\\\" AS REAL) AS \\\"Commute_Time_Minutes\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Commute_Time_Minutes\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Commute_Time_Minutes\\\" IS NOT NULL\\n AND TRIM(\\\"Commute_Time_Minutes\\\") <> ''\\n)\\nSELECT \\\"Commute_Time_Minutes\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Commute_Time_Minutes\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"Commute_Time_Minutes\\\" and num_tiles=10. Cast to REAL because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16740,"cached_input_tokens":12032,"output_tokens":595,"reasoning_output_tokens":400}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84ae35626336241d80b67da9a05c655b833e9f4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"Commute_Time_Minutes\" AS REAL) AS \"Commute_Time_Minutes\",\n NTILE(10) OVER (ORDER BY CAST(\"Commute_Time_Minutes\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m1\"\n WHERE \"Commute_Time_Minutes\" IS NOT NULL\n AND TRIM(\"Commute_Time_Minutes\") <> ''\n)\nSELECT \"Commute_Time_Minutes\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"Commute_Time_Minutes\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"Commute_Time_Minutes\" and num_tiles=10. Cast to REAL because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8ed1fe529e96b24b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae3f64bae2741ed7f674989bf02359680e5c45b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16595, "bytes_utf8": 16595, "lines": 459, "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": 446, "bytes_utf8": 446, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16744, "cached_input_tokens": 15744, "output_tokens": 296, "reasoning_output_tokens": 185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aeeeeac0df1225abcf9cfa7faee7eea1535ae3e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_b77815aeee05cd58", + "api_calls": 0, + "input_tokens": 16744, + "cached_input_tokens": 15744, + "output_tokens": 296, + "total_tokens": 17040, + "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": 11936.31, + "sql_execution_elapsed_ms_total": 1.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8fccaba66a61b1e8e6b9cc4eee03f015bf066732 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:12.057592+00:00", + "ended_at": "2026-05-19T16:05:23.993934+00:00", + "elapsed_ms": 11936.31, + "prompt_metrics": { + "chars": 16595, + "bytes_utf8": 16595, + "lines": 459, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 801, + "bytes_utf8": 801, + "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": 446, + "bytes_utf8": 446, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16744, + "cached_input_tokens": 15744, + "output_tokens": 296, + "reasoning_output_tokens": 185 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a0b1e22041295000c6e20b2adbfa1cdd6b6b2bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,459 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m1", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Education_Level, condition_col=Response_Quality.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Education_Level", + "condition_col": "Response_Quality", + "condition_value": "High", + "positive_value": "High", + "negative_value": "Medium", + "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": 96.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..116710c80b197ebe638ed40df455e224dba2d53d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ebf1-70e3-ab89-b2f1b57faad8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Education_Level\\\",\\n AVG(CASE WHEN \\\"Response_Quality\\\" = 'High' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Education_Level\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"Education_Level\\\" and condition_col=\\\"Response_Quality\\\", measuring the rate of 'High' response quality within each education level.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16744,"cached_input_tokens":15744,"output_tokens":296,"reasoning_output_tokens":185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9f82c9aff57737556750645bb481b4759f1ae31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Education_Level\",\n AVG(CASE WHEN \"Response_Quality\" = 'High' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m1\"\nGROUP BY \"Education_Level\"\nORDER BY condition_rate DESC;","notes":"Uses the Grouped Condition Rate template with group_col=\"Education_Level\" and condition_col=\"Response_Quality\", measuring the rate of 'High' response quality within each education level."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b77815aeee05cd58/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f55fe64a19e9266bf7c31f4cf8ab4ac5bc673fe3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/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": "2026-05-19T16:10:07.949717+00:00", + "ended_at": "2026-05-19T16:10:10.996102+00:00", + "elapsed_ms": 3046.36, + "returncode": 1, + "prompt_metrics": { + "chars": 16437, + "bytes_utf8": 16437, + "lines": 456, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..22da6c6645aa3d59f5a30eccea26db3adc5578c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/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": "2026-05-19T16:10:11.997948+00:00", + "ended_at": "2026-05-19T16:10:15.120942+00:00", + "elapsed_ms": 3122.96, + "returncode": 1, + "prompt_metrics": { + "chars": 16437, + "bytes_utf8": 16437, + "lines": 456, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc060ffe219a3db75c16cd51c8213f4621f408dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,456 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Response_Quality, measure_col=Meetings_Per_Week.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Response_Quality", + "measure_col": "Meetings_Per_Week", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 9.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc060ffe219a3db75c16cd51c8213f4621f408dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,456 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Response_Quality, measure_col=Meetings_Per_Week.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Response_Quality", + "measure_col": "Meetings_Per_Week", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 9.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb22b51cd33107aab1b226b93fac805156d0cda3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6fcf-74c1-b3fe-280d5083c433"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..465ba4b18af596105cd7f7e860e8a3ad988df51f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6fcf-74c1-b3fe-280d5083c433"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8a63124d6887841a5a2e0490c2144698ebbb29a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7f97-7551-9212-71aef24537e8"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c23502d9696ac1a83d7ba35b8fc535e1fce33e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7f97-7551-9212-71aef24537e8"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd5caf91611a2686/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..62fb57f8d23255915fcd4bd5b583c981a66ae23d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16778, "bytes_utf8": 16778, "lines": 458, "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": 857, "bytes_utf8": 857, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16809, "cached_input_tokens": 12032, "output_tokens": 957, "reasoning_output_tokens": 724}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b0b10f5a75bb16109e3455ae7bd5918d7137592 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_db58c55ec04c817e", + "api_calls": 0, + "input_tokens": 16809, + "cached_input_tokens": 12032, + "output_tokens": 957, + "total_tokens": 17766, + "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": 17936.9, + "sql_execution_elapsed_ms_total": 2.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..93ea892b7e390a51b00fbfbeacc40836ec0539eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:09.332193+00:00", + "ended_at": "2026-05-19T15:39:27.269119+00:00", + "elapsed_ms": 17936.9, + "prompt_metrics": { + "chars": 16778, + "bytes_utf8": 16778, + "lines": 458, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1259, + "bytes_utf8": 1259, + "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": 857, + "bytes_utf8": 857, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16809, + "cached_input_tokens": 12032, + "output_tokens": 957, + "reasoning_output_tokens": 724 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54f00a92bfe0a51780da502b36b43ed3eadfb0dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,458 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Response_Quality, measure_col=Task_Completion_Rate.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Response_Quality", + "measure_col": "Task_Completion_Rate", + "item_col": "Job_Satisfaction", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 92.1, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f07a3653a4d1504ea9f5771d5bd3b22f9cf0dcb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-139c-7580-8409-ac602810e08a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Response_Quality\\\",\\n \\\"Job_Satisfaction\\\",\\n SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL))) OVER (PARTITION BY \\\"Response_Quality\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Response_Quality\\\" IS NOT NULL\\n AND \\\"Job_Satisfaction\\\" IS NOT NULL\\n AND \\\"Task_Completion_Rate\\\" IS NOT NULL\\nGROUP BY \\\"Response_Quality\\\", \\\"Job_Satisfaction\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\",\"notes\":\"Used the bound template roles exactly: group_col=\\\"Response_Quality\\\", item_col=\\\"Job_Satisfaction\\\", measure_col=\\\"Task_Completion_Rate\\\". CAST is required because the schema stores numeric fields as TEXT. Grouping on \\\"Job_Satisfaction\\\" uses exact stored values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16809,"cached_input_tokens":12032,"output_tokens":957,"reasoning_output_tokens":724}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bdf951026c6d16bcfc6f003c5c0d357a9133716 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Response_Quality\",\n \"Job_Satisfaction\",\n SUM(CAST(\"Task_Completion_Rate\" AS REAL)) AS total_measure,\n SUM(CAST(\"Task_Completion_Rate\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Task_Completion_Rate\" AS REAL))) OVER (PARTITION BY \"Response_Quality\") AS share_within_group\nFROM \"m1\"\nWHERE \"Response_Quality\" IS NOT NULL\n AND \"Job_Satisfaction\" IS NOT NULL\n AND \"Task_Completion_Rate\" IS NOT NULL\nGROUP BY \"Response_Quality\", \"Job_Satisfaction\"\nORDER BY share_within_group DESC\nLIMIT 18;","notes":"Used the bound template roles exactly: group_col=\"Response_Quality\", item_col=\"Job_Satisfaction\", measure_col=\"Task_Completion_Rate\". CAST is required because the schema stores numeric fields as TEXT. Grouping on \"Job_Satisfaction\" uses exact stored values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_db58c55ec04c817e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56bb2837f9aa4f99024550eb6d7d170016bea503 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16755, "bytes_utf8": 16755, "lines": 458, "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": 16801, "cached_input_tokens": 12032, "output_tokens": 694, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e710868dffd935a8e22b396b759bbc97e1acc83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_ee7e37d3f8e9fc22", + "api_calls": 0, + "input_tokens": 16801, + "cached_input_tokens": 12032, + "output_tokens": 694, + "total_tokens": 17495, + "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": 20299.02, + "sql_execution_elapsed_ms_total": 3.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4e8de30a6d27cdd3e1b8fda9ea72879817cc5ed3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:47.279090+00:00", + "ended_at": "2026-05-19T15:35:07.578154+00:00", + "elapsed_ms": 20299.02, + "prompt_metrics": { + "chars": 16755, + "bytes_utf8": 16755, + "lines": 458, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1046, + "bytes_utf8": 1046, + "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": 16801, + "cached_input_tokens": 12032, + "output_tokens": 694, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..18b99a092004ffe74e5b0478d4ee25b85c7855a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,458 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +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": "m1", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Industry, measure_col=Job_Satisfaction.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Industry", + "measure_col": "Job_Satisfaction", + "item_col": "Years_Experience", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..77499c73c277509f61b7ba156d18ca94c43dd96d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-1406-7473-8fda-626e68006741"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Industry\\\",\\n \\\"Years_Experience\\\",\\n SUM(CAST(\\\"Job_Satisfaction\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Job_Satisfaction\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Job_Satisfaction\\\" AS REAL))) OVER (PARTITION BY \\\"Industry\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Industry\\\", \\\"Years_Experience\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"Industry\\\", item_col=\\\"Years_Experience\\\", and measure_col=\\\"Job_Satisfaction\\\". CAST to REAL is used because \\\"Job_Satisfaction\\\" is stored as TEXT in the schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16801,"cached_input_tokens":12032,"output_tokens":694,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd81e3b84fbe7c665ce95685025ac3b85a716931 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Industry\",\n \"Years_Experience\",\n SUM(CAST(\"Job_Satisfaction\" AS REAL)) AS total_measure,\n SUM(CAST(\"Job_Satisfaction\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Job_Satisfaction\" AS REAL))) OVER (PARTITION BY \"Industry\") AS share_within_group\nFROM \"m1\"\nGROUP BY \"Industry\", \"Years_Experience\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"Industry\", item_col=\"Years_Experience\", and measure_col=\"Job_Satisfaction\". CAST to REAL is used because \"Job_Satisfaction\" is stored as TEXT in the schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee7e37d3f8e9fc22/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f8c5ac7db261f61202d65e62bf88acc88a7ccda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16621, "bytes_utf8": 16621, "lines": 459, "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": 478, "bytes_utf8": 478, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16749, "cached_input_tokens": 12032, "output_tokens": 280, "reasoning_output_tokens": 161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2693b37c3301c890d17865ea01c75935bf5c778e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/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": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_f93a2277087a81a1", + "api_calls": 0, + "input_tokens": 16749, + "cached_input_tokens": 12032, + "output_tokens": 280, + "total_tokens": 17029, + "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": 8638.87, + "sql_execution_elapsed_ms_total": 1.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ca0f4f4f6f8bc8138aad14ee763cb20af0393a01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/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": "2026-05-19T16:02:42.059297+00:00", + "ended_at": "2026-05-19T16:02:50.698191+00:00", + "elapsed_ms": 8638.87, + "prompt_metrics": { + "chars": 16621, + "bytes_utf8": 16621, + "lines": 459, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 825, + "bytes_utf8": 825, + "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": 478, + "bytes_utf8": 478, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16749, + "cached_input_tokens": 12032, + "output_tokens": 280, + "reasoning_output_tokens": 161 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c71a86d752cf37610a2e6691ed9fa3b48e8f17e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,459 @@ +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: . +- 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: m1 +- dataset_name: Remote Worker Productivity +- table_name: m1 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one employee survey/assessment record in a remote-work context. +- task_type: classification +- target_column: Response_Quality +- main_row_count: 1500 +- important_fields: +- Employee_ID: role=identifier, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Employee identifier. +- Age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Employee age in years. +- Years_Experience: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Years of professional experience. +- WFH_Days_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of work-from-home days per week. +- Gender: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Self-reported gender category. +- Education_Level: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Highest education category. +- Marital_Status: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Marital status category. +- Has_Children: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Whether the employee has children. +- Location_Type: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential location type. +- Department: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Work department/function. +- Job_Level: role=feature, type=categorical_ordinal. ordered=['Junior', 'Mid-Level', 'Senior', 'Lead', 'Manager', 'Director'] tags=['condition_candidate', 'subgroup_candidate'] desc=Job seniority level. +- Company_Size: role=feature, type=categorical_ordinal. ordered=['Startup (1-50)', 'Small (51-200)', 'Medium (201-1000)', 'Large (1001-5000)', 'Enterprise (5000+)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Employer size bracket. +- Industry: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Industry sector. +- Home_Office_Quality: role=feature, type=categorical_ordinal. ordered=['Poor', 'Average', 'Good', 'Excellent'] tags=['condition_candidate', 'subgroup_candidate'] desc=Self-rated home office quality. +- Internet_Speed_Category: role=feature, type=categorical_ordinal. ordered=['Slow (<25 Mbps)', 'Moderate (25-50 Mbps)', 'Fast (50-100 Mbps)', 'Very Fast (100+ Mbps)'] tags=['condition_candidate', 'subgroup_candidate'] desc=Internet speed category at home office. +- Work_Hours_Per_Week: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Average work hours per week. +- Manager_Support_Level: role=feature, type=categorical_ordinal. ordered=['Very Low', 'Low', 'Moderate', 'High', 'Very High'] tags=['condition_candidate', 'subgroup_candidate'] desc=Perceived manager support level. +- Team_Collaboration_Frequency: role=feature, type=categorical_ordinal. ordered=['Monthly', 'Bi-weekly', 'Weekly', 'Few times per week', 'Daily'] tags=['condition_candidate', 'subgroup_candidate'] desc=Frequency of team collaboration. +- Productivity_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Productivity score. +- Task_Completion_Rate: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Task completion rate score. +- Quality_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Work quality score. +- Innovation_Score: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Innovation score. +- Efficiency_Rating: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Efficiency rating score. +- Meetings_Per_Week: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure'] desc=Number of meetings per week. +- Commute_Time_Minutes: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Typical commute time in minutes. +- Job_Satisfaction: role=feature, type=numeric_score. tags=['condition_candidate', 'measure', 'response_candidate'] desc=Job satisfaction score. +- Stress_Level: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Stress level (scaled score). +- Work_Life_Balance: role=feature, type=numeric_ordinal_scale. tags=['condition_candidate', 'measure'] desc=Work-life balance score (scaled). +- Survey_Date: role=feature, type=date. tags=['time_candidate', 'condition_candidate'] desc=Survey date. +- Response_Quality: role=target, type=categorical_ordinal_target. ordered=['Low', 'Medium', 'High'] tags=['target_candidate'] desc=Response quality class label. +- useful_field_combinations: [['Department', 'Job_Level', 'Response_Quality'], ['Manager_Support_Level', 'Team_Collaboration_Frequency', 'Response_Quality'], ['WFH_Days_Per_Week', 'Home_Office_Quality', 'Productivity_Score']] +- fields_requiring_caution: ['Employee_ID', 'Productivity_Score', 'Task_Completion_Rate', 'Quality_Score', 'Efficiency_Rating', 'Job_Satisfaction'] +- source_url: https://huggingface.co/datasets/nprak26/remote-worker-productivity + +SQLite schema snapshot: +{ + "table_name": "m1", + "quoted_table_name": "\"m1\"", + "row_count": 1500, + "columns": [ + { + "name": "Employee_ID", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Years_Experience", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "WFH_Days_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Gender", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Education_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Marital_Status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Has_Children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Location_Type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Department", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Company_Size", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Industry", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Home_Office_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Internet_Speed_Category", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Hours_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Manager_Support_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Team_Collaboration_Frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Productivity_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Task_Completion_Rate", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Quality_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Innovation_Score", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Efficiency_Rating", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Meetings_Per_Week", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Commute_Time_Minutes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Job_Satisfaction", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Stress_Level", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Work_Life_Balance", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Survey_Date", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Response_Quality", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Employee_ID": "EMP0001", + "Age": "39", + "Years_Experience": "10", + "WFH_Days_Per_Week": "2", + "Gender": "Female", + "Education_Level": "Associate Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Product", + "Job_Level": "Mid-Level", + "Company_Size": "Large (1001-5000)", + "Industry": "Finance", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "41", + "Manager_Support_Level": "Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "52.2", + "Task_Completion_Rate": "56.6", + "Quality_Score": "58.1", + "Innovation_Score": "52.1", + "Efficiency_Rating": "72.1", + "Meetings_Per_Week": "4", + "Commute_Time_Minutes": "48", + "Job_Satisfaction": "55.9", + "Stress_Level": "6", + "Work_Life_Balance": "8", + "Survey_Date": "2024-04-05", + "Response_Quality": "Medium" + }, + { + "Employee_ID": "EMP0002", + "Age": "33", + "Years_Experience": "4", + "WFH_Days_Per_Week": "5", + "Gender": "Female", + "Education_Level": "Master Degree", + "Marital_Status": "Married", + "Has_Children": "No", + "Location_Type": "Urban", + "Department": "Customer Success", + "Job_Level": "Senior", + "Company_Size": "Startup (1-50)", + "Industry": "Education", + "Home_Office_Quality": "Good", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "52", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Monthly", + "Productivity_Score": "81.5", + "Task_Completion_Rate": "70.8", + "Quality_Score": "93.3", + "Innovation_Score": "77.9", + "Efficiency_Rating": "89.5", + "Meetings_Per_Week": "12", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "96.1", + "Stress_Level": "3", + "Work_Life_Balance": "8", + "Survey_Date": "2024-01-29", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0003", + "Age": "40", + "Years_Experience": "3", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "PhD", + "Marital_Status": "Single", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Operations", + "Job_Level": "Mid-Level", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Fast (50-100 Mbps)", + "Work_Hours_Per_Week": "43", + "Manager_Support_Level": "Moderate", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "82.2", + "Task_Completion_Rate": "81.9", + "Quality_Score": "84.7", + "Innovation_Score": "63.2", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "15", + "Commute_Time_Minutes": "24", + "Job_Satisfaction": "90.4", + "Stress_Level": "5", + "Work_Life_Balance": "6", + "Survey_Date": "2024-01-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0004", + "Age": "48", + "Years_Experience": "14", + "WFH_Days_Per_Week": "3", + "Gender": "Male", + "Education_Level": "Bachelor Degree", + "Marital_Status": "Married", + "Has_Children": "Yes", + "Location_Type": "Urban", + "Department": "Finance", + "Job_Level": "Manager", + "Company_Size": "Medium (201-1000)", + "Industry": "Technology", + "Home_Office_Quality": "Excellent", + "Internet_Speed_Category": "Very Fast (100+ Mbps)", + "Work_Hours_Per_Week": "45", + "Manager_Support_Level": "High", + "Team_Collaboration_Frequency": "Daily", + "Productivity_Score": "75.6", + "Task_Completion_Rate": "70.2", + "Quality_Score": "67.8", + "Innovation_Score": "82.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "8", + "Commute_Time_Minutes": "8", + "Job_Satisfaction": "100.0", + "Stress_Level": "10", + "Work_Life_Balance": "5", + "Survey_Date": "2024-04-18", + "Response_Quality": "High" + }, + { + "Employee_ID": "EMP0005", + "Age": "32", + "Years_Experience": "6", + "WFH_Days_Per_Week": "5", + "Gender": "Male", + "Education_Level": "High School", + "Marital_Status": "Divorced", + "Has_Children": "Yes", + "Location_Type": "Rural", + "Department": "Engineering", + "Job_Level": "Senior", + "Company_Size": "Small (51-200)", + "Industry": "Technology", + "Home_Office_Quality": "Average", + "Internet_Speed_Category": "Moderate (25-50 Mbps)", + "Work_Hours_Per_Week": "42", + "Manager_Support_Level": "Very Low", + "Team_Collaboration_Frequency": "Few times per week", + "Productivity_Score": "98.0", + "Task_Completion_Rate": "98.2", + "Quality_Score": "86.4", + "Innovation_Score": "67.5", + "Efficiency_Rating": "95.0", + "Meetings_Per_Week": "10", + "Commute_Time_Minutes": "0", + "Job_Satisfaction": "100.0", + "Stress_Level": "3", + "Work_Life_Balance": "4", + "Survey_Date": "2024-02-19", + "Response_Quality": "High" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m1", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Manager_Support_Level, condition_col=Location_Type.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "Manager_Support_Level", + "condition_col": "Location_Type", + "condition_value": "Suburban", + "positive_value": "Suburban", + "negative_value": "Urban", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..38b538a9a380fba30ff5666ea12e39027cee8aca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-a22d-7ff1-9bc7-a07d0fe6ab7f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Manager_Support_Level\\\",\\n AVG(CASE WHEN \\\"Location_Type\\\" = 'Suburban' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Manager_Support_Level\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col bound to Manager_Support_Level and condition_col bound to Location_Type, measuring the within-group proportion of rows where Location_Type is 'Suburban'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16749,"cached_input_tokens":12032,"output_tokens":280,"reasoning_output_tokens":161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2bfff42ebac9b431b8876e72662fe1159efeb38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"Manager_Support_Level\",\n AVG(CASE WHEN \"Location_Type\" = 'Suburban' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m1\"\nGROUP BY \"Manager_Support_Level\"\nORDER BY condition_rate DESC;","notes":"Uses the Grouped Condition Rate template with group_col bound to Manager_Support_Level and condition_col bound to Location_Type, measuring the within-group proportion of rows where Location_Type is 'Suburban'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc8e267af94d3307c9ab02f8c6cdefb7ecf24a15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_16, measure_col=feature_1. +Result preview: [{"feature_16": "49", "feature_2": "100", "total_measure": 1292.0, "share_within_group": 88.98071625344353}, {"feature_16": "46", "feature_2": "100", "total_measure": 1411.0, "share_within_group": 88.85390428211586}, {"feature_16": "29", "feature_2": "100", "total_measure": 2658.0, "share_within_group": 85.63144329896907}, {"feature_16": "31", "feature_2": "100", "total_measure": 2178.0, "share_within_group": 83.9306358381503}, {"feature_16": "27", "feature_2": "100", "total_measure": 3028.0, "share_within_group": 82.05962059620596}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..295dbdcedaa4f7099822fc9c313916020fc9e978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_0086d96e152bf87a +-- problem_id: v2p_n9_9842147e9bb0c023 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_16", "feature_2", + SUM(CAST("feature_1" AS REAL)) AS "total_measure", + SUM(CAST("feature_1" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_1" AS REAL))) OVER (PARTITION BY "feature_16") AS "share_within_group" +FROM "n9" +GROUP BY "feature_16", "feature_2" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..79971edd6c24b714436155b95eb3826f903ebfc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/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_tpcds_within_group_share\nSELECT \"feature_16\", \"feature_2\",\n SUM(CAST(\"feature_1\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"feature_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_1\" AS REAL))) OVER (PARTITION BY \"feature_16\") AS \"share_within_group\"\nFROM \"n9\"\nGROUP BY \"feature_16\", \"feature_2\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_16\\\", \\\"feature_2\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_16\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\", \\\"feature_2\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"feature_16\", \"feature_2\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_16\": \"49\", \"feature_2\": \"100\", \"total_measure\": 1292.0, \"share_within_group\": 88.98071625344353}, {\"feature_16\": \"46\", \"feature_2\": \"100\", \"total_measure\": 1411.0, \"share_within_group\": 88.85390428211586}, {\"feature_16\": \"29\", \"feature_2\": \"100\", \"total_measure\": 2658.0, \"share_within_group\": 85.63144329896907}, {\"feature_16\": \"31\", \"feature_2\": \"100\", \"total_measure\": 2178.0, \"share_within_group\": 83.9306358381503}, {\"feature_16\": \"27\", \"feature_2\": \"100\", \"total_measure\": 3028.0, \"share_within_group\": 82.05962059620596}, {\"feature_16\": \"36\", \"feature_2\": \"100\", \"total_measure\": 1423.0, \"share_within_group\": 81.68771526980483}, {\"feature_16\": \"37\", \"feature_2\": \"100\", \"total_measure\": 1897.0, \"share_within_group\": 80.82658713250959}, {\"feature_16\": \"32\", \"feature_2\": \"100\", \"total_measure\": 1763.0, \"share_within_group\": 79.99092558983666}, {\"feature_16\": \"28\", \"feature_2\": \"100\", \"total_measure\": 2502.0, \"share_within_group\": 76.96093509689327}, {\"feature_16\": \"30\", \"feature_2\": \"100\", \"total_measure\": 1728.0, \"share_within_group\": 76.83414851044908}, {\"feature_16\": \"35\", \"feature_2\": \"100\", \"total_measure\": 1409.0, \"share_within_group\": 74.58973001588141}, {\"feature_16\": \"23\", \"feature_2\": \"100\", \"total_measure\": 2543.0, \"share_within_group\": 74.40023405500293}, {\"feature_16\": \"26\", \"feature_2\": \"100\", \"total_measure\": 2234.0, \"share_within_group\": 74.16998671978752}, {\"feature_16\": \"22\", \"feature_2\": \"100\", \"total_measure\": 2821.0, \"share_within_group\": 74.08088235294117}, {\"feature_16\": \"25\", \"feature_2\": \"100\", \"total_measure\": 2859.0, \"share_within_group\": 72.16052498738011}, {\"feature_16\": \"39\", \"feature_2\": \"100\", \"total_measure\": 992.0, \"share_within_group\": 70.75606276747503}, {\"feature_16\": \"43\", \"feature_2\": \"100\", \"total_measure\": 866.0, \"share_within_group\": 70.46379170056957}, {\"feature_16\": \"33\", \"feature_2\": \"100\", \"total_measure\": 1697.0, \"share_within_group\": 69.72062448644208}, {\"feature_16\": \"38\", \"feature_2\": \"100\", \"total_measure\": 1126.0, \"share_within_group\": 69.46329426280074}, {\"feature_16\": \"34\", \"feature_2\": \"100\", \"total_measure\": 1475.0, \"share_within_group\": 68.00368833563854}, {\"feature_16\": \"40\", \"feature_2\": \"100\", \"total_measure\": 1061.0, \"share_within_group\": 67.88227767114523}, {\"feature_16\": \"21\", \"feature_2\": \"100\", \"total_measure\": 2776.0, \"share_within_group\": 67.80654616511968}, {\"feature_16\": \"42\", \"feature_2\": \"100\", \"total_measure\": 991.0, \"share_within_group\": 66.33199464524766}, {\"feature_16\": \"24\", \"feature_2\": \"100\", \"total_measure\": 2248.0, \"share_within_group\": 65.8465143526655}, {\"feature_16\": \"44\", \"feature_2\": \"100\", \"total_measure\": 589.0, \"share_within_group\": 65.15486725663717}, {\"feature_16\": \"20\", \"feature_2\": \"100\", \"total_measure\": 2423.0, \"share_within_group\": 63.89767932489451}, {\"feature_16\": \"47\", \"feature_2\": \"100\", \"total_measure\": 678.0, \"share_within_group\": 62.08791208791209}, {\"feature_16\": \"48\", \"feature_2\": \"100\", \"total_measure\": 669.0, \"share_within_group\": 60.65276518585675}, {\"feature_16\": \"51\", \"feature_2\": \"100\", \"total_measure\": 397.0, \"share_within_group\": 60.24279210925645}, {\"feature_16\": \"18\", \"feature_2\": \"100\", \"total_measure\": 2234.0, \"share_within_group\": 59.44651410324641}, {\"feature_16\": \"19\", \"feature_2\": \"100\", \"total_measure\": 3239.0, \"share_within_group\": 57.9946284691137}, {\"feature_16\": \"41\", \"feature_2\": \"100\", \"total_measure\": 721.0, \"share_within_group\": 57.633892885691445}, {\"feature_16\": \"99\", \"feature_2\": \"100\", \"total_measure\": 1972.0, \"share_within_group\": 56.73187571921749}, {\"feature_16\": \"97\", \"feature_2\": \"100\", \"total_measure\": 1602.0, \"share_within_group\": 56.547829156371336}, {\"feature_16\": \"96\", \"feature_2\": \"100\", \"total_measure\": 1573.0, \"share_within_group\": 56.359727696166246}, {\"feature_16\": \"50\", \"feature_2\": \"100\", \"total_measure\": 410.0, \"share_within_group\": 54.232804232804234}, {\"feature_16\": \"45\", \"feature_2\": \"100\", \"total_measure\": 491.0, \"share_within_group\": 53.253796095444685}, {\"feature_16\": \"17\", \"feature_2\": \"100\", \"total_measure\": 1491.0, \"share_within_group\": 52.94744318181818}, {\"feature_16\": \"15\", \"feature_2\": \"100\", \"total_measure\": 2280.0, \"share_within_group\": 52.802223251505325}, {\"feature_16\": \"53\", \"feature_2\": \"100\", \"total_measure\": 318.0, \"share_within_group\": 49.074074074074076}, {\"feature_16\": \"16\", \"feature_2\": \"100\", \"total_measure\": 2271.0, \"share_within_group\": 48.16542948038176}, {\"feature_16\": \"13\", \"feature_2\": \"100\", \"total_measure\": 2109.0, \"share_within_group\": 47.866545619609624}, {\"feature_16\": \"0\", \"feature_2\": \"100\", \"total_measure\": 67853.0, \"share_within_group\": 47.37411679280588}, {\"feature_16\": \"95\", \"feature_2\": \"100\", \"total_measure\": 1344.0, \"share_within_group\": 47.22417427969079}, {\"feature_16\": \"59\", \"feature_2\": \"100\", \"total_measure\": 369.0, \"share_within_group\": 45.38745387453874}, {\"feature_16\": \"14\", \"feature_2\": \"100\", \"total_measure\": 1890.0, \"share_within_group\": 43.83116883116883}, {\"feature_16\": \"12\", \"feature_2\": \"100\", \"total_measure\": 2332.0, \"share_within_group\": 42.57805367902136}, {\"feature_16\": \"98\", \"feature_2\": \"100\", \"total_measure\": 1704.0, \"share_within_group\": 41.6015625}, {\"feature_16\": \"89\", \"feature_2\": \"100\", \"total_measure\": 1024.0, \"share_within_group\": 41.50790433725172}, {\"feature_16\": \"94\", \"feature_2\": \"100\", \"total_measure\": 1292.0, \"share_within_group\": 39.43833943833944}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 14.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..41fa2071f8c5494151e271a770036f9782ca30a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:38:30.602704+00:00", + "ended_at": "2026-05-19T15:38:43.026910+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_0086d96e152bf87a", + "problem_id": "v2p_n9_9842147e9bb0c023", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_16, measure_col=feature_1.", + "bindings": { + "group_col": "feature_16", + "measure_col": "feature_1", + "item_col": "feature_2", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 50.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_0086d96e152bf87a.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0086d96e152bf87a", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 518, + "total_tokens": 15577, + "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": 12406.36, + "sql_execution_elapsed_ms_total": 14.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..878ef8afb1da5d6057e4b538deac540cfd31286d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:43.010897+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12406.36, "started_at": "2026-05-19T15:38:30.603815+00:00", "ended_at": "2026-05-19T15:38:43.010193+00:00", "prompt_metrics": {"chars": 9799, "bytes_utf8": 9799, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 615, "bytes_utf8": 615, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 12032, "output_tokens": 518, "reasoning_output_tokens": 335}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_16\\\", \\\"feature_2\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_16\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\", \\\"feature_2\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_16\\\", item_col=\\\"feature_2\\\", and measure_col=\\\"feature_1\\\". Cast \\\"feature_1\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..066c81da7aae75cabb54bca5217dafe576cb1220 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0086d96e152bf87a", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 518, + "total_tokens": 15577, + "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": 12406.36, + "sql_execution_elapsed_ms_total": 14.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0086d96e152bf87a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c229941988ac3336c5396ff6211936ec6c3b3054 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3. +Result preview: [{"feature_3": "100"}, {"feature_3": "100"}, {"feature_3": "100"}, {"feature_3": "100"}, {"feature_3": "100"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..03f697071457eb8e9c15114cb55767be40fc6756 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n9_009274372ae62a75 +-- problem_id: v2p_n9_a191fbf72222a3bd +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "feature_3", + NTILE(10) OVER (ORDER BY CAST("feature_3" AS INTEGER) DESC) AS tail_bucket + FROM "n9" +) +SELECT "feature_3" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("feature_3" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c66459bc94a42af95688f65f8edadce946b65be8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/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_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"feature_3\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_3\" AS INTEGER) DESC) AS tail_bucket\n FROM \"n9\"\n)\nSELECT \"feature_3\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"feature_3\" AS INTEGER) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"feature_3\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_3\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_3\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_3\\\" AS INTEGER) DESC;\", \"columns\": [\"feature_3\"], \"rows\": [{\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}, {\"feature_3\": \"100\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.73}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..be54d7946879162986e44726a92dd26346bc7802 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:45:19.967277+00:00", + "ended_at": "2026-05-19T15:45:33.999786+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_009274372ae62a75", + "problem_id": "v2p_n9_a191fbf72222a3bd", + "dataset_id": "n9", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.", + "bindings": { + "measure_col": "feature_3", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 58.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=66" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_009274372ae62a75.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_009274372ae62a75", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 536, + "total_tokens": 15527, + "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": 14016.45, + "sql_execution_elapsed_ms_total": 12.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d660c56844ac225c934f1b43e6e244a18c26e380 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:33.985682+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14016.45, "started_at": "2026-05-19T15:45:19.968475+00:00", "ended_at": "2026-05-19T15:45:33.984945+00:00", "prompt_metrics": {"chars": 9558, "bytes_utf8": 9558, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 547, "bytes_utf8": 547, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 536, "reasoning_output_tokens": 385}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"feature_3\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_3\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_3\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_3\\\" AS INTEGER) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_3\\\" and num_tiles=10. CAST(\\\"feature_3\\\" AS INTEGER) is used for correct numeric ordering because the SQLite schema stores features as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..45f885c29d8d3a22afed2fb1afd10e3923769551 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_009274372ae62a75", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 536, + "total_tokens": 15527, + "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": 14016.45, + "sql_execution_elapsed_ms_total": 12.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_009274372ae62a75/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd4f09f90720d4133a9e173f76dba01fe95669ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_13. +Result preview: [{"empirical_cdf_at_threshold": 0.7520014556040757}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..63d43ce9825cd708f3465495c73fc24c1b26ee14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n9_04c4c9066453fea0 +-- problem_id: v2p_n9_82f2807f541ddc13 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("feature_13" AS REAL) <= 68.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "n9"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..73f0fd4dc678af7168a5a0beb90f11ad9af13874 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/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_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_13\" AS REAL) <= 68.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_13\\\" AS REAL) <= 68.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7520014556040757}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ccb01b991cb8d1e244414ec331032d75473dfbeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:03:42.759717+00:00", + "ended_at": "2026-05-19T16:03:51.917750+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_04c4c9066453fea0", + "problem_id": "v2p_n9_82f2807f541ddc13", + "dataset_id": "n9", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_13.", + "bindings": { + "measure_col": "feature_13", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 68.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=108" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_04c4c9066453fea0.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_04c4c9066453fea0", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 368, + "total_tokens": 15295, + "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": 9150.07, + "sql_execution_elapsed_ms_total": 2.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1dfd01889c68f3f9e58b322d8471c44ae7a17a57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:51.912865+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9150.07, "started_at": "2026-05-19T16:03:42.761627+00:00", "ended_at": "2026-05-19T16:03:51.911727+00:00", "prompt_metrics": {"chars": 9326, "bytes_utf8": 9326, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 12032, "output_tokens": 368, "reasoning_output_tokens": 259}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_13\\\" AS REAL) <= 68.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"feature_13\\\" and measure_threshold fixed at 68.0. CAST to REAL is used because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a7c93ef90d66471ddc996de2ad66829ec680b31c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_04c4c9066453fea0", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 368, + "total_tokens": 15295, + "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": 9150.07, + "sql_execution_elapsed_ms_total": 2.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_04c4c9066453fea0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4579dc05cf0fe0653691dfbe2bdc666db2a912a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_7, measure_col=feature_7. +Result preview: [{"feature_7": "100", "total_measure": 89900}, {"feature_7": "68", "total_measure": 10540}, {"feature_7": "70", "total_measure": 9940}, {"feature_7": "72", "total_measure": 9576}, {"feature_7": "74", "total_measure": 9398}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..928631b372d45173f95a4703fb5ec945e27ac69a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_052b0129b719c736 +-- problem_id: v2p_n9_8ae7e1001b5fd4c5 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_7", SUM(CAST("feature_7" AS NUMERIC)) AS total_measure +FROM "n9" +GROUP BY "feature_7" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae7f3e9a5751a0f67974b1f6debfd10f310b387e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/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_h2o_group_sum\nSELECT \"feature_7\", SUM(CAST(\"feature_7\" AS NUMERIC)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_7\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_7\\\", SUM(CAST(\\\"feature_7\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_7\", \"total_measure\"], \"rows\": [{\"feature_7\": \"100\", \"total_measure\": 89900}, {\"feature_7\": \"68\", \"total_measure\": 10540}, {\"feature_7\": \"70\", \"total_measure\": 9940}, {\"feature_7\": \"72\", \"total_measure\": 9576}, {\"feature_7\": \"74\", \"total_measure\": 9398}, {\"feature_7\": \"69\", \"total_measure\": 9384}, {\"feature_7\": \"67\", \"total_measure\": 9313}, {\"feature_7\": \"66\", \"total_measure\": 8778}, {\"feature_7\": \"61\", \"total_measure\": 8662}, {\"feature_7\": \"73\", \"total_measure\": 8614}, {\"feature_7\": \"62\", \"total_measure\": 8556}, {\"feature_7\": \"65\", \"total_measure\": 8515}, {\"feature_7\": \"75\", \"total_measure\": 8400}, {\"feature_7\": \"77\", \"total_measure\": 8393}, {\"feature_7\": \"71\", \"total_measure\": 8307}, {\"feature_7\": \"79\", \"total_measure\": 8137}, {\"feature_7\": \"56\", \"total_measure\": 8120}, {\"feature_7\": \"57\", \"total_measure\": 7923}, {\"feature_7\": \"76\", \"total_measure\": 7904}, {\"feature_7\": \"63\", \"total_measure\": 7875}, {\"feature_7\": \"81\", \"total_measure\": 7695}, {\"feature_7\": \"78\", \"total_measure\": 7566}, {\"feature_7\": \"59\", \"total_measure\": 7493}, {\"feature_7\": \"60\", \"total_measure\": 7440}, {\"feature_7\": \"55\", \"total_measure\": 7370}, {\"feature_7\": \"53\", \"total_measure\": 7367}, {\"feature_7\": \"88\", \"total_measure\": 7304}, {\"feature_7\": \"54\", \"total_measure\": 7290}, {\"feature_7\": \"64\", \"total_measure\": 7232}, {\"feature_7\": \"85\", \"total_measure\": 7055}, {\"feature_7\": \"51\", \"total_measure\": 6834}, {\"feature_7\": \"58\", \"total_measure\": 6786}, {\"feature_7\": \"80\", \"total_measure\": 6720}, {\"feature_7\": \"82\", \"total_measure\": 6642}, {\"feature_7\": \"84\", \"total_measure\": 6636}, {\"feature_7\": \"52\", \"total_measure\": 6552}, {\"feature_7\": \"50\", \"total_measure\": 6400}, {\"feature_7\": \"83\", \"total_measure\": 6391}, {\"feature_7\": \"89\", \"total_measure\": 5963}, {\"feature_7\": \"87\", \"total_measure\": 5916}, {\"feature_7\": \"91\", \"total_measure\": 5824}, {\"feature_7\": \"86\", \"total_measure\": 5762}, {\"feature_7\": \"93\", \"total_measure\": 5673}, {\"feature_7\": \"95\", \"total_measure\": 5415}, {\"feature_7\": \"49\", \"total_measure\": 5390}, {\"feature_7\": \"45\", \"total_measure\": 5265}, {\"feature_7\": \"94\", \"total_measure\": 5264}, {\"feature_7\": \"47\", \"total_measure\": 5217}, {\"feature_7\": \"46\", \"total_measure\": 5198}, {\"feature_7\": \"41\", \"total_measure\": 5084}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 8.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7de4ab6e9a5d3d4df996fc3f340a85ad618ddd69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:30:55.462384+00:00", + "ended_at": "2026-05-19T15:31:04.900935+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_052b0129b719c736", + "problem_id": "v2p_n9_8ae7e1001b5fd4c5", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_7, measure_col=feature_7.", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_7", + "top_k": 16, + "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": 67.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_052b0129b719c736.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_052b0129b719c736", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 15292, + "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": 9424.52, + "sql_execution_elapsed_ms_total": 8.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0b6473ad49f044e48cb5fb6020624fd26cbc4386 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:04.890274+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9424.52, "started_at": "2026-05-19T15:30:55.464740+00:00", "ended_at": "2026-05-19T15:31:04.889298+00:00", "prompt_metrics": {"chars": 9390, "bytes_utf8": 9390, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 352, "reasoning_output_tokens": 249}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_7\\\", SUM(CAST(\\\"feature_7\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"feature_7\\\" as both the grouping column and measure column. CAST is used because the feature columns are stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2e336a2a1b6e49a91538600148c2eab4df9a539c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_052b0129b719c736", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 15292, + "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": 9424.52, + "sql_execution_elapsed_ms_total": 8.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_052b0129b719c736/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c79c806fa9593743077a39c61b2c4dc3e93c1924 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, condition_col=class. +Result preview: [{"feature_1": "71", "condition_rate": 0.3157894736842105}, {"feature_1": "56", "condition_rate": 0.2839506172839506}, {"feature_1": "63", "condition_rate": 0.27692307692307694}, {"feature_1": "60", "condition_rate": 0.25806451612903225}, {"feature_1": "74", "condition_rate": 0.25}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d2ac4297e7ca37a88796b7e6bae8c307fedb5d93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_0646409f2deb6567 +-- problem_id: v2p_n9_a0d445cb9abe6ba4 +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_1", + AVG(CASE WHEN "class" = '4' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "n9" +GROUP BY "feature_1" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ff3b360861d6e4b1a83cee05038533ce7b7ac9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/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_group_condition_rate\nSELECT\n \"feature_1\",\n AVG(CASE WHEN \"class\" = '4' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_1\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"feature_1\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"feature_1\", \"condition_rate\"], \"rows\": [{\"feature_1\": \"71\", \"condition_rate\": 0.3157894736842105}, {\"feature_1\": \"56\", \"condition_rate\": 0.2839506172839506}, {\"feature_1\": \"63\", \"condition_rate\": 0.27692307692307694}, {\"feature_1\": \"60\", \"condition_rate\": 0.25806451612903225}, {\"feature_1\": \"74\", \"condition_rate\": 0.25}, {\"feature_1\": \"37\", \"condition_rate\": 0.23529411764705882}, {\"feature_1\": \"46\", \"condition_rate\": 0.23404255319148937}, {\"feature_1\": \"50\", \"condition_rate\": 0.2328767123287671}, {\"feature_1\": \"68\", \"condition_rate\": 0.2222222222222222}, {\"feature_1\": \"38\", \"condition_rate\": 0.21951219512195122}, {\"feature_1\": \"62\", \"condition_rate\": 0.21875}, {\"feature_1\": \"47\", \"condition_rate\": 0.21794871794871795}, {\"feature_1\": \"42\", \"condition_rate\": 0.21621621621621623}, {\"feature_1\": \"64\", \"condition_rate\": 0.21153846153846154}, {\"feature_1\": \"53\", \"condition_rate\": 0.20987654320987653}, {\"feature_1\": \"72\", \"condition_rate\": 0.2033898305084746}, {\"feature_1\": \"55\", \"condition_rate\": 0.19767441860465115}, {\"feature_1\": \"48\", \"condition_rate\": 0.1951219512195122}, {\"feature_1\": \"43\", \"condition_rate\": 0.19047619047619047}, {\"feature_1\": \"58\", \"condition_rate\": 0.1864406779661017}, {\"feature_1\": \"66\", \"condition_rate\": 0.18518518518518517}, {\"feature_1\": \"36\", \"condition_rate\": 0.18446601941747573}, {\"feature_1\": \"9\", \"condition_rate\": 0.1839080459770115}, {\"feature_1\": \"39\", \"condition_rate\": 0.1827956989247312}, {\"feature_1\": \"45\", \"condition_rate\": 0.18181818181818182}, {\"feature_1\": \"25\", \"condition_rate\": 0.1794871794871795}, {\"feature_1\": \"59\", \"condition_rate\": 0.1791044776119403}, {\"feature_1\": \"44\", \"condition_rate\": 0.17894736842105263}, {\"feature_1\": \"61\", \"condition_rate\": 0.17857142857142858}, {\"feature_1\": \"29\", \"condition_rate\": 0.17857142857142858}, {\"feature_1\": \"49\", \"condition_rate\": 0.1744186046511628}, {\"feature_1\": \"20\", \"condition_rate\": 0.17391304347826086}, {\"feature_1\": \"70\", \"condition_rate\": 0.1694915254237288}, {\"feature_1\": \"51\", \"condition_rate\": 0.16883116883116883}, {\"feature_1\": \"41\", \"condition_rate\": 0.16853932584269662}, {\"feature_1\": \"35\", \"condition_rate\": 0.1651376146788991}, {\"feature_1\": \"69\", \"condition_rate\": 0.16071428571428573}, {\"feature_1\": \"28\", \"condition_rate\": 0.1590909090909091}, {\"feature_1\": \"16\", \"condition_rate\": 0.15833333333333333}, {\"feature_1\": \"21\", \"condition_rate\": 0.1574074074074074}, {\"feature_1\": \"22\", \"condition_rate\": 0.1568627450980392}, {\"feature_1\": \"76\", \"condition_rate\": 0.15384615384615385}, {\"feature_1\": \"77\", \"condition_rate\": 0.15254237288135594}, {\"feature_1\": \"19\", \"condition_rate\": 0.15}, {\"feature_1\": \"34\", \"condition_rate\": 0.1485148514851485}, {\"feature_1\": \"26\", \"condition_rate\": 0.14728682170542637}, {\"feature_1\": \"65\", \"condition_rate\": 0.14545454545454545}, {\"feature_1\": \"52\", \"condition_rate\": 0.14492753623188406}, {\"feature_1\": \"18\", \"condition_rate\": 0.14285714285714285}, {\"feature_1\": \"31\", \"condition_rate\": 0.14035087719298245}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 10.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2d468b21d29f38f4102925bd513f22986e59fbf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:03:14.261716+00:00", + "ended_at": "2026-05-19T16:03:24.673760+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_0646409f2deb6567", + "problem_id": "v2p_n9_a0d445cb9abe6ba4", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, condition_col=class.", + "bindings": { + "group_col": "feature_1", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "top_k": 17, + "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": 74.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_0646409f2deb6567.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0646409f2deb6567", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 459, + "total_tokens": 15456, + "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": 10396.28, + "sql_execution_elapsed_ms_total": 10.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6266e0f173e92b04b4d83d0a69009c5227444608 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:24.661161+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10396.28, "started_at": "2026-05-19T16:03:14.263032+00:00", "ended_at": "2026-05-19T16:03:24.659340+00:00", "prompt_metrics": {"chars": 9628, "bytes_utf8": 9628, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 390, "bytes_utf8": 390, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 459, "reasoning_output_tokens": 342}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"feature_1\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"feature_1\\\" and condition_col=\\\"class\\\", treating class='4' as the target condition.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c855c683b9004acb4837d32d9b979b96177f8eff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0646409f2deb6567", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 459, + "total_tokens": 15456, + "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": 10396.28, + "sql_execution_elapsed_ms_total": 10.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0646409f2deb6567/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a86b04100ec64b3af40564369bee4ad7e96aaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:08:03.177248+00:00", + "ended_at": "2026-05-19T16:08:10.486980+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_0811c2bf2bae56d4", + "problem_id": "v2p_n9_8ecde80d6350b890", + "dataset_id": "n9", + "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=feature_14, measure_col=feature_5.", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_5", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 69.0, + "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=2/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e816b6b81efedd8b34809475f38b8ca757346835 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0811c2bf2bae56d4/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:06.542310+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3362.31, "started_at": "2026-05-19T16:08:03.179163+00:00", "ended_at": "2026-05-19T16:08:06.541504+00:00", "prompt_metrics": {"chars": 9476, "bytes_utf8": 9476, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-8865-7db0-9989-44e21f8c4d25\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:10.486893+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2942.52, "started_at": "2026-05-19T16:08:07.543642+00:00", "ended_at": "2026-05-19T16:08:10.486197+00:00", "prompt_metrics": {"chars": 9476, "bytes_utf8": 9476, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-996f-7823-ad7b-1442db61e478\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..42612e211726fd4d42477af85a5d1ab67d44dd9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=class, measure_col=feature_2. +Result preview: [{"class": "0", "feature_3": "0", "total_measure": 32419.0, "share_within_group": 32.95585080968985}, {"class": "4", "feature_3": "0", "total_measure": 19162.0, "share_within_group": 16.827370602595852}, {"class": "8", "feature_3": "0", "total_measure": 11112.0, "share_within_group": 12.832149662220683}, {"class": "5", "feature_3": "0", "total_measure": 10649.0, "share_within_group": 11.099067173901714}, {"class": "5", "feature_3": "100", "total_measure": 10570.0, "share_within_group": 11.016728333941321}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fc9a8ca9c8bdfde174ffb842fb9739216b0b4081 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_0b08cef145edec67 +-- problem_id: v2p_n9_1ff951ac51c8ade6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "class", + "feature_3", + SUM(CAST("feature_2" AS REAL)) AS total_measure, + SUM(CAST("feature_2" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_2" AS REAL))) OVER (PARTITION BY "class") AS share_within_group +FROM "n9" +GROUP BY "class", "feature_3" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..096482c38cdc1e0a06a936ce41268bb9dd6f1234 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/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_tpcds_within_group_share\nSELECT\n \"class\",\n \"feature_3\",\n SUM(CAST(\"feature_2\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_2\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_2\" AS REAL))) OVER (PARTITION BY \"class\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"class\", \"feature_3\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"class\\\",\\n \\\"feature_3\\\",\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"class\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"class\", \"feature_3\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"class\": \"0\", \"feature_3\": \"0\", \"total_measure\": 32419.0, \"share_within_group\": 32.95585080968985}, {\"class\": \"4\", \"feature_3\": \"0\", \"total_measure\": 19162.0, \"share_within_group\": 16.827370602595852}, {\"class\": \"8\", \"feature_3\": \"0\", \"total_measure\": 11112.0, \"share_within_group\": 12.832149662220683}, {\"class\": \"5\", \"feature_3\": \"0\", \"total_measure\": 10649.0, \"share_within_group\": 11.099067173901714}, {\"class\": \"5\", \"feature_3\": \"100\", \"total_measure\": 10570.0, \"share_within_group\": 11.016728333941321}, {\"class\": \"9\", \"feature_3\": \"100\", \"total_measure\": 5470.0, \"share_within_group\": 6.375960182303505}, {\"class\": \"7\", \"feature_3\": \"0\", \"total_measure\": 5362.0, \"share_within_group\": 5.159142516260632}, {\"class\": \"1\", \"feature_3\": \"100\", \"total_measure\": 3371.0, \"share_within_group\": 4.803910391609189}, {\"class\": \"9\", \"feature_3\": \"0\", \"total_measure\": 3629.0, \"share_within_group\": 4.230047440873752}, {\"class\": \"0\", \"feature_3\": \"8\", \"total_measure\": 3535.0, \"share_within_group\": 3.5935387461751938}, {\"class\": \"6\", \"feature_3\": \"56\", \"total_measure\": 3591.0, \"share_within_group\": 3.4446704013506255}, {\"class\": \"0\", \"feature_3\": \"1\", \"total_measure\": 3300.0, \"share_within_group\": 3.3546472029358245}, {\"class\": \"6\", \"feature_3\": \"55\", \"total_measure\": 3489.0, \"share_within_group\": 3.3468267976364054}, {\"class\": \"6\", \"feature_3\": \"58\", \"total_measure\": 3455.0, \"share_within_group\": 3.314212263064999}, {\"class\": \"7\", \"feature_3\": \"41\", \"total_measure\": 3273.0, \"share_within_group\": 3.1491744602239926}, {\"class\": \"0\", \"feature_3\": \"2\", \"total_measure\": 3053.0, \"share_within_group\": 3.1035569425948704}, {\"class\": \"7\", \"feature_3\": \"51\", \"total_measure\": 3147.0, \"share_within_group\": 3.0279413462648654}, {\"class\": \"0\", \"feature_3\": \"12\", \"total_measure\": 2953.0, \"share_within_group\": 3.0019009667483303}, {\"class\": \"1\", \"feature_3\": \"35\", \"total_measure\": 2075.0, \"share_within_group\": 2.9570198939748047}, {\"class\": \"6\", \"feature_3\": \"52\", \"total_measure\": 3080.0, \"share_within_group\": 2.9544931317627197}, {\"class\": \"0\", \"feature_3\": \"15\", \"total_measure\": 2862.0, \"share_within_group\": 2.909394028727979}, {\"class\": \"0\", \"feature_3\": \"5\", \"total_measure\": 2852.0, \"share_within_group\": 2.899228431143325}, {\"class\": \"1\", \"feature_3\": \"0\", \"total_measure\": 2018.0, \"share_within_group\": 2.875790913754774}, {\"class\": \"6\", \"feature_3\": \"54\", \"total_measure\": 2995.0, \"share_within_group\": 2.8729567953342032}, {\"class\": \"6\", \"feature_3\": \"46\", \"total_measure\": 2986.0, \"share_within_group\": 2.8643235361829484}, {\"class\": \"6\", \"feature_3\": \"57\", \"total_measure\": 2982.0, \"share_within_group\": 2.8604865321157242}, {\"class\": \"7\", \"feature_3\": \"45\", \"total_measure\": 2917.0, \"share_within_group\": 2.8066428049109033}, {\"class\": \"7\", \"feature_3\": \"53\", \"total_measure\": 2911.0, \"share_within_group\": 2.8008697994842784}, {\"class\": \"7\", \"feature_3\": \"40\", \"total_measure\": 2905.0, \"share_within_group\": 2.795096794057653}, {\"class\": \"1\", \"feature_3\": \"42\", \"total_measure\": 1960.0, \"share_within_group\": 2.7931368637063216}, {\"class\": \"6\", \"feature_3\": \"62\", \"total_measure\": 2850.0, \"share_within_group\": 2.733865397897322}, {\"class\": \"3\", \"feature_3\": \"68\", \"total_measure\": 2424.0, \"share_within_group\": 2.7333002570925986}, {\"class\": \"7\", \"feature_3\": \"44\", \"total_measure\": 2829.0, \"share_within_group\": 2.7219720586537353}, {\"class\": \"2\", \"feature_3\": \"34\", \"total_measure\": 2393.0, \"share_within_group\": 2.718391457457685}, {\"class\": \"6\", \"feature_3\": \"59\", \"total_measure\": 2833.0, \"share_within_group\": 2.7175581306116183}, {\"class\": \"1\", \"feature_3\": \"39\", \"total_measure\": 1888.0, \"share_within_group\": 2.690531836059967}, {\"class\": \"6\", \"feature_3\": \"53\", \"total_measure\": 2798.0, \"share_within_group\": 2.6839843450234055}, {\"class\": \"2\", \"feature_3\": \"28\", \"total_measure\": 2344.0, \"share_within_group\": 2.662728615244803}, {\"class\": \"7\", \"feature_3\": \"43\", \"total_measure\": 2760.0, \"share_within_group\": 2.6555824962475465}, {\"class\": \"3\", \"feature_3\": \"50\", \"total_measure\": 2355.0, \"share_within_group\": 2.6554959180912}, {\"class\": \"2\", \"feature_3\": \"26\", \"total_measure\": 2323.0, \"share_within_group\": 2.638873111439282}, {\"class\": \"7\", \"feature_3\": \"50\", \"total_measure\": 2703.0, \"share_within_group\": 2.600738944694608}, {\"class\": \"0\", \"feature_3\": \"6\", \"total_measure\": 2539.0, \"share_within_group\": 2.581045226743654}, {\"class\": \"6\", \"feature_3\": \"48\", \"total_measure\": 2678.0, \"share_within_group\": 2.5688742230066763}, {\"class\": \"0\", \"feature_3\": \"14\", \"total_measure\": 2512.0, \"share_within_group\": 2.5535981132650885}, {\"class\": \"1\", \"feature_3\": \"38\", \"total_measure\": 1791.0, \"share_within_group\": 2.5523000627030723}, {\"class\": \"0\", \"feature_3\": \"9\", \"total_measure\": 2490.0, \"share_within_group\": 2.5312337985788496}, {\"class\": \"2\", \"feature_3\": \"35\", \"total_measure\": 2191.0, \"share_within_group\": 2.488924230376008}, {\"class\": \"6\", \"feature_3\": \"49\", \"total_measure\": 2583.0, \"share_within_group\": 2.477745376410099}, {\"class\": \"6\", \"feature_3\": \"60\", \"total_measure\": 2581.0, \"share_within_group\": 2.475826874376487}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 10.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..72bcc21af5af5f2bbef35acbc03c5e3dda8a6156 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:38:56.142069+00:00", + "ended_at": "2026-05-19T15:39:09.704573+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_0b08cef145edec67", + "problem_id": "v2p_n9_1ff951ac51c8ade6", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=class, measure_col=feature_2.", + "bindings": { + "group_col": "class", + "measure_col": "feature_2", + "item_col": "feature_3", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 96.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=33" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_0b08cef145edec67.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0b08cef145edec67", + "api_calls": 0, + "input_tokens": 15056, + "cached_input_tokens": 12032, + "output_tokens": 687, + "total_tokens": 15743, + "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": 13548.1, + "sql_execution_elapsed_ms_total": 10.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e4a113e352d0f5b8694a332264e91978a835e7d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:09.692434+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13548.1, "started_at": "2026-05-19T15:38:56.143514+00:00", "ended_at": "2026-05-19T15:39:09.691645+00:00", "prompt_metrics": {"chars": 9794, "bytes_utf8": 9794, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 580, "bytes_utf8": 580, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15056, "cached_input_tokens": 12032, "output_tokens": 687, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"class\\\",\\n \\\"feature_3\\\",\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_2\\\" AS REAL))) OVER (PARTITION BY \\\"class\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\", \\\"feature_3\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"class\\\", item_col=\\\"feature_3\\\", and measure_col=\\\"feature_2\\\". CAST is used because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1f39a980d6698ea06c3bd68458be2acb3f45d5a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0b08cef145edec67", + "api_calls": 0, + "input_tokens": 15056, + "cached_input_tokens": 12032, + "output_tokens": 687, + "total_tokens": 15743, + "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": 13548.1, + "sql_execution_elapsed_ms_total": 10.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0b08cef145edec67/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..44eb815eecba374466269c367361d374e82621c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:08:24.919489+00:00", + "ended_at": "2026-05-19T16:08:31.224948+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_0e469b11e992d3f0", + "problem_id": "v2p_n9_588d327101644a11", + "dataset_id": "n9", + "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=feature_16, measure_col=feature_7.", + "bindings": { + "group_col": "feature_16", + "measure_col": "feature_7", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74.0, + "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=1/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bab9fac25b51cba2d8e07dec2e7944914dde64f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0e469b11e992d3f0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:27.480427+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2558.96, "started_at": "2026-05-19T16:08:24.920768+00:00", "ended_at": "2026-05-19T16:08:27.479746+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-dd4d-70f0-b175-6ca837bc3136\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:31.224856+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2742.21, "started_at": "2026-05-19T16:08:28.481857+00:00", "ended_at": "2026-05-19T16:08:31.224107+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-eb41-7a61-8935-ba8acaa795de\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d56762eca203b697a0c3425e844fb278a546f99a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_12, measure_col=feature_13. +Result preview: [{"feature_12": "99", "feature_14": "100", "total_measure": 452.0, "share_within_group": 91.68356997971603}, {"feature_12": "92", "feature_14": "100", "total_measure": 626.0, "share_within_group": 80.98318240620958}, {"feature_12": "96", "feature_14": "100", "total_measure": 414.0, "share_within_group": 68.77076411960132}, {"feature_12": "76", "feature_14": "100", "total_measure": 1856.0, "share_within_group": 66.33309506790565}, {"feature_12": "93", "feature_14": "100", "total_measure": 694.0, "share_within_group": 65.53352219074598}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a5d04e1897798eacea07463d1af8b810b9bc4908 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_0ec4c3649d00fef8 +-- problem_id: v2p_n9_c05389dab1ffac79 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_12", "feature_14", + SUM(CAST("feature_13" AS REAL)) AS total_measure, + SUM(CAST("feature_13" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_13" AS REAL))) OVER (PARTITION BY "feature_12") AS share_within_group +FROM "n9" +GROUP BY "feature_12", "feature_14" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e3a51f101c18cefc4d3be1588e80899eb1713af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/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_tpcds_within_group_share\nSELECT \"feature_12\", \"feature_14\",\n SUM(CAST(\"feature_13\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_13\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_13\" AS REAL))) OVER (PARTITION BY \"feature_12\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_12\", \"feature_14\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_12\\\", \\\"feature_14\\\",\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_13\\\" AS REAL))) OVER (PARTITION BY \\\"feature_12\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\", \\\"feature_14\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"feature_12\", \"feature_14\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_12\": \"99\", \"feature_14\": \"100\", \"total_measure\": 452.0, \"share_within_group\": 91.68356997971603}, {\"feature_12\": \"92\", \"feature_14\": \"100\", \"total_measure\": 626.0, \"share_within_group\": 80.98318240620958}, {\"feature_12\": \"96\", \"feature_14\": \"100\", \"total_measure\": 414.0, \"share_within_group\": 68.77076411960132}, {\"feature_12\": \"76\", \"feature_14\": \"100\", \"total_measure\": 1856.0, \"share_within_group\": 66.33309506790565}, {\"feature_12\": \"93\", \"feature_14\": \"100\", \"total_measure\": 694.0, \"share_within_group\": 65.53352219074598}, {\"feature_12\": \"97\", \"feature_14\": \"100\", \"total_measure\": 311.0, \"share_within_group\": 59.80769230769231}, {\"feature_12\": \"80\", \"feature_14\": \"100\", \"total_measure\": 1395.0, \"share_within_group\": 59.13522679101314}, {\"feature_12\": \"90\", \"feature_14\": \"100\", \"total_measure\": 951.0, \"share_within_group\": 56.640857653365096}, {\"feature_12\": \"89\", \"feature_14\": \"100\", \"total_measure\": 620.0, \"share_within_group\": 56.466302367941715}, {\"feature_12\": \"87\", \"feature_14\": \"100\", \"total_measure\": 376.0, \"share_within_group\": 53.257790368271955}, {\"feature_12\": \"70\", \"feature_14\": \"100\", \"total_measure\": 2802.0, \"share_within_group\": 52.052758684748284}, {\"feature_12\": \"83\", \"feature_14\": \"100\", \"total_measure\": 966.0, \"share_within_group\": 51.935483870967744}, {\"feature_12\": \"98\", \"feature_14\": \"100\", \"total_measure\": 287.0, \"share_within_group\": 51.89873417721519}, {\"feature_12\": \"91\", \"feature_14\": \"100\", \"total_measure\": 471.0, \"share_within_group\": 51.19565217391305}, {\"feature_12\": \"85\", \"feature_14\": \"100\", \"total_measure\": 831.0, \"share_within_group\": 50.825688073394495}, {\"feature_12\": \"67\", \"feature_14\": \"100\", \"total_measure\": 3837.0, \"share_within_group\": 50.74054482941021}, {\"feature_12\": \"50\", \"feature_14\": \"25\", \"total_measure\": 6619.0, \"share_within_group\": 48.98971208644808}, {\"feature_12\": \"84\", \"feature_14\": \"100\", \"total_measure\": 892.0, \"share_within_group\": 48.268398268398265}, {\"feature_12\": \"81\", \"feature_14\": \"100\", \"total_measure\": 1223.0, \"share_within_group\": 47.60607240171273}, {\"feature_12\": \"79\", \"feature_14\": \"100\", \"total_measure\": 1160.0, \"share_within_group\": 47.21204721204721}, {\"feature_12\": \"72\", \"feature_14\": \"100\", \"total_measure\": 2222.0, \"share_within_group\": 47.096227214921576}, {\"feature_12\": \"95\", \"feature_14\": \"100\", \"total_measure\": 509.0, \"share_within_group\": 46.48401826484018}, {\"feature_12\": \"74\", \"feature_14\": \"100\", \"total_measure\": 1256.0, \"share_within_group\": 46.31268436578171}, {\"feature_12\": \"68\", \"feature_14\": \"100\", \"total_measure\": 3631.0, \"share_within_group\": 46.24888549229397}, {\"feature_12\": \"69\", \"feature_14\": \"100\", \"total_measure\": 2423.0, \"share_within_group\": 45.84673604541154}, {\"feature_12\": \"75\", \"feature_14\": \"100\", \"total_measure\": 1200.0, \"share_within_group\": 44.526901669758814}, {\"feature_12\": \"73\", \"feature_14\": \"100\", \"total_measure\": 1946.0, \"share_within_group\": 44.05705229793978}, {\"feature_12\": \"2\", \"feature_14\": \"0\", \"total_measure\": 2508.0, \"share_within_group\": 43.15209910529938}, {\"feature_12\": \"19\", \"feature_14\": \"0\", \"total_measure\": 3338.0, \"share_within_group\": 42.247816732059235}, {\"feature_12\": \"16\", \"feature_14\": \"0\", \"total_measure\": 4022.0, \"share_within_group\": 41.179481928944405}, {\"feature_12\": \"94\", \"feature_14\": \"100\", \"total_measure\": 424.0, \"share_within_group\": 41.16504854368932}, {\"feature_12\": \"14\", \"feature_14\": \"0\", \"total_measure\": 3111.0, \"share_within_group\": 41.025979163919295}, {\"feature_12\": \"18\", \"feature_14\": \"0\", \"total_measure\": 3338.0, \"share_within_group\": 40.92692496321726}, {\"feature_12\": \"9\", \"feature_14\": \"0\", \"total_measure\": 3250.0, \"share_within_group\": 40.52369077306733}, {\"feature_12\": \"11\", \"feature_14\": \"0\", \"total_measure\": 2852.0, \"share_within_group\": 40.03368893879843}, {\"feature_12\": \"71\", \"feature_14\": \"100\", \"total_measure\": 1776.0, \"share_within_group\": 39.82955819690513}, {\"feature_12\": \"17\", \"feature_14\": \"0\", \"total_measure\": 3154.0, \"share_within_group\": 39.69292725899824}, {\"feature_12\": \"10\", \"feature_14\": \"0\", \"total_measure\": 2932.0, \"share_within_group\": 39.435104236718225}, {\"feature_12\": \"13\", \"feature_14\": \"0\", \"total_measure\": 2813.0, \"share_within_group\": 39.403277769995796}, {\"feature_12\": \"23\", \"feature_14\": \"0\", \"total_measure\": 2711.0, \"share_within_group\": 39.11976911976912}, {\"feature_12\": \"78\", \"feature_14\": \"100\", \"total_measure\": 995.0, \"share_within_group\": 38.746105919003114}, {\"feature_12\": \"15\", \"feature_14\": \"0\", \"total_measure\": 3660.0, \"share_within_group\": 38.30856185890726}, {\"feature_12\": \"12\", \"feature_14\": \"0\", \"total_measure\": 3186.0, \"share_within_group\": 38.128291048348494}, {\"feature_12\": \"21\", \"feature_14\": \"0\", \"total_measure\": 2754.0, \"share_within_group\": 35.78947368421053}, {\"feature_12\": \"82\", \"feature_14\": \"100\", \"total_measure\": 617.0, \"share_within_group\": 35.72669368847713}, {\"feature_12\": \"5\", \"feature_14\": \"0\", \"total_measure\": 2283.0, \"share_within_group\": 35.52201649292049}, {\"feature_12\": \"88\", \"feature_14\": \"100\", \"total_measure\": 422.0, \"share_within_group\": 35.37300922045264}, {\"feature_12\": \"77\", \"feature_14\": \"100\", \"total_measure\": 1039.0, \"share_within_group\": 34.97139010434197}, {\"feature_12\": \"20\", \"feature_14\": \"0\", \"total_measure\": 2624.0, \"share_within_group\": 32.53968253968254}, {\"feature_12\": \"95\", \"feature_14\": \"47\", \"total_measure\": 356.0, \"share_within_group\": 32.51141552511415}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 16.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6abaae3d12527dff2aedcd8b0759a8df50d5a4c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:36:26.320599+00:00", + "ended_at": "2026-05-19T15:36:42.581688+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_0ec4c3649d00fef8", + "problem_id": "v2p_n9_c05389dab1ffac79", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_12, measure_col=feature_13.", + "bindings": { + "group_col": "feature_12", + "measure_col": "feature_13", + "item_col": "feature_14", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 68.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_0ec4c3649d00fef8.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0ec4c3649d00fef8", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 693, + "total_tokens": 15753, + "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": 16240.35, + "sql_execution_elapsed_ms_total": 16.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..082655770b8609791db08213f8107c2f66db0245 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:42.563701+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16240.35, "started_at": "2026-05-19T15:36:26.322458+00:00", "ended_at": "2026-05-19T15:36:42.562840+00:00", "prompt_metrics": {"chars": 9805, "bytes_utf8": 9805, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 612, "bytes_utf8": 612, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 13696, "output_tokens": 693, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_12\\\", \\\"feature_14\\\",\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_13\\\" AS REAL))) OVER (PARTITION BY \\\"feature_12\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\", \\\"feature_14\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=feature_12, item_col=feature_14, and measure_col=feature_13. CAST to REAL is used because the schema stores these numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a530e2aac89f5d86679538b5b20e2b826e8b912f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_0ec4c3649d00fef8", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 693, + "total_tokens": 15753, + "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": 16240.35, + "sql_execution_elapsed_ms_total": 16.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_0ec4c3649d00fef8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..01b6a2d9807d7366c271ef7b313fd200feaecd5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_15, measure_col=feature_16. +Result preview: [{"feature_15": "80", "feature_1": "0", "total_measure": 119.0, "share_within_group": 64.67391304347827}, {"feature_15": "74", "feature_1": "0", "total_measure": 358.0, "share_within_group": 57.556270096463024}, {"feature_15": "59", "feature_1": "38", "total_measure": 162.0, "share_within_group": 55.86206896551724}, {"feature_15": "93", "feature_1": "100", "total_measure": 517.0, "share_within_group": 55.83153347732181}, {"feature_15": "65", "feature_1": "100", "total_measure": 416.0, "share_within_group": 50.8557457212714}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0b7558a592c37c55eec4b79b82c5cdecfb5b8ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_116f8ea312eb3030 +-- problem_id: v2p_n9_4f66528703683d39 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_15", "feature_1", + SUM(CAST("feature_16" AS REAL)) AS total_measure, + SUM(CAST("feature_16" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_16" AS REAL))) OVER (PARTITION BY "feature_15") AS share_within_group +FROM "n9" +GROUP BY "feature_15", "feature_1" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..248e60ca38546d95f7fe5cf73c71d8ab4156a835 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/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_tpcds_within_group_share\nSELECT \"feature_15\", \"feature_1\",\n SUM(CAST(\"feature_16\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_16\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_16\" AS REAL))) OVER (PARTITION BY \"feature_15\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_15\", \"feature_1\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_15\\\", \\\"feature_1\\\",\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_16\\\" AS REAL))) OVER (PARTITION BY \\\"feature_15\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\", \\\"feature_1\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"feature_15\", \"feature_1\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_15\": \"80\", \"feature_1\": \"0\", \"total_measure\": 119.0, \"share_within_group\": 64.67391304347827}, {\"feature_15\": \"74\", \"feature_1\": \"0\", \"total_measure\": 358.0, \"share_within_group\": 57.556270096463024}, {\"feature_15\": \"59\", \"feature_1\": \"38\", \"total_measure\": 162.0, \"share_within_group\": 55.86206896551724}, {\"feature_15\": \"93\", \"feature_1\": \"100\", \"total_measure\": 517.0, \"share_within_group\": 55.83153347732181}, {\"feature_15\": \"65\", \"feature_1\": \"100\", \"total_measure\": 416.0, \"share_within_group\": 50.8557457212714}, {\"feature_15\": \"83\", \"feature_1\": \"100\", \"total_measure\": 536.0, \"share_within_group\": 48.33183047790803}, {\"feature_15\": \"96\", \"feature_1\": \"0\", \"total_measure\": 316.0, \"share_within_group\": 42.93478260869565}, {\"feature_15\": \"76\", \"feature_1\": \"0\", \"total_measure\": 341.0, \"share_within_group\": 41.48418491484185}, {\"feature_15\": \"95\", \"feature_1\": \"100\", \"total_measure\": 470.0, \"share_within_group\": 40.834057341442225}, {\"feature_15\": \"94\", \"feature_1\": \"100\", \"total_measure\": 568.0, \"share_within_group\": 39.091534755677905}, {\"feature_15\": \"98\", \"feature_1\": \"100\", \"total_measure\": 503.0, \"share_within_group\": 38.871715610510044}, {\"feature_15\": \"92\", \"feature_1\": \"0\", \"total_measure\": 536.0, \"share_within_group\": 38.84057971014493}, {\"feature_15\": \"99\", \"feature_1\": \"0\", \"total_measure\": 216.0, \"share_within_group\": 37.11340206185567}, {\"feature_15\": \"82\", \"feature_1\": \"0\", \"total_measure\": 226.0, \"share_within_group\": 35.70300157977883}, {\"feature_15\": \"87\", \"feature_1\": \"100\", \"total_measure\": 454.0, \"share_within_group\": 35.24844720496895}, {\"feature_15\": \"99\", \"feature_1\": \"100\", \"total_measure\": 185.0, \"share_within_group\": 31.786941580756015}, {\"feature_15\": \"78\", \"feature_1\": \"100\", \"total_measure\": 370.0, \"share_within_group\": 30.45267489711934}, {\"feature_15\": \"58\", \"feature_1\": \"0\", \"total_measure\": 267.0, \"share_within_group\": 30.34090909090909}, {\"feature_15\": \"66\", \"feature_1\": \"100\", \"total_measure\": 238.0, \"share_within_group\": 30.20304568527919}, {\"feature_15\": \"97\", \"feature_1\": \"100\", \"total_measure\": 298.0, \"share_within_group\": 29.592850049652434}, {\"feature_15\": \"77\", \"feature_1\": \"0\", \"total_measure\": 301.0, \"share_within_group\": 29.110251450676984}, {\"feature_15\": \"87\", \"feature_1\": \"0\", \"total_measure\": 373.0, \"share_within_group\": 28.959627329192546}, {\"feature_15\": \"57\", \"feature_1\": \"68\", \"total_measure\": 193.0, \"share_within_group\": 28.677563150074295}, {\"feature_15\": \"72\", \"feature_1\": \"100\", \"total_measure\": 281.0, \"share_within_group\": 28.644240570846076}, {\"feature_15\": \"3\", \"feature_1\": \"100\", \"total_measure\": 596.0, \"share_within_group\": 28.612578012481997}, {\"feature_15\": \"77\", \"feature_1\": \"100\", \"total_measure\": 287.0, \"share_within_group\": 27.756286266924565}, {\"feature_15\": \"69\", \"feature_1\": \"0\", \"total_measure\": 345.0, \"share_within_group\": 27.33755942947702}, {\"feature_15\": \"88\", \"feature_1\": \"100\", \"total_measure\": 550.0, \"share_within_group\": 26.92119432207538}, {\"feature_15\": \"89\", \"feature_1\": \"0\", \"total_measure\": 294.0, \"share_within_group\": 26.873857404021937}, {\"feature_15\": \"90\", \"feature_1\": \"0\", \"total_measure\": 393.0, \"share_within_group\": 26.69836956521739}, {\"feature_15\": \"63\", \"feature_1\": \"62\", \"total_measure\": 180.0, \"share_within_group\": 26.587887740029544}, {\"feature_15\": \"96\", \"feature_1\": \"100\", \"total_measure\": 195.0, \"share_within_group\": 26.494565217391305}, {\"feature_15\": \"73\", \"feature_1\": \"0\", \"total_measure\": 256.0, \"share_within_group\": 26.095820591233434}, {\"feature_15\": \"83\", \"feature_1\": \"0\", \"total_measure\": 261.0, \"share_within_group\": 23.53471596032462}, {\"feature_15\": \"100\", \"feature_1\": \"0\", \"total_measure\": 25333.0, \"share_within_group\": 23.39474534792446}, {\"feature_15\": \"91\", \"feature_1\": \"0\", \"total_measure\": 297.0, \"share_within_group\": 23.275862068965516}, {\"feature_15\": \"86\", \"feature_1\": \"0\", \"total_measure\": 267.0, \"share_within_group\": 23.257839721254356}, {\"feature_15\": \"85\", \"feature_1\": \"0\", \"total_measure\": 279.0, \"share_within_group\": 23.172757475083056}, {\"feature_15\": \"64\", \"feature_1\": \"100\", \"total_measure\": 190.0, \"share_within_group\": 23.142509135200974}, {\"feature_15\": \"97\", \"feature_1\": \"0\", \"total_measure\": 231.0, \"share_within_group\": 22.939424031777556}, {\"feature_15\": \"84\", \"feature_1\": \"100\", \"total_measure\": 299.0, \"share_within_group\": 22.583081570996978}, {\"feature_15\": \"79\", \"feature_1\": \"100\", \"total_measure\": 340.0, \"share_within_group\": 22.516556291390728}, {\"feature_15\": \"58\", \"feature_1\": \"72\", \"total_measure\": 198.0, \"share_within_group\": 22.5}, {\"feature_15\": \"11\", \"feature_1\": \"100\", \"total_measure\": 605.0, \"share_within_group\": 22.324723247232473}, {\"feature_15\": \"81\", \"feature_1\": \"100\", \"total_measure\": 180.0, \"share_within_group\": 22.19482120838471}, {\"feature_15\": \"41\", \"feature_1\": \"0\", \"total_measure\": 255.0, \"share_within_group\": 21.48272957034541}, {\"feature_15\": \"68\", \"feature_1\": \"0\", \"total_measure\": 109.0, \"share_within_group\": 21.456692913385826}, {\"feature_15\": \"54\", \"feature_1\": \"52\", \"total_measure\": 200.0, \"share_within_group\": 21.299254526091588}, {\"feature_15\": \"63\", \"feature_1\": \"0\", \"total_measure\": 142.0, \"share_within_group\": 20.974889217134418}, {\"feature_15\": \"91\", \"feature_1\": \"100\", \"total_measure\": 267.0, \"share_within_group\": 20.92476489028213}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 18.4}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f3c97d0e8318d091360faef88b7c3fbf3cec6c43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:37:48.606716+00:00", + "ended_at": "2026-05-19T15:37:59.979155+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_116f8ea312eb3030", + "problem_id": "v2p_n9_4f66528703683d39", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_15, measure_col=feature_16.", + "bindings": { + "group_col": "feature_15", + "measure_col": "feature_16", + "item_col": "feature_1", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_116f8ea312eb3030.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_116f8ea312eb3030", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 605, + "total_tokens": 15664, + "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": 11349.27, + "sql_execution_elapsed_ms_total": 18.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..03cd76c0c9feb55d404ee64c9cee3f92ceb389d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:59.959053+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11349.27, "started_at": "2026-05-19T15:37:48.608929+00:00", "ended_at": "2026-05-19T15:37:59.958231+00:00", "prompt_metrics": {"chars": 9799, "bytes_utf8": 9799, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 617, "bytes_utf8": 617, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 605, "reasoning_output_tokens": 427}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_15\\\", \\\"feature_1\\\",\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_16\\\" AS REAL))) OVER (PARTITION BY \\\"feature_15\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\", \\\"feature_1\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_15\\\", item_col=\\\"feature_1\\\", and measure_col=\\\"feature_16\\\". CAST is used because the feature columns are stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5e25610bde1159e9ba32a19e1ad57c096f5c38c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_116f8ea312eb3030", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 605, + "total_tokens": 15664, + "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": 11349.27, + "sql_execution_elapsed_ms_total": 18.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_116f8ea312eb3030/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4051b7e1fa3f44f76372490431c266a58b2d7b06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 953, "support_share": 0.08669941775836973, "support_rank": 1}, {"value_label": "100", "support": 309, "support_share": 0.028111353711790393, "support_rank": 2}, {"value_label": "35", "support": 185, "support_share": 0.01683042212518195, "support_rank": 3}, {"value_label": "46", "support": 177, "support_share": 0.016102620087336244, "support_rank": 4}, {"value_label": "39", "support": 168, "support_share": 0.015283842794759825, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cbcbb2bc4411b41796d885a84925f2903a19cc93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n9_1197e7ba4c25c482 +-- problem_id: v2p_n9_0ceefa077675b5fb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_3" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_3" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..03f3b66cbe21466d0371a06c8596fbe7bbe065bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n9_1197e7ba4c25c482\n-- problem_id: v2p_n9_0ceefa077675b5fb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_3\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_3\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n9_1197e7ba4c25c482\\n-- problem_id: v2p_n9_0ceefa077675b5fb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_3\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_3\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 953, \"support_share\": 0.08669941775836973, \"support_rank\": 1}, {\"value_label\": \"100\", \"support\": 309, \"support_share\": 0.028111353711790393, \"support_rank\": 2}, {\"value_label\": \"35\", \"support\": 185, \"support_share\": 0.01683042212518195, \"support_rank\": 3}, {\"value_label\": \"46\", \"support\": 177, \"support_share\": 0.016102620087336244, \"support_rank\": 4}, {\"value_label\": \"39\", \"support\": 168, \"support_share\": 0.015283842794759825, \"support_rank\": 5}, {\"value_label\": \"34\", \"support\": 167, \"support_share\": 0.015192867540029112, \"support_rank\": 6}, {\"value_label\": \"40\", \"support\": 167, \"support_share\": 0.015192867540029112, \"support_rank\": 7}, {\"value_label\": \"38\", \"support\": 166, \"support_share\": 0.015101892285298398, \"support_rank\": 8}, {\"value_label\": \"44\", \"support\": 161, \"support_share\": 0.014647016011644833, \"support_rank\": 9}, {\"value_label\": \"43\", \"support\": 159, \"support_share\": 0.014465065502183407, \"support_rank\": 10}, {\"value_label\": \"42\", \"support\": 157, \"support_share\": 0.014283114992721979, \"support_rank\": 11}, {\"value_label\": \"52\", \"support\": 157, \"support_share\": 0.014283114992721979, \"support_rank\": 12}, {\"value_label\": \"53\", \"support\": 157, \"support_share\": 0.014283114992721979, \"support_rank\": 13}, {\"value_label\": \"30\", \"support\": 152, \"support_share\": 0.013828238719068414, \"support_rank\": 14}, {\"value_label\": \"47\", \"support\": 150, \"support_share\": 0.013646288209606987, \"support_rank\": 15}, {\"value_label\": \"57\", \"support\": 150, \"support_share\": 0.013646288209606987, \"support_rank\": 16}, {\"value_label\": \"56\", \"support\": 149, \"support_share\": 0.013555312954876273, \"support_rank\": 17}, {\"value_label\": \"41\", \"support\": 148, \"support_share\": 0.013464337700145561, \"support_rank\": 18}, {\"value_label\": \"54\", \"support\": 146, \"support_share\": 0.013282387190684133, \"support_rank\": 19}, {\"value_label\": \"50\", \"support\": 145, \"support_share\": 0.01319141193595342, \"support_rank\": 20}, {\"value_label\": \"51\", \"support\": 144, \"support_share\": 0.013100436681222707, \"support_rank\": 21}, {\"value_label\": \"49\", \"support\": 143, \"support_share\": 0.013009461426491994, \"support_rank\": 22}, {\"value_label\": \"31\", \"support\": 142, \"support_share\": 0.01291848617176128, \"support_rank\": 23}, {\"value_label\": \"55\", \"support\": 141, \"support_share\": 0.012827510917030568, \"support_rank\": 24}, {\"value_label\": \"58\", \"support\": 141, \"support_share\": 0.012827510917030568, \"support_rank\": 25}, {\"value_label\": \"60\", \"support\": 141, \"support_share\": 0.012827510917030568, \"support_rank\": 26}, {\"value_label\": \"62\", \"support\": 139, \"support_share\": 0.012645560407569142, \"support_rank\": 27}, {\"value_label\": \"28\", \"support\": 138, \"support_share\": 0.012554585152838428, \"support_rank\": 28}, {\"value_label\": \"36\", \"support\": 138, \"support_share\": 0.012554585152838428, \"support_rank\": 29}, {\"value_label\": \"32\", \"support\": 137, \"support_share\": 0.012463609898107715, \"support_rank\": 30}, {\"value_label\": \"33\", \"support\": 137, \"support_share\": 0.012463609898107715, \"support_rank\": 31}, {\"value_label\": \"26\", \"support\": 136, \"support_share\": 0.012372634643377001, \"support_rank\": 32}, {\"value_label\": \"29\", \"support\": 134, \"support_share\": 0.012190684133915575, \"support_rank\": 33}, {\"value_label\": \"59\", \"support\": 134, \"support_share\": 0.012190684133915575, \"support_rank\": 34}, {\"value_label\": \"37\", \"support\": 132, \"support_share\": 0.012008733624454149, \"support_rank\": 35}, {\"value_label\": \"45\", \"support\": 132, \"support_share\": 0.012008733624454149, \"support_rank\": 36}, {\"value_label\": \"24\", \"support\": 131, \"support_share\": 0.011917758369723435, \"support_rank\": 37}, {\"value_label\": \"48\", \"support\": 131, \"support_share\": 0.011917758369723435, \"support_rank\": 38}, {\"value_label\": \"23\", \"support\": 125, \"support_share\": 0.011371906841339156, \"support_rank\": 39}, {\"value_label\": \"20\", \"support\": 124, \"support_share\": 0.011280931586608443, \"support_rank\": 40}, {\"value_label\": \"21\", \"support\": 119, \"support_share\": 0.010826055312954877, \"support_rank\": 41}, {\"value_label\": \"25\", \"support\": 117, \"support_share\": 0.01064410480349345, \"support_rank\": 42}, {\"value_label\": \"27\", \"support\": 115, \"support_share\": 0.010462154294032024, \"support_rank\": 43}, {\"value_label\": \"22\", \"support\": 113, \"support_share\": 0.010280203784570598, \"support_rank\": 44}, {\"value_label\": \"16\", \"support\": 110, \"support_share\": 0.010007278020378457, \"support_rank\": 45}, {\"value_label\": \"61\", \"support\": 109, \"support_share\": 0.009916302765647743, \"support_rank\": 46}, {\"value_label\": \"18\", \"support\": 107, \"support_share\": 0.009734352256186317, \"support_rank\": 47}, {\"value_label\": \"19\", \"support\": 107, \"support_share\": 0.009734352256186317, \"support_rank\": 48}, {\"value_label\": \"8\", \"support\": 103, \"support_share\": 0.009370451237263464, \"support_rank\": 49}, {\"value_label\": \"17\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d77a825b53f29cf3ee74eda62eadc0da7abed24d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.793908+00:00", + "ended_at": "2026-05-19T16:10:15.799753+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_1197e7ba4c25c482", + "problem_id": "v2p_n9_0ceefa077675b5fb", + "dataset_id": "n9", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=feature_3.", + "bindings": { + "group_col": "feature_3" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_1197e7ba4c25c482.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1197e7ba4c25c482/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c1cb127b28d5a9583d77017402c16b47bacca02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_2, measure_col=feature_2. +Result preview: [{"feature_2": "100", "total_measure": 311500.0}, {"feature_2": "96", "total_measure": 23712.0}, {"feature_2": "91", "total_measure": 23569.0}, {"feature_2": "90", "total_measure": 23490.0}, {"feature_2": "93", "total_measure": 22785.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dcb48a35ceb5f0f2ce49e2e0d118c20c4616a72e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_11aceec600252d5a +-- problem_id: v2p_n9_a8304f590c0be129 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_2", SUM(CAST("feature_2" AS REAL)) AS total_measure +FROM "n9" +GROUP BY "feature_2" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..909e33aebe667bf180f0e9541e8f312a8224c40f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/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_h2o_group_sum\nSELECT \"feature_2\", SUM(CAST(\"feature_2\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_2\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_2\", \"total_measure\"], \"rows\": [{\"feature_2\": \"100\", \"total_measure\": 311500.0}, {\"feature_2\": \"96\", \"total_measure\": 23712.0}, {\"feature_2\": \"91\", \"total_measure\": 23569.0}, {\"feature_2\": \"90\", \"total_measure\": 23490.0}, {\"feature_2\": \"93\", \"total_measure\": 22785.0}, {\"feature_2\": \"94\", \"total_measure\": 22748.0}, {\"feature_2\": \"88\", \"total_measure\": 22352.0}, {\"feature_2\": \"95\", \"total_measure\": 22230.0}, {\"feature_2\": \"89\", \"total_measure\": 21716.0}, {\"feature_2\": \"92\", \"total_measure\": 21620.0}, {\"feature_2\": \"97\", \"total_measure\": 21049.0}, {\"feature_2\": \"85\", \"total_measure\": 20825.0}, {\"feature_2\": \"86\", \"total_measure\": 19952.0}, {\"feature_2\": \"98\", \"total_measure\": 19894.0}, {\"feature_2\": \"82\", \"total_measure\": 19352.0}, {\"feature_2\": \"87\", \"total_measure\": 19227.0}, {\"feature_2\": \"83\", \"total_measure\": 17679.0}, {\"feature_2\": \"81\", \"total_measure\": 17496.0}, {\"feature_2\": \"84\", \"total_measure\": 17220.0}, {\"feature_2\": \"99\", \"total_measure\": 17028.0}, {\"feature_2\": \"80\", \"total_measure\": 16000.0}, {\"feature_2\": \"78\", \"total_measure\": 15600.0}, {\"feature_2\": \"77\", \"total_measure\": 13475.0}, {\"feature_2\": \"79\", \"total_measure\": 13193.0}, {\"feature_2\": \"76\", \"total_measure\": 13072.0}, {\"feature_2\": \"75\", \"total_measure\": 12075.0}, {\"feature_2\": \"73\", \"total_measure\": 11899.0}, {\"feature_2\": \"74\", \"total_measure\": 10360.0}, {\"feature_2\": \"72\", \"total_measure\": 9648.0}, {\"feature_2\": \"71\", \"total_measure\": 9514.0}, {\"feature_2\": \"70\", \"total_measure\": 8260.0}, {\"feature_2\": \"69\", \"total_measure\": 7935.0}, {\"feature_2\": \"67\", \"total_measure\": 7839.0}, {\"feature_2\": \"66\", \"total_measure\": 7524.0}, {\"feature_2\": \"68\", \"total_measure\": 7344.0}, {\"feature_2\": \"65\", \"total_measure\": 6565.0}, {\"feature_2\": \"64\", \"total_measure\": 6208.0}, {\"feature_2\": \"63\", \"total_measure\": 6111.0}, {\"feature_2\": \"62\", \"total_measure\": 4278.0}, {\"feature_2\": \"61\", \"total_measure\": 4209.0}, {\"feature_2\": \"60\", \"total_measure\": 3660.0}, {\"feature_2\": \"59\", \"total_measure\": 3068.0}, {\"feature_2\": \"55\", \"total_measure\": 3025.0}, {\"feature_2\": \"58\", \"total_measure\": 2668.0}, {\"feature_2\": \"57\", \"total_measure\": 2508.0}, {\"feature_2\": \"56\", \"total_measure\": 2352.0}, {\"feature_2\": \"54\", \"total_measure\": 2322.0}, {\"feature_2\": \"53\", \"total_measure\": 1855.0}, {\"feature_2\": \"52\", \"total_measure\": 1768.0}, {\"feature_2\": \"51\", \"total_measure\": 1428.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..42842095902d205b30747040d5dd362793adacbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:28:39.688925+00:00", + "ended_at": "2026-05-19T15:28:49.390769+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_11aceec600252d5a", + "problem_id": "v2p_n9_a8304f590c0be129", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_2, measure_col=feature_2.", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_2", + "top_k": 11, + "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": 100.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_11aceec600252d5a.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_11aceec600252d5a", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 302, + "total_tokens": 15242, + "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": 9691.67, + "sql_execution_elapsed_ms_total": 5.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b18087b76dbe7ad3317be55e00461259cf44d2f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:49.383783+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9691.67, "started_at": "2026-05-19T15:28:39.691278+00:00", "ended_at": "2026-05-19T15:28:49.382986+00:00", "prompt_metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 302, "reasoning_output_tokens": 198}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"feature_2\\\" and measure_col=\\\"feature_2\\\". Used CAST to REAL because the SQLite schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6afe340164cc2c4ffbd1a7eb44fdd1b20e432de4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_11aceec600252d5a", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 302, + "total_tokens": 15242, + "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": 9691.67, + "sql_execution_elapsed_ms_total": 5.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_11aceec600252d5a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c40df5ffaf13398f3b1cd1f762d5b4622ee9c111 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_5, measure_col=feature_5. +Result preview: [{"feature_5": "100", "total_measure": 115500}, {"feature_5": "66", "total_measure": 10494}, {"feature_5": "68", "total_measure": 8840}, {"feature_5": "81", "total_measure": 8586}, {"feature_5": "76", "total_measure": 8360}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a71f5320763c26f3855bc993ab5823e58c047ba4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_12f479947839f0dd +-- problem_id: v2p_n9_09277f354cf026dc +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_5", SUM(CAST("feature_5" AS NUMERIC)) AS "total_measure" +FROM "n9" +GROUP BY "feature_5" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..32487edc8fcb48f7157ea7329fd3b78b7df18403 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/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_h2o_group_sum\nSELECT \"feature_5\", SUM(CAST(\"feature_5\" AS NUMERIC)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_5\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_5\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"feature_5\", \"total_measure\"], \"rows\": [{\"feature_5\": \"100\", \"total_measure\": 115500}, {\"feature_5\": \"66\", \"total_measure\": 10494}, {\"feature_5\": \"68\", \"total_measure\": 8840}, {\"feature_5\": \"81\", \"total_measure\": 8586}, {\"feature_5\": \"76\", \"total_measure\": 8360}, {\"feature_5\": \"65\", \"total_measure\": 8320}, {\"feature_5\": \"74\", \"total_measure\": 8214}, {\"feature_5\": \"78\", \"total_measure\": 8190}, {\"feature_5\": \"73\", \"total_measure\": 8103}, {\"feature_5\": \"83\", \"total_measure\": 7968}, {\"feature_5\": \"62\", \"total_measure\": 7874}, {\"feature_5\": \"77\", \"total_measure\": 7854}, {\"feature_5\": \"70\", \"total_measure\": 7840}, {\"feature_5\": \"88\", \"total_measure\": 7744}, {\"feature_5\": \"79\", \"total_measure\": 7742}, {\"feature_5\": \"92\", \"total_measure\": 7728}, {\"feature_5\": \"67\", \"total_measure\": 7638}, {\"feature_5\": \"82\", \"total_measure\": 7462}, {\"feature_5\": \"69\", \"total_measure\": 7383}, {\"feature_5\": \"85\", \"total_measure\": 7310}, {\"feature_5\": \"64\", \"total_measure\": 7296}, {\"feature_5\": \"71\", \"total_measure\": 7242}, {\"feature_5\": \"60\", \"total_measure\": 7200}, {\"feature_5\": \"90\", \"total_measure\": 7110}, {\"feature_5\": \"87\", \"total_measure\": 7047}, {\"feature_5\": \"61\", \"total_measure\": 6893}, {\"feature_5\": \"89\", \"total_measure\": 6764}, {\"feature_5\": \"96\", \"total_measure\": 6624}, {\"feature_5\": \"72\", \"total_measure\": 6624}, {\"feature_5\": \"95\", \"total_measure\": 6555}, {\"feature_5\": \"91\", \"total_measure\": 6552}, {\"feature_5\": \"84\", \"total_measure\": 6552}, {\"feature_5\": \"63\", \"total_measure\": 6426}, {\"feature_5\": \"80\", \"total_measure\": 6240}, {\"feature_5\": \"59\", \"total_measure\": 6195}, {\"feature_5\": \"93\", \"total_measure\": 6138}, {\"feature_5\": \"75\", \"total_measure\": 6000}, {\"feature_5\": \"94\", \"total_measure\": 5828}, {\"feature_5\": \"97\", \"total_measure\": 5820}, {\"feature_5\": \"57\", \"total_measure\": 5814}, {\"feature_5\": \"58\", \"total_measure\": 5684}, {\"feature_5\": \"86\", \"total_measure\": 5590}, {\"feature_5\": \"56\", \"total_measure\": 5544}, {\"feature_5\": \"52\", \"total_measure\": 5460}, {\"feature_5\": \"55\", \"total_measure\": 5335}, {\"feature_5\": \"54\", \"total_measure\": 5292}, {\"feature_5\": \"49\", \"total_measure\": 4753}, {\"feature_5\": \"50\", \"total_measure\": 4700}, {\"feature_5\": \"53\", \"total_measure\": 4611}, {\"feature_5\": \"51\", \"total_measure\": 4437}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.4}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..634d13051754f871a2c864b838d04063733c203a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:29:42.311961+00:00", + "ended_at": "2026-05-19T15:29:52.840019+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_12f479947839f0dd", + "problem_id": "v2p_n9_09277f354cf026dc", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_5, measure_col=feature_5.", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_5", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 78.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_12f479947839f0dd.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_12f479947839f0dd", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 452, + "total_tokens": 15392, + "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": 10516.94, + "sql_execution_elapsed_ms_total": 6.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b69998602d823b04a12edf21cf3b139fba82c0e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:52.831622+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10516.94, "started_at": "2026-05-19T15:29:42.313273+00:00", "ended_at": "2026-05-19T15:29:52.830251+00:00", "prompt_metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 452, "reasoning_output_tokens": 345}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_5\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"feature_5\\\" and measure_col=\\\"feature_5\\\". CAST was added because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b20993c1d92558db7f894036aed8c8df543f1725 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_12f479947839f0dd", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 452, + "total_tokens": 15392, + "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": 10516.94, + "sql_execution_elapsed_ms_total": 6.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_12f479947839f0dd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1576966156d9c3ca6c8329f66f92f7819a6156e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 2239, "support_share": 0.20369359534206696, "support_rank": 1}, {"value_label": "75", "support": 237, "support_share": 0.02156113537117904, "support_rank": 2}, {"value_label": "35", "support": 179, "support_share": 0.016284570596797672, "support_rank": 3}, {"value_label": "44", "support": 159, "support_share": 0.014465065502183407, "support_rank": 4}, {"value_label": "36", "support": 151, "support_share": 0.0137372634643377, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f887e3852a0e0aed98f983fa972a618281b52b64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n9_14fa517d5e4edab1 +-- problem_id: v2p_n9_1b9cdc6ddc514908 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_10" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_10" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..345440c7ef5d90cccc1201871f3e71a72ea1a7bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n9_14fa517d5e4edab1\n-- problem_id: v2p_n9_1b9cdc6ddc514908\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_10\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_10\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n9_14fa517d5e4edab1\\n-- problem_id: v2p_n9_1b9cdc6ddc514908\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_10\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_10\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 2239, \"support_share\": 0.20369359534206696, \"support_rank\": 1}, {\"value_label\": \"75\", \"support\": 237, \"support_share\": 0.02156113537117904, \"support_rank\": 2}, {\"value_label\": \"35\", \"support\": 179, \"support_share\": 0.016284570596797672, \"support_rank\": 3}, {\"value_label\": \"44\", \"support\": 159, \"support_share\": 0.014465065502183407, \"support_rank\": 4}, {\"value_label\": \"36\", \"support\": 151, \"support_share\": 0.0137372634643377, \"support_rank\": 5}, {\"value_label\": \"45\", \"support\": 147, \"support_share\": 0.013373362445414847, \"support_rank\": 6}, {\"value_label\": \"34\", \"support\": 140, \"support_share\": 0.012736535662299854, \"support_rank\": 7}, {\"value_label\": \"43\", \"support\": 140, \"support_share\": 0.012736535662299854, \"support_rank\": 8}, {\"value_label\": \"42\", \"support\": 139, \"support_share\": 0.012645560407569142, \"support_rank\": 9}, {\"value_label\": \"40\", \"support\": 138, \"support_share\": 0.012554585152838428, \"support_rank\": 10}, {\"value_label\": \"41\", \"support\": 138, \"support_share\": 0.012554585152838428, \"support_rank\": 11}, {\"value_label\": \"38\", \"support\": 137, \"support_share\": 0.012463609898107715, \"support_rank\": 12}, {\"value_label\": \"48\", \"support\": 133, \"support_share\": 0.012099708879184861, \"support_rank\": 13}, {\"value_label\": \"49\", \"support\": 133, \"support_share\": 0.012099708879184861, \"support_rank\": 14}, {\"value_label\": \"29\", \"support\": 132, \"support_share\": 0.012008733624454149, \"support_rank\": 15}, {\"value_label\": \"30\", \"support\": 131, \"support_share\": 0.011917758369723435, \"support_rank\": 16}, {\"value_label\": \"47\", \"support\": 130, \"support_share\": 0.011826783114992722, \"support_rank\": 17}, {\"value_label\": \"46\", \"support\": 128, \"support_share\": 0.011644832605531296, \"support_rank\": 18}, {\"value_label\": \"16\", \"support\": 123, \"support_share\": 0.01118995633187773, \"support_rank\": 19}, {\"value_label\": \"32\", \"support\": 122, \"support_share\": 0.011098981077147015, \"support_rank\": 20}, {\"value_label\": \"39\", \"support\": 122, \"support_share\": 0.011098981077147015, \"support_rank\": 21}, {\"value_label\": \"50\", \"support\": 122, \"support_share\": 0.011098981077147015, \"support_rank\": 22}, {\"value_label\": \"37\", \"support\": 121, \"support_share\": 0.011008005822416303, \"support_rank\": 23}, {\"value_label\": \"12\", \"support\": 117, \"support_share\": 0.01064410480349345, \"support_rank\": 24}, {\"value_label\": \"25\", \"support\": 113, \"support_share\": 0.010280203784570598, \"support_rank\": 25}, {\"value_label\": \"24\", \"support\": 112, \"support_share\": 0.010189228529839884, \"support_rank\": 26}, {\"value_label\": \"20\", \"support\": 110, \"support_share\": 0.010007278020378457, \"support_rank\": 27}, {\"value_label\": \"22\", \"support\": 110, \"support_share\": 0.010007278020378457, \"support_rank\": 28}, {\"value_label\": \"31\", \"support\": 110, \"support_share\": 0.010007278020378457, \"support_rank\": 29}, {\"value_label\": \"74\", \"support\": 110, \"support_share\": 0.010007278020378457, \"support_rank\": 30}, {\"value_label\": \"27\", \"support\": 109, \"support_share\": 0.009916302765647743, \"support_rank\": 31}, {\"value_label\": \"19\", \"support\": 107, \"support_share\": 0.009734352256186317, \"support_rank\": 32}, {\"value_label\": \"33\", \"support\": 107, \"support_share\": 0.009734352256186317, \"support_rank\": 33}, {\"value_label\": \"15\", \"support\": 106, \"support_share\": 0.009643377001455605, \"support_rank\": 34}, {\"value_label\": \"6\", \"support\": 105, \"support_share\": 0.00955240174672489, \"support_rank\": 35}, {\"value_label\": \"23\", \"support\": 104, \"support_share\": 0.009461426491994178, \"support_rank\": 36}, {\"value_label\": \"17\", \"support\": 103, \"support_share\": 0.009370451237263464, \"support_rank\": 37}, {\"value_label\": \"28\", \"support\": 103, \"support_share\": 0.009370451237263464, \"support_rank\": 38}, {\"value_label\": \"13\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 39}, {\"value_label\": \"52\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 40}, {\"value_label\": \"60\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 41}, {\"value_label\": \"10\", \"support\": 101, \"support_share\": 0.009188500727802038, \"support_rank\": 42}, {\"value_label\": \"51\", \"support\": 101, \"support_share\": 0.009188500727802038, \"support_rank\": 43}, {\"value_label\": \"64\", \"support\": 99, \"support_share\": 0.009006550218340612, \"support_rank\": 44}, {\"value_label\": \"8\", \"support\": 96, \"support_share\": 0.008733624454148471, \"support_rank\": 45}, {\"value_label\": \"14\", \"support\": 94, \"support_share\": 0.008551673944687045, \"support_rank\": 46}, {\"value_label\": \"62\", \"support\": 94, \"support_share\": 0.008551673944687045, \"support_rank\": 47}, {\"value_label\": \"18\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 48}, {\"value_label\": \"26\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 49}, {\"value_label\": \"4\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0651409529685422ebf1ddf9690668b747e55f8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.823118+00:00", + "ended_at": "2026-05-19T16:10:15.828410+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_14fa517d5e4edab1", + "problem_id": "v2p_n9_1b9cdc6ddc514908", + "dataset_id": "n9", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=feature_10.", + "bindings": { + "group_col": "feature_10" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_14fa517d5e4edab1.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_14fa517d5e4edab1/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..afeae721563658be20de344ac10a1169a8922baf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_3. +Result preview: [{"feature_3": "100", "total_measure": 30900}, {"feature_3": "62", "total_measure": 8618}, {"feature_3": "57", "total_measure": 8550}, {"feature_3": "60", "total_measure": 8460}, {"feature_3": "56", "total_measure": 8344}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..457faa5cf0e6b82f9f797a01155b0bf26b56ac85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_16992fe8afda9285 +-- problem_id: v2p_n9_b9db580638f46b9a +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_3", SUM(CAST("feature_3" AS NUMERIC)) AS "total_measure" +FROM "n9" +GROUP BY "feature_3" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17c04df053270cc89f0aae94b9b4bc91e0bbb9e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/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_h2o_group_sum\nSELECT \"feature_3\", SUM(CAST(\"feature_3\" AS NUMERIC)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_3\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_3\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"feature_3\", \"total_measure\"], \"rows\": [{\"feature_3\": \"100\", \"total_measure\": 30900}, {\"feature_3\": \"62\", \"total_measure\": 8618}, {\"feature_3\": \"57\", \"total_measure\": 8550}, {\"feature_3\": \"60\", \"total_measure\": 8460}, {\"feature_3\": \"56\", \"total_measure\": 8344}, {\"feature_3\": \"53\", \"total_measure\": 8321}, {\"feature_3\": \"58\", \"total_measure\": 8178}, {\"feature_3\": \"52\", \"total_measure\": 8164}, {\"feature_3\": \"46\", \"total_measure\": 8142}, {\"feature_3\": \"59\", \"total_measure\": 7906}, {\"feature_3\": \"54\", \"total_measure\": 7884}, {\"feature_3\": \"55\", \"total_measure\": 7755}, {\"feature_3\": \"51\", \"total_measure\": 7344}, {\"feature_3\": \"50\", \"total_measure\": 7250}, {\"feature_3\": \"44\", \"total_measure\": 7084}, {\"feature_3\": \"47\", \"total_measure\": 7050}, {\"feature_3\": \"49\", \"total_measure\": 7007}, {\"feature_3\": \"43\", \"total_measure\": 6837}, {\"feature_3\": \"40\", \"total_measure\": 6680}, {\"feature_3\": \"66\", \"total_measure\": 6666}, {\"feature_3\": \"61\", \"total_measure\": 6649}, {\"feature_3\": \"42\", \"total_measure\": 6594}, {\"feature_3\": \"39\", \"total_measure\": 6552}, {\"feature_3\": \"35\", \"total_measure\": 6475}, {\"feature_3\": \"64\", \"total_measure\": 6336}, {\"feature_3\": \"38\", \"total_measure\": 6308}, {\"feature_3\": \"63\", \"total_measure\": 6300}, {\"feature_3\": \"48\", \"total_measure\": 6288}, {\"feature_3\": \"68\", \"total_measure\": 6188}, {\"feature_3\": \"41\", \"total_measure\": 6068}, {\"feature_3\": \"67\", \"total_measure\": 5963}, {\"feature_3\": \"45\", \"total_measure\": 5940}, {\"feature_3\": \"77\", \"total_measure\": 5852}, {\"feature_3\": \"34\", \"total_measure\": 5678}, {\"feature_3\": \"73\", \"total_measure\": 5621}, {\"feature_3\": \"70\", \"total_measure\": 5460}, {\"feature_3\": \"74\", \"total_measure\": 5254}, {\"feature_3\": \"75\", \"total_measure\": 5250}, {\"feature_3\": \"69\", \"total_measure\": 5244}, {\"feature_3\": \"71\", \"total_measure\": 4970}, {\"feature_3\": \"72\", \"total_measure\": 4968}, {\"feature_3\": \"36\", \"total_measure\": 4968}, {\"feature_3\": \"37\", \"total_measure\": 4884}, {\"feature_3\": \"65\", \"total_measure\": 4745}, {\"feature_3\": \"76\", \"total_measure\": 4636}, {\"feature_3\": \"30\", \"total_measure\": 4560}, {\"feature_3\": \"33\", \"total_measure\": 4521}, {\"feature_3\": \"31\", \"total_measure\": 4402}, {\"feature_3\": \"80\", \"total_measure\": 4400}, {\"feature_3\": \"32\", \"total_measure\": 4384}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..471b313847e232512c40a04e8e03fc1a3111be88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:29:03.402293+00:00", + "ended_at": "2026-05-19T15:29:11.182148+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_16992fe8afda9285", + "problem_id": "v2p_n9_b9db580638f46b9a", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_3, measure_col=feature_3.", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_3", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 58.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=2" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_16992fe8afda9285.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_16992fe8afda9285", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 269, + "total_tokens": 15209, + "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": 7761.72, + "sql_execution_elapsed_ms_total": 12.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..250250d6d43b67be7d1d2e65e58b2e9cbb4bf497 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:11.166757+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7761.72, "started_at": "2026-05-19T15:29:03.403391+00:00", "ended_at": "2026-05-19T15:29:11.165144+00:00", "prompt_metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 269, "reasoning_output_tokens": 160}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_3\\\", SUM(CAST(\\\"feature_3\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"feature_3\\\" and measure_col=\\\"feature_3\\\". Used CAST to NUMERIC because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..081f17f095f0aee8504b2416f82ad78714691ad4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_16992fe8afda9285", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 269, + "total_tokens": 15209, + "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": 7761.72, + "sql_execution_elapsed_ms_total": 12.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_16992fe8afda9285/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..743d6abb5f20b7324493083c5ee9db9e31c2d74b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "100", "support": 1764, "support_share": 0.16048034934497818, "cumulative_support": 1764}, {"value_label": "0", "support": 1028, "support_share": 0.09352256186317322, "cumulative_support": 2792}, {"value_label": "84", "support": 127, "support_share": 0.011553857350800582, "cumulative_support": 2919}, {"value_label": "88", "support": 124, "support_share": 0.011280931586608443, "cumulative_support": 3043}, {"value_label": "71", "support": 113, "support_share": 0.010280203784570598, "cumulative_support": 3156}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..96fd9dbed78cbb83d0bac69cbc2bdf756ccb5d4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n9_1b9ae5269fe39f86 +-- problem_id: v2p_n9_ecfeb614d88ae66e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_9" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_9" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8a5cf701f8ac8ff1c6b7af035c27178f47383204 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n9_1b9ae5269fe39f86\n-- problem_id: v2p_n9_ecfeb614d88ae66e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_9\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_9\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n9_1b9ae5269fe39f86\\n-- problem_id: v2p_n9_ecfeb614d88ae66e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_9\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"100\", \"support\": 1764, \"support_share\": 0.16048034934497818, \"cumulative_support\": 1764}, {\"value_label\": \"0\", \"support\": 1028, \"support_share\": 0.09352256186317322, \"cumulative_support\": 2792}, {\"value_label\": \"84\", \"support\": 127, \"support_share\": 0.011553857350800582, \"cumulative_support\": 2919}, {\"value_label\": \"88\", \"support\": 124, \"support_share\": 0.011280931586608443, \"cumulative_support\": 3043}, {\"value_label\": \"71\", \"support\": 113, \"support_share\": 0.010280203784570598, \"cumulative_support\": 3156}, {\"value_label\": \"79\", \"support\": 113, \"support_share\": 0.010280203784570598, \"cumulative_support\": 3269}, {\"value_label\": \"94\", \"support\": 113, \"support_share\": 0.010280203784570598, \"cumulative_support\": 3382}, {\"value_label\": \"41\", \"support\": 109, \"support_share\": 0.009916302765647743, \"cumulative_support\": 3491}, {\"value_label\": \"60\", \"support\": 109, \"support_share\": 0.009916302765647743, \"cumulative_support\": 3600}, {\"value_label\": \"82\", \"support\": 108, \"support_share\": 0.009825327510917031, \"cumulative_support\": 3708}, {\"value_label\": \"85\", \"support\": 106, \"support_share\": 0.009643377001455605, \"cumulative_support\": 3814}, {\"value_label\": \"95\", \"support\": 106, \"support_share\": 0.009643377001455605, \"cumulative_support\": 3920}, {\"value_label\": \"77\", \"support\": 105, \"support_share\": 0.00955240174672489, \"cumulative_support\": 4025}, {\"value_label\": \"42\", \"support\": 103, \"support_share\": 0.009370451237263464, \"cumulative_support\": 4128}, {\"value_label\": \"78\", \"support\": 103, \"support_share\": 0.009370451237263464, \"cumulative_support\": 4231}, {\"value_label\": \"62\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 4333}, {\"value_label\": \"70\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 4435}, {\"value_label\": \"81\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 4537}, {\"value_label\": \"86\", \"support\": 101, \"support_share\": 0.009188500727802038, \"cumulative_support\": 4638}, {\"value_label\": \"93\", \"support\": 101, \"support_share\": 0.009188500727802038, \"cumulative_support\": 4739}, {\"value_label\": \"46\", \"support\": 99, \"support_share\": 0.009006550218340612, \"cumulative_support\": 4838}, {\"value_label\": \"48\", \"support\": 99, \"support_share\": 0.009006550218340612, \"cumulative_support\": 4937}, {\"value_label\": \"47\", \"support\": 98, \"support_share\": 0.008915574963609897, \"cumulative_support\": 5035}, {\"value_label\": \"67\", \"support\": 98, \"support_share\": 0.008915574963609897, \"cumulative_support\": 5133}, {\"value_label\": \"92\", \"support\": 98, \"support_share\": 0.008915574963609897, \"cumulative_support\": 5231}, {\"value_label\": \"38\", \"support\": 97, \"support_share\": 0.008824599708879185, \"cumulative_support\": 5328}, {\"value_label\": \"59\", \"support\": 97, \"support_share\": 0.008824599708879185, \"cumulative_support\": 5425}, {\"value_label\": \"91\", \"support\": 97, \"support_share\": 0.008824599708879185, \"cumulative_support\": 5522}, {\"value_label\": \"58\", \"support\": 96, \"support_share\": 0.008733624454148471, \"cumulative_support\": 5618}, {\"value_label\": \"44\", \"support\": 95, \"support_share\": 0.008642649199417759, \"cumulative_support\": 5713}, {\"value_label\": \"45\", \"support\": 95, \"support_share\": 0.008642649199417759, \"cumulative_support\": 5808}, {\"value_label\": \"72\", \"support\": 95, \"support_share\": 0.008642649199417759, \"cumulative_support\": 5903}, {\"value_label\": \"83\", \"support\": 95, \"support_share\": 0.008642649199417759, \"cumulative_support\": 5998}, {\"value_label\": \"80\", \"support\": 94, \"support_share\": 0.008551673944687045, \"cumulative_support\": 6092}, {\"value_label\": \"87\", \"support\": 94, \"support_share\": 0.008551673944687045, \"cumulative_support\": 6186}, {\"value_label\": \"51\", \"support\": 93, \"support_share\": 0.008460698689956333, \"cumulative_support\": 6279}, {\"value_label\": \"55\", \"support\": 93, \"support_share\": 0.008460698689956333, \"cumulative_support\": 6372}, {\"value_label\": \"24\", \"support\": 91, \"support_share\": 0.008278748180494906, \"cumulative_support\": 6463}, {\"value_label\": \"89\", \"support\": 91, \"support_share\": 0.008278748180494906, \"cumulative_support\": 6554}, {\"value_label\": \"90\", \"support\": 91, \"support_share\": 0.008278748180494906, \"cumulative_support\": 6645}, {\"value_label\": \"73\", \"support\": 90, \"support_share\": 0.008187772925764192, \"cumulative_support\": 6735}, {\"value_label\": \"75\", \"support\": 90, \"support_share\": 0.008187772925764192, \"cumulative_support\": 6825}, {\"value_label\": \"37\", \"support\": 88, \"support_share\": 0.008005822416302766, \"cumulative_support\": 6913}, {\"value_label\": \"43\", \"support\": 88, \"support_share\": 0.008005822416302766, \"cumulative_support\": 7001}, {\"value_label\": \"66\", \"support\": 88, \"support_share\": 0.008005822416302766, \"cumulative_support\": 7089}, {\"value_label\": \"96\", \"support\": 88, \"support_share\": 0.008005822416302766, \"cumulative_support\": 7177}, {\"value_label\": \"40\", \"support\": 87, \"support_share\": 0.007914847161572052, \"cumulative_support\": 7264}, {\"value_label\": \"49\", \"support\": 87, \"support_share\": 0.007914847161572052, \"cumulative_support\": 7351}, {\"value_label\": \"61\", \"support\": 86, \"support_share\": 0.00782387190684134, \"cumulative_support\": 7437}, {\"value_label\": \"36\", \"support\": 85, \"support_share\": 0.007732896652110626, \"cumulative_support\": 7522}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..09a0936c2b377418bb5abf48d1b705b700a53437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.747924+00:00", + "ended_at": "2026-05-19T16:10:15.753217+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_1b9ae5269fe39f86", + "problem_id": "v2p_n9_ecfeb614d88ae66e", + "dataset_id": "n9", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=feature_9.", + "bindings": { + "group_col": "feature_9" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_1b9ae5269fe39f86.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1b9ae5269fe39f86/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e1029a0b441828d55664ec3d8dbb03c0eef6d7a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:05:12.174776+00:00", + "ended_at": "2026-05-19T16:05:19.271449+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_1c32a8746b48e9fe", + "problem_id": "v2p_n9_80bda5d5b5adfddd", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "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 Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_2.", + "bindings": { + "group_col": "feature_2", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 89.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dace003f4d0f25e187054c812519b062a99a0355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1c32a8746b48e9fe/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:15.521600+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3344.15, "started_at": "2026-05-19T16:05:12.176666+00:00", "ended_at": "2026-05-19T16:05:15.520843+00:00", "prompt_metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-ec68-7dd1-839d-2235bbcb3a9f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:19.271360+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2747.34, "started_at": "2026-05-19T16:05:16.523241+00:00", "ended_at": "2026-05-19T16:05:19.270638+00:00", "prompt_metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-fd65-7322-890c-36a76fae831b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d165ccc1fd9bea67bb40d09840fd3e8c453c3850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9950, "bytes_utf8": 9950, "lines": 300, "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": 667, "bytes_utf8": 667, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 645, "reasoning_output_tokens": 451}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d62a80ca4ec8914f9708f53a3d5a69f6340b887 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_1d9d55c5f7ad11f7", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 645, + "total_tokens": 15723, + "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": 15811.37, + "sql_execution_elapsed_ms_total": 11.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5126db8e7c7cd7739a2968729faf12e009fa883c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/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": "2026-05-19T15:49:04.992839+00:00", + "ended_at": "2026-05-19T15:49:20.804242+00:00", + "elapsed_ms": 15811.37, + "prompt_metrics": { + "chars": 9950, + "bytes_utf8": 9950, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1082, + "bytes_utf8": 1082, + "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": 667, + "bytes_utf8": 667, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 645, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..856e2e1dc0ce2edd3d81e90f837568c90eb2fc42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_11, measure_col=feature_15.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_11", + "measure_col": "feature_15", + "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": 81.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a48986ee340d4527a5a8206a0493964a42761f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-2a62-7aa0-88fb-b5fc9eff5bfc"} +{"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 \\\"feature_11\\\", SUM(CAST(\\\"feature_15\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_11\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"feature_11\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the required Relative-to-Total Extreme Threshold template with group_col=\\\"feature_11\\\" and measure_col=\\\"feature_15\\\", casting the TEXT measure to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15078,"cached_input_tokens":13696,"output_tokens":645,"reasoning_output_tokens":451}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddf14f9ae590dc713887275ef92203ce924e249e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"feature_11\", SUM(CAST(\"feature_15\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_11\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"feature_11\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Uses the required Relative-to-Total Extreme Threshold template with group_col=\"feature_11\" and measure_col=\"feature_15\", casting the TEXT measure to REAL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1d9d55c5f7ad11f7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a00d9dd159921cc1afdfc1d3146d3d93cf443f0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_13. +Result preview: [{"feature_13": "100"}, {"feature_13": "100"}, {"feature_13": "100"}, {"feature_13": "100"}, {"feature_13": "100"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dfcf53b4ac8740d94688d3c27047e5e8ea183cc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n9_1de89bcde10c70dc +-- problem_id: v2p_n9_757df9b92e4481d2 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "feature_13", + NTILE(10) OVER (ORDER BY CAST("feature_13" AS REAL) DESC) AS "tail_bucket" + FROM "n9" +) +SELECT "feature_13" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("feature_13" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f2cc6df3e1112478603060614b806f6ace2f9c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/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_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"feature_13\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_13\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n9\"\n)\nSELECT \"feature_13\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"feature_13\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"feature_13\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_13\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_13\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"feature_13\\\" AS REAL) DESC;\", \"columns\": [\"feature_13\"], \"rows\": [{\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}, {\"feature_13\": \"100\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 26.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6343e6a02e74bd2dd62566fc71fbfdc921b1191f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:43:37.165133+00:00", + "ended_at": "2026-05-19T15:44:06.144809+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_1de89bcde10c70dc", + "problem_id": "v2p_n9_757df9b92e4481d2", + "dataset_id": "n9", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_13.", + "bindings": { + "measure_col": "feature_13", + "top_k": 10, + "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": 68.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=60" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_1de89bcde10c70dc.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_1de89bcde10c70dc", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 614, + "total_tokens": 15605, + "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": 28949.21, + "sql_execution_elapsed_ms_total": 26.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f96f3da88aea97a945fef2c1bd62a9ac119213ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:06.116800+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 28949.21, "started_at": "2026-05-19T15:43:37.166199+00:00", "ended_at": "2026-05-19T15:44:06.115437+00:00", "prompt_metrics": {"chars": 9560, "bytes_utf8": 9560, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 523, "bytes_utf8": 523, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 614, "reasoning_output_tokens": 459}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"feature_13\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_13\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_13\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"feature_13\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_13\\\" and num_tiles=10. CAST is used because the schema stores feature columns as TEXT, but the measure is numeric.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..07c4d409c971f6381d0d457680a33d022fe1fc96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_1de89bcde10c70dc", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 614, + "total_tokens": 15605, + "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": 28949.21, + "sql_execution_elapsed_ms_total": 26.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1de89bcde10c70dc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f66f11ebabf787383e1afad43a8308d89ca2ce01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/final_answer.txt @@ -0,0 +1 @@ +No rows were returned for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_13, measure_col=feature_1. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ac810064794f339cf1c5867718d2d54141b933d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_1e382e099d2383ee +-- problem_id: v2p_n9_e67bf7a36da9c605 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "feature_13" AS "feature_13", + SUM(CAST("feature_1" AS REAL)) AS "group_value" + FROM "n9" + GROUP BY "feature_13" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT + g."feature_13", + g."group_value" +FROM grouped AS g +CROSS JOIN total AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bbc6774247fd5b53e33b92254baa465b09d0ef9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/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_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"feature_13\" AS \"feature_13\",\n SUM(CAST(\"feature_1\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_13\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT\n g.\"feature_13\",\n g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"feature_13\\\" AS \\\"feature_13\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_13\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT\\n g.\\\"feature_13\\\",\\n g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"feature_13\", \"group_value\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..68986aaaa07b1c265c358ab235152ba41de82f7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:49:51.409292+00:00", + "ended_at": "2026-05-19T15:50:06.625155+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_1e382e099d2383ee", + "problem_id": "v2p_n9_e67bf7a36da9c605", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_13, measure_col=feature_1.", + "bindings": { + "group_col": "feature_13", + "measure_col": "feature_1", + "top_k": 10, + "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": 65.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_1e382e099d2383ee.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_1e382e099d2383ee", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 694, + "total_tokens": 15770, + "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": 15196.41, + "sql_execution_elapsed_ms_total": 13.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ad80e85963e87093d5fd188c0b824849abf3b0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:06.608693+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15196.41, "started_at": "2026-05-19T15:49:51.410700+00:00", "ended_at": "2026-05-19T15:50:06.607139+00:00", "prompt_metrics": {"chars": 9945, "bytes_utf8": 9945, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 802, "bytes_utf8": 802, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 694, "reasoning_output_tokens": 477}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"feature_13\\\" AS \\\"feature_13\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_13\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT\\n g.\\\"feature_13\\\",\\n g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the planned relative-to-total threshold template using \\\"feature_13\\\" as the grouping column and SUM of \\\"feature_1\\\" as the measure, with CAST to REAL because the schema stores features as TEXT. The filter keeps groups whose summed measure exceeds 10% of the overall total.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0ac6d365bd658d850e8ab313188b829db3afdb60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_1e382e099d2383ee", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 694, + "total_tokens": 15770, + "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": 15196.41, + "sql_execution_elapsed_ms_total": 13.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1e382e099d2383ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4b74eb757efaf546e30122e6588e49e69b13128 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"feature_8": "0", "support": 1556, "avg_response": 90.75706940874036}, {"feature_8": "100", "support": 728, "avg_response": 62.23076923076923}, {"feature_8": "35", "support": 183, "avg_response": 88.73770491803279}, {"feature_8": "34", "support": 177, "avg_response": 90.2090395480226}, {"feature_8": "40", "support": 176, "avg_response": 88.49431818181819}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7eebde61a6b17d06e2ce93fc273cf67d598802a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n9_1fa4c76f4bdb935b +-- problem_id: v2p_n9_92658bd5eff418fe +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "feature_8", + COUNT(*) AS support, + AVG("feature_2") AS avg_response +FROM "n9" +GROUP BY "feature_8" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d2770a687e8a4275c85c91f64a8400d1162ee6de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n9_1fa4c76f4bdb935b\n-- problem_id: v2p_n9_92658bd5eff418fe\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"feature_8\",\n COUNT(*) AS support,\n AVG(\"feature_2\") AS avg_response\nFROM \"n9\"\nGROUP BY \"feature_8\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n9_1fa4c76f4bdb935b\\n-- problem_id: v2p_n9_92658bd5eff418fe\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"feature_8\\\",\\n COUNT(*) AS support,\\n AVG(\\\"feature_2\\\") AS avg_response\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"feature_8\", \"support\", \"avg_response\"], \"rows\": [{\"feature_8\": \"0\", \"support\": 1556, \"avg_response\": 90.75706940874036}, {\"feature_8\": \"100\", \"support\": 728, \"avg_response\": 62.23076923076923}, {\"feature_8\": \"35\", \"support\": 183, \"avg_response\": 88.73770491803279}, {\"feature_8\": \"34\", \"support\": 177, \"avg_response\": 90.2090395480226}, {\"feature_8\": \"40\", \"support\": 176, \"avg_response\": 88.49431818181819}, {\"feature_8\": \"39\", \"support\": 175, \"avg_response\": 87.32}, {\"feature_8\": \"43\", \"support\": 173, \"avg_response\": 88.13872832369943}, {\"feature_8\": \"36\", \"support\": 169, \"avg_response\": 87.73372781065089}, {\"feature_8\": \"38\", \"support\": 167, \"avg_response\": 88.10179640718563}, {\"feature_8\": \"33\", \"support\": 159, \"avg_response\": 90.67924528301887}, {\"feature_8\": \"37\", \"support\": 152, \"avg_response\": 88.54605263157895}, {\"feature_8\": \"31\", \"support\": 147, \"avg_response\": 90.1360544217687}, {\"feature_8\": \"52\", \"support\": 146, \"avg_response\": 84.06849315068493}, {\"feature_8\": \"58\", \"support\": 145, \"avg_response\": 83.86206896551724}, {\"feature_8\": \"60\", \"support\": 145, \"avg_response\": 82.17241379310344}, {\"feature_8\": \"55\", \"support\": 144, \"avg_response\": 84.69444444444444}, {\"feature_8\": \"42\", \"support\": 142, \"avg_response\": 85.88732394366197}, {\"feature_8\": \"50\", \"support\": 142, \"avg_response\": 84.36619718309859}, {\"feature_8\": \"53\", \"support\": 142, \"avg_response\": 84.35915492957747}, {\"feature_8\": \"32\", \"support\": 140, \"avg_response\": 91.78571428571429}, {\"feature_8\": \"41\", \"support\": 138, \"avg_response\": 88.8840579710145}, {\"feature_8\": \"62\", \"support\": 136, \"avg_response\": 81.16176470588235}, {\"feature_8\": \"61\", \"support\": 132, \"avg_response\": 82.65151515151516}, {\"feature_8\": \"57\", \"support\": 131, \"avg_response\": 83.86259541984732}, {\"feature_8\": \"51\", \"support\": 129, \"avg_response\": 86.62015503875969}, {\"feature_8\": \"48\", \"support\": 128, \"avg_response\": 86.8203125}, {\"feature_8\": \"63\", \"support\": 127, \"avg_response\": 82.35433070866142}, {\"feature_8\": \"28\", \"support\": 122, \"avg_response\": 94.42622950819673}, {\"feature_8\": \"44\", \"support\": 122, \"avg_response\": 88.00819672131148}, {\"feature_8\": \"66\", \"support\": 122, \"avg_response\": 80.19672131147541}, {\"feature_8\": \"47\", \"support\": 121, \"avg_response\": 89.40495867768595}, {\"feature_8\": \"64\", \"support\": 121, \"avg_response\": 79.23140495867769}, {\"feature_8\": \"45\", \"support\": 119, \"avg_response\": 86.92436974789916}, {\"feature_8\": \"59\", \"support\": 117, \"avg_response\": 83.19658119658119}, {\"feature_8\": \"27\", \"support\": 116, \"avg_response\": 90.74137931034483}, {\"feature_8\": \"46\", \"support\": 115, \"avg_response\": 85.90434782608696}, {\"feature_8\": \"29\", \"support\": 114, \"avg_response\": 94.00877192982456}, {\"feature_8\": \"56\", \"support\": 114, \"avg_response\": 84.09649122807018}, {\"feature_8\": \"30\", \"support\": 111, \"avg_response\": 92.24324324324324}, {\"feature_8\": \"54\", \"support\": 111, \"avg_response\": 84.23423423423424}, {\"feature_8\": \"25\", \"support\": 105, \"avg_response\": 94.18095238095238}, {\"feature_8\": \"65\", \"support\": 99, \"avg_response\": 80.94949494949495}, {\"feature_8\": \"26\", \"support\": 95, \"avg_response\": 93.63157894736842}, {\"feature_8\": \"67\", \"support\": 94, \"avg_response\": 83.12765957446808}, {\"feature_8\": \"24\", \"support\": 91, \"avg_response\": 91.34065934065934}, {\"feature_8\": \"22\", \"support\": 86, \"avg_response\": 92.72093023255815}, {\"feature_8\": \"49\", \"support\": 85, \"avg_response\": 84.21176470588236}, {\"feature_8\": \"23\", \"support\": 83, \"avg_response\": 91.72289156626506}, {\"feature_8\": \"68\", \"support\": 83, \"avg_response\": 81.89156626506023}, {\"feature_8\": \"20\", \"support\": 82, \"avg_response\": 95.40243902439025}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..09183982c5f6e33fa2b28c3d21ddae537e822690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.883599+00:00", + "ended_at": "2026-05-19T16:10:15.889500+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_1fa4c76f4bdb935b", + "problem_id": "v2p_n9_92658bd5eff418fe", + "dataset_id": "n9", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=feature_2, key_col=feature_8.", + "bindings": { + "key_col": "feature_8", + "measure_col": "feature_2", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_1fa4c76f4bdb935b.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_1fa4c76f4bdb935b/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..947ec6e6d4e203c7c5d9a4ec3c411cefb910ec1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/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": "2026-05-19T16:03:35.542593+00:00", + "ended_at": "2026-05-19T16:03:38.603342+00:00", + "elapsed_ms": 3060.72, + "returncode": 1, + "prompt_metrics": { + "chars": 9624, + "bytes_utf8": 9624, + "lines": 303, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..83ec0688301765e5f8942c2a2e7ee84281a3c348 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/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": "2026-05-19T16:03:39.605622+00:00", + "ended_at": "2026-05-19T16:03:42.757778+00:00", + "elapsed_ms": 3152.11, + "returncode": 1, + "prompt_metrics": { + "chars": 9624, + "bytes_utf8": 9624, + "lines": 303, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2b98273de1e1a0c8732572fffeb47757fba28ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_2, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_2", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 64.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2b98273de1e1a0c8732572fffeb47757fba28ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,303 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_2, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_2", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 64.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f23baa898fc2931d27f62796d0ca794f0c7f1f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-7320-7370-840e-7fddcc2a0c50"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8670f002dd2ebe5920431c0285cb8819b9a2fee6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-7320-7370-840e-7fddcc2a0c50"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..11ec80cc1a0d98edba3d026ab31db407dabfd532 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-831d-7693-8165-c28abe6e8f63"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9fcdb4525c5875d306ab7d9f6d6c9d4c096b7a45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:03:35.541274+00:00", + "ended_at": "2026-05-19T16:03:42.759144+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_2228064564b796ef", + "problem_id": "v2p_n9_24f611f432256aee", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_2, condition_col=class.", + "bindings": { + "group_col": "feature_2", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 64.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..13610ffcf052c78fd0d20011c83e7cad1e2f4377 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2228064564b796ef/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:38.604396+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3060.72, "started_at": "2026-05-19T16:03:35.542593+00:00", "ended_at": "2026-05-19T16:03:38.603342+00:00", "prompt_metrics": {"chars": 9624, "bytes_utf8": 9624, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-7320-7370-840e-7fddcc2a0c50\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. 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Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:42.759006+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3152.11, "started_at": "2026-05-19T16:03:39.605622+00:00", "ended_at": "2026-05-19T16:03:42.757778+00:00", "prompt_metrics": {"chars": 9624, "bytes_utf8": 9624, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-831d-7693-8165-c28abe6e8f63\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f66374505f8555e505bb74a8d7196dd25316f873 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 2364, "support_share": 0.21506550218340612, "support_rank": 1}, {"value_label": "100", "support": 1143, "support_share": 0.10398471615720524, "support_rank": 2}, {"value_label": "32", "support": 137, "support_share": 0.012463609898107715, "support_rank": 3}, {"value_label": "26", "support": 129, "support_share": 0.011735807860262008, "support_rank": 4}, {"value_label": "38", "support": 123, "support_share": 0.01118995633187773, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e4f57083c64e4064d805204f4aee35cb73f2f980 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n9_224c71ff82b3fc3e +-- problem_id: v2p_n9_134d94fea1d09454 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_1" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_1" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dfe3310d8a403c9cf3b0c59142a1effaaf00f603 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n9_224c71ff82b3fc3e\n-- problem_id: v2p_n9_134d94fea1d09454\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_1\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_1\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n9_224c71ff82b3fc3e\\n-- problem_id: v2p_n9_134d94fea1d09454\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_1\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_1\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 2364, \"support_share\": 0.21506550218340612, \"support_rank\": 1}, {\"value_label\": \"100\", \"support\": 1143, \"support_share\": 0.10398471615720524, \"support_rank\": 2}, {\"value_label\": \"32\", \"support\": 137, \"support_share\": 0.012463609898107715, \"support_rank\": 3}, {\"value_label\": \"26\", \"support\": 129, \"support_share\": 0.011735807860262008, \"support_rank\": 4}, {\"value_label\": \"38\", \"support\": 123, \"support_share\": 0.01118995633187773, \"support_rank\": 5}, {\"value_label\": \"16\", \"support\": 120, \"support_share\": 0.010917030567685589, \"support_rank\": 6}, {\"value_label\": \"19\", \"support\": 120, \"support_share\": 0.010917030567685589, \"support_rank\": 7}, {\"value_label\": \"15\", \"support\": 117, \"support_share\": 0.01064410480349345, \"support_rank\": 8}, {\"value_label\": \"23\", \"support\": 117, \"support_share\": 0.01064410480349345, \"support_rank\": 9}, {\"value_label\": \"25\", \"support\": 117, \"support_share\": 0.01064410480349345, \"support_rank\": 10}, {\"value_label\": \"20\", \"support\": 115, \"support_share\": 0.010462154294032024, \"support_rank\": 11}, {\"value_label\": \"30\", \"support\": 115, \"support_share\": 0.010462154294032024, \"support_rank\": 12}, {\"value_label\": \"31\", \"support\": 114, \"support_share\": 0.01037117903930131, \"support_rank\": 13}, {\"value_label\": \"13\", \"support\": 113, \"support_share\": 0.010280203784570598, \"support_rank\": 14}, {\"value_label\": \"27\", \"support\": 112, \"support_share\": 0.010189228529839884, \"support_rank\": 15}, {\"value_label\": \"29\", \"support\": 112, \"support_share\": 0.010189228529839884, \"support_rank\": 16}, {\"value_label\": \"42\", \"support\": 111, \"support_share\": 0.01009825327510917, \"support_rank\": 17}, {\"value_label\": \"24\", \"support\": 110, \"support_share\": 0.010007278020378457, \"support_rank\": 18}, {\"value_label\": \"14\", \"support\": 109, \"support_share\": 0.009916302765647743, \"support_rank\": 19}, {\"value_label\": \"35\", \"support\": 109, \"support_share\": 0.009916302765647743, \"support_rank\": 20}, {\"value_label\": \"21\", \"support\": 108, \"support_share\": 0.009825327510917031, \"support_rank\": 21}, {\"value_label\": \"33\", \"support\": 108, \"support_share\": 0.009825327510917031, \"support_rank\": 22}, {\"value_label\": \"12\", \"support\": 105, \"support_share\": 0.00955240174672489, \"support_rank\": 23}, {\"value_label\": \"36\", \"support\": 103, \"support_share\": 0.009370451237263464, \"support_rank\": 24}, {\"value_label\": \"22\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 25}, {\"value_label\": \"40\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 26}, {\"value_label\": \"17\", \"support\": 101, \"support_share\": 0.009188500727802038, \"support_rank\": 27}, {\"value_label\": \"34\", \"support\": 101, \"support_share\": 0.009188500727802038, \"support_rank\": 28}, {\"value_label\": \"11\", \"support\": 99, \"support_share\": 0.009006550218340612, \"support_rank\": 29}, {\"value_label\": \"44\", \"support\": 95, \"support_share\": 0.008642649199417759, \"support_rank\": 30}, {\"value_label\": \"46\", \"support\": 94, \"support_share\": 0.008551673944687045, \"support_rank\": 31}, {\"value_label\": \"39\", \"support\": 93, \"support_share\": 0.008460698689956333, \"support_rank\": 32}, {\"value_label\": \"7\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 33}, {\"value_label\": \"41\", \"support\": 89, \"support_share\": 0.008096797671033478, \"support_rank\": 34}, {\"value_label\": \"28\", \"support\": 88, \"support_share\": 0.008005822416302766, \"support_rank\": 35}, {\"value_label\": \"45\", \"support\": 88, \"support_share\": 0.008005822416302766, \"support_rank\": 36}, {\"value_label\": \"9\", \"support\": 87, \"support_share\": 0.007914847161572052, \"support_rank\": 37}, {\"value_label\": \"49\", \"support\": 86, \"support_share\": 0.00782387190684134, \"support_rank\": 38}, {\"value_label\": \"55\", \"support\": 86, \"support_share\": 0.00782387190684134, \"support_rank\": 39}, {\"value_label\": \"8\", \"support\": 86, \"support_share\": 0.00782387190684134, \"support_rank\": 40}, {\"value_label\": \"2\", \"support\": 85, \"support_share\": 0.007732896652110626, \"support_rank\": 41}, {\"value_label\": \"37\", \"support\": 85, \"support_share\": 0.007732896652110626, \"support_rank\": 42}, {\"value_label\": \"18\", \"support\": 84, \"support_share\": 0.007641921397379912, \"support_rank\": 43}, {\"value_label\": \"43\", \"support\": 84, \"support_share\": 0.007641921397379912, \"support_rank\": 44}, {\"value_label\": \"48\", \"support\": 82, \"support_share\": 0.007459970887918486, \"support_rank\": 45}, {\"value_label\": \"53\", \"support\": 81, \"support_share\": 0.007368995633187773, \"support_rank\": 46}, {\"value_label\": \"56\", \"support\": 81, \"support_share\": 0.007368995633187773, \"support_rank\": 47}, {\"value_label\": \"4\", \"support\": 79, \"support_share\": 0.007187045123726346, \"support_rank\": 48}, {\"value_label\": \"10\", \"support\": 78, \"support_share\": 0.007096069868995633, \"support_rank\": 49}, {\"value_label\": \"47\", \"support\": 78, \"support_share\": 0.007096069868995633, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f9d0e4f75cdc4e4373e9ee51c89067f9ed4ab69c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.782917+00:00", + "ended_at": "2026-05-19T16:10:15.788093+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_224c71ff82b3fc3e", + "problem_id": "v2p_n9_134d94fea1d09454", + "dataset_id": "n9", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=feature_1.", + "bindings": { + "group_col": "feature_1" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_224c71ff82b3fc3e.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_224c71ff82b3fc3e/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae8f5a389e67713275da1012b47b6cfea3cb53d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"feature_9": "100", "support": 1764, "avg_response": 27.853174603174605}, {"feature_9": "0", "support": 1028, "avg_response": 40.488326848249024}, {"feature_9": "84", "support": 127, "avg_response": 34.99212598425197}, {"feature_9": "88", "support": 124, "avg_response": 36.32258064516129}, {"feature_9": "71", "support": 113, "avg_response": 43.097345132743364}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bf3476d6d8a3cbacbeacc358026f880e68241ed7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n9_24a76703e0bafdaa +-- problem_id: v2p_n9_e394315734e8a730 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "feature_9", + COUNT(*) AS support, + AVG("feature_3") AS avg_response +FROM "n9" +GROUP BY "feature_9" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6eb0bbe50f551c9abd81a3e0010fdd9028eda495 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n9_24a76703e0bafdaa\n-- problem_id: v2p_n9_e394315734e8a730\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"feature_9\",\n COUNT(*) AS support,\n AVG(\"feature_3\") AS avg_response\nFROM \"n9\"\nGROUP BY \"feature_9\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n9_24a76703e0bafdaa\\n-- problem_id: v2p_n9_e394315734e8a730\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"feature_9\\\",\\n COUNT(*) AS support,\\n AVG(\\\"feature_3\\\") AS avg_response\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_9\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"feature_9\", \"support\", \"avg_response\"], \"rows\": [{\"feature_9\": \"100\", \"support\": 1764, \"avg_response\": 27.853174603174605}, {\"feature_9\": \"0\", \"support\": 1028, \"avg_response\": 40.488326848249024}, {\"feature_9\": \"84\", \"support\": 127, \"avg_response\": 34.99212598425197}, {\"feature_9\": \"88\", \"support\": 124, \"avg_response\": 36.32258064516129}, {\"feature_9\": \"71\", \"support\": 113, \"avg_response\": 43.097345132743364}, {\"feature_9\": \"94\", \"support\": 113, \"avg_response\": 40.05309734513274}, {\"feature_9\": \"79\", \"support\": 113, \"avg_response\": 39.83185840707964}, {\"feature_9\": \"41\", \"support\": 109, \"avg_response\": 49.862385321100916}, {\"feature_9\": \"60\", \"support\": 109, \"avg_response\": 46.76146788990825}, {\"feature_9\": \"82\", \"support\": 108, \"avg_response\": 37.31481481481482}, {\"feature_9\": \"85\", \"support\": 106, \"avg_response\": 38.77358490566038}, {\"feature_9\": \"95\", \"support\": 106, \"avg_response\": 37.235849056603776}, {\"feature_9\": \"77\", \"support\": 105, \"avg_response\": 36.93333333333333}, {\"feature_9\": \"42\", \"support\": 103, \"avg_response\": 52.81553398058252}, {\"feature_9\": \"78\", \"support\": 103, \"avg_response\": 38.56310679611651}, {\"feature_9\": \"62\", \"support\": 102, \"avg_response\": 43.94117647058823}, {\"feature_9\": \"70\", \"support\": 102, \"avg_response\": 38.59803921568628}, {\"feature_9\": \"81\", \"support\": 102, \"avg_response\": 38.36274509803921}, {\"feature_9\": \"93\", \"support\": 101, \"avg_response\": 37.32673267326733}, {\"feature_9\": \"86\", \"support\": 101, \"avg_response\": 34.45544554455446}, {\"feature_9\": \"48\", \"support\": 99, \"avg_response\": 49.43434343434343}, {\"feature_9\": \"46\", \"support\": 99, \"avg_response\": 48.94949494949495}, {\"feature_9\": \"47\", \"support\": 98, \"avg_response\": 49.683673469387756}, {\"feature_9\": \"67\", \"support\": 98, \"avg_response\": 43.52040816326531}, {\"feature_9\": \"92\", \"support\": 98, \"avg_response\": 39.724489795918366}, {\"feature_9\": \"38\", \"support\": 97, \"avg_response\": 48.63917525773196}, {\"feature_9\": \"59\", \"support\": 97, \"avg_response\": 48.47422680412371}, {\"feature_9\": \"91\", \"support\": 97, \"avg_response\": 40.55670103092783}, {\"feature_9\": \"58\", \"support\": 96, \"avg_response\": 46.229166666666664}, {\"feature_9\": \"44\", \"support\": 95, \"avg_response\": 50.78947368421053}, {\"feature_9\": \"45\", \"support\": 95, \"avg_response\": 46.50526315789474}, {\"feature_9\": \"83\", \"support\": 95, \"avg_response\": 42.642105263157895}, {\"feature_9\": \"72\", \"support\": 95, \"avg_response\": 38.85263157894737}, {\"feature_9\": \"80\", \"support\": 94, \"avg_response\": 42.01063829787234}, {\"feature_9\": \"87\", \"support\": 94, \"avg_response\": 38.351063829787236}, {\"feature_9\": \"51\", \"support\": 93, \"avg_response\": 50.25806451612903}, {\"feature_9\": \"55\", \"support\": 93, \"avg_response\": 49.43010752688172}, {\"feature_9\": \"24\", \"support\": 91, \"avg_response\": 42.879120879120876}, {\"feature_9\": \"90\", \"support\": 91, \"avg_response\": 40.0}, {\"feature_9\": \"89\", \"support\": 91, \"avg_response\": 31.53846153846154}, {\"feature_9\": \"73\", \"support\": 90, \"avg_response\": 44.4}, {\"feature_9\": \"75\", \"support\": 90, \"avg_response\": 38.144444444444446}, {\"feature_9\": \"37\", \"support\": 88, \"avg_response\": 52.26136363636363}, {\"feature_9\": \"43\", \"support\": 88, \"avg_response\": 48.31818181818182}, {\"feature_9\": \"66\", \"support\": 88, \"avg_response\": 46.34090909090909}, {\"feature_9\": \"96\", \"support\": 88, \"avg_response\": 39.86363636363637}, {\"feature_9\": \"40\", \"support\": 87, \"avg_response\": 52.87356321839081}, {\"feature_9\": \"49\", \"support\": 87, \"avg_response\": 43.724137931034484}, {\"feature_9\": \"61\", \"support\": 86, \"avg_response\": 43.104651162790695}, {\"feature_9\": \"36\", \"support\": 85, \"avg_response\": 54.83529411764706}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9463f85b1078590cb2ff0d7c58dfc4ba342520a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.889960+00:00", + "ended_at": "2026-05-19T16:10:15.895946+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_24a76703e0bafdaa", + "problem_id": "v2p_n9_e394315734e8a730", + "dataset_id": "n9", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=feature_3, key_col=feature_9.", + "bindings": { + "key_col": "feature_9", + "measure_col": "feature_3", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_24a76703e0bafdaa.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_24a76703e0bafdaa/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..754df7097c4649fe545a75c7b8fbc5616846f7a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9568, "bytes_utf8": 9568, "lines": 300, "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": 1961, "bytes_utf8": 1961, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 2721, "reasoning_output_tokens": 2037}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..89904bfd0f78337e8dff742d98fb56d0aaf6b2a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_25b0aadec309ff77", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 2721, + "total_tokens": 17699, + "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": 37699.44, + "sql_execution_elapsed_ms_total": 39.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..efac0d7457136a7cf0e8b33bd21c9f8838902084 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:17.422331+00:00", + "ended_at": "2026-05-19T15:59:55.121799+00:00", + "elapsed_ms": 37699.44, + "prompt_metrics": { + "chars": 9568, + "bytes_utf8": 9568, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2611, + "bytes_utf8": 2611, + "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": 1961, + "bytes_utf8": 1961, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 2721, + "reasoning_output_tokens": 2037 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..edaa02c1b13ca2e4a65b3ab2abe9460be2e71c9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_9, measure_col=feature_14.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_14", + "top_k": 13, + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e02be155e1c2f805ecbe718e61b90c0ffe1e5be4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-82d1-79e2-ab4d-06413ea8271f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_9\\\" AS \\\"feature_9\\\",\\n CAST(\\\"feature_14\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_9\\\"\\n ORDER BY CAST(\\\"feature_14\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_9\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_9\\\" IS NOT NULL\\n AND \\\"feature_14\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"feature_9\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ABS((1.0 + 0.9 * (\\\"cnt\\\" - 1)) - CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)) < 1e-12\\n THEN CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"feature_9\\\", \\\"cnt\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"feature_9\\\" AS \\\"feature_9\\\",\\n p.\\\"pos\\\" AS \\\"pos\\\",\\n p.\\\"lower_rn\\\" AS \\\"lower_rn\\\",\\n p.\\\"upper_rn\\\" AS \\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"feature_9\\\" = p.\\\"feature_9\\\"\\n GROUP BY p.\\\"feature_9\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"feature_9\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, CAST(\\\"feature_9\\\" AS REAL) ASC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the continuous 90th percentile of CAST(\\\"feature_14\\\" AS REAL) within each \\\"feature_9\\\" group using window functions and linear interpolation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":13696,"output_tokens":2721,"reasoning_output_tokens":2037}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..707e426fcae5ad6edd10f7910996731088d9052a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_9\" AS \"feature_9\",\n CAST(\"feature_14\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_9\"\n ORDER BY CAST(\"feature_14\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_9\"\n ) AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_9\" IS NOT NULL\n AND \"feature_14\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"feature_9\",\n \"cnt\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ABS((1.0 + 0.9 * (\"cnt\" - 1)) - CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER)) < 1e-12\n THEN CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n GROUP BY \"feature_9\", \"cnt\"\n),\n\"bounds\" AS (\n SELECT\n p.\"feature_9\" AS \"feature_9\",\n p.\"pos\" AS \"pos\",\n p.\"lower_rn\" AS \"lower_rn\",\n p.\"upper_rn\" AS \"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END) AS \"lower_val\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure\" END) AS \"upper_val\"\n FROM \"params\" AS p\n JOIN \"ordered\" AS o\n ON o.\"feature_9\" = p.\"feature_9\"\n GROUP BY p.\"feature_9\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\n)\nSELECT\n \"feature_9\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC, CAST(\"feature_9\" AS REAL) ASC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the continuous 90th percentile of CAST(\"feature_14\" AS REAL) within each \"feature_9\" group using window functions and linear interpolation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..50bd00a9c9507f6bb42368cb831d3e00bea19c0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_9, measure_col=feature_14. +Result preview: [{"feature_9": "0", "percentile_measure": 100.0}, {"feature_9": "1", "percentile_measure": 100.0}, {"feature_9": "2", "percentile_measure": 100.0}, {"feature_9": "5", "percentile_measure": 100.0}, {"feature_9": "14", "percentile_measure": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..90ed82ab9a91566a595cb168b07cbfe355e39a12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/generated_sql.sql @@ -0,0 +1,63 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_25b0aadec309ff77 +-- problem_id: v2p_n9_e84476588734dd18 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "feature_9" AS "feature_9", + CAST("feature_14" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "feature_9" + ORDER BY CAST("feature_14" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "feature_9" + ) AS "cnt" + FROM "n9" + WHERE "feature_9" IS NOT NULL + AND "feature_14" IS NOT NULL +), +"params" AS ( + SELECT + "feature_9", + "cnt", + (1.0 + 0.9 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CASE + WHEN ABS((1.0 + 0.9 * ("cnt" - 1)) - CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER)) < 1e-12 + THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ordered" + GROUP BY "feature_9", "cnt" +), +"bounds" AS ( + SELECT + p."feature_9" AS "feature_9", + p."pos" AS "pos", + p."lower_rn" AS "lower_rn", + p."upper_rn" AS "upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure" END) AS "lower_val", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure" END) AS "upper_val" + FROM "params" AS p + JOIN "ordered" AS o + ON o."feature_9" = p."feature_9" + GROUP BY p."feature_9", p."pos", p."lower_rn", p."upper_rn" +) +SELECT + "feature_9", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC, CAST("feature_9" AS REAL) ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f3efd920f848df01d3fb0220bd4971cd131013bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/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_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_9\" AS \"feature_9\",\n CAST(\"feature_14\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_9\"\n ORDER BY CAST(\"feature_14\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_9\"\n ) AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_9\" IS NOT NULL\n AND \"feature_14\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"feature_9\",\n \"cnt\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ABS((1.0 + 0.9 * (\"cnt\" - 1)) - CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER)) < 1e-12\n THEN CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n GROUP BY \"feature_9\", \"cnt\"\n),\n\"bounds\" AS (\n SELECT\n p.\"feature_9\" AS \"feature_9\",\n p.\"pos\" AS \"pos\",\n p.\"lower_rn\" AS \"lower_rn\",\n p.\"upper_rn\" AS \"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END) AS \"lower_val\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure\" END) AS \"upper_val\"\n FROM \"params\" AS p\n JOIN \"ordered\" AS o\n ON o.\"feature_9\" = p.\"feature_9\"\n GROUP BY p.\"feature_9\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\n)\nSELECT\n \"feature_9\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC, CAST(\"feature_9\" AS REAL) ASC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_9\\\" AS \\\"feature_9\\\",\\n CAST(\\\"feature_14\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_9\\\"\\n ORDER BY CAST(\\\"feature_14\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_9\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_9\\\" IS NOT NULL\\n AND \\\"feature_14\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"feature_9\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ABS((1.0 + 0.9 * (\\\"cnt\\\" - 1)) - CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)) < 1e-12\\n THEN CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"feature_9\\\", \\\"cnt\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"feature_9\\\" AS \\\"feature_9\\\",\\n p.\\\"pos\\\" AS \\\"pos\\\",\\n p.\\\"lower_rn\\\" AS \\\"lower_rn\\\",\\n p.\\\"upper_rn\\\" AS \\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"feature_9\\\" = p.\\\"feature_9\\\"\\n GROUP BY p.\\\"feature_9\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"feature_9\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, CAST(\\\"feature_9\\\" AS REAL) ASC;\", \"columns\": [\"feature_9\", \"percentile_measure\"], \"rows\": [{\"feature_9\": \"0\", \"percentile_measure\": 100.0}, {\"feature_9\": \"1\", \"percentile_measure\": 100.0}, {\"feature_9\": \"2\", \"percentile_measure\": 100.0}, {\"feature_9\": \"5\", \"percentile_measure\": 100.0}, {\"feature_9\": \"14\", \"percentile_measure\": 100.0}, {\"feature_9\": \"18\", \"percentile_measure\": 100.0}, {\"feature_9\": \"21\", \"percentile_measure\": 100.0}, {\"feature_9\": \"93\", \"percentile_measure\": 100.0}, {\"feature_9\": \"95\", \"percentile_measure\": 100.0}, {\"feature_9\": \"97\", \"percentile_measure\": 100.0}, {\"feature_9\": \"98\", \"percentile_measure\": 100.0}, {\"feature_9\": \"99\", \"percentile_measure\": 100.0}, {\"feature_9\": \"100\", \"percentile_measure\": 100.0}, {\"feature_9\": \"23\", \"percentile_measure\": 99.6}, {\"feature_9\": \"6\", \"percentile_measure\": 99.5}, {\"feature_9\": \"20\", \"percentile_measure\": 99.5}, {\"feature_9\": \"3\", \"percentile_measure\": 99.4}, {\"feature_9\": \"92\", \"percentile_measure\": 99.3}, {\"feature_9\": \"7\", \"percentile_measure\": 99.0}, {\"feature_9\": \"15\", \"percentile_measure\": 99.0}, {\"feature_9\": \"22\", \"percentile_measure\": 99.0}, {\"feature_9\": \"89\", \"percentile_measure\": 99.0}, {\"feature_9\": \"8\", \"percentile_measure\": 98.7}, {\"feature_9\": \"96\", \"percentile_measure\": 98.6}, {\"feature_9\": \"4\", \"percentile_measure\": 98.0}, {\"feature_9\": \"13\", \"percentile_measure\": 98.0}, {\"feature_9\": \"30\", \"percentile_measure\": 98.0}, {\"feature_9\": \"91\", \"percentile_measure\": 98.0}, {\"feature_9\": \"19\", \"percentile_measure\": 97.8}, {\"feature_9\": \"17\", \"percentile_measure\": 97.4}, {\"feature_9\": \"10\", \"percentile_measure\": 96.9}, {\"feature_9\": \"11\", \"percentile_measure\": 96.0}, {\"feature_9\": \"12\", \"percentile_measure\": 96.0}, {\"feature_9\": \"79\", \"percentile_measure\": 96.0}, {\"feature_9\": \"9\", \"percentile_measure\": 95.4}, {\"feature_9\": \"84\", \"percentile_measure\": 94.80000000000001}, {\"feature_9\": \"94\", \"percentile_measure\": 94.39999999999999}, {\"feature_9\": \"27\", \"percentile_measure\": 93.8}, {\"feature_9\": \"76\", \"percentile_measure\": 93.39999999999998}, {\"feature_9\": \"25\", \"percentile_measure\": 93.19999999999999}, {\"feature_9\": \"24\", \"percentile_measure\": 93.0}, {\"feature_9\": \"86\", \"percentile_measure\": 93.0}, {\"feature_9\": \"90\", \"percentile_measure\": 93.0}, {\"feature_9\": \"87\", \"percentile_measure\": 92.7}, {\"feature_9\": \"83\", \"percentile_measure\": 92.40000000000003}, {\"feature_9\": \"82\", \"percentile_measure\": 92.3}, {\"feature_9\": \"88\", \"percentile_measure\": 92.0}, {\"feature_9\": \"78\", \"percentile_measure\": 90.8}, {\"feature_9\": \"80\", \"percentile_measure\": 90.7}, {\"feature_9\": \"77\", \"percentile_measure\": 87.80000000000003}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 39.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9d6cea57b475912bed3e1fddcfdcb278b25e996c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:59:17.421155+00:00", + "ended_at": "2026-05-19T15:59:55.164173+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_25b0aadec309ff77", + "problem_id": "v2p_n9_e84476588734dd18", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "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 Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_9, measure_col=feature_14.", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_14", + "top_k": 13, + "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": 47.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_25b0aadec309ff77.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_25b0aadec309ff77", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 2721, + "total_tokens": 17699, + "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": 37699.44, + "sql_execution_elapsed_ms_total": 39.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29da0c81ad35db55cc6be8509213feaa913fa09f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:55.122626+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 37699.44, "started_at": "2026-05-19T15:59:17.422331+00:00", "ended_at": "2026-05-19T15:59:55.121799+00:00", "prompt_metrics": {"chars": 9568, "bytes_utf8": 9568, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1961, "bytes_utf8": 1961, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 2721, "reasoning_output_tokens": 2037}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_9\\\" AS \\\"feature_9\\\",\\n CAST(\\\"feature_14\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_9\\\"\\n ORDER BY CAST(\\\"feature_14\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_9\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_9\\\" IS NOT NULL\\n AND \\\"feature_14\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"feature_9\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ABS((1.0 + 0.9 * (\\\"cnt\\\" - 1)) - CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)) < 1e-12\\n THEN CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"feature_9\\\", \\\"cnt\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"feature_9\\\" AS \\\"fe"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..139dc35c9241ceb20c94a9167185c970f6963c02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_25b0aadec309ff77", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 2721, + "total_tokens": 17699, + "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": 37699.44, + "sql_execution_elapsed_ms_total": 39.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_25b0aadec309ff77/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..112d09a921b720b6cd049286a7ee0de9f59d4920 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_1. +Result preview: [{"feature_1": "100", "total_measure": 114300.0}, {"feature_1": "86", "total_measure": 5418.0}, {"feature_1": "88", "total_measure": 5280.0}, {"feature_1": "55", "total_measure": 4730.0}, {"feature_1": "38", "total_measure": 4674.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..96959ee2ab4170ad4fc176d45cb8a875fec2b292 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_2727e77385815a8a +-- problem_id: v2p_n9_8a0557d6f0befbd2 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_1", SUM(CAST("feature_1" AS REAL)) AS total_measure +FROM "n9" +GROUP BY "feature_1" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d8a3037c4ff20d3515cc419cf32741243fd44f06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/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_h2o_group_sum\nSELECT \"feature_1\", SUM(CAST(\"feature_1\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_1\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_1\", \"total_measure\"], \"rows\": [{\"feature_1\": \"100\", \"total_measure\": 114300.0}, {\"feature_1\": \"86\", \"total_measure\": 5418.0}, {\"feature_1\": \"88\", \"total_measure\": 5280.0}, {\"feature_1\": \"55\", \"total_measure\": 4730.0}, {\"feature_1\": \"38\", \"total_measure\": 4674.0}, {\"feature_1\": \"42\", \"total_measure\": 4662.0}, {\"feature_1\": \"77\", \"total_measure\": 4543.0}, {\"feature_1\": \"56\", \"total_measure\": 4536.0}, {\"feature_1\": \"32\", \"total_measure\": 4384.0}, {\"feature_1\": \"95\", \"total_measure\": 4370.0}, {\"feature_1\": \"84\", \"total_measure\": 4368.0}, {\"feature_1\": \"97\", \"total_measure\": 4365.0}, {\"feature_1\": \"46\", \"total_measure\": 4324.0}, {\"feature_1\": \"53\", \"total_measure\": 4293.0}, {\"feature_1\": \"72\", \"total_measure\": 4248.0}, {\"feature_1\": \"80\", \"total_measure\": 4240.0}, {\"feature_1\": \"49\", \"total_measure\": 4214.0}, {\"feature_1\": \"78\", \"total_measure\": 4212.0}, {\"feature_1\": \"44\", \"total_measure\": 4180.0}, {\"feature_1\": \"70\", \"total_measure\": 4130.0}, {\"feature_1\": \"54\", \"total_measure\": 4104.0}, {\"feature_1\": \"63\", \"total_measure\": 4095.0}, {\"feature_1\": \"93\", \"total_measure\": 4092.0}, {\"feature_1\": \"40\", \"total_measure\": 4080.0}, {\"feature_1\": \"81\", \"total_measure\": 4050.0}, {\"feature_1\": \"62\", \"total_measure\": 3968.0}, {\"feature_1\": \"90\", \"total_measure\": 3960.0}, {\"feature_1\": \"45\", \"total_measure\": 3960.0}, {\"feature_1\": \"59\", \"total_measure\": 3953.0}, {\"feature_1\": \"76\", \"total_measure\": 3952.0}, {\"feature_1\": \"48\", \"total_measure\": 3936.0}, {\"feature_1\": \"51\", \"total_measure\": 3927.0}, {\"feature_1\": \"69\", \"total_measure\": 3864.0}, {\"feature_1\": \"35\", \"total_measure\": 3815.0}, {\"feature_1\": \"89\", \"total_measure\": 3738.0}, {\"feature_1\": \"60\", \"total_measure\": 3720.0}, {\"feature_1\": \"36\", \"total_measure\": 3708.0}, {\"feature_1\": \"75\", \"total_measure\": 3675.0}, {\"feature_1\": \"47\", \"total_measure\": 3666.0}, {\"feature_1\": \"73\", \"total_measure\": 3650.0}, {\"feature_1\": \"50\", \"total_measure\": 3650.0}, {\"feature_1\": \"41\", \"total_measure\": 3649.0}, {\"feature_1\": \"39\", \"total_measure\": 3627.0}, {\"feature_1\": \"43\", \"total_measure\": 3612.0}, {\"feature_1\": \"52\", \"total_measure\": 3588.0}, {\"feature_1\": \"65\", \"total_measure\": 3575.0}, {\"feature_1\": \"66\", \"total_measure\": 3564.0}, {\"feature_1\": \"33\", \"total_measure\": 3564.0}, {\"feature_1\": \"74\", \"total_measure\": 3552.0}, {\"feature_1\": \"31\", \"total_measure\": 3534.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ce7cc8fafa7ef3d7df5faa52fdb85b4d511f7131 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:28:18.229484+00:00", + "ended_at": "2026-05-19T15:28:29.097646+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_2727e77385815a8a", + "problem_id": "v2p_n9_8a0557d6f0befbd2", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_1.", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_1", + "top_k": 10, + "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": 65.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_2727e77385815a8a.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2727e77385815a8a", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 0, + "output_tokens": 339, + "total_tokens": 15279, + "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": 10858.73, + "sql_execution_elapsed_ms_total": 4.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..21b5fe26c1715c7c9a413048f9d30087d318408d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:29.090765+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10858.73, "started_at": "2026-05-19T15:28:18.231058+00:00", "ended_at": "2026-05-19T15:28:29.089825+00:00", "prompt_metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 0, "output_tokens": 339, "reasoning_output_tokens": 239}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the requested Grouped Numeric Sum template with group_col and measure_col both bound to \\\"feature_1\\\". CAST is included because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ff453f0ef1101e93b9e3c39361a9cac140a84a2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2727e77385815a8a", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 0, + "output_tokens": 339, + "total_tokens": 15279, + "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": 10858.73, + "sql_execution_elapsed_ms_total": 4.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2727e77385815a8a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7c65cdc0213284025d77de1ddfe7374f02ce8a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "100", "support": 3115, "support_share": 0.2833879184861718, "support_rank": 1}, {"value_label": "90", "support": 261, "support_share": 0.023744541484716157, "support_rank": 2}, {"value_label": "91", "support": 259, "support_share": 0.02356259097525473, "support_rank": 3}, {"value_label": "88", "support": 254, "support_share": 0.023107714701601164, "support_rank": 4}, {"value_label": "96", "support": 247, "support_share": 0.02247088791848617, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a161bc627dee381bd90e4cbe50ac24e2ff397047 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n9_2a42db73da155156 +-- problem_id: v2p_n9_9ee2c1440008eb6e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_2" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_2" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8e65d7009413963b6b61ded17b5f490ed7a591df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n9_2a42db73da155156\n-- problem_id: v2p_n9_9ee2c1440008eb6e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_2\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_2\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n9_2a42db73da155156\\n-- problem_id: v2p_n9_9ee2c1440008eb6e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_2\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_2\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"100\", \"support\": 3115, \"support_share\": 0.2833879184861718, \"support_rank\": 1}, {\"value_label\": \"90\", \"support\": 261, \"support_share\": 0.023744541484716157, \"support_rank\": 2}, {\"value_label\": \"91\", \"support\": 259, \"support_share\": 0.02356259097525473, \"support_rank\": 3}, {\"value_label\": \"88\", \"support\": 254, \"support_share\": 0.023107714701601164, \"support_rank\": 4}, {\"value_label\": \"96\", \"support\": 247, \"support_share\": 0.02247088791848617, \"support_rank\": 5}, {\"value_label\": \"85\", \"support\": 245, \"support_share\": 0.022288937409024746, \"support_rank\": 6}, {\"value_label\": \"93\", \"support\": 245, \"support_share\": 0.022288937409024746, \"support_rank\": 7}, {\"value_label\": \"89\", \"support\": 244, \"support_share\": 0.02219796215429403, \"support_rank\": 8}, {\"value_label\": \"94\", \"support\": 242, \"support_share\": 0.022016011644832606, \"support_rank\": 9}, {\"value_label\": \"82\", \"support\": 236, \"support_share\": 0.021470160116448325, \"support_rank\": 10}, {\"value_label\": \"92\", \"support\": 235, \"support_share\": 0.021379184861717613, \"support_rank\": 11}, {\"value_label\": \"95\", \"support\": 234, \"support_share\": 0.0212882096069869, \"support_rank\": 12}, {\"value_label\": \"86\", \"support\": 232, \"support_share\": 0.021106259097525473, \"support_rank\": 13}, {\"value_label\": \"87\", \"support\": 221, \"support_share\": 0.020105531295487627, \"support_rank\": 14}, {\"value_label\": \"97\", \"support\": 217, \"support_share\": 0.019741630276564774, \"support_rank\": 15}, {\"value_label\": \"81\", \"support\": 216, \"support_share\": 0.019650655021834062, \"support_rank\": 16}, {\"value_label\": \"83\", \"support\": 213, \"support_share\": 0.01937772925764192, \"support_rank\": 17}, {\"value_label\": \"84\", \"support\": 205, \"support_share\": 0.018649927219796216, \"support_rank\": 18}, {\"value_label\": \"98\", \"support\": 203, \"support_share\": 0.018467976710334788, \"support_rank\": 19}, {\"value_label\": \"78\", \"support\": 200, \"support_share\": 0.018195050946142648, \"support_rank\": 20}, {\"value_label\": \"80\", \"support\": 200, \"support_share\": 0.018195050946142648, \"support_rank\": 21}, {\"value_label\": \"77\", \"support\": 175, \"support_share\": 0.01592066957787482, \"support_rank\": 22}, {\"value_label\": \"76\", \"support\": 172, \"support_share\": 0.01564774381368268, \"support_rank\": 23}, {\"value_label\": \"99\", \"support\": 172, \"support_share\": 0.01564774381368268, \"support_rank\": 24}, {\"value_label\": \"79\", \"support\": 167, \"support_share\": 0.015192867540029112, \"support_rank\": 25}, {\"value_label\": \"73\", \"support\": 163, \"support_share\": 0.01482896652110626, \"support_rank\": 26}, {\"value_label\": \"75\", \"support\": 161, \"support_share\": 0.014647016011644833, \"support_rank\": 27}, {\"value_label\": \"74\", \"support\": 140, \"support_share\": 0.012736535662299854, \"support_rank\": 28}, {\"value_label\": \"71\", \"support\": 134, \"support_share\": 0.012190684133915575, \"support_rank\": 29}, {\"value_label\": \"72\", \"support\": 134, \"support_share\": 0.012190684133915575, \"support_rank\": 30}, {\"value_label\": \"70\", \"support\": 118, \"support_share\": 0.010735080058224163, \"support_rank\": 31}, {\"value_label\": \"67\", \"support\": 117, \"support_share\": 0.01064410480349345, \"support_rank\": 32}, {\"value_label\": \"69\", \"support\": 115, \"support_share\": 0.010462154294032024, \"support_rank\": 33}, {\"value_label\": \"66\", \"support\": 114, \"support_share\": 0.01037117903930131, \"support_rank\": 34}, {\"value_label\": \"68\", \"support\": 108, \"support_share\": 0.009825327510917031, \"support_rank\": 35}, {\"value_label\": \"65\", \"support\": 101, \"support_share\": 0.009188500727802038, \"support_rank\": 36}, {\"value_label\": \"63\", \"support\": 97, \"support_share\": 0.008824599708879185, \"support_rank\": 37}, {\"value_label\": \"64\", \"support\": 97, \"support_share\": 0.008824599708879185, \"support_rank\": 38}, {\"value_label\": \"61\", \"support\": 69, \"support_share\": 0.006277292576419214, \"support_rank\": 39}, {\"value_label\": \"62\", \"support\": 69, \"support_share\": 0.006277292576419214, \"support_rank\": 40}, {\"value_label\": \"60\", \"support\": 61, \"support_share\": 0.005549490538573508, \"support_rank\": 41}, {\"value_label\": \"55\", \"support\": 55, \"support_share\": 0.005003639010189229, \"support_rank\": 42}, {\"value_label\": \"59\", \"support\": 52, \"support_share\": 0.004730713245997089, \"support_rank\": 43}, {\"value_label\": \"58\", \"support\": 46, \"support_share\": 0.004184861717612809, \"support_rank\": 44}, {\"value_label\": \"57\", \"support\": 44, \"support_share\": 0.004002911208151383, \"support_rank\": 45}, {\"value_label\": \"54\", \"support\": 43, \"support_share\": 0.00391193595342067, \"support_rank\": 46}, {\"value_label\": \"56\", \"support\": 42, \"support_share\": 0.003820960698689956, \"support_rank\": 47}, {\"value_label\": \"53\", \"support\": 35, \"support_share\": 0.0031841339155749635, \"support_rank\": 48}, {\"value_label\": \"52\", \"support\": 34, \"support_share\": 0.0030931586608442503, \"support_rank\": 49}, {\"value_label\": \"51\", \"support\": 28, \"support_share\": 0.002547307132459971, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c3276cc9f595d5503e2db74df4811f6407b8aec0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.788536+00:00", + "ended_at": "2026-05-19T16:10:15.793468+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_2a42db73da155156", + "problem_id": "v2p_n9_9ee2c1440008eb6e", + "dataset_id": "n9", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=feature_2.", + "bindings": { + "group_col": "feature_2" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_2a42db73da155156.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2a42db73da155156/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2317cec1440e092b7c5b00a9449e219a07119c99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_7, measure_col=feature_11. +Result preview: [{"feature_7": "0", "group_value": 84550.0}, {"feature_7": "100", "group_value": 52033.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d99d5fc3891ca57f9946a841736c83dfa744428a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_2aff9828b186d1e8 +-- problem_id: v2p_n9_ff0e3bce9e2b88ce +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "feature_7" AS "feature_7", + SUM(CAST("feature_11" AS REAL)) AS group_value + FROM "n9" + GROUP BY "feature_7" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."feature_7", + g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..367c95899ffbcdd97960672fd265efe653e4fc8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/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_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"feature_7\" AS \"feature_7\",\n SUM(CAST(\"feature_11\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_7\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"feature_7\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"feature_7\\\" AS \\\"feature_7\\\",\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_7\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"feature_7\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"feature_7\", \"group_value\"], \"rows\": [{\"feature_7\": \"0\", \"group_value\": 84550.0}, {\"feature_7\": \"100\", \"group_value\": 52033.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 17.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b23fe733e8e3d74527d4948e522ee48a1acd638c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:47:18.010701+00:00", + "ended_at": "2026-05-19T15:47:30.070329+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_2aff9828b186d1e8", + "problem_id": "v2p_n9_ff0e3bce9e2b88ce", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_7, measure_col=feature_11.", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_11", + "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": 89.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_2aff9828b186d1e8.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2aff9828b186d1e8", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 619, + "total_tokens": 15697, + "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": 12034.29, + "sql_execution_elapsed_ms_total": 17.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c1ae4471047f7ce02380ca30cfbeabba974fd6ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:30.049624+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12034.29, "started_at": "2026-05-19T15:47:18.012586+00:00", "ended_at": "2026-05-19T15:47:30.046943+00:00", "prompt_metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 690, "bytes_utf8": 690, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 619, "reasoning_output_tokens": 423}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"feature_7\\\" AS \\\"feature_7\\\",\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_7\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"feature_7\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_7\\\", measure_col=\\\"feature_11\\\", and fraction_threshold=0.05. \\\"feature_11\\\" is cast to REAL because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a1bfbebad6200202d5cef297694c49825d954788 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2aff9828b186d1e8", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 619, + "total_tokens": 15697, + "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": 12034.29, + "sql_execution_elapsed_ms_total": 17.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2aff9828b186d1e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4b4e1dae4612d08d4421a749b2a5b752c52b770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_8, measure_col=feature_12. +Result preview: [{"feature_8": "0", "group_value": 101445.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ff4a56e5e7adf67282c990a6178b0bce7561b47c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_2b9fdf6c69110044 +-- problem_id: v2p_n9_8a470b367eca46d6 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "feature_8", + SUM(CAST("feature_12" AS REAL)) AS "group_value" + FROM "n9" + GROUP BY "feature_8" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."feature_8", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95f22ed63bb7d76b834a493bfba7d5b4b9b6e3ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/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_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_8\",\n SUM(CAST(\"feature_12\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_8\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_8\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_8\\\",\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_8\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"feature_8\", \"group_value\"], \"rows\": [{\"feature_8\": \"0\", \"group_value\": 101445.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..452354b7687ee16bda6d501d13a0fb46afcc6ca2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:47:30.071647+00:00", + "ended_at": "2026-05-19T15:47:42.762775+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_2b9fdf6c69110044", + "problem_id": "v2p_n9_8a470b367eca46d6", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_8, measure_col=feature_12.", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_12", + "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": 55.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_2b9fdf6c69110044.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2b9fdf6c69110044", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 621, + "total_tokens": 15699, + "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": 12673.76, + "sql_execution_elapsed_ms_total": 10.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4723cf096696ace93223c0197030c1bf3654263f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:42.749767+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12673.76, "started_at": "2026-05-19T15:47:30.074403+00:00", "ended_at": "2026-05-19T15:47:42.748224+00:00", "prompt_metrics": {"chars": 9946, "bytes_utf8": 9946, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 735, "bytes_utf8": 735, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 621, "reasoning_output_tokens": 406}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_8\\\",\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_8\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"feature_8\\\" and measure_col=\\\"feature_12\\\". CAST(\\\"feature_12\\\" AS REAL) is used because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..23147eb1d3c11c7d0b32f5a6f2e138941f505d6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2b9fdf6c69110044", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 621, + "total_tokens": 15699, + "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": 12673.76, + "sql_execution_elapsed_ms_total": 10.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2b9fdf6c69110044/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dc1ab9193abbc25f39b9054b882641668af7d503 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:09:32.310922+00:00", + "ended_at": "2026-05-19T16:09:39.893502+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_2cc73344b8a530e0", + "problem_id": "v2p_n9_d8634056a1734eda", + "dataset_id": "n9", + "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=feature_3, measure_col=feature_11.", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_11", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 97.0, + "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=1/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eca7979bcdd6e9654b3d1e84aeca9b5f899c3d59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2cc73344b8a530e0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:35.660601+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3346.52, "started_at": "2026-05-19T16:09:32.313179+00:00", "ended_at": "2026-05-19T16:09:35.659721+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-e4ac-7043-8cc9-f86fdaa5fc3a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:39.893405+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3230.99, "started_at": "2026-05-19T16:09:36.661528+00:00", "ended_at": "2026-05-19T16:09:39.892564+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-f5a5-77a2-8526-1f570ad3bfd6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..416731fada4c1ddc74dd925e5d5afa3a2a1cb3f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_14, condition_col=class. +Result preview: [{"feature_14": "1", "condition_rate": 0.4268292682926829}, {"feature_14": "5", "condition_rate": 0.41509433962264153}, {"feature_14": "7", "condition_rate": 0.40875912408759124}, {"feature_14": "11", "condition_rate": 0.3898305084745763}, {"feature_14": "9", "condition_rate": 0.37623762376237624}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f8e0c76c7052a585a0734aaa49f8f95c3e03201 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_2ddfcbc7fbc591ce +-- problem_id: v2p_n9_4890d40ecfa213bf +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_14", + AVG(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS condition_rate +FROM "n9" +GROUP BY "feature_14" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67489ad38ba9188e0db41707e6c65b367283e63a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_14\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_14\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_14\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"feature_14\", \"condition_rate\"], \"rows\": [{\"feature_14\": \"1\", \"condition_rate\": 0.4268292682926829}, {\"feature_14\": \"5\", \"condition_rate\": 0.41509433962264153}, {\"feature_14\": \"7\", \"condition_rate\": 0.40875912408759124}, {\"feature_14\": \"11\", \"condition_rate\": 0.3898305084745763}, {\"feature_14\": \"9\", \"condition_rate\": 0.37623762376237624}, {\"feature_14\": \"3\", \"condition_rate\": 0.37037037037037035}, {\"feature_14\": \"4\", \"condition_rate\": 0.36318407960199006}, {\"feature_14\": \"10\", \"condition_rate\": 0.35365853658536583}, {\"feature_14\": \"8\", \"condition_rate\": 0.3508771929824561}, {\"feature_14\": \"6\", \"condition_rate\": 0.3472222222222222}, {\"feature_14\": \"2\", \"condition_rate\": 0.33476394849785407}, {\"feature_14\": \"13\", \"condition_rate\": 0.2948717948717949}, {\"feature_14\": \"12\", \"condition_rate\": 0.265625}, {\"feature_14\": \"14\", \"condition_rate\": 0.21}, {\"feature_14\": \"19\", \"condition_rate\": 0.2}, {\"feature_14\": \"0\", \"condition_rate\": 0.19931662870159453}, {\"feature_14\": \"17\", \"condition_rate\": 0.1724137931034483}, {\"feature_14\": \"15\", \"condition_rate\": 0.14606741573033707}, {\"feature_14\": \"18\", \"condition_rate\": 0.12631578947368421}, {\"feature_14\": \"16\", \"condition_rate\": 0.12359550561797752}, {\"feature_14\": \"20\", \"condition_rate\": 0.072992700729927}, {\"feature_14\": \"21\", \"condition_rate\": 0.06611570247933884}, {\"feature_14\": \"23\", \"condition_rate\": 0.037037037037037035}, {\"feature_14\": \"22\", \"condition_rate\": 0.03225806451612903}, {\"feature_14\": \"24\", \"condition_rate\": 0.030303030303030304}, {\"feature_14\": \"27\", \"condition_rate\": 0.01485148514851485}, {\"feature_14\": \"25\", \"condition_rate\": 0.006802721088435374}, {\"feature_14\": \"35\", \"condition_rate\": 0.0064516129032258064}, {\"feature_14\": \"31\", \"condition_rate\": 0.005434782608695652}, {\"feature_14\": \"29\", \"condition_rate\": 0.005376344086021506}, {\"feature_14\": \"28\", \"condition_rate\": 0.005025125628140704}, {\"feature_14\": \"99\", \"condition_rate\": 0.0}, {\"feature_14\": \"98\", \"condition_rate\": 0.0}, {\"feature_14\": \"97\", \"condition_rate\": 0.0}, {\"feature_14\": \"96\", \"condition_rate\": 0.0}, {\"feature_14\": \"95\", \"condition_rate\": 0.0}, {\"feature_14\": \"94\", \"condition_rate\": 0.0}, {\"feature_14\": \"93\", \"condition_rate\": 0.0}, {\"feature_14\": \"92\", \"condition_rate\": 0.0}, {\"feature_14\": \"91\", \"condition_rate\": 0.0}, {\"feature_14\": \"90\", \"condition_rate\": 0.0}, {\"feature_14\": \"89\", \"condition_rate\": 0.0}, {\"feature_14\": \"88\", \"condition_rate\": 0.0}, {\"feature_14\": \"87\", \"condition_rate\": 0.0}, {\"feature_14\": \"86\", \"condition_rate\": 0.0}, {\"feature_14\": \"85\", \"condition_rate\": 0.0}, {\"feature_14\": \"84\", \"condition_rate\": 0.0}, {\"feature_14\": \"83\", \"condition_rate\": 0.0}, {\"feature_14\": \"82\", \"condition_rate\": 0.0}, {\"feature_14\": \"81\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e72fce62f39c27ec3ca9748053b84965552eb637 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:01:35.820777+00:00", + "ended_at": "2026-05-19T16:01:48.538290+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_2ddfcbc7fbc591ce", + "problem_id": "v2p_n9_4890d40ecfa213bf", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_14, condition_col=class.", + "bindings": { + "group_col": "feature_14", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 58.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_2ddfcbc7fbc591ce.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2ddfcbc7fbc591ce", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 351, + "total_tokens": 15349, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11706.05, + "sql_execution_elapsed_ms_total": 5.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..edb549902a71e527004eaa46f802541feaaee3ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:38.751717+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2928.96, "started_at": "2026-05-19T16:01:35.822081+00:00", "ended_at": "2026-05-19T16:01:38.751061+00:00", "prompt_metrics": {"chars": 9633, "bytes_utf8": 9633, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-9f6f-7e11-8b15-74a58b42e37a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:01:48.531368+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8777.09, "started_at": "2026-05-19T16:01:39.753498+00:00", "ended_at": "2026-05-19T16:01:48.530627+00:00", "prompt_metrics": {"chars": 9633, "bytes_utf8": 9633, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 402, "bytes_utf8": 402, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14998, "cached_input_tokens": 12032, "output_tokens": 351, "reasoning_output_tokens": 240}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_14\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Implements the Grouped Condition Rate template with group_col=\\\"feature_14\\\" and condition_col=\\\"class\\\", measuring the within-group proportion of rows where class = '2'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9144ce5219d4aa9d767dbd894cd4bbb3b2d2f2ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_2ddfcbc7fbc591ce", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 351, + "total_tokens": 15349, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11706.05, + "sql_execution_elapsed_ms_total": 5.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2ddfcbc7fbc591ce/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6e24bcb4deb1c369322eb040c33d35a0b3bb1a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"feature_15": "100", "support": 2988, "avg_response": 89.31626506024097}, {"feature_15": "0", "support": 2917, "avg_response": 87.13095646211862}, {"feature_15": "7", "support": 96, "avg_response": 73.55208333333333}, {"feature_15": "8", "support": 89, "avg_response": 81.25842696629213}, {"feature_15": "5", "support": 86, "avg_response": 74.55813953488372}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b1c6ce623a7736ad1a6e22638e8959a62e164684 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n9_2eb311778966c44b +-- problem_id: v2p_n9_0dade8db54cf6323 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "feature_15", + COUNT(*) AS support, + AVG("feature_4") AS avg_response +FROM "n9" +GROUP BY "feature_15" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a9869a772385c0413dccc559e17f8c5e08eb54d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n9_2eb311778966c44b\n-- problem_id: v2p_n9_0dade8db54cf6323\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"feature_15\",\n COUNT(*) AS support,\n AVG(\"feature_4\") AS avg_response\nFROM \"n9\"\nGROUP BY \"feature_15\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n9_2eb311778966c44b\\n-- problem_id: v2p_n9_0dade8db54cf6323\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"feature_15\\\",\\n COUNT(*) AS support,\\n AVG(\\\"feature_4\\\") AS avg_response\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"feature_15\", \"support\", \"avg_response\"], \"rows\": [{\"feature_15\": \"100\", \"support\": 2988, \"avg_response\": 89.31626506024097}, {\"feature_15\": \"0\", \"support\": 2917, \"avg_response\": 87.13095646211862}, {\"feature_15\": \"7\", \"support\": 96, \"avg_response\": 73.55208333333333}, {\"feature_15\": \"8\", \"support\": 89, \"avg_response\": 81.25842696629213}, {\"feature_15\": \"5\", \"support\": 86, \"avg_response\": 74.55813953488372}, {\"feature_15\": \"9\", \"support\": 86, \"avg_response\": 73.5}, {\"feature_15\": \"6\", \"support\": 83, \"avg_response\": 80.37349397590361}, {\"feature_15\": \"16\", \"support\": 82, \"avg_response\": 73.02439024390245}, {\"feature_15\": \"10\", \"support\": 81, \"avg_response\": 75.04938271604938}, {\"feature_15\": \"19\", \"support\": 77, \"avg_response\": 77.9090909090909}, {\"feature_15\": \"11\", \"support\": 77, \"avg_response\": 75.18181818181819}, {\"feature_15\": \"3\", \"support\": 74, \"avg_response\": 79.1891891891892}, {\"feature_15\": \"15\", \"support\": 73, \"avg_response\": 75.8082191780822}, {\"feature_15\": \"12\", \"support\": 73, \"avg_response\": 73.15068493150685}, {\"feature_15\": \"24\", \"support\": 71, \"avg_response\": 76.67605633802818}, {\"feature_15\": \"29\", \"support\": 70, \"avg_response\": 77.08571428571429}, {\"feature_15\": \"21\", \"support\": 70, \"avg_response\": 73.92857142857143}, {\"feature_15\": \"14\", \"support\": 70, \"avg_response\": 71.71428571428571}, {\"feature_15\": \"22\", \"support\": 69, \"avg_response\": 79.91304347826087}, {\"feature_15\": \"18\", \"support\": 68, \"avg_response\": 76.26470588235294}, {\"feature_15\": \"13\", \"support\": 68, \"avg_response\": 74.19117647058823}, {\"feature_15\": \"88\", \"support\": 66, \"avg_response\": 88.89393939393939}, {\"feature_15\": \"25\", \"support\": 66, \"avg_response\": 73.27272727272727}, {\"feature_15\": \"20\", \"support\": 64, \"avg_response\": 75.6875}, {\"feature_15\": \"2\", \"support\": 63, \"avg_response\": 76.74603174603175}, {\"feature_15\": \"23\", \"support\": 61, \"avg_response\": 74.90163934426229}, {\"feature_15\": \"17\", \"support\": 60, \"avg_response\": 74.76666666666667}, {\"feature_15\": \"39\", \"support\": 60, \"avg_response\": 74.66666666666667}, {\"feature_15\": \"30\", \"support\": 57, \"avg_response\": 77.56140350877193}, {\"feature_15\": \"44\", \"support\": 57, \"avg_response\": 76.84210526315789}, {\"feature_15\": \"36\", \"support\": 57, \"avg_response\": 76.59649122807018}, {\"feature_15\": \"32\", \"support\": 56, \"avg_response\": 79.57142857142857}, {\"feature_15\": \"27\", \"support\": 56, \"avg_response\": 77.42857142857143}, {\"feature_15\": \"33\", \"support\": 56, \"avg_response\": 77.28571428571429}, {\"feature_15\": \"31\", \"support\": 56, \"avg_response\": 76.98214285714286}, {\"feature_15\": \"45\", \"support\": 55, \"avg_response\": 77.10909090909091}, {\"feature_15\": \"1\", \"support\": 55, \"avg_response\": 77.0909090909091}, {\"feature_15\": \"28\", \"support\": 54, \"avg_response\": 77.33333333333333}, {\"feature_15\": \"26\", \"support\": 54, \"avg_response\": 76.38888888888889}, {\"feature_15\": \"84\", \"support\": 53, \"avg_response\": 86.39622641509433}, {\"feature_15\": \"47\", \"support\": 53, \"avg_response\": 79.24528301886792}, {\"feature_15\": \"37\", \"support\": 53, \"avg_response\": 77.81132075471699}, {\"feature_15\": \"34\", \"support\": 53, \"avg_response\": 77.16981132075472}, {\"feature_15\": \"43\", \"support\": 51, \"avg_response\": 73.54901960784314}, {\"feature_15\": \"78\", \"support\": 49, \"avg_response\": 84.04081632653062}, {\"feature_15\": \"69\", \"support\": 49, \"avg_response\": 82.38775510204081}, {\"feature_15\": \"35\", \"support\": 49, \"avg_response\": 76.87755102040816}, {\"feature_15\": \"58\", \"support\": 49, \"avg_response\": 74.53061224489795}, {\"feature_15\": \"71\", \"support\": 48, \"avg_response\": 77.8125}, {\"feature_15\": \"89\", \"support\": 47, \"avg_response\": 89.36170212765957}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4a4a8d7c2da8ca14f6324b2357b1afe4dbedd917 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.922342+00:00", + "ended_at": "2026-05-19T16:10:15.928104+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_2eb311778966c44b", + "problem_id": "v2p_n9_0dade8db54cf6323", + "dataset_id": "n9", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=feature_4, key_col=feature_15.", + "bindings": { + "key_col": "feature_15", + "measure_col": "feature_4", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_2eb311778966c44b.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_2eb311778966c44b/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0a1ca71a2ce6ea8dc4624ec6994d498aa84bc50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2. +Result preview: [{"empirical_cdf_at_threshold": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..02205a62b0917e418174be6450261d5d12275f70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n9_32cf6aceee145bc7 +-- problem_id: v2p_n9_96b36133cbdcb376 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("feature_2" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold +FROM "n9"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f968a1199cd48ced1edc196df95c2892d302ed26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/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_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_2\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"n9\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_2\\\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"n9\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 1.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.14}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cd839393122eb1a008bee3497174cacf7f1ae747 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:04:31.443968+00:00", + "ended_at": "2026-05-19T16:04:39.293008+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_32cf6aceee145bc7", + "problem_id": "v2p_n9_96b36133cbdcb376", + "dataset_id": "n9", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2.", + "bindings": { + "measure_col": "feature_2", + "top_k": 13, + "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": 100.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=113" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_32cf6aceee145bc7.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_32cf6aceee145bc7", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 239, + "total_tokens": 15166, + "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": 7843.56, + "sql_execution_elapsed_ms_total": 2.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f264625aecacf0dbc855276c67728d192318024e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:39.289473+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7843.56, "started_at": "2026-05-19T16:04:31.445169+00:00", "ended_at": "2026-05-19T16:04:39.288752+00:00", "prompt_metrics": {"chars": 9324, "bytes_utf8": 9324, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 12032, "output_tokens": 239, "reasoning_output_tokens": 136}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_2\\\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"n9\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"feature_2\\\" and threshold fixed at 100.0. CAST is used because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..18ed7f404970e6707f8e1fc7340b48a94026970d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_32cf6aceee145bc7", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 239, + "total_tokens": 15166, + "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": 7843.56, + "sql_execution_elapsed_ms_total": 2.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_32cf6aceee145bc7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..207d527981a77384f6cbc176484b2d9210e3a928 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_11, measure_col=feature_12. +Result preview: [{"feature_11": "49", "feature_13": "100", "total_measure": 773.0, "share_within_group": 48.403256105197244}, {"feature_11": "44", "feature_13": "100", "total_measure": 483.0, "share_within_group": 42.331288343558285}, {"feature_11": "50", "feature_13": "100", "total_measure": 636.0, "share_within_group": 41.298701298701296}, {"feature_11": "54", "feature_13": "100", "total_measure": 580.0, "share_within_group": 40.305767894371094}, {"feature_11": "30", "feature_13": "65", "total_measure": 335.0, "share_within_group": 35.33755274261603}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d72e00db6596a205417929321343572d2e036ae8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_3686b40feb657bbe +-- problem_id: v2p_n9_dc29dcc2aa48ba35 +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_11", + "feature_13", + SUM(CAST("feature_12" AS REAL)) AS total_measure, + SUM(CAST("feature_12" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("feature_12" AS REAL))) OVER (PARTITION BY "feature_11"), 0) AS share_within_group +FROM "n9" +GROUP BY "feature_11", "feature_13" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b58d98fc8bcd5f34dcbd4981ab9245122090b94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/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_tpcds_within_group_share\nSELECT\n \"feature_11\",\n \"feature_13\",\n SUM(CAST(\"feature_12\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_12\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"feature_12\" AS REAL))) OVER (PARTITION BY \"feature_11\"), 0) AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_11\", \"feature_13\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_11\\\",\\n \\\"feature_13\\\",\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"feature_12\\\" AS REAL))) OVER (PARTITION BY \\\"feature_11\\\"), 0) AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_11\\\", \\\"feature_13\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"feature_11\", \"feature_13\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_11\": \"49\", \"feature_13\": \"100\", \"total_measure\": 773.0, \"share_within_group\": 48.403256105197244}, {\"feature_11\": \"44\", \"feature_13\": \"100\", \"total_measure\": 483.0, \"share_within_group\": 42.331288343558285}, {\"feature_11\": \"50\", \"feature_13\": \"100\", \"total_measure\": 636.0, \"share_within_group\": 41.298701298701296}, {\"feature_11\": \"54\", \"feature_13\": \"100\", \"total_measure\": 580.0, \"share_within_group\": 40.305767894371094}, {\"feature_11\": \"30\", \"feature_13\": \"65\", \"total_measure\": 335.0, \"share_within_group\": 35.33755274261603}, {\"feature_11\": \"45\", \"feature_13\": \"100\", \"total_measure\": 417.0, \"share_within_group\": 30.043227665706052}, {\"feature_11\": \"53\", \"feature_13\": \"100\", \"total_measure\": 697.0, \"share_within_group\": 28.059581320450885}, {\"feature_11\": \"42\", \"feature_13\": \"100\", \"total_measure\": 328.0, \"share_within_group\": 26.34538152610442}, {\"feature_11\": \"56\", \"feature_13\": \"100\", \"total_measure\": 457.0, \"share_within_group\": 25.05482456140351}, {\"feature_11\": \"51\", \"feature_13\": \"100\", \"total_measure\": 405.0, \"share_within_group\": 24.877149877149876}, {\"feature_11\": \"39\", \"feature_13\": \"100\", \"total_measure\": 180.0, \"share_within_group\": 24.82758620689655}, {\"feature_11\": \"52\", \"feature_13\": \"100\", \"total_measure\": 339.0, \"share_within_group\": 23.029891304347824}, {\"feature_11\": \"46\", \"feature_13\": \"100\", \"total_measure\": 301.0, \"share_within_group\": 21.57706093189964}, {\"feature_11\": \"18\", \"feature_13\": \"58\", \"total_measure\": 438.0, \"share_within_group\": 21.313868613138688}, {\"feature_11\": \"55\", \"feature_13\": \"100\", \"total_measure\": 362.0, \"share_within_group\": 20.626780626780626}, {\"feature_11\": \"65\", \"feature_13\": \"100\", \"total_measure\": 541.0, \"share_within_group\": 20.507960576194087}, {\"feature_11\": \"48\", \"feature_13\": \"100\", \"total_measure\": 287.0, \"share_within_group\": 20.239774330042312}, {\"feature_11\": \"37\", \"feature_13\": \"100\", \"total_measure\": 158.0, \"share_within_group\": 19.602977667493796}, {\"feature_11\": \"60\", \"feature_13\": \"100\", \"total_measure\": 381.0, \"share_within_group\": 18.833415719228867}, {\"feature_11\": \"25\", \"feature_13\": \"100\", \"total_measure\": 160.0, \"share_within_group\": 18.51851851851852}, {\"feature_11\": \"34\", \"feature_13\": \"100\", \"total_measure\": 103.0, \"share_within_group\": 18.133802816901408}, {\"feature_11\": \"57\", \"feature_13\": \"100\", \"total_measure\": 505.0, \"share_within_group\": 18.100358422939067}, {\"feature_11\": \"41\", \"feature_13\": \"100\", \"total_measure\": 127.0, \"share_within_group\": 17.837078651685392}, {\"feature_11\": \"18\", \"feature_13\": \"59\", \"total_measure\": 357.0, \"share_within_group\": 17.37226277372263}, {\"feature_11\": \"27\", \"feature_13\": \"63\", \"total_measure\": 145.0, \"share_within_group\": 17.28247914183552}, {\"feature_11\": \"22\", \"feature_13\": \"61\", \"total_measure\": 188.0, \"share_within_group\": 16.967509025270758}, {\"feature_11\": \"26\", \"feature_13\": \"51\", \"total_measure\": 110.0, \"share_within_group\": 16.176470588235293}, {\"feature_11\": \"24\", \"feature_13\": \"61\", \"total_measure\": 176.0, \"share_within_group\": 15.927601809954751}, {\"feature_11\": \"59\", \"feature_13\": \"100\", \"total_measure\": 384.0, \"share_within_group\": 15.763546798029557}, {\"feature_11\": \"43\", \"feature_13\": \"37\", \"total_measure\": 145.0, \"share_within_group\": 15.524625267665954}, {\"feature_11\": \"55\", \"feature_13\": \"38\", \"total_measure\": 270.0, \"share_within_group\": 15.384615384615385}, {\"feature_11\": \"11\", \"feature_13\": \"55\", \"total_measure\": 365.0, \"share_within_group\": 15.297569153394804}, {\"feature_11\": \"12\", \"feature_13\": \"55\", \"total_measure\": 330.0, \"share_within_group\": 15.15847496554892}, {\"feature_11\": \"10\", \"feature_13\": \"52\", \"total_measure\": 305.0, \"share_within_group\": 14.943655071043606}, {\"feature_11\": \"21\", \"feature_13\": \"60\", \"total_measure\": 241.0, \"share_within_group\": 14.8673658235657}, {\"feature_11\": \"36\", \"feature_13\": \"59\", \"total_measure\": 85.0, \"share_within_group\": 14.80836236933798}, {\"feature_11\": \"26\", \"feature_13\": \"62\", \"total_measure\": 97.0, \"share_within_group\": 14.264705882352942}, {\"feature_11\": \"41\", \"feature_13\": \"0\", \"total_measure\": 100.0, \"share_within_group\": 14.044943820224718}, {\"feature_11\": \"36\", \"feature_13\": \"67\", \"total_measure\": 80.0, \"share_within_group\": 13.937282229965156}, {\"feature_11\": \"4\", \"feature_13\": \"41\", \"total_measure\": 352.0, \"share_within_group\": 13.836477987421384}, {\"feature_11\": \"23\", \"feature_13\": \"60\", \"total_measure\": 138.0, \"share_within_group\": 13.649851632047477}, {\"feature_11\": \"8\", \"feature_13\": \"54\", \"total_measure\": 302.0, \"share_within_group\": 13.386524822695035}, {\"feature_11\": \"58\", \"feature_13\": \"100\", \"total_measure\": 240.0, \"share_within_group\": 13.35559265442404}, {\"feature_11\": \"14\", \"feature_13\": \"57\", \"total_measure\": 186.0, \"share_within_group\": 13.229018492176387}, {\"feature_11\": \"32\", \"feature_13\": \"65\", \"total_measure\": 142.0, \"share_within_group\": 13.18477251624884}, {\"feature_11\": \"6\", \"feature_13\": \"45\", \"total_measure\": 320.0, \"share_within_group\": 13.157894736842104}, {\"feature_11\": \"1\", \"feature_13\": \"44\", \"total_measure\": 176.0, \"share_within_group\": 13.037037037037036}, {\"feature_11\": \"1\", \"feature_13\": \"49\", \"total_measure\": 176.0, \"share_within_group\": 13.037037037037036}, {\"feature_11\": \"29\", \"feature_13\": \"12\", \"total_measure\": 161.0, \"share_within_group\": 12.942122186495176}, {\"feature_11\": \"41\", \"feature_13\": \"45\", \"total_measure\": 92.0, \"share_within_group\": 12.92134831460674}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 43.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e27e7711715d28e21a3ccbfc6d27df4f6946d39a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:36:11.573725+00:00", + "ended_at": "2026-05-19T15:36:26.319640+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_3686b40feb657bbe", + "problem_id": "v2p_n9_dc29dcc2aa48ba35", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_11, measure_col=feature_12.", + "bindings": { + "group_col": "feature_11", + "measure_col": "feature_12", + "item_col": "feature_13", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_3686b40feb657bbe.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_3686b40feb657bbe", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 710, + "total_tokens": 15770, + "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": 14696.89, + "sql_execution_elapsed_ms_total": 43.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9805dc52b1d9e61a4a95b0bb3df61212783250ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:26.273553+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14696.89, "started_at": "2026-05-19T15:36:11.574975+00:00", "ended_at": "2026-05-19T15:36:26.271895+00:00", "prompt_metrics": {"chars": 9807, "bytes_utf8": 9807, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 653, "bytes_utf8": 653, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 12032, "output_tokens": 710, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_11\\\",\\n \\\"feature_13\\\",\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"feature_12\\\" AS REAL))) OVER (PARTITION BY \\\"feature_11\\\"), 0) AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_11\\\", \\\"feature_13\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"feature_11\\\", item_col=\\\"feature_13\\\", and measure_col=\\\"feature_12\\\". Cast the measure from TEXT to REAL for numeric aggregation and used NULLIF to avoid division-by-zero.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..43a5cc8f5c2199a602bed9ae73f5d6da828e034d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_3686b40feb657bbe", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 710, + "total_tokens": 15770, + "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": 14696.89, + "sql_execution_elapsed_ms_total": 43.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3686b40feb657bbe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9abcd75a7086ab3d385922722b1957cadec9e6f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:09:10.183723+00:00", + "ended_at": "2026-05-19T16:09:18.018194+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_36da738fb8b37677", + "problem_id": "v2p_n9_daa1c73b4b0cb310", + "dataset_id": "n9", + "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=feature_1, measure_col=feature_9.", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_9", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.0, + "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=5", + "sql_variant_index=2/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc09061ace1c09ff9a4f46e16100b2a427051fb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_36da738fb8b37677/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:13.536171+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3349.86, "started_at": "2026-05-19T16:09:10.185432+00:00", "ended_at": "2026-05-19T16:09:13.535320+00:00", "prompt_metrics": {"chars": 9474, "bytes_utf8": 9474, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-8e44-7582-bf66-b49e656d3851\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:18.018098+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3480.16, "started_at": "2026-05-19T16:09:14.537089+00:00", "ended_at": "2026-05-19T16:09:18.017276+00:00", "prompt_metrics": {"chars": 9474, "bytes_utf8": 9474, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-9f0f-7ad1-9e27-08c00542ae15\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ff224b0ccc1bcb1f50a02ec6efe5e8c740f2720f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:06:41.552397+00:00", + "ended_at": "2026-05-19T16:06:51.286616+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_3702485d32ab3209", + "problem_id": "v2p_n9_01b830d51c612f3f", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "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 Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_6.", + "bindings": { + "group_col": "feature_6", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 68.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..512cdc6607af00d61650850f4f753737ee65b28f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3702485d32ab3209/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:46.992715+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 5438.36, "started_at": "2026-05-19T16:06:41.553549+00:00", "ended_at": "2026-05-19T16:06:46.991942+00:00", "prompt_metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-49a1-7e02-a9d0-32d1432863cd\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:51.286507+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3292.02, "started_at": "2026-05-19T16:06:47.993585+00:00", "ended_at": "2026-05-19T16:06:51.285638+00:00", "prompt_metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-62cc-7fa3-b013-88f1f8deb8be\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca78767838531b526a4e8557d37da15886401bec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_7. +Result preview: [{"feature_7": "97", "support": 36}, {"feature_7": "1", "support": 38}, {"feature_7": "98", "support": 40}, {"feature_7": "96", "support": 43}, {"feature_7": "21", "support": 48}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8b611de9828ab0ad271c6385127ba5037c98b791 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n9_374881bc7d737e13 +-- problem_id: v2p_n9_f9eb830d199de719 +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_7", + COUNT(*) AS "support" +FROM "n9" +GROUP BY "feature_7" +ORDER BY "support" ASC, "feature_7" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe22c892035c8462be02a03d52a9fea612838819 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_7\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_7\"\nORDER BY \"support\" ASC, \"feature_7\"\nLIMIT 10;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_7\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_7\\\"\\nLIMIT 10;\", \"columns\": [\"feature_7\", \"support\"], \"rows\": [{\"feature_7\": \"97\", \"support\": 36}, {\"feature_7\": \"1\", \"support\": 38}, {\"feature_7\": \"98\", \"support\": 40}, {\"feature_7\": \"96\", \"support\": 43}, {\"feature_7\": \"21\", \"support\": 48}, {\"feature_7\": \"3\", \"support\": 50}, {\"feature_7\": \"16\", \"support\": 51}, {\"feature_7\": \"99\", \"support\": 51}, {\"feature_7\": \"5\", \"support\": 53}, {\"feature_7\": \"9\", \"support\": 53}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a5b3f23a7793a8646da7bf9fb859cf7740f08e43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:06:51.287085+00:00", + "ended_at": "2026-05-19T16:07:04.497726+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_374881bc7d737e13", + "problem_id": "v2p_n9_f9eb830d199de719", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_7.", + "bindings": { + "group_col": "feature_7", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 47.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_374881bc7d737e13.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_374881bc7d737e13", + "api_calls": 0, + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 15298, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12192.09, + "sql_execution_elapsed_ms_total": 10.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b60f5dd392e89b7a46a918186b32855a3a5b056b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:54.667596+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3378.45, "started_at": "2026-05-19T16:06:51.288398+00:00", "ended_at": "2026-05-19T16:06:54.666868+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-6f9b-7e21-b189-3444a6f987cf\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:04.483910+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8813.64, "started_at": "2026-05-19T16:06:55.668665+00:00", "ended_at": "2026-05-19T16:07:04.482350+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 323, "bytes_utf8": 323, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14946, "cached_input_tokens": 12032, "output_tokens": 352, "reasoning_output_tokens": 254}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_7\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_7\\\"\\nLIMIT 10;\",\"notes\":\"Uses the planned Low-Support Group Count template with \\\"feature_7\\\" as the grouping column and LIMIT 10.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..653c0cc8fc034d9da267bb876d40b15aa5178e53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_374881bc7d737e13", + "api_calls": 0, + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 15298, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12192.09, + "sql_execution_elapsed_ms_total": 10.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_374881bc7d737e13/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bf4523f34b777266e61fce961f5dd09ecde69de2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9949, "bytes_utf8": 9949, "lines": 300, "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": 15076, "cached_input_tokens": 13696, "output_tokens": 340, "reasoning_output_tokens": 164}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f6efc5bbe85c78f700c58b5c6ae01a8f93fdc85d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_39cf333bfd031134", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 340, + "total_tokens": 15416, + "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": 12267.41, + "sql_execution_elapsed_ms_total": 9.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eef4111ce82f61995d7ddc102e914f3f39e6ef66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:34.361311+00:00", + "ended_at": "2026-05-19T15:48:46.628750+00:00", + "elapsed_ms": 12267.41, + "prompt_metrics": { + "chars": 9949, + "bytes_utf8": 9949, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1025, + "bytes_utf8": 1025, + "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": 658, + "bytes_utf8": 658, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 340, + "reasoning_output_tokens": 164 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9de934187201df7c48a2ec2068a9244cd81a39d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_10, measure_col=feature_14.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_10", + "measure_col": "feature_14", + "top_k": 17, + "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": 36.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..af73e3b138eccecc120e1e62ec3feb252f7a96c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-b2e4-7e53-9b16-4a91ed8304af"} +{"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 \\\"feature_10\\\", SUM(CAST(\\\"feature_14\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_10\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_10\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required Relative-to-Total Extreme Threshold template with group_col=\\\"feature_10\\\", measure_col=\\\"feature_14\\\", and fraction_threshold=0.05. CAST is applied because the schema stores features as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":13696,"output_tokens":340,"reasoning_output_tokens":164}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..29b9bf1c16721c6aad4f4c1472b5f12ce5ed21c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_10\", SUM(CAST(\"feature_14\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_10\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_10\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the required Relative-to-Total Extreme Threshold template with group_col=\"feature_10\", measure_col=\"feature_14\", and fraction_threshold=0.05. CAST is applied because the schema stores features as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_39cf333bfd031134/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ab59083e07f50d9954c789623814674a94844b61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:09:47.435598+00:00", + "ended_at": "2026-05-19T16:09:54.798642+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_3a4a13c16bb4dc0e", + "problem_id": "v2p_n9_3ea045ac3b9b19a6", + "dataset_id": "n9", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_4, measure_col=feature_12.", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_12", + "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": 55.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d2447802119e1afd54bb5d7e3c55ba57b57ffeed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3a4a13c16bb4dc0e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:50.643370+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3205.47, "started_at": "2026-05-19T16:09:47.437064+00:00", "ended_at": "2026-05-19T16:09:50.642566+00:00", "prompt_metrics": {"chars": 9472, "bytes_utf8": 9472, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-1fa2-7880-88a6-7781d4bb3b34\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:54.798543+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3151.97, "started_at": "2026-05-19T16:09:51.645711+00:00", "ended_at": "2026-05-19T16:09:54.797743+00:00", "prompt_metrics": {"chars": 9472, "bytes_utf8": 9472, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-3020-74d2-9e93-c6a55044c6ab\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef6fd20d516bb55ed0c9a1a079a05613aa5868e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"feature_2": "100", "support": 3115, "avg_response": 81.61861958266452}, {"feature_2": "90", "support": 261, "avg_response": 87.34865900383141}, {"feature_2": "91", "support": 259, "avg_response": 86.39382239382239}, {"feature_2": "88", "support": 254, "avg_response": 88.33858267716535}, {"feature_2": "96", "support": 247, "avg_response": 85.35222672064778}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e6dd58b4ffa7bb0d034704c959047c1c455049e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n9_3aaae6312f854d6a +-- problem_id: v2p_n9_d42b7297acf44215 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "feature_2", + COUNT(*) AS support, + AVG("feature_4") AS avg_response +FROM "n9" +GROUP BY "feature_2" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..776bb9735d610f62f794e6f573e828c10e669d98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n9_3aaae6312f854d6a\n-- problem_id: v2p_n9_d42b7297acf44215\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"feature_2\",\n COUNT(*) AS support,\n AVG(\"feature_4\") AS avg_response\nFROM \"n9\"\nGROUP BY \"feature_2\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n9_3aaae6312f854d6a\\n-- problem_id: v2p_n9_d42b7297acf44215\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"feature_2\\\",\\n COUNT(*) AS support,\\n AVG(\\\"feature_4\\\") AS avg_response\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"feature_2\", \"support\", \"avg_response\"], \"rows\": [{\"feature_2\": \"100\", \"support\": 3115, \"avg_response\": 81.61861958266452}, {\"feature_2\": \"90\", \"support\": 261, \"avg_response\": 87.34865900383141}, {\"feature_2\": \"91\", \"support\": 259, \"avg_response\": 86.39382239382239}, {\"feature_2\": \"88\", \"support\": 254, \"avg_response\": 88.33858267716535}, {\"feature_2\": \"96\", \"support\": 247, \"avg_response\": 85.35222672064778}, {\"feature_2\": \"85\", \"support\": 245, \"avg_response\": 88.60816326530612}, {\"feature_2\": \"93\", \"support\": 245, \"avg_response\": 88.16326530612245}, {\"feature_2\": \"89\", \"support\": 244, \"avg_response\": 86.88524590163935}, {\"feature_2\": \"94\", \"support\": 242, \"avg_response\": 88.21900826446281}, {\"feature_2\": \"82\", \"support\": 236, \"avg_response\": 89.34322033898304}, {\"feature_2\": \"92\", \"support\": 235, \"avg_response\": 87.61702127659575}, {\"feature_2\": \"95\", \"support\": 234, \"avg_response\": 87.14102564102564}, {\"feature_2\": \"86\", \"support\": 232, \"avg_response\": 87.27586206896552}, {\"feature_2\": \"87\", \"support\": 221, \"avg_response\": 87.7420814479638}, {\"feature_2\": \"97\", \"support\": 217, \"avg_response\": 86.32718894009217}, {\"feature_2\": \"81\", \"support\": 216, \"avg_response\": 87.75462962962963}, {\"feature_2\": \"83\", \"support\": 213, \"avg_response\": 86.84976525821597}, {\"feature_2\": \"84\", \"support\": 205, \"avg_response\": 87.30731707317074}, {\"feature_2\": \"98\", \"support\": 203, \"avg_response\": 88.93596059113301}, {\"feature_2\": \"78\", \"support\": 200, \"avg_response\": 90.77}, {\"feature_2\": \"80\", \"support\": 200, \"avg_response\": 89.885}, {\"feature_2\": \"77\", \"support\": 175, \"avg_response\": 86.17142857142858}, {\"feature_2\": \"76\", \"support\": 172, \"avg_response\": 88.08720930232558}, {\"feature_2\": \"99\", \"support\": 172, \"avg_response\": 87.76162790697674}, {\"feature_2\": \"79\", \"support\": 167, \"avg_response\": 88.74850299401197}, {\"feature_2\": \"73\", \"support\": 163, \"avg_response\": 85.05521472392638}, {\"feature_2\": \"75\", \"support\": 161, \"avg_response\": 88.40372670807453}, {\"feature_2\": \"74\", \"support\": 140, \"avg_response\": 87.38571428571429}, {\"feature_2\": \"72\", \"support\": 134, \"avg_response\": 88.1044776119403}, {\"feature_2\": \"71\", \"support\": 134, \"avg_response\": 84.97014925373135}, {\"feature_2\": \"70\", \"support\": 118, \"avg_response\": 84.85593220338983}, {\"feature_2\": \"67\", \"support\": 117, \"avg_response\": 80.24786324786325}, {\"feature_2\": \"69\", \"support\": 115, \"avg_response\": 87.58260869565217}, {\"feature_2\": \"66\", \"support\": 114, \"avg_response\": 88.99122807017544}, {\"feature_2\": \"68\", \"support\": 108, \"avg_response\": 85.96296296296296}, {\"feature_2\": \"65\", \"support\": 101, \"avg_response\": 86.31683168316832}, {\"feature_2\": \"64\", \"support\": 97, \"avg_response\": 85.69072164948453}, {\"feature_2\": \"63\", \"support\": 97, \"avg_response\": 80.08247422680412}, {\"feature_2\": \"62\", \"support\": 69, \"avg_response\": 79.95652173913044}, {\"feature_2\": \"61\", \"support\": 69, \"avg_response\": 76.5072463768116}, {\"feature_2\": \"60\", \"support\": 61, \"avg_response\": 80.75409836065573}, {\"feature_2\": \"55\", \"support\": 55, \"avg_response\": 74.03636363636363}, {\"feature_2\": \"59\", \"support\": 52, \"avg_response\": 75.32692307692308}, {\"feature_2\": \"58\", \"support\": 46, \"avg_response\": 68.47826086956522}, {\"feature_2\": \"57\", \"support\": 44, \"avg_response\": 74.56818181818181}, {\"feature_2\": \"54\", \"support\": 43, \"avg_response\": 71.79069767441861}, {\"feature_2\": \"56\", \"support\": 42, \"avg_response\": 74.23809523809524}, {\"feature_2\": \"53\", \"support\": 35, \"avg_response\": 75.4}, {\"feature_2\": \"52\", \"support\": 34, \"avg_response\": 65.70588235294117}, {\"feature_2\": \"51\", \"support\": 28, \"avg_response\": 68.21428571428571}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..52c35abb8a986334c5e71f7f61c5d4828eba7cb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.858362+00:00", + "ended_at": "2026-05-19T16:10:15.864260+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_3aaae6312f854d6a", + "problem_id": "v2p_n9_d42b7297acf44215", + "dataset_id": "n9", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=feature_4, key_col=feature_2.", + "bindings": { + "key_col": "feature_2", + "measure_col": "feature_4", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_3aaae6312f854d6a.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3aaae6312f854d6a/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e36ae458f1ca33025c1b9d28ec5fb558022503a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_6, measure_col=feature_11. +Result preview: [{"feature_6": "0", "percentile_measure": 100.0}, {"feature_6": "1", "percentile_measure": 100.0}, {"feature_6": "10", "percentile_measure": 100.0}, {"feature_6": "100", "percentile_measure": 100.0}, {"feature_6": "11", "percentile_measure": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dced1ce6c29b00ddf712ec2eaa395c065120889c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/generated_sql.sql @@ -0,0 +1,47 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_3c78db7d546d3bfe +-- problem_id: v2p_n9_a22bd9a0346beff4 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "feature_6", + CAST("feature_11" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "feature_6" + ORDER BY CAST("feature_11" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "feature_6" + ) AS "cnt" + FROM "n9" + WHERE "feature_6" IS NOT NULL + AND "feature_11" IS NOT NULL +), +"target_rows" AS ( + SELECT + "feature_6", + "measure_value", + "rn", + "cnt", + CAST((0.95 * "cnt") AS INTEGER) + + CASE + WHEN (0.95 * "cnt") > CAST((0.95 * "cnt") AS INTEGER) THEN 1 + ELSE 0 + END AS "target_rn" + FROM "ranked" +) +SELECT + "feature_6", + "measure_value" AS "percentile_measure" +FROM "target_rows" +WHERE "rn" = "target_rn" +ORDER BY "percentile_measure" DESC, "feature_6"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d0df9b72cea7bb281f0c64df2ea7a82e1fd357c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/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_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"feature_6\",\n CAST(\"feature_11\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_6\"\n ORDER BY CAST(\"feature_11\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_6\"\n ) AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_6\" IS NOT NULL\n AND \"feature_11\" IS NOT NULL\n),\n\"target_rows\" AS (\n SELECT\n \"feature_6\",\n \"measure_value\",\n \"rn\",\n \"cnt\",\n CAST((0.95 * \"cnt\") AS INTEGER) +\n CASE\n WHEN (0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER) THEN 1\n ELSE 0\n END AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"feature_6\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"target_rows\"\nWHERE \"rn\" = \"target_rn\"\nORDER BY \"percentile_measure\" DESC, \"feature_6\";", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"feature_6\\\",\\n CAST(\\\"feature_11\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_6\\\"\\n ORDER BY CAST(\\\"feature_11\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_6\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_6\\\" IS NOT NULL\\n AND \\\"feature_11\\\" IS NOT NULL\\n),\\n\\\"target_rows\\\" AS (\\n SELECT\\n \\\"feature_6\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST((0.95 * \\\"cnt\\\") AS INTEGER) +\\n CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"feature_6\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"target_rows\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"feature_6\\\";\", \"columns\": [\"feature_6\", \"percentile_measure\"], \"rows\": [{\"feature_6\": \"0\", \"percentile_measure\": 100.0}, {\"feature_6\": \"1\", \"percentile_measure\": 100.0}, {\"feature_6\": \"10\", \"percentile_measure\": 100.0}, {\"feature_6\": \"100\", \"percentile_measure\": 100.0}, {\"feature_6\": \"11\", \"percentile_measure\": 100.0}, {\"feature_6\": \"12\", \"percentile_measure\": 100.0}, {\"feature_6\": \"13\", \"percentile_measure\": 100.0}, {\"feature_6\": \"14\", \"percentile_measure\": 100.0}, {\"feature_6\": \"15\", \"percentile_measure\": 100.0}, {\"feature_6\": \"16\", \"percentile_measure\": 100.0}, {\"feature_6\": \"17\", \"percentile_measure\": 100.0}, {\"feature_6\": \"18\", \"percentile_measure\": 100.0}, {\"feature_6\": \"19\", \"percentile_measure\": 100.0}, {\"feature_6\": \"2\", \"percentile_measure\": 100.0}, {\"feature_6\": \"20\", \"percentile_measure\": 100.0}, {\"feature_6\": \"21\", \"percentile_measure\": 100.0}, {\"feature_6\": \"22\", \"percentile_measure\": 100.0}, {\"feature_6\": \"23\", \"percentile_measure\": 100.0}, {\"feature_6\": \"24\", \"percentile_measure\": 100.0}, {\"feature_6\": \"25\", \"percentile_measure\": 100.0}, {\"feature_6\": \"26\", \"percentile_measure\": 100.0}, {\"feature_6\": \"27\", \"percentile_measure\": 100.0}, {\"feature_6\": \"28\", \"percentile_measure\": 100.0}, {\"feature_6\": \"29\", \"percentile_measure\": 100.0}, {\"feature_6\": \"3\", \"percentile_measure\": 100.0}, {\"feature_6\": \"30\", \"percentile_measure\": 100.0}, {\"feature_6\": \"31\", \"percentile_measure\": 100.0}, {\"feature_6\": \"32\", \"percentile_measure\": 100.0}, {\"feature_6\": \"33\", \"percentile_measure\": 100.0}, {\"feature_6\": \"34\", \"percentile_measure\": 100.0}, {\"feature_6\": \"35\", \"percentile_measure\": 100.0}, {\"feature_6\": \"36\", \"percentile_measure\": 100.0}, {\"feature_6\": \"37\", \"percentile_measure\": 100.0}, {\"feature_6\": \"38\", \"percentile_measure\": 100.0}, {\"feature_6\": \"39\", \"percentile_measure\": 100.0}, {\"feature_6\": \"4\", \"percentile_measure\": 100.0}, {\"feature_6\": \"40\", \"percentile_measure\": 100.0}, {\"feature_6\": \"41\", \"percentile_measure\": 100.0}, {\"feature_6\": \"42\", \"percentile_measure\": 100.0}, {\"feature_6\": \"43\", \"percentile_measure\": 100.0}, {\"feature_6\": \"44\", \"percentile_measure\": 100.0}, {\"feature_6\": \"45\", \"percentile_measure\": 100.0}, {\"feature_6\": \"46\", \"percentile_measure\": 100.0}, {\"feature_6\": \"47\", \"percentile_measure\": 100.0}, {\"feature_6\": \"48\", \"percentile_measure\": 100.0}, {\"feature_6\": \"49\", \"percentile_measure\": 100.0}, {\"feature_6\": \"5\", \"percentile_measure\": 100.0}, {\"feature_6\": \"50\", \"percentile_measure\": 100.0}, {\"feature_6\": \"51\", \"percentile_measure\": 100.0}, {\"feature_6\": \"52\", \"percentile_measure\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 26.25}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ff2c44b49a1d3d6d5f69b7cf4149c098b100e541 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:55:51.835183+00:00", + "ended_at": "2026-05-19T15:56:13.059403+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_3c78db7d546d3bfe", + "problem_id": "v2p_n9_a22bd9a0346beff4", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_6, measure_col=feature_11.", + "bindings": { + "group_col": "feature_6", + "measure_col": "feature_11", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 97.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_3c78db7d546d3bfe.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_3c78db7d546d3bfe", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 1253, + "total_tokens": 16231, + "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": 21194.37, + "sql_execution_elapsed_ms_total": 26.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b3aed50a9d101f28b935e0908682da4848eefee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:13.031551+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 21194.37, "started_at": "2026-05-19T15:55:51.836258+00:00", "ended_at": "2026-05-19T15:56:13.030654+00:00", "prompt_metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1110, "bytes_utf8": 1110, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 1253, "reasoning_output_tokens": 906}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"feature_6\\\",\\n CAST(\\\"feature_11\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_6\\\"\\n ORDER BY CAST(\\\"feature_11\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_6\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_6\\\" IS NOT NULL\\n AND \\\"feature_11\\\" IS NOT NULL\\n),\\n\\\"target_rows\\\" AS (\\n SELECT\\n \\\"feature_6\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST((0.95 * \\\"cnt\\\") AS INTEGER) +\\n CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"feature_6\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"target_rows\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"feature_6\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses the nearest-ran"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5ae5477e15b26a0c027b55c917e2b478ac6be57a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_3c78db7d546d3bfe", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 1253, + "total_tokens": 16231, + "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": 21194.37, + "sql_execution_elapsed_ms_total": 26.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_3c78db7d546d3bfe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..60d42622e868dde402c6d59f11db6fee8369ab1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_3. +Result preview: [{"feature_3": "94", "support": 16}, {"feature_3": "99", "support": 17}, {"feature_3": "91", "support": 20}, {"feature_3": "96", "support": 21}, {"feature_3": "97", "support": 23}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..673f3c1be72608887945696f259df67564c9d47e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n9_4071f2dee311e284 +-- problem_id: v2p_n9_9b771978c46c4bef +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_3", + COUNT(*) AS "support" +FROM "n9" +GROUP BY "feature_3" +ORDER BY "support" ASC, "feature_3" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4c6062ec7fca8b924dc0b9c96e7ebd76ad27a4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/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_tail_low_support_group_count_v2\nSELECT\n \"feature_3\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_3\"\nORDER BY \"support\" ASC, \"feature_3\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_3\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_3\\\"\\nLIMIT 16;\", \"columns\": [\"feature_3\", \"support\"], \"rows\": [{\"feature_3\": \"94\", \"support\": 16}, {\"feature_3\": \"99\", \"support\": 17}, {\"feature_3\": \"91\", \"support\": 20}, {\"feature_3\": \"96\", \"support\": 21}, {\"feature_3\": \"97\", \"support\": 23}, {\"feature_3\": \"98\", \"support\": 24}, {\"feature_3\": \"90\", \"support\": 25}, {\"feature_3\": \"86\", \"support\": 26}, {\"feature_3\": \"93\", \"support\": 26}, {\"feature_3\": \"87\", \"support\": 28}, {\"feature_3\": \"89\", \"support\": 28}, {\"feature_3\": \"92\", \"support\": 28}, {\"feature_3\": \"95\", \"support\": 28}, {\"feature_3\": \"88\", \"support\": 29}, {\"feature_3\": \"83\", \"support\": 32}, {\"feature_3\": \"82\", \"support\": 37}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..19256fd867cd74c1f1ec2d8ee9f1898ad68f8694 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:05:27.925845+00:00", + "ended_at": "2026-05-19T16:05:41.266986+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_4071f2dee311e284", + "problem_id": "v2p_n9_9b771978c46c4bef", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_3.", + "bindings": { + "group_col": "feature_3", + "top_k": 16, + "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": 54.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_4071f2dee311e284.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_4071f2dee311e284", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 617, + "total_tokens": 15565, + "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": 13332.55, + "sql_execution_elapsed_ms_total": 4.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f2ab8ce235bde7025c540673434143720f51944d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:41.260682+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13332.55, "started_at": "2026-05-19T16:05:27.927278+00:00", "ended_at": "2026-05-19T16:05:41.259853+00:00", "prompt_metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 327, "bytes_utf8": 327, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14948, "cached_input_tokens": 13696, "output_tokens": 617, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_3\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_3\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_3\\\"\\nLIMIT 16;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"feature_3\\\" and top_k set to 16.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..00ecdc198404d8db7214b3f470dc739e70e0922c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_4071f2dee311e284", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 617, + "total_tokens": 15565, + "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": 13332.55, + "sql_execution_elapsed_ms_total": 4.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4071f2dee311e284/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba142f75323b9f4d1a87206407870a233873eb4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_9, measure_col=feature_13. +Result preview: [{"feature_9": "100", "group_value": 90457.0}, {"feature_9": "0", "group_value": 64416.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..509a3cd163e8a299445088ce6c245096d11e9cfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_422a1de8e51993a5 +-- problem_id: v2p_n9_10d74a2661374c73 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_9", SUM(CAST("feature_13" AS REAL)) AS group_value + FROM "n9" + GROUP BY "feature_9" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."feature_9", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea992bb03e0f1ffa496f52ad7f40659a9792a9bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/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_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_9\", SUM(CAST(\"feature_13\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_9\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_9\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_9\\\", SUM(CAST(\\\"feature_13\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_9\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"feature_9\", \"group_value\"], \"rows\": [{\"feature_9\": \"100\", \"group_value\": 90457.0}, {\"feature_9\": \"0\", \"group_value\": 64416.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..570905bedb5c86cfe6005240064970a957fe8df7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:48:04.711484+00:00", + "ended_at": "2026-05-19T15:48:22.537621+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_422a1de8e51993a5", + "problem_id": "v2p_n9_10d74a2661374c73", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_9, measure_col=feature_13.", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_13", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 61.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_422a1de8e51993a5.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_422a1de8e51993a5", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 606, + "total_tokens": 15684, + "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": 17816.43, + "sql_execution_elapsed_ms_total": 5.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e4b7930b09758145a00a7932bfc1e2223bc2864 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:22.530329+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17816.43, "started_at": "2026-05-19T15:48:04.713063+00:00", "ended_at": "2026-05-19T15:48:22.529530+00:00", "prompt_metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 646, "bytes_utf8": 646, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 606, "reasoning_output_tokens": 431}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_9\\\", SUM(CAST(\\\"feature_13\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_9\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_9\\\" and measure_col=\\\"feature_13\\\". Casted the measure to REAL because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b57cc501ea6292086b1d289338d583fa3b504993 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_422a1de8e51993a5", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 606, + "total_tokens": 15684, + "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": 17816.43, + "sql_execution_elapsed_ms_total": 5.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_422a1de8e51993a5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f01a4ed82f11f2e83746ae96cd55b0d5d05070e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_3, condition_col=class. +Result preview: [{"feature_3": "62", "condition_ratio": 20.0}, {"feature_3": "57", "condition_ratio": 18.0}, {"feature_3": "67", "condition_ratio": 9.0}, {"feature_3": "54", "condition_ratio": 8.5}, {"feature_3": "66", "condition_ratio": 7.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d6c403f7fedc795524ba49b81f3208deb1f8c5bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n9_43313e963e22625a +-- problem_id: v2p_n9_b1a0e91fe9b25707 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_3", + SUM(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count + FROM "n9" + GROUP BY "feature_3" +) +SELECT "feature_3", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f5718b07a542e645f986c6d843507a60acedd2fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/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_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_3\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_3\"\n)\nSELECT \"feature_3\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_3\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_3\\\"\\n)\\nSELECT \\\"feature_3\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"feature_3\", \"condition_ratio\"], \"rows\": [{\"feature_3\": \"62\", \"condition_ratio\": 20.0}, {\"feature_3\": \"57\", \"condition_ratio\": 18.0}, {\"feature_3\": \"67\", \"condition_ratio\": 9.0}, {\"feature_3\": \"54\", \"condition_ratio\": 8.5}, {\"feature_3\": \"66\", \"condition_ratio\": 7.0}, {\"feature_3\": \"70\", \"condition_ratio\": 6.5}, {\"feature_3\": \"69\", \"condition_ratio\": 6.0}, {\"feature_3\": \"71\", \"condition_ratio\": 5.0}, {\"feature_3\": \"61\", \"condition_ratio\": 4.5}, {\"feature_3\": \"64\", \"condition_ratio\": 4.333333333333333}, {\"feature_3\": \"60\", \"condition_ratio\": 4.2}, {\"feature_3\": \"55\", \"condition_ratio\": 4.0}, {\"feature_3\": \"68\", \"condition_ratio\": 4.0}, {\"feature_3\": \"58\", \"condition_ratio\": 3.6666666666666665}, {\"feature_3\": \"63\", \"condition_ratio\": 3.6666666666666665}, {\"feature_3\": \"72\", \"condition_ratio\": 3.5}, {\"feature_3\": \"75\", \"condition_ratio\": 3.5}, {\"feature_3\": \"79\", \"condition_ratio\": 3.5}, {\"feature_3\": \"53\", \"condition_ratio\": 3.3333333333333335}, {\"feature_3\": \"43\", \"condition_ratio\": 3.142857142857143}, {\"feature_3\": \"59\", \"condition_ratio\": 3.0}, {\"feature_3\": \"65\", \"condition_ratio\": 3.0}, {\"feature_3\": \"74\", \"condition_ratio\": 3.0}, {\"feature_3\": \"86\", \"condition_ratio\": 3.0}, {\"feature_3\": \"44\", \"condition_ratio\": 2.888888888888889}, {\"feature_3\": \"56\", \"condition_ratio\": 2.6}, {\"feature_3\": \"45\", \"condition_ratio\": 2.5714285714285716}, {\"feature_3\": \"46\", \"condition_ratio\": 2.4}, {\"feature_3\": \"35\", \"condition_ratio\": 2.3333333333333335}, {\"feature_3\": \"27\", \"condition_ratio\": 2.1818181818181817}, {\"feature_3\": \"50\", \"condition_ratio\": 2.142857142857143}, {\"feature_3\": \"47\", \"condition_ratio\": 2.090909090909091}, {\"feature_3\": \"52\", \"condition_ratio\": 2.0}, {\"feature_3\": \"76\", \"condition_ratio\": 2.0}, {\"feature_3\": \"80\", \"condition_ratio\": 2.0}, {\"feature_3\": \"88\", \"condition_ratio\": 2.0}, {\"feature_3\": \"40\", \"condition_ratio\": 1.8666666666666667}, {\"feature_3\": \"39\", \"condition_ratio\": 1.8333333333333333}, {\"feature_3\": \"49\", \"condition_ratio\": 1.8}, {\"feature_3\": \"51\", \"condition_ratio\": 1.7777777777777777}, {\"feature_3\": \"34\", \"condition_ratio\": 1.6}, {\"feature_3\": \"38\", \"condition_ratio\": 1.588235294117647}, {\"feature_3\": \"23\", \"condition_ratio\": 1.5454545454545454}, {\"feature_3\": \"25\", \"condition_ratio\": 1.5333333333333334}, {\"feature_3\": \"29\", \"condition_ratio\": 1.5}, {\"feature_3\": \"77\", \"condition_ratio\": 1.5}, {\"feature_3\": \"26\", \"condition_ratio\": 1.4761904761904763}, {\"feature_3\": \"42\", \"condition_ratio\": 1.4615384615384615}, {\"feature_3\": \"48\", \"condition_ratio\": 1.4285714285714286}, {\"feature_3\": \"33\", \"condition_ratio\": 1.3888888888888888}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..61379ecf562232e59b81f591bdbd861a45d793a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:39:40.637412+00:00", + "ended_at": "2026-05-19T15:39:50.529813+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_43313e963e22625a", + "problem_id": "v2p_n9_b1a0e91fe9b25707", + "dataset_id": "n9", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_3, condition_col=class.", + "bindings": { + "group_col": "feature_3", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 11, + "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": 78.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=36" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_43313e963e22625a.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_43313e963e22625a", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 380, + "total_tokens": 15525, + "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": 9882.9, + "sql_execution_elapsed_ms_total": 6.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de783141571f9dc6a203cc2272ab64715ffe2baa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:50.522243+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9882.9, "started_at": "2026-05-19T15:39:40.638602+00:00", "ended_at": "2026-05-19T15:39:50.521523+00:00", "prompt_metrics": {"chars": 10187, "bytes_utf8": 10187, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 639, "bytes_utf8": 639, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 13696, "output_tokens": 380, "reasoning_output_tokens": 201}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_3\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_3\\\"\\n)\\nSELECT \\\"feature_3\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Used the planned grouped ratio template with group_col bound to \\\"feature_3\\\" and condition_col bound to \\\"class\\\", comparing class '2' against class '4'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..13d70db0fb0e662f89fa685a6ba3c8c1026350c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_43313e963e22625a", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 380, + "total_tokens": 15525, + "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": 9882.9, + "sql_execution_elapsed_ms_total": 6.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_43313e963e22625a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4024735638bdf7f300eb44104d93a8a76203a428 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_6. +Result preview: [{"feature_6": "3", "support": 12}, {"feature_6": "4", "support": 17}, {"feature_6": "8", "support": 19}, {"feature_6": "6", "support": 21}, {"feature_6": "12", "support": 23}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..335fb005b9f46c47697da59ac6fd0b6adb064e5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n9_45c63e1f77f22194 +-- problem_id: v2p_n9_720d0f7618ed1cc6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_6", + COUNT(*) AS "support" +FROM "n9" +GROUP BY "feature_6" +ORDER BY "support" ASC, "feature_6" +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..41f25b7c7e6810262d605a17dc663d216c54563a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2.\nSELECT\n \"feature_6\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_6\"\nORDER BY \"support\" ASC, \"feature_6\"\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2.\\nSELECT\\n \\\"feature_6\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_6\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_6\\\"\\nLIMIT 14;\", \"columns\": [\"feature_6\", \"support\"], \"rows\": [{\"feature_6\": \"3\", \"support\": 12}, {\"feature_6\": \"4\", \"support\": 17}, {\"feature_6\": \"8\", \"support\": 19}, {\"feature_6\": \"6\", \"support\": 21}, {\"feature_6\": \"12\", \"support\": 23}, {\"feature_6\": \"9\", \"support\": 23}, {\"feature_6\": \"1\", \"support\": 24}, {\"feature_6\": \"18\", \"support\": 24}, {\"feature_6\": \"5\", \"support\": 24}, {\"feature_6\": \"2\", \"support\": 25}, {\"feature_6\": \"14\", \"support\": 26}, {\"feature_6\": \"7\", \"support\": 26}, {\"feature_6\": \"11\", \"support\": 28}, {\"feature_6\": \"15\", \"support\": 29}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4e34b55230ccccf1b3fceff70bdb8408aff71aac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:06:28.383227+00:00", + "ended_at": "2026-05-19T16:06:41.551800+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_45c63e1f77f22194", + "problem_id": "v2p_n9_720d0f7618ed1cc6", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_6.", + "bindings": { + "group_col": "feature_6", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 68.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_45c63e1f77f22194.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_45c63e1f77f22194", + "api_calls": 0, + "input_tokens": 14949, + "cached_input_tokens": 12032, + "output_tokens": 337, + "total_tokens": 15286, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12158.08, + "sql_execution_elapsed_ms_total": 4.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..96a6193898868c0e8fd63f2032c2cd320a052bcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:31.407651+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3022.53, "started_at": "2026-05-19T16:06:28.384359+00:00", "ended_at": "2026-05-19T16:06:31.406912+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-1620-7d50-8bda-7e924ddf056d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:41.545880+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9135.55, "started_at": "2026-05-19T16:06:32.409560+00:00", "ended_at": "2026-05-19T16:06:41.545152+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 312, "bytes_utf8": 312, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14949, "cached_input_tokens": 12032, "output_tokens": 337, "reasoning_output_tokens": 238}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2.\\nSELECT\\n \\\"feature_6\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_6\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_6\\\"\\nLIMIT 14;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"feature_6\\\" and top_k=14.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..546b6a4b789e6bbeccb199bf64437001d6a809a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_45c63e1f77f22194", + "api_calls": 0, + "input_tokens": 14949, + "cached_input_tokens": 12032, + "output_tokens": 337, + "total_tokens": 15286, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12158.08, + "sql_execution_elapsed_ms_total": 4.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_45c63e1f77f22194/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..00228803794b0a1bdf01b3b829c512a2390fca4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 953, "support_share": 0.08669941775836973, "cumulative_support": 953}, {"value_label": "100", "support": 309, "support_share": 0.028111353711790393, "cumulative_support": 1262}, {"value_label": "35", "support": 185, "support_share": 0.01683042212518195, "cumulative_support": 1447}, {"value_label": "46", "support": 177, "support_share": 0.016102620087336244, "cumulative_support": 1624}, {"value_label": "39", "support": 168, "support_share": 0.015283842794759825, "cumulative_support": 1792}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..35dd33e8818167f3a5d8e9b7a5233ebc1231a1e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n9_4bdc3aac2e64bc3f +-- problem_id: v2p_n9_a4d8cb007601ef11 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_3" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_3" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4222ee59f2ba2628ebea73ebf9c0ef53734f6db0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n9_4bdc3aac2e64bc3f\n-- problem_id: v2p_n9_a4d8cb007601ef11\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_3\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_3\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n9_4bdc3aac2e64bc3f\\n-- problem_id: v2p_n9_a4d8cb007601ef11\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_3\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_3\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 953, \"support_share\": 0.08669941775836973, \"cumulative_support\": 953}, {\"value_label\": \"100\", \"support\": 309, \"support_share\": 0.028111353711790393, \"cumulative_support\": 1262}, {\"value_label\": \"35\", \"support\": 185, \"support_share\": 0.01683042212518195, \"cumulative_support\": 1447}, {\"value_label\": \"46\", \"support\": 177, \"support_share\": 0.016102620087336244, \"cumulative_support\": 1624}, {\"value_label\": \"39\", \"support\": 168, \"support_share\": 0.015283842794759825, \"cumulative_support\": 1792}, {\"value_label\": \"34\", \"support\": 167, \"support_share\": 0.015192867540029112, \"cumulative_support\": 1959}, {\"value_label\": \"40\", \"support\": 167, \"support_share\": 0.015192867540029112, \"cumulative_support\": 2126}, {\"value_label\": \"38\", \"support\": 166, \"support_share\": 0.015101892285298398, \"cumulative_support\": 2292}, {\"value_label\": \"44\", \"support\": 161, \"support_share\": 0.014647016011644833, \"cumulative_support\": 2453}, {\"value_label\": \"43\", \"support\": 159, \"support_share\": 0.014465065502183407, \"cumulative_support\": 2612}, {\"value_label\": \"42\", \"support\": 157, \"support_share\": 0.014283114992721979, \"cumulative_support\": 2769}, {\"value_label\": \"52\", \"support\": 157, \"support_share\": 0.014283114992721979, \"cumulative_support\": 2926}, {\"value_label\": \"53\", \"support\": 157, \"support_share\": 0.014283114992721979, \"cumulative_support\": 3083}, {\"value_label\": \"30\", \"support\": 152, \"support_share\": 0.013828238719068414, \"cumulative_support\": 3235}, {\"value_label\": \"47\", \"support\": 150, \"support_share\": 0.013646288209606987, \"cumulative_support\": 3385}, {\"value_label\": \"57\", \"support\": 150, \"support_share\": 0.013646288209606987, \"cumulative_support\": 3535}, {\"value_label\": \"56\", \"support\": 149, \"support_share\": 0.013555312954876273, \"cumulative_support\": 3684}, {\"value_label\": \"41\", \"support\": 148, \"support_share\": 0.013464337700145561, \"cumulative_support\": 3832}, {\"value_label\": \"54\", \"support\": 146, \"support_share\": 0.013282387190684133, \"cumulative_support\": 3978}, {\"value_label\": \"50\", \"support\": 145, \"support_share\": 0.01319141193595342, \"cumulative_support\": 4123}, {\"value_label\": \"51\", \"support\": 144, \"support_share\": 0.013100436681222707, \"cumulative_support\": 4267}, {\"value_label\": \"49\", \"support\": 143, \"support_share\": 0.013009461426491994, \"cumulative_support\": 4410}, {\"value_label\": \"31\", \"support\": 142, \"support_share\": 0.01291848617176128, \"cumulative_support\": 4552}, {\"value_label\": \"55\", \"support\": 141, \"support_share\": 0.012827510917030568, \"cumulative_support\": 4693}, {\"value_label\": \"58\", \"support\": 141, \"support_share\": 0.012827510917030568, \"cumulative_support\": 4834}, {\"value_label\": \"60\", \"support\": 141, \"support_share\": 0.012827510917030568, \"cumulative_support\": 4975}, {\"value_label\": \"62\", \"support\": 139, \"support_share\": 0.012645560407569142, \"cumulative_support\": 5114}, {\"value_label\": \"28\", \"support\": 138, \"support_share\": 0.012554585152838428, \"cumulative_support\": 5252}, {\"value_label\": \"36\", \"support\": 138, \"support_share\": 0.012554585152838428, \"cumulative_support\": 5390}, {\"value_label\": \"32\", \"support\": 137, \"support_share\": 0.012463609898107715, \"cumulative_support\": 5527}, {\"value_label\": \"33\", \"support\": 137, \"support_share\": 0.012463609898107715, \"cumulative_support\": 5664}, {\"value_label\": \"26\", \"support\": 136, \"support_share\": 0.012372634643377001, \"cumulative_support\": 5800}, {\"value_label\": \"29\", \"support\": 134, \"support_share\": 0.012190684133915575, \"cumulative_support\": 5934}, {\"value_label\": \"59\", \"support\": 134, \"support_share\": 0.012190684133915575, \"cumulative_support\": 6068}, {\"value_label\": \"37\", \"support\": 132, \"support_share\": 0.012008733624454149, \"cumulative_support\": 6200}, {\"value_label\": \"45\", \"support\": 132, \"support_share\": 0.012008733624454149, \"cumulative_support\": 6332}, {\"value_label\": \"24\", \"support\": 131, \"support_share\": 0.011917758369723435, \"cumulative_support\": 6463}, {\"value_label\": \"48\", \"support\": 131, \"support_share\": 0.011917758369723435, \"cumulative_support\": 6594}, {\"value_label\": \"23\", \"support\": 125, \"support_share\": 0.011371906841339156, \"cumulative_support\": 6719}, {\"value_label\": \"20\", \"support\": 124, \"support_share\": 0.011280931586608443, \"cumulative_support\": 6843}, {\"value_label\": \"21\", \"support\": 119, \"support_share\": 0.010826055312954877, \"cumulative_support\": 6962}, {\"value_label\": \"25\", \"support\": 117, \"support_share\": 0.01064410480349345, \"cumulative_support\": 7079}, {\"value_label\": \"27\", \"support\": 115, \"support_share\": 0.010462154294032024, \"cumulative_support\": 7194}, {\"value_label\": \"22\", \"support\": 113, \"support_share\": 0.010280203784570598, \"cumulative_support\": 7307}, {\"value_label\": \"16\", \"support\": 110, \"support_share\": 0.010007278020378457, \"cumulative_support\": 7417}, {\"value_label\": \"61\", \"support\": 109, \"support_share\": 0.009916302765647743, \"cumulative_support\": 7526}, {\"value_label\": \"18\", \"support\": 107, \"support_share\": 0.009734352256186317, \"cumulative_support\": 7633}, {\"value_label\": \"19\", \"support\": 107, \"support_share\": 0.009734352256186317, \"cumulative_support\": 7740}, {\"value_label\": \"8\", \"support\": 103, \"support_share\": 0.009370451237263464, \"cumulative_support\": 7843}, {\"value_label\": \"17\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 7945}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ab0286b07dc5bc780d154d20350d4460a0fefbc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.724377+00:00", + "ended_at": "2026-05-19T16:10:15.729880+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_4bdc3aac2e64bc3f", + "problem_id": "v2p_n9_a4d8cb007601ef11", + "dataset_id": "n9", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3.", + "bindings": { + "group_col": "feature_3" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_4bdc3aac2e64bc3f.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4bdc3aac2e64bc3f/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..088a249f3b260317425b55de30bd288a87931f3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:05:04.283289+00:00", + "ended_at": "2026-05-19T16:05:12.174410+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_4c5d29d66bc3d2d2", + "problem_id": "v2p_n9_3cd77573c4facafd", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_2.", + "bindings": { + "group_col": "feature_2", + "top_k": 10, + "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": 89.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd8a6e6a0b825b26f436e2fba3c2d35c476a4cf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4c5d29d66bc3d2d2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:07.751550+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3466.03, "started_at": "2026-05-19T16:05:04.284646+00:00", "ended_at": "2026-05-19T16:05:07.750704+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-cd96-7f61-9356-1447a8c444b9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:12.174308+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3419.73, "started_at": "2026-05-19T16:05:08.753077+00:00", "ended_at": "2026-05-19T16:05:12.172854+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-df24-7690-a055-7c59b93dec64\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..23a162befb94b09a1ed46ab95931923a7d83e6d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:09:02.867859+00:00", + "ended_at": "2026-05-19T16:09:10.183277+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_4cdd6361ae5882f4", + "problem_id": "v2p_n9_5341fb827e9cde1c", + "dataset_id": "n9", + "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=feature_1, measure_col=feature_9.", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_9", + "top_k": 11, + "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": 89.0, + "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=5", + "sql_variant_index=1/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ab5b0d27a7ffcce25d791c1db75802f2f69a14e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4cdd6361ae5882f4/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:06.014459+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3144.76, "started_at": "2026-05-19T16:09:02.868941+00:00", "ended_at": "2026-05-19T16:09:06.013725+00:00", "prompt_metrics": {"chars": 9475, "bytes_utf8": 9475, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-71d8-7703-aa21-9e4cb263bbd7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:10.183176+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3167.0, "started_at": "2026-05-19T16:09:07.015267+00:00", "ended_at": "2026-05-19T16:09:10.182295+00:00", "prompt_metrics": {"chars": 9475, "bytes_utf8": 9475, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-81d8-7571-b728-09348711f369\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1f22419dff3883d90f9d4f6d09d95c2caef90c59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:09:54.799049+00:00", + "ended_at": "2026-05-19T16:10:01.738025+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_4ddc0e9817685f44", + "problem_id": "v2p_n9_75c914d200ce4fb5", + "dataset_id": "n9", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_4, measure_col=feature_12.", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_12", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dce53d26a7d576e823db0fa3cbcf16c82319c966 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ddc0e9817685f44/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:57.995238+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3193.89, "started_at": "2026-05-19T16:09:54.800552+00:00", "ended_at": "2026-05-19T16:09:57.994462+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-3c85-7252-aa7a-a34ae539d9ee\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:01.737904+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2740.73, "started_at": "2026-05-19T16:09:58.996473+00:00", "ended_at": "2026-05-19T16:10:01.737228+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-4ccc-72c3-88ba-ffc1542be6cc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6482e6e0540006cbff3d8049ae6c556fb3b96444 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_5. +Result preview: [{"feature_5": "3", "support": 39}, {"feature_5": "98", "support": 41}, {"feature_5": "99", "support": 43}, {"feature_5": "30", "support": 49}, {"feature_5": "4", "support": 55}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..942e07e0d222981e4bd6b9c17339a0ff9e2239ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n9_4eb0ead15b5f9504 +-- problem_id: v2p_n9_da7e09dc647caa06 +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_5", + COUNT(*) AS support +FROM "n9" +GROUP BY "feature_5" +ORDER BY support ASC, "feature_5" +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..915ba2d95ccc43b209c4b768d70921a95a01ebcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_5\",\n COUNT(*) AS support\nFROM \"n9\"\nGROUP BY \"feature_5\"\nORDER BY support ASC, \"feature_5\"\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_5\\\",\\n COUNT(*) AS support\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nORDER BY support ASC, \\\"feature_5\\\"\\nLIMIT 18;\", \"columns\": [\"feature_5\", \"support\"], \"rows\": [{\"feature_5\": \"3\", \"support\": 39}, {\"feature_5\": \"98\", \"support\": 41}, {\"feature_5\": \"99\", \"support\": 43}, {\"feature_5\": \"30\", \"support\": 49}, {\"feature_5\": \"4\", \"support\": 55}, {\"feature_5\": \"37\", \"support\": 57}, {\"feature_5\": \"41\", \"support\": 57}, {\"feature_5\": \"97\", \"support\": 60}, {\"feature_5\": \"10\", \"support\": 61}, {\"feature_5\": \"2\", \"support\": 61}, {\"feature_5\": \"31\", \"support\": 61}, {\"feature_5\": \"9\", \"support\": 61}, {\"feature_5\": \"94\", \"support\": 62}, {\"feature_5\": \"28\", \"support\": 63}, {\"feature_5\": \"33\", \"support\": 63}, {\"feature_5\": \"34\", \"support\": 63}, {\"feature_5\": \"5\", \"support\": 64}, {\"feature_5\": \"27\", \"support\": 65}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.73}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0ca84d37afc09d0c4d3c22c156d5a91b6933b881 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:06:14.750542+00:00", + "ended_at": "2026-05-19T16:06:28.382692+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_4eb0ead15b5f9504", + "problem_id": "v2p_n9_da7e09dc647caa06", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_5.", + "bindings": { + "group_col": "feature_5", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 55.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_4eb0ead15b5f9504.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_4eb0ead15b5f9504", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 12032, + "output_tokens": 223, + "total_tokens": 15171, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12621.47, + "sql_execution_elapsed_ms_total": 4.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b493f66135e69bfcca4e179c5c5288ea76e03ddc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:18.367019+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3613.76, "started_at": "2026-05-19T16:06:14.752050+00:00", "ended_at": "2026-05-19T16:06:18.365836+00:00", "prompt_metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-e0ee-7cd3-8ebe-ae467ad68fff\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:28.376601+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9007.71, "started_at": "2026-05-19T16:06:19.367972+00:00", "ended_at": "2026-05-19T16:06:28.375752+00:00", "prompt_metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 299, "bytes_utf8": 299, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14948, "cached_input_tokens": 12032, "output_tokens": 223, "reasoning_output_tokens": 131}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_5\\\",\\n COUNT(*) AS support\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nORDER BY support ASC, \\\"feature_5\\\"\\nLIMIT 18;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to feature_5 and top_k=18.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..103bf656a27caa5c662f69d36c277d25a3f2233a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_4eb0ead15b5f9504", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 12032, + "output_tokens": 223, + "total_tokens": 15171, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12621.47, + "sql_execution_elapsed_ms_total": 4.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4eb0ead15b5f9504/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1b4fcaf2ea82a12229f61f2d282f1eb4c7751f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_3, measure_col=feature_8. +Result preview: [{"feature_3": "0", "percentile_measure": 100.0}, {"feature_3": "10", "percentile_measure": 100.0}, {"feature_3": "15", "percentile_measure": 100.0}, {"feature_3": "16", "percentile_measure": 100.0}, {"feature_3": "19", "percentile_measure": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2da5e372ada37b68a886f19a3093d396a97ff5d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/generated_sql.sql @@ -0,0 +1,56 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_4ffbe007bffba04b +-- problem_id: v2p_n9_fc2b88ccc78fa045 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "feature_3" AS "group_col", + CAST("feature_8" AS REAL) AS "measure_val", + ROW_NUMBER() OVER ( + PARTITION BY "feature_3" + ORDER BY CAST("feature_8" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "feature_3" + ) AS "cnt" + FROM "n9" + WHERE "feature_3" IS NOT NULL + AND "feature_8" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "group_col", + (1.0 + ("cnt" - 1) * 0.95) AS "pos", + CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.95) = CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) + THEN CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) + ELSE CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ordered" +) +SELECT + p."group_col" AS "feature_3", + CASE + WHEN p."lower_rn" = p."upper_rn" THEN MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_val" END) + ELSE + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_val" END) + + (p."pos" - p."lower_rn") * ( + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure_val" END) - + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_val" END) + ) + END AS "percentile_measure" +FROM "positions" AS p +JOIN "ordered" AS o + ON o."group_col" = p."group_col" +GROUP BY p."group_col", p."pos", p."lower_rn", p."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..106523471108139c136841067d5506eb1a511e32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/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_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_3\" AS \"group_col\",\n CAST(\"feature_8\" AS REAL) AS \"measure_val\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_3\"\n ORDER BY CAST(\"feature_8\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_3\"\n ) AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_3\" IS NOT NULL\n AND \"feature_8\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"group_col\",\n (1.0 + (\"cnt\" - 1) * 0.95) AS \"pos\",\n CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.95) = CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER)\n THEN CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER)\n ELSE CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n)\nSELECT\n p.\"group_col\" AS \"feature_3\",\n CASE\n WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_val\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_val\" END) +\n (p.\"pos\" - p.\"lower_rn\") * (\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure_val\" END) -\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_val\" END)\n )\n END AS \"percentile_measure\"\nFROM \"positions\" AS p\nJOIN \"ordered\" AS o\n ON o.\"group_col\" = p.\"group_col\"\nGROUP BY p.\"group_col\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_3\\\" AS \\\"group_col\\\",\\n CAST(\\\"feature_8\\\" AS REAL) AS \\\"measure_val\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ORDER BY CAST(\\\"feature_8\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_3\\\" IS NOT NULL\\n AND \\\"feature_8\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\",\\n CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) = CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n THEN CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n ELSE CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"feature_3\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_val\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_val\\\" END) +\\n (p.\\\"pos\\\" - p.\\\"lower_rn\\\") * (\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure_val\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_val\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS p\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"group_col\\\" = p.\\\"group_col\\\"\\nGROUP BY p.\\\"group_col\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"feature_3\", \"percentile_measure\"], \"rows\": [{\"feature_3\": \"0\", \"percentile_measure\": 100.0}, {\"feature_3\": \"10\", \"percentile_measure\": 100.0}, {\"feature_3\": \"15\", \"percentile_measure\": 100.0}, {\"feature_3\": \"16\", \"percentile_measure\": 100.0}, {\"feature_3\": \"19\", \"percentile_measure\": 100.0}, {\"feature_3\": \"21\", \"percentile_measure\": 100.0}, {\"feature_3\": \"22\", \"percentile_measure\": 100.0}, {\"feature_3\": \"23\", \"percentile_measure\": 100.0}, {\"feature_3\": \"24\", \"percentile_measure\": 100.0}, {\"feature_3\": \"25\", \"percentile_measure\": 100.0}, {\"feature_3\": \"26\", \"percentile_measure\": 100.0}, {\"feature_3\": \"27\", \"percentile_measure\": 100.0}, {\"feature_3\": \"28\", \"percentile_measure\": 100.0}, {\"feature_3\": \"29\", \"percentile_measure\": 100.0}, {\"feature_3\": \"3\", \"percentile_measure\": 100.0}, {\"feature_3\": \"30\", \"percentile_measure\": 100.0}, {\"feature_3\": \"31\", \"percentile_measure\": 100.0}, {\"feature_3\": \"32\", \"percentile_measure\": 100.0}, {\"feature_3\": \"33\", \"percentile_measure\": 100.0}, {\"feature_3\": \"34\", \"percentile_measure\": 100.0}, {\"feature_3\": \"35\", \"percentile_measure\": 100.0}, {\"feature_3\": \"36\", \"percentile_measure\": 100.0}, {\"feature_3\": \"37\", \"percentile_measure\": 100.0}, {\"feature_3\": \"38\", \"percentile_measure\": 100.0}, {\"feature_3\": \"39\", \"percentile_measure\": 100.0}, {\"feature_3\": \"4\", \"percentile_measure\": 100.0}, {\"feature_3\": \"40\", \"percentile_measure\": 100.0}, {\"feature_3\": \"41\", \"percentile_measure\": 100.0}, {\"feature_3\": \"42\", \"percentile_measure\": 100.0}, {\"feature_3\": \"43\", \"percentile_measure\": 100.0}, {\"feature_3\": \"44\", \"percentile_measure\": 100.0}, {\"feature_3\": \"45\", \"percentile_measure\": 100.0}, {\"feature_3\": \"46\", \"percentile_measure\": 100.0}, {\"feature_3\": \"47\", \"percentile_measure\": 100.0}, {\"feature_3\": \"48\", \"percentile_measure\": 100.0}, {\"feature_3\": \"51\", \"percentile_measure\": 100.0}, {\"feature_3\": \"52\", \"percentile_measure\": 100.0}, {\"feature_3\": \"54\", \"percentile_measure\": 100.0}, {\"feature_3\": \"55\", \"percentile_measure\": 100.0}, {\"feature_3\": \"7\", \"percentile_measure\": 100.0}, {\"feature_3\": \"9\", \"percentile_measure\": 100.0}, {\"feature_3\": \"6\", \"percentile_measure\": 99.69999999999997}, {\"feature_3\": \"13\", \"percentile_measure\": 99.39999999999999}, {\"feature_3\": \"14\", \"percentile_measure\": 98.69999999999999}, {\"feature_3\": \"11\", \"percentile_measure\": 98.1}, {\"feature_3\": \"53\", \"percentile_measure\": 98.0}, {\"feature_3\": \"56\", \"percentile_measure\": 97.19999999999999}, {\"feature_3\": \"20\", \"percentile_measure\": 96.85}, {\"feature_3\": \"49\", \"percentile_measure\": 96.80000000000001}, {\"feature_3\": \"8\", \"percentile_measure\": 96.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 41.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e3879d90b6cbae69ed4062f7607d0ab435a4a786 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:53:23.948709+00:00", + "ended_at": "2026-05-19T15:53:48.265904+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_4ffbe007bffba04b", + "problem_id": "v2p_n9_fc2b88ccc78fa045", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_3, measure_col=feature_8.", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_8", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 57.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_4ffbe007bffba04b.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_4ffbe007bffba04b", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 1134, + "total_tokens": 16112, + "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": 24272.05, + "sql_execution_elapsed_ms_total": 41.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1af56aba757a4ecd2a21dcfe81922106a57a4729 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:53:48.222668+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 24272.05, "started_at": "2026-05-19T15:53:23.949833+00:00", "ended_at": "2026-05-19T15:53:48.221901+00:00", "prompt_metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1795, "bytes_utf8": 1795, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 1134, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_3\\\" AS \\\"group_col\\\",\\n CAST(\\\"feature_8\\\" AS REAL) AS \\\"measure_val\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ORDER BY CAST(\\\"feature_8\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_3\\\" IS NOT NULL\\n AND \\\"feature_8\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\",\\n CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) = CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n THEN CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n ELSE CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"feature_3\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..23f997d38ee2449e41d0e9c19d4a1fc2d8f2fb21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_4ffbe007bffba04b", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 1134, + "total_tokens": 16112, + "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": 24272.05, + "sql_execution_elapsed_ms_total": 41.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_4ffbe007bffba04b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c1cb127b28d5a9583d77017402c16b47bacca02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_2, measure_col=feature_2. +Result preview: [{"feature_2": "100", "total_measure": 311500.0}, {"feature_2": "96", "total_measure": 23712.0}, {"feature_2": "91", "total_measure": 23569.0}, {"feature_2": "90", "total_measure": 23490.0}, {"feature_2": "93", "total_measure": 22785.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bfca3c16da0d723d63ea7fd024e34dbd40f1fe46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_53d3b8da9673c547 +-- problem_id: v2p_n9_02a6d81e31ae030b +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_2", SUM(CAST("feature_2" AS REAL)) AS total_measure +FROM "n9" +GROUP BY "feature_2" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b65acbe0b83db9176a89fd0ad9d8a240fdc8542 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/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_h2o_group_sum\nSELECT \"feature_2\", SUM(CAST(\"feature_2\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_2\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_2\", \"total_measure\"], \"rows\": [{\"feature_2\": \"100\", \"total_measure\": 311500.0}, {\"feature_2\": \"96\", \"total_measure\": 23712.0}, {\"feature_2\": \"91\", \"total_measure\": 23569.0}, {\"feature_2\": \"90\", \"total_measure\": 23490.0}, {\"feature_2\": \"93\", \"total_measure\": 22785.0}, {\"feature_2\": \"94\", \"total_measure\": 22748.0}, {\"feature_2\": \"88\", \"total_measure\": 22352.0}, {\"feature_2\": \"95\", \"total_measure\": 22230.0}, {\"feature_2\": \"89\", \"total_measure\": 21716.0}, {\"feature_2\": \"92\", \"total_measure\": 21620.0}, {\"feature_2\": \"97\", \"total_measure\": 21049.0}, {\"feature_2\": \"85\", \"total_measure\": 20825.0}, {\"feature_2\": \"86\", \"total_measure\": 19952.0}, {\"feature_2\": \"98\", \"total_measure\": 19894.0}, {\"feature_2\": \"82\", \"total_measure\": 19352.0}, {\"feature_2\": \"87\", \"total_measure\": 19227.0}, {\"feature_2\": \"83\", \"total_measure\": 17679.0}, {\"feature_2\": \"81\", \"total_measure\": 17496.0}, {\"feature_2\": \"84\", \"total_measure\": 17220.0}, {\"feature_2\": \"99\", \"total_measure\": 17028.0}, {\"feature_2\": \"80\", \"total_measure\": 16000.0}, {\"feature_2\": \"78\", \"total_measure\": 15600.0}, {\"feature_2\": \"77\", \"total_measure\": 13475.0}, {\"feature_2\": \"79\", \"total_measure\": 13193.0}, {\"feature_2\": \"76\", \"total_measure\": 13072.0}, {\"feature_2\": \"75\", \"total_measure\": 12075.0}, {\"feature_2\": \"73\", \"total_measure\": 11899.0}, {\"feature_2\": \"74\", \"total_measure\": 10360.0}, {\"feature_2\": \"72\", \"total_measure\": 9648.0}, {\"feature_2\": \"71\", \"total_measure\": 9514.0}, {\"feature_2\": \"70\", \"total_measure\": 8260.0}, {\"feature_2\": \"69\", \"total_measure\": 7935.0}, {\"feature_2\": \"67\", \"total_measure\": 7839.0}, {\"feature_2\": \"66\", \"total_measure\": 7524.0}, {\"feature_2\": \"68\", \"total_measure\": 7344.0}, {\"feature_2\": \"65\", \"total_measure\": 6565.0}, {\"feature_2\": \"64\", \"total_measure\": 6208.0}, {\"feature_2\": \"63\", \"total_measure\": 6111.0}, {\"feature_2\": \"62\", \"total_measure\": 4278.0}, {\"feature_2\": \"61\", \"total_measure\": 4209.0}, {\"feature_2\": \"60\", \"total_measure\": 3660.0}, {\"feature_2\": \"59\", \"total_measure\": 3068.0}, {\"feature_2\": \"55\", \"total_measure\": 3025.0}, {\"feature_2\": \"58\", \"total_measure\": 2668.0}, {\"feature_2\": \"57\", \"total_measure\": 2508.0}, {\"feature_2\": \"56\", \"total_measure\": 2352.0}, {\"feature_2\": \"54\", \"total_measure\": 2322.0}, {\"feature_2\": \"53\", \"total_measure\": 1855.0}, {\"feature_2\": \"52\", \"total_measure\": 1768.0}, {\"feature_2\": \"51\", \"total_measure\": 1428.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..780a3368b0a5ee91d8433c976517c55521a30be9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:28:49.391323+00:00", + "ended_at": "2026-05-19T15:29:03.401759+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_53d3b8da9673c547", + "problem_id": "v2p_n9_02a6d81e31ae030b", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_2, measure_col=feature_2.", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_2", + "top_k": 16, + "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": 96.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_53d3b8da9673c547.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_53d3b8da9673c547", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 540, + "total_tokens": 15480, + "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": 14001.91, + "sql_execution_elapsed_ms_total": 5.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4dce8bd48559d9f69a21dfcf9b09c276163435e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:03.395251+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14001.91, "started_at": "2026-05-19T15:28:49.392566+00:00", "ended_at": "2026-05-19T15:29:03.394505+00:00", "prompt_metrics": {"chars": 9391, "bytes_utf8": 9391, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 540, "reasoning_output_tokens": 440}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_2\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col and measure_col both bound to \\\"feature_2\\\". CAST was added because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..462330295f78aafa551ff8a91f8a0830cb588824 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_53d3b8da9673c547", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 540, + "total_tokens": 15480, + "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": 14001.91, + "sql_execution_elapsed_ms_total": 5.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_53d3b8da9673c547/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e84a0deeca2d6cd52645594c0959bdabb3d81177 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_8, measure_col=feature_9. +Result preview: [{"feature_8": "16", "feature_10": "0", "total_measure": 1940.0, "share_within_group": 62.58064516129032}, {"feature_8": "27", "feature_10": "0", "total_measure": 2845.0, "share_within_group": 62.54121785007694}, {"feature_8": "19", "feature_10": "0", "total_measure": 2129.0, "share_within_group": 62.19690330119778}, {"feature_8": "18", "feature_10": "0", "total_measure": 2201.0, "share_within_group": 61.6699355561782}, {"feature_8": "20", "feature_10": "0", "total_measure": 2465.0, "share_within_group": 61.36420214090117}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f73e9a67fa48630ac2d291a33e7877b91f308850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/generated_sql.sql @@ -0,0 +1,29 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_5439ef3aaead0361 +-- problem_id: v2p_n9_f1fe8922a9905e8e +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "feature_8", + "feature_10", + SUM(CAST("feature_9" AS REAL)) AS "total_measure" + FROM "n9" + GROUP BY "feature_8", "feature_10" +) +SELECT + "feature_8", + "feature_10", + "total_measure", + "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "feature_8") AS "share_within_group" +FROM "grouped" +ORDER BY "share_within_group" DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..02b908f1e012f1c23fff3dd15396239911917ad7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/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_tpcds_within_group_share\nWITH \"grouped\" AS (\n SELECT\n \"feature_8\",\n \"feature_10\",\n SUM(CAST(\"feature_9\" AS REAL)) AS \"total_measure\"\n FROM \"n9\"\n GROUP BY \"feature_8\", \"feature_10\"\n)\nSELECT\n \"feature_8\",\n \"feature_10\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"feature_8\") AS \"share_within_group\"\nFROM \"grouped\"\nORDER BY \"share_within_group\" DESC\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_8\\\",\\n \\\"feature_10\\\",\\n SUM(CAST(\\\"feature_9\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\", \\\"feature_10\\\"\\n)\\nSELECT\\n \\\"feature_8\\\",\\n \\\"feature_10\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"feature_8\\\") AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\", \"columns\": [\"feature_8\", \"feature_10\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_8\": \"16\", \"feature_10\": \"0\", \"total_measure\": 1940.0, \"share_within_group\": 62.58064516129032}, {\"feature_8\": \"27\", \"feature_10\": \"0\", \"total_measure\": 2845.0, \"share_within_group\": 62.54121785007694}, {\"feature_8\": \"19\", \"feature_10\": \"0\", \"total_measure\": 2129.0, \"share_within_group\": 62.19690330119778}, {\"feature_8\": \"18\", \"feature_10\": \"0\", \"total_measure\": 2201.0, \"share_within_group\": 61.6699355561782}, {\"feature_8\": \"20\", \"feature_10\": \"0\", \"total_measure\": 2465.0, \"share_within_group\": 61.36420214090117}, {\"feature_8\": \"21\", \"feature_10\": \"0\", \"total_measure\": 2015.0, \"share_within_group\": 60.711057547454054}, {\"feature_8\": \"22\", \"feature_10\": \"0\", \"total_measure\": 2399.0, \"share_within_group\": 57.890926640926644}, {\"feature_8\": \"23\", \"feature_10\": \"0\", \"total_measure\": 2107.0, \"share_within_group\": 56.41231593038822}, {\"feature_8\": \"33\", \"feature_10\": \"0\", \"total_measure\": 3651.0, \"share_within_group\": 55.723443223443226}, {\"feature_8\": \"36\", \"feature_10\": \"0\", \"total_measure\": 4484.0, \"share_within_group\": 53.165757647616786}, {\"feature_8\": \"26\", \"feature_10\": \"0\", \"total_measure\": 2012.0, \"share_within_group\": 53.14315900686741}, {\"feature_8\": \"24\", \"feature_10\": \"0\", \"total_measure\": 2294.0, \"share_within_group\": 52.74775810531157}, {\"feature_8\": \"13\", \"feature_10\": \"0\", \"total_measure\": 1357.0, \"share_within_group\": 50.88113985751781}, {\"feature_8\": \"17\", \"feature_10\": \"0\", \"total_measure\": 1795.0, \"share_within_group\": 49.626762510367705}, {\"feature_8\": \"32\", \"feature_10\": \"0\", \"total_measure\": 2839.0, \"share_within_group\": 48.83040935672515}, {\"feature_8\": \"34\", \"feature_10\": \"0\", \"total_measure\": 3764.0, \"share_within_group\": 48.12068524673997}, {\"feature_8\": \"35\", \"feature_10\": \"0\", \"total_measure\": 3814.0, \"share_within_group\": 46.86655197837307}, {\"feature_8\": \"25\", \"feature_10\": \"0\", \"total_measure\": 2044.0, \"share_within_group\": 46.38075788518266}, {\"feature_8\": \"31\", \"feature_10\": \"0\", \"total_measure\": 2509.0, \"share_within_group\": 44.92390331244405}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 27.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a827b70c47947585594412ce13b5d439d1087072 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:34:26.621713+00:00", + "ended_at": "2026-05-19T15:34:50.228184+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_5439ef3aaead0361", + "problem_id": "v2p_n9_f1fe8922a9905e8e", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_8, measure_col=feature_9.", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_9", + "item_col": "feature_10", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_5439ef3aaead0361.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5439ef3aaead0361", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 1185, + "total_tokens": 16244, + "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": 23572.46, + "sql_execution_elapsed_ms_total": 27.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..262f4b30ac54bc9dc17c8c66ad7acad64470e5bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:50.197358+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 23572.46, "started_at": "2026-05-19T15:34:26.623709+00:00", "ended_at": "2026-05-19T15:34:50.196208+00:00", "prompt_metrics": {"chars": 9798, "bytes_utf8": 9798, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 789, "bytes_utf8": 789, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 1185, "reasoning_output_tokens": 952}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_8\\\",\\n \\\"feature_10\\\",\\n SUM(CAST(\\\"feature_9\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\", \\\"feature_10\\\"\\n)\\nSELECT\\n \\\"feature_8\\\",\\n \\\"feature_10\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"feature_8\\\") AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\",\"notes\":\"Applied the Within-Group Share of Total template with \\\"feature_8\\\" as the group column, \\\"feature_10\\\" as the item column, and \\\"feature_9\\\" as the measure column. CAST to REAL is used because the schema stores numeric features as TEXT. LIMIT 19 reflects the provided top_k binding.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3105321b5f4c3e26b4564abc9b1183c11a82c7bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5439ef3aaead0361", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 1185, + "total_tokens": 16244, + "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": 23572.46, + "sql_execution_elapsed_ms_total": 27.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5439ef3aaead0361/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8761d0d311b6e91a4933e893d6542fa0d49ac250 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_9, measure_col=feature_9. +Result preview: [{"feature_9": "100", "total_measure": 176400.0}, {"feature_9": "88", "total_measure": 10912.0}, {"feature_9": "84", "total_measure": 10668.0}, {"feature_9": "94", "total_measure": 10622.0}, {"feature_9": "95", "total_measure": 10070.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2da004e801984248a3a7ca2d11e8ee1314d996b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_543b8570fff58ef8 +-- problem_id: v2p_n9_e33e6e3c3d7cdfa2 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_9", SUM(CAST("feature_9" AS REAL)) AS total_measure +FROM "n9" +GROUP BY "feature_9" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4db854e282114f3e154504ac9e88dbcfbe298270 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/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_h2o_group_sum\nSELECT \"feature_9\", SUM(CAST(\"feature_9\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_9\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_9\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_9\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_9\", \"total_measure\"], \"rows\": [{\"feature_9\": \"100\", \"total_measure\": 176400.0}, {\"feature_9\": \"88\", \"total_measure\": 10912.0}, {\"feature_9\": \"84\", \"total_measure\": 10668.0}, {\"feature_9\": \"94\", \"total_measure\": 10622.0}, {\"feature_9\": \"95\", \"total_measure\": 10070.0}, {\"feature_9\": \"93\", \"total_measure\": 9393.0}, {\"feature_9\": \"92\", \"total_measure\": 9016.0}, {\"feature_9\": \"85\", \"total_measure\": 9010.0}, {\"feature_9\": \"79\", \"total_measure\": 8927.0}, {\"feature_9\": \"82\", \"total_measure\": 8856.0}, {\"feature_9\": \"91\", \"total_measure\": 8827.0}, {\"feature_9\": \"86\", \"total_measure\": 8686.0}, {\"feature_9\": \"96\", \"total_measure\": 8448.0}, {\"feature_9\": \"99\", \"total_measure\": 8316.0}, {\"feature_9\": \"81\", \"total_measure\": 8262.0}, {\"feature_9\": \"97\", \"total_measure\": 8245.0}, {\"feature_9\": \"90\", \"total_measure\": 8190.0}, {\"feature_9\": \"87\", \"total_measure\": 8178.0}, {\"feature_9\": \"89\", \"total_measure\": 8099.0}, {\"feature_9\": \"77\", \"total_measure\": 8085.0}, {\"feature_9\": \"78\", \"total_measure\": 8034.0}, {\"feature_9\": \"71\", \"total_measure\": 8023.0}, {\"feature_9\": \"83\", \"total_measure\": 7885.0}, {\"feature_9\": \"98\", \"total_measure\": 7644.0}, {\"feature_9\": \"80\", \"total_measure\": 7520.0}, {\"feature_9\": \"70\", \"total_measure\": 7140.0}, {\"feature_9\": \"72\", \"total_measure\": 6840.0}, {\"feature_9\": \"75\", \"total_measure\": 6750.0}, {\"feature_9\": \"73\", \"total_measure\": 6570.0}, {\"feature_9\": \"67\", \"total_measure\": 6566.0}, {\"feature_9\": \"60\", \"total_measure\": 6540.0}, {\"feature_9\": \"62\", \"total_measure\": 6324.0}, {\"feature_9\": \"76\", \"total_measure\": 6308.0}, {\"feature_9\": \"66\", \"total_measure\": 5808.0}, {\"feature_9\": \"59\", \"total_measure\": 5723.0}, {\"feature_9\": \"74\", \"total_measure\": 5698.0}, {\"feature_9\": \"58\", \"total_measure\": 5568.0}, {\"feature_9\": \"61\", \"total_measure\": 5246.0}, {\"feature_9\": \"68\", \"total_measure\": 5236.0}, {\"feature_9\": \"69\", \"total_measure\": 5175.0}, {\"feature_9\": \"55\", \"total_measure\": 5115.0}, {\"feature_9\": \"48\", \"total_measure\": 4752.0}, {\"feature_9\": \"51\", \"total_measure\": 4743.0}, {\"feature_9\": \"57\", \"total_measure\": 4731.0}, {\"feature_9\": \"63\", \"total_measure\": 4725.0}, {\"feature_9\": \"47\", \"total_measure\": 4606.0}, {\"feature_9\": \"46\", \"total_measure\": 4554.0}, {\"feature_9\": \"64\", \"total_measure\": 4480.0}, {\"feature_9\": \"41\", \"total_measure\": 4469.0}, {\"feature_9\": \"42\", \"total_measure\": 4326.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..be44f398707f78a7fc48083acaabecb25596637b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:31:46.196050+00:00", + "ended_at": "2026-05-19T15:31:55.865728+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_543b8570fff58ef8", + "problem_id": "v2p_n9_e33e6e3c3d7cdfa2", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_9, measure_col=feature_9.", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_9", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_543b8570fff58ef8.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_543b8570fff58ef8", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 340, + "total_tokens": 15280, + "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": 9651.12, + "sql_execution_elapsed_ms_total": 12.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e27ea446a12eda8283ff5ac229a6d6b7e6aaa2cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:55.850569+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9651.12, "started_at": "2026-05-19T15:31:46.197783+00:00", "ended_at": "2026-05-19T15:31:55.848945+00:00", "prompt_metrics": {"chars": 9390, "bytes_utf8": 9390, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 362, "bytes_utf8": 362, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 340, "reasoning_output_tokens": 241}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_9\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_9\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with \\\"feature_9\\\" as both grouping and measure column; cast the TEXT-valued measure to REAL for numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ac89fe584bc6d44a5827e4d80490069745ce1d80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_543b8570fff58ef8", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 340, + "total_tokens": 15280, + "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": 9651.12, + "sql_execution_elapsed_ms_total": 12.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_543b8570fff58ef8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0bf9fbc7981df6b82ec768bbfe94f031cca93bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1. +Result preview: [{"feature_1": "100"}, {"feature_1": "100"}, {"feature_1": "100"}, {"feature_1": "100"}, {"feature_1": "100"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..54ff777f763c5b10eb44a777694512f4a21c824c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n9_55f4f921dbe66dcd +-- problem_id: v2p_n9_e02651a051af41bc +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "feature_1", + NTILE(10) OVER (ORDER BY CAST("feature_1" AS REAL) DESC) AS tail_bucket + FROM "n9" +) +SELECT "feature_1" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("feature_1" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8bbe5392e9edfe18d392c6772497de8d11fa9592 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/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_quantile_tail_slice\nWITH buckets AS (\n SELECT \"feature_1\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_1\" AS REAL) DESC) AS tail_bucket\n FROM \"n9\"\n)\nSELECT \"feature_1\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"feature_1\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"feature_1\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_1\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_1\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_1\\\" AS REAL) DESC;\", \"columns\": [\"feature_1\"], \"rows\": [{\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}, {\"feature_1\": \"100\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 16.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..21fde2bd7e4564df0955d66fd9ab5349123be2cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:44:39.682835+00:00", + "ended_at": "2026-05-19T15:45:10.038454+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_55f4f921dbe66dcd", + "problem_id": "v2p_n9_e02651a051af41bc", + "dataset_id": "n9", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.", + "bindings": { + "measure_col": "feature_1", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 65.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=64" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_55f4f921dbe66dcd.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_55f4f921dbe66dcd", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 12032, + "output_tokens": 395, + "total_tokens": 15386, + "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": 30336.01, + "sql_execution_elapsed_ms_total": 16.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d63f3536e6796110e2e74ca3389a0e43668ff71d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:10.020817+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 30336.01, "started_at": "2026-05-19T15:44:39.683960+00:00", "ended_at": "2026-05-19T15:45:10.020026+00:00", "prompt_metrics": {"chars": 9558, "bytes_utf8": 9558, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 508, "bytes_utf8": 508, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 12032, "output_tokens": 395, "reasoning_output_tokens": 249}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"feature_1\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_1\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_1\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_1\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_1\\\" and num_tiles=10. Cast \\\"feature_1\\\" to REAL for numeric tail bucketing because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..24ebb88cadd9f2809fc58d7c9ec319a7e4dc6769 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_55f4f921dbe66dcd", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 12032, + "output_tokens": 395, + "total_tokens": 15386, + "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": 30336.01, + "sql_execution_elapsed_ms_total": 16.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_55f4f921dbe66dcd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc93f92993b62f9fb0716b3d6e167db0686454ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"feature_4": "100", "support": 4387, "avg_response": 83.56485069523592}, {"feature_4": "75", "support": 173, "avg_response": 90.3121387283237}, {"feature_4": "78", "support": 172, "avg_response": 91.80232558139535}, {"feature_4": "81", "support": 171, "avg_response": 90.42690058479532}, {"feature_4": "77", "support": 171, "avg_response": 89.32748538011695}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..65152650b21b84c2ca0a8748347e105e5fffb83a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n9_5aa5ecb5e24ac4ae +-- problem_id: v2p_n9_2d40ed07c245820c +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "feature_4", + COUNT(*) AS support, + AVG("feature_2") AS avg_response +FROM "n9" +GROUP BY "feature_4" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bf85dd50eac0f9e6337c686d1c1835b07fd00719 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n9_5aa5ecb5e24ac4ae\n-- problem_id: v2p_n9_2d40ed07c245820c\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"feature_4\",\n COUNT(*) AS support,\n AVG(\"feature_2\") AS avg_response\nFROM \"n9\"\nGROUP BY \"feature_4\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n9_5aa5ecb5e24ac4ae\\n-- problem_id: v2p_n9_2d40ed07c245820c\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"feature_4\\\",\\n COUNT(*) AS support,\\n AVG(\\\"feature_2\\\") AS avg_response\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"feature_4\", \"support\", \"avg_response\"], \"rows\": [{\"feature_4\": \"100\", \"support\": 4387, \"avg_response\": 83.56485069523592}, {\"feature_4\": \"75\", \"support\": 173, \"avg_response\": 90.3121387283237}, {\"feature_4\": \"78\", \"support\": 172, \"avg_response\": 91.80232558139535}, {\"feature_4\": \"81\", \"support\": 171, \"avg_response\": 90.42690058479532}, {\"feature_4\": \"77\", \"support\": 171, \"avg_response\": 89.32748538011695}, {\"feature_4\": \"79\", \"support\": 167, \"avg_response\": 91.53293413173652}, {\"feature_4\": \"80\", \"support\": 167, \"avg_response\": 91.47904191616766}, {\"feature_4\": \"99\", \"support\": 162, \"avg_response\": 93.45061728395062}, {\"feature_4\": \"82\", \"support\": 161, \"avg_response\": 89.77639751552795}, {\"feature_4\": \"76\", \"support\": 160, \"avg_response\": 90.25}, {\"feature_4\": \"83\", \"support\": 158, \"avg_response\": 91.80379746835443}, {\"feature_4\": \"98\", \"support\": 153, \"avg_response\": 88.50980392156863}, {\"feature_4\": \"84\", \"support\": 147, \"avg_response\": 91.20408163265306}, {\"feature_4\": \"74\", \"support\": 146, \"avg_response\": 88.98630136986301}, {\"feature_4\": \"73\", \"support\": 143, \"avg_response\": 89.31468531468532}, {\"feature_4\": \"97\", \"support\": 136, \"avg_response\": 92.2720588235294}, {\"feature_4\": \"71\", \"support\": 135, \"avg_response\": 88.35555555555555}, {\"feature_4\": \"90\", \"support\": 134, \"avg_response\": 93.30597014925372}, {\"feature_4\": \"70\", \"support\": 130, \"avg_response\": 88.49230769230769}, {\"feature_4\": \"85\", \"support\": 129, \"avg_response\": 92.51162790697674}, {\"feature_4\": \"68\", \"support\": 127, \"avg_response\": 84.67716535433071}, {\"feature_4\": \"86\", \"support\": 126, \"avg_response\": 92.63492063492063}, {\"feature_4\": \"96\", \"support\": 126, \"avg_response\": 89.6984126984127}, {\"feature_4\": \"69\", \"support\": 124, \"avg_response\": 88.29838709677419}, {\"feature_4\": \"92\", \"support\": 123, \"avg_response\": 91.39024390243902}, {\"feature_4\": \"87\", \"support\": 121, \"avg_response\": 93.81818181818181}, {\"feature_4\": \"72\", \"support\": 121, \"avg_response\": 89.16528925619835}, {\"feature_4\": \"64\", \"support\": 117, \"avg_response\": 83.55555555555556}, {\"feature_4\": \"91\", \"support\": 115, \"avg_response\": 90.5304347826087}, {\"feature_4\": \"93\", \"support\": 112, \"avg_response\": 90.29464285714286}, {\"feature_4\": \"66\", \"support\": 112, \"avg_response\": 85.94642857142857}, {\"feature_4\": \"62\", \"support\": 109, \"avg_response\": 82.68807339449542}, {\"feature_4\": \"95\", \"support\": 108, \"avg_response\": 90.26851851851852}, {\"feature_4\": \"89\", \"support\": 106, \"avg_response\": 92.44339622641509}, {\"feature_4\": \"63\", \"support\": 105, \"avg_response\": 84.26666666666667}, {\"feature_4\": \"94\", \"support\": 102, \"avg_response\": 90.68627450980392}, {\"feature_4\": \"61\", \"support\": 102, \"avg_response\": 82.29411764705883}, {\"feature_4\": \"60\", \"support\": 101, \"avg_response\": 78.08910891089108}, {\"feature_4\": \"88\", \"support\": 99, \"avg_response\": 92.24242424242425}, {\"feature_4\": \"65\", \"support\": 97, \"avg_response\": 86.38144329896907}, {\"feature_4\": \"67\", \"support\": 97, \"avg_response\": 85.31958762886597}, {\"feature_4\": \"55\", \"support\": 92, \"avg_response\": 81.8913043478261}, {\"feature_4\": \"58\", \"support\": 89, \"avg_response\": 81.4494382022472}, {\"feature_4\": \"59\", \"support\": 86, \"avg_response\": 78.40697674418605}, {\"feature_4\": \"57\", \"support\": 80, \"avg_response\": 80.8875}, {\"feature_4\": \"54\", \"support\": 71, \"avg_response\": 78.95774647887323}, {\"feature_4\": \"56\", \"support\": 68, \"avg_response\": 78.5}, {\"feature_4\": \"50\", \"support\": 60, \"avg_response\": 77.1}, {\"feature_4\": \"52\", \"support\": 54, \"avg_response\": 77.79629629629629}, {\"feature_4\": \"53\", \"support\": 47, \"avg_response\": 74.7872340425532}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8f791c50d0ffaa81fc9869f3f3437a67b9ff4014 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.864719+00:00", + "ended_at": "2026-05-19T16:10:15.870227+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_5aa5ecb5e24ac4ae", + "problem_id": "v2p_n9_2d40ed07c245820c", + "dataset_id": "n9", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=feature_2, key_col=feature_4.", + "bindings": { + "key_col": "feature_4", + "measure_col": "feature_2", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_5aa5ecb5e24ac4ae.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5aa5ecb5e24ac4ae/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c84e974fbc701b306761a9d1dfa4700b668afddc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9703, "bytes_utf8": 9703, "lines": 304, "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": 465, "bytes_utf8": 465, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 12032, "output_tokens": 439, "reasoning_output_tokens": 302}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1410a8e70a28f5004e8f3ebd6d0ebf3e9a2d0a21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5be208a8a0379c86", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 439, + "total_tokens": 15475, + "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": 16624.57, + "sql_execution_elapsed_ms_total": 3.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..288e5e70499a7634ee457a35d9ca67156b29777c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/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": "2026-05-19T15:43:20.534473+00:00", + "ended_at": "2026-05-19T15:43:37.159075+00:00", + "elapsed_ms": 16624.57, + "prompt_metrics": { + "chars": 9703, + "bytes_utf8": 9703, + "lines": 304, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1173, + "bytes_utf8": 1173, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 465, + "bytes_utf8": 465, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 439, + "reasoning_output_tokens": 302 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f64d782a4ac69fab63c85ad7c29bf55b2aff4b9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_4, group_col_2=feature_16.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_16", + "predicate_col": "feature_6", + "predicate_op": ">=", + "predicate_value": 86.0, + "top_k": 11, + "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": 89.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b25a2518a949a148d9df94c485000b4695c9a756 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e7-e8d8-7233-857a-f5fe5eb3bf92"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15671. Please try again in 470ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_16\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_6\\\" AS REAL) >= 86.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_16\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned template with group_col=\\\"feature_4\\\", group_col_2=\\\"feature_16\\\", and predicate_col=\\\"feature_6\\\". Applied CAST(... AS REAL) in the filter because the schema stores feature columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15036,"cached_input_tokens":12032,"output_tokens":439,"reasoning_output_tokens":302}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32730b631180a25e7c42ed8526b70fe4cf768bb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_4\", \"feature_16\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_6\" AS REAL) >= 86.0\nGROUP BY \"feature_4\", \"feature_16\"\nORDER BY \"row_count\" DESC;","notes":"Used the planned template with group_col=\"feature_4\", group_col_2=\"feature_16\", and predicate_col=\"feature_6\". Applied CAST(... AS REAL) in the filter because the schema stores feature columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3a22063026c8b649b669b3555226244c15196e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/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=feature_4, group_col_2=feature_16. +Result preview: [{"feature_4": "100", "feature_16": "0", "row_count": 627}, {"feature_4": "100", "feature_16": "1", "row_count": 54}, {"feature_4": "100", "feature_16": "2", "row_count": 54}, {"feature_4": "100", "feature_16": "3", "row_count": 51}, {"feature_4": "100", "feature_16": "5", "row_count": 46}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a893b552e3d9ffc7a2a86d4d7d3a2bb67cbe1ceb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- 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_n9_5be208a8a0379c86 +-- problem_id: v2p_n9_5c34dbc4543cdda9 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_4", "feature_16", COUNT(*) AS "row_count" +FROM "n9" +WHERE CAST("feature_6" AS REAL) >= 86.0 +GROUP BY "feature_4", "feature_16" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b6c04630531c6b05ff1ea563debbaef351fa44f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/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 \"feature_4\", \"feature_16\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_6\" AS REAL) >= 86.0\nGROUP BY \"feature_4\", \"feature_16\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_16\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_6\\\" AS REAL) >= 86.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_16\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"feature_4\", \"feature_16\", \"row_count\"], \"rows\": [{\"feature_4\": \"100\", \"feature_16\": \"0\", \"row_count\": 627}, {\"feature_4\": \"100\", \"feature_16\": \"1\", \"row_count\": 54}, {\"feature_4\": \"100\", \"feature_16\": \"2\", \"row_count\": 54}, {\"feature_4\": \"100\", \"feature_16\": \"3\", \"row_count\": 51}, {\"feature_4\": \"100\", \"feature_16\": \"5\", \"row_count\": 46}, {\"feature_4\": \"77\", \"feature_16\": \"0\", \"row_count\": 43}, {\"feature_4\": \"100\", \"feature_16\": \"6\", \"row_count\": 42}, {\"feature_4\": \"74\", \"feature_16\": \"0\", \"row_count\": 41}, {\"feature_4\": \"81\", \"feature_16\": \"0\", \"row_count\": 39}, {\"feature_4\": \"98\", \"feature_16\": \"0\", \"row_count\": 38}, {\"feature_4\": \"80\", \"feature_16\": \"0\", \"row_count\": 35}, {\"feature_4\": \"73\", \"feature_16\": \"0\", \"row_count\": 34}, {\"feature_4\": \"75\", \"feature_16\": \"0\", \"row_count\": 34}, {\"feature_4\": \"79\", \"feature_16\": \"0\", \"row_count\": 34}, {\"feature_4\": \"100\", \"feature_16\": \"4\", \"row_count\": 33}, {\"feature_4\": \"76\", \"feature_16\": \"0\", \"row_count\": 33}, {\"feature_4\": \"99\", \"feature_16\": \"0\", \"row_count\": 33}, {\"feature_4\": \"78\", \"feature_16\": \"0\", \"row_count\": 31}, {\"feature_4\": \"100\", \"feature_16\": \"8\", \"row_count\": 30}, {\"feature_4\": \"68\", \"feature_16\": \"0\", \"row_count\": 30}, {\"feature_4\": \"82\", \"feature_16\": \"0\", \"row_count\": 30}, {\"feature_4\": \"83\", \"feature_16\": \"0\", \"row_count\": 30}, {\"feature_4\": \"84\", \"feature_16\": \"0\", \"row_count\": 30}, {\"feature_4\": \"96\", \"feature_16\": \"0\", \"row_count\": 30}, {\"feature_4\": \"100\", \"feature_16\": \"12\", \"row_count\": 29}, {\"feature_4\": \"71\", \"feature_16\": \"0\", \"row_count\": 29}, {\"feature_4\": \"97\", \"feature_16\": \"0\", \"row_count\": 29}, {\"feature_4\": \"72\", \"feature_16\": \"0\", \"row_count\": 26}, {\"feature_4\": \"69\", \"feature_16\": \"0\", \"row_count\": 25}, {\"feature_4\": \"70\", \"feature_16\": \"0\", \"row_count\": 25}, {\"feature_4\": \"100\", \"feature_16\": \"11\", \"row_count\": 24}, {\"feature_4\": \"100\", \"feature_16\": \"13\", \"row_count\": 23}, {\"feature_4\": \"66\", \"feature_16\": \"0\", \"row_count\": 22}, {\"feature_4\": \"85\", \"feature_16\": \"0\", \"row_count\": 22}, {\"feature_4\": \"95\", \"feature_16\": \"0\", \"row_count\": 22}, {\"feature_4\": \"100\", \"feature_16\": \"38\", \"row_count\": 21}, {\"feature_4\": \"100\", \"feature_16\": \"7\", \"row_count\": 20}, {\"feature_4\": \"100\", \"feature_16\": \"9\", \"row_count\": 20}, {\"feature_4\": \"91\", \"feature_16\": \"0\", \"row_count\": 19}, {\"feature_4\": \"100\", \"feature_16\": \"10\", \"row_count\": 17}, {\"feature_4\": \"100\", \"feature_16\": \"14\", \"row_count\": 17}, {\"feature_4\": \"100\", \"feature_16\": \"17\", \"row_count\": 17}, {\"feature_4\": \"86\", \"feature_16\": \"0\", \"row_count\": 17}, {\"feature_4\": \"93\", \"feature_16\": \"0\", \"row_count\": 17}, {\"feature_4\": \"94\", \"feature_16\": \"0\", \"row_count\": 17}, {\"feature_4\": \"92\", \"feature_16\": \"0\", \"row_count\": 16}, {\"feature_4\": \"100\", \"feature_16\": \"15\", \"row_count\": 15}, {\"feature_4\": \"100\", \"feature_16\": \"32\", \"row_count\": 15}, {\"feature_4\": \"100\", \"feature_16\": \"16\", \"row_count\": 14}, {\"feature_4\": \"100\", \"feature_16\": \"19\", \"row_count\": 14}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.25}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..10a1a3425f9b577d5d9c9d03ff444f2d14ecfe2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:43:20.532439+00:00", + "ended_at": "2026-05-19T15:43:37.164603+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_5be208a8a0379c86", + "problem_id": "v2p_n9_5c34dbc4543cdda9", + "dataset_id": "n9", + "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=feature_4, group_col_2=feature_16.", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_16", + "predicate_col": "feature_6", + "predicate_op": ">=", + "predicate_value": 86.0, + "top_k": 11, + "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": 89.0, + "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=9", + "sql_variant_index=1/1", + "binding_index=56" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_5be208a8a0379c86.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5be208a8a0379c86", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 439, + "total_tokens": 15475, + "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": 16624.57, + "sql_execution_elapsed_ms_total": 3.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..edef14ddf9a1e8fcf9d755e953cba54ca44e33b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:37.159972+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16624.57, "started_at": "2026-05-19T15:43:20.534473+00:00", "ended_at": "2026-05-19T15:43:37.159075+00:00", "prompt_metrics": {"chars": 9703, "bytes_utf8": 9703, "lines": 304, "estimated_tokens": null}, "response_metrics": {"chars": 465, "bytes_utf8": 465, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 12032, "output_tokens": 439, "reasoning_output_tokens": 302}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_16\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_6\\\" AS REAL) >= 86.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_16\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned template with group_col=\\\"feature_4\\\", group_col_2=\\\"feature_16\\\", and predicate_col=\\\"feature_6\\\". Applied CAST(... AS REAL) in the filter because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d0c927a0e652fcdd71cc665c843a6ece3501fc01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5be208a8a0379c86", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 439, + "total_tokens": 15475, + "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": 16624.57, + "sql_execution_elapsed_ms_total": 3.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5be208a8a0379c86/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..996aa3091d7e7da428f98a2b90631d5877c58333 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9702, "bytes_utf8": 9702, "lines": 304, "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": 548, "bytes_utf8": 548, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 13696, "output_tokens": 1026, "reasoning_output_tokens": 869}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..889a64d12fb92dcde65ec86855b145665f831e30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5c320426b90027c6", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 1026, + "total_tokens": 16062, + "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": 20482.24, + "sql_execution_elapsed_ms_total": 6.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1423dc8e5e4149c43a0a000a124e97543effc0bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/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": "2026-05-19T15:43:00.039114+00:00", + "ended_at": "2026-05-19T15:43:20.521385+00:00", + "elapsed_ms": 20482.24, + "prompt_metrics": { + "chars": 9702, + "bytes_utf8": 9702, + "lines": 304, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 925, + "bytes_utf8": 925, + "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": 548, + "bytes_utf8": 548, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 1026, + "reasoning_output_tokens": 869 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0e7f2ec1235ece10c9eda8a9041c5dbf0e1cab6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,304 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=feature_4, group_col_2=feature_15.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_15", + "predicate_col": "feature_5", + "predicate_op": ">=", + "predicate_value": 78.0, + "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": 64.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7ab8dc84888f7243d9722a61592d65da7cc5c3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-98dd-7711-b41e-8b401673cfba"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_15\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_5\\\" AS REAL) >= 78.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_15\\\"\\nORDER BY \\\"row_count\\\" DESC\\nLIMIT 6;\",\"notes\":\"Uses the provided filtered two-dimensional group count template with \\\"feature_4\\\" and \\\"feature_15\\\" as grouping columns and \\\"feature_5\\\" >= 78.0 as the filter. CAST is used because the feature columns are stored as TEXT in SQLite, and LIMIT 6 follows the provided top_n binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15036,"cached_input_tokens":13696,"output_tokens":1026,"reasoning_output_tokens":869}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..51ae78445c476f64ca06c4f34097ec0eecfd438a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"feature_4\", \"feature_15\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_5\" AS REAL) >= 78.0\nGROUP BY \"feature_4\", \"feature_15\"\nORDER BY \"row_count\" DESC\nLIMIT 6;","notes":"Uses the provided filtered two-dimensional group count template with \"feature_4\" and \"feature_15\" as grouping columns and \"feature_5\" >= 78.0 as the filter. CAST is used because the feature columns are stored as TEXT in SQLite, and LIMIT 6 follows the provided top_n binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5afcfd8b7ee72dbf167cd91c5ef3a43d13c3408 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/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=feature_4, group_col_2=feature_15. +Result preview: [{"feature_4": "100", "feature_15": "0", "row_count": 810}, {"feature_4": "100", "feature_15": "100", "row_count": 452}, {"feature_4": "99", "feature_15": "0", "row_count": 19}, {"feature_4": "100", "feature_15": "88", "row_count": 15}, {"feature_4": "100", "feature_15": "92", "row_count": 15}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b69aa71361203a8455425d395b629696c6e19d6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- 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_n9_5c320426b90027c6 +-- problem_id: v2p_n9_bc15a2e46a1322ed +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_4", "feature_15", COUNT(*) AS "row_count" +FROM "n9" +WHERE CAST("feature_5" AS REAL) >= 78.0 +GROUP BY "feature_4", "feature_15" +ORDER BY "row_count" DESC +LIMIT 6; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..812aa74f03ba7d5f14d118009e9014c01afdf7b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/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 \"feature_4\", \"feature_15\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_5\" AS REAL) >= 78.0\nGROUP BY \"feature_4\", \"feature_15\"\nORDER BY \"row_count\" DESC\nLIMIT 6;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_15\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_5\\\" AS REAL) >= 78.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_15\\\"\\nORDER BY \\\"row_count\\\" DESC\\nLIMIT 6;\", \"columns\": [\"feature_4\", \"feature_15\", \"row_count\"], \"rows\": [{\"feature_4\": \"100\", \"feature_15\": \"0\", \"row_count\": 810}, {\"feature_4\": \"100\", \"feature_15\": \"100\", \"row_count\": 452}, {\"feature_4\": \"99\", \"feature_15\": \"0\", \"row_count\": 19}, {\"feature_4\": \"100\", \"feature_15\": \"88\", \"row_count\": 15}, {\"feature_4\": \"100\", \"feature_15\": \"92\", \"row_count\": 15}, {\"feature_4\": \"98\", \"feature_15\": \"0\", \"row_count\": 15}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..093d5c60c33257f5866377eab62d241db3ccef2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:43:00.037971+00:00", + "ended_at": "2026-05-19T15:43:20.531518+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_5c320426b90027c6", + "problem_id": "v2p_n9_bc15a2e46a1322ed", + "dataset_id": "n9", + "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=feature_4, group_col_2=feature_15.", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_15", + "predicate_col": "feature_5", + "predicate_op": ">=", + "predicate_value": 78.0, + "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": 64.0, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_5c320426b90027c6.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5c320426b90027c6", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 1026, + "total_tokens": 16062, + "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": 20482.24, + "sql_execution_elapsed_ms_total": 6.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dae7f5e8e9a2f0ded6ea947dd5d924eaa4604ea5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:20.522588+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20482.24, "started_at": "2026-05-19T15:43:00.039114+00:00", "ended_at": "2026-05-19T15:43:20.521385+00:00", "prompt_metrics": {"chars": 9702, "bytes_utf8": 9702, "lines": 304, "estimated_tokens": null}, "response_metrics": {"chars": 548, "bytes_utf8": 548, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 13696, "output_tokens": 1026, "reasoning_output_tokens": 869}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_15\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_5\\\" AS REAL) >= 78.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_15\\\"\\nORDER BY \\\"row_count\\\" DESC\\nLIMIT 6;\",\"notes\":\"Uses the provided filtered two-dimensional group count template with \\\"feature_4\\\" and \\\"feature_15\\\" as grouping columns and \\\"feature_5\\\" >= 78.0 as the filter. CAST is used because the feature columns are stored as TEXT in SQLite, and LIMIT 6 follows the provided top_n binding.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d3e53358529f039b4b67e94d68491e028667ef1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5c320426b90027c6", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 1026, + "total_tokens": 16062, + "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": 20482.24, + "sql_execution_elapsed_ms_total": 6.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c320426b90027c6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8fba873a156500c850e73cebed9db7a24958b3fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_2, condition_col=class. +Result preview: [{"feature_2": "68", "condition_rate": 0.3425925925925926}, {"feature_2": "69", "condition_rate": 0.33043478260869563}, {"feature_2": "75", "condition_rate": 0.3167701863354037}, {"feature_2": "74", "condition_rate": 0.3142857142857143}, {"feature_2": "79", "condition_rate": 0.2994011976047904}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..57fab840f3f4909352f53f17aee5bda04029279a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_5c5f89dd28c2e8ae +-- problem_id: v2p_n9_f59eacc1e9d72505 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_2", + AVG(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS condition_rate +FROM "n9" +GROUP BY "feature_2" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a8c3bd00bdbb65e7f379490124cd619652db9c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/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_group_condition_rate\nSELECT \"feature_2\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_2\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_2\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"feature_2\", \"condition_rate\"], \"rows\": [{\"feature_2\": \"68\", \"condition_rate\": 0.3425925925925926}, {\"feature_2\": \"69\", \"condition_rate\": 0.33043478260869563}, {\"feature_2\": \"75\", \"condition_rate\": 0.3167701863354037}, {\"feature_2\": \"74\", \"condition_rate\": 0.3142857142857143}, {\"feature_2\": \"79\", \"condition_rate\": 0.2994011976047904}, {\"feature_2\": \"72\", \"condition_rate\": 0.29850746268656714}, {\"feature_2\": \"71\", \"condition_rate\": 0.29850746268656714}, {\"feature_2\": \"76\", \"condition_rate\": 0.29069767441860467}, {\"feature_2\": \"78\", \"condition_rate\": 0.285}, {\"feature_2\": \"66\", \"condition_rate\": 0.2807017543859649}, {\"feature_2\": \"70\", \"condition_rate\": 0.2627118644067797}, {\"feature_2\": \"80\", \"condition_rate\": 0.25}, {\"feature_2\": \"73\", \"condition_rate\": 0.2331288343558282}, {\"feature_2\": \"67\", \"condition_rate\": 0.23076923076923078}, {\"feature_2\": \"65\", \"condition_rate\": 0.22772277227722773}, {\"feature_2\": \"77\", \"condition_rate\": 0.22285714285714286}, {\"feature_2\": \"63\", \"condition_rate\": 0.21649484536082475}, {\"feature_2\": \"64\", \"condition_rate\": 0.1958762886597938}, {\"feature_2\": \"82\", \"condition_rate\": 0.18220338983050846}, {\"feature_2\": \"81\", \"condition_rate\": 0.18055555555555555}, {\"feature_2\": \"59\", \"condition_rate\": 0.17307692307692307}, {\"feature_2\": \"58\", \"condition_rate\": 0.15217391304347827}, {\"feature_2\": \"83\", \"condition_rate\": 0.15023474178403756}, {\"feature_2\": \"62\", \"condition_rate\": 0.14492753623188406}, {\"feature_2\": \"61\", \"condition_rate\": 0.14492753623188406}, {\"feature_2\": \"85\", \"condition_rate\": 0.14285714285714285}, {\"feature_2\": \"84\", \"condition_rate\": 0.13658536585365855}, {\"feature_2\": \"88\", \"condition_rate\": 0.13385826771653545}, {\"feature_2\": \"56\", \"condition_rate\": 0.11904761904761904}, {\"feature_2\": \"86\", \"condition_rate\": 0.10775862068965517}, {\"feature_2\": \"60\", \"condition_rate\": 0.09836065573770492}, {\"feature_2\": \"49\", \"condition_rate\": 0.09523809523809523}, {\"feature_2\": \"57\", \"condition_rate\": 0.09090909090909091}, {\"feature_2\": \"53\", \"condition_rate\": 0.08571428571428572}, {\"feature_2\": \"90\", \"condition_rate\": 0.0842911877394636}, {\"feature_2\": \"87\", \"condition_rate\": 0.08144796380090498}, {\"feature_2\": \"89\", \"condition_rate\": 0.0778688524590164}, {\"feature_2\": \"51\", \"condition_rate\": 0.07142857142857142}, {\"feature_2\": \"91\", \"condition_rate\": 0.06563706563706563}, {\"feature_2\": \"37\", \"condition_rate\": 0.058823529411764705}, {\"feature_2\": \"95\", \"condition_rate\": 0.05555555555555555}, {\"feature_2\": \"92\", \"condition_rate\": 0.05531914893617021}, {\"feature_2\": \"93\", \"condition_rate\": 0.04897959183673469}, {\"feature_2\": \"48\", \"condition_rate\": 0.047619047619047616}, {\"feature_2\": \"54\", \"condition_rate\": 0.046511627906976744}, {\"feature_2\": \"55\", \"condition_rate\": 0.03636363636363636}, {\"feature_2\": \"98\", \"condition_rate\": 0.029556650246305417}, {\"feature_2\": \"52\", \"condition_rate\": 0.029411764705882353}, {\"feature_2\": \"96\", \"condition_rate\": 0.02834008097165992}, {\"feature_2\": \"97\", \"condition_rate\": 0.027649769585253458}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f34eb731e71d85fb2d5bae6f8b9fd797ee6a881a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:03:24.674617+00:00", + "ended_at": "2026-05-19T16:03:35.540547+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_5c5f89dd28c2e8ae", + "problem_id": "v2p_n9_f59eacc1e9d72505", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_2, condition_col=class.", + "bindings": { + "group_col": "feature_2", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 64.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_5c5f89dd28c2e8ae.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5c5f89dd28c2e8ae", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 387, + "total_tokens": 15384, + "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": 10853.89, + "sql_execution_elapsed_ms_total": 7.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9454a12e2d0fd06fbc82b872f59b9430574e8ea1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:35.531271+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10853.89, "started_at": "2026-05-19T16:03:24.676379+00:00", "ended_at": "2026-05-19T16:03:35.530300+00:00", "prompt_metrics": {"chars": 9617, "bytes_utf8": 9617, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 388, "bytes_utf8": 388, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 387, "reasoning_output_tokens": 276}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_2\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_2\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with \\\"feature_2\\\" as the grouping column and the rate of rows where \\\"class\\\" = '2' as the condition metric.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a1c8c37b28c4fcb306f4e00a064245329d3db217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_5c5f89dd28c2e8ae", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 387, + "total_tokens": 15384, + "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": 10853.89, + "sql_execution_elapsed_ms_total": 7.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5c5f89dd28c2e8ae/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eae7fb106fd87fe628ee983b1675227d1e0c25f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/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": "2026-05-19T16:01:28.208556+00:00", + "ended_at": "2026-05-19T16:01:31.619938+00:00", + "elapsed_ms": 3411.35, + "returncode": 1, + "prompt_metrics": { + "chars": 9627, + "bytes_utf8": 9627, + "lines": 303, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..995eccbd0d1841ddf012f715362eac6382b299ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/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": "2026-05-19T16:01:32.622365+00:00", + "ended_at": "2026-05-19T16:01:35.819587+00:00", + "elapsed_ms": 3197.18, + "returncode": 1, + "prompt_metrics": { + "chars": 9627, + "bytes_utf8": 9627, + "lines": 303, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a84e5ae060231f6ab2f894712dbde7d9f58aa8be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-818a-7b33-af6e-761e60de7557"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..86752281447b22738c75e07d953a11e70842ac39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-92cc-73d2-9623-a40a307c4ceb"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_5e876f335ec08f66/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bdbb53a261ef55bb2cf6c31b06fb53667f7f2c0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_5, measure_col=feature_9. +Result preview: [{"feature_5": "0", "group_value": 130308.0}, {"feature_5": "100", "group_value": 60708.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..de4610e662398b0d84d46fbee3512618ede501a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_62fea1f2a060f22d +-- problem_id: v2p_n9_1bf65e2680b76f84 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "feature_5", SUM(CAST("feature_9" AS REAL)) AS "group_value" + FROM "n9" + GROUP BY "feature_5" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."feature_5", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae0fdfc833b884d0c20d5166907bf8c030fb1a14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/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_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"feature_5\", SUM(CAST(\"feature_9\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_5\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"feature_5\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"feature_5\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"feature_5\", \"group_value\"], \"rows\": [{\"feature_5\": \"0\", \"group_value\": 130308.0}, {\"feature_5\": \"100\", \"group_value\": 60708.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0d0175beb365a55d73f667cabe6a4754925e6872 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:46:25.316973+00:00", + "ended_at": "2026-05-19T15:46:38.970601+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_62fea1f2a060f22d", + "problem_id": "v2p_n9_1bf65e2680b76f84", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_5, measure_col=feature_9.", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_9", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_62fea1f2a060f22d.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_62fea1f2a060f22d", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 12032, + "output_tokens": 661, + "total_tokens": 15739, + "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": 13640.63, + "sql_execution_elapsed_ms_total": 7.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f4a011d3d7411bf8b735a7adcb2a1205168973c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:38.960284+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13640.63, "started_at": "2026-05-19T15:46:25.318164+00:00", "ended_at": "2026-05-19T15:46:38.958838+00:00", "prompt_metrics": {"chars": 9946, "bytes_utf8": 9946, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 693, "bytes_utf8": 693, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 12032, "output_tokens": 661, "reasoning_output_tokens": 460}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"feature_5\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"feature_5\\\" and measure_col=\\\"feature_9\\\". CAST to REAL is included because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..16a929ff13ff3cacd5758a00c988db1178b569f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_62fea1f2a060f22d", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 12032, + "output_tokens": 661, + "total_tokens": 15739, + "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": 13640.63, + "sql_execution_elapsed_ms_total": 7.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_62fea1f2a060f22d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7bcffa9dd82a7ffa9648a76a986e47ed443b765 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/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=feature_4, group_col_2=feature_13. +Result preview: [{"feature_4": "100", "feature_13": "50", "row_count": 106}, {"feature_4": "100", "feature_13": "51", "row_count": 64}, {"feature_4": "100", "feature_13": "49", "row_count": 63}, {"feature_4": "100", "feature_13": "48", "row_count": 58}, {"feature_4": "100", "feature_13": "41", "row_count": 56}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dd9855c54b5f7a8d6ec5f18ee025ba57330bb344 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- 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_n9_64b9f2eb7d353f2e +-- problem_id: v2p_n9_84db75e47d9a4f7b +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_4", "feature_13", COUNT(*) AS "row_count" +FROM "n9" +WHERE CAST("feature_3" AS REAL) >= 58.0 +GROUP BY "feature_4", "feature_13" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ee9fa8d667428273968c9af7af3c68cfb7c4e83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/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 \"feature_4\", \"feature_13\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_3\" AS REAL) >= 58.0\nGROUP BY \"feature_4\", \"feature_13\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_13\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_3\\\" AS REAL) >= 58.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_13\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"feature_4\", \"feature_13\", \"row_count\"], \"rows\": [{\"feature_4\": \"100\", \"feature_13\": \"50\", \"row_count\": 106}, {\"feature_4\": \"100\", \"feature_13\": \"51\", \"row_count\": 64}, {\"feature_4\": \"100\", \"feature_13\": \"49\", \"row_count\": 63}, {\"feature_4\": \"100\", \"feature_13\": \"48\", \"row_count\": 58}, {\"feature_4\": \"100\", \"feature_13\": \"41\", \"row_count\": 56}, {\"feature_4\": \"100\", \"feature_13\": \"52\", \"row_count\": 55}, {\"feature_4\": \"100\", \"feature_13\": \"0\", \"row_count\": 54}, {\"feature_4\": \"100\", \"feature_13\": \"47\", \"row_count\": 51}, {\"feature_4\": \"100\", \"feature_13\": \"38\", \"row_count\": 50}, {\"feature_4\": \"100\", \"feature_13\": \"42\", \"row_count\": 45}, {\"feature_4\": \"100\", \"feature_13\": \"45\", \"row_count\": 45}, {\"feature_4\": \"100\", \"feature_13\": \"46\", \"row_count\": 45}, {\"feature_4\": \"100\", \"feature_13\": \"37\", \"row_count\": 44}, {\"feature_4\": \"100\", \"feature_13\": \"39\", \"row_count\": 42}, {\"feature_4\": \"100\", \"feature_13\": \"54\", \"row_count\": 42}, {\"feature_4\": \"100\", \"feature_13\": \"53\", \"row_count\": 41}, {\"feature_4\": \"100\", \"feature_13\": \"36\", \"row_count\": 40}, {\"feature_4\": \"100\", \"feature_13\": \"43\", \"row_count\": 40}, {\"feature_4\": \"100\", \"feature_13\": \"56\", \"row_count\": 39}, {\"feature_4\": \"100\", \"feature_13\": \"40\", \"row_count\": 37}, {\"feature_4\": \"100\", \"feature_13\": \"44\", \"row_count\": 37}, {\"feature_4\": \"100\", \"feature_13\": \"35\", \"row_count\": 36}, {\"feature_4\": \"100\", \"feature_13\": \"55\", \"row_count\": 31}, {\"feature_4\": \"100\", \"feature_13\": \"58\", \"row_count\": 31}, {\"feature_4\": \"100\", \"feature_13\": \"60\", \"row_count\": 31}, {\"feature_4\": \"100\", \"feature_13\": \"34\", \"row_count\": 28}, {\"feature_4\": \"100\", \"feature_13\": \"33\", \"row_count\": 27}, {\"feature_4\": \"100\", \"feature_13\": \"57\", \"row_count\": 26}, {\"feature_4\": \"100\", \"feature_13\": \"32\", \"row_count\": 22}, {\"feature_4\": \"100\", \"feature_13\": \"64\", \"row_count\": 19}, {\"feature_4\": \"100\", \"feature_13\": \"59\", \"row_count\": 18}, {\"feature_4\": \"100\", \"feature_13\": \"100\", \"row_count\": 17}, {\"feature_4\": \"100\", \"feature_13\": \"61\", \"row_count\": 17}, {\"feature_4\": \"100\", \"feature_13\": \"63\", \"row_count\": 17}, {\"feature_4\": \"100\", \"feature_13\": \"29\", \"row_count\": 15}, {\"feature_4\": \"100\", \"feature_13\": \"31\", \"row_count\": 15}, {\"feature_4\": \"100\", \"feature_13\": \"62\", \"row_count\": 15}, {\"feature_4\": \"100\", \"feature_13\": \"66\", \"row_count\": 15}, {\"feature_4\": \"100\", \"feature_13\": \"26\", \"row_count\": 14}, {\"feature_4\": \"100\", \"feature_13\": \"30\", \"row_count\": 14}, {\"feature_4\": \"100\", \"feature_13\": \"68\", \"row_count\": 14}, {\"feature_4\": \"100\", \"feature_13\": \"67\", \"row_count\": 13}, {\"feature_4\": \"100\", \"feature_13\": \"28\", \"row_count\": 12}, {\"feature_4\": \"100\", \"feature_13\": \"25\", \"row_count\": 11}, {\"feature_4\": \"100\", \"feature_13\": \"27\", \"row_count\": 11}, {\"feature_4\": \"100\", \"feature_13\": \"72\", \"row_count\": 10}, {\"feature_4\": \"100\", \"feature_13\": \"65\", \"row_count\": 9}, {\"feature_4\": \"100\", \"feature_13\": \"78\", \"row_count\": 9}, {\"feature_4\": \"100\", \"feature_13\": \"11\", \"row_count\": 8}, {\"feature_4\": \"100\", \"feature_13\": \"24\", \"row_count\": 8}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f1990aad4a3934b8340eaff61ea88d3fee803e0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:42:33.032310+00:00", + "ended_at": "2026-05-19T15:42:44.837753+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_64b9f2eb7d353f2e", + "problem_id": "v2p_n9_84db75e47d9a4f7b", + "dataset_id": "n9", + "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=feature_4, group_col_2=feature_13.", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_13", + "predicate_col": "feature_3", + "predicate_op": ">=", + "predicate_value": 58.0, + "top_k": 13, + "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": 86.0, + "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=6", + "sql_variant_index=1/1", + "binding_index=53" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_64b9f2eb7d353f2e.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_64b9f2eb7d353f2e", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 528, + "total_tokens": 15564, + "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": 11797.77, + "sql_execution_elapsed_ms_total": 4.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1ab5d9b171ff9014e6f99f539303c6acea34ccf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:44.832150+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11797.77, "started_at": "2026-05-19T15:42:33.033466+00:00", "ended_at": "2026-05-19T15:42:44.831264+00:00", "prompt_metrics": {"chars": 9702, "bytes_utf8": 9702, "lines": 304, "estimated_tokens": null}, "response_metrics": {"chars": 478, "bytes_utf8": 478, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 13696, "output_tokens": 528, "reasoning_output_tokens": 385}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_13\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_3\\\" AS REAL) >= 58.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_13\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided template with group columns bound to \\\"feature_4\\\" and \\\"feature_13\\\" and predicate bound to \\\"feature_3\\\" >= 58.0. Casted \\\"feature_3\\\" to REAL because the SQLite schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6bf2980fa363dde08c576f2d93c2235c07ce50a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_64b9f2eb7d353f2e", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 528, + "total_tokens": 15564, + "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": 11797.77, + "sql_execution_elapsed_ms_total": 4.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_64b9f2eb7d353f2e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9b38a7b179b4419632410c43949bf7f3ac5c728 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "100", "support": 1764, "support_share": 0.16048034934497818, "support_rank": 1}, {"value_label": "0", "support": 1028, "support_share": 0.09352256186317322, "support_rank": 2}, {"value_label": "84", "support": 127, "support_share": 0.011553857350800582, "support_rank": 3}, {"value_label": "88", "support": 124, "support_share": 0.011280931586608443, "support_rank": 4}, {"value_label": "71", "support": 113, "support_share": 0.010280203784570598, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..baead257bad25be0836ecf2bf7387ec603688b6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n9_669793c2a10d1d63 +-- problem_id: v2p_n9_d605285577a01e2b +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_9" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_9" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..265007bcd4f95c08899e201ae5a395b55c70f822 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n9_669793c2a10d1d63\n-- problem_id: v2p_n9_d605285577a01e2b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_9\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_9\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n9_669793c2a10d1d63\\n-- problem_id: v2p_n9_d605285577a01e2b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_9\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"100\", \"support\": 1764, \"support_share\": 0.16048034934497818, \"support_rank\": 1}, {\"value_label\": \"0\", \"support\": 1028, \"support_share\": 0.09352256186317322, \"support_rank\": 2}, {\"value_label\": \"84\", \"support\": 127, \"support_share\": 0.011553857350800582, \"support_rank\": 3}, {\"value_label\": \"88\", \"support\": 124, \"support_share\": 0.011280931586608443, \"support_rank\": 4}, {\"value_label\": \"71\", \"support\": 113, \"support_share\": 0.010280203784570598, \"support_rank\": 5}, {\"value_label\": \"79\", \"support\": 113, \"support_share\": 0.010280203784570598, \"support_rank\": 6}, {\"value_label\": \"94\", \"support\": 113, \"support_share\": 0.010280203784570598, \"support_rank\": 7}, {\"value_label\": \"41\", \"support\": 109, \"support_share\": 0.009916302765647743, \"support_rank\": 8}, {\"value_label\": \"60\", \"support\": 109, \"support_share\": 0.009916302765647743, \"support_rank\": 9}, {\"value_label\": \"82\", \"support\": 108, \"support_share\": 0.009825327510917031, \"support_rank\": 10}, {\"value_label\": \"85\", \"support\": 106, \"support_share\": 0.009643377001455605, \"support_rank\": 11}, {\"value_label\": \"95\", \"support\": 106, \"support_share\": 0.009643377001455605, \"support_rank\": 12}, {\"value_label\": \"77\", \"support\": 105, \"support_share\": 0.00955240174672489, \"support_rank\": 13}, {\"value_label\": \"42\", \"support\": 103, \"support_share\": 0.009370451237263464, \"support_rank\": 14}, {\"value_label\": \"78\", \"support\": 103, \"support_share\": 0.009370451237263464, \"support_rank\": 15}, {\"value_label\": \"62\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 16}, {\"value_label\": \"70\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 17}, {\"value_label\": \"81\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 18}, {\"value_label\": \"86\", \"support\": 101, \"support_share\": 0.009188500727802038, \"support_rank\": 19}, {\"value_label\": \"93\", \"support\": 101, \"support_share\": 0.009188500727802038, \"support_rank\": 20}, {\"value_label\": \"46\", \"support\": 99, \"support_share\": 0.009006550218340612, \"support_rank\": 21}, {\"value_label\": \"48\", \"support\": 99, \"support_share\": 0.009006550218340612, \"support_rank\": 22}, {\"value_label\": \"47\", \"support\": 98, \"support_share\": 0.008915574963609897, \"support_rank\": 23}, {\"value_label\": \"67\", \"support\": 98, \"support_share\": 0.008915574963609897, \"support_rank\": 24}, {\"value_label\": \"92\", \"support\": 98, \"support_share\": 0.008915574963609897, \"support_rank\": 25}, {\"value_label\": \"38\", \"support\": 97, \"support_share\": 0.008824599708879185, \"support_rank\": 26}, {\"value_label\": \"59\", \"support\": 97, \"support_share\": 0.008824599708879185, \"support_rank\": 27}, {\"value_label\": \"91\", \"support\": 97, \"support_share\": 0.008824599708879185, \"support_rank\": 28}, {\"value_label\": \"58\", \"support\": 96, \"support_share\": 0.008733624454148471, \"support_rank\": 29}, {\"value_label\": \"44\", \"support\": 95, \"support_share\": 0.008642649199417759, \"support_rank\": 30}, {\"value_label\": \"45\", \"support\": 95, \"support_share\": 0.008642649199417759, \"support_rank\": 31}, {\"value_label\": \"72\", \"support\": 95, \"support_share\": 0.008642649199417759, \"support_rank\": 32}, {\"value_label\": \"83\", \"support\": 95, \"support_share\": 0.008642649199417759, \"support_rank\": 33}, {\"value_label\": \"80\", \"support\": 94, \"support_share\": 0.008551673944687045, \"support_rank\": 34}, {\"value_label\": \"87\", \"support\": 94, \"support_share\": 0.008551673944687045, \"support_rank\": 35}, {\"value_label\": \"51\", \"support\": 93, \"support_share\": 0.008460698689956333, \"support_rank\": 36}, {\"value_label\": \"55\", \"support\": 93, \"support_share\": 0.008460698689956333, \"support_rank\": 37}, {\"value_label\": \"24\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 38}, {\"value_label\": \"89\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 39}, {\"value_label\": \"90\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 40}, {\"value_label\": \"73\", \"support\": 90, \"support_share\": 0.008187772925764192, \"support_rank\": 41}, {\"value_label\": \"75\", \"support\": 90, \"support_share\": 0.008187772925764192, \"support_rank\": 42}, {\"value_label\": \"37\", \"support\": 88, \"support_share\": 0.008005822416302766, \"support_rank\": 43}, {\"value_label\": \"43\", \"support\": 88, \"support_share\": 0.008005822416302766, \"support_rank\": 44}, {\"value_label\": \"66\", \"support\": 88, \"support_share\": 0.008005822416302766, \"support_rank\": 45}, {\"value_label\": \"96\", \"support\": 88, \"support_share\": 0.008005822416302766, \"support_rank\": 46}, {\"value_label\": \"40\", \"support\": 87, \"support_share\": 0.007914847161572052, \"support_rank\": 47}, {\"value_label\": \"49\", \"support\": 87, \"support_share\": 0.007914847161572052, \"support_rank\": 48}, {\"value_label\": \"61\", \"support\": 86, \"support_share\": 0.00782387190684134, \"support_rank\": 49}, {\"value_label\": \"36\", \"support\": 85, \"support_share\": 0.007732896652110626, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..38f2eab5542f4c7da7033036aad90fcac06ac0f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.817407+00:00", + "ended_at": "2026-05-19T16:10:15.822668+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_669793c2a10d1d63", + "problem_id": "v2p_n9_d605285577a01e2b", + "dataset_id": "n9", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=feature_9.", + "bindings": { + "group_col": "feature_9" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_669793c2a10d1d63.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_669793c2a10d1d63/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7ae3e639fa4bd2cce01abeda9dcb5f5d3c967037 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:08.632690+00:00", + "ended_at": "2026-05-19T16:10:15.711404+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_680b9d5a4e96dced", + "problem_id": "v2p_n9_64a64f8b9e09e3cf", + "dataset_id": "n9", + "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=feature_5, measure_col=feature_13.", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_13", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 61.0, + "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=9", + "sql_variant_index=2/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ae16abd6121700a31614ad08eb570cf61f21418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_680b9d5a4e96dced/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:11.790429+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3155.33, "started_at": "2026-05-19T16:10:08.634115+00:00", "ended_at": "2026-05-19T16:10:11.789470+00:00", "prompt_metrics": {"chars": 9476, "bytes_utf8": 9476, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-7297-7933-ba02-8c878fea3ad8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:15.711318+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2918.96, "started_at": "2026-05-19T16:10:12.791622+00:00", "ended_at": "2026-05-19T16:10:15.710612+00:00", "prompt_metrics": {"chars": 9476, "bytes_utf8": 9476, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-82b6-7792-b23c-6c1940c03d0f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4aefe0cb8bed2de63416c1c79124f37c1c74bc55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:06:05.592266+00:00", + "ended_at": "2026-05-19T16:06:14.750132+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_696a52af23046b64", + "problem_id": "v2p_n9_ad6ecc038f60ea0e", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_5.", + "bindings": { + "group_col": "feature_5", + "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": 55.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9bfe7265aa85ddbfff2fe2b0e3ddd2fe05671928 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696a52af23046b64/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:10.848188+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 5253.58, "started_at": "2026-05-19T16:06:05.593758+00:00", "ended_at": "2026-05-19T16:06:10.847366+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-bd0d-78f3-9b9d-6ef21573c861\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:14.749940+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2899.77, "started_at": "2026-05-19T16:06:11.849301+00:00", "ended_at": "2026-05-19T16:06:14.749111+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-d5aa-7d31-b941-1a84ecf29f34\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b74cf4fb5b990b9978d216390e1fca7b02141f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=class, measure_col=feature_5. +Result preview: [{"class": "1", "percentile_measure": 100.0}, {"class": "3", "percentile_measure": 100.0}, {"class": "7", "percentile_measure": 100.0}, {"class": "8", "percentile_measure": 100.0}, {"class": "9", "percentile_measure": 96.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d056b58545b4a3b7e838d90f0720869d419b60f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/generated_sql.sql @@ -0,0 +1,61 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_696c5d29dead1190 +-- problem_id: v2p_n9_39f42ed8ede56e7e +-- realization_mode: agent +-- source_kind: agent +WITH "__ordered" AS ( + SELECT + "class", + CAST("feature_5" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "class" + ORDER BY CAST("feature_5" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "class" + ) AS "cnt" + FROM "n9" + WHERE "class" IS NOT NULL + AND "feature_5" IS NOT NULL +), +"__positions" AS ( + SELECT + "class", + "measure_value", + "rn", + ((0.9 * ("cnt" - 1)) + 1.0) AS "pos", + CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) AS "lower_rn", + CASE + WHEN ((0.9 * ("cnt" - 1)) + 1.0) = CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + THEN CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + ELSE CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + 1 + END AS "upper_rn" + FROM "__ordered" +), +"__aggregated" AS ( + SELECT + "class", + MAX("pos") AS "pos", + MAX("lower_rn") AS "lower_rn", + MAX("upper_rn") AS "upper_rn", + MAX(CASE WHEN "rn" = "lower_rn" THEN "measure_value" END) AS "lower_value", + MAX(CASE WHEN "rn" = "upper_rn" THEN "measure_value" END) AS "upper_value" + FROM "__positions" + GROUP BY "class" +) +SELECT + "class", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "__aggregated" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bfc51b778af0dc8b0d8d48b5d0882dc61de86bf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/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_grouped_percentile_point\nWITH \"__ordered\" AS (\n SELECT\n \"class\",\n CAST(\"feature_5\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"class\"\n ORDER BY CAST(\"feature_5\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"class\"\n ) AS \"cnt\"\n FROM \"n9\"\n WHERE \"class\" IS NOT NULL\n AND \"feature_5\" IS NOT NULL\n),\n\"__positions\" AS (\n SELECT\n \"class\",\n \"measure_value\",\n \"rn\",\n ((0.9 * (\"cnt\" - 1)) + 1.0) AS \"pos\",\n CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ((0.9 * (\"cnt\" - 1)) + 1.0) = CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n THEN CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n ELSE CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"__ordered\"\n),\n\"__aggregated\" AS (\n SELECT\n \"class\",\n MAX(\"pos\") AS \"pos\",\n MAX(\"lower_rn\") AS \"lower_rn\",\n MAX(\"upper_rn\") AS \"upper_rn\",\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"measure_value\" END) AS \"upper_value\"\n FROM \"__positions\"\n GROUP BY \"class\"\n)\nSELECT\n \"class\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"__aggregated\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__ordered\\\" AS (\\n SELECT\\n \\\"class\\\",\\n CAST(\\\"feature_5\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"class\\\"\\n ORDER BY CAST(\\\"feature_5\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"class\\\" IS NOT NULL\\n AND \\\"feature_5\\\" IS NOT NULL\\n),\\n\\\"__positions\\\" AS (\\n SELECT\\n \\\"class\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n ELSE CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"__ordered\\\"\\n),\\n\\\"__aggregated\\\" AS (\\n SELECT\\n \\\"class\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\",\\n MAX(\\\"lower_rn\\\") AS \\\"lower_rn\\\",\\n MAX(\\\"upper_rn\\\") AS \\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"__positions\\\"\\n GROUP BY \\\"class\\\"\\n)\\nSELECT\\n \\\"class\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__aggregated\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"class\", \"percentile_measure\"], \"rows\": [{\"class\": \"1\", \"percentile_measure\": 100.0}, {\"class\": \"3\", \"percentile_measure\": 100.0}, {\"class\": \"7\", \"percentile_measure\": 100.0}, {\"class\": \"8\", \"percentile_measure\": 100.0}, {\"class\": \"9\", \"percentile_measure\": 96.0}, {\"class\": \"2\", \"percentile_measure\": 94.0}, {\"class\": \"5\", \"percentile_measure\": 91.0}, {\"class\": \"0\", \"percentile_measure\": 41.0}, {\"class\": \"6\", \"percentile_measure\": 40.0}, {\"class\": \"4\", \"percentile_measure\": 21.0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 36.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f4b2ff6013ef7e77917537612636ae89504c04e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:50:56.686525+00:00", + "ended_at": "2026-05-19T15:51:28.744687+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_696c5d29dead1190", + "problem_id": "v2p_n9_39f42ed8ede56e7e", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "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 Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=class, measure_col=feature_5.", + "bindings": { + "group_col": "class", + "measure_col": "feature_5", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 69.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_696c5d29dead1190.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_696c5d29dead1190", + "api_calls": 0, + "input_tokens": 14974, + "cached_input_tokens": 13696, + "output_tokens": 2128, + "total_tokens": 17102, + "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": 32017.02, + "sql_execution_elapsed_ms_total": 36.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a91c6face768414bc1127aa7ba73ba54a61adfe1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:28.706021+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 32017.02, "started_at": "2026-05-19T15:50:56.688172+00:00", "ended_at": "2026-05-19T15:51:28.705224+00:00", "prompt_metrics": {"chars": 9560, "bytes_utf8": 9560, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1823, "bytes_utf8": 1823, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14974, "cached_input_tokens": 13696, "output_tokens": 2128, "reasoning_output_tokens": 1520}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__ordered\\\" AS (\\n SELECT\\n \\\"class\\\",\\n CAST(\\\"feature_5\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"class\\\"\\n ORDER BY CAST(\\\"feature_5\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"class\\\" IS NOT NULL\\n AND \\\"feature_5\\\" IS NOT NULL\\n),\\n\\\"__positions\\\" AS (\\n SELECT\\n \\\"class\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n ELSE CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"__ordered\\\"\\n),\\n\\\"__aggregated\\\" AS (\\n SELECT\\n \\\"class\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\",\\n MAX(\\\"low"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9b914f6982a1cf9e5197db6026fedb8ff1702786 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_696c5d29dead1190", + "api_calls": 0, + "input_tokens": 14974, + "cached_input_tokens": 13696, + "output_tokens": 2128, + "total_tokens": 17102, + "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": 32017.02, + "sql_execution_elapsed_ms_total": 36.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_696c5d29dead1190/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b13a1751b256a854c07243a803ca196639c4b3c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_5, condition_col=class. +Result preview: [{"feature_5": "54", "condition_ratio": 32.0}, {"feature_5": "50", "condition_ratio": 27.0}, {"feature_5": "55", "condition_ratio": 27.0}, {"feature_5": "57", "condition_ratio": 27.0}, {"feature_5": "70", "condition_ratio": 24.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..58184bc89074c0697a3be1f1144090bf3ab0adbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n9_698d9795e0779fe2 +-- problem_id: v2p_n9_4597f25618fa6c5e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_5", + SUM(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count + FROM "n9" + GROUP BY "feature_5" +) +SELECT "feature_5", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0da7f3aa6d8c54da80b5e8e44a0bf7a8a9c45456 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/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_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_5\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_5\"\n)\nSELECT \"feature_5\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_5\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n)\\nSELECT \\\"feature_5\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"feature_5\", \"condition_ratio\"], \"rows\": [{\"feature_5\": \"54\", \"condition_ratio\": 32.0}, {\"feature_5\": \"50\", \"condition_ratio\": 27.0}, {\"feature_5\": \"55\", \"condition_ratio\": 27.0}, {\"feature_5\": \"57\", \"condition_ratio\": 27.0}, {\"feature_5\": \"70\", \"condition_ratio\": 24.0}, {\"feature_5\": \"64\", \"condition_ratio\": 19.0}, {\"feature_5\": \"78\", \"condition_ratio\": 18.0}, {\"feature_5\": \"41\", \"condition_ratio\": 6.0}, {\"feature_5\": \"44\", \"condition_ratio\": 3.5}, {\"feature_5\": \"45\", \"condition_ratio\": 3.0}, {\"feature_5\": \"43\", \"condition_ratio\": 2.6666666666666665}, {\"feature_5\": \"42\", \"condition_ratio\": 2.5}, {\"feature_5\": \"24\", \"condition_ratio\": 1.3333333333333333}, {\"feature_5\": \"35\", \"condition_ratio\": 1.3333333333333333}, {\"feature_5\": \"34\", \"condition_ratio\": 1.0}, {\"feature_5\": \"38\", \"condition_ratio\": 1.0}, {\"feature_5\": \"40\", \"condition_ratio\": 0.8571428571428571}, {\"feature_5\": \"31\", \"condition_ratio\": 0.75}, {\"feature_5\": \"27\", \"condition_ratio\": 0.6666666666666666}, {\"feature_5\": \"36\", \"condition_ratio\": 0.6666666666666666}, {\"feature_5\": \"29\", \"condition_ratio\": 0.6}, {\"feature_5\": \"37\", \"condition_ratio\": 0.5714285714285714}, {\"feature_5\": \"30\", \"condition_ratio\": 0.5}, {\"feature_5\": \"39\", \"condition_ratio\": 0.5}, {\"feature_5\": \"26\", \"condition_ratio\": 0.2}, {\"feature_5\": \"33\", \"condition_ratio\": 0.2}, {\"feature_5\": \"32\", \"condition_ratio\": 0.16666666666666666}, {\"feature_5\": \"25\", \"condition_ratio\": 0.14285714285714285}, {\"feature_5\": \"18\", \"condition_ratio\": 0.07142857142857142}, {\"feature_5\": \"19\", \"condition_ratio\": 0.0625}, {\"feature_5\": \"0\", \"condition_ratio\": 0.0}, {\"feature_5\": \"1\", \"condition_ratio\": 0.0}, {\"feature_5\": \"10\", \"condition_ratio\": 0.0}, {\"feature_5\": \"11\", \"condition_ratio\": 0.0}, {\"feature_5\": \"12\", \"condition_ratio\": 0.0}, {\"feature_5\": \"13\", \"condition_ratio\": 0.0}, {\"feature_5\": \"14\", \"condition_ratio\": 0.0}, {\"feature_5\": \"15\", \"condition_ratio\": 0.0}, {\"feature_5\": \"16\", \"condition_ratio\": 0.0}, {\"feature_5\": \"17\", \"condition_ratio\": 0.0}, {\"feature_5\": \"2\", \"condition_ratio\": 0.0}, {\"feature_5\": \"20\", \"condition_ratio\": 0.0}, {\"feature_5\": \"21\", \"condition_ratio\": 0.0}, {\"feature_5\": \"22\", \"condition_ratio\": 0.0}, {\"feature_5\": \"23\", \"condition_ratio\": 0.0}, {\"feature_5\": \"28\", \"condition_ratio\": 0.0}, {\"feature_5\": \"3\", \"condition_ratio\": 0.0}, {\"feature_5\": \"4\", \"condition_ratio\": 0.0}, {\"feature_5\": \"5\", \"condition_ratio\": 0.0}, {\"feature_5\": \"6\", \"condition_ratio\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3b7bdf434ecd35854bffe4b22640e6407fba6183 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:40:01.902106+00:00", + "ended_at": "2026-05-19T15:40:13.583522+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_698d9795e0779fe2", + "problem_id": "v2p_n9_4597f25618fa6c5e", + "dataset_id": "n9", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_5, condition_col=class.", + "bindings": { + "group_col": "feature_5", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=38" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_698d9795e0779fe2.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_698d9795e0779fe2", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 0, + "output_tokens": 610, + "total_tokens": 15755, + "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": 11667.39, + "sql_execution_elapsed_ms_total": 9.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..270673aa8f17553c7db169e5cf68d30170888cbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:13.572116+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11667.39, "started_at": "2026-05-19T15:40:01.903563+00:00", "ended_at": "2026-05-19T15:40:13.570983+00:00", "prompt_metrics": {"chars": 10187, "bytes_utf8": 10187, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 650, "bytes_utf8": 650, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 0, "output_tokens": 610, "reasoning_output_tokens": 426}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_5\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n)\\nSELECT \\\"feature_5\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applies the requested grouped ratio template with \\\"feature_5\\\" as the grouping field and computes the ratio of rows where \\\"class\\\"='2' to rows where \\\"class\\\"='4'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b9cecab6bbdac5ddc704ff3651d26b7a7712c369 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_698d9795e0779fe2", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 0, + "output_tokens": 610, + "total_tokens": 15755, + "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": 11667.39, + "sql_execution_elapsed_ms_total": 9.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_698d9795e0779fe2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..74a6a4a1e94bd2e8345cf4891e37bbaad5527de9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_15. +Result preview: [{"feature_15": 100}, {"feature_15": 100}, {"feature_15": 100}, {"feature_15": 100}, {"feature_15": 100}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..95926e2db47015399be7ebaef1ab82c586b6b3ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n9_6b244ee546038269 +-- problem_id: v2p_n9_58eba46f45845d60 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("feature_15" AS INTEGER) AS "feature_15", + NTILE(10) OVER (ORDER BY CAST("feature_15" AS INTEGER) DESC) AS "tail_bucket" + FROM "n9" +) +SELECT "feature_15" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "feature_15" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8de8a17cf35a09939f4a8f8246cb24a72dff9ae0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/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_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"feature_15\" AS INTEGER) AS \"feature_15\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_15\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"n9\"\n)\nSELECT \"feature_15\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_15\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"feature_15\\\" AS INTEGER) AS \\\"feature_15\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_15\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_15\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_15\\\" DESC;\", \"columns\": [\"feature_15\"], \"rows\": [{\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}, {\"feature_15\": 100}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 13.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c77b52f432e9e3f79301737d4d66c6a2c180f415 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:44:18.441710+00:00", + "ended_at": "2026-05-19T15:44:29.219474+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_6b244ee546038269", + "problem_id": "v2p_n9_58eba46f45845d60", + "dataset_id": "n9", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_15.", + "bindings": { + "measure_col": "feature_15", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=62" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_6b244ee546038269.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_6b244ee546038269", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 555, + "total_tokens": 15546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10761.26, + "sql_execution_elapsed_ms_total": 13.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c32babbbe0e2369f4fee3ccffe55b9cacfc3fe34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:29.204967+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10761.26, "started_at": "2026-05-19T15:44:18.442966+00:00", "ended_at": "2026-05-19T15:44:29.204254+00:00", "prompt_metrics": {"chars": 9561, "bytes_utf8": 9561, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 551, "bytes_utf8": 551, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 555, "reasoning_output_tokens": 394}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"feature_15\\\" AS INTEGER) AS \\\"feature_15\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_15\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_15\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_15\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_15\\\" and num_tiles=10. \\\"feature_15\\\" is cast to INTEGER because the schema stores feature values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5ae9c3d365bd5a3ddf3ff6bea1f2ba33a3d8d9cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_6b244ee546038269", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 555, + "total_tokens": 15546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10761.26, + "sql_execution_elapsed_ms_total": 13.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6b244ee546038269/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85995a1bbc18828965a7ed4a01a9e20b4d968e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9558, "bytes_utf8": 9558, "lines": 298, "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": 545, "bytes_utf8": 545, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 409, "reasoning_output_tokens": 252}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f5f16a8a1f21a9584219b7c52881a64792b26b9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_6c6df2e940326b15", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 409, + "total_tokens": 15400, + "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": 18878.88, + "sql_execution_elapsed_ms_total": 24.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..74f2b916d0c987fae8549d041feea5efd313ce61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/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": "2026-05-19T15:45:34.001459+00:00", + "ended_at": "2026-05-19T15:45:52.880373+00:00", + "elapsed_ms": 18878.88, + "prompt_metrics": { + "chars": 9558, + "bytes_utf8": 9558, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1585, + "bytes_utf8": 1585, + "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": 545, + "bytes_utf8": 545, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 409, + "reasoning_output_tokens": 252 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..affa4cbf4ae1324bb75937eaeccfe8c333ed23df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n9", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_4.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "feature_4", + "top_k": 12, + "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": 100.0, + "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 buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1e17228bcb15ede28d5ac443ace063f5a1962e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e9-f23f-7d90-8be7-a20518a86140"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985612, Requested 15626. Please try again in 37ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15626. Please try again in 468ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"feature_4\\\" AS REAL) AS \\\"feature_4\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_4\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_4\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_4\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=\\\"feature_4\\\" and num_tiles=10. Cast \\\"feature_4\\\" to REAL so tail bucketing and ordering use numeric rather than lexicographic TEXT comparison.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14991,"cached_input_tokens":13696,"output_tokens":409,"reasoning_output_tokens":252}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..74eca3fb49d57460a372434105f14f4a6142a133 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"feature_4\" AS REAL) AS \"feature_4\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_4\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n9\"\n)\nSELECT \"feature_4\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_4\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col=\"feature_4\" and num_tiles=10. Cast \"feature_4\" to REAL so tail bucketing and ordering use numeric rather than lexicographic TEXT comparison."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2df7be56d33ed9c91b5a1eae3cf45ddf09b05d6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_4. +Result preview: [{"feature_4": 100.0}, {"feature_4": 100.0}, {"feature_4": 100.0}, {"feature_4": 100.0}, {"feature_4": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..78e27a030a778c47ea9ebdc641ea21aecb5cc6ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_6c6df2e940326b15/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:52.881597+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18878.88, "started_at": "2026-05-19T15:45:34.001459+00:00", "ended_at": "2026-05-19T15:45:52.880373+00:00", "prompt_metrics": {"chars": 9558, "bytes_utf8": 9558, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 545, "bytes_utf8": 545, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 409, "reasoning_output_tokens": 252}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"feature_4\\\" AS REAL) AS \\\"feature_4\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_4\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_4\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_4\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=\\\"feature_4\\\" and num_tiles=10. Cast \\\"feature_4\\\" to REAL so tail bucketing and ordering use numeric rather than lexicographic TEXT comparison.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b5d127b51017832d637d679ce1f64224d1cc5b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_9, condition_col=class. +Result preview: [{"feature_9": "0", "condition_ratio": 329.0}, {"feature_9": "12", "condition_ratio": 19.0}, {"feature_9": "29", "condition_ratio": 18.0}, {"feature_9": "13", "condition_ratio": 15.0}, {"feature_9": "17", "condition_ratio": 15.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..13bb613ff8801b1eeb66e861f7601e3bfb9eb76d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n9_77b82fc148cb125f +-- problem_id: v2p_n9_bff7f0c7084b1f58 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_9", + SUM(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count + FROM "n9" + GROUP BY "feature_9" +) +SELECT "feature_9", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6acdd4a5a285a5ee1374139c97fe8b01c9fa5616 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/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_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_9\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_9\"\n)\nSELECT \"feature_9\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_9\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n)\\nSELECT \\\"feature_9\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"feature_9\", \"condition_ratio\"], \"rows\": [{\"feature_9\": \"0\", \"condition_ratio\": 329.0}, {\"feature_9\": \"12\", \"condition_ratio\": 19.0}, {\"feature_9\": \"29\", \"condition_ratio\": 18.0}, {\"feature_9\": \"13\", \"condition_ratio\": 15.0}, {\"feature_9\": \"17\", \"condition_ratio\": 15.0}, {\"feature_9\": \"31\", \"condition_ratio\": 15.0}, {\"feature_9\": \"21\", \"condition_ratio\": 13.0}, {\"feature_9\": \"8\", \"condition_ratio\": 13.0}, {\"feature_9\": \"30\", \"condition_ratio\": 12.0}, {\"feature_9\": \"28\", \"condition_ratio\": 10.0}, {\"feature_9\": \"32\", \"condition_ratio\": 8.5}, {\"feature_9\": \"41\", \"condition_ratio\": 8.5}, {\"feature_9\": \"37\", \"condition_ratio\": 8.0}, {\"feature_9\": \"44\", \"condition_ratio\": 8.0}, {\"feature_9\": \"24\", \"condition_ratio\": 7.75}, {\"feature_9\": \"43\", \"condition_ratio\": 7.666666666666667}, {\"feature_9\": \"20\", \"condition_ratio\": 7.0}, {\"feature_9\": \"33\", \"condition_ratio\": 7.0}, {\"feature_9\": \"36\", \"condition_ratio\": 4.666666666666667}, {\"feature_9\": \"35\", \"condition_ratio\": 4.5}, {\"feature_9\": \"40\", \"condition_ratio\": 4.333333333333333}, {\"feature_9\": \"27\", \"condition_ratio\": 3.25}, {\"feature_9\": \"47\", \"condition_ratio\": 3.25}, {\"feature_9\": \"38\", \"condition_ratio\": 3.0}, {\"feature_9\": \"49\", \"condition_ratio\": 2.6666666666666665}, {\"feature_9\": \"48\", \"condition_ratio\": 2.6}, {\"feature_9\": \"42\", \"condition_ratio\": 2.3333333333333335}, {\"feature_9\": \"45\", \"condition_ratio\": 2.2}, {\"feature_9\": \"39\", \"condition_ratio\": 2.0}, {\"feature_9\": \"55\", \"condition_ratio\": 1.3333333333333333}, {\"feature_9\": \"23\", \"condition_ratio\": 1.25}, {\"feature_9\": \"46\", \"condition_ratio\": 1.1666666666666667}, {\"feature_9\": \"63\", \"condition_ratio\": 1.0}, {\"feature_9\": \"53\", \"condition_ratio\": 0.8571428571428571}, {\"feature_9\": \"56\", \"condition_ratio\": 0.8}, {\"feature_9\": \"59\", \"condition_ratio\": 0.6666666666666666}, {\"feature_9\": \"50\", \"condition_ratio\": 0.6}, {\"feature_9\": \"51\", \"condition_ratio\": 0.6}, {\"feature_9\": \"58\", \"condition_ratio\": 0.5}, {\"feature_9\": \"52\", \"condition_ratio\": 0.46153846153846156}, {\"feature_9\": \"60\", \"condition_ratio\": 0.42857142857142855}, {\"feature_9\": \"70\", \"condition_ratio\": 0.42857142857142855}, {\"feature_9\": \"57\", \"condition_ratio\": 0.4}, {\"feature_9\": \"61\", \"condition_ratio\": 0.4}, {\"feature_9\": \"64\", \"condition_ratio\": 0.4}, {\"feature_9\": \"66\", \"condition_ratio\": 0.375}, {\"feature_9\": \"73\", \"condition_ratio\": 0.3333333333333333}, {\"feature_9\": \"62\", \"condition_ratio\": 0.25}, {\"feature_9\": \"65\", \"condition_ratio\": 0.25}, {\"feature_9\": \"71\", \"condition_ratio\": 0.2222222222222222}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4f10eaf5c977f01b07663cb83284d4f16136ffac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:41:04.233852+00:00", + "ended_at": "2026-05-19T15:41:14.556847+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_77b82fc148cb125f", + "problem_id": "v2p_n9_bff7f0c7084b1f58", + "dataset_id": "n9", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_9, condition_col=class.", + "bindings": { + "group_col": "feature_9", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 97.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=42" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_77b82fc148cb125f.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_77b82fc148cb125f", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 461, + "total_tokens": 15606, + "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": 10308.45, + "sql_execution_elapsed_ms_total": 9.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fe876da3d2876a198a1e7ff4533a08f7000f70c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:14.544533+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10308.45, "started_at": "2026-05-19T15:41:04.235201+00:00", "ended_at": "2026-05-19T15:41:14.543684+00:00", "prompt_metrics": {"chars": 10187, "bytes_utf8": 10187, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 13696, "output_tokens": 461, "reasoning_output_tokens": 282}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_9\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n)\\nSELECT \\\"feature_9\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped ratio query using template tpl_m4_group_ratio_two_conditions: for each \\\"feature_9\\\" value, compute count(class='2') divided by count(class='4').\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6d624f627d62a0a864eb0be47a3d89c18e31683e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_77b82fc148cb125f", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 461, + "total_tokens": 15606, + "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": 10308.45, + "sql_execution_elapsed_ms_total": 9.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_77b82fc148cb125f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..eeb04ff309898cd1ff1114bb70b8dcc4a3186e35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_6, measure_col=feature_10. +Result preview: [{"feature_6": "100", "group_value": 57057.0}, {"feature_6": "0", "group_value": 21430.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..31e1959ff8a416184b3dcbf994f25bb182be9c33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_7872fd8b4797f83d +-- problem_id: v2p_n9_482109c03c62f8ed +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "feature_6", + SUM(CAST("feature_10" AS REAL)) AS "group_value" + FROM "n9" + GROUP BY "feature_6" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."feature_6", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..39123ca0b0695040c7ab03a18d15c502579f0a7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/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_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_6\",\n SUM(CAST(\"feature_10\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_6\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_6\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_6\\\",\\n SUM(CAST(\\\"feature_10\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_6\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_6\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"feature_6\", \"group_value\"], \"rows\": [{\"feature_6\": \"100\", \"group_value\": 57057.0}, {\"feature_6\": \"0\", \"group_value\": 21430.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a4a00c309a8b564615a30dbf93735a3ac6ee358a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:46:50.578285+00:00", + "ended_at": "2026-05-19T15:47:06.062917+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_7872fd8b4797f83d", + "problem_id": "v2p_n9_482109c03c62f8ed", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_6, measure_col=feature_10.", + "bindings": { + "group_col": "feature_6", + "measure_col": "feature_10", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 45.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=73" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_7872fd8b4797f83d.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7872fd8b4797f83d", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 504, + "total_tokens": 15580, + "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": 15474.02, + "sql_execution_elapsed_ms_total": 6.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..066a79781543e4a12c7319c4b86acb559c621c06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:06.055147+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15474.02, "started_at": "2026-05-19T15:46:50.580012+00:00", "ended_at": "2026-05-19T15:47:06.054077+00:00", "prompt_metrics": {"chars": 9947, "bytes_utf8": 9947, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 700, "bytes_utf8": 700, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 504, "reasoning_output_tokens": 295}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_6\\\",\\n SUM(CAST(\\\"feature_10\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_6\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_6\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"feature_6\\\" and measure_col=\\\"feature_10\\\". CAST was added because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a1e22e85a376cfffba848a108081d71d40e9f6a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7872fd8b4797f83d", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 504, + "total_tokens": 15580, + "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": 15474.02, + "sql_execution_elapsed_ms_total": 6.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7872fd8b4797f83d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..85db7c0b8589ff554dca5ee47ad11f97e90140bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_16, measure_col=feature_1. +Result preview: [{"feature_16": "49", "feature_2": "100", "total_measure": 1292.0, "share_within_group": 88.98071625344353}, {"feature_16": "46", "feature_2": "100", "total_measure": 1411.0, "share_within_group": 88.85390428211586}, {"feature_16": "29", "feature_2": "100", "total_measure": 2658.0, "share_within_group": 85.63144329896907}, {"feature_16": "31", "feature_2": "100", "total_measure": 2178.0, "share_within_group": 83.9306358381503}, {"feature_16": "27", "feature_2": "100", "total_measure": 3028.0, "share_within_group": 82.05962059620596}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4edb1cff12446908c6d01732f76816bff6802b54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_7b9d7c673f0f635c +-- problem_id: v2p_n9_64cfb43409e31360 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_16", "feature_2", + SUM(CAST("feature_1" AS REAL)) AS total_measure, + SUM(CAST("feature_1" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_1" AS REAL))) OVER (PARTITION BY "feature_16") AS share_within_group +FROM "n9" +GROUP BY "feature_16", "feature_2" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64f4ae7220083a0e0edc2b50f645bc360783dc29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/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_tpcds_within_group_share\nSELECT \"feature_16\", \"feature_2\",\n SUM(CAST(\"feature_1\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_1\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_1\" AS REAL))) OVER (PARTITION BY \"feature_16\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_16\", \"feature_2\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_16\\\", \\\"feature_2\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_16\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\", \\\"feature_2\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"feature_16\", \"feature_2\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_16\": \"49\", \"feature_2\": \"100\", \"total_measure\": 1292.0, \"share_within_group\": 88.98071625344353}, {\"feature_16\": \"46\", \"feature_2\": \"100\", \"total_measure\": 1411.0, \"share_within_group\": 88.85390428211586}, {\"feature_16\": \"29\", \"feature_2\": \"100\", \"total_measure\": 2658.0, \"share_within_group\": 85.63144329896907}, {\"feature_16\": \"31\", \"feature_2\": \"100\", \"total_measure\": 2178.0, \"share_within_group\": 83.9306358381503}, {\"feature_16\": \"27\", \"feature_2\": \"100\", \"total_measure\": 3028.0, \"share_within_group\": 82.05962059620596}, {\"feature_16\": \"36\", \"feature_2\": \"100\", \"total_measure\": 1423.0, \"share_within_group\": 81.68771526980483}, {\"feature_16\": \"37\", \"feature_2\": \"100\", \"total_measure\": 1897.0, \"share_within_group\": 80.82658713250959}, {\"feature_16\": \"32\", \"feature_2\": \"100\", \"total_measure\": 1763.0, \"share_within_group\": 79.99092558983666}, {\"feature_16\": \"28\", \"feature_2\": \"100\", \"total_measure\": 2502.0, \"share_within_group\": 76.96093509689327}, {\"feature_16\": \"30\", \"feature_2\": \"100\", \"total_measure\": 1728.0, \"share_within_group\": 76.83414851044908}, {\"feature_16\": \"35\", \"feature_2\": \"100\", \"total_measure\": 1409.0, \"share_within_group\": 74.58973001588141}, {\"feature_16\": \"23\", \"feature_2\": \"100\", \"total_measure\": 2543.0, \"share_within_group\": 74.40023405500293}, {\"feature_16\": \"26\", \"feature_2\": \"100\", \"total_measure\": 2234.0, \"share_within_group\": 74.16998671978752}, {\"feature_16\": \"22\", \"feature_2\": \"100\", \"total_measure\": 2821.0, \"share_within_group\": 74.08088235294117}, {\"feature_16\": \"25\", \"feature_2\": \"100\", \"total_measure\": 2859.0, \"share_within_group\": 72.16052498738011}, {\"feature_16\": \"39\", \"feature_2\": \"100\", \"total_measure\": 992.0, \"share_within_group\": 70.75606276747503}, {\"feature_16\": \"43\", \"feature_2\": \"100\", \"total_measure\": 866.0, \"share_within_group\": 70.46379170056957}, {\"feature_16\": \"33\", \"feature_2\": \"100\", \"total_measure\": 1697.0, \"share_within_group\": 69.72062448644208}, {\"feature_16\": \"38\", \"feature_2\": \"100\", \"total_measure\": 1126.0, \"share_within_group\": 69.46329426280074}, {\"feature_16\": \"34\", \"feature_2\": \"100\", \"total_measure\": 1475.0, \"share_within_group\": 68.00368833563854}, {\"feature_16\": \"40\", \"feature_2\": \"100\", \"total_measure\": 1061.0, \"share_within_group\": 67.88227767114523}, {\"feature_16\": \"21\", \"feature_2\": \"100\", \"total_measure\": 2776.0, \"share_within_group\": 67.80654616511968}, {\"feature_16\": \"42\", \"feature_2\": \"100\", \"total_measure\": 991.0, \"share_within_group\": 66.33199464524766}, {\"feature_16\": \"24\", \"feature_2\": \"100\", \"total_measure\": 2248.0, \"share_within_group\": 65.8465143526655}, {\"feature_16\": \"44\", \"feature_2\": \"100\", \"total_measure\": 589.0, \"share_within_group\": 65.15486725663717}, {\"feature_16\": \"20\", \"feature_2\": \"100\", \"total_measure\": 2423.0, \"share_within_group\": 63.89767932489451}, {\"feature_16\": \"47\", \"feature_2\": \"100\", \"total_measure\": 678.0, \"share_within_group\": 62.08791208791209}, {\"feature_16\": \"48\", \"feature_2\": \"100\", \"total_measure\": 669.0, \"share_within_group\": 60.65276518585675}, {\"feature_16\": \"51\", \"feature_2\": \"100\", \"total_measure\": 397.0, \"share_within_group\": 60.24279210925645}, {\"feature_16\": \"18\", \"feature_2\": \"100\", \"total_measure\": 2234.0, \"share_within_group\": 59.44651410324641}, {\"feature_16\": \"19\", \"feature_2\": \"100\", \"total_measure\": 3239.0, \"share_within_group\": 57.9946284691137}, {\"feature_16\": \"41\", \"feature_2\": \"100\", \"total_measure\": 721.0, \"share_within_group\": 57.633892885691445}, {\"feature_16\": \"99\", \"feature_2\": \"100\", \"total_measure\": 1972.0, \"share_within_group\": 56.73187571921749}, {\"feature_16\": \"97\", \"feature_2\": \"100\", \"total_measure\": 1602.0, \"share_within_group\": 56.547829156371336}, {\"feature_16\": \"96\", \"feature_2\": \"100\", \"total_measure\": 1573.0, \"share_within_group\": 56.359727696166246}, {\"feature_16\": \"50\", \"feature_2\": \"100\", \"total_measure\": 410.0, \"share_within_group\": 54.232804232804234}, {\"feature_16\": \"45\", \"feature_2\": \"100\", \"total_measure\": 491.0, \"share_within_group\": 53.253796095444685}, {\"feature_16\": \"17\", \"feature_2\": \"100\", \"total_measure\": 1491.0, \"share_within_group\": 52.94744318181818}, {\"feature_16\": \"15\", \"feature_2\": \"100\", \"total_measure\": 2280.0, \"share_within_group\": 52.802223251505325}, {\"feature_16\": \"53\", \"feature_2\": \"100\", \"total_measure\": 318.0, \"share_within_group\": 49.074074074074076}, {\"feature_16\": \"16\", \"feature_2\": \"100\", \"total_measure\": 2271.0, \"share_within_group\": 48.16542948038176}, {\"feature_16\": \"13\", \"feature_2\": \"100\", \"total_measure\": 2109.0, \"share_within_group\": 47.866545619609624}, {\"feature_16\": \"0\", \"feature_2\": \"100\", \"total_measure\": 67853.0, \"share_within_group\": 47.37411679280588}, {\"feature_16\": \"95\", \"feature_2\": \"100\", \"total_measure\": 1344.0, \"share_within_group\": 47.22417427969079}, {\"feature_16\": \"59\", \"feature_2\": \"100\", \"total_measure\": 369.0, \"share_within_group\": 45.38745387453874}, {\"feature_16\": \"14\", \"feature_2\": \"100\", \"total_measure\": 1890.0, \"share_within_group\": 43.83116883116883}, {\"feature_16\": \"12\", \"feature_2\": \"100\", \"total_measure\": 2332.0, \"share_within_group\": 42.57805367902136}, {\"feature_16\": \"98\", \"feature_2\": \"100\", \"total_measure\": 1704.0, \"share_within_group\": 41.6015625}, {\"feature_16\": \"89\", \"feature_2\": \"100\", \"total_measure\": 1024.0, \"share_within_group\": 41.50790433725172}, {\"feature_16\": \"94\", \"feature_2\": \"100\", \"total_measure\": 1292.0, \"share_within_group\": 39.43833943833944}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 14.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f8de782adcc7e441baeb573c84d9ed052391cd3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:38:16.797116+00:00", + "ended_at": "2026-05-19T15:38:30.602181+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_7b9d7c673f0f635c", + "problem_id": "v2p_n9_64cfb43409e31360", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_16, measure_col=feature_1.", + "bindings": { + "group_col": "feature_16", + "measure_col": "feature_1", + "item_col": "feature_2", + "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": 65.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_7b9d7c673f0f635c.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7b9d7c673f0f635c", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 498, + "total_tokens": 15558, + "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": 13786.05, + "sql_execution_elapsed_ms_total": 14.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d010faba0ecfadb8bb9fe35883cbe03f1e2563d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:30.585927+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13786.05, "started_at": "2026-05-19T15:38:16.799101+00:00", "ended_at": "2026-05-19T15:38:30.585184+00:00", "prompt_metrics": {"chars": 9802, "bytes_utf8": 9802, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 595, "bytes_utf8": 595, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 12032, "output_tokens": 498, "reasoning_output_tokens": 324}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_16\\\", \\\"feature_2\\\",\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_1\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_1\\\" AS REAL))) OVER (PARTITION BY \\\"feature_16\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\", \\\"feature_2\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_16\\\", item_col=\\\"feature_2\\\", and measure_col=\\\"feature_1\\\". CAST is used because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15a8f26900b5f04769910d9f183b5748d2911288 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7b9d7c673f0f635c", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 498, + "total_tokens": 15558, + "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": 13786.05, + "sql_execution_elapsed_ms_total": 14.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7b9d7c673f0f635c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..171a10ebae1f455a2c4c5796980e7640ac503fd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2. +Result preview: [{"feature_2": "100"}, {"feature_2": "100"}, {"feature_2": "100"}, {"feature_2": "100"}, {"feature_2": "100"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0038d25149585efb6ab230900359619217b0adb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n9_7d2fbbac0e070940 +-- problem_id: v2p_n9_55cd5843b5109ad7 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "feature_2", + NTILE(10) OVER (ORDER BY CAST("feature_2" AS REAL) DESC) AS tail_bucket + FROM "n9" +) +SELECT "feature_2" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("feature_2" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be9c532b664e754d4ca9dc9a9ef2bc0cfab3f54d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/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_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"feature_2\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_2\" AS REAL) DESC) AS tail_bucket\n FROM \"n9\"\n)\nSELECT \"feature_2\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"feature_2\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"feature_2\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_2\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_2\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_2\\\" AS REAL) DESC;\", \"columns\": [\"feature_2\"], \"rows\": [{\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}, {\"feature_2\": \"100\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 17.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bb538ae2df9b285d6cd5dc4bd1a549ca7f57c7d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:45:10.039027+00:00", + "ended_at": "2026-05-19T15:45:19.966700+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_7d2fbbac0e070940", + "problem_id": "v2p_n9_55cd5843b5109ad7", + "dataset_id": "n9", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_2.", + "bindings": { + "measure_col": "feature_2", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=65" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_7d2fbbac0e070940.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7d2fbbac0e070940", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 421, + "total_tokens": 15412, + "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": 9906.86, + "sql_execution_elapsed_ms_total": 17.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a718551e2a4c7f2b9090b71966d73056430127fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:19.948081+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9906.86, "started_at": "2026-05-19T15:45:10.040350+00:00", "ended_at": "2026-05-19T15:45:19.947241+00:00", "prompt_metrics": {"chars": 9558, "bytes_utf8": 9558, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 548, "bytes_utf8": 548, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 421, "reasoning_output_tokens": 270}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"feature_2\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_2\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_2\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"feature_2\\\" AS REAL) DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to \\\"feature_2\\\" and num_tiles=10. CAST to REAL is applied because the schema stores features as TEXT, and numeric ordering is needed for the tail slice.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d2e713f5d0ade11452851a9a303c4296b9b697f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7d2fbbac0e070940", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 421, + "total_tokens": 15412, + "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": 9906.86, + "sql_execution_elapsed_ms_total": 17.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7d2fbbac0e070940/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..246ea32107032c3da9b0e895a24cfae438d601bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_6, condition_col=class. +Result preview: [{"feature_6": "77", "condition_ratio": 22.0}, {"feature_6": "79", "condition_ratio": 18.0}, {"feature_6": "78", "condition_ratio": 16.5}, {"feature_6": "80", "condition_ratio": 14.5}, {"feature_6": "75", "condition_ratio": 7.2}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..307ee2abca12f38a08e3697c4decc86db587d0a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n9_7f2c9cb98bebdea7 +-- problem_id: v2p_n9_57d852f025a294d5 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_6", + SUM(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count + FROM "n9" + GROUP BY "feature_6" +) +SELECT "feature_6", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9e518a5421dbfb3a96930110c1b4e412f0fcf8d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/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_group_ratio_two_conditions.\nWITH grouped AS (\n SELECT \"feature_6\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_6\"\n)\nSELECT \"feature_6\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH grouped AS (\\n SELECT \\\"feature_6\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_6\\\"\\n)\\nSELECT \\\"feature_6\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"feature_6\", \"condition_ratio\"], \"rows\": [{\"feature_6\": \"77\", \"condition_ratio\": 22.0}, {\"feature_6\": \"79\", \"condition_ratio\": 18.0}, {\"feature_6\": \"78\", \"condition_ratio\": 16.5}, {\"feature_6\": \"80\", \"condition_ratio\": 14.5}, {\"feature_6\": \"75\", \"condition_ratio\": 7.2}, {\"feature_6\": \"74\", \"condition_ratio\": 7.0}, {\"feature_6\": \"76\", \"condition_ratio\": 6.4}, {\"feature_6\": \"73\", \"condition_ratio\": 4.25}, {\"feature_6\": \"71\", \"condition_ratio\": 3.6363636363636362}, {\"feature_6\": \"67\", \"condition_ratio\": 3.4}, {\"feature_6\": \"70\", \"condition_ratio\": 3.1666666666666665}, {\"feature_6\": \"68\", \"condition_ratio\": 3.0}, {\"feature_6\": \"72\", \"condition_ratio\": 2.6153846153846154}, {\"feature_6\": \"69\", \"condition_ratio\": 1.8}, {\"feature_6\": \"66\", \"condition_ratio\": 1.625}, {\"feature_6\": \"65\", \"condition_ratio\": 1.4166666666666667}, {\"feature_6\": \"64\", \"condition_ratio\": 1.0666666666666667}, {\"feature_6\": \"60\", \"condition_ratio\": 0.5416666666666666}, {\"feature_6\": \"62\", \"condition_ratio\": 0.41935483870967744}, {\"feature_6\": \"58\", \"condition_ratio\": 0.4}, {\"feature_6\": \"63\", \"condition_ratio\": 0.3333333333333333}, {\"feature_6\": \"57\", \"condition_ratio\": 0.3103448275862069}, {\"feature_6\": \"61\", \"condition_ratio\": 0.23076923076923078}, {\"feature_6\": \"55\", \"condition_ratio\": 0.12121212121212122}, {\"feature_6\": \"56\", \"condition_ratio\": 0.08108108108108109}, {\"feature_6\": \"53\", \"condition_ratio\": 0.07692307692307693}, {\"feature_6\": \"50\", \"condition_ratio\": 0.06818181818181818}, {\"feature_6\": \"59\", \"condition_ratio\": 0.05555555555555555}, {\"feature_6\": \"49\", \"condition_ratio\": 0.044444444444444446}, {\"feature_6\": \"42\", \"condition_ratio\": 0.034482758620689655}, {\"feature_6\": \"43\", \"condition_ratio\": 0.03333333333333333}, {\"feature_6\": \"44\", \"condition_ratio\": 0.02631578947368421}, {\"feature_6\": \"51\", \"condition_ratio\": 0.02564102564102564}, {\"feature_6\": \"48\", \"condition_ratio\": 0.023809523809523808}, {\"feature_6\": \"47\", \"condition_ratio\": 0.02127659574468085}, {\"feature_6\": \"52\", \"condition_ratio\": 0.02127659574468085}, {\"feature_6\": \"10\", \"condition_ratio\": 0.0}, {\"feature_6\": \"16\", \"condition_ratio\": 0.0}, {\"feature_6\": \"20\", \"condition_ratio\": 0.0}, {\"feature_6\": \"21\", \"condition_ratio\": 0.0}, {\"feature_6\": \"22\", \"condition_ratio\": 0.0}, {\"feature_6\": \"23\", \"condition_ratio\": 0.0}, {\"feature_6\": \"24\", \"condition_ratio\": 0.0}, {\"feature_6\": \"26\", \"condition_ratio\": 0.0}, {\"feature_6\": \"27\", \"condition_ratio\": 0.0}, {\"feature_6\": \"28\", \"condition_ratio\": 0.0}, {\"feature_6\": \"29\", \"condition_ratio\": 0.0}, {\"feature_6\": \"30\", \"condition_ratio\": 0.0}, {\"feature_6\": \"31\", \"condition_ratio\": 0.0}, {\"feature_6\": \"32\", \"condition_ratio\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 13.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..506442bf32219910ff0a9b44eed000559e617934 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:40:13.584322+00:00", + "ended_at": "2026-05-19T15:40:33.058318+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_7f2c9cb98bebdea7", + "problem_id": "v2p_n9_57d852f025a294d5", + "dataset_id": "n9", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_6, condition_col=class.", + "bindings": { + "group_col": "feature_6", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 64.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=39" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_7f2c9cb98bebdea7.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7f2c9cb98bebdea7", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 14720, + "output_tokens": 694, + "total_tokens": 15839, + "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": 19454.79, + "sql_execution_elapsed_ms_total": 13.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0bc0d1c9f4cee183fdca2d51fa7cbb2935b666a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:33.042351+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19454.79, "started_at": "2026-05-19T15:40:13.585892+00:00", "ended_at": "2026-05-19T15:40:33.040715+00:00", "prompt_metrics": {"chars": 10186, "bytes_utf8": 10186, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 656, "bytes_utf8": 656, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 14720, "output_tokens": 694, "reasoning_output_tokens": 509}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH grouped AS (\\n SELECT \\\"feature_6\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_6\\\"\\n)\\nSELECT \\\"feature_6\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the provided grouped ratio template with group_col=\\\"feature_6\\\" and condition_col=\\\"class\\\", computing the ratio of class '2' to class '4' for each feature_6 group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..033a9e84c484ea9e067c0e8e3e534422980aaacd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_7f2c9cb98bebdea7", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 14720, + "output_tokens": 694, + "total_tokens": 15839, + "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": 19454.79, + "sql_execution_elapsed_ms_total": 13.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_7f2c9cb98bebdea7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..081ebfef9801a397f84840c7a4e1c7a634cbed59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/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=feature_4, group_col_2=feature_10. +Result preview: [{"feature_4": "100", "feature_10": "0", "row_count": 37}, {"feature_4": "92", "feature_10": "0", "row_count": 6}, {"feature_4": "99", "feature_10": "0", "row_count": 6}, {"feature_4": "75", "feature_10": "0", "row_count": 5}, {"feature_4": "81", "feature_10": "0", "row_count": 5}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b0b39e97e8476bfca6b86eb1d78b4e7c93fddec6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- 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_n9_8055a54c784a3fc2 +-- problem_id: v2p_n9_c7d7f61c3c424697 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_4", "feature_10", COUNT(*) AS row_count +FROM "n9" +WHERE "class" = '0' +GROUP BY "feature_4", "feature_10" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb52860d432dbda1dc1de47002c88827ef1c3a0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/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 \"feature_4\", \"feature_10\", COUNT(*) AS row_count\nFROM \"n9\"\nWHERE \"class\" = '0'\nGROUP BY \"feature_4\", \"feature_10\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_10\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nWHERE \\\"class\\\" = '0'\\nGROUP BY \\\"feature_4\\\", \\\"feature_10\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"feature_4\", \"feature_10\", \"row_count\"], \"rows\": [{\"feature_4\": \"100\", \"feature_10\": \"0\", \"row_count\": 37}, {\"feature_4\": \"92\", \"feature_10\": \"0\", \"row_count\": 6}, {\"feature_4\": \"99\", \"feature_10\": \"0\", \"row_count\": 6}, {\"feature_4\": \"75\", \"feature_10\": \"0\", \"row_count\": 5}, {\"feature_4\": \"81\", \"feature_10\": \"0\", \"row_count\": 5}, {\"feature_4\": \"49\", \"feature_10\": \"30\", \"row_count\": 4}, {\"feature_4\": \"56\", \"feature_10\": \"35\", \"row_count\": 4}, {\"feature_4\": \"58\", \"feature_10\": \"29\", \"row_count\": 4}, {\"feature_4\": \"60\", \"feature_10\": \"25\", \"row_count\": 4}, {\"feature_4\": \"61\", \"feature_10\": \"30\", \"row_count\": 4}, {\"feature_4\": \"64\", \"feature_10\": \"27\", \"row_count\": 4}, {\"feature_4\": \"86\", \"feature_10\": \"0\", \"row_count\": 4}, {\"feature_4\": \"87\", \"feature_10\": \"0\", \"row_count\": 4}, {\"feature_4\": \"90\", \"feature_10\": \"0\", \"row_count\": 4}, {\"feature_4\": \"91\", \"feature_10\": \"0\", \"row_count\": 4}, {\"feature_4\": \"97\", \"feature_10\": \"0\", \"row_count\": 4}, {\"feature_4\": \"0\", \"feature_10\": \"100\", \"row_count\": 3}, {\"feature_4\": \"25\", \"feature_10\": \"61\", \"row_count\": 3}, {\"feature_4\": \"48\", \"feature_10\": \"30\", \"row_count\": 3}, {\"feature_4\": \"48\", \"feature_10\": \"35\", \"row_count\": 3}, {\"feature_4\": \"55\", \"feature_10\": \"45\", \"row_count\": 3}, {\"feature_4\": \"59\", \"feature_10\": \"25\", \"row_count\": 3}, {\"feature_4\": \"60\", \"feature_10\": \"28\", \"row_count\": 3}, {\"feature_4\": \"60\", \"feature_10\": \"44\", \"row_count\": 3}, {\"feature_4\": \"61\", \"feature_10\": \"25\", \"row_count\": 3}, {\"feature_4\": \"61\", \"feature_10\": \"27\", \"row_count\": 3}, {\"feature_4\": \"62\", \"feature_10\": \"19\", \"row_count\": 3}, {\"feature_4\": \"64\", \"feature_10\": \"18\", \"row_count\": 3}, {\"feature_4\": \"64\", \"feature_10\": \"25\", \"row_count\": 3}, {\"feature_4\": \"64\", \"feature_10\": \"34\", \"row_count\": 3}, {\"feature_4\": \"65\", \"feature_10\": \"22\", \"row_count\": 3}, {\"feature_4\": \"66\", \"feature_10\": \"26\", \"row_count\": 3}, {\"feature_4\": \"68\", \"feature_10\": \"10\", \"row_count\": 3}, {\"feature_4\": \"69\", \"feature_10\": \"16\", \"row_count\": 3}, {\"feature_4\": \"69\", \"feature_10\": \"18\", \"row_count\": 3}, {\"feature_4\": \"69\", \"feature_10\": \"22\", \"row_count\": 3}, {\"feature_4\": \"70\", \"feature_10\": \"10\", \"row_count\": 3}, {\"feature_4\": \"70\", \"feature_10\": \"22\", \"row_count\": 3}, {\"feature_4\": \"70\", \"feature_10\": \"23\", \"row_count\": 3}, {\"feature_4\": \"74\", \"feature_10\": \"21\", \"row_count\": 3}, {\"feature_4\": \"76\", \"feature_10\": \"23\", \"row_count\": 3}, {\"feature_4\": \"78\", \"feature_10\": \"0\", \"row_count\": 3}, {\"feature_4\": \"78\", \"feature_10\": \"6\", \"row_count\": 3}, {\"feature_4\": \"82\", \"feature_10\": \"0\", \"row_count\": 3}, {\"feature_4\": \"84\", \"feature_10\": \"0\", \"row_count\": 3}, {\"feature_4\": \"88\", \"feature_10\": \"0\", \"row_count\": 3}, {\"feature_4\": \"93\", \"feature_10\": \"0\", \"row_count\": 3}, {\"feature_4\": \"98\", \"feature_10\": \"0\", \"row_count\": 3}, {\"feature_4\": \"18\", \"feature_10\": \"54\", \"row_count\": 2}, {\"feature_4\": \"2\", \"feature_10\": \"100\", \"row_count\": 2}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..440f505b44b0163965fb669385872692b10d83ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:41:44.512488+00:00", + "ended_at": "2026-05-19T15:41:56.891234+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_8055a54c784a3fc2", + "problem_id": "v2p_n9_c7d7f61c3c424697", + "dataset_id": "n9", + "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=feature_4, group_col_2=feature_10.", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_10", + "predicate_col": "class", + "predicate_op": "=", + "predicate_value": "0", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 58.0, + "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=3", + "sql_variant_index=1/1", + "binding_index=50" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_8055a54c784a3fc2.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8055a54c784a3fc2", + "api_calls": 0, + "input_tokens": 15031, + "cached_input_tokens": 12032, + "output_tokens": 412, + "total_tokens": 15443, + "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": 12372.9, + "sql_execution_elapsed_ms_total": 2.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a25c3c83528e12d3b2daac3838bb52dddb306375 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:56.887512+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12372.9, "started_at": "2026-05-19T15:41:44.513587+00:00", "ended_at": "2026-05-19T15:41:56.886522+00:00", "prompt_metrics": {"chars": 9697, "bytes_utf8": 9697, "lines": 304, "estimated_tokens": null}, "response_metrics": {"chars": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15031, "cached_input_tokens": 12032, "output_tokens": 412, "reasoning_output_tokens": 299}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_10\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nWHERE \\\"class\\\" = '0'\\nGROUP BY \\\"feature_4\\\", \\\"feature_10\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template, filtering rows where \\\"class\\\" = '0' and grouping by \\\"feature_4\\\" and \\\"feature_10\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8a0a3594f3e91a680cb005a3327e62fe5bf6696f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8055a54c784a3fc2", + "api_calls": 0, + "input_tokens": 15031, + "cached_input_tokens": 12032, + "output_tokens": 412, + "total_tokens": 15443, + "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": 12372.9, + "sql_execution_elapsed_ms_total": 2.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8055a54c784a3fc2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..45bea148cef5420c98c31fbb309238c25ab37383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9289, "bytes_utf8": 9289, "lines": 298, "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": 246, "bytes_utf8": 246, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14907, "cached_input_tokens": 12032, "output_tokens": 293, "reasoning_output_tokens": 223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7f6baf6d73655968db1ea083784ca4f2117ac4bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8217a985c2e7d337", + "api_calls": 0, + "input_tokens": 14907, + "cached_input_tokens": 12032, + "output_tokens": 293, + "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": 9689.94, + "sql_execution_elapsed_ms_total": 4.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..275c985302178fef2b8c888d453f6085c2f8fa86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/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": "2026-05-19T15:32:55.548427+00:00", + "ended_at": "2026-05-19T15:33:05.238403+00:00", + "elapsed_ms": 9689.94, + "prompt_metrics": { + "chars": 9289, + "bytes_utf8": 9289, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 600, + "bytes_utf8": 600, + "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": 246, + "bytes_utf8": 246, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14907, + "cached_input_tokens": 12032, + "output_tokens": 293, + "reasoning_output_tokens": 223 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0ef242251d6693d7eb0758ed9dfe2c7f6835511 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=class.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "class", + "top_k": 11, + "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": 65.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2bab5b86681f0ef23a093f855349c34e69bcda75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-5fa2-7611-85be-41fdf0028bd8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"class\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"class\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14907,"cached_input_tokens":12032,"output_tokens":293,"reasoning_output_tokens":223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3386edde3900ce0b692e00f4bc703b446fc0902 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"class\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nGROUP BY \"class\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided grouped-count template with group_col bound to \"class\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2edd1f9c577ca0d1e1b0657f9d8b4bc24a635164 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=class. +Result preview: [{"class": "4", "row_count": 1144}, {"class": "2", "row_count": 1144}, {"class": "1", "row_count": 1143}, {"class": "0", "row_count": 1143}, {"class": "7", "row_count": 1142}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..de34530ac15dcc452677f13771fb304e83098132 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n9_8217a985c2e7d337 +-- problem_id: v2p_n9_f2e42a3aaa4d0801 +-- realization_mode: agent +-- source_kind: agent +SELECT "class", COUNT(*) AS "row_count" +FROM "n9" +GROUP BY "class" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..792c80d9298ba165ed003ea2be5c66937ae8812e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/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_clickbench_group_count\nSELECT \"class\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nGROUP BY \"class\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"class\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"class\", \"row_count\"], \"rows\": [{\"class\": \"4\", \"row_count\": 1144}, {\"class\": \"2\", \"row_count\": 1144}, {\"class\": \"1\", \"row_count\": 1143}, {\"class\": \"0\", \"row_count\": 1143}, {\"class\": \"7\", \"row_count\": 1142}, {\"class\": \"6\", \"row_count\": 1056}, {\"class\": \"9\", \"row_count\": 1055}, {\"class\": \"8\", \"row_count\": 1055}, {\"class\": \"5\", \"row_count\": 1055}, {\"class\": \"3\", \"row_count\": 1055}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ecd88bfbf5966d234a40d52b53793344c9f617f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:32:55.546367+00:00", + "ended_at": "2026-05-19T15:33:05.245239+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_8217a985c2e7d337", + "problem_id": "v2p_n9_f2e42a3aaa4d0801", + "dataset_id": "n9", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "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 Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=class.", + "bindings": { + "group_col": "class", + "top_k": 11, + "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": 65.0, + "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" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=16" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_8217a985c2e7d337.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8217a985c2e7d337", + "api_calls": 0, + "input_tokens": 14907, + "cached_input_tokens": 12032, + "output_tokens": 293, + "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": 9689.94, + "sql_execution_elapsed_ms_total": 4.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..048205fa4f1cbe524298f5d721e29f1da23162f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:05.239221+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9689.94, "started_at": "2026-05-19T15:32:55.548427+00:00", "ended_at": "2026-05-19T15:33:05.238403+00:00", "prompt_metrics": {"chars": 9289, "bytes_utf8": 9289, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 246, "bytes_utf8": 246, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14907, "cached_input_tokens": 12032, "output_tokens": 293, "reasoning_output_tokens": 223}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"class\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"class\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c2b3ff37af30557b58c0d64a90498b270805951c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8217a985c2e7d337", + "api_calls": 0, + "input_tokens": 14907, + "cached_input_tokens": 12032, + "output_tokens": 293, + "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": 9689.94, + "sql_execution_elapsed_ms_total": 4.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8217a985c2e7d337/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c3a74d25d7457855060c2c4d83caf711eb666ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 4044, "support_share": 0.36790393013100436, "cumulative_support": 4044}, {"value_label": "100", "support": 759, "support_share": 0.06905021834061136, "cumulative_support": 4803}, {"value_label": "1", "support": 228, "support_share": 0.02074235807860262, "cumulative_support": 5031}, {"value_label": "2", "support": 185, "support_share": 0.01683042212518195, "cumulative_support": 5216}, {"value_label": "5", "support": 175, "support_share": 0.01592066957787482, "cumulative_support": 5391}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..89d456be6d225e0785b08d5eb1d8c262b925b107 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n9_86a2386bd005c5f4 +-- problem_id: v2p_n9_850642349848658b +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_16" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_16" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d89d0fe5afd91d938d1e9209e28a98465585388c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n9_86a2386bd005c5f4\n-- problem_id: v2p_n9_850642349848658b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_16\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_16\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n9_86a2386bd005c5f4\\n-- problem_id: v2p_n9_850642349848658b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_16\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_16\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 4044, \"support_share\": 0.36790393013100436, \"cumulative_support\": 4044}, {\"value_label\": \"100\", \"support\": 759, \"support_share\": 0.06905021834061136, \"cumulative_support\": 4803}, {\"value_label\": \"1\", \"support\": 228, \"support_share\": 0.02074235807860262, \"cumulative_support\": 5031}, {\"value_label\": \"2\", \"support\": 185, \"support_share\": 0.01683042212518195, \"cumulative_support\": 5216}, {\"value_label\": \"5\", \"support\": 175, \"support_share\": 0.01592066957787482, \"cumulative_support\": 5391}, {\"value_label\": \"3\", \"support\": 174, \"support_share\": 0.015829694323144104, \"cumulative_support\": 5565}, {\"value_label\": \"4\", \"support\": 164, \"support_share\": 0.014919941775836972, \"cumulative_support\": 5729}, {\"value_label\": \"7\", \"support\": 151, \"support_share\": 0.0137372634643377, \"cumulative_support\": 5880}, {\"value_label\": \"6\", \"support\": 146, \"support_share\": 0.013282387190684133, \"cumulative_support\": 6026}, {\"value_label\": \"8\", \"support\": 141, \"support_share\": 0.012827510917030568, \"cumulative_support\": 6167}, {\"value_label\": \"12\", \"support\": 111, \"support_share\": 0.01009825327510917, \"cumulative_support\": 6278}, {\"value_label\": \"10\", \"support\": 107, \"support_share\": 0.009734352256186317, \"cumulative_support\": 6385}, {\"value_label\": \"9\", \"support\": 103, \"support_share\": 0.009370451237263464, \"cumulative_support\": 6488}, {\"value_label\": \"11\", \"support\": 101, \"support_share\": 0.009188500727802038, \"cumulative_support\": 6589}, {\"value_label\": \"19\", \"support\": 99, \"support_share\": 0.009006550218340612, \"cumulative_support\": 6688}, {\"value_label\": \"13\", \"support\": 93, \"support_share\": 0.008460698689956333, \"cumulative_support\": 6781}, {\"value_label\": \"16\", \"support\": 88, \"support_share\": 0.008005822416302766, \"cumulative_support\": 6869}, {\"value_label\": \"15\", \"support\": 85, \"support_share\": 0.007732896652110626, \"cumulative_support\": 6954}, {\"value_label\": \"98\", \"support\": 85, \"support_share\": 0.007732896652110626, \"cumulative_support\": 7039}, {\"value_label\": \"99\", \"support\": 85, \"support_share\": 0.007732896652110626, \"cumulative_support\": 7124}, {\"value_label\": \"14\", \"support\": 83, \"support_share\": 0.007550946142649199, \"cumulative_support\": 7207}, {\"value_label\": \"38\", \"support\": 72, \"support_share\": 0.006550218340611353, \"cumulative_support\": 7279}, {\"value_label\": \"37\", \"support\": 71, \"support_share\": 0.00645924308588064, \"cumulative_support\": 7350}, {\"value_label\": \"17\", \"support\": 70, \"support_share\": 0.006368267831149927, \"cumulative_support\": 7420}, {\"value_label\": \"20\", \"support\": 70, \"support_share\": 0.006368267831149927, \"cumulative_support\": 7490}, {\"value_label\": \"28\", \"support\": 69, \"support_share\": 0.006277292576419214, \"cumulative_support\": 7559}, {\"value_label\": \"25\", \"support\": 68, \"support_share\": 0.006186317321688501, \"cumulative_support\": 7627}, {\"value_label\": \"23\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"cumulative_support\": 7694}, {\"value_label\": \"32\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"cumulative_support\": 7761}, {\"value_label\": \"33\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"cumulative_support\": 7828}, {\"value_label\": \"34\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"cumulative_support\": 7895}, {\"value_label\": \"95\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"cumulative_support\": 7962}, {\"value_label\": \"18\", \"support\": 66, \"support_share\": 0.006004366812227074, \"cumulative_support\": 8028}, {\"value_label\": \"22\", \"support\": 65, \"support_share\": 0.005913391557496361, \"cumulative_support\": 8093}, {\"value_label\": \"39\", \"support\": 65, \"support_share\": 0.005913391557496361, \"cumulative_support\": 8158}, {\"value_label\": \"94\", \"support\": 64, \"support_share\": 0.005822416302765648, \"cumulative_support\": 8222}, {\"value_label\": \"97\", \"support\": 64, \"support_share\": 0.005822416302765648, \"cumulative_support\": 8286}, {\"value_label\": \"31\", \"support\": 63, \"support_share\": 0.005731441048034935, \"cumulative_support\": 8349}, {\"value_label\": \"36\", \"support\": 63, \"support_share\": 0.005731441048034935, \"cumulative_support\": 8412}, {\"value_label\": \"96\", \"support\": 63, \"support_share\": 0.005731441048034935, \"cumulative_support\": 8475}, {\"value_label\": \"29\", \"support\": 62, \"support_share\": 0.005640465793304222, \"cumulative_support\": 8537}, {\"value_label\": \"30\", \"support\": 61, \"support_share\": 0.005549490538573508, \"cumulative_support\": 8598}, {\"value_label\": \"35\", \"support\": 61, \"support_share\": 0.005549490538573508, \"cumulative_support\": 8659}, {\"value_label\": \"40\", \"support\": 61, \"support_share\": 0.005549490538573508, \"cumulative_support\": 8720}, {\"value_label\": \"88\", \"support\": 61, \"support_share\": 0.005549490538573508, \"cumulative_support\": 8781}, {\"value_label\": \"27\", \"support\": 60, \"support_share\": 0.0054585152838427945, \"cumulative_support\": 8841}, {\"value_label\": \"86\", \"support\": 60, \"support_share\": 0.0054585152838427945, \"cumulative_support\": 8901}, {\"value_label\": \"42\", \"support\": 59, \"support_share\": 0.005367540029112081, \"cumulative_support\": 8960}, {\"value_label\": \"84\", \"support\": 59, \"support_share\": 0.005367540029112081, \"cumulative_support\": 9019}, {\"value_label\": \"21\", \"support\": 56, \"support_share\": 0.005094614264919942, \"cumulative_support\": 9075}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6521b9b590b8788380e12c7e089e4f70f67c9760 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.777145+00:00", + "ended_at": "2026-05-19T16:10:15.782469+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_86a2386bd005c5f4", + "problem_id": "v2p_n9_850642349848658b", + "dataset_id": "n9", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=feature_16.", + "bindings": { + "group_col": "feature_16" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_86a2386bd005c5f4.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_86a2386bd005c5f4/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..06e4dd4ed158f9658f894bd286060149e190545a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_6, measure_col=feature_6. +Result preview: [{"feature_6": "100", "total_measure": 111500}, {"feature_6": "78", "total_measure": 16458}, {"feature_6": "79", "total_measure": 16195}, {"feature_6": "75", "total_measure": 15525}, {"feature_6": "76", "total_measure": 14668}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..10de6b4e7241aa815b35c5e69e86b1e82c4e9fb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_87e7f001cbe6b23b +-- problem_id: v2p_n9_f030a33bacaa9755 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_6", SUM(CAST("feature_6" AS NUMERIC)) AS total_measure +FROM "n9" +GROUP BY "feature_6" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ead42b8e2e991c1f50007ec03b04c65d107a8d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/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_h2o_group_sum\nSELECT \"feature_6\", SUM(CAST(\"feature_6\" AS NUMERIC)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_6\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_6\\\", SUM(CAST(\\\"feature_6\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_6\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_6\", \"total_measure\"], \"rows\": [{\"feature_6\": \"100\", \"total_measure\": 111500}, {\"feature_6\": \"78\", \"total_measure\": 16458}, {\"feature_6\": \"79\", \"total_measure\": 16195}, {\"feature_6\": \"75\", \"total_measure\": 15525}, {\"feature_6\": \"76\", \"total_measure\": 14668}, {\"feature_6\": \"72\", \"total_measure\": 14400}, {\"feature_6\": \"82\", \"total_measure\": 14268}, {\"feature_6\": \"77\", \"total_measure\": 14168}, {\"feature_6\": \"83\", \"total_measure\": 14110}, {\"feature_6\": \"80\", \"total_measure\": 14080}, {\"feature_6\": \"81\", \"total_measure\": 13689}, {\"feature_6\": \"99\", \"total_measure\": 13563}, {\"feature_6\": \"74\", \"total_measure\": 13542}, {\"feature_6\": \"88\", \"total_measure\": 13288}, {\"feature_6\": \"73\", \"total_measure\": 13140}, {\"feature_6\": \"98\", \"total_measure\": 12642}, {\"feature_6\": \"71\", \"total_measure\": 12496}, {\"feature_6\": \"70\", \"total_measure\": 12460}, {\"feature_6\": \"94\", \"total_measure\": 12408}, {\"feature_6\": \"97\", \"total_measure\": 12319}, {\"feature_6\": \"91\", \"total_measure\": 12194}, {\"feature_6\": \"85\", \"total_measure\": 11900}, {\"feature_6\": \"95\", \"total_measure\": 11875}, {\"feature_6\": \"68\", \"total_measure\": 11764}, {\"feature_6\": \"67\", \"total_measure\": 11390}, {\"feature_6\": \"87\", \"total_measure\": 11310}, {\"feature_6\": \"69\", \"total_measure\": 11247}, {\"feature_6\": \"84\", \"total_measure\": 11088}, {\"feature_6\": \"89\", \"total_measure\": 10947}, {\"feature_6\": \"86\", \"total_measure\": 10922}, {\"feature_6\": \"96\", \"total_measure\": 10560}, {\"feature_6\": \"90\", \"total_measure\": 9990}, {\"feature_6\": \"93\", \"total_measure\": 9951}, {\"feature_6\": \"92\", \"total_measure\": 9660}, {\"feature_6\": \"66\", \"total_measure\": 9438}, {\"feature_6\": \"65\", \"total_measure\": 9100}, {\"feature_6\": \"62\", \"total_measure\": 7440}, {\"feature_6\": \"63\", \"total_measure\": 7308}, {\"feature_6\": \"59\", \"total_measure\": 7257}, {\"feature_6\": \"60\", \"total_measure\": 7200}, {\"feature_6\": \"61\", \"total_measure\": 7076}, {\"feature_6\": \"64\", \"total_measure\": 6848}, {\"feature_6\": \"58\", \"total_measure\": 6670}, {\"feature_6\": \"52\", \"total_measure\": 6396}, {\"feature_6\": \"55\", \"total_measure\": 6325}, {\"feature_6\": \"56\", \"total_measure\": 6216}, {\"feature_6\": \"57\", \"total_measure\": 6156}, {\"feature_6\": \"53\", \"total_measure\": 5777}, {\"feature_6\": \"49\", \"total_measure\": 5733}, {\"feature_6\": \"50\", \"total_measure\": 5250}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..02a229e5e8ba07350aac0a85de478549796f3c9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:30:24.367983+00:00", + "ended_at": "2026-05-19T15:30:36.827735+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_87e7f001cbe6b23b", + "problem_id": "v2p_n9_f030a33bacaa9755", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_6, measure_col=feature_6.", + "bindings": { + "group_col": "feature_6", + "measure_col": "feature_6", + "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": 80.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_87e7f001cbe6b23b.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_87e7f001cbe6b23b", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 311, + "total_tokens": 15251, + "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": 12444.42, + "sql_execution_elapsed_ms_total": 9.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..348760c740453be29e31f5f2286a3a8dc18b2575 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:36.815670+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12444.42, "started_at": "2026-05-19T15:30:24.370412+00:00", "ended_at": "2026-05-19T15:30:36.814864+00:00", "prompt_metrics": {"chars": 9391, "bytes_utf8": 9391, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 311, "reasoning_output_tokens": 208}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_6\\\", SUM(CAST(\\\"feature_6\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_6\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"feature_6\\\" and measure_col=\\\"feature_6\\\". CAST is used because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e320bb091e6c2f85d6243b1534f9e9e7866f9c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_87e7f001cbe6b23b", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 311, + "total_tokens": 15251, + "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": 12444.42, + "sql_execution_elapsed_ms_total": 9.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_87e7f001cbe6b23b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd99463855baac0c5884f318bc8e39efdb860228 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"feature_14": "0", "support": 1756, "avg_response": 54.93849658314351}, {"feature_14": "100", "support": 894, "avg_response": 20.003355704697988}, {"feature_14": "25", "support": 294, "avg_response": 37.51360544217687}, {"feature_14": "1", "support": 246, "avg_response": 49.96341463414634}, {"feature_14": "2", "support": 233, "avg_response": 47.88412017167382}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8fec112f83caf0d927a4cc8d3d7b8db1abc83fe2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n9_8a436fccc17a0e52 +-- problem_id: v2p_n9_8b7ad4185b203658 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "feature_14", + COUNT(*) AS support, + AVG("feature_3") AS avg_response +FROM "n9" +GROUP BY "feature_14" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ee8d503a8b055738cc913dd6a3a91ab8240fbb18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n9_8a436fccc17a0e52\n-- problem_id: v2p_n9_8b7ad4185b203658\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"feature_14\",\n COUNT(*) AS support,\n AVG(\"feature_3\") AS avg_response\nFROM \"n9\"\nGROUP BY \"feature_14\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n9_8a436fccc17a0e52\\n-- problem_id: v2p_n9_8b7ad4185b203658\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"feature_14\\\",\\n COUNT(*) AS support,\\n AVG(\\\"feature_3\\\") AS avg_response\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"feature_14\", \"support\", \"avg_response\"], \"rows\": [{\"feature_14\": \"0\", \"support\": 1756, \"avg_response\": 54.93849658314351}, {\"feature_14\": \"100\", \"support\": 894, \"avg_response\": 20.003355704697988}, {\"feature_14\": \"25\", \"support\": 294, \"avg_response\": 37.51360544217687}, {\"feature_14\": \"1\", \"support\": 246, \"avg_response\": 49.96341463414634}, {\"feature_14\": \"2\", \"support\": 233, \"avg_response\": 47.88412017167382}, {\"feature_14\": \"32\", \"support\": 233, \"avg_response\": 38.287553648068666}, {\"feature_14\": \"24\", \"support\": 231, \"avg_response\": 37.22943722943723}, {\"feature_14\": \"34\", \"support\": 204, \"avg_response\": 38.666666666666664}, {\"feature_14\": \"27\", \"support\": 202, \"avg_response\": 39.10891089108911}, {\"feature_14\": \"4\", \"support\": 201, \"avg_response\": 49.09950248756219}, {\"feature_14\": \"28\", \"support\": 199, \"avg_response\": 38.462311557788944}, {\"feature_14\": \"26\", \"support\": 199, \"avg_response\": 37.246231155778894}, {\"feature_14\": \"23\", \"support\": 189, \"avg_response\": 40.94708994708995}, {\"feature_14\": \"29\", \"support\": 186, \"avg_response\": 36.043010752688176}, {\"feature_14\": \"31\", \"support\": 184, \"avg_response\": 40.72826086956522}, {\"feature_14\": \"30\", \"support\": 183, \"avg_response\": 36.224043715846996}, {\"feature_14\": \"3\", \"support\": 162, \"avg_response\": 50.31481481481482}, {\"feature_14\": \"5\", \"support\": 159, \"avg_response\": 48.34591194968554}, {\"feature_14\": \"33\", \"support\": 159, \"avg_response\": 40.132075471698116}, {\"feature_14\": \"35\", \"support\": 155, \"avg_response\": 42.18709677419355}, {\"feature_14\": \"22\", \"support\": 155, \"avg_response\": 40.935483870967744}, {\"feature_14\": \"6\", \"support\": 144, \"avg_response\": 54.326388888888886}, {\"feature_14\": \"36\", \"support\": 143, \"avg_response\": 40.54545454545455}, {\"feature_14\": \"7\", \"support\": 137, \"avg_response\": 55.058394160583944}, {\"feature_14\": \"20\", \"support\": 137, \"avg_response\": 47.62043795620438}, {\"feature_14\": \"39\", \"support\": 134, \"avg_response\": 45.83582089552239}, {\"feature_14\": \"38\", \"support\": 123, \"avg_response\": 42.08943089430894}, {\"feature_14\": \"21\", \"support\": 121, \"avg_response\": 42.66115702479339}, {\"feature_14\": \"37\", \"support\": 119, \"avg_response\": 46.72268907563025}, {\"feature_14\": \"8\", \"support\": 114, \"avg_response\": 48.473684210526315}, {\"feature_14\": \"40\", \"support\": 111, \"avg_response\": 45.83783783783784}, {\"feature_14\": \"9\", \"support\": 101, \"avg_response\": 53.20792079207921}, {\"feature_14\": \"14\", \"support\": 100, \"avg_response\": 58.33}, {\"feature_14\": \"95\", \"support\": 96, \"avg_response\": 16.78125}, {\"feature_14\": \"18\", \"support\": 95, \"avg_response\": 50.10526315789474}, {\"feature_14\": \"19\", \"support\": 90, \"avg_response\": 49.36666666666667}, {\"feature_14\": \"15\", \"support\": 89, \"avg_response\": 63.752808988764045}, {\"feature_14\": \"16\", \"support\": 89, \"avg_response\": 61.92134831460674}, {\"feature_14\": \"17\", \"support\": 87, \"avg_response\": 59.60919540229885}, {\"feature_14\": \"42\", \"support\": 83, \"avg_response\": 44.0722891566265}, {\"feature_14\": \"41\", \"support\": 83, \"avg_response\": 42.87951807228916}, {\"feature_14\": \"10\", \"support\": 82, \"avg_response\": 55.01219512195122}, {\"feature_14\": \"99\", \"support\": 82, \"avg_response\": 11.975609756097562}, {\"feature_14\": \"94\", \"support\": 81, \"avg_response\": 17.22222222222222}, {\"feature_14\": \"97\", \"support\": 79, \"avg_response\": 14.367088607594937}, {\"feature_14\": \"13\", \"support\": 78, \"avg_response\": 53.8974358974359}, {\"feature_14\": \"43\", \"support\": 77, \"avg_response\": 47.48051948051948}, {\"feature_14\": \"98\", \"support\": 77, \"avg_response\": 14.025974025974026}, {\"feature_14\": \"45\", \"support\": 74, \"avg_response\": 51.810810810810814}, {\"feature_14\": \"96\", \"support\": 73, \"avg_response\": 16.561643835616437}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bf1da52a603c382fd14c51f989a8e5980ea033b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.915870+00:00", + "ended_at": "2026-05-19T16:10:15.921902+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_8a436fccc17a0e52", + "problem_id": "v2p_n9_8b7ad4185b203658", + "dataset_id": "n9", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=feature_3, key_col=feature_14.", + "bindings": { + "key_col": "feature_14", + "measure_col": "feature_3", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_8a436fccc17a0e52.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8a436fccc17a0e52/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9722330bff04e6a021ab2bb8afc25fc150abf105 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 1568, "support_share": 0.14264919941775836, "support_rank": 1}, {"value_label": "100", "support": 1155, "support_share": 0.1050764192139738, "support_rank": 2}, {"value_label": "66", "support": 159, "support_share": 0.014465065502183407, "support_rank": 3}, {"value_label": "68", "support": 130, "support_share": 0.011826783114992722, "support_rank": 4}, {"value_label": "65", "support": 128, "support_share": 0.011644832605531296, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..19bf6b23abfb9b8e42fe3f116311b187b23c88fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n9_8afa10369311830e +-- problem_id: v2p_n9_a750f4406a8c68b4 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_5" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_5" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ba97e84c8c3089d9fd47d1c04c0e4bcb5ca1cccf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n9_8afa10369311830e\n-- problem_id: v2p_n9_a750f4406a8c68b4\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_5\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_5\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n9_8afa10369311830e\\n-- problem_id: v2p_n9_a750f4406a8c68b4\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_5\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 1568, \"support_share\": 0.14264919941775836, \"support_rank\": 1}, {\"value_label\": \"100\", \"support\": 1155, \"support_share\": 0.1050764192139738, \"support_rank\": 2}, {\"value_label\": \"66\", \"support\": 159, \"support_share\": 0.014465065502183407, \"support_rank\": 3}, {\"value_label\": \"68\", \"support\": 130, \"support_share\": 0.011826783114992722, \"support_rank\": 4}, {\"value_label\": \"65\", \"support\": 128, \"support_share\": 0.011644832605531296, \"support_rank\": 5}, {\"value_label\": \"62\", \"support\": 127, \"support_share\": 0.011553857350800582, \"support_rank\": 6}, {\"value_label\": \"60\", \"support\": 120, \"support_share\": 0.010917030567685589, \"support_rank\": 7}, {\"value_label\": \"64\", \"support\": 114, \"support_share\": 0.01037117903930131, \"support_rank\": 8}, {\"value_label\": \"67\", \"support\": 114, \"support_share\": 0.01037117903930131, \"support_rank\": 9}, {\"value_label\": \"61\", \"support\": 113, \"support_share\": 0.010280203784570598, \"support_rank\": 10}, {\"value_label\": \"70\", \"support\": 112, \"support_share\": 0.010189228529839884, \"support_rank\": 11}, {\"value_label\": \"73\", \"support\": 111, \"support_share\": 0.01009825327510917, \"support_rank\": 12}, {\"value_label\": \"74\", \"support\": 111, \"support_share\": 0.01009825327510917, \"support_rank\": 13}, {\"value_label\": \"76\", \"support\": 110, \"support_share\": 0.010007278020378457, \"support_rank\": 14}, {\"value_label\": \"69\", \"support\": 107, \"support_share\": 0.009734352256186317, \"support_rank\": 15}, {\"value_label\": \"81\", \"support\": 106, \"support_share\": 0.009643377001455605, \"support_rank\": 16}, {\"value_label\": \"52\", \"support\": 105, \"support_share\": 0.00955240174672489, \"support_rank\": 17}, {\"value_label\": \"59\", \"support\": 105, \"support_share\": 0.00955240174672489, \"support_rank\": 18}, {\"value_label\": \"78\", \"support\": 105, \"support_share\": 0.00955240174672489, \"support_rank\": 19}, {\"value_label\": \"22\", \"support\": 104, \"support_share\": 0.009461426491994178, \"support_rank\": 20}, {\"value_label\": \"57\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 21}, {\"value_label\": \"63\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 22}, {\"value_label\": \"71\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 23}, {\"value_label\": \"77\", \"support\": 102, \"support_share\": 0.009279475982532752, \"support_rank\": 24}, {\"value_label\": \"56\", \"support\": 99, \"support_share\": 0.009006550218340612, \"support_rank\": 25}, {\"value_label\": \"54\", \"support\": 98, \"support_share\": 0.008915574963609897, \"support_rank\": 26}, {\"value_label\": \"58\", \"support\": 98, \"support_share\": 0.008915574963609897, \"support_rank\": 27}, {\"value_label\": \"79\", \"support\": 98, \"support_share\": 0.008915574963609897, \"support_rank\": 28}, {\"value_label\": \"49\", \"support\": 97, \"support_share\": 0.008824599708879185, \"support_rank\": 29}, {\"value_label\": \"55\", \"support\": 97, \"support_share\": 0.008824599708879185, \"support_rank\": 30}, {\"value_label\": \"83\", \"support\": 96, \"support_share\": 0.008733624454148471, \"support_rank\": 31}, {\"value_label\": \"50\", \"support\": 94, \"support_share\": 0.008551673944687045, \"support_rank\": 32}, {\"value_label\": \"47\", \"support\": 93, \"support_share\": 0.008460698689956333, \"support_rank\": 33}, {\"value_label\": \"72\", \"support\": 92, \"support_share\": 0.008369723435225618, \"support_rank\": 34}, {\"value_label\": \"19\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 35}, {\"value_label\": \"82\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 36}, {\"value_label\": \"45\", \"support\": 90, \"support_share\": 0.008187772925764192, \"support_rank\": 37}, {\"value_label\": \"38\", \"support\": 89, \"support_share\": 0.008096797671033478, \"support_rank\": 38}, {\"value_label\": \"16\", \"support\": 88, \"support_share\": 0.008005822416302766, \"support_rank\": 39}, {\"value_label\": \"88\", \"support\": 88, \"support_share\": 0.008005822416302766, \"support_rank\": 40}, {\"value_label\": \"48\", \"support\": 87, \"support_share\": 0.007914847161572052, \"support_rank\": 41}, {\"value_label\": \"51\", \"support\": 87, \"support_share\": 0.007914847161572052, \"support_rank\": 42}, {\"value_label\": \"53\", \"support\": 87, \"support_share\": 0.007914847161572052, \"support_rank\": 43}, {\"value_label\": \"85\", \"support\": 86, \"support_share\": 0.00782387190684134, \"support_rank\": 44}, {\"value_label\": \"11\", \"support\": 85, \"support_share\": 0.007732896652110626, \"support_rank\": 45}, {\"value_label\": \"26\", \"support\": 85, \"support_share\": 0.007732896652110626, \"support_rank\": 46}, {\"value_label\": \"92\", \"support\": 84, \"support_share\": 0.007641921397379912, \"support_rank\": 47}, {\"value_label\": \"21\", \"support\": 82, \"support_share\": 0.007459970887918486, \"support_rank\": 48}, {\"value_label\": \"18\", \"support\": 81, \"support_share\": 0.007368995633187773, \"support_rank\": 49}, {\"value_label\": \"44\", \"support\": 81, \"support_share\": 0.007368995633187773, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.48}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..edffcf89bb23db03c05c90df37d0457d36b1fed4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.800248+00:00", + "ended_at": "2026-05-19T16:10:15.805547+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_8afa10369311830e", + "problem_id": "v2p_n9_a750f4406a8c68b4", + "dataset_id": "n9", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=feature_5.", + "bindings": { + "group_col": "feature_5" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_8afa10369311830e.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8afa10369311830e/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..41882da160ec3e96f94ba2e9f7d4203f18d2b4a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_11, measure_col=feature_15. +Result preview: [{"feature_11": "0", "group_value": 123045.0}, {"feature_11": "100", "group_value": 56070.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3bc3ff211df2fb6914aac7d86680624c5d216e77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_8b1b87b2fecc9e09 +-- problem_id: v2p_n9_05b03706d147d4f4 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "feature_11", + SUM(CAST("feature_15" AS REAL)) AS "group_value" + FROM "n9" + GROUP BY "feature_11" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."feature_11", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e6d259100dd8ab00a42708a6f34289dc039ca52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/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_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_11\",\n SUM(CAST(\"feature_15\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_11\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_11\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_11\\\",\\n SUM(CAST(\\\"feature_15\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_11\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_11\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"feature_11\", \"group_value\"], \"rows\": [{\"feature_11\": \"0\", \"group_value\": 123045.0}, {\"feature_11\": \"100\", \"group_value\": 56070.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..feb401b279c943ce1ea9bdeb63421593e219a28b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:48:46.642912+00:00", + "ended_at": "2026-05-19T15:49:04.990412+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_8b1b87b2fecc9e09", + "problem_id": "v2p_n9_05b03706d147d4f4", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_11, measure_col=feature_15.", + "bindings": { + "group_col": "feature_11", + "measure_col": "feature_15", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_8b1b87b2fecc9e09.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8b1b87b2fecc9e09", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 695, + "total_tokens": 15771, + "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": 18333.13, + "sql_execution_elapsed_ms_total": 9.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6db69f935e60b677db96aa498dfba2eca404f2c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:04.978959+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18333.13, "started_at": "2026-05-19T15:48:46.644649+00:00", "ended_at": "2026-05-19T15:49:04.977821+00:00", "prompt_metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 739, "bytes_utf8": 739, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 695, "reasoning_output_tokens": 482}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_11\\\",\\n SUM(CAST(\\\"feature_15\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_11\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_11\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"feature_11\\\", measure_col=\\\"feature_15\\\", and fraction_threshold=0.1. CAST is used because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a6d1d4df81bc0cbc3f3e7284671cd2b26f157ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8b1b87b2fecc9e09", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 695, + "total_tokens": 15771, + "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": 18333.13, + "sql_execution_elapsed_ms_total": 9.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8b1b87b2fecc9e09/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3083493f6ea4d58b55d9e55b08f40573797ccd0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/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=feature_4, group_col_2=feature_14. +Result preview: [{"feature_4": "100", "feature_14": "0", "row_count": 1349}, {"feature_4": "100", "feature_14": "1", "row_count": 188}, {"feature_4": "100", "feature_14": "2", "row_count": 161}, {"feature_4": "100", "feature_14": "4", "row_count": 139}, {"feature_4": "100", "feature_14": "5", "row_count": 123}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..57035fc0aec4144db0208be5909192c46c264511 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- 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_n9_8e1d994c189ea724 +-- problem_id: v2p_n9_0120310f39e4dd18 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_4", "feature_14", COUNT(*) AS row_count +FROM "n9" +WHERE CAST("feature_4" AS REAL) >= 100.0 +GROUP BY "feature_4", "feature_14" +ORDER BY row_count DESC, "feature_4", "feature_14"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2bf66f8033bb9d0fb66f54daedd62aa3ac5a0838 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/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 \"feature_4\", \"feature_14\", COUNT(*) AS row_count\nFROM \"n9\"\nWHERE CAST(\"feature_4\" AS REAL) >= 100.0\nGROUP BY \"feature_4\", \"feature_14\"\nORDER BY row_count DESC, \"feature_4\", \"feature_14\";", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_14\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_4\\\" AS REAL) >= 100.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_14\\\"\\nORDER BY row_count DESC, \\\"feature_4\\\", \\\"feature_14\\\";\", \"columns\": [\"feature_4\", \"feature_14\", \"row_count\"], \"rows\": [{\"feature_4\": \"100\", \"feature_14\": \"0\", \"row_count\": 1349}, {\"feature_4\": \"100\", \"feature_14\": \"1\", \"row_count\": 188}, {\"feature_4\": \"100\", \"feature_14\": \"2\", \"row_count\": 161}, {\"feature_4\": \"100\", \"feature_14\": \"4\", \"row_count\": 139}, {\"feature_4\": \"100\", \"feature_14\": \"5\", \"row_count\": 123}, {\"feature_4\": \"100\", \"feature_14\": \"3\", \"row_count\": 120}, {\"feature_4\": \"100\", \"feature_14\": \"6\", \"row_count\": 106}, {\"feature_4\": \"100\", \"feature_14\": \"7\", \"row_count\": 101}, {\"feature_4\": \"100\", \"feature_14\": \"8\", \"row_count\": 81}, {\"feature_4\": \"100\", \"feature_14\": \"9\", \"row_count\": 73}, {\"feature_4\": \"100\", \"feature_14\": \"34\", \"row_count\": 68}, {\"feature_4\": \"100\", \"feature_14\": \"10\", \"row_count\": 62}, {\"feature_4\": \"100\", \"feature_14\": \"32\", \"row_count\": 60}, {\"feature_4\": \"100\", \"feature_14\": \"27\", \"row_count\": 56}, {\"feature_4\": \"100\", \"feature_14\": \"39\", \"row_count\": 55}, {\"feature_4\": \"100\", \"feature_14\": \"40\", \"row_count\": 55}, {\"feature_4\": \"100\", \"feature_14\": \"29\", \"row_count\": 53}, {\"feature_4\": \"100\", \"feature_14\": \"13\", \"row_count\": 50}, {\"feature_4\": \"100\", \"feature_14\": \"28\", \"row_count\": 50}, {\"feature_4\": \"100\", \"feature_14\": \"36\", \"row_count\": 48}, {\"feature_4\": \"100\", \"feature_14\": \"17\", \"row_count\": 47}, {\"feature_4\": \"100\", \"feature_14\": \"38\", \"row_count\": 47}, {\"feature_4\": \"100\", \"feature_14\": \"33\", \"row_count\": 46}, {\"feature_4\": \"100\", \"feature_14\": \"35\", \"row_count\": 46}, {\"feature_4\": \"100\", \"feature_14\": \"14\", \"row_count\": 45}, {\"feature_4\": \"100\", \"feature_14\": \"12\", \"row_count\": 44}, {\"feature_4\": \"100\", \"feature_14\": \"31\", \"row_count\": 44}, {\"feature_4\": \"100\", \"feature_14\": \"37\", \"row_count\": 44}, {\"feature_4\": \"100\", \"feature_14\": \"30\", \"row_count\": 43}, {\"feature_4\": \"100\", \"feature_14\": \"24\", \"row_count\": 41}, {\"feature_4\": \"100\", \"feature_14\": \"45\", \"row_count\": 40}, {\"feature_4\": \"100\", \"feature_14\": \"11\", \"row_count\": 39}, {\"feature_4\": \"100\", \"feature_14\": \"41\", \"row_count\": 38}, {\"feature_4\": \"100\", \"feature_14\": \"16\", \"row_count\": 36}, {\"feature_4\": \"100\", \"feature_14\": \"23\", \"row_count\": 35}, {\"feature_4\": \"100\", \"feature_14\": \"26\", \"row_count\": 34}, {\"feature_4\": \"100\", \"feature_14\": \"42\", \"row_count\": 34}, {\"feature_4\": \"100\", \"feature_14\": \"44\", \"row_count\": 34}, {\"feature_4\": \"100\", \"feature_14\": \"48\", \"row_count\": 34}, {\"feature_4\": \"100\", \"feature_14\": \"25\", \"row_count\": 33}, {\"feature_4\": \"100\", \"feature_14\": \"47\", \"row_count\": 33}, {\"feature_4\": \"100\", \"feature_14\": \"18\", \"row_count\": 32}, {\"feature_4\": \"100\", \"feature_14\": \"19\", \"row_count\": 32}, {\"feature_4\": \"100\", \"feature_14\": \"43\", \"row_count\": 29}, {\"feature_4\": \"100\", \"feature_14\": \"46\", \"row_count\": 29}, {\"feature_4\": \"100\", \"feature_14\": \"15\", \"row_count\": 28}, {\"feature_4\": \"100\", \"feature_14\": \"21\", \"row_count\": 26}, {\"feature_4\": \"100\", \"feature_14\": \"22\", \"row_count\": 26}, {\"feature_4\": \"100\", \"feature_14\": \"50\", \"row_count\": 25}, {\"feature_4\": \"100\", \"feature_14\": \"20\", \"row_count\": 24}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..286ab97cffad86e8f84f28b10730e1637d86635f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:42:44.838347+00:00", + "ended_at": "2026-05-19T15:43:00.037422+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_8e1d994c189ea724", + "problem_id": "v2p_n9_0120310f39e4dd18", + "dataset_id": "n9", + "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=feature_4, group_col_2=feature_14.", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_14", + "predicate_col": "feature_4", + "predicate_op": ">=", + "predicate_value": 100.0, + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74.0, + "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=7", + "sql_variant_index=1/1", + "binding_index=54" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_8e1d994c189ea724.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8e1d994c189ea724", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 659, + "total_tokens": 15695, + "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": 15188.48, + "sql_execution_elapsed_ms_total": 6.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..14b3734b2dea9ec6b4a4a8270731f1b7e5d3f2de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:00.029554+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15188.48, "started_at": "2026-05-19T15:42:44.839603+00:00", "ended_at": "2026-05-19T15:43:00.028116+00:00", "prompt_metrics": {"chars": 9704, "bytes_utf8": 9704, "lines": 304, "estimated_tokens": null}, "response_metrics": {"chars": 497, "bytes_utf8": 497, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 12032, "output_tokens": 659, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_14\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_4\\\" AS REAL) >= 100.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_14\\\"\\nORDER BY row_count DESC, \\\"feature_4\\\", \\\"feature_14\\\";\",\"notes\":\"Used the planned Filtered Two-Dimensional Group Count template with \\\"feature_4\\\" and \\\"feature_14\\\" as the grouping columns. The filter casts \\\"feature_4\\\" to REAL because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e8b16c4ee76a1367be89ed6a446a225727dd6b28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8e1d994c189ea724", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 659, + "total_tokens": 15695, + "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": 15188.48, + "sql_execution_elapsed_ms_total": 6.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e1d994c189ea724/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7831dd21d65d430e00b5698df6cfddbb2aedfd32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_8, measure_col=feature_9. +Result preview: [{"feature_8": "16", "feature_10": "0", "total_measure": 1940.0, "share_within_group": 62.58064516129032}, {"feature_8": "27", "feature_10": "0", "total_measure": 2845.0, "share_within_group": 62.54121785007694}, {"feature_8": "19", "feature_10": "0", "total_measure": 2129.0, "share_within_group": 62.19690330119778}, {"feature_8": "18", "feature_10": "0", "total_measure": 2201.0, "share_within_group": 61.6699355561782}, {"feature_8": "20", "feature_10": "0", "total_measure": 2465.0, "share_within_group": 61.36420214090117}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e26c6a39dbdef0aa8023bbecd033f5b6ec115ae5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_8e2ef544a2699965 +-- problem_id: v2p_n9_77eb3a5f0dbf4cf3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_8", + "feature_10", + SUM(CAST("feature_9" AS REAL)) AS total_measure, + SUM(CAST("feature_9" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_9" AS REAL))) OVER (PARTITION BY "feature_8") AS share_within_group +FROM "n9" +GROUP BY "feature_8", "feature_10" +ORDER BY share_within_group DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e972f8d65e7697d0c715a59ee1f26d4251d1479c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/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_tpcds_within_group_share\nSELECT\n \"feature_8\",\n \"feature_10\",\n SUM(CAST(\"feature_9\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_9\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_9\" AS REAL))) OVER (PARTITION BY \"feature_8\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_8\", \"feature_10\"\nORDER BY share_within_group DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_8\\\",\\n \\\"feature_10\\\",\\n SUM(CAST(\\\"feature_9\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_9\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_9\\\" AS REAL))) OVER (PARTITION BY \\\"feature_8\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\", \\\"feature_10\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\", \"columns\": [\"feature_8\", \"feature_10\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_8\": \"16\", \"feature_10\": \"0\", \"total_measure\": 1940.0, \"share_within_group\": 62.58064516129032}, {\"feature_8\": \"27\", \"feature_10\": \"0\", \"total_measure\": 2845.0, \"share_within_group\": 62.54121785007694}, {\"feature_8\": \"19\", \"feature_10\": \"0\", \"total_measure\": 2129.0, \"share_within_group\": 62.19690330119778}, {\"feature_8\": \"18\", \"feature_10\": \"0\", \"total_measure\": 2201.0, \"share_within_group\": 61.6699355561782}, {\"feature_8\": \"20\", \"feature_10\": \"0\", \"total_measure\": 2465.0, \"share_within_group\": 61.36420214090117}, {\"feature_8\": \"21\", \"feature_10\": \"0\", \"total_measure\": 2015.0, \"share_within_group\": 60.711057547454054}, {\"feature_8\": \"22\", \"feature_10\": \"0\", \"total_measure\": 2399.0, \"share_within_group\": 57.890926640926644}, {\"feature_8\": \"23\", \"feature_10\": \"0\", \"total_measure\": 2107.0, \"share_within_group\": 56.41231593038822}, {\"feature_8\": \"33\", \"feature_10\": \"0\", \"total_measure\": 3651.0, \"share_within_group\": 55.723443223443226}, {\"feature_8\": \"36\", \"feature_10\": \"0\", \"total_measure\": 4484.0, \"share_within_group\": 53.165757647616786}, {\"feature_8\": \"26\", \"feature_10\": \"0\", \"total_measure\": 2012.0, \"share_within_group\": 53.14315900686741}, {\"feature_8\": \"24\", \"feature_10\": \"0\", \"total_measure\": 2294.0, \"share_within_group\": 52.74775810531157}, {\"feature_8\": \"13\", \"feature_10\": \"0\", \"total_measure\": 1357.0, \"share_within_group\": 50.88113985751781}, {\"feature_8\": \"17\", \"feature_10\": \"0\", \"total_measure\": 1795.0, \"share_within_group\": 49.626762510367705}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 35.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1b815747e1eea086951742fb86d708e1b15cae93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:34:15.328486+00:00", + "ended_at": "2026-05-19T15:34:26.620590+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_8e2ef544a2699965", + "problem_id": "v2p_n9_77eb3a5f0dbf4cf3", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_8, measure_col=feature_9.", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_9", + "item_col": "feature_10", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 89.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_8e2ef544a2699965.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8e2ef544a2699965", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 607, + "total_tokens": 15667, + "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": 11249.02, + "sql_execution_elapsed_ms_total": 35.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef6d3f4e63013c94edc5e9c418ea2a4c830349a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:26.582046+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11249.02, "started_at": "2026-05-19T15:34:15.331388+00:00", "ended_at": "2026-05-19T15:34:26.580459+00:00", "prompt_metrics": {"chars": 9801, "bytes_utf8": 9801, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 661, "bytes_utf8": 661, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 13696, "output_tokens": 607, "reasoning_output_tokens": 409}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_8\\\",\\n \\\"feature_10\\\",\\n SUM(CAST(\\\"feature_9\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_9\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_9\\\" AS REAL))) OVER (PARTITION BY \\\"feature_8\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\", \\\"feature_10\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_8\\\", item_col=\\\"feature_10\\\", and measure_col=\\\"feature_9\\\". Cast \\\"feature_9\\\" from TEXT to REAL for SQLite-safe numeric aggregation, and used LIMIT 14 from the provided top_k binding.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92e0da96358c79b8c4047406d8747b97a1856555 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8e2ef544a2699965", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 13696, + "output_tokens": 607, + "total_tokens": 15667, + "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": 11249.02, + "sql_execution_elapsed_ms_total": 35.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8e2ef544a2699965/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..242cbd66166344665f2d87d585c467d7c31ad573 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_14. +Result preview: [{"feature_14": 100.0}, {"feature_14": 100.0}, {"feature_14": 100.0}, {"feature_14": 100.0}, {"feature_14": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cd0de46c58d4bb2c7af3123f9acf1cb709347ffe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n9_8fb8cc3b4d18fbc4 +-- problem_id: v2p_n9_d824a8446a4806aa +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("feature_14" AS REAL) AS "feature_14", + NTILE(10) OVER (ORDER BY CAST("feature_14" AS REAL) DESC) AS "tail_bucket" + FROM "n9" +) +SELECT "feature_14" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "feature_14" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..96220a13f9cdc01e0735d071a1566cac61942768 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/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_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"feature_14\" AS REAL) AS \"feature_14\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_14\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n9\"\n)\nSELECT \"feature_14\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_14\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"feature_14\\\" AS REAL) AS \\\"feature_14\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_14\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_14\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_14\\\" DESC;\", \"columns\": [\"feature_14\"], \"rows\": [{\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}, {\"feature_14\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 18.06}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..98eb858129e713e9cb398ba010a35a49de8b88a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:44:06.145551+00:00", + "ended_at": "2026-05-19T15:44:18.441135+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_8fb8cc3b4d18fbc4", + "problem_id": "v2p_n9_d824a8446a4806aa", + "dataset_id": "n9", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_14.", + "bindings": { + "measure_col": "feature_14", + "top_k": 11, + "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": 47.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=61" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_8fb8cc3b4d18fbc4.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8fb8cc3b4d18fbc4", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 12032, + "output_tokens": 513, + "total_tokens": 15504, + "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": 12273.6, + "sql_execution_elapsed_ms_total": 18.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4bffe1ac37b8aa014a29e22a4964dcebfe20b0f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:18.421520+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12273.6, "started_at": "2026-05-19T15:44:06.147086+00:00", "ended_at": "2026-05-19T15:44:18.420718+00:00", "prompt_metrics": {"chars": 9559, "bytes_utf8": 9559, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 546, "bytes_utf8": 546, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 12032, "output_tokens": 513, "reasoning_output_tokens": 352}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"feature_14\\\" AS REAL) AS \\\"feature_14\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_14\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_14\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_14\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"feature_14\\\" and num_tiles fixed at 10. Cast to REAL because the SQLite column is stored as TEXT but represents numeric values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4771123dfb2395754d7a8a694f3bf2c87ec3c5b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8fb8cc3b4d18fbc4", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 12032, + "output_tokens": 513, + "total_tokens": 15504, + "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": 12273.6, + "sql_execution_elapsed_ms_total": 18.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fb8cc3b4d18fbc4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c40df5ffaf13398f3b1cd1f762d5b4622ee9c111 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_5, measure_col=feature_5. +Result preview: [{"feature_5": "100", "total_measure": 115500}, {"feature_5": "66", "total_measure": 10494}, {"feature_5": "68", "total_measure": 8840}, {"feature_5": "81", "total_measure": 8586}, {"feature_5": "76", "total_measure": 8360}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..27ebc4ba27fc194a010a5d80ae0a66c0a413d434 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_8fba9afb5d5100c2 +-- problem_id: v2p_n9_3f4cd1cf460fc81b +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_5", SUM(CAST("feature_5" AS INTEGER)) AS "total_measure" +FROM "n9" +GROUP BY "feature_5" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c735410d22045b1e45d36a919eaafaef82c1733 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/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_h2o_group_sum\nSELECT \"feature_5\", SUM(CAST(\"feature_5\" AS INTEGER)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_5\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_5\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"feature_5\", \"total_measure\"], \"rows\": [{\"feature_5\": \"100\", \"total_measure\": 115500}, {\"feature_5\": \"66\", \"total_measure\": 10494}, {\"feature_5\": \"68\", \"total_measure\": 8840}, {\"feature_5\": \"81\", \"total_measure\": 8586}, {\"feature_5\": \"76\", \"total_measure\": 8360}, {\"feature_5\": \"65\", \"total_measure\": 8320}, {\"feature_5\": \"74\", \"total_measure\": 8214}, {\"feature_5\": \"78\", \"total_measure\": 8190}, {\"feature_5\": \"73\", \"total_measure\": 8103}, {\"feature_5\": \"83\", \"total_measure\": 7968}, {\"feature_5\": \"62\", \"total_measure\": 7874}, {\"feature_5\": \"77\", \"total_measure\": 7854}, {\"feature_5\": \"70\", \"total_measure\": 7840}, {\"feature_5\": \"88\", \"total_measure\": 7744}, {\"feature_5\": \"79\", \"total_measure\": 7742}, {\"feature_5\": \"92\", \"total_measure\": 7728}, {\"feature_5\": \"67\", \"total_measure\": 7638}, {\"feature_5\": \"82\", \"total_measure\": 7462}, {\"feature_5\": \"69\", \"total_measure\": 7383}, {\"feature_5\": \"85\", \"total_measure\": 7310}, {\"feature_5\": \"64\", \"total_measure\": 7296}, {\"feature_5\": \"71\", \"total_measure\": 7242}, {\"feature_5\": \"60\", \"total_measure\": 7200}, {\"feature_5\": \"90\", \"total_measure\": 7110}, {\"feature_5\": \"87\", \"total_measure\": 7047}, {\"feature_5\": \"61\", \"total_measure\": 6893}, {\"feature_5\": \"89\", \"total_measure\": 6764}, {\"feature_5\": \"96\", \"total_measure\": 6624}, {\"feature_5\": \"72\", \"total_measure\": 6624}, {\"feature_5\": \"95\", \"total_measure\": 6555}, {\"feature_5\": \"91\", \"total_measure\": 6552}, {\"feature_5\": \"84\", \"total_measure\": 6552}, {\"feature_5\": \"63\", \"total_measure\": 6426}, {\"feature_5\": \"80\", \"total_measure\": 6240}, {\"feature_5\": \"59\", \"total_measure\": 6195}, {\"feature_5\": \"93\", \"total_measure\": 6138}, {\"feature_5\": \"75\", \"total_measure\": 6000}, {\"feature_5\": \"94\", \"total_measure\": 5828}, {\"feature_5\": \"97\", \"total_measure\": 5820}, {\"feature_5\": \"57\", \"total_measure\": 5814}, {\"feature_5\": \"58\", \"total_measure\": 5684}, {\"feature_5\": \"86\", \"total_measure\": 5590}, {\"feature_5\": \"56\", \"total_measure\": 5544}, {\"feature_5\": \"52\", \"total_measure\": 5460}, {\"feature_5\": \"55\", \"total_measure\": 5335}, {\"feature_5\": \"54\", \"total_measure\": 5292}, {\"feature_5\": \"49\", \"total_measure\": 4753}, {\"feature_5\": \"50\", \"total_measure\": 4700}, {\"feature_5\": \"53\", \"total_measure\": 4611}, {\"feature_5\": \"51\", \"total_measure\": 4437}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bcb811c7ab07890d722bc6348446838f976b6a94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:29:52.840858+00:00", + "ended_at": "2026-05-19T15:30:12.445519+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_8fba9afb5d5100c2", + "problem_id": "v2p_n9_3f4cd1cf460fc81b", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_5, measure_col=feature_5.", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_5", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 69.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_8fba9afb5d5100c2.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8fba9afb5d5100c2", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 428, + "total_tokens": 15368, + "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": 19595.43, + "sql_execution_elapsed_ms_total": 5.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad176bd2462838b6cb44c79e0aa510f6b98ac7a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:12.438948+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19595.43, "started_at": "2026-05-19T15:29:52.842621+00:00", "ended_at": "2026-05-19T15:30:12.438082+00:00", "prompt_metrics": {"chars": 9390, "bytes_utf8": 9390, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 387, "bytes_utf8": 387, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 428, "reasoning_output_tokens": 316}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_5\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"feature_5\\\" and measure_col=\\\"feature_5\\\". Cast \\\"feature_5\\\" from TEXT to INTEGER so the sum is numeric in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f6a12c37b37aee953d4a62a424700c77645e7b74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_8fba9afb5d5100c2", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 428, + "total_tokens": 15368, + "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": 19595.43, + "sql_execution_elapsed_ms_total": 5.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_8fba9afb5d5100c2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd5371cab2866c4e338f82d087a397b9838434a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=class, condition_col=class. +Result preview: [{"class": "4", "condition_rate": 1.0}, {"class": "9", "condition_rate": 0.0}, {"class": "8", "condition_rate": 0.0}, {"class": "7", "condition_rate": 0.0}, {"class": "6", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e63c1cb41bc36481180e5b320b4d09c7ea2aaa27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_9173874fab20c730 +-- problem_id: v2p_n9_5ca1cf7a62b1bca9 +-- realization_mode: agent +-- source_kind: agent +SELECT "class", + AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS condition_rate +FROM "n9" +GROUP BY "class" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e94be5c8c143c65c98dee82f91b4e5398f098f73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/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_group_condition_rate\nSELECT \"class\",\n AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"class\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"class\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"class\", \"condition_rate\"], \"rows\": [{\"class\": \"4\", \"condition_rate\": 1.0}, {\"class\": \"9\", \"condition_rate\": 0.0}, {\"class\": \"8\", \"condition_rate\": 0.0}, {\"class\": \"7\", \"condition_rate\": 0.0}, {\"class\": \"6\", \"condition_rate\": 0.0}, {\"class\": \"5\", \"condition_rate\": 0.0}, {\"class\": \"3\", \"condition_rate\": 0.0}, {\"class\": \"2\", \"condition_rate\": 0.0}, {\"class\": \"1\", \"condition_rate\": 0.0}, {\"class\": \"0\", \"condition_rate\": 0.0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..86a510237b2e3f65f0aec94ebc5c9de659804af5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:02:57.064594+00:00", + "ended_at": "2026-05-19T16:03:05.523893+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_9173874fab20c730", + "problem_id": "v2p_n9_5ca1cf7a62b1bca9", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=class, condition_col=class.", + "bindings": { + "group_col": "class", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "top_k": 16, + "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": 86.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_9173874fab20c730.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9173874fab20c730", + "api_calls": 0, + "input_tokens": 14994, + "cached_input_tokens": 13696, + "output_tokens": 292, + "total_tokens": 15286, + "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": 8447.33, + "sql_execution_elapsed_ms_total": 7.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..09b4fe75d4acb81eff1c7cfd96a8e5a98516fa92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:05.514203+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8447.33, "started_at": "2026-05-19T16:02:57.065748+00:00", "ended_at": "2026-05-19T16:03:05.513107+00:00", "prompt_metrics": {"chars": 9616, "bytes_utf8": 9616, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 509, "bytes_utf8": 509, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14994, "cached_input_tokens": 13696, "output_tokens": 292, "reasoning_output_tokens": 158}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"class\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template exactly with group_col=\\\"class\\\" and condition_col=\\\"class\\\" using condition_value '4'. Because the grouping column and condition column are the same, the result is deterministic by class: class '4' gets 1.0 and other classes get 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..543095e66950ff99fec4eeb9b45762f6d977c956 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9173874fab20c730", + "api_calls": 0, + "input_tokens": 14994, + "cached_input_tokens": 13696, + "output_tokens": 292, + "total_tokens": 15286, + "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": 8447.33, + "sql_execution_elapsed_ms_total": 7.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9173874fab20c730/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..429042fc859e7652de87ebabe3d4ec346c20a38a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_7, measure_col=feature_11. +Result preview: [{"feature_7": "0", "group_value": 84550.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4fc431a6efc6d1e3f92e9accbde111acc2141111 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_92494a79eccf8e23 +-- problem_id: v2p_n9_466e67f3a2d19526 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "feature_7", + SUM(CAST("feature_11" AS REAL)) AS "group_value" + FROM "n9" + GROUP BY "feature_7" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."feature_7", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d8f16625ff008a1672b7690e1394394df9439873 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/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_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_7\",\n SUM(CAST(\"feature_11\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_7\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_7\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_7\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_7\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"feature_7\", \"group_value\"], \"rows\": [{\"feature_7\": \"0\", \"group_value\": 84550.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a22fa91a454ef27244308bc5965ab99b7dfef745 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:47:06.063552+00:00", + "ended_at": "2026-05-19T15:47:18.010054+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_92494a79eccf8e23", + "problem_id": "v2p_n9_466e67f3a2d19526", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_7, measure_col=feature_11.", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_11", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 97.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_92494a79eccf8e23.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_92494a79eccf8e23", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 594, + "total_tokens": 15670, + "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": 11935.2, + "sql_execution_elapsed_ms_total": 6.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1f85a103c8fb7a254569d37858fff2e8f03a283b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:18.001488+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11935.2, "started_at": "2026-05-19T15:47:06.065149+00:00", "ended_at": "2026-05-19T15:47:18.000390+00:00", "prompt_metrics": {"chars": 9945, "bytes_utf8": 9945, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 717, "bytes_utf8": 717, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 594, "reasoning_output_tokens": 378}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_7\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_7\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_7\\\", measure_col=\\\"feature_11\\\", and fraction_threshold=0.1. Cast \\\"feature_11\\\" from TEXT to REAL for SQLite-safe aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..de3e383f2984bf585fc32ab4977d6d1f1f09b769 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_92494a79eccf8e23", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 594, + "total_tokens": 15670, + "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": 11935.2, + "sql_execution_elapsed_ms_total": 6.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_92494a79eccf8e23/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b62316e953943c78405d10653fbec4830b4c2df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_10, measure_col=feature_11. +Result preview: [{"feature_10": "1", "feature_12": "0", "total_measure": 2205.0, "share_within_group": 60.928433268858804}, {"feature_10": "5", "feature_12": "0", "total_measure": 2091.0, "share_within_group": 55.87920897915553}, {"feature_10": "97", "feature_12": "65", "total_measure": 278.0, "share_within_group": 52.851711026615966}, {"feature_10": "75", "feature_12": "50", "total_measure": 8797.0, "share_within_group": 51.804958483010424}, {"feature_10": "2", "feature_12": "0", "total_measure": 1386.0, "share_within_group": 51.06853352984525}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e9f2cce32a1308590b0f26675bcd88e17bdfdb40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_924ff65dde50a4a3 +-- problem_id: v2p_n9_7a1120b5cd091363 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_10", "feature_12", + SUM(CAST("feature_11" AS REAL)) AS total_measure, + SUM(CAST("feature_11" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_11" AS REAL))) OVER (PARTITION BY "feature_10") AS share_within_group +FROM "n9" +GROUP BY "feature_10", "feature_12" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e6716f952ea75515942849b01f071428961620a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/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_tpcds_within_group_share\nSELECT \"feature_10\", \"feature_12\",\n SUM(CAST(\"feature_11\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_11\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_11\" AS REAL))) OVER (PARTITION BY \"feature_10\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_10\", \"feature_12\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_10\\\", \\\"feature_12\\\",\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_11\\\" AS REAL))) OVER (PARTITION BY \\\"feature_10\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_10\\\", \\\"feature_12\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"feature_10\", \"feature_12\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_10\": \"1\", \"feature_12\": \"0\", \"total_measure\": 2205.0, \"share_within_group\": 60.928433268858804}, {\"feature_10\": \"5\", \"feature_12\": \"0\", \"total_measure\": 2091.0, \"share_within_group\": 55.87920897915553}, {\"feature_10\": \"97\", \"feature_12\": \"65\", \"total_measure\": 278.0, \"share_within_group\": 52.851711026615966}, {\"feature_10\": \"75\", \"feature_12\": \"50\", \"total_measure\": 8797.0, \"share_within_group\": 51.804958483010424}, {\"feature_10\": \"2\", \"feature_12\": \"0\", \"total_measure\": 1386.0, \"share_within_group\": 51.06853352984525}, {\"feature_10\": \"99\", \"feature_12\": \"66\", \"total_measure\": 374.0, \"share_within_group\": 50.26881720430107}, {\"feature_10\": \"7\", \"feature_12\": \"0\", \"total_measure\": 1477.0, \"share_within_group\": 48.569549490299245}, {\"feature_10\": \"4\", \"feature_12\": \"0\", \"total_measure\": 1754.0, \"share_within_group\": 46.19436397155649}, {\"feature_10\": \"13\", \"feature_12\": \"0\", \"total_measure\": 1465.0, \"share_within_group\": 44.47480267152398}, {\"feature_10\": \"96\", \"feature_12\": \"64\", \"total_measure\": 429.0, \"share_within_group\": 43.59756097560975}, {\"feature_10\": \"6\", \"feature_12\": \"0\", \"total_measure\": 2046.0, \"share_within_group\": 42.8391959798995}, {\"feature_10\": \"3\", \"feature_12\": \"0\", \"total_measure\": 967.0, \"share_within_group\": 41.93408499566349}, {\"feature_10\": \"8\", \"feature_12\": \"0\", \"total_measure\": 1395.0, \"share_within_group\": 35.95360824742268}, {\"feature_10\": \"93\", \"feature_12\": \"62\", \"total_measure\": 266.0, \"share_within_group\": 35.945945945945944}, {\"feature_10\": \"12\", \"feature_12\": \"0\", \"total_measure\": 1200.0, \"share_within_group\": 35.10825043885313}, {\"feature_10\": \"15\", \"feature_12\": \"0\", \"total_measure\": 1170.0, \"share_within_group\": 33.304867634500425}, {\"feature_10\": \"14\", \"feature_12\": \"0\", \"total_measure\": 1139.0, \"share_within_group\": 33.081614870752254}, {\"feature_10\": \"9\", \"feature_12\": \"0\", \"total_measure\": 1032.0, \"share_within_group\": 31.705069124423964}, {\"feature_10\": \"94\", \"feature_12\": \"63\", \"total_measure\": 308.0, \"share_within_group\": 31.68724279835391}, {\"feature_10\": \"95\", \"feature_12\": \"62\", \"total_measure\": 252.0, \"share_within_group\": 29.200463499420625}, {\"feature_10\": \"10\", \"feature_12\": \"0\", \"total_measure\": 1110.0, \"share_within_group\": 28.913779630112007}, {\"feature_10\": \"16\", \"feature_12\": \"0\", \"total_measure\": 1188.0, \"share_within_group\": 28.709521507974866}, {\"feature_10\": \"76\", \"feature_12\": \"51\", \"total_measure\": 1679.0, \"share_within_group\": 28.666552842752264}, {\"feature_10\": \"100\", \"feature_12\": \"67\", \"total_measure\": 1404.0, \"share_within_group\": 27.945859872611464}, {\"feature_10\": \"11\", \"feature_12\": \"0\", \"total_measure\": 1012.0, \"share_within_group\": 27.817482133040134}, {\"feature_10\": \"98\", \"feature_12\": \"64\", \"total_measure\": 181.0, \"share_within_group\": 27.177177177177178}, {\"feature_10\": \"88\", \"feature_12\": \"58\", \"total_measure\": 499.0, \"share_within_group\": 26.166754063974828}, {\"feature_10\": \"87\", \"feature_12\": \"58\", \"total_measure\": 390.0, \"share_within_group\": 25.8792302587923}, {\"feature_10\": \"74\", \"feature_12\": \"49\", \"total_measure\": 2192.0, \"share_within_group\": 25.730719568024416}, {\"feature_10\": \"19\", \"feature_12\": \"0\", \"total_measure\": 912.0, \"share_within_group\": 24.082387113810405}, {\"feature_10\": \"23\", \"feature_12\": \"0\", \"total_measure\": 1037.0, \"share_within_group\": 22.871636524040582}, {\"feature_10\": \"80\", \"feature_12\": \"53\", \"total_measure\": 1005.0, \"share_within_group\": 22.794284418235428}, {\"feature_10\": \"20\", \"feature_12\": \"0\", \"total_measure\": 1000.0, \"share_within_group\": 22.44165170556553}, {\"feature_10\": \"83\", \"feature_12\": \"55\", \"total_measure\": 674.0, \"share_within_group\": 22.43675099866844}, {\"feature_10\": \"91\", \"feature_12\": \"61\", \"total_measure\": 415.0, \"share_within_group\": 22.240085744908896}, {\"feature_10\": \"90\", \"feature_12\": \"59\", \"total_measure\": 459.0, \"share_within_group\": 22.109826589595375}, {\"feature_10\": \"98\", \"feature_12\": \"65\", \"total_measure\": 147.0, \"share_within_group\": 22.07207207207207}, {\"feature_10\": \"87\", \"feature_12\": \"59\", \"total_measure\": 329.0, \"share_within_group\": 21.831453218314532}, {\"feature_10\": \"93\", \"feature_12\": \"63\", \"total_measure\": 160.0, \"share_within_group\": 21.62162162162162}, {\"feature_10\": \"92\", \"feature_12\": \"61\", \"total_measure\": 232.0, \"share_within_group\": 20.17391304347826}, {\"feature_10\": \"88\", \"feature_12\": \"59\", \"total_measure\": 381.0, \"share_within_group\": 19.9790246460409}, {\"feature_10\": \"82\", \"feature_12\": \"54\", \"total_measure\": 564.0, \"share_within_group\": 19.775596072931275}, {\"feature_10\": \"85\", \"feature_12\": \"57\", \"total_measure\": 458.0, \"share_within_group\": 19.53091684434968}, {\"feature_10\": \"95\", \"feature_12\": \"63\", \"total_measure\": 166.0, \"share_within_group\": 19.235225955967554}, {\"feature_10\": \"95\", \"feature_12\": \"65\", \"total_measure\": 166.0, \"share_within_group\": 19.235225955967554}, {\"feature_10\": \"60\", \"feature_12\": \"40\", \"total_measure\": 1324.0, \"share_within_group\": 18.98752330417324}, {\"feature_10\": \"76\", \"feature_12\": \"50\", \"total_measure\": 1106.0, \"share_within_group\": 18.883387399692676}, {\"feature_10\": \"21\", \"feature_12\": \"0\", \"total_measure\": 688.0, \"share_within_group\": 18.72108843537415}, {\"feature_10\": \"91\", \"feature_12\": \"57\", \"total_measure\": 342.0, \"share_within_group\": 18.327974276527332}, {\"feature_10\": \"81\", \"feature_12\": \"54\", \"total_measure\": 711.0, \"share_within_group\": 18.0640243902439}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 16.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a0d82bc31259a44128516df48faf0ef31b1894fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:35:39.449702+00:00", + "ended_at": "2026-05-19T15:35:58.403778+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_924ff65dde50a4a3", + "problem_id": "v2p_n9_7a1120b5cd091363", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_10, measure_col=feature_11.", + "bindings": { + "group_col": "feature_10", + "measure_col": "feature_11", + "item_col": "feature_12", + "top_k": 16, + "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": 89.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_924ff65dde50a4a3.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_924ff65dde50a4a3", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 538, + "total_tokens": 15597, + "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": 18933.35, + "sql_execution_elapsed_ms_total": 16.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fbdfa8dcac554da864f3ac82b82400b19efc619f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:58.385174+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18933.35, "started_at": "2026-05-19T15:35:39.450892+00:00", "ended_at": "2026-05-19T15:35:58.384274+00:00", "prompt_metrics": {"chars": 9802, "bytes_utf8": 9802, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 538, "reasoning_output_tokens": 358}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_10\\\", \\\"feature_12\\\",\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_11\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_11\\\" AS REAL))) OVER (PARTITION BY \\\"feature_10\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_10\\\", \\\"feature_12\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_10\\\", item_col=\\\"feature_12\\\", and measure_col=\\\"feature_11\\\". Cast the measure from TEXT to REAL so SUM and percentage calculations behave numerically in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d68c15408ef1b737a215c830e505a841ab8ec58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_924ff65dde50a4a3", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 538, + "total_tokens": 15597, + "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": 18933.35, + "sql_execution_elapsed_ms_total": 16.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_924ff65dde50a4a3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3908eb38d0cd18441fedc935cd39591c98fa4d8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_12, condition_col=class. +Result preview: [{"feature_12": "3", "condition_rate": 0.4566929133858268}, {"feature_12": "2", "condition_rate": 0.4049586776859504}, {"feature_12": "4", "condition_rate": 0.38095238095238093}, {"feature_12": "1", "condition_rate": 0.35570469798657717}, {"feature_12": "7", "condition_rate": 0.34375}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ce73abdae1cb330e2c8b3ffdeba220db7e1d0238 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_95ac53b6c9bdb05f +-- problem_id: v2p_n9_b35bc3a5d799f2c6 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_12", + AVG(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "n9" +GROUP BY "feature_12" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..abcfbd249500a4b48d99e0093349ea7b94ae62f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/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_group_condition_rate\nSELECT \"feature_12\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_12\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_12\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"feature_12\", \"condition_rate\"], \"rows\": [{\"feature_12\": \"3\", \"condition_rate\": 0.4566929133858268}, {\"feature_12\": \"2\", \"condition_rate\": 0.4049586776859504}, {\"feature_12\": \"4\", \"condition_rate\": 0.38095238095238093}, {\"feature_12\": \"1\", \"condition_rate\": 0.35570469798657717}, {\"feature_12\": \"7\", \"condition_rate\": 0.34375}, {\"feature_12\": \"5\", \"condition_rate\": 0.3412698412698413}, {\"feature_12\": \"6\", \"condition_rate\": 0.3384615384615385}, {\"feature_12\": \"9\", \"condition_rate\": 0.2857142857142857}, {\"feature_12\": \"8\", \"condition_rate\": 0.2857142857142857}, {\"feature_12\": \"10\", \"condition_rate\": 0.2679738562091503}, {\"feature_12\": \"11\", \"condition_rate\": 0.2413793103448276}, {\"feature_12\": \"12\", \"condition_rate\": 0.22981366459627328}, {\"feature_12\": \"13\", \"condition_rate\": 0.22448979591836735}, {\"feature_12\": \"0\", \"condition_rate\": 0.19559902200489}, {\"feature_12\": \"15\", \"condition_rate\": 0.18681318681318682}, {\"feature_12\": \"18\", \"condition_rate\": 0.18562874251497005}, {\"feature_12\": \"17\", \"condition_rate\": 0.17391304347826086}, {\"feature_12\": \"20\", \"condition_rate\": 0.17307692307692307}, {\"feature_12\": \"16\", \"condition_rate\": 0.16753926701570682}, {\"feature_12\": \"14\", \"condition_rate\": 0.15584415584415584}, {\"feature_12\": \"19\", \"condition_rate\": 0.15483870967741936}, {\"feature_12\": \"21\", \"condition_rate\": 0.1292517006802721}, {\"feature_12\": \"22\", \"condition_rate\": 0.11594202898550725}, {\"feature_12\": \"23\", \"condition_rate\": 0.10948905109489052}, {\"feature_12\": \"26\", \"condition_rate\": 0.09917355371900827}, {\"feature_12\": \"24\", \"condition_rate\": 0.09420289855072464}, {\"feature_12\": \"30\", \"condition_rate\": 0.06666666666666667}, {\"feature_12\": \"28\", \"condition_rate\": 0.05982905982905983}, {\"feature_12\": \"27\", \"condition_rate\": 0.05982905982905983}, {\"feature_12\": \"32\", \"condition_rate\": 0.058823529411764705}, {\"feature_12\": \"25\", \"condition_rate\": 0.05}, {\"feature_12\": \"29\", \"condition_rate\": 0.046153846153846156}, {\"feature_12\": \"31\", \"condition_rate\": 0.03076923076923077}, {\"feature_12\": \"33\", \"condition_rate\": 0.01818181818181818}, {\"feature_12\": \"38\", \"condition_rate\": 0.012987012987012988}, {\"feature_12\": \"34\", \"condition_rate\": 0.011627906976744186}, {\"feature_12\": \"35\", \"condition_rate\": 0.010638297872340425}, {\"feature_12\": \"39\", \"condition_rate\": 0.010416666666666666}, {\"feature_12\": \"99\", \"condition_rate\": 0.0}, {\"feature_12\": \"98\", \"condition_rate\": 0.0}, {\"feature_12\": \"97\", \"condition_rate\": 0.0}, {\"feature_12\": \"96\", \"condition_rate\": 0.0}, {\"feature_12\": \"95\", \"condition_rate\": 0.0}, {\"feature_12\": \"94\", \"condition_rate\": 0.0}, {\"feature_12\": \"93\", \"condition_rate\": 0.0}, {\"feature_12\": \"92\", \"condition_rate\": 0.0}, {\"feature_12\": \"91\", \"condition_rate\": 0.0}, {\"feature_12\": \"90\", \"condition_rate\": 0.0}, {\"feature_12\": \"89\", \"condition_rate\": 0.0}, {\"feature_12\": \"88\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..638f23b59f4c1745f8e672cfa62a672d97e2d1e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:00:58.412957+00:00", + "ended_at": "2026-05-19T16:01:08.862587+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_95ac53b6c9bdb05f", + "problem_id": "v2p_n9_b35bc3a5d799f2c6", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_12, condition_col=class.", + "bindings": { + "group_col": "feature_12", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 11, + "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": 65.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_95ac53b6c9bdb05f.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_95ac53b6c9bdb05f", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 357, + "total_tokens": 15355, + "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": 10438.74, + "sql_execution_elapsed_ms_total": 7.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29edc20c107f8812ceda6867b0d3686fdf754ebe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:08.853740+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10438.74, "started_at": "2026-05-19T16:00:58.414059+00:00", "ended_at": "2026-05-19T16:01:08.852829+00:00", "prompt_metrics": {"chars": 9633, "bytes_utf8": 9633, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 393, "bytes_utf8": 393, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14998, "cached_input_tokens": 12032, "output_tokens": 357, "reasoning_output_tokens": 245}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_12\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped condition rate query using \\\"feature_12\\\" as the grouping column and the within-group proportion of rows where \\\"class\\\" = '2' as condition_rate.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5315bf949884c59304a3db116f46ed92c06b031c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_95ac53b6c9bdb05f", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 357, + "total_tokens": 15355, + "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": 10438.74, + "sql_execution_elapsed_ms_total": 7.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_95ac53b6c9bdb05f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ba089511545e632b4e48ff46d0d3ca9c7c3b242 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/final_answer.txt @@ -0,0 +1 @@ +No rows were returned for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_12, measure_col=feature_16. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d1a143ce142a36e6e61e3adb21969b5c08d6d982 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_981d43287b097165 +-- problem_id: v2p_n9_bb08c2a9f8d6753c +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "feature_12", + SUM(CAST("feature_16" AS REAL)) AS "group_value" + FROM "n9" + GROUP BY "feature_12" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."feature_12", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8db4d9ee2dc615a71f03996380dd68d4ffe4ec5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/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_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_12\",\n SUM(CAST(\"feature_16\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_12\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_12\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_12\\\",\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_12\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_12\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"feature_12\", \"group_value\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..79470f03f8475fc85fb724feef51c1387e61eb92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:49:20.819950+00:00", + "ended_at": "2026-05-19T15:49:37.816596+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_981d43287b097165", + "problem_id": "v2p_n9_bb08c2a9f8d6753c", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_12, measure_col=feature_16.", + "bindings": { + "group_col": "feature_12", + "measure_col": "feature_16", + "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": 51.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_981d43287b097165.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_981d43287b097165", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 725, + "total_tokens": 15803, + "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": 16975.56, + "sql_execution_elapsed_ms_total": 14.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f932e333886d4b87851a6935b74931cdcf47de82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:37.799440+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16975.56, "started_at": "2026-05-19T15:49:20.822164+00:00", "ended_at": "2026-05-19T15:49:37.797764+00:00", "prompt_metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 702, "bytes_utf8": 702, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 725, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_12\\\",\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_12\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_12\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"feature_12\\\" and measure_col=\\\"feature_16\\\". CAST to REAL is used because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f00c3077ba72fa260d5d88450799356fa470a8d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_981d43287b097165", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 725, + "total_tokens": 15803, + "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": 16975.56, + "sql_execution_elapsed_ms_total": 14.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_981d43287b097165/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdceda34b75ebf0b66362c91599ab37cafea2e81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 1556, "support_share": 0.1415574963609898, "cumulative_support": 1556}, {"value_label": "100", "support": 728, "support_share": 0.06622998544395925, "cumulative_support": 2284}, {"value_label": "35", "support": 183, "support_share": 0.016648471615720525, "cumulative_support": 2467}, {"value_label": "34", "support": 177, "support_share": 0.016102620087336244, "cumulative_support": 2644}, {"value_label": "40", "support": 176, "support_share": 0.01601164483260553, "cumulative_support": 2820}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ae8acf3e0b8ee63a8cf5860e786bacce8c17b702 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n9_9c8e90dc3daf9774 +-- problem_id: v2p_n9_5838c767b8fef0aa +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_8" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_8" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..13537a6ac23f291209764d2052203cbc51ffa19c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n9_9c8e90dc3daf9774\n-- problem_id: v2p_n9_5838c767b8fef0aa\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_8\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_8\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n9_9c8e90dc3daf9774\\n-- problem_id: v2p_n9_5838c767b8fef0aa\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_8\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 1556, \"support_share\": 0.1415574963609898, \"cumulative_support\": 1556}, {\"value_label\": \"100\", \"support\": 728, \"support_share\": 0.06622998544395925, \"cumulative_support\": 2284}, {\"value_label\": \"35\", \"support\": 183, \"support_share\": 0.016648471615720525, \"cumulative_support\": 2467}, {\"value_label\": \"34\", \"support\": 177, \"support_share\": 0.016102620087336244, \"cumulative_support\": 2644}, {\"value_label\": \"40\", \"support\": 176, \"support_share\": 0.01601164483260553, \"cumulative_support\": 2820}, {\"value_label\": \"39\", \"support\": 175, \"support_share\": 0.01592066957787482, \"cumulative_support\": 2995}, {\"value_label\": \"43\", \"support\": 173, \"support_share\": 0.01573871906841339, \"cumulative_support\": 3168}, {\"value_label\": \"36\", \"support\": 169, \"support_share\": 0.015374818049490539, \"cumulative_support\": 3337}, {\"value_label\": \"38\", \"support\": 167, \"support_share\": 0.015192867540029112, \"cumulative_support\": 3504}, {\"value_label\": \"33\", \"support\": 159, \"support_share\": 0.014465065502183407, \"cumulative_support\": 3663}, {\"value_label\": \"37\", \"support\": 152, \"support_share\": 0.013828238719068414, \"cumulative_support\": 3815}, {\"value_label\": \"31\", \"support\": 147, \"support_share\": 0.013373362445414847, \"cumulative_support\": 3962}, {\"value_label\": \"52\", \"support\": 146, \"support_share\": 0.013282387190684133, \"cumulative_support\": 4108}, {\"value_label\": \"58\", \"support\": 145, \"support_share\": 0.01319141193595342, \"cumulative_support\": 4253}, {\"value_label\": \"60\", \"support\": 145, \"support_share\": 0.01319141193595342, \"cumulative_support\": 4398}, {\"value_label\": \"55\", \"support\": 144, \"support_share\": 0.013100436681222707, \"cumulative_support\": 4542}, {\"value_label\": \"42\", \"support\": 142, \"support_share\": 0.01291848617176128, \"cumulative_support\": 4684}, {\"value_label\": \"50\", \"support\": 142, \"support_share\": 0.01291848617176128, \"cumulative_support\": 4826}, {\"value_label\": \"53\", \"support\": 142, \"support_share\": 0.01291848617176128, \"cumulative_support\": 4968}, {\"value_label\": \"32\", \"support\": 140, \"support_share\": 0.012736535662299854, \"cumulative_support\": 5108}, {\"value_label\": \"41\", \"support\": 138, \"support_share\": 0.012554585152838428, \"cumulative_support\": 5246}, {\"value_label\": \"62\", \"support\": 136, \"support_share\": 0.012372634643377001, \"cumulative_support\": 5382}, {\"value_label\": \"61\", \"support\": 132, \"support_share\": 0.012008733624454149, \"cumulative_support\": 5514}, {\"value_label\": \"57\", \"support\": 131, \"support_share\": 0.011917758369723435, \"cumulative_support\": 5645}, {\"value_label\": \"51\", \"support\": 129, \"support_share\": 0.011735807860262008, \"cumulative_support\": 5774}, {\"value_label\": \"48\", \"support\": 128, \"support_share\": 0.011644832605531296, \"cumulative_support\": 5902}, {\"value_label\": \"63\", \"support\": 127, \"support_share\": 0.011553857350800582, \"cumulative_support\": 6029}, {\"value_label\": \"28\", \"support\": 122, \"support_share\": 0.011098981077147015, \"cumulative_support\": 6151}, {\"value_label\": \"44\", \"support\": 122, \"support_share\": 0.011098981077147015, \"cumulative_support\": 6273}, {\"value_label\": \"66\", \"support\": 122, \"support_share\": 0.011098981077147015, \"cumulative_support\": 6395}, {\"value_label\": \"47\", \"support\": 121, \"support_share\": 0.011008005822416303, \"cumulative_support\": 6516}, {\"value_label\": \"64\", \"support\": 121, \"support_share\": 0.011008005822416303, \"cumulative_support\": 6637}, {\"value_label\": \"45\", \"support\": 119, \"support_share\": 0.010826055312954877, \"cumulative_support\": 6756}, {\"value_label\": \"59\", \"support\": 117, \"support_share\": 0.01064410480349345, \"cumulative_support\": 6873}, {\"value_label\": \"27\", \"support\": 116, \"support_share\": 0.010553129548762736, \"cumulative_support\": 6989}, {\"value_label\": \"46\", \"support\": 115, \"support_share\": 0.010462154294032024, \"cumulative_support\": 7104}, {\"value_label\": \"29\", \"support\": 114, \"support_share\": 0.01037117903930131, \"cumulative_support\": 7218}, {\"value_label\": \"56\", \"support\": 114, \"support_share\": 0.01037117903930131, \"cumulative_support\": 7332}, {\"value_label\": \"30\", \"support\": 111, \"support_share\": 0.01009825327510917, \"cumulative_support\": 7443}, {\"value_label\": \"54\", \"support\": 111, \"support_share\": 0.01009825327510917, \"cumulative_support\": 7554}, {\"value_label\": \"25\", \"support\": 105, \"support_share\": 0.00955240174672489, \"cumulative_support\": 7659}, {\"value_label\": \"65\", \"support\": 99, \"support_share\": 0.009006550218340612, \"cumulative_support\": 7758}, {\"value_label\": \"26\", \"support\": 95, \"support_share\": 0.008642649199417759, \"cumulative_support\": 7853}, {\"value_label\": \"67\", \"support\": 94, \"support_share\": 0.008551673944687045, \"cumulative_support\": 7947}, {\"value_label\": \"24\", \"support\": 91, \"support_share\": 0.008278748180494906, \"cumulative_support\": 8038}, {\"value_label\": \"22\", \"support\": 86, \"support_share\": 0.00782387190684134, \"cumulative_support\": 8124}, {\"value_label\": \"49\", \"support\": 85, \"support_share\": 0.007732896652110626, \"cumulative_support\": 8209}, {\"value_label\": \"23\", \"support\": 83, \"support_share\": 0.007550946142649199, \"cumulative_support\": 8292}, {\"value_label\": \"68\", \"support\": 83, \"support_share\": 0.007550946142649199, \"cumulative_support\": 8375}, {\"value_label\": \"20\", \"support\": 82, \"support_share\": 0.007459970887918486, \"cumulative_support\": 8457}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5ab562e6d0fe8f0b6da00f6377f8e76423a551e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.742149+00:00", + "ended_at": "2026-05-19T16:10:15.747480+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_9c8e90dc3daf9774", + "problem_id": "v2p_n9_5838c767b8fef0aa", + "dataset_id": "n9", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=feature_8.", + "bindings": { + "group_col": "feature_8" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_9c8e90dc3daf9774.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9c8e90dc3daf9774/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..77ffd5fa72102fbe6904c747a10c7a572b6a694f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_7. +Result preview: [{"feature_7": "97", "support": 36}, {"feature_7": "1", "support": 38}, {"feature_7": "98", "support": 40}, {"feature_7": "96", "support": 43}, {"feature_7": "21", "support": 48}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..60e00a4e951d11eb5c7a85bae997b3e7c2f885a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n9_9cb4a0a0192b45c0 +-- problem_id: v2p_n9_be44fd477ab114ef +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_7", + COUNT(*) AS "support" +FROM "n9" +GROUP BY "feature_7" +ORDER BY "support" ASC, "feature_7" +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..72bcd2014629c634f8624ccda28ac0631328f7a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_7\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_7\"\nORDER BY \"support\" ASC, \"feature_7\"\nLIMIT 15;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_7\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_7\\\"\\nLIMIT 15;\", \"columns\": [\"feature_7\", \"support\"], \"rows\": [{\"feature_7\": \"97\", \"support\": 36}, {\"feature_7\": \"1\", \"support\": 38}, {\"feature_7\": \"98\", \"support\": 40}, {\"feature_7\": \"96\", \"support\": 43}, {\"feature_7\": \"21\", \"support\": 48}, {\"feature_7\": \"3\", \"support\": 50}, {\"feature_7\": \"16\", \"support\": 51}, {\"feature_7\": \"99\", \"support\": 51}, {\"feature_7\": \"5\", \"support\": 53}, {\"feature_7\": \"9\", \"support\": 53}, {\"feature_7\": \"92\", \"support\": 54}, {\"feature_7\": \"90\", \"support\": 56}, {\"feature_7\": \"94\", \"support\": 56}, {\"feature_7\": \"8\", \"support\": 57}, {\"feature_7\": \"95\", \"support\": 57}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..db2c91713f74c1c43082a054dd9681dea6e97307 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:07:04.499032+00:00", + "ended_at": "2026-05-19T16:07:18.795982+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_9cb4a0a0192b45c0", + "problem_id": "v2p_n9_be44fd477ab114ef", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=feature_7.", + "bindings": { + "group_col": "feature_7", + "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": 47.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_9cb4a0a0192b45c0.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9cb4a0a0192b45c0", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 426, + "total_tokens": 15374, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13282.32, + "sql_execution_elapsed_ms_total": 6.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..830e34daa24f9c6d9282aabfd039236dffd72f38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:07.628939+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3126.51, "started_at": "2026-05-19T16:07:04.501311+00:00", "ended_at": "2026-05-19T16:07:07.627858+00:00", "prompt_metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-a32f-7141-8292-e5084f0529f2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:18.787830+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10155.81, "started_at": "2026-05-19T16:07:08.630937+00:00", "ended_at": "2026-05-19T16:07:18.786799+00:00", "prompt_metrics": {"chars": 9378, "bytes_utf8": 9378, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 326, "bytes_utf8": 326, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14948, "cached_input_tokens": 13696, "output_tokens": 426, "reasoning_output_tokens": 325}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_7\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_7\\\"\\nLIMIT 15;\",\"notes\":\"Uses the fixed Low-Support Group Count template with group_col bound to \\\"feature_7\\\" and top_k bound to 15.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d0bb1c338fd3922e8f5586f1bf21310aad07eb72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9cb4a0a0192b45c0", + "api_calls": 0, + "input_tokens": 14948, + "cached_input_tokens": 13696, + "output_tokens": 426, + "total_tokens": 15374, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13282.32, + "sql_execution_elapsed_ms_total": 6.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9cb4a0a0192b45c0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecd294ee6548eda8a911005554cb0d8d5f08e452 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9620, "bytes_utf8": 9620, "lines": 303, "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": 401, "bytes_utf8": 401, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 253, "reasoning_output_tokens": 143}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8f436d31267cc8f83e9756e01563fc341c0cdcf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9ec07526fd321cfd", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 253, + "total_tokens": 15250, + "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": 10696.24, + "sql_execution_elapsed_ms_total": 10.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7bf477133a2fb998c169d8258b175b5566956221 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/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": "2026-05-19T16:02:02.433349+00:00", + "ended_at": "2026-05-19T16:02:13.129631+00:00", + "elapsed_ms": 10696.24, + "prompt_metrics": { + "chars": 9620, + "bytes_utf8": 9620, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 756, + "bytes_utf8": 756, + "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": 401, + "bytes_utf8": 401, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 253, + "reasoning_output_tokens": 143 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7af97ae39db99828fb9c664cf2f6e1284e441e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,303 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n9", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_15, condition_col=class.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "feature_15", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..402b52342805227edfb098b8c1ab1a94f0c1c972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-075d-7af3-976c-f9e46fd65ee6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_15\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col bound to \\\"feature_15\\\" and condition_col bound to \\\"class\\\", using condition_value '2' as specified.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14997,"cached_input_tokens":12032,"output_tokens":253,"reasoning_output_tokens":143}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ae456c8ceb69a002c8f857eee01121781977ea3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"feature_15\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_15\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template with group_col bound to \"feature_15\" and condition_col bound to \"class\", using condition_value '2' as specified."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..14d0290522e6437d0f5f873c70e4fedd0d89e73e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_15, condition_col=class. +Result preview: [{"feature_15": "100", "condition_rate": 0.3507362784471218}, {"feature_15": "99", "condition_rate": 0.22727272727272727}, {"feature_15": "97", "condition_rate": 0.16666666666666666}, {"feature_15": "93", "condition_rate": 0.15384615384615385}, {"feature_15": "88", "condition_rate": 0.15151515151515152}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a75c89972cc84aa73cc1a48ba74560f73ae0b2e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_9ec07526fd321cfd +-- problem_id: v2p_n9_f73f9789bbf1c976 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_15", + AVG(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS condition_rate +FROM "n9" +GROUP BY "feature_15" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4760dec9c538f7be1c946580f30b4e5be0a74fbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/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_group_condition_rate\nSELECT \"feature_15\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_15\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_15\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"feature_15\", \"condition_rate\"], \"rows\": [{\"feature_15\": \"100\", \"condition_rate\": 0.3507362784471218}, {\"feature_15\": \"99\", \"condition_rate\": 0.22727272727272727}, {\"feature_15\": \"97\", \"condition_rate\": 0.16666666666666666}, {\"feature_15\": \"93\", \"condition_rate\": 0.15384615384615385}, {\"feature_15\": \"88\", \"condition_rate\": 0.15151515151515152}, {\"feature_15\": \"98\", \"condition_rate\": 0.1282051282051282}, {\"feature_15\": \"89\", \"condition_rate\": 0.1276595744680851}, {\"feature_15\": \"95\", \"condition_rate\": 0.125}, {\"feature_15\": \"82\", \"condition_rate\": 0.11904761904761904}, {\"feature_15\": \"94\", \"condition_rate\": 0.09302325581395349}, {\"feature_15\": \"83\", \"condition_rate\": 0.07692307692307693}, {\"feature_15\": \"84\", \"condition_rate\": 0.07547169811320754}, {\"feature_15\": \"64\", \"condition_rate\": 0.075}, {\"feature_15\": \"91\", \"condition_rate\": 0.06818181818181818}, {\"feature_15\": \"74\", \"condition_rate\": 0.058823529411764705}, {\"feature_15\": \"72\", \"condition_rate\": 0.05405405405405406}, {\"feature_15\": \"90\", \"condition_rate\": 0.05128205128205128}, {\"feature_15\": \"92\", \"condition_rate\": 0.047619047619047616}, {\"feature_15\": \"85\", \"condition_rate\": 0.047619047619047616}, {\"feature_15\": \"79\", \"condition_rate\": 0.045454545454545456}, {\"feature_15\": \"86\", \"condition_rate\": 0.044444444444444446}, {\"feature_15\": \"77\", \"condition_rate\": 0.043478260869565216}, {\"feature_15\": \"78\", \"condition_rate\": 0.04081632653061224}, {\"feature_15\": \"47\", \"condition_rate\": 0.03773584905660377}, {\"feature_15\": \"63\", \"condition_rate\": 0.03125}, {\"feature_15\": \"81\", \"condition_rate\": 0.027777777777777776}, {\"feature_15\": \"76\", \"condition_rate\": 0.02631578947368421}, {\"feature_15\": \"67\", \"condition_rate\": 0.02564102564102564}, {\"feature_15\": \"55\", \"condition_rate\": 0.02564102564102564}, {\"feature_15\": \"87\", \"condition_rate\": 0.023809523809523808}, {\"feature_15\": \"65\", \"condition_rate\": 0.022727272727272728}, {\"feature_15\": \"62\", \"condition_rate\": 0.022727272727272728}, {\"feature_15\": \"49\", \"condition_rate\": 0.022727272727272728}, {\"feature_15\": \"69\", \"condition_rate\": 0.02040816326530612}, {\"feature_15\": \"39\", \"condition_rate\": 0.016666666666666666}, {\"feature_15\": \"96\", \"condition_rate\": 0.0}, {\"feature_15\": \"9\", \"condition_rate\": 0.0}, {\"feature_15\": \"80\", \"condition_rate\": 0.0}, {\"feature_15\": \"8\", \"condition_rate\": 0.0}, {\"feature_15\": \"75\", \"condition_rate\": 0.0}, {\"feature_15\": \"73\", \"condition_rate\": 0.0}, {\"feature_15\": \"71\", \"condition_rate\": 0.0}, {\"feature_15\": \"70\", \"condition_rate\": 0.0}, {\"feature_15\": \"7\", \"condition_rate\": 0.0}, {\"feature_15\": \"68\", \"condition_rate\": 0.0}, {\"feature_15\": \"66\", \"condition_rate\": 0.0}, {\"feature_15\": \"61\", \"condition_rate\": 0.0}, {\"feature_15\": \"60\", \"condition_rate\": 0.0}, {\"feature_15\": \"6\", \"condition_rate\": 0.0}, {\"feature_15\": \"59\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 10.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d76faac3582a7b16b41fec917b456df9dce9c29b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:02:02.431178+00:00", + "ended_at": "2026-05-19T16:02:13.143492+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_9ec07526fd321cfd", + "problem_id": "v2p_n9_f73f9789bbf1c976", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_15, condition_col=class.", + "bindings": { + "group_col": "feature_15", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "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": 100.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_9ec07526fd321cfd.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9ec07526fd321cfd", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 253, + "total_tokens": 15250, + "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": 10696.24, + "sql_execution_elapsed_ms_total": 10.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b9360e7fb28f8709a14a38de9843ecc6e7116c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:13.131211+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10696.24, "started_at": "2026-05-19T16:02:02.433349+00:00", "ended_at": "2026-05-19T16:02:13.129631+00:00", "prompt_metrics": {"chars": 9620, "bytes_utf8": 9620, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 401, "bytes_utf8": 401, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 253, "reasoning_output_tokens": 143}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_15\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col bound to \\\"feature_15\\\" and condition_col bound to \\\"class\\\", using condition_value '2' as specified.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ff7fa4bab41bce7663a1da0456e5b2efec001590 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9ec07526fd321cfd", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 253, + "total_tokens": 15250, + "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": 10696.24, + "sql_execution_elapsed_ms_total": 10.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9ec07526fd321cfd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..183f7096f53a91b4382491e7d69c9ab7a78eea76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_8. +Result preview: [{"feature_8": "7", "support": 30}, {"feature_8": "2", "support": 31}, {"feature_8": "97", "support": 33}, {"feature_8": "91", "support": 34}, {"feature_8": "6", "support": 36}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..81685b52de5873700bad66b8867013679a97b28d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n9_9f9eb99ee7644eed +-- problem_id: v2p_n9_511ca8d605f10420 +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_8", + COUNT(*) AS "support" +FROM "n9" +GROUP BY "feature_8" +ORDER BY "support" ASC, "feature_8" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ee388f908c7898aa56e4f92c03d708dc9a812a0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/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_tail_low_support_group_count_v2\nSELECT\n \"feature_8\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_8\"\nORDER BY \"support\" ASC, \"feature_8\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_8\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_8\\\"\\nLIMIT 16;\", \"columns\": [\"feature_8\", \"support\"], \"rows\": [{\"feature_8\": \"7\", \"support\": 30}, {\"feature_8\": \"2\", \"support\": 31}, {\"feature_8\": \"97\", \"support\": 33}, {\"feature_8\": \"91\", \"support\": 34}, {\"feature_8\": \"6\", \"support\": 36}, {\"feature_8\": \"89\", \"support\": 36}, {\"feature_8\": \"95\", \"support\": 36}, {\"feature_8\": \"3\", \"support\": 39}, {\"feature_8\": \"4\", \"support\": 39}, {\"feature_8\": \"8\", \"support\": 39}, {\"feature_8\": \"99\", \"support\": 39}, {\"feature_8\": \"1\", \"support\": 40}, {\"feature_8\": \"96\", \"support\": 41}, {\"feature_8\": \"5\", \"support\": 42}, {\"feature_8\": \"83\", \"support\": 42}, {\"feature_8\": \"11\", \"support\": 43}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1e6219dd1beaab75c76de330eb552eae9936a920 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:07:26.159564+00:00", + "ended_at": "2026-05-19T16:07:34.099074+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_9f9eb99ee7644eed", + "problem_id": "v2p_n9_511ca8d605f10420", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "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 Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=feature_8.", + "bindings": { + "group_col": "feature_8", + "top_k": 16, + "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": 100.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_9f9eb99ee7644eed.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9f9eb99ee7644eed", + "api_calls": 0, + "input_tokens": 14947, + "cached_input_tokens": 12032, + "output_tokens": 288, + "total_tokens": 15235, + "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": 7931.0, + "sql_execution_elapsed_ms_total": 4.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fcdf1b666b7220131ed3b94bb5cce7e1a61079cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:07:34.092837+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7931.0, "started_at": "2026-05-19T16:07:26.161037+00:00", "ended_at": "2026-05-19T16:07:34.092067+00:00", "prompt_metrics": {"chars": 9379, "bytes_utf8": 9379, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 318, "bytes_utf8": 318, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14947, "cached_input_tokens": 12032, "output_tokens": 288, "reasoning_output_tokens": 188}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_8\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_8\\\"\\nLIMIT 16;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"feature_8\\\" and top_k set to 16.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3a2857b3084c6087ee53036a75292c4043c3b42b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_9f9eb99ee7644eed", + "api_calls": 0, + "input_tokens": 14947, + "cached_input_tokens": 12032, + "output_tokens": 288, + "total_tokens": 15235, + "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": 7931.0, + "sql_execution_elapsed_ms_total": 4.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_9f9eb99ee7644eed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8885579847e52c8ef6c1155cd61ada21380164f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_8, condition_col=class. +Result preview: [{"feature_8": "64", "condition_ratio": 14.0}, {"feature_8": "72", "condition_ratio": 8.0}, {"feature_8": "65", "condition_ratio": 7.5}, {"feature_8": "66", "condition_ratio": 6.666666666666667}, {"feature_8": "70", "condition_ratio": 5.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c73336e2f787e410b22570231fb7f1b0aaa59a53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n9_a0c39fbd259bf92e +-- problem_id: v2p_n9_2196724412659ac6 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_8", + SUM(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count + FROM "n9" + GROUP BY "feature_8" +) +SELECT "feature_8", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3bad265ceb1e3607214090463ebfbf41a20e7cd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/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_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_8\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_8\"\n)\nSELECT \"feature_8\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_8\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\"\\n)\\nSELECT \\\"feature_8\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"feature_8\", \"condition_ratio\"], \"rows\": [{\"feature_8\": \"64\", \"condition_ratio\": 14.0}, {\"feature_8\": \"72\", \"condition_ratio\": 8.0}, {\"feature_8\": \"65\", \"condition_ratio\": 7.5}, {\"feature_8\": \"66\", \"condition_ratio\": 6.666666666666667}, {\"feature_8\": \"70\", \"condition_ratio\": 5.0}, {\"feature_8\": \"63\", \"condition_ratio\": 3.8333333333333335}, {\"feature_8\": \"78\", \"condition_ratio\": 3.0}, {\"feature_8\": \"62\", \"condition_ratio\": 2.4285714285714284}, {\"feature_8\": \"59\", \"condition_ratio\": 2.142857142857143}, {\"feature_8\": \"75\", \"condition_ratio\": 2.0}, {\"feature_8\": \"77\", \"condition_ratio\": 2.0}, {\"feature_8\": \"61\", \"condition_ratio\": 1.875}, {\"feature_8\": \"58\", \"condition_ratio\": 1.7857142857142858}, {\"feature_8\": \"57\", \"condition_ratio\": 1.7272727272727273}, {\"feature_8\": \"60\", \"condition_ratio\": 1.7142857142857142}, {\"feature_8\": \"67\", \"condition_ratio\": 1.6}, {\"feature_8\": \"49\", \"condition_ratio\": 1.5625}, {\"feature_8\": \"53\", \"condition_ratio\": 1.4583333333333333}, {\"feature_8\": \"27\", \"condition_ratio\": 1.3076923076923077}, {\"feature_8\": \"52\", \"condition_ratio\": 1.3076923076923077}, {\"feature_8\": \"54\", \"condition_ratio\": 1.2727272727272727}, {\"feature_8\": \"18\", \"condition_ratio\": 1.25}, {\"feature_8\": \"55\", \"condition_ratio\": 1.25}, {\"feature_8\": \"50\", \"condition_ratio\": 1.206896551724138}, {\"feature_8\": \"48\", \"condition_ratio\": 1.1481481481481481}, {\"feature_8\": \"10\", \"condition_ratio\": 1.0}, {\"feature_8\": \"17\", \"condition_ratio\": 1.0}, {\"feature_8\": \"19\", \"condition_ratio\": 1.0}, {\"feature_8\": \"21\", \"condition_ratio\": 1.0}, {\"feature_8\": \"41\", \"condition_ratio\": 1.0}, {\"feature_8\": \"45\", \"condition_ratio\": 1.0}, {\"feature_8\": \"51\", \"condition_ratio\": 1.0}, {\"feature_8\": \"56\", \"condition_ratio\": 1.0}, {\"feature_8\": \"92\", \"condition_ratio\": 1.0}, {\"feature_8\": \"46\", \"condition_ratio\": 0.9393939393939394}, {\"feature_8\": \"31\", \"condition_ratio\": 0.8888888888888888}, {\"feature_8\": \"44\", \"condition_ratio\": 0.8235294117647058}, {\"feature_8\": \"43\", \"condition_ratio\": 0.8085106382978723}, {\"feature_8\": \"35\", \"condition_ratio\": 0.7804878048780488}, {\"feature_8\": \"39\", \"condition_ratio\": 0.76}, {\"feature_8\": \"42\", \"condition_ratio\": 0.75}, {\"feature_8\": \"34\", \"condition_ratio\": 0.7368421052631579}, {\"feature_8\": \"33\", \"condition_ratio\": 0.7333333333333333}, {\"feature_8\": \"36\", \"condition_ratio\": 0.7222222222222222}, {\"feature_8\": \"20\", \"condition_ratio\": 0.7142857142857143}, {\"feature_8\": \"23\", \"condition_ratio\": 0.6666666666666666}, {\"feature_8\": \"26\", \"condition_ratio\": 0.6666666666666666}, {\"feature_8\": \"30\", \"condition_ratio\": 0.6666666666666666}, {\"feature_8\": \"47\", \"condition_ratio\": 0.6578947368421053}, {\"feature_8\": \"38\", \"condition_ratio\": 0.6521739130434783}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 8.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d44870ba3898eaf96a147b30b8215d19d67f757c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:40:47.755643+00:00", + "ended_at": "2026-05-19T15:41:04.233228+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_a0c39fbd259bf92e", + "problem_id": "v2p_n9_2196724412659ac6", + "dataset_id": "n9", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_8, condition_col=class.", + "bindings": { + "group_col": "feature_8", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 11, + "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": 54.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=41" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_a0c39fbd259bf92e.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a0c39fbd259bf92e", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 550, + "total_tokens": 15695, + "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": 16463.3, + "sql_execution_elapsed_ms_total": 8.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5391fe9115ccd209cbe6567aa03c547fe650422c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:04.222894+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16463.3, "started_at": "2026-05-19T15:40:47.758556+00:00", "ended_at": "2026-05-19T15:41:04.221899+00:00", "prompt_metrics": {"chars": 10186, "bytes_utf8": 10186, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 13696, "output_tokens": 550, "reasoning_output_tokens": 365}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_8\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\"\\n)\\nSELECT \\\"feature_8\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped-ratio template with group_col=\\\"feature_8\\\" and condition_col=\\\"class\\\", computing the ratio of class '2' to class '4' within each feature_8 group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2e5cfeb441be36302bfe9c400df4c16d852702e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a0c39fbd259bf92e", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 550, + "total_tokens": 15695, + "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": 16463.3, + "sql_execution_elapsed_ms_total": 8.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0c39fbd259bf92e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b0d48bd7d77b40f209266e0d9a949776f89e8dfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9324, "bytes_utf8": 9324, "lines": 298, "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": 395, "bytes_utf8": 395, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 12032, "output_tokens": 266, "reasoning_output_tokens": 155}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..00bd71d3eda253f0d1fcfd84c7cb5e3ef4f3a2b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a0d0df6c31921147", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 266, + "total_tokens": 15193, + "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": 10415.19, + "sql_execution_elapsed_ms_total": 1.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7d89d1afdf2edd0ba48e2c535bc75481244dbdd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:21.024103+00:00", + "ended_at": "2026-05-19T16:04:31.439316+00:00", + "elapsed_ms": 10415.19, + "prompt_metrics": { + "chars": 9324, + "bytes_utf8": 9324, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 739, + "bytes_utf8": 739, + "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": 395, + "bytes_utf8": 395, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 266, + "reasoning_output_tokens": 155 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a30c5a7723dc48741b95aca7601e658761877c2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_1.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "feature_1", + "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": 65.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f24e3c2631ca4505a9b577dee274ad52593f057b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-24b3-7400-8b74-6ed0dbdfa624"} +{"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(\\\"feature_1\\\" AS REAL) <= 65.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Used the provided Threshold Rarity CDF template with measure_col bound to \\\"feature_1\\\" and measure_threshold fixed at 65.0. CAST to REAL is included because the schema stores numeric-looking features as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14927,"cached_input_tokens":12032,"output_tokens":266,"reasoning_output_tokens":155}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b738dcd610c676ff243054e85914ecf4bed36481 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_1\" AS REAL) <= 65.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";","notes":"Used the provided Threshold Rarity CDF template with measure_col bound to \"feature_1\" and measure_threshold fixed at 65.0. CAST to REAL is included because the schema stores numeric-looking features as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a0d0df6c31921147/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..084b90449ffb435b080053d6f37db2bb4e124788 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:01.738386+00:00", + "ended_at": "2026-05-19T16:10:08.632345+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_a10c50b0a387fb8c", + "problem_id": "v2p_n9_42a82f930b48df0b", + "dataset_id": "n9", + "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=feature_5, measure_col=feature_13.", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_13", + "top_k": 10, + "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": 68.0, + "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=9", + "sql_variant_index=1/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7be518abba21b16087093784e9d374713c2d4152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a10c50b0a387fb8c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:04.714240+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2973.48, "started_at": "2026-05-19T16:10:01.739780+00:00", "ended_at": "2026-05-19T16:10:04.713285+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-577d-76f0-ae7d-143384b44002\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:08.632258+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2915.41, "started_at": "2026-05-19T16:10:05.716078+00:00", "ended_at": "2026-05-19T16:10:08.631530+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-671a-7002-8a38-066befdeecec\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ca6354ffe61023fc69cfdb281aaf0dcab7d06f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_6. +Result preview: [{"feature_1": "0", "percentile_measure": 100.0}, {"feature_1": "1", "percentile_measure": 100.0}, {"feature_1": "10", "percentile_measure": 100.0}, {"feature_1": "11", "percentile_measure": 100.0}, {"feature_1": "12", "percentile_measure": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7c2987e7b92284114736059b9b5de3432eccff71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/generated_sql.sql @@ -0,0 +1,38 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_a23b19dfa3304199 +-- problem_id: v2p_n9_7452745ed429bbbf +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "feature_1", + CAST("feature_6" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "feature_1" + ORDER BY CAST("feature_6" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "feature_1" + ) AS "cnt" + FROM "n9" +), +"percentile_points" AS ( + SELECT + "feature_1", + "measure_value" AS "percentile_measure" + FROM "ranked" + WHERE "rn" = CAST(((95 * "cnt") + 99) / 100 AS INTEGER) +) +SELECT + "feature_1", + "percentile_measure" +FROM "percentile_points" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01c75e5505205d245bffb2692cbefccb0077add7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/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_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"feature_1\",\n CAST(\"feature_6\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_1\"\n ORDER BY CAST(\"feature_6\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_1\"\n ) AS \"cnt\"\n FROM \"n9\"\n),\n\"percentile_points\" AS (\n SELECT\n \"feature_1\",\n \"measure_value\" AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" = CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER)\n)\nSELECT\n \"feature_1\",\n \"percentile_measure\"\nFROM \"percentile_points\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"feature_1\\\",\\n CAST(\\\"feature_6\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_1\\\"\\n ORDER BY CAST(\\\"feature_6\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_1\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"feature_1\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER)\\n)\\nSELECT\\n \\\"feature_1\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"feature_1\", \"percentile_measure\"], \"rows\": [{\"feature_1\": \"0\", \"percentile_measure\": 100.0}, {\"feature_1\": \"1\", \"percentile_measure\": 100.0}, {\"feature_1\": \"10\", \"percentile_measure\": 100.0}, {\"feature_1\": \"11\", \"percentile_measure\": 100.0}, {\"feature_1\": \"12\", \"percentile_measure\": 100.0}, {\"feature_1\": \"13\", \"percentile_measure\": 100.0}, {\"feature_1\": \"14\", \"percentile_measure\": 100.0}, {\"feature_1\": \"15\", \"percentile_measure\": 100.0}, {\"feature_1\": \"17\", \"percentile_measure\": 100.0}, {\"feature_1\": \"18\", \"percentile_measure\": 100.0}, {\"feature_1\": \"19\", \"percentile_measure\": 100.0}, {\"feature_1\": \"2\", \"percentile_measure\": 100.0}, {\"feature_1\": \"20\", \"percentile_measure\": 100.0}, {\"feature_1\": \"21\", \"percentile_measure\": 100.0}, {\"feature_1\": \"22\", \"percentile_measure\": 100.0}, {\"feature_1\": \"23\", \"percentile_measure\": 100.0}, {\"feature_1\": \"24\", \"percentile_measure\": 100.0}, {\"feature_1\": \"27\", \"percentile_measure\": 100.0}, {\"feature_1\": \"28\", \"percentile_measure\": 100.0}, {\"feature_1\": \"29\", \"percentile_measure\": 100.0}, {\"feature_1\": \"3\", \"percentile_measure\": 100.0}, {\"feature_1\": \"30\", \"percentile_measure\": 100.0}, {\"feature_1\": \"31\", \"percentile_measure\": 100.0}, {\"feature_1\": \"32\", \"percentile_measure\": 100.0}, {\"feature_1\": \"33\", \"percentile_measure\": 100.0}, {\"feature_1\": \"36\", \"percentile_measure\": 100.0}, {\"feature_1\": \"37\", \"percentile_measure\": 100.0}, {\"feature_1\": \"38\", \"percentile_measure\": 100.0}, {\"feature_1\": \"39\", \"percentile_measure\": 100.0}, {\"feature_1\": \"4\", \"percentile_measure\": 100.0}, {\"feature_1\": \"40\", \"percentile_measure\": 100.0}, {\"feature_1\": \"41\", \"percentile_measure\": 100.0}, {\"feature_1\": \"43\", \"percentile_measure\": 100.0}, {\"feature_1\": \"45\", \"percentile_measure\": 100.0}, {\"feature_1\": \"46\", \"percentile_measure\": 100.0}, {\"feature_1\": \"48\", \"percentile_measure\": 100.0}, {\"feature_1\": \"49\", \"percentile_measure\": 100.0}, {\"feature_1\": \"5\", \"percentile_measure\": 100.0}, {\"feature_1\": \"50\", \"percentile_measure\": 100.0}, {\"feature_1\": \"51\", \"percentile_measure\": 100.0}, {\"feature_1\": \"53\", \"percentile_measure\": 100.0}, {\"feature_1\": \"54\", \"percentile_measure\": 100.0}, {\"feature_1\": \"55\", \"percentile_measure\": 100.0}, {\"feature_1\": \"57\", \"percentile_measure\": 100.0}, {\"feature_1\": \"58\", \"percentile_measure\": 100.0}, {\"feature_1\": \"59\", \"percentile_measure\": 100.0}, {\"feature_1\": \"6\", \"percentile_measure\": 100.0}, {\"feature_1\": \"60\", \"percentile_measure\": 100.0}, {\"feature_1\": \"61\", \"percentile_measure\": 100.0}, {\"feature_1\": \"62\", \"percentile_measure\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 35.89}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3c4ac77f0758df0ce3a77f2deac4e7a2360b269d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:51:52.274059+00:00", + "ended_at": "2026-05-19T15:52:07.013562+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_a23b19dfa3304199", + "problem_id": "v2p_n9_7452745ed429bbbf", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_6.", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_6", + "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": 80.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_a23b19dfa3304199.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a23b19dfa3304199", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 784, + "total_tokens": 15762, + "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": 14698.66, + "sql_execution_elapsed_ms_total": 35.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1f563bb9446e4f82b26fa621743cff538894d9be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:06.975731+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14698.66, "started_at": "2026-05-19T15:51:52.276166+00:00", "ended_at": "2026-05-19T15:52:06.974862+00:00", "prompt_metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 876, "bytes_utf8": 876, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 784, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"feature_1\\\",\\n CAST(\\\"feature_6\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_1\\\"\\n ORDER BY CAST(\\\"feature_6\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_1\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"feature_1\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER)\\n)\\nSELECT\\n \\\"feature_1\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT, so this emulates the 95th percentile per feature_1 group by selecting the value at rank ceil(0.95 * group_size) after ordering feature_6 numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7e6ea38c793d98ec82847227b5b5d94e2c2f1f29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a23b19dfa3304199", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 784, + "total_tokens": 15762, + "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": 14698.66, + "sql_execution_elapsed_ms_total": 35.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a23b19dfa3304199/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e5ed23f7bc3ca50b98f8ec187ac9d0af41c54e1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:52:28.333094+00:00", + "ended_at": "2026-05-19T15:52:36.191079+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_a4eb6e2a5fe880c8", + "problem_id": "v2p_n9_78069896f9ed83e6", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "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 Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_7.", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_7", + "top_k": 16, + "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": 67.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bfc6c54cf3bcd49c2a8f63e15f714d15fda1a458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a4eb6e2a5fe880c8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:52:31.879424+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3544.25, "started_at": "2026-05-19T15:52:28.334423+00:00", "ended_at": "2026-05-19T15:52:31.878693+00:00", "prompt_metrics": {"chars": 9568, "bytes_utf8": 9568, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f0-44c4-7a91-b9da-1edbce3b2573\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:52:36.190911+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3309.33, "started_at": "2026-05-19T15:52:32.880873+00:00", "ended_at": "2026-05-19T15:52:36.190250+00:00", "prompt_metrics": {"chars": 9568, "bytes_utf8": 9568, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f0-5689-7853-b3a5-b7eb21d30cbf\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..08985a2f55b1e0c42841fbb266a688b13c967202 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_15, condition_col=class. +Result preview: [{"feature_15": "60", "condition_rate": 0.5454545454545454}, {"feature_15": "80", "condition_rate": 0.5384615384615384}, {"feature_15": "66", "condition_rate": 0.5294117647058824}, {"feature_15": "71", "condition_rate": 0.5208333333333334}, {"feature_15": "70", "condition_rate": 0.5}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bd96801589518d8ac1e9a49609d35c07182640da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_a5b87ec462d5b0c3 +-- problem_id: v2p_n9_51b0809e6de3dd52 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_15", + AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "n9" +GROUP BY "feature_15" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e571d1211acafe8f6db7dfa10b9cd6a993b9200 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/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_group_condition_rate\nSELECT \"feature_15\",\n AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_15\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_15\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"feature_15\", \"condition_rate\"], \"rows\": [{\"feature_15\": \"60\", \"condition_rate\": 0.5454545454545454}, {\"feature_15\": \"80\", \"condition_rate\": 0.5384615384615384}, {\"feature_15\": \"66\", \"condition_rate\": 0.5294117647058824}, {\"feature_15\": \"71\", \"condition_rate\": 0.5208333333333334}, {\"feature_15\": \"70\", \"condition_rate\": 0.5}, {\"feature_15\": \"53\", \"condition_rate\": 0.45161290322580644}, {\"feature_15\": \"57\", \"condition_rate\": 0.45}, {\"feature_15\": \"59\", \"condition_rate\": 0.4318181818181818}, {\"feature_15\": \"82\", \"condition_rate\": 0.42857142857142855}, {\"feature_15\": \"43\", \"condition_rate\": 0.4117647058823529}, {\"feature_15\": \"55\", \"condition_rate\": 0.41025641025641024}, {\"feature_15\": \"65\", \"condition_rate\": 0.4090909090909091}, {\"feature_15\": \"69\", \"condition_rate\": 0.40816326530612246}, {\"feature_15\": \"72\", \"condition_rate\": 0.40540540540540543}, {\"feature_15\": \"86\", \"condition_rate\": 0.4}, {\"feature_15\": \"77\", \"condition_rate\": 0.391304347826087}, {\"feature_15\": \"75\", \"condition_rate\": 0.391304347826087}, {\"feature_15\": \"78\", \"condition_rate\": 0.3877551020408163}, {\"feature_15\": \"68\", \"condition_rate\": 0.375}, {\"feature_15\": \"52\", \"condition_rate\": 0.36585365853658536}, {\"feature_15\": \"48\", \"condition_rate\": 0.34782608695652173}, {\"feature_15\": \"73\", \"condition_rate\": 0.34210526315789475}, {\"feature_15\": \"56\", \"condition_rate\": 0.34210526315789475}, {\"feature_15\": \"79\", \"condition_rate\": 0.3409090909090909}, {\"feature_15\": \"81\", \"condition_rate\": 0.3333333333333333}, {\"feature_15\": \"74\", \"condition_rate\": 0.3235294117647059}, {\"feature_15\": \"89\", \"condition_rate\": 0.3191489361702128}, {\"feature_15\": \"76\", \"condition_rate\": 0.3157894736842105}, {\"feature_15\": \"63\", \"condition_rate\": 0.3125}, {\"feature_15\": \"41\", \"condition_rate\": 0.3111111111111111}, {\"feature_15\": \"96\", \"condition_rate\": 0.3103448275862069}, {\"feature_15\": \"87\", \"condition_rate\": 0.30952380952380953}, {\"feature_15\": \"67\", \"condition_rate\": 0.3076923076923077}, {\"feature_15\": \"50\", \"condition_rate\": 0.3076923076923077}, {\"feature_15\": \"58\", \"condition_rate\": 0.30612244897959184}, {\"feature_15\": \"64\", \"condition_rate\": 0.3}, {\"feature_15\": \"91\", \"condition_rate\": 0.29545454545454547}, {\"feature_15\": \"62\", \"condition_rate\": 0.29545454545454547}, {\"feature_15\": \"85\", \"condition_rate\": 0.2857142857142857}, {\"feature_15\": \"84\", \"condition_rate\": 0.2830188679245283}, {\"feature_15\": \"93\", \"condition_rate\": 0.28205128205128205}, {\"feature_15\": \"90\", \"condition_rate\": 0.28205128205128205}, {\"feature_15\": \"83\", \"condition_rate\": 0.28205128205128205}, {\"feature_15\": \"54\", \"condition_rate\": 0.2558139534883721}, {\"feature_15\": \"49\", \"condition_rate\": 0.25}, {\"feature_15\": \"61\", \"condition_rate\": 0.24}, {\"feature_15\": \"97\", \"condition_rate\": 0.23809523809523808}, {\"feature_15\": \"51\", \"condition_rate\": 0.23255813953488372}, {\"feature_15\": \"47\", \"condition_rate\": 0.22641509433962265}, {\"feature_15\": \"37\", \"condition_rate\": 0.22641509433962265}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dc16dca36ff7f2eb18cdc8004d46ae5e7ef39c9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:02:13.144281+00:00", + "ended_at": "2026-05-19T16:02:22.829794+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_a5b87ec462d5b0c3", + "problem_id": "v2p_n9_51b0809e6de3dd52", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=feature_15, condition_col=class.", + "bindings": { + "group_col": "feature_15", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 100.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_a5b87ec462d5b0c3.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a5b87ec462d5b0c3", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 310, + "total_tokens": 15308, + "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": 9675.81, + "sql_execution_elapsed_ms_total": 5.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a18b0b1a25464920877ff9eeae4a166bfcbb1626 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:22.822864+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9675.81, "started_at": "2026-05-19T16:02:13.146257+00:00", "ended_at": "2026-05-19T16:02:22.822100+00:00", "prompt_metrics": {"chars": 9627, "bytes_utf8": 9627, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 431, "bytes_utf8": 431, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14998, "cached_input_tokens": 12032, "output_tokens": 310, "reasoning_output_tokens": 191}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_15\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_15\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col bound to \\\"feature_15\\\" and condition_col bound to \\\"class\\\", measuring the within-group proportion of rows where class = '4'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..802937d19a54257b6aad460841826e3002e01a41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a5b87ec462d5b0c3", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 310, + "total_tokens": 15308, + "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": 9675.81, + "sql_execution_elapsed_ms_total": 5.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a5b87ec462d5b0c3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f31cfb6bcede2e1a7e2d932575be4702254a8cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_12, measure_col=feature_16. +Result preview: [{"feature_12": "0", "group_value": 30935.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3ba754e67d7d5bac2e06770f9df3b100f0fe4b6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_a74cb57be4775838 +-- problem_id: v2p_n9_10c0c86611857971 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "feature_12", + SUM(CAST("feature_16" AS REAL)) AS "group_value" + FROM "n9" + GROUP BY "feature_12" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + "grouped"."feature_12", + "grouped"."group_value" +FROM "grouped" +CROSS JOIN "total" +WHERE "grouped"."group_value" > "total"."total_value" * 0.05 +ORDER BY "grouped"."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fd3a87678fe01299ab4c216de4500227fca60ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/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_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_12\",\n SUM(CAST(\"feature_16\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_12\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n \"grouped\".\"feature_12\",\n \"grouped\".\"group_value\"\nFROM \"grouped\"\nCROSS JOIN \"total\"\nWHERE \"grouped\".\"group_value\" > \"total\".\"total_value\" * 0.05\nORDER BY \"grouped\".\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_12\\\",\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_12\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n \\\"grouped\\\".\\\"feature_12\\\",\\n \\\"grouped\\\".\\\"group_value\\\"\\nFROM \\\"grouped\\\"\\nCROSS JOIN \\\"total\\\"\\nWHERE \\\"grouped\\\".\\\"group_value\\\" > \\\"total\\\".\\\"total_value\\\" * 0.05\\nORDER BY \\\"grouped\\\".\\\"group_value\\\" DESC;\", \"columns\": [\"feature_12\", \"group_value\"], \"rows\": [{\"feature_12\": \"0\", \"group_value\": 30935.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..522d6cfb187ad2c08cc3496d392a79e5446d0d31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:49:37.817822+00:00", + "ended_at": "2026-05-19T15:49:51.408572+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_a74cb57be4775838", + "problem_id": "v2p_n9_10c0c86611857971", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_12, measure_col=feature_16.", + "bindings": { + "group_col": "feature_12", + "measure_col": "feature_16", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_a74cb57be4775838.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a74cb57be4775838", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 12032, + "output_tokens": 735, + "total_tokens": 15811, + "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": 13577.44, + "sql_execution_elapsed_ms_total": 8.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f27a6d94c7951af5c3f564f06eafe84f107b3aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:51.398647+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13577.44, "started_at": "2026-05-19T15:49:37.820224+00:00", "ended_at": "2026-05-19T15:49:51.397698+00:00", "prompt_metrics": {"chars": 9949, "bytes_utf8": 9949, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 741, "bytes_utf8": 741, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 12032, "output_tokens": 735, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_12\\\",\\n SUM(CAST(\\\"feature_16\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_12\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n \\\"grouped\\\".\\\"feature_12\\\",\\n \\\"grouped\\\".\\\"group_value\\\"\\nFROM \\\"grouped\\\"\\nCROSS JOIN \\\"total\\\"\\nWHERE \\\"grouped\\\".\\\"group_value\\\" > \\\"total\\\".\\\"total_value\\\" * 0.05\\nORDER BY \\\"grouped\\\".\\\"group_value\\\" DESC;\",\"notes\":\"Used the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_12\\\" and measure_col=\\\"feature_16\\\". CAST is applied because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fd1db42fc87868024eb45590ca26d5fd9df5645a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a74cb57be4775838", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 12032, + "output_tokens": 735, + "total_tokens": 15811, + "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": 13577.44, + "sql_execution_elapsed_ms_total": 8.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a74cb57be4775838/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..112d09a921b720b6cd049286a7ee0de9f59d4920 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_1. +Result preview: [{"feature_1": "100", "total_measure": 114300.0}, {"feature_1": "86", "total_measure": 5418.0}, {"feature_1": "88", "total_measure": 5280.0}, {"feature_1": "55", "total_measure": 4730.0}, {"feature_1": "38", "total_measure": 4674.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..beb975229c93252b9fb799edba6584ff477de178 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_a7d1ea22b39647cc +-- problem_id: v2p_n9_1c5f3c8023413fb5 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_1", SUM(CAST("feature_1" AS REAL)) AS "total_measure" +FROM "n9" +GROUP BY "feature_1" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9ea37d99e115ea0d19619defbd9a0a5b52c692d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/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_h2o_group_sum\nSELECT \"feature_1\", SUM(CAST(\"feature_1\" AS REAL)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_1\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"feature_1\", \"total_measure\"], \"rows\": [{\"feature_1\": \"100\", \"total_measure\": 114300.0}, {\"feature_1\": \"86\", \"total_measure\": 5418.0}, {\"feature_1\": \"88\", \"total_measure\": 5280.0}, {\"feature_1\": \"55\", \"total_measure\": 4730.0}, {\"feature_1\": \"38\", \"total_measure\": 4674.0}, {\"feature_1\": \"42\", \"total_measure\": 4662.0}, {\"feature_1\": \"77\", \"total_measure\": 4543.0}, {\"feature_1\": \"56\", \"total_measure\": 4536.0}, {\"feature_1\": \"32\", \"total_measure\": 4384.0}, {\"feature_1\": \"95\", \"total_measure\": 4370.0}, {\"feature_1\": \"84\", \"total_measure\": 4368.0}, {\"feature_1\": \"97\", \"total_measure\": 4365.0}, {\"feature_1\": \"46\", \"total_measure\": 4324.0}, {\"feature_1\": \"53\", \"total_measure\": 4293.0}, {\"feature_1\": \"72\", \"total_measure\": 4248.0}, {\"feature_1\": \"80\", \"total_measure\": 4240.0}, {\"feature_1\": \"49\", \"total_measure\": 4214.0}, {\"feature_1\": \"78\", \"total_measure\": 4212.0}, {\"feature_1\": \"44\", \"total_measure\": 4180.0}, {\"feature_1\": \"70\", \"total_measure\": 4130.0}, {\"feature_1\": \"54\", \"total_measure\": 4104.0}, {\"feature_1\": \"63\", \"total_measure\": 4095.0}, {\"feature_1\": \"93\", \"total_measure\": 4092.0}, {\"feature_1\": \"40\", \"total_measure\": 4080.0}, {\"feature_1\": \"81\", \"total_measure\": 4050.0}, {\"feature_1\": \"62\", \"total_measure\": 3968.0}, {\"feature_1\": \"90\", \"total_measure\": 3960.0}, {\"feature_1\": \"45\", \"total_measure\": 3960.0}, {\"feature_1\": \"59\", \"total_measure\": 3953.0}, {\"feature_1\": \"76\", \"total_measure\": 3952.0}, {\"feature_1\": \"48\", \"total_measure\": 3936.0}, {\"feature_1\": \"51\", \"total_measure\": 3927.0}, {\"feature_1\": \"69\", \"total_measure\": 3864.0}, {\"feature_1\": \"35\", \"total_measure\": 3815.0}, {\"feature_1\": \"89\", \"total_measure\": 3738.0}, {\"feature_1\": \"60\", \"total_measure\": 3720.0}, {\"feature_1\": \"36\", \"total_measure\": 3708.0}, {\"feature_1\": \"75\", \"total_measure\": 3675.0}, {\"feature_1\": \"47\", \"total_measure\": 3666.0}, {\"feature_1\": \"73\", \"total_measure\": 3650.0}, {\"feature_1\": \"50\", \"total_measure\": 3650.0}, {\"feature_1\": \"41\", \"total_measure\": 3649.0}, {\"feature_1\": \"39\", \"total_measure\": 3627.0}, {\"feature_1\": \"43\", \"total_measure\": 3612.0}, {\"feature_1\": \"52\", \"total_measure\": 3588.0}, {\"feature_1\": \"65\", \"total_measure\": 3575.0}, {\"feature_1\": \"66\", \"total_measure\": 3564.0}, {\"feature_1\": \"33\", \"total_measure\": 3564.0}, {\"feature_1\": \"74\", \"total_measure\": 3552.0}, {\"feature_1\": \"31\", \"total_measure\": 3534.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..865345e51ac715f3c895868328c5fda0ccfc344d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:28:29.098170+00:00", + "ended_at": "2026-05-19T15:28:39.687719+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_a7d1ea22b39647cc", + "problem_id": "v2p_n9_1c5f3c8023413fb5", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_1, measure_col=feature_1.", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_1", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 50.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_a7d1ea22b39647cc.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a7d1ea22b39647cc", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 4480, + "output_tokens": 453, + "total_tokens": 15393, + "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": 10571.84, + "sql_execution_elapsed_ms_total": 11.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c7895affda7b8126c460136af361a54e83db5836 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:39.672731+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10571.84, "started_at": "2026-05-19T15:28:29.099289+00:00", "ended_at": "2026-05-19T15:28:39.671162+00:00", "prompt_metrics": {"chars": 9390, "bytes_utf8": 9390, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 4480, "output_tokens": 453, "reasoning_output_tokens": 351}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_1\\\", SUM(CAST(\\\"feature_1\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with both group and measure bound to \\\"feature_1\\\". CAST was added because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d8c47204357f79e308a991eb5704af6007e98115 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_a7d1ea22b39647cc", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 4480, + "output_tokens": 453, + "total_tokens": 15393, + "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": 10571.84, + "sql_execution_elapsed_ms_total": 11.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a7d1ea22b39647cc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..837e63fcdf2358aa90913e29c6639be877291718 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "100", "support": 509, "support_share": 0.046306404657933044, "cumulative_support": 509}, {"value_label": "50", "support": 443, "support_share": 0.04030203784570597, "cumulative_support": 952}, {"value_label": "51", "support": 313, "support_share": 0.028475254730713245, "cumulative_support": 1265}, {"value_label": "49", "support": 298, "support_share": 0.027110625909752547, "cumulative_support": 1563}, {"value_label": "53", "support": 256, "support_share": 0.023289665211062592, "cumulative_support": 1819}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7cab5dffdc2a7d2b788e967c32482088524019d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n9_a84af20ba7cbfc88 +-- problem_id: v2p_n9_d512f1c2b24f15cb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_13" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_13" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..714ef228788d6436c1b6791a21927b1a21923d5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n9_a84af20ba7cbfc88\n-- problem_id: v2p_n9_d512f1c2b24f15cb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_13\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_13\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n9_a84af20ba7cbfc88\\n-- problem_id: v2p_n9_d512f1c2b24f15cb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_13\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_13\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"100\", \"support\": 509, \"support_share\": 0.046306404657933044, \"cumulative_support\": 509}, {\"value_label\": \"50\", \"support\": 443, \"support_share\": 0.04030203784570597, \"cumulative_support\": 952}, {\"value_label\": \"51\", \"support\": 313, \"support_share\": 0.028475254730713245, \"cumulative_support\": 1265}, {\"value_label\": \"49\", \"support\": 298, \"support_share\": 0.027110625909752547, \"cumulative_support\": 1563}, {\"value_label\": \"53\", \"support\": 256, \"support_share\": 0.023289665211062592, \"cumulative_support\": 1819}, {\"value_label\": \"52\", \"support\": 255, \"support_share\": 0.023198689956331876, \"cumulative_support\": 2074}, {\"value_label\": \"48\", \"support\": 250, \"support_share\": 0.02274381368267831, \"cumulative_support\": 2324}, {\"value_label\": \"55\", \"support\": 225, \"support_share\": 0.02046943231441048, \"cumulative_support\": 2549}, {\"value_label\": \"46\", \"support\": 218, \"support_share\": 0.019832605531295486, \"cumulative_support\": 2767}, {\"value_label\": \"56\", \"support\": 217, \"support_share\": 0.019741630276564774, \"cumulative_support\": 2984}, {\"value_label\": \"54\", \"support\": 209, \"support_share\": 0.01901382823871907, \"cumulative_support\": 3193}, {\"value_label\": \"60\", \"support\": 208, \"support_share\": 0.018922852983988356, \"cumulative_support\": 3401}, {\"value_label\": \"45\", \"support\": 205, \"support_share\": 0.018649927219796216, \"cumulative_support\": 3606}, {\"value_label\": \"58\", \"support\": 205, \"support_share\": 0.018649927219796216, \"cumulative_support\": 3811}, {\"value_label\": \"62\", \"support\": 200, \"support_share\": 0.018195050946142648, \"cumulative_support\": 4011}, {\"value_label\": \"57\", \"support\": 199, \"support_share\": 0.018104075691411935, \"cumulative_support\": 4210}, {\"value_label\": \"41\", \"support\": 192, \"support_share\": 0.017467248908296942, \"cumulative_support\": 4402}, {\"value_label\": \"47\", \"support\": 192, \"support_share\": 0.017467248908296942, \"cumulative_support\": 4594}, {\"value_label\": \"0\", \"support\": 186, \"support_share\": 0.016921397379912665, \"cumulative_support\": 4780}, {\"value_label\": \"43\", \"support\": 184, \"support_share\": 0.016739446870451237, \"cumulative_support\": 4964}, {\"value_label\": \"42\", \"support\": 182, \"support_share\": 0.016557496360989812, \"cumulative_support\": 5146}, {\"value_label\": \"44\", \"support\": 181, \"support_share\": 0.016466521106259097, \"cumulative_support\": 5327}, {\"value_label\": \"61\", \"support\": 171, \"support_share\": 0.015556768558951965, \"cumulative_support\": 5498}, {\"value_label\": \"38\", \"support\": 161, \"support_share\": 0.014647016011644833, \"cumulative_support\": 5659}, {\"value_label\": \"40\", \"support\": 157, \"support_share\": 0.014283114992721979, \"cumulative_support\": 5816}, {\"value_label\": \"59\", \"support\": 155, \"support_share\": 0.014101164483260552, \"cumulative_support\": 5971}, {\"value_label\": \"37\", \"support\": 150, \"support_share\": 0.013646288209606987, \"cumulative_support\": 6121}, {\"value_label\": \"64\", \"support\": 141, \"support_share\": 0.012827510917030568, \"cumulative_support\": 6262}, {\"value_label\": \"63\", \"support\": 139, \"support_share\": 0.012645560407569142, \"cumulative_support\": 6401}, {\"value_label\": \"65\", \"support\": 138, \"support_share\": 0.012554585152838428, \"cumulative_support\": 6539}, {\"value_label\": \"39\", \"support\": 136, \"support_share\": 0.012372634643377001, \"cumulative_support\": 6675}, {\"value_label\": \"66\", \"support\": 133, \"support_share\": 0.012099708879184861, \"cumulative_support\": 6808}, {\"value_label\": \"68\", \"support\": 133, \"support_share\": 0.012099708879184861, \"cumulative_support\": 6941}, {\"value_label\": \"36\", \"support\": 129, \"support_share\": 0.011735807860262008, \"cumulative_support\": 7070}, {\"value_label\": \"67\", \"support\": 124, \"support_share\": 0.011280931586608443, \"cumulative_support\": 7194}, {\"value_label\": \"35\", \"support\": 122, \"support_share\": 0.011098981077147015, \"cumulative_support\": 7316}, {\"value_label\": \"70\", \"support\": 115, \"support_share\": 0.010462154294032024, \"cumulative_support\": 7431}, {\"value_label\": \"69\", \"support\": 105, \"support_share\": 0.00955240174672489, \"cumulative_support\": 7536}, {\"value_label\": \"34\", \"support\": 101, \"support_share\": 0.009188500727802038, \"cumulative_support\": 7637}, {\"value_label\": \"76\", \"support\": 101, \"support_share\": 0.009188500727802038, \"cumulative_support\": 7738}, {\"value_label\": \"32\", \"support\": 100, \"support_share\": 0.009097525473071324, \"cumulative_support\": 7838}, {\"value_label\": \"80\", \"support\": 97, \"support_share\": 0.008824599708879185, \"cumulative_support\": 7935}, {\"value_label\": \"33\", \"support\": 96, \"support_share\": 0.008733624454148471, \"cumulative_support\": 8031}, {\"value_label\": \"78\", \"support\": 93, \"support_share\": 0.008460698689956333, \"cumulative_support\": 8124}, {\"value_label\": \"75\", \"support\": 92, \"support_share\": 0.008369723435225618, \"cumulative_support\": 8216}, {\"value_label\": \"73\", \"support\": 90, \"support_share\": 0.008187772925764192, \"cumulative_support\": 8306}, {\"value_label\": \"74\", \"support\": 89, \"support_share\": 0.008096797671033478, \"cumulative_support\": 8395}, {\"value_label\": \"29\", \"support\": 87, \"support_share\": 0.007914847161572052, \"cumulative_support\": 8482}, {\"value_label\": \"84\", \"support\": 86, \"support_share\": 0.00782387190684134, \"cumulative_support\": 8568}, {\"value_label\": \"71\", \"support\": 82, \"support_share\": 0.007459970887918486, \"cumulative_support\": 8650}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..738b50ec4ad2427591d58fba0c1ca13fa2dfb66a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.765633+00:00", + "ended_at": "2026-05-19T16:10:15.771015+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_a84af20ba7cbfc88", + "problem_id": "v2p_n9_d512f1c2b24f15cb", + "dataset_id": "n9", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=feature_13.", + "bindings": { + "group_col": "feature_13" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_a84af20ba7cbfc88.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a84af20ba7cbfc88/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2b5de0a2b35acb29f56608c0de1694454dcba920 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:09:24.972741+00:00", + "ended_at": "2026-05-19T16:09:32.310531+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_a8fb94c67f9f2158", + "problem_id": "v2p_n9_5f4f5173d5124e27", + "dataset_id": "n9", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_2, measure_col=feature_10.", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_10", + "top_k": 17, + "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": 45.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb16d76ae0901610cbf31bfbc03e960ef64c2713 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_a8fb94c67f9f2158/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:27.998855+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3022.42, "started_at": "2026-05-19T16:09:24.975316+00:00", "ended_at": "2026-05-19T16:09:27.997772+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-c7ef-73c1-86ee-324757f48295\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:32.310431+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3309.66, "started_at": "2026-05-19T16:09:28.999922+00:00", "ended_at": "2026-05-19T16:09:32.309623+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-d7ac-7dc1-98e1-51a197136794\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..35e2671535f6d2c3e638aca372b765f76066ddbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:08:17.720932+00:00", + "ended_at": "2026-05-19T16:08:24.919145+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_aa1696acb1ae8c33", + "problem_id": "v2p_n9_f2847b4946e55a10", + "dataset_id": "n9", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=feature_15, measure_col=feature_6.", + "bindings": { + "group_col": "feature_15", + "measure_col": "feature_6", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..99304941a34d627d3b7d55e8b61476de606174dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_aa1696acb1ae8c33/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:20.905024+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3181.96, "started_at": "2026-05-19T16:08:17.722242+00:00", "ended_at": "2026-05-19T16:08:20.904228+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-c13d-7870-9074-c6e28b14ea20\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:24.919058+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3012.2, "started_at": "2026-05-19T16:08:21.906113+00:00", "ended_at": "2026-05-19T16:08:24.918340+00:00", "prompt_metrics": {"chars": 9477, "bytes_utf8": 9477, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-d187-7b71-8ca2-baa9b6de9e0c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab0ac5149e02a078be8082621629dbe3f0a58e36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=class, condition_col=class. +Result preview: [{"class": "2", "condition_rate": 1.0}, {"class": "9", "condition_rate": 0.0}, {"class": "8", "condition_rate": 0.0}, {"class": "7", "condition_rate": 0.0}, {"class": "6", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..46ec2195bcc2863a42b0f52942bfd03241b66ad0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_b4b5dd5e9a74aa20 +-- problem_id: v2p_n9_09e24e8e16328141 +-- realization_mode: agent +-- source_kind: agent +SELECT "class", + AVG(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS condition_rate +FROM "n9" +GROUP BY "class" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e00f5cf5186ce1eeba0600e028623bf26bc3b5e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"class\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"class\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"class\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"class\", \"condition_rate\"], \"rows\": [{\"class\": \"2\", \"condition_rate\": 1.0}, {\"class\": \"9\", \"condition_rate\": 0.0}, {\"class\": \"8\", \"condition_rate\": 0.0}, {\"class\": \"7\", \"condition_rate\": 0.0}, {\"class\": \"6\", \"condition_rate\": 0.0}, {\"class\": \"5\", \"condition_rate\": 0.0}, {\"class\": \"4\", \"condition_rate\": 0.0}, {\"class\": \"3\", \"condition_rate\": 0.0}, {\"class\": \"1\", \"condition_rate\": 0.0}, {\"class\": \"0\", \"condition_rate\": 0.0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6b8b3633af0cc8668eaf70cd30079693bdc0a90e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:02:44.843864+00:00", + "ended_at": "2026-05-19T16:02:57.064011+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_b4b5dd5e9a74aa20", + "problem_id": "v2p_n9_09e24e8e16328141", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=class, condition_col=class.", + "bindings": { + "group_col": "class", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 11, + "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": 86.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_b4b5dd5e9a74aa20.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_b4b5dd5e9a74aa20", + "api_calls": 0, + "input_tokens": 14993, + "cached_input_tokens": 12032, + "output_tokens": 318, + "total_tokens": 15311, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11209.83, + "sql_execution_elapsed_ms_total": 5.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..103957e483fe5b43fa0d8683bc18bee335ff4a0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:47.898506+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3052.59, "started_at": "2026-05-19T16:02:44.845215+00:00", "ended_at": "2026-05-19T16:02:47.897827+00:00", "prompt_metrics": {"chars": 9609, "bytes_utf8": 9609, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-acff-7d93-8854-2412e45fef2b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:02:57.057520+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8157.24, "started_at": "2026-05-19T16:02:48.899403+00:00", "ended_at": "2026-05-19T16:02:57.056678+00:00", "prompt_metrics": {"chars": 9609, "bytes_utf8": 9609, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 483, "bytes_utf8": 483, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14993, "cached_input_tokens": 12032, "output_tokens": 318, "reasoning_output_tokens": 188}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"class\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"class\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with both group_col and condition_col bound to \\\"class\\\" and condition_value set to '2'. Because the grouping column matches the condition column, the rate will be 1.0 for class '2' and 0.0 for other classes.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8b4a6d16ae67cc9d903747b5daf1356808e490ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_b4b5dd5e9a74aa20", + "api_calls": 0, + "input_tokens": 14993, + "cached_input_tokens": 12032, + "output_tokens": 318, + "total_tokens": 15311, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11209.83, + "sql_execution_elapsed_ms_total": 5.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4b5dd5e9a74aa20/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d09c03ed94cc112095e0cafac31e83d5b8c4a982 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_5, measure_col=feature_9. +Result preview: [{"feature_5": "0", "group_value": 130308.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e102f94a46ef0d3098661cbfbfc614f11eb2c108 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_b4e0cf02e50549ea +-- problem_id: v2p_n9_96325291073298c2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_5", SUM(CAST("feature_9" AS REAL)) AS group_value + FROM "n9" + GROUP BY "feature_5" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."feature_5", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d475f61e9e17c4b0b837ebc68ff39bcf2c376979 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/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_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_5\", SUM(CAST(\"feature_9\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_5\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_5\", 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_5\\\", 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;\", \"columns\": [\"feature_5\", \"group_value\"], \"rows\": [{\"feature_5\": \"0\", \"group_value\": 130308.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..93839530badc1dfad30646e90e6d9bc867f095f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:46:04.229539+00:00", + "ended_at": "2026-05-19T15:46:25.316440+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_b4e0cf02e50549ea", + "problem_id": "v2p_n9_96325291073298c2", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_5, measure_col=feature_9.", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_9", + "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": 89.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_b4e0cf02e50549ea.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_b4e0cf02e50549ea", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 468, + "total_tokens": 15544, + "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": 21077.74, + "sql_execution_elapsed_ms_total": 5.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5fff7366fa94b022944e494d0af991c27c519aff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:25.309252+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 21077.74, "started_at": "2026-05-19T15:46:04.230614+00:00", "ended_at": "2026-05-19T15:46:25.308379+00:00", "prompt_metrics": {"chars": 9943, "bytes_utf8": 9943, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 468, "reasoning_output_tokens": 298}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_5\\\", SUM(CAST(\\\"feature_9\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_5\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"feature_5\\\" and measure_col=\\\"feature_9\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a538d4e8afd2dbdc12ebabf2a01b522dc24b9fb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_b4e0cf02e50549ea", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 468, + "total_tokens": 15544, + "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": 21077.74, + "sql_execution_elapsed_ms_total": 5.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b4e0cf02e50549ea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5972b659358443a342c9d8f0832eb1a210280da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "100", "support": 2988, "support_share": 0.2718340611353712, "cumulative_support": 2988}, {"value_label": "0", "support": 2917, "support_share": 0.26537481804949054, "cumulative_support": 5905}, {"value_label": "7", "support": 96, "support_share": 0.008733624454148471, "cumulative_support": 6001}, {"value_label": "8", "support": 89, "support_share": 0.008096797671033478, "cumulative_support": 6090}, {"value_label": "5", "support": 86, "support_share": 0.00782387190684134, "cumulative_support": 6176}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0bbe9f9720976bce5cede16f755056896bcee061 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n9_b60ec2bf50067512 +-- problem_id: v2p_n9_b8ed6689c276d13f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_15" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_15" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d3d22cbc208d81638d6da2a48ba582b888f8f4e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n9_b60ec2bf50067512\n-- problem_id: v2p_n9_b8ed6689c276d13f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_15\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_15\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n9_b60ec2bf50067512\\n-- problem_id: v2p_n9_b8ed6689c276d13f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_15\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_15\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"100\", \"support\": 2988, \"support_share\": 0.2718340611353712, \"cumulative_support\": 2988}, {\"value_label\": \"0\", \"support\": 2917, \"support_share\": 0.26537481804949054, \"cumulative_support\": 5905}, {\"value_label\": \"7\", \"support\": 96, \"support_share\": 0.008733624454148471, \"cumulative_support\": 6001}, {\"value_label\": \"8\", \"support\": 89, \"support_share\": 0.008096797671033478, \"cumulative_support\": 6090}, {\"value_label\": \"5\", \"support\": 86, \"support_share\": 0.00782387190684134, \"cumulative_support\": 6176}, {\"value_label\": \"9\", \"support\": 86, \"support_share\": 0.00782387190684134, \"cumulative_support\": 6262}, {\"value_label\": \"6\", \"support\": 83, \"support_share\": 0.007550946142649199, \"cumulative_support\": 6345}, {\"value_label\": \"16\", \"support\": 82, \"support_share\": 0.007459970887918486, \"cumulative_support\": 6427}, {\"value_label\": \"10\", \"support\": 81, \"support_share\": 0.007368995633187773, \"cumulative_support\": 6508}, {\"value_label\": \"11\", \"support\": 77, \"support_share\": 0.00700509461426492, \"cumulative_support\": 6585}, {\"value_label\": \"19\", \"support\": 77, \"support_share\": 0.00700509461426492, \"cumulative_support\": 6662}, {\"value_label\": \"3\", \"support\": 74, \"support_share\": 0.006732168850072781, \"cumulative_support\": 6736}, {\"value_label\": \"12\", \"support\": 73, \"support_share\": 0.0066411935953420665, \"cumulative_support\": 6809}, {\"value_label\": \"15\", \"support\": 73, \"support_share\": 0.0066411935953420665, \"cumulative_support\": 6882}, {\"value_label\": \"24\", \"support\": 71, \"support_share\": 0.00645924308588064, \"cumulative_support\": 6953}, {\"value_label\": \"14\", \"support\": 70, \"support_share\": 0.006368267831149927, \"cumulative_support\": 7023}, {\"value_label\": \"21\", \"support\": 70, \"support_share\": 0.006368267831149927, \"cumulative_support\": 7093}, {\"value_label\": \"29\", \"support\": 70, \"support_share\": 0.006368267831149927, \"cumulative_support\": 7163}, {\"value_label\": \"22\", \"support\": 69, \"support_share\": 0.006277292576419214, \"cumulative_support\": 7232}, {\"value_label\": \"13\", \"support\": 68, \"support_share\": 0.006186317321688501, \"cumulative_support\": 7300}, {\"value_label\": \"18\", \"support\": 68, \"support_share\": 0.006186317321688501, \"cumulative_support\": 7368}, {\"value_label\": \"25\", \"support\": 66, \"support_share\": 0.006004366812227074, \"cumulative_support\": 7434}, {\"value_label\": \"88\", \"support\": 66, \"support_share\": 0.006004366812227074, \"cumulative_support\": 7500}, {\"value_label\": \"20\", \"support\": 64, \"support_share\": 0.005822416302765648, \"cumulative_support\": 7564}, {\"value_label\": \"2\", \"support\": 63, \"support_share\": 0.005731441048034935, \"cumulative_support\": 7627}, {\"value_label\": \"23\", \"support\": 61, \"support_share\": 0.005549490538573508, \"cumulative_support\": 7688}, {\"value_label\": \"17\", \"support\": 60, \"support_share\": 0.0054585152838427945, \"cumulative_support\": 7748}, {\"value_label\": \"39\", \"support\": 60, \"support_share\": 0.0054585152838427945, \"cumulative_support\": 7808}, {\"value_label\": \"30\", \"support\": 57, \"support_share\": 0.005185589519650655, \"cumulative_support\": 7865}, {\"value_label\": \"36\", \"support\": 57, \"support_share\": 0.005185589519650655, \"cumulative_support\": 7922}, {\"value_label\": \"44\", \"support\": 57, \"support_share\": 0.005185589519650655, \"cumulative_support\": 7979}, {\"value_label\": \"27\", \"support\": 56, \"support_share\": 0.005094614264919942, \"cumulative_support\": 8035}, {\"value_label\": \"31\", \"support\": 56, \"support_share\": 0.005094614264919942, \"cumulative_support\": 8091}, {\"value_label\": \"32\", \"support\": 56, \"support_share\": 0.005094614264919942, \"cumulative_support\": 8147}, {\"value_label\": \"33\", \"support\": 56, \"support_share\": 0.005094614264919942, \"cumulative_support\": 8203}, {\"value_label\": \"1\", \"support\": 55, \"support_share\": 0.005003639010189229, \"cumulative_support\": 8258}, {\"value_label\": \"45\", \"support\": 55, \"support_share\": 0.005003639010189229, \"cumulative_support\": 8313}, {\"value_label\": \"26\", \"support\": 54, \"support_share\": 0.0049126637554585155, \"cumulative_support\": 8367}, {\"value_label\": \"28\", \"support\": 54, \"support_share\": 0.0049126637554585155, \"cumulative_support\": 8421}, {\"value_label\": \"34\", \"support\": 53, \"support_share\": 0.004821688500727802, \"cumulative_support\": 8474}, {\"value_label\": \"37\", \"support\": 53, \"support_share\": 0.004821688500727802, \"cumulative_support\": 8527}, {\"value_label\": \"47\", \"support\": 53, \"support_share\": 0.004821688500727802, \"cumulative_support\": 8580}, {\"value_label\": \"84\", \"support\": 53, \"support_share\": 0.004821688500727802, \"cumulative_support\": 8633}, {\"value_label\": \"43\", \"support\": 51, \"support_share\": 0.004639737991266376, \"cumulative_support\": 8684}, {\"value_label\": \"35\", \"support\": 49, \"support_share\": 0.004457787481804949, \"cumulative_support\": 8733}, {\"value_label\": \"58\", \"support\": 49, \"support_share\": 0.004457787481804949, \"cumulative_support\": 8782}, {\"value_label\": \"69\", \"support\": 49, \"support_share\": 0.004457787481804949, \"cumulative_support\": 8831}, {\"value_label\": \"78\", \"support\": 49, \"support_share\": 0.004457787481804949, \"cumulative_support\": 8880}, {\"value_label\": \"71\", \"support\": 48, \"support_share\": 0.004366812227074236, \"cumulative_support\": 8928}, {\"value_label\": \"89\", \"support\": 47, \"support_share\": 0.004275836972343522, \"cumulative_support\": 8975}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..12b0ad71879b28548c7814b540d24c2b34bea79e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.771474+00:00", + "ended_at": "2026-05-19T16:10:15.776691+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_b60ec2bf50067512", + "problem_id": "v2p_n9_b8ed6689c276d13f", + "dataset_id": "n9", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=feature_15.", + "bindings": { + "group_col": "feature_15" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_b60ec2bf50067512.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b60ec2bf50067512/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7143794eba6f32fafa3669a60210def82e260462 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 4044, "support_share": 0.36790393013100436, "support_rank": 1}, {"value_label": "100", "support": 759, "support_share": 0.06905021834061136, "support_rank": 2}, {"value_label": "1", "support": 228, "support_share": 0.02074235807860262, "support_rank": 3}, {"value_label": "2", "support": 185, "support_share": 0.01683042212518195, "support_rank": 4}, {"value_label": "5", "support": 175, "support_share": 0.01592066957787482, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0edb2f93dc51d4338d0fa300c4b641f900f835b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n9_b84da52a29d01370 +-- problem_id: v2p_n9_eab9655253da74ea +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_16" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_16" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..24bca20a25b39fb01577bff82ab4ebf31b3cb0cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n9_b84da52a29d01370\n-- problem_id: v2p_n9_eab9655253da74ea\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_16\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_16\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n9_b84da52a29d01370\\n-- problem_id: v2p_n9_eab9655253da74ea\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_16\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_16\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 4044, \"support_share\": 0.36790393013100436, \"support_rank\": 1}, {\"value_label\": \"100\", \"support\": 759, \"support_share\": 0.06905021834061136, \"support_rank\": 2}, {\"value_label\": \"1\", \"support\": 228, \"support_share\": 0.02074235807860262, \"support_rank\": 3}, {\"value_label\": \"2\", \"support\": 185, \"support_share\": 0.01683042212518195, \"support_rank\": 4}, {\"value_label\": \"5\", \"support\": 175, \"support_share\": 0.01592066957787482, \"support_rank\": 5}, {\"value_label\": \"3\", \"support\": 174, \"support_share\": 0.015829694323144104, \"support_rank\": 6}, {\"value_label\": \"4\", \"support\": 164, \"support_share\": 0.014919941775836972, \"support_rank\": 7}, {\"value_label\": \"7\", \"support\": 151, \"support_share\": 0.0137372634643377, \"support_rank\": 8}, {\"value_label\": \"6\", \"support\": 146, \"support_share\": 0.013282387190684133, \"support_rank\": 9}, {\"value_label\": \"8\", \"support\": 141, \"support_share\": 0.012827510917030568, \"support_rank\": 10}, {\"value_label\": \"12\", \"support\": 111, \"support_share\": 0.01009825327510917, \"support_rank\": 11}, {\"value_label\": \"10\", \"support\": 107, \"support_share\": 0.009734352256186317, \"support_rank\": 12}, {\"value_label\": \"9\", \"support\": 103, \"support_share\": 0.009370451237263464, \"support_rank\": 13}, {\"value_label\": \"11\", \"support\": 101, \"support_share\": 0.009188500727802038, \"support_rank\": 14}, {\"value_label\": \"19\", \"support\": 99, \"support_share\": 0.009006550218340612, \"support_rank\": 15}, {\"value_label\": \"13\", \"support\": 93, \"support_share\": 0.008460698689956333, \"support_rank\": 16}, {\"value_label\": \"16\", \"support\": 88, \"support_share\": 0.008005822416302766, \"support_rank\": 17}, {\"value_label\": \"15\", \"support\": 85, \"support_share\": 0.007732896652110626, \"support_rank\": 18}, {\"value_label\": \"98\", \"support\": 85, \"support_share\": 0.007732896652110626, \"support_rank\": 19}, {\"value_label\": \"99\", \"support\": 85, \"support_share\": 0.007732896652110626, \"support_rank\": 20}, {\"value_label\": \"14\", \"support\": 83, \"support_share\": 0.007550946142649199, \"support_rank\": 21}, {\"value_label\": \"38\", \"support\": 72, \"support_share\": 0.006550218340611353, \"support_rank\": 22}, {\"value_label\": \"37\", \"support\": 71, \"support_share\": 0.00645924308588064, \"support_rank\": 23}, {\"value_label\": \"17\", \"support\": 70, \"support_share\": 0.006368267831149927, \"support_rank\": 24}, {\"value_label\": \"20\", \"support\": 70, \"support_share\": 0.006368267831149927, \"support_rank\": 25}, {\"value_label\": \"28\", \"support\": 69, \"support_share\": 0.006277292576419214, \"support_rank\": 26}, {\"value_label\": \"25\", \"support\": 68, \"support_share\": 0.006186317321688501, \"support_rank\": 27}, {\"value_label\": \"23\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"support_rank\": 28}, {\"value_label\": \"32\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"support_rank\": 29}, {\"value_label\": \"33\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"support_rank\": 30}, {\"value_label\": \"34\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"support_rank\": 31}, {\"value_label\": \"95\", \"support\": 67, \"support_share\": 0.0060953420669577875, \"support_rank\": 32}, {\"value_label\": \"18\", \"support\": 66, \"support_share\": 0.006004366812227074, \"support_rank\": 33}, {\"value_label\": \"22\", \"support\": 65, \"support_share\": 0.005913391557496361, \"support_rank\": 34}, {\"value_label\": \"39\", \"support\": 65, \"support_share\": 0.005913391557496361, \"support_rank\": 35}, {\"value_label\": \"94\", \"support\": 64, \"support_share\": 0.005822416302765648, \"support_rank\": 36}, {\"value_label\": \"97\", \"support\": 64, \"support_share\": 0.005822416302765648, \"support_rank\": 37}, {\"value_label\": \"31\", \"support\": 63, \"support_share\": 0.005731441048034935, \"support_rank\": 38}, {\"value_label\": \"36\", \"support\": 63, \"support_share\": 0.005731441048034935, \"support_rank\": 39}, {\"value_label\": \"96\", \"support\": 63, \"support_share\": 0.005731441048034935, \"support_rank\": 40}, {\"value_label\": \"29\", \"support\": 62, \"support_share\": 0.005640465793304222, \"support_rank\": 41}, {\"value_label\": \"30\", \"support\": 61, \"support_share\": 0.005549490538573508, \"support_rank\": 42}, {\"value_label\": \"35\", \"support\": 61, \"support_share\": 0.005549490538573508, \"support_rank\": 43}, {\"value_label\": \"40\", \"support\": 61, \"support_share\": 0.005549490538573508, \"support_rank\": 44}, {\"value_label\": \"88\", \"support\": 61, \"support_share\": 0.005549490538573508, \"support_rank\": 45}, {\"value_label\": \"27\", \"support\": 60, \"support_share\": 0.0054585152838427945, \"support_rank\": 46}, {\"value_label\": \"86\", \"support\": 60, \"support_share\": 0.0054585152838427945, \"support_rank\": 47}, {\"value_label\": \"42\", \"support\": 59, \"support_share\": 0.005367540029112081, \"support_rank\": 48}, {\"value_label\": \"84\", \"support\": 59, \"support_share\": 0.005367540029112081, \"support_rank\": 49}, {\"value_label\": \"21\", \"support\": 56, \"support_share\": 0.005094614264919942, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..80cb315bb2b90f984275d72649ab038b96285f52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.846266+00:00", + "ended_at": "2026-05-19T16:10:15.851519+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_b84da52a29d01370", + "problem_id": "v2p_n9_eab9655253da74ea", + "dataset_id": "n9", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=feature_16.", + "bindings": { + "group_col": "feature_16" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_b84da52a29d01370.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b84da52a29d01370/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..93247f8a58972fb9d4dfdcef55af34efb704f17f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:49.850559+00:00", + "ended_at": "2026-05-19T15:54:52.663835+00:00", + "elapsed_ms": 2813.25, + "returncode": 1, + "prompt_metrics": { + "chars": 9568, + "bytes_utf8": 9568, + "lines": 300, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6f664b041c6acde6ee0783214930556ca3c6127d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/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": "2026-05-19T15:54:53.665454+00:00", + "ended_at": "2026-05-19T15:54:56.684205+00:00", + "elapsed_ms": 3018.72, + "returncode": 1, + "prompt_metrics": { + "chars": 9568, + "bytes_utf8": 9568, + "lines": 300, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..241e1de2701540a7cc6a7b495d3692bd0ee15e8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_4, measure_col=feature_9.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_9", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..241e1de2701540a7cc6a7b495d3692bd0ee15e8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_4, measure_col=feature_9.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_9", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4b584029ac7749db26f30e7426001207c0102d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-6d9b-7ff2-bd56-1436d9ccad32"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f69396e7a5d732a3d596ea8b49f1b4202dbacc8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-6d9b-7ff2-bd56-1436d9ccad32"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..112be1bbc119d6f8a67b6f07189b3fa47ef2f4bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-7c5b-7d73-97e8-c86394d0023f"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..31899f7a879c46fdf0f31b185e7d6abdb35a9abe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-7c5b-7d73-97e8-c86394d0023f"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_b890b34e16713778/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b43470137e9f2650a183e76b92a7efe606e9c0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_11, measure_col=feature_12. +Result preview: [{"feature_11": "49", "feature_13": "100", "total_measure": 773.0, "share_within_group": 48.403256105197244}, {"feature_11": "44", "feature_13": "100", "total_measure": 483.0, "share_within_group": 42.331288343558285}, {"feature_11": "50", "feature_13": "100", "total_measure": 636.0, "share_within_group": 41.298701298701296}, {"feature_11": "54", "feature_13": "100", "total_measure": 580.0, "share_within_group": 40.305767894371094}, {"feature_11": "30", "feature_13": "65", "total_measure": 335.0, "share_within_group": 35.33755274261603}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..338886e804e52a06b2fdf3bb313ea75295c5eb1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_bd47bbbc13b96c1a +-- problem_id: v2p_n9_c68367ca9930b295 +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_11", + "feature_13", + SUM(CAST("feature_12" AS REAL)) AS total_measure, + SUM(CAST("feature_12" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_12" AS REAL))) OVER (PARTITION BY "feature_11") AS share_within_group +FROM "n9" +GROUP BY "feature_11", "feature_13" +ORDER BY share_within_group DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8fd9f9f6fb10e4abed7395b25b1ba06d1eb1d97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/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_tpcds_within_group_share\nSELECT\n \"feature_11\",\n \"feature_13\",\n SUM(CAST(\"feature_12\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_12\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_12\" AS REAL))) OVER (PARTITION BY \"feature_11\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_11\", \"feature_13\"\nORDER BY share_within_group DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_11\\\",\\n \\\"feature_13\\\",\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_12\\\" AS REAL))) OVER (PARTITION BY \\\"feature_11\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_11\\\", \\\"feature_13\\\"\\nORDER BY share_within_group DESC\\nLIMIT 12;\", \"columns\": [\"feature_11\", \"feature_13\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_11\": \"49\", \"feature_13\": \"100\", \"total_measure\": 773.0, \"share_within_group\": 48.403256105197244}, {\"feature_11\": \"44\", \"feature_13\": \"100\", \"total_measure\": 483.0, \"share_within_group\": 42.331288343558285}, {\"feature_11\": \"50\", \"feature_13\": \"100\", \"total_measure\": 636.0, \"share_within_group\": 41.298701298701296}, {\"feature_11\": \"54\", \"feature_13\": \"100\", \"total_measure\": 580.0, \"share_within_group\": 40.305767894371094}, {\"feature_11\": \"30\", \"feature_13\": \"65\", \"total_measure\": 335.0, \"share_within_group\": 35.33755274261603}, {\"feature_11\": \"45\", \"feature_13\": \"100\", \"total_measure\": 417.0, \"share_within_group\": 30.043227665706052}, {\"feature_11\": \"53\", \"feature_13\": \"100\", \"total_measure\": 697.0, \"share_within_group\": 28.059581320450885}, {\"feature_11\": \"42\", \"feature_13\": \"100\", \"total_measure\": 328.0, \"share_within_group\": 26.34538152610442}, {\"feature_11\": \"56\", \"feature_13\": \"100\", \"total_measure\": 457.0, \"share_within_group\": 25.05482456140351}, {\"feature_11\": \"51\", \"feature_13\": \"100\", \"total_measure\": 405.0, \"share_within_group\": 24.877149877149876}, {\"feature_11\": \"39\", \"feature_13\": \"100\", \"total_measure\": 180.0, \"share_within_group\": 24.82758620689655}, {\"feature_11\": \"52\", \"feature_13\": \"100\", \"total_measure\": 339.0, \"share_within_group\": 23.029891304347824}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 16.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7ee2657eb47a3bc51583177751b65942dcf9c3b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:35:58.404320+00:00", + "ended_at": "2026-05-19T15:36:11.573225+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_bd47bbbc13b96c1a", + "problem_id": "v2p_n9_c68367ca9930b295", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_11, measure_col=feature_12.", + "bindings": { + "group_col": "feature_11", + "measure_col": "feature_12", + "item_col": "feature_13", + "top_k": 12, + "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": 55.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_bd47bbbc13b96c1a.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bd47bbbc13b96c1a", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 701, + "total_tokens": 15760, + "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": 13148.9, + "sql_execution_elapsed_ms_total": 16.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d9641611b8d4f467fa2d774d3ea3361b69e5840b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:11.555432+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13148.9, "started_at": "2026-05-19T15:35:58.405629+00:00", "ended_at": "2026-05-19T15:36:11.554552+00:00", "prompt_metrics": {"chars": 9800, "bytes_utf8": 9800, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 625, "bytes_utf8": 625, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 13696, "output_tokens": 701, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_11\\\",\\n \\\"feature_13\\\",\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_12\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_12\\\" AS REAL))) OVER (PARTITION BY \\\"feature_11\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_11\\\", \\\"feature_13\\\"\\nORDER BY share_within_group DESC\\nLIMIT 12;\",\"notes\":\"Used the planned Within-Group Share of Total template with bound roles: group_col=\\\"feature_11\\\", item_col=\\\"feature_13\\\", measure_col=\\\"feature_12\\\". CAST is applied because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..946f1df411e6f0c65719bc0f0ca01db6a92c2ae7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bd47bbbc13b96c1a", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 13696, + "output_tokens": 701, + "total_tokens": 15760, + "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": 13148.9, + "sql_execution_elapsed_ms_total": 16.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bd47bbbc13b96c1a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a3b76a3d01c38a76feee98088525ee5bc75dceb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "100", "support": 3115, "support_share": 0.2833879184861718, "cumulative_support": 3115}, {"value_label": "90", "support": 261, "support_share": 0.023744541484716157, "cumulative_support": 3376}, {"value_label": "91", "support": 259, "support_share": 0.02356259097525473, "cumulative_support": 3635}, {"value_label": "88", "support": 254, "support_share": 0.023107714701601164, "cumulative_support": 3889}, {"value_label": "96", "support": 247, "support_share": 0.02247088791848617, "cumulative_support": 4136}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5c3685505604f95c4c2a54f389c61fb02463b04a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n9_be1ab57c80f13a2a +-- problem_id: v2p_n9_ed51d6f34721a2ac +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_2" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_2" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c86bff7276912b804db05f7e6917a3c48d121ae9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n9_be1ab57c80f13a2a\n-- problem_id: v2p_n9_ed51d6f34721a2ac\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_2\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_2\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n9_be1ab57c80f13a2a\\n-- problem_id: v2p_n9_ed51d6f34721a2ac\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_2\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_2\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"100\", \"support\": 3115, \"support_share\": 0.2833879184861718, \"cumulative_support\": 3115}, {\"value_label\": \"90\", \"support\": 261, \"support_share\": 0.023744541484716157, \"cumulative_support\": 3376}, {\"value_label\": \"91\", \"support\": 259, \"support_share\": 0.02356259097525473, \"cumulative_support\": 3635}, {\"value_label\": \"88\", \"support\": 254, \"support_share\": 0.023107714701601164, \"cumulative_support\": 3889}, {\"value_label\": \"96\", \"support\": 247, \"support_share\": 0.02247088791848617, \"cumulative_support\": 4136}, {\"value_label\": \"85\", \"support\": 245, \"support_share\": 0.022288937409024746, \"cumulative_support\": 4381}, {\"value_label\": \"93\", \"support\": 245, \"support_share\": 0.022288937409024746, \"cumulative_support\": 4626}, {\"value_label\": \"89\", \"support\": 244, \"support_share\": 0.02219796215429403, \"cumulative_support\": 4870}, {\"value_label\": \"94\", \"support\": 242, \"support_share\": 0.022016011644832606, \"cumulative_support\": 5112}, {\"value_label\": \"82\", \"support\": 236, \"support_share\": 0.021470160116448325, \"cumulative_support\": 5348}, {\"value_label\": \"92\", \"support\": 235, \"support_share\": 0.021379184861717613, \"cumulative_support\": 5583}, {\"value_label\": \"95\", \"support\": 234, \"support_share\": 0.0212882096069869, \"cumulative_support\": 5817}, {\"value_label\": \"86\", \"support\": 232, \"support_share\": 0.021106259097525473, \"cumulative_support\": 6049}, {\"value_label\": \"87\", \"support\": 221, \"support_share\": 0.020105531295487627, \"cumulative_support\": 6270}, {\"value_label\": \"97\", \"support\": 217, \"support_share\": 0.019741630276564774, \"cumulative_support\": 6487}, {\"value_label\": \"81\", \"support\": 216, \"support_share\": 0.019650655021834062, \"cumulative_support\": 6703}, {\"value_label\": \"83\", \"support\": 213, \"support_share\": 0.01937772925764192, \"cumulative_support\": 6916}, {\"value_label\": \"84\", \"support\": 205, \"support_share\": 0.018649927219796216, \"cumulative_support\": 7121}, {\"value_label\": \"98\", \"support\": 203, \"support_share\": 0.018467976710334788, \"cumulative_support\": 7324}, {\"value_label\": \"78\", \"support\": 200, \"support_share\": 0.018195050946142648, \"cumulative_support\": 7524}, {\"value_label\": \"80\", \"support\": 200, \"support_share\": 0.018195050946142648, \"cumulative_support\": 7724}, {\"value_label\": \"77\", \"support\": 175, \"support_share\": 0.01592066957787482, \"cumulative_support\": 7899}, {\"value_label\": \"76\", \"support\": 172, \"support_share\": 0.01564774381368268, \"cumulative_support\": 8071}, {\"value_label\": \"99\", \"support\": 172, \"support_share\": 0.01564774381368268, \"cumulative_support\": 8243}, {\"value_label\": \"79\", \"support\": 167, \"support_share\": 0.015192867540029112, \"cumulative_support\": 8410}, {\"value_label\": \"73\", \"support\": 163, \"support_share\": 0.01482896652110626, \"cumulative_support\": 8573}, {\"value_label\": \"75\", \"support\": 161, \"support_share\": 0.014647016011644833, \"cumulative_support\": 8734}, {\"value_label\": \"74\", \"support\": 140, \"support_share\": 0.012736535662299854, \"cumulative_support\": 8874}, {\"value_label\": \"71\", \"support\": 134, \"support_share\": 0.012190684133915575, \"cumulative_support\": 9008}, {\"value_label\": \"72\", \"support\": 134, \"support_share\": 0.012190684133915575, \"cumulative_support\": 9142}, {\"value_label\": \"70\", \"support\": 118, \"support_share\": 0.010735080058224163, \"cumulative_support\": 9260}, {\"value_label\": \"67\", \"support\": 117, \"support_share\": 0.01064410480349345, \"cumulative_support\": 9377}, {\"value_label\": \"69\", \"support\": 115, \"support_share\": 0.010462154294032024, \"cumulative_support\": 9492}, {\"value_label\": \"66\", \"support\": 114, \"support_share\": 0.01037117903930131, \"cumulative_support\": 9606}, {\"value_label\": \"68\", \"support\": 108, \"support_share\": 0.009825327510917031, \"cumulative_support\": 9714}, {\"value_label\": \"65\", \"support\": 101, \"support_share\": 0.009188500727802038, \"cumulative_support\": 9815}, {\"value_label\": \"63\", \"support\": 97, \"support_share\": 0.008824599708879185, \"cumulative_support\": 9912}, {\"value_label\": \"64\", \"support\": 97, \"support_share\": 0.008824599708879185, \"cumulative_support\": 10009}, {\"value_label\": \"61\", \"support\": 69, \"support_share\": 0.006277292576419214, \"cumulative_support\": 10078}, {\"value_label\": \"62\", \"support\": 69, \"support_share\": 0.006277292576419214, \"cumulative_support\": 10147}, {\"value_label\": \"60\", \"support\": 61, \"support_share\": 0.005549490538573508, \"cumulative_support\": 10208}, {\"value_label\": \"55\", \"support\": 55, \"support_share\": 0.005003639010189229, \"cumulative_support\": 10263}, {\"value_label\": \"59\", \"support\": 52, \"support_share\": 0.004730713245997089, \"cumulative_support\": 10315}, {\"value_label\": \"58\", \"support\": 46, \"support_share\": 0.004184861717612809, \"cumulative_support\": 10361}, {\"value_label\": \"57\", \"support\": 44, \"support_share\": 0.004002911208151383, \"cumulative_support\": 10405}, {\"value_label\": \"54\", \"support\": 43, \"support_share\": 0.00391193595342067, \"cumulative_support\": 10448}, {\"value_label\": \"56\", \"support\": 42, \"support_share\": 0.003820960698689956, \"cumulative_support\": 10490}, {\"value_label\": \"53\", \"support\": 35, \"support_share\": 0.0031841339155749635, \"cumulative_support\": 10525}, {\"value_label\": \"52\", \"support\": 34, \"support_share\": 0.0030931586608442503, \"cumulative_support\": 10559}, {\"value_label\": \"51\", \"support\": 28, \"support_share\": 0.002547307132459971, \"cumulative_support\": 10587}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..03a031ae0432924b22901222528b5a3acadeacf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.718166+00:00", + "ended_at": "2026-05-19T16:10:15.723524+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_be1ab57c80f13a2a", + "problem_id": "v2p_n9_ed51d6f34721a2ac", + "dataset_id": "n9", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2.", + "bindings": { + "group_col": "feature_2" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_be1ab57c80f13a2a.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_be1ab57c80f13a2a/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..73437ad46406d5ed61c321ec3ddcdfce01d5f7f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_8, measure_col=feature_8. +Result preview: [{"feature_8": "100", "total_measure": 72800}, {"feature_8": "60", "total_measure": 8700}, {"feature_8": "62", "total_measure": 8432}, {"feature_8": "58", "total_measure": 8410}, {"feature_8": "66", "total_measure": 8052}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dbcf903afa70dad92cfbef2281c8fee9040bc443 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_bea6c4bb7fa71d20 +-- problem_id: v2p_n9_1099886d4a54da63 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_8", SUM(CAST("feature_8" AS NUMERIC)) AS "total_measure" +FROM "n9" +GROUP BY "feature_8" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ba4a3ab4f964d69bf13ce48a0b72a12e37495507 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/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_h2o_group_sum\nSELECT \"feature_8\", SUM(CAST(\"feature_8\" AS NUMERIC)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_8\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_8\\\", SUM(CAST(\\\"feature_8\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"feature_8\", \"total_measure\"], \"rows\": [{\"feature_8\": \"100\", \"total_measure\": 72800}, {\"feature_8\": \"60\", \"total_measure\": 8700}, {\"feature_8\": \"62\", \"total_measure\": 8432}, {\"feature_8\": \"58\", \"total_measure\": 8410}, {\"feature_8\": \"66\", \"total_measure\": 8052}, {\"feature_8\": \"61\", \"total_measure\": 8052}, {\"feature_8\": \"63\", \"total_measure\": 8001}, {\"feature_8\": \"55\", \"total_measure\": 7920}, {\"feature_8\": \"64\", \"total_measure\": 7744}, {\"feature_8\": \"52\", \"total_measure\": 7592}, {\"feature_8\": \"53\", \"total_measure\": 7526}, {\"feature_8\": \"57\", \"total_measure\": 7467}, {\"feature_8\": \"43\", \"total_measure\": 7439}, {\"feature_8\": \"50\", \"total_measure\": 7100}, {\"feature_8\": \"40\", \"total_measure\": 7040}, {\"feature_8\": \"59\", \"total_measure\": 6903}, {\"feature_8\": \"39\", \"total_measure\": 6825}, {\"feature_8\": \"51\", \"total_measure\": 6579}, {\"feature_8\": \"80\", \"total_measure\": 6480}, {\"feature_8\": \"65\", \"total_measure\": 6435}, {\"feature_8\": \"35\", \"total_measure\": 6405}, {\"feature_8\": \"56\", \"total_measure\": 6384}, {\"feature_8\": \"38\", \"total_measure\": 6346}, {\"feature_8\": \"67\", \"total_measure\": 6298}, {\"feature_8\": \"48\", \"total_measure\": 6144}, {\"feature_8\": \"36\", \"total_measure\": 6084}, {\"feature_8\": \"34\", \"total_measure\": 6018}, {\"feature_8\": \"54\", \"total_measure\": 5994}, {\"feature_8\": \"42\", \"total_measure\": 5964}, {\"feature_8\": \"47\", \"total_measure\": 5687}, {\"feature_8\": \"41\", \"total_measure\": 5658}, {\"feature_8\": \"68\", \"total_measure\": 5644}, {\"feature_8\": \"37\", \"total_measure\": 5624}, {\"feature_8\": \"44\", \"total_measure\": 5368}, {\"feature_8\": \"45\", \"total_measure\": 5355}, {\"feature_8\": \"46\", \"total_measure\": 5290}, {\"feature_8\": \"33\", \"total_measure\": 5247}, {\"feature_8\": \"85\", \"total_measure\": 5185}, {\"feature_8\": \"69\", \"total_measure\": 4968}, {\"feature_8\": \"92\", \"total_measure\": 4876}, {\"feature_8\": \"72\", \"total_measure\": 4824}, {\"feature_8\": \"73\", \"total_measure\": 4818}, {\"feature_8\": \"70\", \"total_measure\": 4760}, {\"feature_8\": \"71\", \"total_measure\": 4757}, {\"feature_8\": \"82\", \"total_measure\": 4674}, {\"feature_8\": \"98\", \"total_measure\": 4606}, {\"feature_8\": \"31\", \"total_measure\": 4557}, {\"feature_8\": \"90\", \"total_measure\": 4500}, {\"feature_8\": \"32\", \"total_measure\": 4480}, {\"feature_8\": \"94\", \"total_measure\": 4418}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.89}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..792d380a92a432c9d0842c0745a019b2ace50fae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:31:16.191812+00:00", + "ended_at": "2026-05-19T15:31:25.520171+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_bea6c4bb7fa71d20", + "problem_id": "v2p_n9_1099886d4a54da63", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_8, measure_col=feature_8.", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_8", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 57.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_bea6c4bb7fa71d20.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bea6c4bb7fa71d20", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 334, + "total_tokens": 15274, + "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": 9311.77, + "sql_execution_elapsed_ms_total": 9.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c34c8dea89689ce0ec1a312d4c3a6b1f5eb3f05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:25.507849+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9311.77, "started_at": "2026-05-19T15:31:16.194714+00:00", "ended_at": "2026-05-19T15:31:25.506531+00:00", "prompt_metrics": {"chars": 9391, "bytes_utf8": 9391, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 381, "bytes_utf8": 381, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 334, "reasoning_output_tokens": 227}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_8\\\", SUM(CAST(\\\"feature_8\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col and measure_col both bound to \\\"feature_8\\\". CAST to NUMERIC is included because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7d4a5cff8f4c543bfdf3cb11628affff611d0e2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bea6c4bb7fa71d20", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 334, + "total_tokens": 15274, + "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": 9311.77, + "sql_execution_elapsed_ms_total": 9.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bea6c4bb7fa71d20/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9e4d2d365906fc79027efc73bf4402b9768613d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_5, measure_col=feature_10. +Result preview: [{"feature_5": "66", "percentile_measure": 87.1}, {"feature_5": "31", "percentile_measure": 86.0}, {"feature_5": "49", "percentile_measure": 85.99999999999994}, {"feature_5": "21", "percentile_measure": 85.95}, {"feature_5": "27", "percentile_measure": 85.8}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..05588908563a396c7680acc6ba847eb712ae5f29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/generated_sql.sql @@ -0,0 +1,59 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_bf3884ef1ab0617a +-- problem_id: v2p_n9_6cbcdd48dfecd17b +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "feature_5" AS "group_col", + CAST("feature_10" AS REAL) AS "measure_col", + ROW_NUMBER() OVER ( + PARTITION BY "feature_5" + ORDER BY CAST("feature_10" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "feature_5" + ) AS "cnt" + FROM "n9" + WHERE "feature_5" IS NOT NULL + AND "feature_10" IS NOT NULL +), +"percentile_prep" AS ( + SELECT + "group_col", + "measure_col", + "rn", + "cnt", + (0.95 * ("cnt" - 1)) + 1.0 AS "pos", + CAST((0.95 * ("cnt" - 1)) + 1.0 AS INTEGER) AS "lower_rn", + CASE + WHEN ((0.95 * ("cnt" - 1)) + 1.0) = CAST((0.95 * ("cnt" - 1)) + 1.0 AS INTEGER) + THEN CAST((0.95 * ("cnt" - 1)) + 1.0 AS INTEGER) + ELSE CAST((0.95 * ("cnt" - 1)) + 1.0 AS INTEGER) + 1 + END AS "upper_rn" + FROM "ordered" + WHERE "cnt" >= 5 +) +SELECT + "group_col" AS "feature_5", + CASE + WHEN MAX("lower_rn") = MAX("upper_rn") THEN + MAX(CASE WHEN "rn" = "lower_rn" THEN "measure_col" END) + ELSE + MAX(CASE WHEN "rn" = "lower_rn" THEN "measure_col" END) + + (MAX("pos") - MAX("lower_rn")) * ( + MAX(CASE WHEN "rn" = "upper_rn" THEN "measure_col" END) - + MAX(CASE WHEN "rn" = "lower_rn" THEN "measure_col" END) + ) + END AS "percentile_measure" +FROM "percentile_prep" +GROUP BY "group_col" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17df0b588dfeeb64354ff6c90f3719a8f4c2422c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/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_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_5\" AS \"group_col\",\n CAST(\"feature_10\" AS REAL) AS \"measure_col\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_5\"\n ORDER BY CAST(\"feature_10\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_5\"\n ) AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_5\" IS NOT NULL\n AND \"feature_10\" IS NOT NULL\n),\n\"percentile_prep\" AS (\n SELECT\n \"group_col\",\n \"measure_col\",\n \"rn\",\n \"cnt\",\n (0.95 * (\"cnt\" - 1)) + 1.0 AS \"pos\",\n CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ((0.95 * (\"cnt\" - 1)) + 1.0) = CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INTEGER)\n THEN CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INTEGER)\n ELSE CAST((0.95 * (\"cnt\" - 1)) + 1.0 AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"group_col\" AS \"feature_5\",\n CASE\n WHEN MAX(\"lower_rn\") = MAX(\"upper_rn\") THEN\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"measure_col\" END)\n ELSE\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"measure_col\" END) +\n (MAX(\"pos\") - MAX(\"lower_rn\")) * (\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"measure_col\" END) -\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"measure_col\" END)\n )\n END AS \"percentile_measure\"\nFROM \"percentile_prep\"\nGROUP BY \"group_col\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_5\\\" AS \\\"group_col\\\",\\n CAST(\\\"feature_10\\\" AS REAL) AS \\\"measure_col\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_5\\\"\\n ORDER BY CAST(\\\"feature_10\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_5\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_5\\\" IS NOT NULL\\n AND \\\"feature_10\\\" IS NOT NULL\\n),\\n\\\"percentile_prep\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_col\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) = CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER)\\n THEN CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER)\\n ELSE CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"feature_5\\\",\\n CASE\\n WHEN MAX(\\\"lower_rn\\\") = MAX(\\\"upper_rn\\\") THEN\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"measure_col\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"measure_col\\\" END) +\\n (MAX(\\\"pos\\\") - MAX(\\\"lower_rn\\\")) * (\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"measure_col\\\" END) -\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"measure_col\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_prep\\\"\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"feature_5\", \"percentile_measure\"], \"rows\": [{\"feature_5\": \"66\", \"percentile_measure\": 87.1}, {\"feature_5\": \"31\", \"percentile_measure\": 86.0}, {\"feature_5\": \"49\", \"percentile_measure\": 85.99999999999994}, {\"feature_5\": \"21\", \"percentile_measure\": 85.95}, {\"feature_5\": \"27\", \"percentile_measure\": 85.8}, {\"feature_5\": \"26\", \"percentile_measure\": 85.8}, {\"feature_5\": \"61\", \"percentile_measure\": 85.19999999999997}, {\"feature_5\": \"0\", \"percentile_measure\": 85.0}, {\"feature_5\": \"73\", \"percentile_measure\": 84.5}, {\"feature_5\": \"64\", \"percentile_measure\": 84.35}, {\"feature_5\": \"6\", \"percentile_measure\": 84.19999999999999}, {\"feature_5\": \"52\", \"percentile_measure\": 83.8}, {\"feature_5\": \"32\", \"percentile_measure\": 83.6}, {\"feature_5\": \"39\", \"percentile_measure\": 83.5}, {\"feature_5\": \"50\", \"percentile_measure\": 83.44999999999996}, {\"feature_5\": \"29\", \"percentile_measure\": 82.69999999999999}, {\"feature_5\": \"11\", \"percentile_measure\": 82.6}, {\"feature_5\": \"22\", \"percentile_measure\": 82.54999999999998}, {\"feature_5\": \"15\", \"percentile_measure\": 82.35000000000001}, {\"feature_5\": \"67\", \"percentile_measure\": 82.35}, {\"feature_5\": \"59\", \"percentile_measure\": 82.0}, {\"feature_5\": \"63\", \"percentile_measure\": 81.94999999999999}, {\"feature_5\": \"48\", \"percentile_measure\": 81.7}, {\"feature_5\": \"16\", \"percentile_measure\": 81.29999999999998}, {\"feature_5\": \"9\", \"percentile_measure\": 81.0}, {\"feature_5\": \"58\", \"percentile_measure\": 81.0}, {\"feature_5\": \"54\", \"percentile_measure\": 81.0}, {\"feature_5\": \"17\", \"percentile_measure\": 80.89999999999995}, {\"feature_5\": \"38\", \"percentile_measure\": 80.79999999999998}, {\"feature_5\": \"37\", \"percentile_measure\": 80.79999999999998}, {\"feature_5\": \"8\", \"percentile_measure\": 80.35000000000001}, {\"feature_5\": \"87\", \"percentile_measure\": 80.0}, {\"feature_5\": \"71\", \"percentile_measure\": 80.0}, {\"feature_5\": \"69\", \"percentile_measure\": 80.0}, {\"feature_5\": \"51\", \"percentile_measure\": 80.0}, {\"feature_5\": \"42\", \"percentile_measure\": 80.0}, {\"feature_5\": \"43\", \"percentile_measure\": 79.79999999999998}, {\"feature_5\": \"35\", \"percentile_measure\": 79.75}, {\"feature_5\": \"62\", \"percentile_measure\": 79.69999999999999}, {\"feature_5\": \"68\", \"percentile_measure\": 79.55}, {\"feature_5\": \"41\", \"percentile_measure\": 79.19999999999999}, {\"feature_5\": \"40\", \"percentile_measure\": 79.14999999999999}, {\"feature_5\": \"25\", \"percentile_measure\": 79.14999999999999}, {\"feature_5\": \"65\", \"percentile_measure\": 79.0}, {\"feature_5\": \"57\", \"percentile_measure\": 78.94999999999999}, {\"feature_5\": \"28\", \"percentile_measure\": 78.69999999999999}, {\"feature_5\": \"53\", \"percentile_measure\": 78.4}, {\"feature_5\": \"60\", \"percentile_measure\": 78.19999999999999}, {\"feature_5\": \"99\", \"percentile_measure\": 78.1}, {\"feature_5\": \"23\", \"percentile_measure\": 78.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 47.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..910359bd6e219f98a05bd246f303dfc500fa0074 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:55:13.358785+00:00", + "ended_at": "2026-05-19T15:55:51.834656+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_bf3884ef1ab0617a", + "problem_id": "v2p_n9_6cbcdd48dfecd17b", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_5, measure_col=feature_10.", + "bindings": { + "group_col": "feature_5", + "measure_col": "feature_10", + "top_k": 19, + "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": 45.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_bf3884ef1ab0617a.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bf3884ef1ab0617a", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 2662, + "total_tokens": 17640, + "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": 38423.64, + "sql_execution_elapsed_ms_total": 47.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea8a5cc1abd61c7c023b575449e45be0853f7701 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:55:51.784825+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 38423.64, "started_at": "2026-05-19T15:55:13.360124+00:00", "ended_at": "2026-05-19T15:55:51.783787+00:00", "prompt_metrics": {"chars": 9572, "bytes_utf8": 9572, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1748, "bytes_utf8": 1748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 12032, "output_tokens": 2662, "reasoning_output_tokens": 2070}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_5\\\" AS \\\"group_col\\\",\\n CAST(\\\"feature_10\\\" AS REAL) AS \\\"measure_col\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_5\\\"\\n ORDER BY CAST(\\\"feature_10\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_5\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_5\\\" IS NOT NULL\\n AND \\\"feature_10\\\" IS NOT NULL\\n),\\n\\\"percentile_prep\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure_col\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) = CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER)\\n THEN CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER)\\n ELSE CAST((0.95 * (\\\"cnt\\\" - 1)) + 1.0 AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"group_col\\\" A"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a5cd9b14bae46b3f6b00b214f2732ff3e8036046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bf3884ef1ab0617a", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 12032, + "output_tokens": 2662, + "total_tokens": 17640, + "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": 38423.64, + "sql_execution_elapsed_ms_total": 47.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf3884ef1ab0617a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..18f91eeae2e5692a7e1fe447bdb1774680a53e68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_4, measure_col=feature_4. +Result preview: [{"feature_4": "100", "total_measure": 438700.0}, {"feature_4": "99", "total_measure": 16038.0}, {"feature_4": "98", "total_measure": 14994.0}, {"feature_4": "81", "total_measure": 13851.0}, {"feature_4": "78", "total_measure": 13416.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b1196acf4a1a709715ebce3398d7becf273ad45e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_bf7c17439abc0503 +-- problem_id: v2p_n9_e3cc197b4e8de94f +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_4", SUM(CAST("feature_4" AS REAL)) AS total_measure +FROM "n9" +GROUP BY "feature_4" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fd04f06e83dbbfe4c2b39ce91014881bf3835c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/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_h2o_group_sum\nSELECT \"feature_4\", SUM(CAST(\"feature_4\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_4\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_4\\\", SUM(CAST(\\\"feature_4\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_4\", \"total_measure\"], \"rows\": [{\"feature_4\": \"100\", \"total_measure\": 438700.0}, {\"feature_4\": \"99\", \"total_measure\": 16038.0}, {\"feature_4\": \"98\", \"total_measure\": 14994.0}, {\"feature_4\": \"81\", \"total_measure\": 13851.0}, {\"feature_4\": \"78\", \"total_measure\": 13416.0}, {\"feature_4\": \"80\", \"total_measure\": 13360.0}, {\"feature_4\": \"82\", \"total_measure\": 13202.0}, {\"feature_4\": \"79\", \"total_measure\": 13193.0}, {\"feature_4\": \"97\", \"total_measure\": 13192.0}, {\"feature_4\": \"77\", \"total_measure\": 13167.0}, {\"feature_4\": \"83\", \"total_measure\": 13114.0}, {\"feature_4\": \"75\", \"total_measure\": 12975.0}, {\"feature_4\": \"84\", \"total_measure\": 12348.0}, {\"feature_4\": \"76\", \"total_measure\": 12160.0}, {\"feature_4\": \"96\", \"total_measure\": 12096.0}, {\"feature_4\": \"90\", \"total_measure\": 12060.0}, {\"feature_4\": \"92\", \"total_measure\": 11316.0}, {\"feature_4\": \"85\", \"total_measure\": 10965.0}, {\"feature_4\": \"86\", \"total_measure\": 10836.0}, {\"feature_4\": \"74\", \"total_measure\": 10804.0}, {\"feature_4\": \"87\", \"total_measure\": 10527.0}, {\"feature_4\": \"91\", \"total_measure\": 10465.0}, {\"feature_4\": \"73\", \"total_measure\": 10439.0}, {\"feature_4\": \"93\", \"total_measure\": 10416.0}, {\"feature_4\": \"95\", \"total_measure\": 10260.0}, {\"feature_4\": \"94\", \"total_measure\": 9588.0}, {\"feature_4\": \"71\", \"total_measure\": 9585.0}, {\"feature_4\": \"89\", \"total_measure\": 9434.0}, {\"feature_4\": \"70\", \"total_measure\": 9100.0}, {\"feature_4\": \"88\", \"total_measure\": 8712.0}, {\"feature_4\": \"72\", \"total_measure\": 8712.0}, {\"feature_4\": \"68\", \"total_measure\": 8636.0}, {\"feature_4\": \"69\", \"total_measure\": 8556.0}, {\"feature_4\": \"64\", \"total_measure\": 7488.0}, {\"feature_4\": \"66\", \"total_measure\": 7392.0}, {\"feature_4\": \"62\", \"total_measure\": 6758.0}, {\"feature_4\": \"63\", \"total_measure\": 6615.0}, {\"feature_4\": \"67\", \"total_measure\": 6499.0}, {\"feature_4\": \"65\", \"total_measure\": 6305.0}, {\"feature_4\": \"61\", \"total_measure\": 6222.0}, {\"feature_4\": \"60\", \"total_measure\": 6060.0}, {\"feature_4\": \"58\", \"total_measure\": 5162.0}, {\"feature_4\": \"59\", \"total_measure\": 5074.0}, {\"feature_4\": \"55\", \"total_measure\": 5060.0}, {\"feature_4\": \"57\", \"total_measure\": 4560.0}, {\"feature_4\": \"54\", \"total_measure\": 3834.0}, {\"feature_4\": \"56\", \"total_measure\": 3808.0}, {\"feature_4\": \"50\", \"total_measure\": 3000.0}, {\"feature_4\": \"52\", \"total_measure\": 2808.0}, {\"feature_4\": \"53\", \"total_measure\": 2491.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..79031d767b98af2e2cdf4866dc9c2ee4cdc197a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:29:21.118251+00:00", + "ended_at": "2026-05-19T15:29:31.993500+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_bf7c17439abc0503", + "problem_id": "v2p_n9_e3cc197b4e8de94f", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_4, measure_col=feature_4.", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_4", + "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": 100.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_bf7c17439abc0503.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bf7c17439abc0503", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 0, + "output_tokens": 376, + "total_tokens": 15316, + "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": 10867.16, + "sql_execution_elapsed_ms_total": 4.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f0963117ae483775d67995be3b7b44a2a639fc0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:31.987331+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10867.16, "started_at": "2026-05-19T15:29:21.119336+00:00", "ended_at": "2026-05-19T15:29:31.986525+00:00", "prompt_metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 0, "output_tokens": 376, "reasoning_output_tokens": 270}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_4\\\", SUM(CAST(\\\"feature_4\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied tpl_h2o_group_sum with group_col=\\\"feature_4\\\" and measure_col=\\\"feature_4\\\". CAST is used because the schema stores this numeric-discrete field as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..721f8ea744422d2be6f8ad17b029e90528ebaa9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_bf7c17439abc0503", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 0, + "output_tokens": 376, + "total_tokens": 15316, + "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": 10867.16, + "sql_execution_elapsed_ms_total": 4.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_bf7c17439abc0503/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d5bc44a88598c3c33eab0d717574fe5162efeea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_4, measure_col=feature_4. +Result preview: [{"feature_4": "100", "total_measure": 438700}, {"feature_4": "99", "total_measure": 16038}, {"feature_4": "98", "total_measure": 14994}, {"feature_4": "81", "total_measure": 13851}, {"feature_4": "78", "total_measure": 13416}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2ccf5cf4a649726d5f0e7c2e019b2885e8be7f25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_c429c829ba4276ee +-- problem_id: v2p_n9_47617819d122ce03 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_4", SUM(CAST("feature_4" AS INTEGER)) AS "total_measure" +FROM "n9" +GROUP BY "feature_4" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f7ddb4caa31f0bca8099f02094b5a1d142980b96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/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_h2o_group_sum\nSELECT \"feature_4\", SUM(CAST(\"feature_4\" AS INTEGER)) AS \"total_measure\"\nFROM \"n9\"\nGROUP BY \"feature_4\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_4\\\", SUM(CAST(\\\"feature_4\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"feature_4\", \"total_measure\"], \"rows\": [{\"feature_4\": \"100\", \"total_measure\": 438700}, {\"feature_4\": \"99\", \"total_measure\": 16038}, {\"feature_4\": \"98\", \"total_measure\": 14994}, {\"feature_4\": \"81\", \"total_measure\": 13851}, {\"feature_4\": \"78\", \"total_measure\": 13416}, {\"feature_4\": \"80\", \"total_measure\": 13360}, {\"feature_4\": \"82\", \"total_measure\": 13202}, {\"feature_4\": \"79\", \"total_measure\": 13193}, {\"feature_4\": \"97\", \"total_measure\": 13192}, {\"feature_4\": \"77\", \"total_measure\": 13167}, {\"feature_4\": \"83\", \"total_measure\": 13114}, {\"feature_4\": \"75\", \"total_measure\": 12975}, {\"feature_4\": \"84\", \"total_measure\": 12348}, {\"feature_4\": \"76\", \"total_measure\": 12160}, {\"feature_4\": \"96\", \"total_measure\": 12096}, {\"feature_4\": \"90\", \"total_measure\": 12060}, {\"feature_4\": \"92\", \"total_measure\": 11316}, {\"feature_4\": \"85\", \"total_measure\": 10965}, {\"feature_4\": \"86\", \"total_measure\": 10836}, {\"feature_4\": \"74\", \"total_measure\": 10804}, {\"feature_4\": \"87\", \"total_measure\": 10527}, {\"feature_4\": \"91\", \"total_measure\": 10465}, {\"feature_4\": \"73\", \"total_measure\": 10439}, {\"feature_4\": \"93\", \"total_measure\": 10416}, {\"feature_4\": \"95\", \"total_measure\": 10260}, {\"feature_4\": \"94\", \"total_measure\": 9588}, {\"feature_4\": \"71\", \"total_measure\": 9585}, {\"feature_4\": \"89\", \"total_measure\": 9434}, {\"feature_4\": \"70\", \"total_measure\": 9100}, {\"feature_4\": \"88\", \"total_measure\": 8712}, {\"feature_4\": \"72\", \"total_measure\": 8712}, {\"feature_4\": \"68\", \"total_measure\": 8636}, {\"feature_4\": \"69\", \"total_measure\": 8556}, {\"feature_4\": \"64\", \"total_measure\": 7488}, {\"feature_4\": \"66\", \"total_measure\": 7392}, {\"feature_4\": \"62\", \"total_measure\": 6758}, {\"feature_4\": \"63\", \"total_measure\": 6615}, {\"feature_4\": \"67\", \"total_measure\": 6499}, {\"feature_4\": \"65\", \"total_measure\": 6305}, {\"feature_4\": \"61\", \"total_measure\": 6222}, {\"feature_4\": \"60\", \"total_measure\": 6060}, {\"feature_4\": \"58\", \"total_measure\": 5162}, {\"feature_4\": \"59\", \"total_measure\": 5074}, {\"feature_4\": \"55\", \"total_measure\": 5060}, {\"feature_4\": \"57\", \"total_measure\": 4560}, {\"feature_4\": \"54\", \"total_measure\": 3834}, {\"feature_4\": \"56\", \"total_measure\": 3808}, {\"feature_4\": \"50\", \"total_measure\": 3000}, {\"feature_4\": \"52\", \"total_measure\": 2808}, {\"feature_4\": \"53\", \"total_measure\": 2491}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0b7ebfea144ee1b7f3003e39a6c27da83329dc0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:29:31.994027+00:00", + "ended_at": "2026-05-19T15:29:42.311445+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_c429c829ba4276ee", + "problem_id": "v2p_n9_47617819d122ce03", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_4, measure_col=feature_4.", + "bindings": { + "group_col": "feature_4", + "measure_col": "feature_4", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 100.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_c429c829ba4276ee.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c429c829ba4276ee", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 13696, + "output_tokens": 371, + "total_tokens": 15311, + "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": 10306.28, + "sql_execution_elapsed_ms_total": 6.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d604fe3b47f259da3acd8649efd0c7f437dfa366 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:42.303207+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10306.28, "started_at": "2026-05-19T15:29:31.995187+00:00", "ended_at": "2026-05-19T15:29:42.301507+00:00", "prompt_metrics": {"chars": 9392, "bytes_utf8": 9392, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 13696, "output_tokens": 371, "reasoning_output_tokens": 263}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_4\\\", SUM(CAST(\\\"feature_4\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided grouped numeric sum template with group_col=\\\"feature_4\\\" and measure_col=\\\"feature_4\\\". CAST is used because the schema stores this numeric field as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3e13cb860bfbcef650d4572fb424b7e0bb98eff3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c429c829ba4276ee", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 13696, + "output_tokens": 371, + "total_tokens": 15311, + "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": 10306.28, + "sql_execution_elapsed_ms_total": 6.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c429c829ba4276ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2424babbd8dcb6e437813199a7ad8c89853587e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3. +Result preview: [{"empirical_cdf_at_threshold": 0.75254730713246}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1d3b3b526926ffbfe6a34495a244b9701ad72e48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n9_c5c4236c1cb3293f +-- problem_id: v2p_n9_6237790a55ada2a9 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("feature_3" AS REAL) <= 58.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "n9"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d557c87c7d6286058643582b73a669656c6435bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/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_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_3\" AS REAL) <= 58.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_3\\\" AS REAL) <= 58.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.75254730713246}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3ff2d5b17f606cd1bd16523c04ec652c0bd35617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:04:39.293605+00:00", + "ended_at": "2026-05-19T16:04:47.296503+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_c5c4236c1cb3293f", + "problem_id": "v2p_n9_6237790a55ada2a9", + "dataset_id": "n9", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_3.", + "bindings": { + "measure_col": "feature_3", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 58.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=114" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_c5c4236c1cb3293f.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c5c4236c1cb3293f", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 255, + "total_tokens": 15182, + "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": 7997.66, + "sql_execution_elapsed_ms_total": 1.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d9e01088d870333252aabed926b79fec6c7bbcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:47.293230+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7997.66, "started_at": "2026-05-19T16:04:39.294730+00:00", "ended_at": "2026-05-19T16:04:47.292419+00:00", "prompt_metrics": {"chars": 9324, "bytes_utf8": 9324, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 385, "bytes_utf8": 385, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 13696, "output_tokens": 255, "reasoning_output_tokens": 145}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_3\\\" AS REAL) <= 58.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Applied the provided Threshold Rarity CDF template with measure_col bound to \\\"feature_3\\\" and measure_threshold fixed at 58.0. CAST to REAL is used because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..512d6843009f2f4dbd7f3e5c374fe4d9473a0d10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_c5c4236c1cb3293f", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 255, + "total_tokens": 15182, + "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": 7997.66, + "sql_execution_elapsed_ms_total": 1.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c5c4236c1cb3293f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eed4cd555c347d930397452527eb8557ea475421 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:09:18.018581+00:00", + "ended_at": "2026-05-19T16:09:24.971929+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_c91af70c03e4ff4c", + "problem_id": "v2p_n9_2dd2d8f615b30e79", + "dataset_id": "n9", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_2, measure_col=feature_10.", + "bindings": { + "group_col": "feature_2", + "measure_col": "feature_10", + "top_k": 12, + "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": 54.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c9a3fb9dfe123eed65536d1c92f9b69775e8546 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_c91af70c03e4ff4c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:21.158946+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3137.8, "started_at": "2026-05-19T16:09:18.020232+00:00", "ended_at": "2026-05-19T16:09:21.158055+00:00", "prompt_metrics": {"chars": 9472, "bytes_utf8": 9472, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-acc8-7183-aba6-ac2abf96c703\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:24.971743+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2810.24, "started_at": "2026-05-19T16:09:22.160053+00:00", "ended_at": "2026-05-19T16:09:24.970331+00:00", "prompt_metrics": {"chars": 9472, "bytes_utf8": 9472, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-bcee-7e01-9b64-cb29da7c7f26\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..094e06ec4dfc7e3012bd93050093ad49f80b1eaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"feature_5": "0", "support": 1568, "avg_response": 79.71428571428571}, {"feature_5": "100", "support": 1155, "avg_response": 89.92900432900433}, {"feature_5": "66", "support": 159, "avg_response": 81.95597484276729}, {"feature_5": "68", "support": 130, "avg_response": 86.0923076923077}, {"feature_5": "65", "support": 128, "avg_response": 83.265625}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..593ac495753fcf99e369fbc601c6ab07b9a5832f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n9_ca6673e8d6820e54 +-- problem_id: v2p_n9_1c8612c39e7dcac4 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "feature_5", + COUNT(*) AS support, + AVG("feature_4") AS avg_response +FROM "n9" +GROUP BY "feature_5" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb4087d2349a56bc6089071c9d0167a926430c4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n9_ca6673e8d6820e54\n-- problem_id: v2p_n9_1c8612c39e7dcac4\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"feature_5\",\n COUNT(*) AS support,\n AVG(\"feature_4\") AS avg_response\nFROM \"n9\"\nGROUP BY \"feature_5\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n9_ca6673e8d6820e54\\n-- problem_id: v2p_n9_1c8612c39e7dcac4\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"feature_5\\\",\\n COUNT(*) AS support,\\n AVG(\\\"feature_4\\\") AS avg_response\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_5\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"feature_5\", \"support\", \"avg_response\"], \"rows\": [{\"feature_5\": \"0\", \"support\": 1568, \"avg_response\": 79.71428571428571}, {\"feature_5\": \"100\", \"support\": 1155, \"avg_response\": 89.92900432900433}, {\"feature_5\": \"66\", \"support\": 159, \"avg_response\": 81.95597484276729}, {\"feature_5\": \"68\", \"support\": 130, \"avg_response\": 86.0923076923077}, {\"feature_5\": \"65\", \"support\": 128, \"avg_response\": 83.265625}, {\"feature_5\": \"62\", \"support\": 127, \"avg_response\": 81.97637795275591}, {\"feature_5\": \"60\", \"support\": 120, \"avg_response\": 85.91666666666667}, {\"feature_5\": \"64\", \"support\": 114, \"avg_response\": 84.43859649122807}, {\"feature_5\": \"67\", \"support\": 114, \"avg_response\": 80.57894736842105}, {\"feature_5\": \"61\", \"support\": 113, \"avg_response\": 81.59292035398231}, {\"feature_5\": \"70\", \"support\": 112, \"avg_response\": 87.41071428571429}, {\"feature_5\": \"74\", \"support\": 111, \"avg_response\": 84.8108108108108}, {\"feature_5\": \"73\", \"support\": 111, \"avg_response\": 84.23423423423424}, {\"feature_5\": \"76\", \"support\": 110, \"avg_response\": 85.99090909090908}, {\"feature_5\": \"69\", \"support\": 107, \"avg_response\": 82.66355140186916}, {\"feature_5\": \"81\", \"support\": 106, \"avg_response\": 91.52830188679245}, {\"feature_5\": \"78\", \"support\": 105, \"avg_response\": 87.38095238095238}, {\"feature_5\": \"59\", \"support\": 105, \"avg_response\": 85.04761904761905}, {\"feature_5\": \"52\", \"support\": 105, \"avg_response\": 83.0}, {\"feature_5\": \"22\", \"support\": 104, \"avg_response\": 80.01923076923077}, {\"feature_5\": \"77\", \"support\": 102, \"avg_response\": 85.6078431372549}, {\"feature_5\": \"57\", \"support\": 102, \"avg_response\": 83.75490196078431}, {\"feature_5\": \"71\", \"support\": 102, \"avg_response\": 83.05882352941177}, {\"feature_5\": \"63\", \"support\": 102, \"avg_response\": 80.48039215686275}, {\"feature_5\": \"56\", \"support\": 99, \"avg_response\": 85.87878787878788}, {\"feature_5\": \"79\", \"support\": 98, \"avg_response\": 88.66326530612245}, {\"feature_5\": \"54\", \"support\": 98, \"avg_response\": 85.74489795918367}, {\"feature_5\": \"58\", \"support\": 98, \"avg_response\": 84.68367346938776}, {\"feature_5\": \"49\", \"support\": 97, \"avg_response\": 84.34020618556701}, {\"feature_5\": \"55\", \"support\": 97, \"avg_response\": 83.72164948453609}, {\"feature_5\": \"83\", \"support\": 96, \"avg_response\": 90.15625}, {\"feature_5\": \"50\", \"support\": 94, \"avg_response\": 87.34042553191489}, {\"feature_5\": \"47\", \"support\": 93, \"avg_response\": 85.52688172043011}, {\"feature_5\": \"72\", \"support\": 92, \"avg_response\": 85.41304347826087}, {\"feature_5\": \"82\", \"support\": 91, \"avg_response\": 90.94505494505495}, {\"feature_5\": \"19\", \"support\": 91, \"avg_response\": 81.26373626373626}, {\"feature_5\": \"45\", \"support\": 90, \"avg_response\": 86.83333333333333}, {\"feature_5\": \"38\", \"support\": 89, \"avg_response\": 80.15730337078652}, {\"feature_5\": \"88\", \"support\": 88, \"avg_response\": 88.51136363636364}, {\"feature_5\": \"16\", \"support\": 88, \"avg_response\": 79.04545454545455}, {\"feature_5\": \"53\", \"support\": 87, \"avg_response\": 88.41379310344827}, {\"feature_5\": \"48\", \"support\": 87, \"avg_response\": 79.06896551724138}, {\"feature_5\": \"51\", \"support\": 87, \"avg_response\": 78.65517241379311}, {\"feature_5\": \"85\", \"support\": 86, \"avg_response\": 88.86046511627907}, {\"feature_5\": \"11\", \"support\": 85, \"avg_response\": 79.97647058823529}, {\"feature_5\": \"26\", \"support\": 85, \"avg_response\": 79.0}, {\"feature_5\": \"92\", \"support\": 84, \"avg_response\": 92.94047619047619}, {\"feature_5\": \"21\", \"support\": 82, \"avg_response\": 83.09756097560975}, {\"feature_5\": \"87\", \"support\": 81, \"avg_response\": 88.82716049382717}, {\"feature_5\": \"44\", \"support\": 81, \"avg_response\": 80.50617283950618}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9fc71d3441d1ba2a9d86cc9f7867b05e6faed6d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.870672+00:00", + "ended_at": "2026-05-19T16:10:15.876690+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_ca6673e8d6820e54", + "problem_id": "v2p_n9_1c8612c39e7dcac4", + "dataset_id": "n9", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=feature_4, key_col=feature_5.", + "bindings": { + "key_col": "feature_5", + "measure_col": "feature_4", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_ca6673e8d6820e54.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ca6673e8d6820e54/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5b28c741438f92e66b8fa44e6c085c5f756bf260 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:07:18.796726+00:00", + "ended_at": "2026-05-19T16:07:26.159217+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_ccd1f3b336eda6d8", + "problem_id": "v2p_n9_cb64ff5d6124440c", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_8.", + "bindings": { + "group_col": "feature_8", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..969b1e168ec504841579f7c678c84994aff471d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ccd1f3b336eda6d8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:22.022307+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3223.36, "started_at": "2026-05-19T16:07:18.798176+00:00", "ended_at": "2026-05-19T16:07:22.021556+00:00", "prompt_metrics": {"chars": 9377, "bytes_utf8": 9377, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-db21-7302-848b-fc0cf8181ca4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:26.159132+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3134.09, "started_at": "2026-05-19T16:07:23.024317+00:00", "ended_at": "2026-05-19T16:07:26.158451+00:00", "prompt_metrics": {"chars": 9377, "bytes_utf8": 9377, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-eb89-7701-a133-c905322c29b1\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..817b3db41594d7537bcbf118a110b8924cbead13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_12, measure_col=feature_13. +Result preview: [{"feature_12": "99", "feature_14": "100", "total_measure": 452.0, "share_within_group": 91.68356997971603}, {"feature_12": "92", "feature_14": "100", "total_measure": 626.0, "share_within_group": 80.98318240620958}, {"feature_12": "96", "feature_14": "100", "total_measure": 414.0, "share_within_group": 68.77076411960132}, {"feature_12": "76", "feature_14": "100", "total_measure": 1856.0, "share_within_group": 66.33309506790565}, {"feature_12": "93", "feature_14": "100", "total_measure": 694.0, "share_within_group": 65.53352219074598}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6cb82512e0633732de71a164e21b7da5d5b5b8ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_d0a697d698aaf8b9 +-- problem_id: v2p_n9_69c2f72812dac872 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_12", "feature_14", + SUM(CAST("feature_13" AS REAL)) AS total_measure, + SUM(CAST("feature_13" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_13" AS REAL))) OVER (PARTITION BY "feature_12") AS share_within_group +FROM "n9" +GROUP BY "feature_12", "feature_14" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29e7f8bfed1ff1eb53a58478b3e1ef56cf6ca346 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/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_tpcds_within_group_share\nSELECT \"feature_12\", \"feature_14\",\n SUM(CAST(\"feature_13\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_13\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_13\" AS REAL))) OVER (PARTITION BY \"feature_12\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_12\", \"feature_14\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_12\\\", \\\"feature_14\\\",\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_13\\\" AS REAL))) OVER (PARTITION BY \\\"feature_12\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\", \\\"feature_14\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"feature_12\", \"feature_14\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_12\": \"99\", \"feature_14\": \"100\", \"total_measure\": 452.0, \"share_within_group\": 91.68356997971603}, {\"feature_12\": \"92\", \"feature_14\": \"100\", \"total_measure\": 626.0, \"share_within_group\": 80.98318240620958}, {\"feature_12\": \"96\", \"feature_14\": \"100\", \"total_measure\": 414.0, \"share_within_group\": 68.77076411960132}, {\"feature_12\": \"76\", \"feature_14\": \"100\", \"total_measure\": 1856.0, \"share_within_group\": 66.33309506790565}, {\"feature_12\": \"93\", \"feature_14\": \"100\", \"total_measure\": 694.0, \"share_within_group\": 65.53352219074598}, {\"feature_12\": \"97\", \"feature_14\": \"100\", \"total_measure\": 311.0, \"share_within_group\": 59.80769230769231}, {\"feature_12\": \"80\", \"feature_14\": \"100\", \"total_measure\": 1395.0, \"share_within_group\": 59.13522679101314}, {\"feature_12\": \"90\", \"feature_14\": \"100\", \"total_measure\": 951.0, \"share_within_group\": 56.640857653365096}, {\"feature_12\": \"89\", \"feature_14\": \"100\", \"total_measure\": 620.0, \"share_within_group\": 56.466302367941715}, {\"feature_12\": \"87\", \"feature_14\": \"100\", \"total_measure\": 376.0, \"share_within_group\": 53.257790368271955}, {\"feature_12\": \"70\", \"feature_14\": \"100\", \"total_measure\": 2802.0, \"share_within_group\": 52.052758684748284}, {\"feature_12\": \"83\", \"feature_14\": \"100\", \"total_measure\": 966.0, \"share_within_group\": 51.935483870967744}, {\"feature_12\": \"98\", \"feature_14\": \"100\", \"total_measure\": 287.0, \"share_within_group\": 51.89873417721519}, {\"feature_12\": \"91\", \"feature_14\": \"100\", \"total_measure\": 471.0, \"share_within_group\": 51.19565217391305}, {\"feature_12\": \"85\", \"feature_14\": \"100\", \"total_measure\": 831.0, \"share_within_group\": 50.825688073394495}, {\"feature_12\": \"67\", \"feature_14\": \"100\", \"total_measure\": 3837.0, \"share_within_group\": 50.74054482941021}, {\"feature_12\": \"50\", \"feature_14\": \"25\", \"total_measure\": 6619.0, \"share_within_group\": 48.98971208644808}, {\"feature_12\": \"84\", \"feature_14\": \"100\", \"total_measure\": 892.0, \"share_within_group\": 48.268398268398265}, {\"feature_12\": \"81\", \"feature_14\": \"100\", \"total_measure\": 1223.0, \"share_within_group\": 47.60607240171273}, {\"feature_12\": \"79\", \"feature_14\": \"100\", \"total_measure\": 1160.0, \"share_within_group\": 47.21204721204721}, {\"feature_12\": \"72\", \"feature_14\": \"100\", \"total_measure\": 2222.0, \"share_within_group\": 47.096227214921576}, {\"feature_12\": \"95\", \"feature_14\": \"100\", \"total_measure\": 509.0, \"share_within_group\": 46.48401826484018}, {\"feature_12\": \"74\", \"feature_14\": \"100\", \"total_measure\": 1256.0, \"share_within_group\": 46.31268436578171}, {\"feature_12\": \"68\", \"feature_14\": \"100\", \"total_measure\": 3631.0, \"share_within_group\": 46.24888549229397}, {\"feature_12\": \"69\", \"feature_14\": \"100\", \"total_measure\": 2423.0, \"share_within_group\": 45.84673604541154}, {\"feature_12\": \"75\", \"feature_14\": \"100\", \"total_measure\": 1200.0, \"share_within_group\": 44.526901669758814}, {\"feature_12\": \"73\", \"feature_14\": \"100\", \"total_measure\": 1946.0, \"share_within_group\": 44.05705229793978}, {\"feature_12\": \"2\", \"feature_14\": \"0\", \"total_measure\": 2508.0, \"share_within_group\": 43.15209910529938}, {\"feature_12\": \"19\", \"feature_14\": \"0\", \"total_measure\": 3338.0, \"share_within_group\": 42.247816732059235}, {\"feature_12\": \"16\", \"feature_14\": \"0\", \"total_measure\": 4022.0, \"share_within_group\": 41.179481928944405}, {\"feature_12\": \"94\", \"feature_14\": \"100\", \"total_measure\": 424.0, \"share_within_group\": 41.16504854368932}, {\"feature_12\": \"14\", \"feature_14\": \"0\", \"total_measure\": 3111.0, \"share_within_group\": 41.025979163919295}, {\"feature_12\": \"18\", \"feature_14\": \"0\", \"total_measure\": 3338.0, \"share_within_group\": 40.92692496321726}, {\"feature_12\": \"9\", \"feature_14\": \"0\", \"total_measure\": 3250.0, \"share_within_group\": 40.52369077306733}, {\"feature_12\": \"11\", \"feature_14\": \"0\", \"total_measure\": 2852.0, \"share_within_group\": 40.03368893879843}, {\"feature_12\": \"71\", \"feature_14\": \"100\", \"total_measure\": 1776.0, \"share_within_group\": 39.82955819690513}, {\"feature_12\": \"17\", \"feature_14\": \"0\", \"total_measure\": 3154.0, \"share_within_group\": 39.69292725899824}, {\"feature_12\": \"10\", \"feature_14\": \"0\", \"total_measure\": 2932.0, \"share_within_group\": 39.435104236718225}, {\"feature_12\": \"13\", \"feature_14\": \"0\", \"total_measure\": 2813.0, \"share_within_group\": 39.403277769995796}, {\"feature_12\": \"23\", \"feature_14\": \"0\", \"total_measure\": 2711.0, \"share_within_group\": 39.11976911976912}, {\"feature_12\": \"78\", \"feature_14\": \"100\", \"total_measure\": 995.0, \"share_within_group\": 38.746105919003114}, {\"feature_12\": \"15\", \"feature_14\": \"0\", \"total_measure\": 3660.0, \"share_within_group\": 38.30856185890726}, {\"feature_12\": \"12\", \"feature_14\": \"0\", \"total_measure\": 3186.0, \"share_within_group\": 38.128291048348494}, {\"feature_12\": \"21\", \"feature_14\": \"0\", \"total_measure\": 2754.0, \"share_within_group\": 35.78947368421053}, {\"feature_12\": \"82\", \"feature_14\": \"100\", \"total_measure\": 617.0, \"share_within_group\": 35.72669368847713}, {\"feature_12\": \"5\", \"feature_14\": \"0\", \"total_measure\": 2283.0, \"share_within_group\": 35.52201649292049}, {\"feature_12\": \"88\", \"feature_14\": \"100\", \"total_measure\": 422.0, \"share_within_group\": 35.37300922045264}, {\"feature_12\": \"77\", \"feature_14\": \"100\", \"total_measure\": 1039.0, \"share_within_group\": 34.97139010434197}, {\"feature_12\": \"20\", \"feature_14\": \"0\", \"total_measure\": 2624.0, \"share_within_group\": 32.53968253968254}, {\"feature_12\": \"95\", \"feature_14\": \"47\", \"total_measure\": 356.0, \"share_within_group\": 32.51141552511415}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 36.48}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..09aa7b2d78b3dd43bf72175ed2001cff546005ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:36:42.582250+00:00", + "ended_at": "2026-05-19T15:36:53.819633+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d0a697d698aaf8b9", + "problem_id": "v2p_n9_69c2f72812dac872", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_12, measure_col=feature_13.", + "bindings": { + "group_col": "feature_12", + "measure_col": "feature_13", + "item_col": "feature_14", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 61.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_d0a697d698aaf8b9.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d0a697d698aaf8b9", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 575, + "total_tokens": 15634, + "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": 11194.73, + "sql_execution_elapsed_ms_total": 36.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..284e721d4f0171f28ba2f6c8662bdf4affd43ebe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:53.780085+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11194.73, "started_at": "2026-05-19T15:36:42.583614+00:00", "ended_at": "2026-05-19T15:36:53.778372+00:00", "prompt_metrics": {"chars": 9802, "bytes_utf8": 9802, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 613, "bytes_utf8": 613, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 12032, "output_tokens": 575, "reasoning_output_tokens": 398}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_12\\\", \\\"feature_14\\\",\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_13\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_13\\\" AS REAL))) OVER (PARTITION BY \\\"feature_12\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\", \\\"feature_14\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"feature_12\\\", item_col=\\\"feature_14\\\", and measure_col=\\\"feature_13\\\". The measure is cast from TEXT to REAL so SQLite aggregates it numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ae0f3a0b7b9054a6670d143fa002c74c9c071af7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d0a697d698aaf8b9", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 575, + "total_tokens": 15634, + "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": 11194.73, + "sql_execution_elapsed_ms_total": 36.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d0a697d698aaf8b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a003b61ee24ac54249849917bd1722d8c6169a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_14, condition_col=class. +Result preview: [{"feature_14": "32", "condition_rate": 0.3905579399141631}, {"feature_14": "30", "condition_rate": 0.3879781420765027}, {"feature_14": "36", "condition_rate": 0.34965034965034963}, {"feature_14": "29", "condition_rate": 0.34408602150537637}, {"feature_14": "31", "condition_rate": 0.3423913043478261}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8373903c2a80ea2379f04d75fb44cf8f6431777a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_d232a388de08c479 +-- problem_id: v2p_n9_7f52ea62302bcf9f +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_14", + AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "n9" +GROUP BY "feature_14" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a5f7ed46717d0374d903b584141807509ef883f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/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_group_condition_rate.\nSELECT\n \"feature_14\",\n AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_14\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate.\\nSELECT\\n \\\"feature_14\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"feature_14\", \"condition_rate\"], \"rows\": [{\"feature_14\": \"32\", \"condition_rate\": 0.3905579399141631}, {\"feature_14\": \"30\", \"condition_rate\": 0.3879781420765027}, {\"feature_14\": \"36\", \"condition_rate\": 0.34965034965034963}, {\"feature_14\": \"29\", \"condition_rate\": 0.34408602150537637}, {\"feature_14\": \"31\", \"condition_rate\": 0.3423913043478261}, {\"feature_14\": \"35\", \"condition_rate\": 0.3419354838709677}, {\"feature_14\": \"34\", \"condition_rate\": 0.3382352941176471}, {\"feature_14\": \"33\", \"condition_rate\": 0.32075471698113206}, {\"feature_14\": \"38\", \"condition_rate\": 0.2926829268292683}, {\"feature_14\": \"28\", \"condition_rate\": 0.2814070351758794}, {\"feature_14\": \"27\", \"condition_rate\": 0.27722772277227725}, {\"feature_14\": \"26\", \"condition_rate\": 0.271356783919598}, {\"feature_14\": \"39\", \"condition_rate\": 0.2537313432835821}, {\"feature_14\": \"41\", \"condition_rate\": 0.25301204819277107}, {\"feature_14\": \"23\", \"condition_rate\": 0.23809523809523808}, {\"feature_14\": \"50\", \"condition_rate\": 0.22916666666666666}, {\"feature_14\": \"24\", \"condition_rate\": 0.22510822510822512}, {\"feature_14\": \"42\", \"condition_rate\": 0.21686746987951808}, {\"feature_14\": \"43\", \"condition_rate\": 0.19480519480519481}, {\"feature_14\": \"37\", \"condition_rate\": 0.18487394957983194}, {\"feature_14\": \"47\", \"condition_rate\": 0.18333333333333332}, {\"feature_14\": \"21\", \"condition_rate\": 0.18181818181818182}, {\"feature_14\": \"22\", \"condition_rate\": 0.17419354838709677}, {\"feature_14\": \"46\", \"condition_rate\": 0.16666666666666666}, {\"feature_14\": \"45\", \"condition_rate\": 0.16216216216216217}, {\"feature_14\": \"44\", \"condition_rate\": 0.15714285714285714}, {\"feature_14\": \"48\", \"condition_rate\": 0.14814814814814814}, {\"feature_14\": \"25\", \"condition_rate\": 0.13945578231292516}, {\"feature_14\": \"49\", \"condition_rate\": 0.13157894736842105}, {\"feature_14\": \"18\", \"condition_rate\": 0.12631578947368421}, {\"feature_14\": \"40\", \"condition_rate\": 0.11711711711711711}, {\"feature_14\": \"19\", \"condition_rate\": 0.1}, {\"feature_14\": \"20\", \"condition_rate\": 0.0948905109489051}, {\"feature_14\": \"53\", \"condition_rate\": 0.06896551724137931}, {\"feature_14\": \"17\", \"condition_rate\": 0.05747126436781609}, {\"feature_14\": \"54\", \"condition_rate\": 0.041666666666666664}, {\"feature_14\": \"60\", \"condition_rate\": 0.037037037037037035}, {\"feature_14\": \"52\", \"condition_rate\": 0.037037037037037035}, {\"feature_14\": \"16\", \"condition_rate\": 0.033707865168539325}, {\"feature_14\": \"51\", \"condition_rate\": 0.030303030303030304}, {\"feature_14\": \"14\", \"condition_rate\": 0.03}, {\"feature_14\": \"15\", \"condition_rate\": 0.02247191011235955}, {\"feature_14\": \"99\", \"condition_rate\": 0.0}, {\"feature_14\": \"98\", \"condition_rate\": 0.0}, {\"feature_14\": \"97\", \"condition_rate\": 0.0}, {\"feature_14\": \"96\", \"condition_rate\": 0.0}, {\"feature_14\": \"95\", \"condition_rate\": 0.0}, {\"feature_14\": \"94\", \"condition_rate\": 0.0}, {\"feature_14\": \"93\", \"condition_rate\": 0.0}, {\"feature_14\": \"92\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1bc2219a14594cf769b5a4ee8785e7c6c16e5400 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:01:48.538809+00:00", + "ended_at": "2026-05-19T16:02:02.430017+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d232a388de08c479", + "problem_id": "v2p_n9_7f52ea62302bcf9f", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_14, condition_col=class.", + "bindings": { + "group_col": "feature_14", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "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": 58.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_d232a388de08c479.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d232a388de08c479", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 593, + "total_tokens": 15590, + "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": 13873.83, + "sql_execution_elapsed_ms_total": 12.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bed02c863f1caf214e3dd267799412b54e9bfbad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:02.415168+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13873.83, "started_at": "2026-05-19T16:01:48.539859+00:00", "ended_at": "2026-05-19T16:02:02.413721+00:00", "prompt_metrics": {"chars": 9630, "bytes_utf8": 9630, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 441, "bytes_utf8": 441, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 593, "reasoning_output_tokens": 467}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT\\n \\\"feature_14\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_14\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col bound to \\\"feature_14\\\" and condition_col bound to \\\"class\\\", measuring the share of rows where class = '4' within each feature_14 group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f253ecc2918f9a3a3afcb4701f63316b7c6393b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d232a388de08c479", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 593, + "total_tokens": 15590, + "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": 13873.83, + "sql_execution_elapsed_ms_total": 12.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d232a388de08c479/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f29fc5770d58733ba80b1d26ec6b803bf03bb2f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:07:34.099603+00:00", + "ended_at": "2026-05-19T16:07:41.410656+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d3320bdf8364ae93", + "problem_id": "v2p_n9_7c462e97b98a6d9f", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_9.", + "bindings": { + "group_col": "feature_9", + "top_k": 12, + "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": 51.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=127" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4b527fcbcb7348e0ed5ac0b240754d63c73f6b17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d3320bdf8364ae93/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:37.148831+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3046.46, "started_at": "2026-05-19T16:07:34.100844+00:00", "ended_at": "2026-05-19T16:07:37.147339+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-16f0-7bf3-bedf-c01082bd70b6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:41.410563+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3259.19, "started_at": "2026-05-19T16:07:38.150553+00:00", "ended_at": "2026-05-19T16:07:41.409790+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-269c-7860-a6b3-d1474d65bedc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..735dec12096d4ef5d62d0837c2757189fcd1d663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_14, measure_col=feature_2. +Result preview: [{"feature_14": "0", "group_value": 144150.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1e2b544bf19b4ea9d1175fb8e9b49e24bdbc8461 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_d39556c99d6ba666 +-- problem_id: v2p_n9_7bf5f7edac33df01 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_14", SUM(CAST("feature_2" AS REAL)) AS group_value + FROM "n9" + GROUP BY "feature_14" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."feature_14", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9d669a764e98e604ce434b8c97fbf635b3a5556 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/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_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_14\", SUM(CAST(\"feature_2\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_14\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_14\", 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_14\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_14\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_14\\\", 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;\", \"columns\": [\"feature_14\", \"group_value\"], \"rows\": [{\"feature_14\": \"0\", \"group_value\": 144150.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..694b7c25efed62f2949517686e525d99562227fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:50:14.955293+00:00", + "ended_at": "2026-05-19T15:50:23.868797+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d39556c99d6ba666", + "problem_id": "v2p_n9_7bf5f7edac33df01", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_14, measure_col=feature_2.", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_2", + "top_k": 11, + "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": 100.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_d39556c99d6ba666.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d39556c99d6ba666", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 12032, + "output_tokens": 387, + "total_tokens": 15465, + "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": 8902.8, + "sql_execution_elapsed_ms_total": 6.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1512e471f90a87649eb0e94b0dbb09891ff65d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:23.860555+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8902.8, "started_at": "2026-05-19T15:50:14.956919+00:00", "ended_at": "2026-05-19T15:50:23.859750+00:00", "prompt_metrics": {"chars": 9947, "bytes_utf8": 9947, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 644, "bytes_utf8": 644, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 12032, "output_tokens": 387, "reasoning_output_tokens": 214}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_14\\\", SUM(CAST(\\\"feature_2\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_14\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_14\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"feature_14\\\" and measure_col=\\\"feature_2\\\". CAST to REAL is used because the schema stores numeric features as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b3988284de69b2f40a4711a40328d051e9ba63c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d39556c99d6ba666", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 12032, + "output_tokens": 387, + "total_tokens": 15465, + "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": 8902.8, + "sql_execution_elapsed_ms_total": 6.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d39556c99d6ba666/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ede7d8089c119d3ef0c8751c2aee03e010c51a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 2239, "support_share": 0.20369359534206696, "cumulative_support": 2239}, {"value_label": "75", "support": 237, "support_share": 0.02156113537117904, "cumulative_support": 2476}, {"value_label": "35", "support": 179, "support_share": 0.016284570596797672, "cumulative_support": 2655}, {"value_label": "44", "support": 159, "support_share": 0.014465065502183407, "cumulative_support": 2814}, {"value_label": "36", "support": 151, "support_share": 0.0137372634643377, "cumulative_support": 2965}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d8cce86c15127040c4c30996ddb5603e578f64cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n9_d4355a2605bef303 +-- problem_id: v2p_n9_7eb83550af1e6b99 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_10" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_10" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3867cc2e9708cb32cbaee907a769bbe90bddd958 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n9_d4355a2605bef303\n-- problem_id: v2p_n9_7eb83550af1e6b99\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_10\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_10\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n9_d4355a2605bef303\\n-- problem_id: v2p_n9_7eb83550af1e6b99\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_10\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_10\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 2239, \"support_share\": 0.20369359534206696, \"cumulative_support\": 2239}, {\"value_label\": \"75\", \"support\": 237, \"support_share\": 0.02156113537117904, \"cumulative_support\": 2476}, {\"value_label\": \"35\", \"support\": 179, \"support_share\": 0.016284570596797672, \"cumulative_support\": 2655}, {\"value_label\": \"44\", \"support\": 159, \"support_share\": 0.014465065502183407, \"cumulative_support\": 2814}, {\"value_label\": \"36\", \"support\": 151, \"support_share\": 0.0137372634643377, \"cumulative_support\": 2965}, {\"value_label\": \"45\", \"support\": 147, \"support_share\": 0.013373362445414847, \"cumulative_support\": 3112}, {\"value_label\": \"34\", \"support\": 140, \"support_share\": 0.012736535662299854, \"cumulative_support\": 3252}, {\"value_label\": \"43\", \"support\": 140, \"support_share\": 0.012736535662299854, \"cumulative_support\": 3392}, {\"value_label\": \"42\", \"support\": 139, \"support_share\": 0.012645560407569142, \"cumulative_support\": 3531}, {\"value_label\": \"40\", \"support\": 138, \"support_share\": 0.012554585152838428, \"cumulative_support\": 3669}, {\"value_label\": \"41\", \"support\": 138, \"support_share\": 0.012554585152838428, \"cumulative_support\": 3807}, {\"value_label\": \"38\", \"support\": 137, \"support_share\": 0.012463609898107715, \"cumulative_support\": 3944}, {\"value_label\": \"48\", \"support\": 133, \"support_share\": 0.012099708879184861, \"cumulative_support\": 4077}, {\"value_label\": \"49\", \"support\": 133, \"support_share\": 0.012099708879184861, \"cumulative_support\": 4210}, {\"value_label\": \"29\", \"support\": 132, \"support_share\": 0.012008733624454149, \"cumulative_support\": 4342}, {\"value_label\": \"30\", \"support\": 131, \"support_share\": 0.011917758369723435, \"cumulative_support\": 4473}, {\"value_label\": \"47\", \"support\": 130, \"support_share\": 0.011826783114992722, \"cumulative_support\": 4603}, {\"value_label\": \"46\", \"support\": 128, \"support_share\": 0.011644832605531296, \"cumulative_support\": 4731}, {\"value_label\": \"16\", \"support\": 123, \"support_share\": 0.01118995633187773, \"cumulative_support\": 4854}, {\"value_label\": \"32\", \"support\": 122, \"support_share\": 0.011098981077147015, \"cumulative_support\": 4976}, {\"value_label\": \"39\", \"support\": 122, \"support_share\": 0.011098981077147015, \"cumulative_support\": 5098}, {\"value_label\": \"50\", \"support\": 122, \"support_share\": 0.011098981077147015, \"cumulative_support\": 5220}, {\"value_label\": \"37\", \"support\": 121, \"support_share\": 0.011008005822416303, \"cumulative_support\": 5341}, {\"value_label\": \"12\", \"support\": 117, \"support_share\": 0.01064410480349345, \"cumulative_support\": 5458}, {\"value_label\": \"25\", \"support\": 113, \"support_share\": 0.010280203784570598, \"cumulative_support\": 5571}, {\"value_label\": \"24\", \"support\": 112, \"support_share\": 0.010189228529839884, \"cumulative_support\": 5683}, {\"value_label\": \"20\", \"support\": 110, \"support_share\": 0.010007278020378457, \"cumulative_support\": 5793}, {\"value_label\": \"22\", \"support\": 110, \"support_share\": 0.010007278020378457, \"cumulative_support\": 5903}, {\"value_label\": \"31\", \"support\": 110, \"support_share\": 0.010007278020378457, \"cumulative_support\": 6013}, {\"value_label\": \"74\", \"support\": 110, \"support_share\": 0.010007278020378457, \"cumulative_support\": 6123}, {\"value_label\": \"27\", \"support\": 109, \"support_share\": 0.009916302765647743, \"cumulative_support\": 6232}, {\"value_label\": \"19\", \"support\": 107, \"support_share\": 0.009734352256186317, \"cumulative_support\": 6339}, {\"value_label\": \"33\", \"support\": 107, \"support_share\": 0.009734352256186317, \"cumulative_support\": 6446}, {\"value_label\": \"15\", \"support\": 106, \"support_share\": 0.009643377001455605, \"cumulative_support\": 6552}, {\"value_label\": \"6\", \"support\": 105, \"support_share\": 0.00955240174672489, \"cumulative_support\": 6657}, {\"value_label\": \"23\", \"support\": 104, \"support_share\": 0.009461426491994178, \"cumulative_support\": 6761}, {\"value_label\": \"17\", \"support\": 103, \"support_share\": 0.009370451237263464, \"cumulative_support\": 6864}, {\"value_label\": \"28\", \"support\": 103, \"support_share\": 0.009370451237263464, \"cumulative_support\": 6967}, {\"value_label\": \"13\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 7069}, {\"value_label\": \"52\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 7171}, {\"value_label\": \"60\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 7273}, {\"value_label\": \"10\", \"support\": 101, \"support_share\": 0.009188500727802038, \"cumulative_support\": 7374}, {\"value_label\": \"51\", \"support\": 101, \"support_share\": 0.009188500727802038, \"cumulative_support\": 7475}, {\"value_label\": \"64\", \"support\": 99, \"support_share\": 0.009006550218340612, \"cumulative_support\": 7574}, {\"value_label\": \"8\", \"support\": 96, \"support_share\": 0.008733624454148471, \"cumulative_support\": 7670}, {\"value_label\": \"14\", \"support\": 94, \"support_share\": 0.008551673944687045, \"cumulative_support\": 7764}, {\"value_label\": \"62\", \"support\": 94, \"support_share\": 0.008551673944687045, \"cumulative_support\": 7858}, {\"value_label\": \"18\", \"support\": 91, \"support_share\": 0.008278748180494906, \"cumulative_support\": 7949}, {\"value_label\": \"26\", \"support\": 91, \"support_share\": 0.008278748180494906, \"cumulative_support\": 8040}, {\"value_label\": \"4\", \"support\": 91, \"support_share\": 0.008278748180494906, \"cumulative_support\": 8131}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..19ac1a54b95b46258e3f327195e22bf1516f21f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.753653+00:00", + "ended_at": "2026-05-19T16:10:15.759190+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d4355a2605bef303", + "problem_id": "v2p_n9_7eb83550af1e6b99", + "dataset_id": "n9", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=feature_10.", + "bindings": { + "group_col": "feature_10" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_d4355a2605bef303.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d4355a2605bef303/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ea0815d5151b68f4caebafc426e39c8390e4ad3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_10, measure_col=feature_14. +Result preview: [{"feature_10": "0", "group_value": 99579.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d2c75196864534dbad8ce9fa53e72b31c97a3f29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_d62159ffcc757d29 +-- problem_id: v2p_n9_fc7583bde9473d0b +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_10", SUM(CAST("feature_14" AS REAL)) AS group_value + FROM "n9" + GROUP BY "feature_10" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."feature_10", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a7340fc8ee95af053a3771d61c478da4d84c7231 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/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_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_10\", SUM(CAST(\"feature_14\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_10\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_10\", 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_10\\\", SUM(CAST(\\\"feature_14\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_10\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_10\\\", 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;\", \"columns\": [\"feature_10\", \"group_value\"], \"rows\": [{\"feature_10\": \"0\", \"group_value\": 99579.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.92}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..09dd39eabecec5cbc9b93829770bcecce1ef7060 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:48:22.538186+00:00", + "ended_at": "2026-05-19T15:48:34.359488+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d62159ffcc757d29", + "problem_id": "v2p_n9_fc7583bde9473d0b", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=feature_10, measure_col=feature_14.", + "bindings": { + "group_col": "feature_10", + "measure_col": "feature_14", + "top_k": 12, + "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": 47.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_d62159ffcc757d29.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d62159ffcc757d29", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 533, + "total_tokens": 15611, + "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": 11811.96, + "sql_execution_elapsed_ms_total": 5.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fca93a1d1f872eaadc05a160cc420c55a21f79db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:34.352186+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11811.96, "started_at": "2026-05-19T15:48:22.539365+00:00", "ended_at": "2026-05-19T15:48:34.351353+00:00", "prompt_metrics": {"chars": 9948, "bytes_utf8": 9948, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15078, "cached_input_tokens": 13696, "output_tokens": 533, "reasoning_output_tokens": 357}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_10\\\", SUM(CAST(\\\"feature_14\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_10\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_10\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"feature_10\\\" and measure_col=\\\"feature_14\\\". Cast \\\"feature_14\\\" to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e11b14401615dbae154751f0a5c46aecc17807d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d62159ffcc757d29", + "api_calls": 0, + "input_tokens": 15078, + "cached_input_tokens": 13696, + "output_tokens": 533, + "total_tokens": 15611, + "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": 11811.96, + "sql_execution_elapsed_ms_total": 5.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d62159ffcc757d29/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ab7ed161876a7f9f0548b7f0936cb68339f4a3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/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=feature_4, group_col_2=feature_11. +Result preview: [{"feature_4": "100", "feature_11": "100", "row_count": 170}, {"feature_4": "100", "feature_11": "0", "row_count": 169}, {"feature_4": "77", "feature_11": "100", "row_count": 31}, {"feature_4": "80", "feature_11": "100", "row_count": 30}, {"feature_4": "82", "feature_11": "100", "row_count": 29}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fe94fb4ea5ba3df745d5bb10b229c2606315b5ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- 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_n9_d64bf21a8efbc3ef +-- problem_id: v2p_n9_5df33407c1f57390 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_4", "feature_11", COUNT(*) AS "row_count" +FROM "n9" +WHERE CAST("feature_1" AS REAL) >= 65.0 +GROUP BY "feature_4", "feature_11" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..162a317b2c87eea19ff0bd2519045c80c3c854f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/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 \"feature_4\", \"feature_11\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_1\" AS REAL) >= 65.0\nGROUP BY \"feature_4\", \"feature_11\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_11\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_1\\\" AS REAL) >= 65.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_11\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"feature_4\", \"feature_11\", \"row_count\"], \"rows\": [{\"feature_4\": \"100\", \"feature_11\": \"100\", \"row_count\": 170}, {\"feature_4\": \"100\", \"feature_11\": \"0\", \"row_count\": 169}, {\"feature_4\": \"77\", \"feature_11\": \"100\", \"row_count\": 31}, {\"feature_4\": \"80\", \"feature_11\": \"100\", \"row_count\": 30}, {\"feature_4\": \"82\", \"feature_11\": \"100\", \"row_count\": 29}, {\"feature_4\": \"78\", \"feature_11\": \"100\", \"row_count\": 28}, {\"feature_4\": \"76\", \"feature_11\": \"100\", \"row_count\": 27}, {\"feature_4\": \"84\", \"feature_11\": \"100\", \"row_count\": 26}, {\"feature_4\": \"79\", \"feature_11\": \"100\", \"row_count\": 25}, {\"feature_4\": \"85\", \"feature_11\": \"100\", \"row_count\": 25}, {\"feature_4\": \"75\", \"feature_11\": \"100\", \"row_count\": 22}, {\"feature_4\": \"81\", \"feature_11\": \"100\", \"row_count\": 22}, {\"feature_4\": \"100\", \"feature_11\": \"87\", \"row_count\": 21}, {\"feature_4\": \"87\", \"feature_11\": \"100\", \"row_count\": 21}, {\"feature_4\": \"100\", \"feature_11\": \"90\", \"row_count\": 20}, {\"feature_4\": \"100\", \"feature_11\": \"92\", \"row_count\": 19}, {\"feature_4\": \"100\", \"feature_11\": \"94\", \"row_count\": 19}, {\"feature_4\": \"100\", \"feature_11\": \"91\", \"row_count\": 18}, {\"feature_4\": \"100\", \"feature_11\": \"99\", \"row_count\": 17}, {\"feature_4\": \"83\", \"feature_11\": \"100\", \"row_count\": 17}, {\"feature_4\": \"88\", \"feature_11\": \"100\", \"row_count\": 17}, {\"feature_4\": \"90\", \"feature_11\": \"100\", \"row_count\": 17}, {\"feature_4\": \"100\", \"feature_11\": \"86\", \"row_count\": 16}, {\"feature_4\": \"100\", \"feature_11\": \"85\", \"row_count\": 15}, {\"feature_4\": \"100\", \"feature_11\": \"98\", \"row_count\": 15}, {\"feature_4\": \"89\", \"feature_11\": \"100\", \"row_count\": 15}, {\"feature_4\": \"100\", \"feature_11\": \"69\", \"row_count\": 13}, {\"feature_4\": \"100\", \"feature_11\": \"84\", \"row_count\": 13}, {\"feature_4\": \"100\", \"feature_11\": \"88\", \"row_count\": 13}, {\"feature_4\": \"100\", \"feature_11\": \"93\", \"row_count\": 13}, {\"feature_4\": \"100\", \"feature_11\": \"95\", \"row_count\": 13}, {\"feature_4\": \"74\", \"feature_11\": \"100\", \"row_count\": 13}, {\"feature_4\": \"100\", \"feature_11\": \"64\", \"row_count\": 12}, {\"feature_4\": \"100\", \"feature_11\": \"67\", \"row_count\": 12}, {\"feature_4\": \"100\", \"feature_11\": \"78\", \"row_count\": 12}, {\"feature_4\": \"86\", \"feature_11\": \"100\", \"row_count\": 12}, {\"feature_4\": \"92\", \"feature_11\": \"100\", \"row_count\": 12}, {\"feature_4\": \"100\", \"feature_11\": \"63\", \"row_count\": 11}, {\"feature_4\": \"100\", \"feature_11\": \"73\", \"row_count\": 11}, {\"feature_4\": \"100\", \"feature_11\": \"77\", \"row_count\": 11}, {\"feature_4\": \"100\", \"feature_11\": \"83\", \"row_count\": 11}, {\"feature_4\": \"100\", \"feature_11\": \"97\", \"row_count\": 11}, {\"feature_4\": \"99\", \"feature_11\": \"100\", \"row_count\": 11}, {\"feature_4\": \"100\", \"feature_11\": \"66\", \"row_count\": 10}, {\"feature_4\": \"100\", \"feature_11\": \"76\", \"row_count\": 10}, {\"feature_4\": \"100\", \"feature_11\": \"80\", \"row_count\": 10}, {\"feature_4\": \"100\", \"feature_11\": \"89\", \"row_count\": 10}, {\"feature_4\": \"93\", \"feature_11\": \"100\", \"row_count\": 10}, {\"feature_4\": \"98\", \"feature_11\": \"100\", \"row_count\": 10}, {\"feature_4\": \"100\", \"feature_11\": \"70\", \"row_count\": 9}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2ccce97b24348f85228d4803351cd83027803dc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:41:56.891922+00:00", + "ended_at": "2026-05-19T15:42:18.994122+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d64bf21a8efbc3ef", + "problem_id": "v2p_n9_5df33407c1f57390", + "dataset_id": "n9", + "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=feature_4, group_col_2=feature_11.", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_11", + "predicate_col": "feature_1", + "predicate_op": ">=", + "predicate_value": 65.0, + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "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=4", + "sql_variant_index=1/1", + "binding_index=51" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_d64bf21a8efbc3ef.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d64bf21a8efbc3ef", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 560, + "total_tokens": 15596, + "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": 22093.27, + "sql_execution_elapsed_ms_total": 4.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0694c286212f4d640a3e9ff2687887b8c862fd39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:18.987652+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22093.27, "started_at": "2026-05-19T15:41:56.893039+00:00", "ended_at": "2026-05-19T15:42:18.986336+00:00", "prompt_metrics": {"chars": 9703, "bytes_utf8": 9703, "lines": 304, "estimated_tokens": null}, "response_metrics": {"chars": 477, "bytes_utf8": 477, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 12032, "output_tokens": 560, "reasoning_output_tokens": 425}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_11\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_1\\\" AS REAL) >= 65.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_11\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with \\\"feature_4\\\" and \\\"feature_11\\\" as grouping columns, and casts \\\"feature_1\\\" to REAL because the numeric feature columns are stored as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..512fe6c6580f9a75e12710cc62dcdf7470a117a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d64bf21a8efbc3ef", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 12032, + "output_tokens": 560, + "total_tokens": 15596, + "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": 22093.27, + "sql_execution_elapsed_ms_total": 4.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d64bf21a8efbc3ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1de03427d41598240084f94c70b4a34dcdcff90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_8, measure_col=feature_12. +Result preview: [{"feature_8": "0", "group_value": 101445.0}, {"feature_8": "100", "group_value": 36855.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..11160d0e4daa4ed84e5c938f342dd15fd225a592 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_d6ddfc6f63d88a1b +-- problem_id: v2p_n9_787e898de670ace1 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_8", SUM(CAST("feature_12" AS REAL)) AS group_value + FROM "n9" + GROUP BY "feature_8" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."feature_8", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8076114b6d419e5e5b76d16778069b1d7560bdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/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_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_8\", SUM(CAST(\"feature_12\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_8\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_8\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_8\\\", SUM(CAST(\\\"feature_12\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_8\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"feature_8\", \"group_value\"], \"rows\": [{\"feature_8\": \"0\", \"group_value\": 101445.0}, {\"feature_8\": \"100\", \"group_value\": 36855.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.0}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d5748905552ad37517506f203c149459ccccf758 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:47:42.763769+00:00", + "ended_at": "2026-05-19T15:47:55.587659+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d6ddfc6f63d88a1b", + "problem_id": "v2p_n9_787e898de670ace1", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_8, measure_col=feature_12.", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_12", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_d6ddfc6f63d88a1b.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d6ddfc6f63d88a1b", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 634, + "total_tokens": 15710, + "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": 12811.29, + "sql_execution_elapsed_ms_total": 7.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05f956c02bd73219d7491780357fddc00b872891 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:55.578500+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12811.29, "started_at": "2026-05-19T15:47:42.765935+00:00", "ended_at": "2026-05-19T15:47:55.577279+00:00", "prompt_metrics": {"chars": 9947, "bytes_utf8": 9947, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 606, "bytes_utf8": 606, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 634, "reasoning_output_tokens": 464}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_8\\\", SUM(CAST(\\\"feature_12\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_8\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template with group_col=\\\"feature_8\\\" and measure_col=\\\"feature_12\\\". Cast \\\"feature_12\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a3e5ace1895fe806ca3f97cebaab50c24ac9fc2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d6ddfc6f63d88a1b", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 634, + "total_tokens": 15710, + "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": 12811.29, + "sql_execution_elapsed_ms_total": 7.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d6ddfc6f63d88a1b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e389fccde91fd128593e9a80e831a53743cbf545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=class, measure_col=feature_8. +Result preview: [{"class": "9", "avg_measure": 82.9563981042654}, {"class": "1", "avg_measure": 79.8005249343832}, {"class": "3", "avg_measure": 60.58957345971564}, {"class": "7", "avg_measure": 47.467600700525395}, {"class": "2", "avg_measure": 46.04632867132867}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..49b692ef2fbd5eab159085a06ed8768f4bd01359 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n9_d86e59f7cdb11a2b +-- problem_id: v2p_n9_a72f66bf71e5201f +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "class", + AVG(CAST("feature_8" AS REAL)) OVER (PARTITION BY "class") AS avg_measure +FROM "n9" +WHERE "class" IS NOT NULL + AND "feature_8" IS NOT NULL +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..12cf72a276dae117ec48530c01420ccfd5fe774c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"class\",\n AVG(CAST(\"feature_8\" AS REAL)) OVER (PARTITION BY \"class\") AS avg_measure\nFROM \"n9\"\nWHERE \"class\" IS NOT NULL\n AND \"feature_8\" IS NOT NULL\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"class\\\",\\n AVG(CAST(\\\"feature_8\\\" AS REAL)) OVER (PARTITION BY \\\"class\\\") AS avg_measure\\nFROM \\\"n9\\\"\\nWHERE \\\"class\\\" IS NOT NULL\\n AND \\\"feature_8\\\" IS NOT NULL\\nORDER BY avg_measure DESC;\", \"columns\": [\"class\", \"avg_measure\"], \"rows\": [{\"class\": \"9\", \"avg_measure\": 82.9563981042654}, {\"class\": \"1\", \"avg_measure\": 79.8005249343832}, {\"class\": \"3\", \"avg_measure\": 60.58957345971564}, {\"class\": \"7\", \"avg_measure\": 47.467600700525395}, {\"class\": \"2\", \"avg_measure\": 46.04632867132867}, {\"class\": \"4\", \"avg_measure\": 40.47027972027972}, {\"class\": \"5\", \"avg_measure\": 29.355450236966824}, {\"class\": \"6\", \"avg_measure\": 26.928030303030305}, {\"class\": \"8\", \"avg_measure\": 24.221800947867298}, {\"class\": \"0\", \"avg_measure\": 7.293963254593176}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 18.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0a0e021394082925546da587805bc847cff79808 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:08:46.270548+00:00", + "ended_at": "2026-05-19T16:09:02.867168+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d86e59f7cdb11a2b", + "problem_id": "v2p_n9_a72f66bf71e5201f", + "dataset_id": "n9", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 direction_consistency with semantic role filtered_stable_view. Focus on group_col=class, measure_col=feature_8.", + "bindings": { + "group_col": "class", + "measure_col": "feature_8", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 57.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_d86e59f7cdb11a2b.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d86e59f7cdb11a2b", + "api_calls": 0, + "input_tokens": 14947, + "cached_input_tokens": 13696, + "output_tokens": 480, + "total_tokens": 15427, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15573.22, + "sql_execution_elapsed_ms_total": 18.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20a54042618ef2a7e02573730b31707775b1601b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:50.425521+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4152.75, "started_at": "2026-05-19T16:08:46.271903+00:00", "ended_at": "2026-05-19T16:08:50.424676+00:00", "prompt_metrics": {"chars": 9467, "bytes_utf8": 9467, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-30c9-7781-bdb4-e53e88599bc8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:02.847617+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11420.47, "started_at": "2026-05-19T16:08:51.426369+00:00", "ended_at": "2026-05-19T16:09:02.846869+00:00", "prompt_metrics": {"chars": 9467, "bytes_utf8": 9467, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 517, "bytes_utf8": 517, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14947, "cached_input_tokens": 13696, "output_tokens": 480, "reasoning_output_tokens": 349}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"class\\\",\\n AVG(CAST(\\\"feature_8\\\" AS REAL)) OVER (PARTITION BY \\\"class\\\") AS avg_measure\\nFROM \\\"n9\\\"\\nWHERE \\\"class\\\" IS NOT NULL\\n AND \\\"feature_8\\\" IS NOT NULL\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the required Window Partition Average template with group_col bound to \\\"class\\\" and measure_col bound to \\\"feature_8\\\". CAST is applied because the schema stores features as TEXT, and NULL filtering provides a stable grouped view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6f90372a0eef9b0223a2bb09f65149d70031b201 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d86e59f7cdb11a2b", + "api_calls": 0, + "input_tokens": 14947, + "cached_input_tokens": 13696, + "output_tokens": 480, + "total_tokens": 15427, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15573.22, + "sql_execution_elapsed_ms_total": 18.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d86e59f7cdb11a2b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..342f6acfd44d0ba22bf804265d262ed6c129ea4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=class, measure_col=feature_5. +Result preview: [{"class": "1", "percentile_measure": 100.0}, {"class": "2", "percentile_measure": 100.0}, {"class": "3", "percentile_measure": 100.0}, {"class": "5", "percentile_measure": 100.0}, {"class": "7", "percentile_measure": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aa811ce2cae1fb5f8e94b19310be93180169f25d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/generated_sql.sql @@ -0,0 +1,45 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_d916104f5c417d43 +-- problem_id: v2p_n9_18e44b5c3caecf62 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "class", + CAST("feature_5" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "class" + ORDER BY CAST("feature_5" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "class" + ) AS "cnt" + FROM "n9" + WHERE "class" IS NOT NULL + AND "feature_5" IS NOT NULL +), +"percentile_points" AS ( + SELECT + "class", + "measure_value" AS "percentile_measure", + ROW_NUMBER() OVER ( + PARTITION BY "class" + ORDER BY "rn" + ) AS "pick_rn" + FROM "ranked" + WHERE "rn" >= CAST(((95 * "cnt") + 99) / 100 AS INTEGER) +) +SELECT + "class", + "percentile_measure" +FROM "percentile_points" +WHERE "pick_rn" = 1 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..855879db5c04a20fac5d8342624752751aa6a9ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/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_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"class\",\n CAST(\"feature_5\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"class\"\n ORDER BY CAST(\"feature_5\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"class\"\n ) AS \"cnt\"\n FROM \"n9\"\n WHERE \"class\" IS NOT NULL\n AND \"feature_5\" IS NOT NULL\n),\n\"percentile_points\" AS (\n SELECT\n \"class\",\n \"measure_value\" AS \"percentile_measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"class\"\n ORDER BY \"rn\"\n ) AS \"pick_rn\"\n FROM \"ranked\"\n WHERE \"rn\" >= CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER)\n)\nSELECT\n \"class\",\n \"percentile_measure\"\nFROM \"percentile_points\"\nWHERE \"pick_rn\" = 1\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"class\\\",\\n CAST(\\\"feature_5\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"class\\\"\\n ORDER BY CAST(\\\"feature_5\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"class\\\" IS NOT NULL\\n AND \\\"feature_5\\\" IS NOT NULL\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"class\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"class\\\"\\n ORDER BY \\\"rn\\\"\\n ) AS \\\"pick_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" >= CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER)\\n)\\nSELECT\\n \\\"class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nWHERE \\\"pick_rn\\\" = 1\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"class\", \"percentile_measure\"], \"rows\": [{\"class\": \"1\", \"percentile_measure\": 100.0}, {\"class\": \"2\", \"percentile_measure\": 100.0}, {\"class\": \"3\", \"percentile_measure\": 100.0}, {\"class\": \"5\", \"percentile_measure\": 100.0}, {\"class\": \"7\", \"percentile_measure\": 100.0}, {\"class\": \"8\", \"percentile_measure\": 100.0}, {\"class\": \"9\", \"percentile_measure\": 100.0}, {\"class\": \"0\", \"percentile_measure\": 50.0}, {\"class\": \"6\", \"percentile_measure\": 46.0}, {\"class\": \"4\", \"percentile_measure\": 31.0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 53.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f951cabc1ee75fa166b38e09d78b5f7b27ef6ffa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:50:38.263005+00:00", + "ended_at": "2026-05-19T15:50:56.685816+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_d916104f5c417d43", + "problem_id": "v2p_n9_18e44b5c3caecf62", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=class, measure_col=feature_5.", + "bindings": { + "group_col": "class", + "measure_col": "feature_5", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 78.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_d916104f5c417d43.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d916104f5c417d43", + "api_calls": 0, + "input_tokens": 14974, + "cached_input_tokens": 13696, + "output_tokens": 831, + "total_tokens": 15805, + "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": 18364.22, + "sql_execution_elapsed_ms_total": 53.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..09a1eb749d0e26d9f93cf9ec316ece95211d51ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:56.629829+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18364.22, "started_at": "2026-05-19T15:50:38.264449+00:00", "ended_at": "2026-05-19T15:50:56.628691+00:00", "prompt_metrics": {"chars": 9560, "bytes_utf8": 9560, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1043, "bytes_utf8": 1043, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14974, "cached_input_tokens": 13696, "output_tokens": 831, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"class\\\",\\n CAST(\\\"feature_5\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"class\\\"\\n ORDER BY CAST(\\\"feature_5\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"class\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"class\\\" IS NOT NULL\\n AND \\\"feature_5\\\" IS NOT NULL\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"class\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"class\\\"\\n ORDER BY \\\"rn\\\"\\n ) AS \\\"pick_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" >= CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER)\\n)\\nSELECT\\n \\\"class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nWHERE \\\"pick_rn\\\" = 1\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile per \\\"class\\\" via window functions, ordering \\\"fea"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..67c74f289258610c4c3d0df64abc7c9c1a7c92d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_d916104f5c417d43", + "api_calls": 0, + "input_tokens": 14974, + "cached_input_tokens": 13696, + "output_tokens": 831, + "total_tokens": 15805, + "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": 18364.22, + "sql_execution_elapsed_ms_total": 53.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_d916104f5c417d43/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f061c1a705dfac9e522de3c272bc51309e791f04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_7, measure_col=feature_7. +Result preview: [{"feature_7": "100", "total_measure": 89900.0}, {"feature_7": "68", "total_measure": 10540.0}, {"feature_7": "70", "total_measure": 9940.0}, {"feature_7": "72", "total_measure": 9576.0}, {"feature_7": "74", "total_measure": 9398.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2038cd3180047cb87d6d35045c9bed23d323756d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_daceb7717246fb73 +-- problem_id: v2p_n9_c962513f809f95f9 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_7", SUM(CAST("feature_7" AS REAL)) AS total_measure +FROM "n9" +GROUP BY "feature_7" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..711ff49e5cf582c59af083a9b23088cf8c4fa480 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/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_h2o_group_sum\nSELECT \"feature_7\", SUM(CAST(\"feature_7\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_7\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_7\\\", SUM(CAST(\\\"feature_7\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_7\", \"total_measure\"], \"rows\": [{\"feature_7\": \"100\", \"total_measure\": 89900.0}, {\"feature_7\": \"68\", \"total_measure\": 10540.0}, {\"feature_7\": \"70\", \"total_measure\": 9940.0}, {\"feature_7\": \"72\", \"total_measure\": 9576.0}, {\"feature_7\": \"74\", \"total_measure\": 9398.0}, {\"feature_7\": \"69\", \"total_measure\": 9384.0}, {\"feature_7\": \"67\", \"total_measure\": 9313.0}, {\"feature_7\": \"66\", \"total_measure\": 8778.0}, {\"feature_7\": \"61\", \"total_measure\": 8662.0}, {\"feature_7\": \"73\", \"total_measure\": 8614.0}, {\"feature_7\": \"62\", \"total_measure\": 8556.0}, {\"feature_7\": \"65\", \"total_measure\": 8515.0}, {\"feature_7\": \"75\", \"total_measure\": 8400.0}, {\"feature_7\": \"77\", \"total_measure\": 8393.0}, {\"feature_7\": \"71\", \"total_measure\": 8307.0}, {\"feature_7\": \"79\", \"total_measure\": 8137.0}, {\"feature_7\": \"56\", \"total_measure\": 8120.0}, {\"feature_7\": \"57\", \"total_measure\": 7923.0}, {\"feature_7\": \"76\", \"total_measure\": 7904.0}, {\"feature_7\": \"63\", \"total_measure\": 7875.0}, {\"feature_7\": \"81\", \"total_measure\": 7695.0}, {\"feature_7\": \"78\", \"total_measure\": 7566.0}, {\"feature_7\": \"59\", \"total_measure\": 7493.0}, {\"feature_7\": \"60\", \"total_measure\": 7440.0}, {\"feature_7\": \"55\", \"total_measure\": 7370.0}, {\"feature_7\": \"53\", \"total_measure\": 7367.0}, {\"feature_7\": \"88\", \"total_measure\": 7304.0}, {\"feature_7\": \"54\", \"total_measure\": 7290.0}, {\"feature_7\": \"64\", \"total_measure\": 7232.0}, {\"feature_7\": \"85\", \"total_measure\": 7055.0}, {\"feature_7\": \"51\", \"total_measure\": 6834.0}, {\"feature_7\": \"58\", \"total_measure\": 6786.0}, {\"feature_7\": \"80\", \"total_measure\": 6720.0}, {\"feature_7\": \"82\", \"total_measure\": 6642.0}, {\"feature_7\": \"84\", \"total_measure\": 6636.0}, {\"feature_7\": \"52\", \"total_measure\": 6552.0}, {\"feature_7\": \"50\", \"total_measure\": 6400.0}, {\"feature_7\": \"83\", \"total_measure\": 6391.0}, {\"feature_7\": \"89\", \"total_measure\": 5963.0}, {\"feature_7\": \"87\", \"total_measure\": 5916.0}, {\"feature_7\": \"91\", \"total_measure\": 5824.0}, {\"feature_7\": \"86\", \"total_measure\": 5762.0}, {\"feature_7\": \"93\", \"total_measure\": 5673.0}, {\"feature_7\": \"95\", \"total_measure\": 5415.0}, {\"feature_7\": \"49\", \"total_measure\": 5390.0}, {\"feature_7\": \"45\", \"total_measure\": 5265.0}, {\"feature_7\": \"94\", \"total_measure\": 5264.0}, {\"feature_7\": \"47\", \"total_measure\": 5217.0}, {\"feature_7\": \"46\", \"total_measure\": 5198.0}, {\"feature_7\": \"41\", \"total_measure\": 5084.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..32ae6b2471a96ed8673f392c79132484ceb14968 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:30:36.828915+00:00", + "ended_at": "2026-05-19T15:30:55.461185+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_daceb7717246fb73", + "problem_id": "v2p_n9_c962513f809f95f9", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_7, measure_col=feature_7.", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_7", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_daceb7717246fb73.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_daceb7717246fb73", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 13696, + "output_tokens": 369, + "total_tokens": 15309, + "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": 18613.23, + "sql_execution_elapsed_ms_total": 12.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b8cd534f49b475c112405dc4295c4c43557f916 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:55.446153+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18613.23, "started_at": "2026-05-19T15:30:36.831255+00:00", "ended_at": "2026-05-19T15:30:55.444528+00:00", "prompt_metrics": {"chars": 9389, "bytes_utf8": 9389, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 356, "bytes_utf8": 356, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 13696, "output_tokens": 369, "reasoning_output_tokens": 268}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_7\\\", SUM(CAST(\\\"feature_7\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_7\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the required Grouped Numeric Sum template with group_col=feature_7 and measure_col=feature_7. CAST is applied because the column is stored as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c270022adc804651e0935b88f2e9945ff0dded6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_daceb7717246fb73", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 13696, + "output_tokens": 369, + "total_tokens": 15309, + "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": 18613.23, + "sql_execution_elapsed_ms_total": 12.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_daceb7717246fb73/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7062510315d03e8da4c9f003e1c3461df2dc826b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_8. +Result preview: [{"feature_3": "21", "percentile_measure": 100.0}, {"feature_3": "24", "percentile_measure": 100.0}, {"feature_3": "26", "percentile_measure": 100.0}, {"feature_3": "29", "percentile_measure": 100.0}, {"feature_3": "30", "percentile_measure": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..050cc0e132b14a250b3e688ab50c772552d817ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/generated_sql.sql @@ -0,0 +1,68 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_dfa9a6f1954c3b7e +-- problem_id: v2p_n9_20d3e6b3e42a8672 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "feature_3" AS "feature_3", + CAST("feature_8" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "feature_3" + ORDER BY CAST("feature_8" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "feature_3" + ) AS "n" + FROM "n9" + WHERE "feature_3" IS NOT NULL + AND "feature_8" IS NOT NULL +), +"eligible" AS ( + SELECT DISTINCT + "feature_3", + "n", + (1.0 + 0.9 * ("n" - 1)) AS "target_rn", + CAST((1.0 + 0.9 * ("n" - 1)) AS INTEGER) AS "frn", + CASE + WHEN (1.0 + 0.9 * ("n" - 1)) = CAST((1.0 + 0.9 * ("n" - 1)) AS INTEGER) + THEN CAST((1.0 + 0.9 * ("n" - 1)) AS INTEGER) + ELSE CAST((1.0 + 0.9 * ("n" - 1)) AS INTEGER) + 1 + END AS "crn" + FROM "ordered" + WHERE "n" >= 5 +), +"picked" AS ( + SELECT + o."feature_3", + e."target_rn", + e."frn", + e."crn", + MAX(CASE WHEN o."rn" = e."frn" THEN o."measure_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = e."crn" THEN o."measure_value" END) AS "upper_value" + FROM "ordered" AS o + INNER JOIN "eligible" AS e + ON o."feature_3" = e."feature_3" + GROUP BY + o."feature_3", + e."target_rn", + e."frn", + e."crn" +) +SELECT + "feature_3", + CASE + WHEN "frn" = "crn" THEN "lower_value" + ELSE "lower_value" + ("target_rn" - "frn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..041e32a0a9f90e7441e2adee28521f3b378809e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/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_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_3\" AS \"feature_3\",\n CAST(\"feature_8\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_3\"\n ORDER BY CAST(\"feature_8\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_3\"\n ) AS \"n\"\n FROM \"n9\"\n WHERE \"feature_3\" IS NOT NULL\n AND \"feature_8\" IS NOT NULL\n),\n\"eligible\" AS (\n SELECT DISTINCT\n \"feature_3\",\n \"n\",\n (1.0 + 0.9 * (\"n\" - 1)) AS \"target_rn\",\n CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER) AS \"frn\",\n CASE\n WHEN (1.0 + 0.9 * (\"n\" - 1)) = CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER)\n THEN CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.9 * (\"n\" - 1)) AS INTEGER) + 1\n END AS \"crn\"\n FROM \"ordered\"\n WHERE \"n\" >= 5\n),\n\"picked\" AS (\n SELECT\n o.\"feature_3\",\n e.\"target_rn\",\n e.\"frn\",\n e.\"crn\",\n MAX(CASE WHEN o.\"rn\" = e.\"frn\" THEN o.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = e.\"crn\" THEN o.\"measure_value\" END) AS \"upper_value\"\n FROM \"ordered\" AS o\n INNER JOIN \"eligible\" AS e\n ON o.\"feature_3\" = e.\"feature_3\"\n GROUP BY\n o.\"feature_3\",\n e.\"target_rn\",\n e.\"frn\",\n e.\"crn\"\n)\nSELECT\n \"feature_3\",\n CASE\n WHEN \"frn\" = \"crn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"target_rn\" - \"frn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_3\\\" AS \\\"feature_3\\\",\\n CAST(\\\"feature_8\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ORDER BY CAST(\\\"feature_8\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_3\\\" IS NOT NULL\\n AND \\\"feature_8\\\" IS NOT NULL\\n),\\n\\\"eligible\\\" AS (\\n SELECT DISTINCT\\n \\\"feature_3\\\",\\n \\\"n\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"target_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"frn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"n\\\" - 1)) = CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"crn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"feature_3\\\",\\n e.\\\"target_rn\\\",\\n e.\\\"frn\\\",\\n e.\\\"crn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = e.\\\"frn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = e.\\\"crn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS o\\n INNER JOIN \\\"eligible\\\" AS e\\n ON o.\\\"feature_3\\\" = e.\\\"feature_3\\\"\\n GROUP BY\\n o.\\\"feature_3\\\",\\n e.\\\"target_rn\\\",\\n e.\\\"frn\\\",\\n e.\\\"crn\\\"\\n)\\nSELECT\\n \\\"feature_3\\\",\\n CASE\\n WHEN \\\"frn\\\" = \\\"crn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"target_rn\\\" - \\\"frn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 12;\", \"columns\": [\"feature_3\", \"percentile_measure\"], \"rows\": [{\"feature_3\": \"21\", \"percentile_measure\": 100.0}, {\"feature_3\": \"24\", \"percentile_measure\": 100.0}, {\"feature_3\": \"26\", \"percentile_measure\": 100.0}, {\"feature_3\": \"29\", \"percentile_measure\": 100.0}, {\"feature_3\": \"30\", \"percentile_measure\": 100.0}, {\"feature_3\": \"31\", \"percentile_measure\": 100.0}, {\"feature_3\": \"32\", \"percentile_measure\": 100.0}, {\"feature_3\": \"33\", \"percentile_measure\": 100.0}, {\"feature_3\": \"34\", \"percentile_measure\": 100.0}, {\"feature_3\": \"35\", \"percentile_measure\": 100.0}, {\"feature_3\": \"36\", \"percentile_measure\": 100.0}, {\"feature_3\": \"37\", \"percentile_measure\": 100.0}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 51.43}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f55a53988b53523544055a5afa6107e87dc80717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:52:36.191606+00:00", + "ended_at": "2026-05-19T15:53:23.948210+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_dfa9a6f1954c3b7e", + "problem_id": "v2p_n9_20d3e6b3e42a8672", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "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 Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_3, measure_col=feature_8.", + "bindings": { + "group_col": "feature_3", + "measure_col": "feature_8", + "top_k": 12, + "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": 64.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_dfa9a6f1954c3b7e.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_dfa9a6f1954c3b7e", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 3264, + "total_tokens": 18242, + "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": 47701.21, + "sql_execution_elapsed_ms_total": 51.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b82522a0a99fc2939b355f06534eab24ab2694c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:53:23.895149+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 47701.21, "started_at": "2026-05-19T15:52:36.192932+00:00", "ended_at": "2026-05-19T15:53:23.894170+00:00", "prompt_metrics": {"chars": 9566, "bytes_utf8": 9566, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1955, "bytes_utf8": 1955, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 3264, "reasoning_output_tokens": 2588}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_3\\\" AS \\\"feature_3\\\",\\n CAST(\\\"feature_8\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ORDER BY CAST(\\\"feature_8\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_3\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_3\\\" IS NOT NULL\\n AND \\\"feature_8\\\" IS NOT NULL\\n),\\n\\\"eligible\\\" AS (\\n SELECT DISTINCT\\n \\\"feature_3\\\",\\n \\\"n\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"target_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) AS \\\"frn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"n\\\" - 1)) = CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.9 * (\\\"n\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"crn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"feature_3\\\",\\n e.\\\"target_rn\\\",\\n e.\\\"frn\\\",\\n "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0cd959afc3556aa87b17082722315ddff4b7b680 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_dfa9a6f1954c3b7e", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 3264, + "total_tokens": 18242, + "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": 47701.21, + "sql_execution_elapsed_ms_total": 51.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfa9a6f1954c3b7e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..48a177481328303dda831a294befc75dbabe7930 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_4, condition_col=class. +Result preview: [{"feature_4": "100", "condition_ratio": 20.352941176470587}, {"feature_4": "98", "condition_ratio": 5.666666666666667}, {"feature_4": "99", "condition_ratio": 2.0}, {"feature_4": "94", "condition_ratio": 0.7777777777777778}, {"feature_4": "93", "condition_ratio": 0.7647058823529411}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b524ab64f4c81fc51b2418b4210429a83d9b50f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n9_dfc49103d5d0e0cf +-- problem_id: v2p_n9_fbe5168fa549f985 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_4", + SUM(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS denominator_count + FROM "n9" + GROUP BY "feature_4" +) +SELECT "feature_4", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b290a27e2466c17805ddbe081e33f77d764c790 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/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_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"feature_4\",\n SUM(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n9\"\n GROUP BY \"feature_4\"\n)\nSELECT \"feature_4\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_4\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_4\\\"\\n)\\nSELECT \\\"feature_4\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"feature_4\", \"condition_ratio\"], \"rows\": [{\"feature_4\": \"100\", \"condition_ratio\": 20.352941176470587}, {\"feature_4\": \"98\", \"condition_ratio\": 5.666666666666667}, {\"feature_4\": \"99\", \"condition_ratio\": 2.0}, {\"feature_4\": \"94\", \"condition_ratio\": 0.7777777777777778}, {\"feature_4\": \"93\", \"condition_ratio\": 0.7647058823529411}, {\"feature_4\": \"97\", \"condition_ratio\": 0.7272727272727273}, {\"feature_4\": \"96\", \"condition_ratio\": 0.6153846153846154}, {\"feature_4\": \"95\", \"condition_ratio\": 0.5}, {\"feature_4\": \"92\", \"condition_ratio\": 0.4}, {\"feature_4\": \"90\", \"condition_ratio\": 0.3888888888888889}, {\"feature_4\": \"89\", \"condition_ratio\": 0.375}, {\"feature_4\": \"91\", \"condition_ratio\": 0.3076923076923077}, {\"feature_4\": \"88\", \"condition_ratio\": 0.17647058823529413}, {\"feature_4\": \"66\", \"condition_ratio\": 0.08333333333333333}, {\"feature_4\": \"85\", \"condition_ratio\": 0.08333333333333333}, {\"feature_4\": \"86\", \"condition_ratio\": 0.04}, {\"feature_4\": \"87\", \"condition_ratio\": 0.03225806451612903}, {\"feature_4\": \"83\", \"condition_ratio\": 0.023809523809523808}, {\"feature_4\": \"80\", \"condition_ratio\": 0.022727272727272728}, {\"feature_4\": \"77\", \"condition_ratio\": 0.02127659574468085}, {\"feature_4\": \"84\", \"condition_ratio\": 0.02127659574468085}, {\"feature_4\": \"82\", \"condition_ratio\": 0.019230769230769232}, {\"feature_4\": \"50\", \"condition_ratio\": 0.0}, {\"feature_4\": \"54\", \"condition_ratio\": 0.0}, {\"feature_4\": \"56\", \"condition_ratio\": 0.0}, {\"feature_4\": \"57\", \"condition_ratio\": 0.0}, {\"feature_4\": \"58\", \"condition_ratio\": 0.0}, {\"feature_4\": \"59\", \"condition_ratio\": 0.0}, {\"feature_4\": \"60\", \"condition_ratio\": 0.0}, {\"feature_4\": \"61\", \"condition_ratio\": 0.0}, {\"feature_4\": \"62\", \"condition_ratio\": 0.0}, {\"feature_4\": \"63\", \"condition_ratio\": 0.0}, {\"feature_4\": \"64\", \"condition_ratio\": 0.0}, {\"feature_4\": \"65\", \"condition_ratio\": 0.0}, {\"feature_4\": \"67\", \"condition_ratio\": 0.0}, {\"feature_4\": \"68\", \"condition_ratio\": 0.0}, {\"feature_4\": \"69\", \"condition_ratio\": 0.0}, {\"feature_4\": \"70\", \"condition_ratio\": 0.0}, {\"feature_4\": \"71\", \"condition_ratio\": 0.0}, {\"feature_4\": \"72\", \"condition_ratio\": 0.0}, {\"feature_4\": \"73\", \"condition_ratio\": 0.0}, {\"feature_4\": \"74\", \"condition_ratio\": 0.0}, {\"feature_4\": \"75\", \"condition_ratio\": 0.0}, {\"feature_4\": \"76\", \"condition_ratio\": 0.0}, {\"feature_4\": \"78\", \"condition_ratio\": 0.0}, {\"feature_4\": \"79\", \"condition_ratio\": 0.0}, {\"feature_4\": \"81\", \"condition_ratio\": 0.0}, {\"feature_4\": \"0\", \"condition_ratio\": null}, {\"feature_4\": \"10\", \"condition_ratio\": null}, {\"feature_4\": \"11\", \"condition_ratio\": null}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8321376b6872deba7933a4ff80d7f641dc43a227 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:39:50.530323+00:00", + "ended_at": "2026-05-19T15:40:01.901490+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_dfc49103d5d0e0cf", + "problem_id": "v2p_n9_fbe5168fa549f985", + "dataset_id": "n9", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=feature_4, condition_col=class.", + "bindings": { + "group_col": "feature_4", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 12, + "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": 86.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=37" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_dfc49103d5d0e0cf.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_dfc49103d5d0e0cf", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 604, + "total_tokens": 15749, + "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": 11356.85, + "sql_execution_elapsed_ms_total": 9.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec75b6cfbeb681b1426a17a86c49d8e007718928 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:01.890189+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11356.85, "started_at": "2026-05-19T15:39:50.531541+00:00", "ended_at": "2026-05-19T15:40:01.888423+00:00", "prompt_metrics": {"chars": 10186, "bytes_utf8": 10186, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 627, "bytes_utf8": 627, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15145, "cached_input_tokens": 13696, "output_tokens": 604, "reasoning_output_tokens": 422}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"feature_4\\\",\\n SUM(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_4\\\"\\n)\\nSELECT \\\"feature_4\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped by \\\"feature_4\\\" and computed the ratio of rows where \\\"class\\\" = '2' to rows where \\\"class\\\" = '4'. NULLIF prevents division by zero.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3a6c0b44fcd04434b0ed84ff5d9ab30898f61377 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_dfc49103d5d0e0cf", + "api_calls": 0, + "input_tokens": 15145, + "cached_input_tokens": 13696, + "output_tokens": 604, + "total_tokens": 15749, + "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": 11356.85, + "sql_execution_elapsed_ms_total": 9.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_dfc49103d5d0e0cf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..22fa0ecd026e921fa0d8cc651649e9b1f0db82c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:02:37.428686+00:00", + "ended_at": "2026-05-19T16:02:44.843523+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_e0da7089da8b1ad2", + "problem_id": "v2p_n9_9c9cb70e8cf98a3c", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_16, condition_col=class.", + "bindings": { + "group_col": "feature_16", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 78.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d95192b7eb3aa1c0a538354688c613a41d72824b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e0da7089da8b1ad2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:40.786109+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3354.31, "started_at": "2026-05-19T16:02:37.431048+00:00", "ended_at": "2026-05-19T16:02:40.785387+00:00", "prompt_metrics": {"chars": 9630, "bytes_utf8": 9630, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-900d-78c3-adbf-29bd8f35ec47\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:02:44.843435+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3055.11, "started_at": "2026-05-19T16:02:41.787570+00:00", "ended_at": "2026-05-19T16:02:44.842726+00:00", "prompt_metrics": {"chars": 9630, "bytes_utf8": 9630, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-a10e-7463-b566-55f0a9b6bfa1\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3028d09050ee38479cfa60e3bbd14875d490f7eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:08:10.487371+00:00", + "ended_at": "2026-05-19T16:08:17.720581+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_e1a4a2fb5f700cc9", + "problem_id": "v2p_n9_b47635ee304dfddb", + "dataset_id": "n9", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=feature_15, measure_col=feature_6.", + "bindings": { + "group_col": "feature_15", + "measure_col": "feature_6", + "top_k": 13, + "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": 86.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d2c352ab7529adfbd234bab408cca5aab6f32d83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1a4a2fb5f700cc9/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:13.791362+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3301.9, "started_at": "2026-05-19T16:08:10.488725+00:00", "ended_at": "2026-05-19T16:08:13.790651+00:00", "prompt_metrics": {"chars": 9472, "bytes_utf8": 9472, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-a4e1-7a63-b424-016a7e54feaf\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:17.720497+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2927.58, "started_at": "2026-05-19T16:08:14.792203+00:00", "ended_at": "2026-05-19T16:08:17.719810+00:00", "prompt_metrics": {"chars": 9472, "bytes_utf8": 9472, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-b5f4-7572-ab43-44c16adb597c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c328daeaf5e4c59ceabe33070965f423acb3113 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_13, measure_col=feature_14. +Result preview: [{"feature_13": "50", "feature_15": "100", "total_measure": 4740.0, "share_within_group": 60.09127789046653}, {"feature_13": "42", "feature_15": "100", "total_measure": 3739.0, "share_within_group": 60.05460970125281}, {"feature_13": "46", "feature_15": "100", "total_measure": 3660.0, "share_within_group": 58.64444800512738}, {"feature_13": "41", "feature_15": "100", "total_measure": 4099.0, "share_within_group": 58.018400566171266}, {"feature_13": "35", "feature_15": "100", "total_measure": 2773.0, "share_within_group": 56.29313844904588}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..13745f7f08bd8a810ec9ca0bb9d29b4e30be4085 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_e1d9a6bafe125200 +-- problem_id: v2p_n9_b521ef087718ecc4 +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_13", + "feature_15", + SUM(CAST("feature_14" AS REAL)) AS total_measure, + SUM(CAST("feature_14" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_14" AS REAL))) OVER (PARTITION BY "feature_13") AS share_within_group +FROM "n9" +GROUP BY "feature_13", "feature_15" +ORDER BY share_within_group DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01a84b504999703ba857b1503ff9ddf2a66054d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/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_tpcds_within_group_share\nSELECT\n \"feature_13\",\n \"feature_15\",\n SUM(CAST(\"feature_14\" AS REAL)) AS total_measure,\n SUM(CAST(\"feature_14\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_14\" AS REAL))) OVER (PARTITION BY \"feature_13\") AS share_within_group\nFROM \"n9\"\nGROUP BY \"feature_13\", \"feature_15\"\nORDER BY share_within_group DESC\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_13\\\",\\n \\\"feature_15\\\",\\n SUM(CAST(\\\"feature_14\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_14\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_14\\\" AS REAL))) OVER (PARTITION BY \\\"feature_13\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_13\\\", \\\"feature_15\\\"\\nORDER BY share_within_group DESC\\nLIMIT 19;\", \"columns\": [\"feature_13\", \"feature_15\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_13\": \"50\", \"feature_15\": \"100\", \"total_measure\": 4740.0, \"share_within_group\": 60.09127789046653}, {\"feature_13\": \"42\", \"feature_15\": \"100\", \"total_measure\": 3739.0, \"share_within_group\": 60.05460970125281}, {\"feature_13\": \"46\", \"feature_15\": \"100\", \"total_measure\": 3660.0, \"share_within_group\": 58.64444800512738}, {\"feature_13\": \"41\", \"feature_15\": \"100\", \"total_measure\": 4099.0, \"share_within_group\": 58.018400566171266}, {\"feature_13\": \"35\", \"feature_15\": \"100\", \"total_measure\": 2773.0, \"share_within_group\": 56.29313844904588}, {\"feature_13\": \"49\", \"feature_15\": \"100\", \"total_measure\": 4267.0, \"share_within_group\": 55.065169699316044}, {\"feature_13\": \"44\", \"feature_15\": \"100\", \"total_measure\": 3402.0, \"share_within_group\": 53.92296718972896}, {\"feature_13\": \"39\", \"feature_15\": \"100\", \"total_measure\": 2678.0, \"share_within_group\": 52.758077226162335}, {\"feature_13\": \"45\", \"feature_15\": \"100\", \"total_measure\": 4094.0, \"share_within_group\": 51.529263687854}, {\"feature_13\": \"31\", \"feature_15\": \"100\", \"total_measure\": 1716.0, \"share_within_group\": 51.14754098360656}, {\"feature_13\": \"38\", \"feature_15\": \"100\", \"total_measure\": 2554.0, \"share_within_group\": 50.694720127034536}, {\"feature_13\": \"10\", \"feature_15\": \"0\", \"total_measure\": 347.0, \"share_within_group\": 50.509461426491995}, {\"feature_13\": \"33\", \"feature_15\": \"100\", \"total_measure\": 1805.0, \"share_within_group\": 49.330418147034706}, {\"feature_13\": \"16\", \"feature_15\": \"100\", \"total_measure\": 676.0, \"share_within_group\": 48.808664259927795}, {\"feature_13\": \"43\", \"feature_15\": \"100\", \"total_measure\": 2778.0, \"share_within_group\": 47.9048111743404}, {\"feature_13\": \"40\", \"feature_15\": \"100\", \"total_measure\": 2671.0, \"share_within_group\": 47.2659706246682}, {\"feature_13\": \"29\", \"feature_15\": \"100\", \"total_measure\": 1819.0, \"share_within_group\": 47.12435233160622}, {\"feature_13\": \"51\", \"feature_15\": \"100\", \"total_measure\": 3558.0, \"share_within_group\": 46.85894903200316}, {\"feature_13\": \"47\", \"feature_15\": \"100\", \"total_measure\": 2379.0, \"share_within_group\": 46.43763419871169}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 37.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fed6b01a40a33c796cf212992bfd8f3dae6ec56c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:37:04.921072+00:00", + "ended_at": "2026-05-19T15:37:18.579098+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_e1d9a6bafe125200", + "problem_id": "v2p_n9_b521ef087718ecc4", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_13, measure_col=feature_14.", + "bindings": { + "group_col": "feature_13", + "measure_col": "feature_14", + "item_col": "feature_15", + "top_k": 19, + "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": 36.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_e1d9a6bafe125200.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e1d9a6bafe125200", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 730, + "total_tokens": 15790, + "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": 13611.9, + "sql_execution_elapsed_ms_total": 37.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..69b5b97ead77ec8719b847cebcbf444ed7a8e5f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:18.536946+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13611.9, "started_at": "2026-05-19T15:37:04.922849+00:00", "ended_at": "2026-05-19T15:37:18.534792+00:00", "prompt_metrics": {"chars": 9807, "bytes_utf8": 9807, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 769, "bytes_utf8": 769, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15060, "cached_input_tokens": 12032, "output_tokens": 730, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"feature_13\\\",\\n \\\"feature_15\\\",\\n SUM(CAST(\\\"feature_14\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"feature_14\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_14\\\" AS REAL))) OVER (PARTITION BY \\\"feature_13\\\") AS share_within_group\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_13\\\", \\\"feature_15\\\"\\nORDER BY share_within_group DESC\\nLIMIT 19;\",\"notes\":\"Applied the requested Within-Group Share of Total template with group_col=\\\"feature_13\\\", item_col=\\\"feature_15\\\", and measure_col=\\\"feature_14\\\". CAST to REAL is used because the schema stores these fields as TEXT. Added LIMIT 19 from the provided top_k binding; other extra bindings were not used because they are not part of this template's runtime skeleton.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..088262c1031254fbcadb9894dc60c8b354b34085 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e1d9a6bafe125200", + "api_calls": 0, + "input_tokens": 15060, + "cached_input_tokens": 12032, + "output_tokens": 730, + "total_tokens": 15790, + "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": 13611.9, + "sql_execution_elapsed_ms_total": 37.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e1d9a6bafe125200/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2aa67b89a7a2db670d1ac73df35c83761a62df11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=class, measure_col=feature_8. +Result preview: [{"class": "9", "avg_measure": 82.9563981042654}, {"class": "1", "avg_measure": 79.8005249343832}, {"class": "3", "avg_measure": 60.58957345971564}, {"class": "7", "avg_measure": 47.467600700525395}, {"class": "2", "avg_measure": 46.04632867132867}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4ab18ea617b2b9f74a77a167ca51988fd65c9c7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_n9_e20292875979cc05 +-- problem_id: v2p_n9_54ae026af1feb860 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "class", + AVG(CAST("feature_8" AS REAL)) OVER (PARTITION BY "class") AS avg_measure +FROM "n9" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..546d3a0f3f327ebd9607aa83e580defd0b229d79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/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 \"class\",\n AVG(CAST(\"feature_8\" AS REAL)) OVER (PARTITION BY \"class\") AS avg_measure\nFROM \"n9\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"class\\\",\\n AVG(CAST(\\\"feature_8\\\" AS REAL)) OVER (PARTITION BY \\\"class\\\") AS avg_measure\\nFROM \\\"n9\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"class\", \"avg_measure\"], \"rows\": [{\"class\": \"9\", \"avg_measure\": 82.9563981042654}, {\"class\": \"1\", \"avg_measure\": 79.8005249343832}, {\"class\": \"3\", \"avg_measure\": 60.58957345971564}, {\"class\": \"7\", \"avg_measure\": 47.467600700525395}, {\"class\": \"2\", \"avg_measure\": 46.04632867132867}, {\"class\": \"4\", \"avg_measure\": 40.47027972027972}, {\"class\": \"5\", \"avg_measure\": 29.355450236966824}, {\"class\": \"6\", \"avg_measure\": 26.928030303030305}, {\"class\": \"8\", \"avg_measure\": 24.221800947867298}, {\"class\": \"0\", \"avg_measure\": 7.293963254593176}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 25.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..02bba5490411d5a7b20e0ddbab194afcef758323 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:08:38.539282+00:00", + "ended_at": "2026-05-19T16:08:46.269803+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_e20292875979cc05", + "problem_id": "v2p_n9_54ae026af1feb860", + "dataset_id": "n9", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 direction_consistency with semantic role ranked_signal_view. Focus on group_col=class, measure_col=feature_8.", + "bindings": { + "group_col": "class", + "measure_col": "feature_8", + "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": 64.0, + "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_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_e20292875979cc05.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e20292875979cc05", + "api_calls": 0, + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 247, + "total_tokens": 15193, + "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": 7700.23, + "sql_execution_elapsed_ms_total": 25.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..54dda8a75721d51d4ade284d0a2d67e66cc7ad18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:08:46.242076+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7700.23, "started_at": "2026-05-19T16:08:38.540820+00:00", "ended_at": "2026-05-19T16:08:46.241078+00:00", "prompt_metrics": {"chars": 9462, "bytes_utf8": 9462, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 440, "bytes_utf8": 440, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14946, "cached_input_tokens": 12032, "output_tokens": 247, "reasoning_output_tokens": 134}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"class\\\",\\n AVG(CAST(\\\"feature_8\\\" AS REAL)) OVER (PARTITION BY \\\"class\\\") AS avg_measure\\nFROM \\\"n9\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the provided Window Partition Average template with group_col=\\\"class\\\" and measure_col=\\\"feature_8\\\". Cast \\\"feature_8\\\" to REAL because the schema stores it as TEXT, and AVG should operate numerically in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..23b2761d1aba21c4d7e1d6ed7122e7683c4f3042 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e20292875979cc05", + "api_calls": 0, + "input_tokens": 14946, + "cached_input_tokens": 12032, + "output_tokens": 247, + "total_tokens": 15193, + "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": 7700.23, + "sql_execution_elapsed_ms_total": 25.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e20292875979cc05/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6aba798fa3b675dfd50c198375bdb5052f65dc05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_8, measure_col=feature_8. +Result preview: [{"feature_8": "100", "total_measure": 72800.0}, {"feature_8": "60", "total_measure": 8700.0}, {"feature_8": "62", "total_measure": 8432.0}, {"feature_8": "58", "total_measure": 8410.0}, {"feature_8": "66", "total_measure": 8052.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3c1fbd55fde015a0873dd956974514aa6c66b90c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n9_e5e996e21b5329e8 +-- problem_id: v2p_n9_2cb3b041f007ef8f +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_8", SUM(CAST("feature_8" AS REAL)) AS total_measure +FROM "n9" +GROUP BY "feature_8" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8627fd5a81821eeb584f80f7ad5bcc5579a2f60f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/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_h2o_group_sum\nSELECT \"feature_8\", SUM(CAST(\"feature_8\" AS REAL)) AS total_measure\nFROM \"n9\"\nGROUP BY \"feature_8\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_8\\\", SUM(CAST(\\\"feature_8\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"feature_8\", \"total_measure\"], \"rows\": [{\"feature_8\": \"100\", \"total_measure\": 72800.0}, {\"feature_8\": \"60\", \"total_measure\": 8700.0}, {\"feature_8\": \"62\", \"total_measure\": 8432.0}, {\"feature_8\": \"58\", \"total_measure\": 8410.0}, {\"feature_8\": \"66\", \"total_measure\": 8052.0}, {\"feature_8\": \"61\", \"total_measure\": 8052.0}, {\"feature_8\": \"63\", \"total_measure\": 8001.0}, {\"feature_8\": \"55\", \"total_measure\": 7920.0}, {\"feature_8\": \"64\", \"total_measure\": 7744.0}, {\"feature_8\": \"52\", \"total_measure\": 7592.0}, {\"feature_8\": \"53\", \"total_measure\": 7526.0}, {\"feature_8\": \"57\", \"total_measure\": 7467.0}, {\"feature_8\": \"43\", \"total_measure\": 7439.0}, {\"feature_8\": \"50\", \"total_measure\": 7100.0}, {\"feature_8\": \"40\", \"total_measure\": 7040.0}, {\"feature_8\": \"59\", \"total_measure\": 6903.0}, {\"feature_8\": \"39\", \"total_measure\": 6825.0}, {\"feature_8\": \"51\", \"total_measure\": 6579.0}, {\"feature_8\": \"80\", \"total_measure\": 6480.0}, {\"feature_8\": \"65\", \"total_measure\": 6435.0}, {\"feature_8\": \"35\", \"total_measure\": 6405.0}, {\"feature_8\": \"56\", \"total_measure\": 6384.0}, {\"feature_8\": \"38\", \"total_measure\": 6346.0}, {\"feature_8\": \"67\", \"total_measure\": 6298.0}, {\"feature_8\": \"48\", \"total_measure\": 6144.0}, {\"feature_8\": \"36\", \"total_measure\": 6084.0}, {\"feature_8\": \"34\", \"total_measure\": 6018.0}, {\"feature_8\": \"54\", \"total_measure\": 5994.0}, {\"feature_8\": \"42\", \"total_measure\": 5964.0}, {\"feature_8\": \"47\", \"total_measure\": 5687.0}, {\"feature_8\": \"41\", \"total_measure\": 5658.0}, {\"feature_8\": \"68\", \"total_measure\": 5644.0}, {\"feature_8\": \"37\", \"total_measure\": 5624.0}, {\"feature_8\": \"44\", \"total_measure\": 5368.0}, {\"feature_8\": \"45\", \"total_measure\": 5355.0}, {\"feature_8\": \"46\", \"total_measure\": 5290.0}, {\"feature_8\": \"33\", \"total_measure\": 5247.0}, {\"feature_8\": \"85\", \"total_measure\": 5185.0}, {\"feature_8\": \"69\", \"total_measure\": 4968.0}, {\"feature_8\": \"92\", \"total_measure\": 4876.0}, {\"feature_8\": \"72\", \"total_measure\": 4824.0}, {\"feature_8\": \"73\", \"total_measure\": 4818.0}, {\"feature_8\": \"70\", \"total_measure\": 4760.0}, {\"feature_8\": \"71\", \"total_measure\": 4757.0}, {\"feature_8\": \"82\", \"total_measure\": 4674.0}, {\"feature_8\": \"98\", \"total_measure\": 4606.0}, {\"feature_8\": \"31\", \"total_measure\": 4557.0}, {\"feature_8\": \"90\", \"total_measure\": 4500.0}, {\"feature_8\": \"32\", \"total_measure\": 4480.0}, {\"feature_8\": \"94\", \"total_measure\": 4418.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..788e8597e1f527cbd8de2c0eb799a9794806a130 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:31:04.901771+00:00", + "ended_at": "2026-05-19T15:31:16.190527+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_e5e996e21b5329e8", + "problem_id": "v2p_n9_2cb3b041f007ef8f", + "dataset_id": "n9", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=feature_8, measure_col=feature_8.", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_8", + "top_k": 12, + "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": 64.0, + "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 {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_e5e996e21b5329e8.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e5e996e21b5329e8", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 314, + "total_tokens": 15254, + "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": 11270.01, + "sql_execution_elapsed_ms_total": 12.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..78e8bec4b0e94c1df757eaf26a86a2bea2575b70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:16.175310+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11270.01, "started_at": "2026-05-19T15:31:04.903646+00:00", "ended_at": "2026-05-19T15:31:16.173695+00:00", "prompt_metrics": {"chars": 9388, "bytes_utf8": 9388, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 384, "bytes_utf8": 384, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14940, "cached_input_tokens": 12032, "output_tokens": 314, "reasoning_output_tokens": 209}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"feature_8\\\", SUM(CAST(\\\"feature_8\\\" AS REAL)) AS total_measure\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_8\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"feature_8\\\" and measure_col=\\\"feature_8\\\". CAST is used because the schema stores numeric-looking values as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c7d00e5834ac0ed03c1b441699cea2bee1544a24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e5e996e21b5329e8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e5e996e21b5329e8", + "api_calls": 0, + "input_tokens": 14940, + "cached_input_tokens": 12032, + "output_tokens": 314, + "total_tokens": 15254, + "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": 11270.01, + 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null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 9572, "bytes_utf8": 9572, "lines": 300, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1933, "bytes_utf8": 1933, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 4300, "reasoning_output_tokens": 3619}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..436423b2f036ebf68e6f19637e4c8fa51815d1d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e6c306e2a75a0567", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 4300, + "total_tokens": 19278, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 63364.53, + "sql_execution_elapsed_ms_total": 55.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3de96564b2fb4fd988c84339433e8c820f8615d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:25.115199+00:00", + "ended_at": "2026-05-19T15:57:28.252812+00:00", + "elapsed_ms": 3137.58, + "returncode": 1, + "prompt_metrics": { + "chars": 9572, + "bytes_utf8": 9572, + "lines": 300, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3279648a5495f9c6f7f21d049074b1b1495c70ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:29.255404+00:00", + "ended_at": "2026-05-19T15:58:29.482411+00:00", + "elapsed_ms": 60226.95, + "prompt_metrics": { + "chars": 9572, + "bytes_utf8": 9572, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2558, + "bytes_utf8": 2558, + "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": 1933, + "bytes_utf8": 1933, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 4300, + "reasoning_output_tokens": 3619 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..75fb64de6bc23b41b9a5a5f25ebfdfa1e31f40f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_7, measure_col=feature_12.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_12", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..75fb64de6bc23b41b9a5a5f25ebfdfa1e31f40f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,300 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_7, measure_col=feature_12.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_12", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef5201b7d1dacfd7dc98d7f787cea298ecacf3c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-cc11-7db1-a225-e812fd4a7d35"} +{"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."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2df0fbb11eb409af217fde461da7febcc8c7173d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-cc11-7db1-a225-e812fd4a7d35"} +{"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."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31638713f048e9594fb71fefb2113550819c3a4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-dc25-7393-bc0d-cd99ae744d65"} +{"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 \\\"feature_7\\\",\\n CAST(\\\"feature_12\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_7\\\" IS NOT NULL\\n AND \\\"feature_12\\\" IS NOT NULL\\n),\\n\\\"__ordered\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_7\\\"\\n ORDER BY \\\"measure_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_7\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"__base\\\"\\n),\\n\\\"__bounds\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n 1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS \\\"pos\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS INTEGER) +\\n CASE\\n WHEN (1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95) > CAST(1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"__ordered\\\"\\n GROUP BY \\\"feature_7\\\"\\n HAVING MAX(\\\"cnt\\\") >= 5\\n)\\nSELECT\\n o.\\\"feature_7\\\",\\n CASE\\n WHEN b.\\\"lower_rn\\\" = b.\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) +\\n (b.\\\"pos\\\" - b.\\\"lower_rn\\\") * (\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__ordered\\\" AS o\\nJOIN \\\"__bounds\\\" AS b\\n ON o.\\\"feature_7\\\" = b.\\\"feature_7\\\"\\nGROUP BY\\n o.\\\"feature_7\\\",\\n b.\\\"pos\\\",\\n b.\\\"lower_rn\\\",\\n b.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.95) in SQLite via linear interpolation over CAST(\\\"feature_12\\\" AS REAL) within each \\\"feature_7\\\" group, and excludes groups with fewer than 5 non-null rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":14978,"cached_input_tokens":13696,"output_tokens":4300,"reasoning_output_tokens":3619}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f30c4cb310e87eec449af007fa663f3ac80ab54c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__base\" AS (\n SELECT\n \"feature_7\",\n CAST(\"feature_12\" AS REAL) AS \"measure_value\"\n FROM \"n9\"\n WHERE \"feature_7\" IS NOT NULL\n AND \"feature_12\" IS NOT NULL\n),\n\"__ordered\" AS (\n SELECT\n \"feature_7\",\n \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_7\"\n ORDER BY \"measure_value\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_7\"\n ) AS \"cnt\"\n FROM \"__base\"\n),\n\"__bounds\" AS (\n SELECT\n \"feature_7\",\n MAX(\"cnt\") AS \"cnt\",\n 1.0 + (MAX(\"cnt\") - 1.0) * 0.95 AS \"pos\",\n CAST(1.0 + (MAX(\"cnt\") - 1.0) * 0.95 AS INTEGER) AS \"lower_rn\",\n CAST(1.0 + (MAX(\"cnt\") - 1.0) * 0.95 AS INTEGER) +\n CASE\n WHEN (1.0 + (MAX(\"cnt\") - 1.0) * 0.95) > CAST(1.0 + (MAX(\"cnt\") - 1.0) * 0.95 AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"__ordered\"\n GROUP BY \"feature_7\"\n HAVING MAX(\"cnt\") >= 5\n)\nSELECT\n o.\"feature_7\",\n CASE\n WHEN b.\"lower_rn\" = b.\"upper_rn\" THEN\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END) +\n (b.\"pos\" - b.\"lower_rn\") * (\n MAX(CASE WHEN o.\"rn\" = b.\"upper_rn\" THEN o.\"measure_value\" END) -\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"__ordered\" AS o\nJOIN \"__bounds\" AS b\n ON o.\"feature_7\" = b.\"feature_7\"\nGROUP BY\n o.\"feature_7\",\n b.\"pos\",\n b.\"lower_rn\",\n b.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.95) in SQLite via linear interpolation over CAST(\"feature_12\" AS REAL) within each \"feature_7\" group, and excludes groups with fewer than 5 non-null rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b4005564eaa0cf3bb7338f58958f2efef9cedb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_7, measure_col=feature_12. +Result preview: [{"feature_7": "83", "percentile_measure": 100.0}, {"feature_7": "84", "percentile_measure": 100.0}, {"feature_7": "86", "percentile_measure": 100.0}, {"feature_7": "87", "percentile_measure": 100.0}, {"feature_7": "89", "percentile_measure": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4d1a177c532709b0063d257452da691dbeca7592 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/generated_sql.sql @@ -0,0 +1,70 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_e6c306e2a75a0567 +-- problem_id: v2p_n9_7cc9699b0756386f +-- realization_mode: agent +-- source_kind: agent +WITH "__base" AS ( + SELECT + "feature_7", + CAST("feature_12" AS REAL) AS "measure_value" + FROM "n9" + WHERE "feature_7" IS NOT NULL + AND "feature_12" IS NOT NULL +), +"__ordered" AS ( + SELECT + "feature_7", + "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "feature_7" + ORDER BY "measure_value" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "feature_7" + ) AS "cnt" + FROM "__base" +), +"__bounds" AS ( + SELECT + "feature_7", + MAX("cnt") AS "cnt", + 1.0 + (MAX("cnt") - 1.0) * 0.95 AS "pos", + CAST(1.0 + (MAX("cnt") - 1.0) * 0.95 AS INTEGER) AS "lower_rn", + CAST(1.0 + (MAX("cnt") - 1.0) * 0.95 AS INTEGER) + + CASE + WHEN (1.0 + (MAX("cnt") - 1.0) * 0.95) > CAST(1.0 + (MAX("cnt") - 1.0) * 0.95 AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_rn" + FROM "__ordered" + GROUP BY "feature_7" + HAVING MAX("cnt") >= 5 +) +SELECT + o."feature_7", + CASE + WHEN b."lower_rn" = b."upper_rn" THEN + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + ELSE + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + + (b."pos" - b."lower_rn") * ( + MAX(CASE WHEN o."rn" = b."upper_rn" THEN o."measure_value" END) - + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + ) + END AS "percentile_measure" +FROM "__ordered" AS o +JOIN "__bounds" AS b + ON o."feature_7" = b."feature_7" +GROUP BY + o."feature_7", + b."pos", + b."lower_rn", + b."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..43612e746f99f4012a56345e4a2fe2e8a4463d20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"__base\" AS (\n SELECT\n \"feature_7\",\n CAST(\"feature_12\" AS REAL) AS \"measure_value\"\n FROM \"n9\"\n WHERE \"feature_7\" IS NOT NULL\n AND \"feature_12\" IS NOT NULL\n),\n\"__ordered\" AS (\n SELECT\n \"feature_7\",\n \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_7\"\n ORDER BY \"measure_value\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"feature_7\"\n ) AS \"cnt\"\n FROM \"__base\"\n),\n\"__bounds\" AS (\n SELECT\n \"feature_7\",\n MAX(\"cnt\") AS \"cnt\",\n 1.0 + (MAX(\"cnt\") - 1.0) * 0.95 AS \"pos\",\n CAST(1.0 + (MAX(\"cnt\") - 1.0) * 0.95 AS INTEGER) AS \"lower_rn\",\n CAST(1.0 + (MAX(\"cnt\") - 1.0) * 0.95 AS INTEGER) +\n CASE\n WHEN (1.0 + (MAX(\"cnt\") - 1.0) * 0.95) > CAST(1.0 + (MAX(\"cnt\") - 1.0) * 0.95 AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"__ordered\"\n GROUP BY \"feature_7\"\n HAVING MAX(\"cnt\") >= 5\n)\nSELECT\n o.\"feature_7\",\n CASE\n WHEN b.\"lower_rn\" = b.\"upper_rn\" THEN\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END) +\n (b.\"pos\" - b.\"lower_rn\") * (\n MAX(CASE WHEN o.\"rn\" = b.\"upper_rn\" THEN o.\"measure_value\" END) -\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"__ordered\" AS o\nJOIN \"__bounds\" AS b\n ON o.\"feature_7\" = b.\"feature_7\"\nGROUP BY\n o.\"feature_7\",\n b.\"pos\",\n b.\"lower_rn\",\n b.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n CAST(\\\"feature_12\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_7\\\" IS NOT NULL\\n AND \\\"feature_12\\\" IS NOT NULL\\n),\\n\\\"__ordered\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_7\\\"\\n ORDER BY \\\"measure_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_7\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"__base\\\"\\n),\\n\\\"__bounds\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n 1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS \\\"pos\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS INTEGER) +\\n CASE\\n WHEN (1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95) > CAST(1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"__ordered\\\"\\n GROUP BY \\\"feature_7\\\"\\n HAVING MAX(\\\"cnt\\\") >= 5\\n)\\nSELECT\\n o.\\\"feature_7\\\",\\n CASE\\n WHEN b.\\\"lower_rn\\\" = b.\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) +\\n (b.\\\"pos\\\" - b.\\\"lower_rn\\\") * (\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__ordered\\\" AS o\\nJOIN \\\"__bounds\\\" AS b\\n ON o.\\\"feature_7\\\" = b.\\\"feature_7\\\"\\nGROUP BY\\n o.\\\"feature_7\\\",\\n b.\\\"pos\\\",\\n b.\\\"lower_rn\\\",\\n b.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"feature_7\", \"percentile_measure\"], \"rows\": [{\"feature_7\": \"83\", \"percentile_measure\": 100.0}, {\"feature_7\": \"84\", \"percentile_measure\": 100.0}, {\"feature_7\": \"86\", \"percentile_measure\": 100.0}, {\"feature_7\": \"87\", \"percentile_measure\": 100.0}, {\"feature_7\": \"89\", \"percentile_measure\": 100.0}, {\"feature_7\": \"90\", \"percentile_measure\": 100.0}, {\"feature_7\": \"91\", \"percentile_measure\": 100.0}, {\"feature_7\": \"92\", \"percentile_measure\": 100.0}, {\"feature_7\": \"93\", \"percentile_measure\": 100.0}, {\"feature_7\": \"95\", \"percentile_measure\": 100.0}, {\"feature_7\": \"96\", \"percentile_measure\": 100.0}, {\"feature_7\": \"99\", \"percentile_measure\": 100.0}, {\"feature_7\": \"85\", \"percentile_measure\": 99.89999999999999}, {\"feature_7\": \"76\", \"percentile_measure\": 99.85}, {\"feature_7\": \"80\", \"percentile_measure\": 99.85}, {\"feature_7\": \"79\", \"percentile_measure\": 98.89999999999999}, {\"feature_7\": \"77\", \"percentile_measure\": 98.79999999999998}, {\"feature_7\": \"78\", \"percentile_measure\": 96.19999999999999}, {\"feature_7\": \"81\", \"percentile_measure\": 95.79999999999998}, {\"feature_7\": \"74\", \"percentile_measure\": 95.0}, {\"feature_7\": \"75\", \"percentile_measure\": 95.0}, {\"feature_7\": \"82\", \"percentile_measure\": 95.0}, {\"feature_7\": \"94\", \"percentile_measure\": 95.0}, {\"feature_7\": \"71\", \"percentile_measure\": 94.19999999999999}, {\"feature_7\": \"69\", \"percentile_measure\": 93.25}, {\"feature_7\": \"73\", \"percentile_measure\": 93.0}, {\"feature_7\": \"63\", \"percentile_measure\": 91.99999999999999}, {\"feature_7\": \"70\", \"percentile_measure\": 90.94999999999999}, {\"feature_7\": \"67\", \"percentile_measure\": 90.1}, {\"feature_7\": \"100\", \"percentile_measure\": 90.0}, {\"feature_7\": \"72\", \"percentile_measure\": 88.79999999999998}, {\"feature_7\": \"4\", \"percentile_measure\": 88.14999999999999}, {\"feature_7\": \"65\", \"percentile_measure\": 87.0}, {\"feature_7\": \"62\", \"percentile_measure\": 86.45000000000002}, {\"feature_7\": \"88\", \"percentile_measure\": 86.19999999999993}, {\"feature_7\": \"97\", \"percentile_measure\": 85.75}, {\"feature_7\": \"7\", \"percentile_measure\": 85.30000000000001}, {\"feature_7\": \"66\", \"percentile_measure\": 85.0}, {\"feature_7\": \"61\", \"percentile_measure\": 83.94999999999999}, {\"feature_7\": \"5\", \"percentile_measure\": 83.0}, {\"feature_7\": \"20\", \"percentile_measure\": 82.79999999999998}, {\"feature_7\": \"16\", \"percentile_measure\": 82.5}, {\"feature_7\": \"9\", \"percentile_measure\": 82.19999999999999}, {\"feature_7\": \"17\", \"percentile_measure\": 82.0}, {\"feature_7\": \"18\", \"percentile_measure\": 81.64999999999999}, {\"feature_7\": \"21\", \"percentile_measure\": 81.19999999999999}, {\"feature_7\": \"1\", \"percentile_measure\": 81.15}, {\"feature_7\": \"22\", \"percentile_measure\": 81.0}, {\"feature_7\": \"8\", \"percentile_measure\": 81.0}, {\"feature_7\": \"13\", \"percentile_measure\": 80.6}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 55.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..61903f620ae5187be9ae914653bf58d95d5fd2b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:57:25.114122+00:00", + "ended_at": "2026-05-19T15:58:29.541513+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_e6c306e2a75a0567", + "problem_id": "v2p_n9_7cc9699b0756386f", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_7, measure_col=feature_12.", + "bindings": { + "group_col": "feature_7", + "measure_col": "feature_12", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 48.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=91" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_e6c306e2a75a0567.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e6c306e2a75a0567", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 4300, + "total_tokens": 19278, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 63364.53, + "sql_execution_elapsed_ms_total": 55.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a77702a3ed466eb81905e71cfa7894e9ce23f2b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:28.253798+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3137.58, "started_at": "2026-05-19T15:57:25.115199+00:00", "ended_at": "2026-05-19T15:57:28.252812+00:00", "prompt_metrics": {"chars": 9572, "bytes_utf8": 9572, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-cc11-7db1-a225-e812fd4a7d35\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:29.483976+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 60226.95, "started_at": "2026-05-19T15:57:29.255404+00:00", "ended_at": "2026-05-19T15:58:29.482411+00:00", "prompt_metrics": {"chars": 9572, "bytes_utf8": 9572, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1933, "bytes_utf8": 1933, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 4300, "reasoning_output_tokens": 3619}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__base\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n CAST(\\\"feature_12\\\" AS REAL) AS \\\"measure_value\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_7\\\" IS NOT NULL\\n AND \\\"feature_12\\\" IS NOT NULL\\n),\\n\\\"__ordered\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_7\\\"\\n ORDER BY \\\"measure_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"feature_7\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"__base\\\"\\n),\\n\\\"__bounds\\\" AS (\\n SELECT\\n \\\"feature_7\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n 1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS \\\"pos\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS INTEGER) +\\n CASE\\n WHEN (1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95) > CAST(1.0 + (MAX(\\\"cnt\\\") - 1.0) * 0.95 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"__ordered\\\"\\n GROUP BY \\\"feature"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a2cc5c2c6eafbe9da644e60ec6d5db38acbdd6c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_e6c306e2a75a0567", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 4300, + "total_tokens": 19278, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 63364.53, + "sql_execution_elapsed_ms_total": 55.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e6c306e2a75a0567/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..99a77c080b1b6a5ded17df06678a3eee6a83ef31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 1556, "support_share": 0.1415574963609898, "support_rank": 1}, {"value_label": "100", "support": 728, "support_share": 0.06622998544395925, "support_rank": 2}, {"value_label": "35", "support": 183, "support_share": 0.016648471615720525, "support_rank": 3}, {"value_label": "34", "support": 177, "support_share": 0.016102620087336244, "support_rank": 4}, {"value_label": "40", "support": 176, "support_share": 0.01601164483260553, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..71140b4db099f38f31d2ca9b11f3acd30a700339 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n9_e741d950a0d49134 +-- problem_id: v2p_n9_4e02f09e322b137f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_8" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_8" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6805ea3a8249a955888d590b7f6ae9e48c84bf26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n9_e741d950a0d49134\n-- problem_id: v2p_n9_4e02f09e322b137f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_8\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_8\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n9_e741d950a0d49134\\n-- problem_id: v2p_n9_4e02f09e322b137f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_8\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_8\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 1556, \"support_share\": 0.1415574963609898, \"support_rank\": 1}, {\"value_label\": \"100\", \"support\": 728, \"support_share\": 0.06622998544395925, \"support_rank\": 2}, {\"value_label\": \"35\", \"support\": 183, \"support_share\": 0.016648471615720525, \"support_rank\": 3}, {\"value_label\": \"34\", \"support\": 177, \"support_share\": 0.016102620087336244, \"support_rank\": 4}, {\"value_label\": \"40\", \"support\": 176, \"support_share\": 0.01601164483260553, \"support_rank\": 5}, {\"value_label\": \"39\", \"support\": 175, \"support_share\": 0.01592066957787482, \"support_rank\": 6}, {\"value_label\": \"43\", \"support\": 173, \"support_share\": 0.01573871906841339, \"support_rank\": 7}, {\"value_label\": \"36\", \"support\": 169, \"support_share\": 0.015374818049490539, \"support_rank\": 8}, {\"value_label\": \"38\", \"support\": 167, \"support_share\": 0.015192867540029112, \"support_rank\": 9}, {\"value_label\": \"33\", \"support\": 159, \"support_share\": 0.014465065502183407, \"support_rank\": 10}, {\"value_label\": \"37\", \"support\": 152, \"support_share\": 0.013828238719068414, \"support_rank\": 11}, {\"value_label\": \"31\", \"support\": 147, \"support_share\": 0.013373362445414847, \"support_rank\": 12}, {\"value_label\": \"52\", \"support\": 146, \"support_share\": 0.013282387190684133, \"support_rank\": 13}, {\"value_label\": \"58\", \"support\": 145, \"support_share\": 0.01319141193595342, \"support_rank\": 14}, {\"value_label\": \"60\", \"support\": 145, \"support_share\": 0.01319141193595342, \"support_rank\": 15}, {\"value_label\": \"55\", \"support\": 144, \"support_share\": 0.013100436681222707, \"support_rank\": 16}, {\"value_label\": \"42\", \"support\": 142, \"support_share\": 0.01291848617176128, \"support_rank\": 17}, {\"value_label\": \"50\", \"support\": 142, \"support_share\": 0.01291848617176128, \"support_rank\": 18}, {\"value_label\": \"53\", \"support\": 142, \"support_share\": 0.01291848617176128, \"support_rank\": 19}, {\"value_label\": \"32\", \"support\": 140, \"support_share\": 0.012736535662299854, \"support_rank\": 20}, {\"value_label\": \"41\", \"support\": 138, \"support_share\": 0.012554585152838428, \"support_rank\": 21}, {\"value_label\": \"62\", \"support\": 136, \"support_share\": 0.012372634643377001, \"support_rank\": 22}, {\"value_label\": \"61\", \"support\": 132, \"support_share\": 0.012008733624454149, \"support_rank\": 23}, {\"value_label\": \"57\", \"support\": 131, \"support_share\": 0.011917758369723435, \"support_rank\": 24}, {\"value_label\": \"51\", \"support\": 129, \"support_share\": 0.011735807860262008, \"support_rank\": 25}, {\"value_label\": \"48\", \"support\": 128, \"support_share\": 0.011644832605531296, \"support_rank\": 26}, {\"value_label\": \"63\", \"support\": 127, \"support_share\": 0.011553857350800582, \"support_rank\": 27}, {\"value_label\": \"28\", \"support\": 122, \"support_share\": 0.011098981077147015, \"support_rank\": 28}, {\"value_label\": \"44\", \"support\": 122, \"support_share\": 0.011098981077147015, \"support_rank\": 29}, {\"value_label\": \"66\", \"support\": 122, \"support_share\": 0.011098981077147015, \"support_rank\": 30}, {\"value_label\": \"47\", \"support\": 121, \"support_share\": 0.011008005822416303, \"support_rank\": 31}, {\"value_label\": \"64\", \"support\": 121, \"support_share\": 0.011008005822416303, \"support_rank\": 32}, {\"value_label\": \"45\", \"support\": 119, \"support_share\": 0.010826055312954877, \"support_rank\": 33}, {\"value_label\": \"59\", \"support\": 117, \"support_share\": 0.01064410480349345, \"support_rank\": 34}, {\"value_label\": \"27\", \"support\": 116, \"support_share\": 0.010553129548762736, \"support_rank\": 35}, {\"value_label\": \"46\", \"support\": 115, \"support_share\": 0.010462154294032024, \"support_rank\": 36}, {\"value_label\": \"29\", \"support\": 114, \"support_share\": 0.01037117903930131, \"support_rank\": 37}, {\"value_label\": \"56\", \"support\": 114, \"support_share\": 0.01037117903930131, \"support_rank\": 38}, {\"value_label\": \"30\", \"support\": 111, \"support_share\": 0.01009825327510917, \"support_rank\": 39}, {\"value_label\": \"54\", \"support\": 111, \"support_share\": 0.01009825327510917, \"support_rank\": 40}, {\"value_label\": \"25\", \"support\": 105, \"support_share\": 0.00955240174672489, \"support_rank\": 41}, {\"value_label\": \"65\", \"support\": 99, \"support_share\": 0.009006550218340612, \"support_rank\": 42}, {\"value_label\": \"26\", \"support\": 95, \"support_share\": 0.008642649199417759, \"support_rank\": 43}, {\"value_label\": \"67\", \"support\": 94, \"support_share\": 0.008551673944687045, \"support_rank\": 44}, {\"value_label\": \"24\", \"support\": 91, \"support_share\": 0.008278748180494906, \"support_rank\": 45}, {\"value_label\": \"22\", \"support\": 86, \"support_share\": 0.00782387190684134, \"support_rank\": 46}, {\"value_label\": \"49\", \"support\": 85, \"support_share\": 0.007732896652110626, \"support_rank\": 47}, {\"value_label\": \"23\", \"support\": 83, \"support_share\": 0.007550946142649199, \"support_rank\": 48}, {\"value_label\": \"68\", \"support\": 83, \"support_share\": 0.007550946142649199, \"support_rank\": 49}, {\"value_label\": \"20\", \"support\": 82, \"support_share\": 0.007459970887918486, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fa30d65bc79cfa7d5fba59e03e43e1b3d20c99e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.811700+00:00", + "ended_at": "2026-05-19T16:10:15.816936+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_e741d950a0d49134", + "problem_id": "v2p_n9_4e02f09e322b137f", + "dataset_id": "n9", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=feature_8.", + "bindings": { + "group_col": "feature_8" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_e741d950a0d49134.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e741d950a0d49134/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3143598e7cd206f67f09412a667093c2a3892f52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:03:05.524861+00:00", + "ended_at": "2026-05-19T16:03:14.261368+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_e7a2bcbffad2c378", + "problem_id": "v2p_n9_f9fd8af917bcbcd5", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_1, condition_col=class.", + "bindings": { + "group_col": "feature_1", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 74.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..892c6799a69e2200c63450ceb41fdc80f8d06993 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_e7a2bcbffad2c378/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:09.923188+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4395.52, "started_at": "2026-05-19T16:03:05.526867+00:00", "ended_at": "2026-05-19T16:03:09.922421+00:00", "prompt_metrics": {"chars": 9631, "bytes_utf8": 9631, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f9-fdb2-7153-b5c2-548972ad4205\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:14.261280+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3335.84, "started_at": "2026-05-19T16:03:10.924670+00:00", "ended_at": "2026-05-19T16:03:14.260554+00:00", "prompt_metrics": {"chars": 9631, "bytes_utf8": 9631, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-12ed-7ce2-bcf4-00c42f00fd1c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b409bb10f40c6f7b0a1a3cb755fd96b726c04d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_15. +Result preview: [{"empirical_cdf_at_threshold": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..185dd2a39d32af2a5cced719debd2a16d11f273a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n9_ea89d21353c80cf2 +-- problem_id: v2p_n9_f24f3dac6f5fff1b +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("feature_15" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "n9"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0dcaed1ef30c29976e2392cc228feac9f98f4b3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/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_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_15\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_15\\\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 1.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.06}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..341b4c594efaa0ffd962d9c65c2d6dc98a4a48d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:04:03.561976+00:00", + "ended_at": "2026-05-19T16:04:12.493644+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_ea89d21353c80cf2", + "problem_id": "v2p_n9_f24f3dac6f5fff1b", + "dataset_id": "n9", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_15.", + "bindings": { + "measure_col": "feature_15", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=110" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_ea89d21353c80cf2.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ea89d21353c80cf2", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 323, + "total_tokens": 15250, + "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": 8926.07, + "sql_execution_elapsed_ms_total": 2.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..590ab977f074ac200121da0510426d05fcd42fba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:12.490245+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8926.07, "started_at": "2026-05-19T16:04:03.563269+00:00", "ended_at": "2026-05-19T16:04:12.489364+00:00", "prompt_metrics": {"chars": 9327, "bytes_utf8": 9327, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 13696, "output_tokens": 323, "reasoning_output_tokens": 212}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_15\\\" AS REAL) <= 100.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Used the requested Threshold Rarity CDF template with measure_col bound to \\\"feature_15\\\" and threshold 100.0. Casted \\\"feature_15\\\" to REAL because the SQLite schema stores features as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a686291f88a6b9925c0941c24ddd36df5f509f1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ea89d21353c80cf2", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 13696, + "output_tokens": 323, + "total_tokens": 15250, + "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": 8926.07, + "sql_execution_elapsed_ms_total": 2.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ea89d21353c80cf2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b0c1555f8eee47f05e0d0657ff731f38f4c55b32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:05:19.271807+00:00", + "ended_at": "2026-05-19T16:05:27.925477+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_ecfe915eb89137f2", + "problem_id": "v2p_n9_f3c4594bdf573c1a", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_3.", + "bindings": { + "group_col": "feature_3", + "top_k": 11, + "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": 54.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..38bd28d6c87f4dc4604cbec10fbac5a298006a3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ecfe915eb89137f2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:23.879686+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4605.54, "started_at": "2026-05-19T16:05:19.273099+00:00", "ended_at": "2026-05-19T16:05:23.878662+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-0819-72e3-a92f-c994c77c0ee8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:27.925382+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3043.08, "started_at": "2026-05-19T16:05:24.881456+00:00", "ended_at": "2026-05-19T16:05:27.924580+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-1e0f-7872-95fb-98a09b36fdb8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..13811e2355516d2aa37519b36a150e495afa8bb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/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=feature_4, group_col_2=feature_12. +Result preview: [{"feature_4": "91", "feature_12": "0", "row_count": 19}, {"feature_4": "97", "feature_12": "0", "row_count": 18}, {"feature_4": "92", "feature_12": "0", "row_count": 16}, {"feature_4": "99", "feature_12": "0", "row_count": 16}, {"feature_4": "100", "feature_12": "0", "row_count": 15}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e49ecdcd7a6d7ff8a5ca5dbdafc19afb254024a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- 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_n9_ee68e050f4954059 +-- problem_id: v2p_n9_a40f093260ba585b +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_4", "feature_12", COUNT(*) AS "row_count" +FROM "n9" +WHERE CAST("feature_2" AS REAL) >= 100.0 +GROUP BY "feature_4", "feature_12" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..db950171f1429ab181b89b3adb1ec8ce984976b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/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 \"feature_4\", \"feature_12\", COUNT(*) AS \"row_count\"\nFROM \"n9\"\nWHERE CAST(\"feature_2\" AS REAL) >= 100.0\nGROUP BY \"feature_4\", \"feature_12\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_12\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_2\\\" AS REAL) >= 100.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_12\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"feature_4\", \"feature_12\", \"row_count\"], \"rows\": [{\"feature_4\": \"91\", \"feature_12\": \"0\", \"row_count\": 19}, {\"feature_4\": \"97\", \"feature_12\": \"0\", \"row_count\": 18}, {\"feature_4\": \"92\", \"feature_12\": \"0\", \"row_count\": 16}, {\"feature_4\": \"99\", \"feature_12\": \"0\", \"row_count\": 16}, {\"feature_4\": \"100\", \"feature_12\": \"0\", \"row_count\": 15}, {\"feature_4\": \"80\", \"feature_12\": \"0\", \"row_count\": 14}, {\"feature_4\": \"83\", \"feature_12\": \"0\", \"row_count\": 14}, {\"feature_4\": \"90\", \"feature_12\": \"0\", \"row_count\": 14}, {\"feature_4\": \"94\", \"feature_12\": \"0\", \"row_count\": 14}, {\"feature_4\": \"81\", \"feature_12\": \"0\", \"row_count\": 13}, {\"feature_4\": \"96\", \"feature_12\": \"0\", \"row_count\": 13}, {\"feature_4\": \"95\", \"feature_12\": \"0\", \"row_count\": 12}, {\"feature_4\": \"85\", \"feature_12\": \"0\", \"row_count\": 11}, {\"feature_4\": \"86\", \"feature_12\": \"29\", \"row_count\": 10}, {\"feature_4\": \"98\", \"feature_12\": \"0\", \"row_count\": 10}, {\"feature_4\": \"79\", \"feature_12\": \"0\", \"row_count\": 9}, {\"feature_4\": \"87\", \"feature_12\": \"0\", \"row_count\": 9}, {\"feature_4\": \"88\", \"feature_12\": \"0\", \"row_count\": 8}, {\"feature_4\": \"86\", \"feature_12\": \"0\", \"row_count\": 7}, {\"feature_4\": \"90\", \"feature_12\": \"30\", \"row_count\": 7}, {\"feature_4\": \"92\", \"feature_12\": \"30\", \"row_count\": 7}, {\"feature_4\": \"72\", \"feature_12\": \"60\", \"row_count\": 6}, {\"feature_4\": \"75\", \"feature_12\": \"68\", \"row_count\": 6}, {\"feature_4\": \"76\", \"feature_12\": \"64\", \"row_count\": 6}, {\"feature_4\": \"82\", \"feature_12\": \"0\", \"row_count\": 6}, {\"feature_4\": \"89\", \"feature_12\": \"0\", \"row_count\": 6}, {\"feature_4\": \"91\", \"feature_12\": \"30\", \"row_count\": 6}, {\"feature_4\": \"93\", \"feature_12\": \"0\", \"row_count\": 6}, {\"feature_4\": \"98\", \"feature_12\": \"25\", \"row_count\": 6}, {\"feature_4\": \"99\", \"feature_12\": \"26\", \"row_count\": 6}, {\"feature_4\": \"100\", \"feature_12\": \"44\", \"row_count\": 5}, {\"feature_4\": \"73\", \"feature_12\": \"58\", \"row_count\": 5}, {\"feature_4\": \"73\", \"feature_12\": \"61\", \"row_count\": 5}, {\"feature_4\": \"74\", \"feature_12\": \"64\", \"row_count\": 5}, {\"feature_4\": \"75\", \"feature_12\": \"56\", \"row_count\": 5}, {\"feature_4\": \"77\", \"feature_12\": \"13\", \"row_count\": 5}, {\"feature_4\": \"77\", \"feature_12\": \"53\", \"row_count\": 5}, {\"feature_4\": \"78\", \"feature_12\": \"8\", \"row_count\": 5}, {\"feature_4\": \"79\", \"feature_12\": \"51\", \"row_count\": 5}, {\"feature_4\": \"79\", \"feature_12\": \"61\", \"row_count\": 5}, {\"feature_4\": \"81\", \"feature_12\": \"44\", \"row_count\": 5}, {\"feature_4\": \"81\", \"feature_12\": \"45\", \"row_count\": 5}, {\"feature_4\": \"84\", \"feature_12\": \"24\", \"row_count\": 5}, {\"feature_4\": \"84\", \"feature_12\": \"45\", \"row_count\": 5}, {\"feature_4\": \"85\", \"feature_12\": \"24\", \"row_count\": 5}, {\"feature_4\": \"85\", \"feature_12\": \"28\", \"row_count\": 5}, {\"feature_4\": \"90\", \"feature_12\": \"22\", \"row_count\": 5}, {\"feature_4\": \"92\", \"feature_12\": \"31\", \"row_count\": 5}, {\"feature_4\": \"93\", \"feature_12\": \"18\", \"row_count\": 5}, {\"feature_4\": \"99\", \"feature_12\": \"38\", \"row_count\": 5}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..27c9b987a55d74730422a033d7042a933b16be4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:42:18.994682+00:00", + "ended_at": "2026-05-19T15:42:33.031715+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_ee68e050f4954059", + "problem_id": "v2p_n9_a40f093260ba585b", + "dataset_id": "n9", + "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=feature_4, group_col_2=feature_12.", + "bindings": { + "group_col": "feature_4", + "group_col_2": "feature_12", + "predicate_col": "feature_2", + "predicate_op": ">=", + "predicate_value": 100.0, + "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": 78.0, + "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=5", + "sql_variant_index=1/1", + "binding_index=52" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_ee68e050f4954059.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ee68e050f4954059", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 658, + "total_tokens": 15694, + "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": 14029.01, + "sql_execution_elapsed_ms_total": 4.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a8100c5dc84b5975f6d0842b9966e74891bc9be6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:33.026038+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14029.01, "started_at": "2026-05-19T15:42:18.996140+00:00", "ended_at": "2026-05-19T15:42:33.025186+00:00", "prompt_metrics": {"chars": 9704, "bytes_utf8": 9704, "lines": 304, "estimated_tokens": null}, "response_metrics": {"chars": 496, "bytes_utf8": 496, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15036, "cached_input_tokens": 13696, "output_tokens": 658, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"feature_4\\\", \\\"feature_12\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n9\\\"\\nWHERE CAST(\\\"feature_2\\\" AS REAL) >= 100.0\\nGROUP BY \\\"feature_4\\\", \\\"feature_12\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with group_col=\\\"feature_4\\\", group_col_2=\\\"feature_12\\\", and predicate on \\\"feature_2\\\". Cast \\\"feature_2\\\" to REAL because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4b35e57538d2e821511f8eebf37e52e4b367af6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ee68e050f4954059", + "api_calls": 0, + "input_tokens": 15036, + "cached_input_tokens": 13696, + "output_tokens": 658, + "total_tokens": 15694, + "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": 14029.01, + "sql_execution_elapsed_ms_total": 4.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ee68e050f4954059/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..670c7df6e0eff3f647b242c111c275e07894296c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/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": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_eef9b6c1f9418df7", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 15406, + "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": 9110.87, + "sql_execution_elapsed_ms_total": 6.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0ea82496bd8db9f6d0976679ceb17b8c4c46d700 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/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": "2026-05-19T15:47:55.590554+00:00", + "ended_at": "2026-05-19T15:48:04.701475+00:00", + "elapsed_ms": 9110.87, + "prompt_metrics": { + "chars": 9945, + "bytes_utf8": 9945, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1000, + "bytes_utf8": 1000, + "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": 633, + "bytes_utf8": 633, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15076, + "cached_input_tokens": 12032, + "output_tokens": 330, + "reasoning_output_tokens": 159 + } + }, + "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" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffca5129a267213c1d7076e61ae498f41891eaa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,300 @@ +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: . +- 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: n9 +- dataset_name: Pen Based Recognition Of Handwritten Digits +- table_name: n9 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `class`. +- task_type: classification +- target_column: class +- main_row_count: 10992 +- important_fields: +- feature_1: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 1. +- feature_2: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 2. +- feature_3: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 3. +- feature_4: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 4. +- feature_5: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 5. +- feature_6: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 6. +- feature_7: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 7. +- feature_8: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 8. +- feature_9: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 9. +- feature_10: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 10. +- feature_11: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 11. +- feature_12: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 12. +- feature_13: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 13. +- feature_14: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 14. +- feature_15: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 15. +- feature_16: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for feature 16. +- class: role=target, type=categorical_ordinal_target. ordered=['0', '2', '4', '7', '9'] tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for class. +- useful_field_combinations: [['feature_1', 'feature_2', 'class'], ['feature_1', 'feature_1', 'class']] +- fields_requiring_caution: ['class'] +- source_url: https://archive.ics.uci.edu/dataset/81/pen-based+recognition+of+handwritten+digits + +SQLite schema snapshot: +{ + "table_name": "n9", + "quoted_table_name": "\"n9\"", + "row_count": 10992, + "columns": [ + { + "name": "feature_1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_5", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_6", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_7", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_8", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_9", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_10", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_11", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_12", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_13", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_14", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_15", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "feature_16", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "feature_1": "0", + "feature_2": "58", + "feature_3": "18", + "feature_4": "26", + "feature_5": "49", + "feature_6": "0", + "feature_7": "86", + "feature_8": "18", + "feature_9": "100", + "feature_10": "50", + "feature_11": "86", + "feature_12": "82", + "feature_13": "45", + "feature_14": "100", + "feature_15": "17", + "feature_16": "77", + "class": "0" + }, + { + "feature_1": "0", + "feature_2": "99", + "feature_3": "51", + "feature_4": "100", + "feature_5": "100", + "feature_6": "96", + "feature_7": "72", + "feature_8": "59", + "feature_9": "56", + "feature_10": "16", + "feature_11": "41", + "feature_12": "0", + "feature_13": "24", + "feature_14": "39", + "feature_15": "81", + "feature_16": "50", + "class": "7" + }, + { + "feature_1": "0", + "feature_2": "88", + "feature_3": "44", + "feature_4": "100", + "feature_5": "100", + "feature_6": "85", + "feature_7": "88", + "feature_8": "45", + "feature_9": "60", + "feature_10": "8", + "feature_11": "25", + "feature_12": "0", + "feature_13": "32", + "feature_14": "25", + "feature_15": "98", + "feature_16": "27", + "class": "7" + }, + { + "feature_1": "63", + "feature_2": "100", + "feature_3": "31", + "feature_4": "80", + "feature_5": "0", + "feature_6": "49", + "feature_7": "70", + "feature_8": "50", + "feature_9": "100", + "feature_10": "67", + "feature_11": "68", + "feature_12": "90", + "feature_13": "45", + "feature_14": "45", + "feature_15": "29", + "feature_16": "0", + "class": "4" + }, + { + "feature_1": "3", + "feature_2": "72", + "feature_3": "26", + "feature_4": "100", + "feature_5": "50", + "feature_6": "80", + "feature_7": "31", + "feature_8": "48", + "feature_9": "0", + "feature_10": "19", + "feature_11": "13", + "feature_12": "12", + "feature_13": "65", + "feature_14": "0", + "feature_15": "100", + "feature_16": "17", + "class": "2" + } + ] +} + +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": "n9", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_9, measure_col=feature_13.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_13", + "top_k": 11, + "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": 68.0, + "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: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a3a8b9c0af1ca55aa5547e39dc41ee18e316f3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-1bb8-79e2-8865-135524824df7"} +{"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 \\\"feature_9\\\", SUM(CAST(\\\"feature_13\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_9\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_9\\\" and measure_col=\\\"feature_13\\\". CAST is used because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15076,"cached_input_tokens":12032,"output_tokens":330,"reasoning_output_tokens":159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3cdc5f04d8657c121a4ea22c9f501920a5f8c7a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_9, measure_col=feature_13. +Result preview: [{"feature_9": "100", "group_value": 90457.0}, {"feature_9": "0", "group_value": 64416.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..206f0f955fc7377ad8cc395094b22b59875e1039 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_eef9b6c1f9418df7 +-- problem_id: v2p_n9_0e96c3ae7d863b44 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "feature_9", SUM(CAST("feature_13" AS REAL)) AS group_value + FROM "n9" + GROUP BY "feature_9" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."feature_9", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c26986ee2017137ebb2dffd3e3861db6c99e9812 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/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_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"feature_9\", SUM(CAST(\"feature_13\" AS REAL)) AS group_value\n FROM \"n9\"\n GROUP BY \"feature_9\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"feature_9\", 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;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_9\\\", SUM(CAST(\\\"feature_13\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_9\\\", 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;\", \"columns\": [\"feature_9\", \"group_value\"], \"rows\": [{\"feature_9\": \"100\", \"group_value\": 90457.0}, {\"feature_9\": \"0\", \"group_value\": 64416.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cb82c8a4552c497a515748fdcc3d87e42be357df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:47:55.588309+00:00", + "ended_at": "2026-05-19T15:48:04.710867+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_eef9b6c1f9418df7", + "problem_id": "v2p_n9_0e96c3ae7d863b44", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_9, measure_col=feature_13.", + "bindings": { + "group_col": "feature_9", + "measure_col": "feature_13", + "top_k": 11, + "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": 68.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_eef9b6c1f9418df7.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_eef9b6c1f9418df7", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 15406, + "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": 9110.87, + "sql_execution_elapsed_ms_total": 6.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6967e81054a5b95f03f15329416cffda5f94343f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:04.702665+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9110.87, "started_at": "2026-05-19T15:47:55.590554+00:00", "ended_at": "2026-05-19T15:48:04.701475+00:00", "prompt_metrics": {"chars": 9945, "bytes_utf8": 9945, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 633, "bytes_utf8": 633, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 12032, "output_tokens": 330, "reasoning_output_tokens": 159}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"feature_9\\\", SUM(CAST(\\\"feature_13\\\" AS REAL)) AS group_value\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_9\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"feature_9\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"feature_9\\\" and measure_col=\\\"feature_13\\\". CAST is used because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6dc22b5effd65f28236a9ce4a533ad291abb4584 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_eef9b6c1f9418df7", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 15406, + "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": 9110.87, + "sql_execution_elapsed_ms_total": 6.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_eef9b6c1f9418df7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a35da7e65cda0252d6da7ea0970bf83b15bb59e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_1. +Result preview: [{"feature_1": "0", "row_count": 2364}, {"feature_1": "100", "row_count": 1143}, {"feature_1": "32", "row_count": 137}, {"feature_1": "26", "row_count": 129}, {"feature_1": "38", "row_count": 123}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6e6be1438a0fc98186c9fb391e8e31ed84174c44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n9_f10689617a003e3d +-- problem_id: v2p_n9_4507391c29fbc82e +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_1", COUNT(*) AS row_count +FROM "n9" +GROUP BY "feature_1" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b3c8d0ce75beab63b9d68caefc93e2ac0589146 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/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_clickbench_group_count\nSELECT \"feature_1\", COUNT(*) AS row_count\nFROM \"n9\"\nGROUP BY \"feature_1\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_1\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"feature_1\", \"row_count\"], \"rows\": [{\"feature_1\": \"0\", \"row_count\": 2364}, {\"feature_1\": \"100\", \"row_count\": 1143}, {\"feature_1\": \"32\", \"row_count\": 137}, {\"feature_1\": \"26\", \"row_count\": 129}, {\"feature_1\": \"38\", \"row_count\": 123}, {\"feature_1\": \"19\", \"row_count\": 120}, {\"feature_1\": \"16\", \"row_count\": 120}, {\"feature_1\": \"25\", \"row_count\": 117}, {\"feature_1\": \"23\", \"row_count\": 117}, {\"feature_1\": \"15\", \"row_count\": 117}, {\"feature_1\": \"30\", \"row_count\": 115}, {\"feature_1\": \"20\", \"row_count\": 115}, {\"feature_1\": \"31\", \"row_count\": 114}, {\"feature_1\": \"13\", \"row_count\": 113}, {\"feature_1\": \"29\", \"row_count\": 112}, {\"feature_1\": \"27\", \"row_count\": 112}, {\"feature_1\": \"42\", \"row_count\": 111}, {\"feature_1\": \"24\", \"row_count\": 110}, {\"feature_1\": \"35\", \"row_count\": 109}, {\"feature_1\": \"14\", \"row_count\": 109}, {\"feature_1\": \"33\", \"row_count\": 108}, {\"feature_1\": \"21\", \"row_count\": 108}, {\"feature_1\": \"12\", \"row_count\": 105}, {\"feature_1\": \"36\", \"row_count\": 103}, {\"feature_1\": \"40\", \"row_count\": 102}, {\"feature_1\": \"22\", \"row_count\": 102}, {\"feature_1\": \"34\", \"row_count\": 101}, {\"feature_1\": \"17\", \"row_count\": 101}, {\"feature_1\": \"11\", \"row_count\": 99}, {\"feature_1\": \"44\", \"row_count\": 95}, {\"feature_1\": \"46\", \"row_count\": 94}, {\"feature_1\": \"39\", \"row_count\": 93}, {\"feature_1\": \"7\", \"row_count\": 91}, {\"feature_1\": \"41\", \"row_count\": 89}, {\"feature_1\": \"45\", \"row_count\": 88}, {\"feature_1\": \"28\", \"row_count\": 88}, {\"feature_1\": \"9\", \"row_count\": 87}, {\"feature_1\": \"8\", \"row_count\": 86}, {\"feature_1\": \"55\", \"row_count\": 86}, {\"feature_1\": \"49\", \"row_count\": 86}, {\"feature_1\": \"37\", \"row_count\": 85}, {\"feature_1\": \"2\", \"row_count\": 85}, {\"feature_1\": \"43\", \"row_count\": 84}, {\"feature_1\": \"18\", \"row_count\": 84}, {\"feature_1\": \"48\", \"row_count\": 82}, {\"feature_1\": \"56\", \"row_count\": 81}, {\"feature_1\": \"53\", \"row_count\": 81}, {\"feature_1\": \"4\", \"row_count\": 79}, {\"feature_1\": \"6\", \"row_count\": 78}, {\"feature_1\": \"47\", \"row_count\": 78}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 10.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..58f8af1657b01b24bcd9cb1f923d98f74aa1fa63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:33:05.245793+00:00", + "ended_at": "2026-05-19T15:33:17.016749+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_f10689617a003e3d", + "problem_id": "v2p_n9_4507391c29fbc82e", + "dataset_id": "n9", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "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 Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_1.", + "bindings": { + "group_col": "feature_1", + "top_k": 12, + "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": 100.0, + "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" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=17" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_f10689617a003e3d.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f10689617a003e3d", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 193, + "total_tokens": 15104, + "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": 11754.18, + "sql_execution_elapsed_ms_total": 10.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..34c18ec5db8d0250fa94053524dafa1ebe735198 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:17.002820+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11754.18, "started_at": "2026-05-19T15:33:05.247141+00:00", "ended_at": "2026-05-19T15:33:17.001356+00:00", "prompt_metrics": {"chars": 9297, "bytes_utf8": 9297, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 289, "bytes_utf8": 289, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 12032, "output_tokens": 193, "reasoning_output_tokens": 110}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_1\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided Grouped Count by Category template with group_col bound to \\\"feature_1\\\" on the single table \\\"n9\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6ff93a9f1a7f65a013e98322055c107105d45fbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f10689617a003e3d", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 193, + "total_tokens": 15104, + "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": 11754.18, + "sql_execution_elapsed_ms_total": 10.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f10689617a003e3d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3ccd5c05711e56fcafeae3828bf96866852ff3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_12, condition_col=class. +Result preview: [{"feature_12": "86", "condition_rate": 0.4838709677419355}, {"feature_12": "61", "condition_rate": 0.43157894736842106}, {"feature_12": "63", "condition_rate": 0.35051546391752575}, {"feature_12": "60", "condition_rate": 0.34951456310679613}, {"feature_12": "65", "condition_rate": 0.3269230769230769}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6a9719df4aefbe87a0e6d4d746c98d230564ed1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_f4506e3dfaee1d4d +-- problem_id: v2p_n9_1286a6844b3d891a +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_12", + AVG(CASE WHEN "class" = '4' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "n9" +GROUP BY "feature_12" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..071b8e2322a6fb968717a7efe4f5bd047ff834be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/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_group_condition_rate\nSELECT \"feature_12\",\n AVG(CASE WHEN \"class\" = '4' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"n9\"\nGROUP BY \"feature_12\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_12\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"feature_12\", \"condition_rate\"], \"rows\": [{\"feature_12\": \"86\", \"condition_rate\": 0.4838709677419355}, {\"feature_12\": \"61\", \"condition_rate\": 0.43157894736842106}, {\"feature_12\": \"63\", \"condition_rate\": 0.35051546391752575}, {\"feature_12\": \"60\", \"condition_rate\": 0.34951456310679613}, {\"feature_12\": \"65\", \"condition_rate\": 0.3269230769230769}, {\"feature_12\": \"57\", \"condition_rate\": 0.32673267326732675}, {\"feature_12\": \"55\", \"condition_rate\": 0.3137254901960784}, {\"feature_12\": \"58\", \"condition_rate\": 0.31313131313131315}, {\"feature_12\": \"64\", \"condition_rate\": 0.3130434782608696}, {\"feature_12\": \"82\", \"condition_rate\": 0.3125}, {\"feature_12\": \"62\", \"condition_rate\": 0.3106796116504854}, {\"feature_12\": \"97\", \"condition_rate\": 0.3076923076923077}, {\"feature_12\": \"77\", \"condition_rate\": 0.29411764705882354}, {\"feature_12\": \"98\", \"condition_rate\": 0.2857142857142857}, {\"feature_12\": \"59\", \"condition_rate\": 0.2826086956521739}, {\"feature_12\": \"95\", \"condition_rate\": 0.28}, {\"feature_12\": \"84\", \"condition_rate\": 0.2777777777777778}, {\"feature_12\": \"45\", \"condition_rate\": 0.2777777777777778}, {\"feature_12\": \"53\", \"condition_rate\": 0.272}, {\"feature_12\": \"68\", \"condition_rate\": 0.27102803738317754}, {\"feature_12\": \"91\", \"condition_rate\": 0.2631578947368421}, {\"feature_12\": \"54\", \"condition_rate\": 0.2621359223300971}, {\"feature_12\": \"66\", \"condition_rate\": 0.25217391304347825}, {\"feature_12\": \"94\", \"condition_rate\": 0.25}, {\"feature_12\": \"90\", \"condition_rate\": 0.25}, {\"feature_12\": \"88\", \"condition_rate\": 0.25}, {\"feature_12\": \"78\", \"condition_rate\": 0.25}, {\"feature_12\": \"83\", \"condition_rate\": 0.24242424242424243}, {\"feature_12\": \"56\", \"condition_rate\": 0.23893805309734514}, {\"feature_12\": \"48\", \"condition_rate\": 0.2376237623762376}, {\"feature_12\": \"51\", \"condition_rate\": 0.23684210526315788}, {\"feature_12\": \"43\", \"condition_rate\": 0.23300970873786409}, {\"feature_12\": \"41\", \"condition_rate\": 0.22666666666666666}, {\"feature_12\": \"70\", \"condition_rate\": 0.2235294117647059}, {\"feature_12\": \"85\", \"condition_rate\": 0.2222222222222222}, {\"feature_12\": \"44\", \"condition_rate\": 0.2222222222222222}, {\"feature_12\": \"96\", \"condition_rate\": 0.21428571428571427}, {\"feature_12\": \"75\", \"condition_rate\": 0.2127659574468085}, {\"feature_12\": \"52\", \"condition_rate\": 0.2111111111111111}, {\"feature_12\": \"89\", \"condition_rate\": 0.20833333333333334}, {\"feature_12\": \"46\", \"condition_rate\": 0.20833333333333334}, {\"feature_12\": \"47\", \"condition_rate\": 0.20430107526881722}, {\"feature_12\": \"67\", \"condition_rate\": 0.20388349514563106}, {\"feature_12\": \"87\", \"condition_rate\": 0.2}, {\"feature_12\": \"42\", \"condition_rate\": 0.19607843137254902}, {\"feature_12\": \"79\", \"condition_rate\": 0.1956521739130435}, {\"feature_12\": \"74\", \"condition_rate\": 0.1956521739130435}, {\"feature_12\": \"69\", \"condition_rate\": 0.19230769230769232}, {\"feature_12\": \"72\", \"condition_rate\": 0.18421052631578946}, {\"feature_12\": \"73\", \"condition_rate\": 0.18055555555555555}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..479e05912d89f898e5e607ece0aeada58af17378 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:01:08.863118+00:00", + "ended_at": "2026-05-19T16:01:19.193285+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_f4506e3dfaee1d4d", + "problem_id": "v2p_n9_1286a6844b3d891a", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_12, condition_col=class.", + "bindings": { + "group_col": "feature_12", + "condition_col": "class", + "condition_value": "4", + "positive_value": "2", + "negative_value": "4", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 65.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_f4506e3dfaee1d4d.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f4506e3dfaee1d4d", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 422, + "total_tokens": 15419, + "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": 10319.95, + "sql_execution_elapsed_ms_total": 6.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..89e1d67b4db7022c12b20d24c53c7e75e13bb458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:19.184969+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10319.95, "started_at": "2026-05-19T16:01:08.864325+00:00", "ended_at": "2026-05-19T16:01:19.184296+00:00", "prompt_metrics": {"chars": 9630, "bytes_utf8": 9630, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 401, "bytes_utf8": 401, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 422, "reasoning_output_tokens": 307}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_12\\\",\\n AVG(CASE WHEN \\\"class\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_12\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"feature_12\\\" and condition_col=\\\"class\\\", measuring the rate of class='4' within each feature_12 group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5996948c5c87c56639f6616e33c284a5c72462ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f4506e3dfaee1d4d", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 422, + "total_tokens": 15419, + "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": 10319.95, + "sql_execution_elapsed_ms_total": 6.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f4506e3dfaee1d4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..80d96ec0547dfe14086fcce10eea37e688312355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_3. +Result preview: [{"feature_1": "1", "feature_4": "100", "total_measure": 1376.0, "share_within_group": 77.87209960384833}, {"feature_1": "14", "feature_4": "100", "total_measure": 2748.0, "share_within_group": 77.86908472655143}, {"feature_1": "15", "feature_4": "100", "total_measure": 2459.0, "share_within_group": 76.93992490613266}, {"feature_1": "16", "feature_4": "100", "total_measure": 2523.0, "share_within_group": 76.66362807657246}, {"feature_1": "26", "feature_4": "100", "total_measure": 2992.0, "share_within_group": 76.56090071647901}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..91ae0e2da50209ce703a2cac74ef436624a5310c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n9_f596b5fec512d245 +-- problem_id: v2p_n9_4ad644c9f56a6d74 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_1", "feature_4", + SUM(CAST("feature_3" AS REAL)) AS "total_measure", + SUM(CAST("feature_3" AS REAL)) * 100.0 / SUM(SUM(CAST("feature_3" AS REAL))) OVER (PARTITION BY "feature_1") AS "share_within_group" +FROM "n9" +GROUP BY "feature_1", "feature_4" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff4a9a2046f59fd79d0e054895c61a88d29a4d23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/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_tpcds_within_group_share\nSELECT \"feature_1\", \"feature_4\",\n SUM(CAST(\"feature_3\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"feature_3\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"feature_3\" AS REAL))) OVER (PARTITION BY \"feature_1\") AS \"share_within_group\"\nFROM \"n9\"\nGROUP BY \"feature_1\", \"feature_4\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_1\\\", \\\"feature_4\\\",\\n SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_4\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"feature_1\", \"feature_4\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"feature_1\": \"1\", \"feature_4\": \"100\", \"total_measure\": 1376.0, \"share_within_group\": 77.87209960384833}, {\"feature_1\": \"14\", \"feature_4\": \"100\", \"total_measure\": 2748.0, \"share_within_group\": 77.86908472655143}, {\"feature_1\": \"15\", \"feature_4\": \"100\", \"total_measure\": 2459.0, \"share_within_group\": 76.93992490613266}, {\"feature_1\": \"16\", \"feature_4\": \"100\", \"total_measure\": 2523.0, \"share_within_group\": 76.66362807657246}, {\"feature_1\": \"26\", \"feature_4\": \"100\", \"total_measure\": 2992.0, \"share_within_group\": 76.56090071647901}, {\"feature_1\": \"10\", \"feature_4\": \"100\", \"total_measure\": 1605.0, \"share_within_group\": 73.99723374827109}, {\"feature_1\": \"13\", \"feature_4\": \"100\", \"total_measure\": 2403.0, \"share_within_group\": 72.62012692656391}, {\"feature_1\": \"2\", \"feature_4\": \"100\", \"total_measure\": 1962.0, \"share_within_group\": 72.1588819418904}, {\"feature_1\": \"44\", \"feature_4\": \"100\", \"total_measure\": 2950.0, \"share_within_group\": 70.79433645308376}, {\"feature_1\": \"5\", \"feature_4\": \"100\", \"total_measure\": 1537.0, \"share_within_group\": 69.17191719171917}, {\"feature_1\": \"36\", \"feature_4\": \"100\", \"total_measure\": 2810.0, \"share_within_group\": 68.85567262925754}, {\"feature_1\": \"35\", \"feature_4\": \"100\", \"total_measure\": 2908.0, \"share_within_group\": 68.76330101678884}, {\"feature_1\": \"3\", \"feature_4\": \"100\", \"total_measure\": 1115.0, \"share_within_group\": 68.7422934648582}, {\"feature_1\": \"20\", \"feature_4\": \"100\", \"total_measure\": 2460.0, \"share_within_group\": 68.69589500139625}, {\"feature_1\": \"52\", \"feature_4\": \"100\", \"total_measure\": 2248.0, \"share_within_group\": 68.47395674687786}, {\"feature_1\": \"17\", \"feature_4\": \"100\", \"total_measure\": 1956.0, \"share_within_group\": 67.49482401656314}, {\"feature_1\": \"9\", \"feature_4\": \"100\", \"total_measure\": 1648.0, \"share_within_group\": 67.34777278299958}, {\"feature_1\": \"37\", \"feature_4\": \"100\", \"total_measure\": 2035.0, \"share_within_group\": 67.16171617161716}, {\"feature_1\": \"40\", \"feature_4\": \"100\", \"total_measure\": 2521.0, \"share_within_group\": 65.96023024594453}, {\"feature_1\": \"32\", \"feature_4\": \"100\", \"total_measure\": 3439.0, \"share_within_group\": 65.78041315990819}, {\"feature_1\": \"47\", \"feature_4\": \"100\", \"total_measure\": 2265.0, \"share_within_group\": 65.61413673232909}, {\"feature_1\": \"30\", \"feature_4\": \"100\", \"total_measure\": 2816.0, \"share_within_group\": 65.54934823091247}, {\"feature_1\": \"29\", \"feature_4\": \"100\", \"total_measure\": 2684.0, \"share_within_group\": 65.47938521590632}, {\"feature_1\": \"54\", \"feature_4\": \"100\", \"total_measure\": 2633.0, \"share_within_group\": 65.07661888284726}, {\"feature_1\": \"34\", \"feature_4\": \"100\", \"total_measure\": 2448.0, \"share_within_group\": 64.79618845950239}, {\"feature_1\": \"41\", \"feature_4\": \"100\", \"total_measure\": 2561.0, \"share_within_group\": 64.443885254152}, {\"feature_1\": \"23\", \"feature_4\": \"100\", \"total_measure\": 2442.0, \"share_within_group\": 64.41572144552889}, {\"feature_1\": \"8\", \"feature_4\": \"100\", \"total_measure\": 1816.0, \"share_within_group\": 64.19229409685401}, {\"feature_1\": \"38\", \"feature_4\": \"100\", \"total_measure\": 3280.0, \"share_within_group\": 63.93762183235867}, {\"feature_1\": \"21\", \"feature_4\": \"100\", \"total_measure\": 2009.0, \"share_within_group\": 63.215859030837}, {\"feature_1\": \"31\", \"feature_4\": \"100\", \"total_measure\": 2315.0, \"share_within_group\": 63.18231441048035}, {\"feature_1\": \"6\", \"feature_4\": \"100\", \"total_measure\": 1675.0, \"share_within_group\": 63.0410237109522}, {\"feature_1\": \"28\", \"feature_4\": \"100\", \"total_measure\": 2226.0, \"share_within_group\": 62.04013377926422}, {\"feature_1\": \"33\", \"feature_4\": \"100\", \"total_measure\": 2569.0, \"share_within_group\": 61.064891846921796}, {\"feature_1\": \"99\", \"feature_4\": \"100\", \"total_measure\": 1122.0, \"share_within_group\": 60.1931330472103}, {\"feature_1\": \"18\", \"feature_4\": \"100\", \"total_measure\": 1611.0, \"share_within_group\": 60.17930519237953}, {\"feature_1\": \"24\", \"feature_4\": \"100\", \"total_measure\": 2377.0, \"share_within_group\": 59.889140841521794}, {\"feature_1\": \"39\", \"feature_4\": \"100\", \"total_measure\": 2309.0, \"share_within_group\": 59.22031290074378}, {\"feature_1\": \"55\", \"feature_4\": \"100\", \"total_measure\": 2369.0, \"share_within_group\": 58.40729783037475}, {\"feature_1\": \"97\", \"feature_4\": \"100\", \"total_measure\": 1501.0, \"share_within_group\": 58.38195254764683}, {\"feature_1\": \"25\", \"feature_4\": \"100\", \"total_measure\": 2314.0, \"share_within_group\": 58.09691187547075}, {\"feature_1\": \"4\", \"feature_4\": \"100\", \"total_measure\": 1489.0, \"share_within_group\": 57.870190439176056}, {\"feature_1\": \"12\", \"feature_4\": \"100\", \"total_measure\": 1920.0, \"share_within_group\": 57.43344301525576}, {\"feature_1\": \"51\", \"feature_4\": \"100\", \"total_measure\": 2062.0, \"share_within_group\": 57.27777777777778}, {\"feature_1\": \"94\", \"feature_4\": \"100\", \"total_measure\": 796.0, \"share_within_group\": 56.93848354792561}, {\"feature_1\": \"42\", \"feature_4\": \"100\", \"total_measure\": 2454.0, \"share_within_group\": 56.20705451213926}, {\"feature_1\": \"98\", \"feature_4\": \"100\", \"total_measure\": 987.0, \"share_within_group\": 55.54305008441193}, {\"feature_1\": \"11\", \"feature_4\": \"100\", \"total_measure\": 1459.0, \"share_within_group\": 55.39104024297646}, {\"feature_1\": \"65\", \"feature_4\": \"100\", \"total_measure\": 1383.0, \"share_within_group\": 54.968203497615264}, {\"feature_1\": \"27\", \"feature_4\": \"100\", \"total_measure\": 1944.0, \"share_within_group\": 54.745142213460994}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 18.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6c41941352cbf3ea05ff4504a244f0d1bd253f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:39:26.260615+00:00", + "ended_at": "2026-05-19T15:39:40.636785+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_f596b5fec512d245", + "problem_id": "v2p_n9_4ad644c9f56a6d74", + "dataset_id": "n9", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=feature_1, measure_col=feature_3.", + "bindings": { + "group_col": "feature_1", + "measure_col": "feature_3", + "item_col": "feature_4", + "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": 52.0, + "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", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=2/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_f596b5fec512d245.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f596b5fec512d245", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 674, + "total_tokens": 15733, + "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": 14354.18, + "sql_execution_elapsed_ms_total": 18.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..acff8860e1ed619154bde67171119f4e42fe8e17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:40.616957+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14354.18, "started_at": "2026-05-19T15:39:26.261976+00:00", "ended_at": "2026-05-19T15:39:40.616192+00:00", "prompt_metrics": {"chars": 9797, "bytes_utf8": 9797, "lines": 302, "estimated_tokens": null}, "response_metrics": {"chars": 609, "bytes_utf8": 609, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15059, "cached_input_tokens": 12032, "output_tokens": 674, "reasoning_output_tokens": 493}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"feature_1\\\", \\\"feature_4\\\",\\n SUM(CAST(\\\"feature_3\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"feature_3\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"feature_3\\\" AS REAL))) OVER (PARTITION BY \\\"feature_1\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\", \\\"feature_4\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the Within-Group Share of Total template with group_col=\\\"feature_1\\\", item_col=\\\"feature_4\\\", and measure_col=\\\"feature_3\\\". The measure is cast from TEXT to REAL for numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a4b7adda33804edbace3c78e88fa175ad2c4dc4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f596b5fec512d245", + "api_calls": 0, + "input_tokens": 15059, + "cached_input_tokens": 12032, + "output_tokens": 674, + "total_tokens": 15733, + "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": 14354.18, + "sql_execution_elapsed_ms_total": 18.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f596b5fec512d245/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7bd8b442f24379d01c757de754f5fca2d51e3714 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_16, condition_col=class. +Result preview: [{"feature_16": "1", "condition_rate": 0.39473684210526316}, {"feature_16": "4", "condition_rate": 0.3475609756097561}, {"feature_16": "3", "condition_rate": 0.3448275862068966}, {"feature_16": "6", "condition_rate": 0.2876712328767123}, {"feature_16": "2", "condition_rate": 0.2864864864864865}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..518bde324ce86af0122c1ca32908463a219300fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_f5e1eebe605c95f0 +-- problem_id: v2p_n9_1c693c15d5c7309f +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_16", + AVG(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS condition_rate +FROM "n9" +GROUP BY "feature_16" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f06fdabff56981910e1abb1b9d429ac9fdbeea59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/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_group_condition_rate\nSELECT \"feature_16\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_16\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_16\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"feature_16\", \"condition_rate\"], \"rows\": [{\"feature_16\": \"1\", \"condition_rate\": 0.39473684210526316}, {\"feature_16\": \"4\", \"condition_rate\": 0.3475609756097561}, {\"feature_16\": \"3\", \"condition_rate\": 0.3448275862068966}, {\"feature_16\": \"6\", \"condition_rate\": 0.2876712328767123}, {\"feature_16\": \"2\", \"condition_rate\": 0.2864864864864865}, {\"feature_16\": \"7\", \"condition_rate\": 0.25165562913907286}, {\"feature_16\": \"11\", \"condition_rate\": 0.22772277227722773}, {\"feature_16\": \"5\", \"condition_rate\": 0.21142857142857144}, {\"feature_16\": \"10\", \"condition_rate\": 0.19626168224299065}, {\"feature_16\": \"8\", \"condition_rate\": 0.19148936170212766}, {\"feature_16\": \"17\", \"condition_rate\": 0.18571428571428572}, {\"feature_16\": \"14\", \"condition_rate\": 0.1686746987951807}, {\"feature_16\": \"12\", \"condition_rate\": 0.16216216216216217}, {\"feature_16\": \"9\", \"condition_rate\": 0.1553398058252427}, {\"feature_16\": \"16\", \"condition_rate\": 0.13636363636363635}, {\"feature_16\": \"0\", \"condition_rate\": 0.1327893175074184}, {\"feature_16\": \"19\", \"condition_rate\": 0.13131313131313133}, {\"feature_16\": \"15\", \"condition_rate\": 0.12941176470588237}, {\"feature_16\": \"20\", \"condition_rate\": 0.12857142857142856}, {\"feature_16\": \"18\", \"condition_rate\": 0.10606060606060606}, {\"feature_16\": \"23\", \"condition_rate\": 0.1044776119402985}, {\"feature_16\": \"13\", \"condition_rate\": 0.0967741935483871}, {\"feature_16\": \"21\", \"condition_rate\": 0.08928571428571429}, {\"feature_16\": \"22\", \"condition_rate\": 0.07692307692307693}, {\"feature_16\": \"31\", \"condition_rate\": 0.06349206349206349}, {\"feature_16\": \"26\", \"condition_rate\": 0.05555555555555555}, {\"feature_16\": \"32\", \"condition_rate\": 0.04477611940298507}, {\"feature_16\": \"30\", \"condition_rate\": 0.03278688524590164}, {\"feature_16\": \"25\", \"condition_rate\": 0.029411764705882353}, {\"feature_16\": \"24\", \"condition_rate\": 0.01818181818181818}, {\"feature_16\": \"40\", \"condition_rate\": 0.01639344262295082}, {\"feature_16\": \"29\", \"condition_rate\": 0.016129032258064516}, {\"feature_16\": \"34\", \"condition_rate\": 0.014925373134328358}, {\"feature_16\": \"33\", \"condition_rate\": 0.014925373134328358}, {\"feature_16\": \"38\", \"condition_rate\": 0.013888888888888888}, {\"feature_16\": \"99\", \"condition_rate\": 0.0}, {\"feature_16\": \"98\", \"condition_rate\": 0.0}, {\"feature_16\": \"97\", \"condition_rate\": 0.0}, {\"feature_16\": \"96\", \"condition_rate\": 0.0}, {\"feature_16\": \"95\", \"condition_rate\": 0.0}, {\"feature_16\": \"94\", \"condition_rate\": 0.0}, {\"feature_16\": \"93\", \"condition_rate\": 0.0}, {\"feature_16\": \"92\", \"condition_rate\": 0.0}, {\"feature_16\": \"91\", \"condition_rate\": 0.0}, {\"feature_16\": \"90\", \"condition_rate\": 0.0}, {\"feature_16\": \"89\", \"condition_rate\": 0.0}, {\"feature_16\": \"88\", \"condition_rate\": 0.0}, {\"feature_16\": \"87\", \"condition_rate\": 0.0}, {\"feature_16\": \"86\", \"condition_rate\": 0.0}, {\"feature_16\": \"85\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..344bd050f51a961bb61fb396ea7e54985362df0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:02:22.830341+00:00", + "ended_at": "2026-05-19T16:02:37.427638+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_f5e1eebe605c95f0", + "problem_id": "v2p_n9_1c693c15d5c7309f", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=feature_16, condition_col=class.", + "bindings": { + "group_col": "feature_16", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 10, + "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": 78.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_f5e1eebe605c95f0.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f5e1eebe605c95f0", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 612, + "total_tokens": 15610, + "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": 14580.91, + "sql_execution_elapsed_ms_total": 11.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85c86de29ab871ab1f8c4a0d3bac3ba14a3f64d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:37.413707+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14580.91, "started_at": "2026-05-19T16:02:22.831468+00:00", "ended_at": "2026-05-19T16:02:37.412410+00:00", "prompt_metrics": {"chars": 9633, "bytes_utf8": 9633, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14998, "cached_input_tokens": 12032, "output_tokens": 612, "reasoning_output_tokens": 504}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_16\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the within-group proportion of rows with \\\"class\\\" = '2' for each \\\"feature_16\\\" value, following the Grouped Condition Rate template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..af03d312339cd8816293dc73763ac64bab3c2ed3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f5e1eebe605c95f0", + "api_calls": 0, + "input_tokens": 14998, + "cached_input_tokens": 12032, + "output_tokens": 612, + "total_tokens": 15610, + "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": 14580.91, + "sql_execution_elapsed_ms_total": 11.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f5e1eebe605c95f0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8211af04d6a8a75138b2156b2605cae61817153 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_14, measure_col=feature_2. +Result preview: [{"feature_14": "0", "group_value": 144150.0}, {"feature_14": "100", "group_value": 74521.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8433e2bfabda1e926f8f5611c66fe71b9ce6567 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n9_f68981d7e5f043de +-- problem_id: v2p_n9_3f975c644de900b6 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "feature_14", + SUM(CAST("feature_2" AS REAL)) AS "group_value" + FROM "n9" + GROUP BY "feature_14" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."feature_14", + g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7ef5fd64a01aa44d35896e3c4a424a12deefee43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/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_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"feature_14\",\n SUM(CAST(\"feature_2\" AS REAL)) AS \"group_value\"\n FROM \"n9\"\n GROUP BY \"feature_14\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"feature_14\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_14\\\",\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_14\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_14\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"feature_14\", \"group_value\"], \"rows\": [{\"feature_14\": \"0\", \"group_value\": 144150.0}, {\"feature_14\": \"100\", \"group_value\": 74521.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f51121100c35311aae1cd23c306df1c055924ba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:50:23.869376+00:00", + "ended_at": "2026-05-19T15:50:38.262458+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_f68981d7e5f043de", + "problem_id": "v2p_n9_3f975c644de900b6", + "dataset_id": "n9", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "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 Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=feature_14, measure_col=feature_2.", + "bindings": { + "group_col": "feature_14", + "measure_col": "feature_2", + "top_k": 16, + "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": 96.0, + "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": "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;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_f68981d7e5f043de.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f68981d7e5f043de", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 669, + "total_tokens": 15745, + "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": 14381.97, + "sql_execution_elapsed_ms_total": 7.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..52931e03fd7f9fdcf1952377bccb6afde484179c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:38.253780+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14381.97, "started_at": "2026-05-19T15:50:23.870619+00:00", "ended_at": "2026-05-19T15:50:38.252621+00:00", "prompt_metrics": {"chars": 9947, "bytes_utf8": 9947, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 697, "bytes_utf8": 697, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15076, "cached_input_tokens": 13696, "output_tokens": 669, "reasoning_output_tokens": 461}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"feature_14\\\",\\n SUM(CAST(\\\"feature_2\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_14\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"feature_14\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applies the Relative-to-Total Extreme Threshold template with group_col=\\\"feature_14\\\" and measure_col=\\\"feature_2\\\", casting the measure to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9230ed5cc5d04d36c5c0343c12b5b0e9e9a14e36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f68981d7e5f043de", + "api_calls": 0, + "input_tokens": 15076, + "cached_input_tokens": 13696, + "output_tokens": 669, + "total_tokens": 15745, + "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": 14381.97, + "sql_execution_elapsed_ms_total": 7.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f68981d7e5f043de/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2314b7cb1ed08f812398f79496950851928b9103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_4. +Result preview: [{"feature_4": "6", "support": 1}, {"feature_4": "7", "support": 1}, {"feature_4": "13", "support": 2}, {"feature_4": "17", "support": 2}, {"feature_4": "19", "support": 2}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..702a8072565672ab4219aa29d1b485b410f0fde5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_n9_f985f160ec9b97bf +-- problem_id: v2p_n9_a3e1a8ac77cc9afc +-- realization_mode: agent +-- source_kind: agent +SELECT + "feature_4", + COUNT(*) AS "support" +FROM "n9" +GROUP BY "feature_4" +ORDER BY "support" ASC, "feature_4" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d97b2733efedb29f039fbd9fbd8c1fbe3412544d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"feature_4\",\n COUNT(*) AS \"support\"\nFROM \"n9\"\nGROUP BY \"feature_4\"\nORDER BY \"support\" ASC, \"feature_4\"\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_4\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_4\\\"\\nLIMIT 12;\", \"columns\": [\"feature_4\", \"support\"], \"rows\": [{\"feature_4\": \"6\", \"support\": 1}, {\"feature_4\": \"7\", \"support\": 1}, {\"feature_4\": \"13\", \"support\": 2}, {\"feature_4\": \"17\", \"support\": 2}, {\"feature_4\": \"19\", \"support\": 2}, {\"feature_4\": \"12\", \"support\": 3}, {\"feature_4\": \"23\", \"support\": 3}, {\"feature_4\": \"4\", \"support\": 3}, {\"feature_4\": \"11\", \"support\": 4}, {\"feature_4\": \"15\", \"support\": 4}, {\"feature_4\": \"2\", \"support\": 4}, {\"feature_4\": \"22\", \"support\": 4}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..183d99c7554e68210545aaa364c4e1b7a8e94b4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:05:41.267527+00:00", + "ended_at": "2026-05-19T16:05:57.742728+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_f985f160ec9b97bf", + "problem_id": "v2p_n9_a3e1a8ac77cc9afc", + "dataset_id": "n9", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=feature_4.", + "bindings": { + "group_col": "feature_4", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 97.0, + "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" + ], + "coverage_target_min": "5", + "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};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_f985f160ec9b97bf.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f985f160ec9b97bf", + "api_calls": 0, + "input_tokens": 14949, + "cached_input_tokens": 13696, + "output_tokens": 513, + "total_tokens": 15462, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15464.95, + "sql_execution_elapsed_ms_total": 4.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..707f73c747691f4a9583890a396c2d3e6d811421 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:44.805535+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3536.15, "started_at": "2026-05-19T16:05:41.268616+00:00", "ended_at": "2026-05-19T16:05:44.804792+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-5e1e-7263-bd86-e11e1667f117\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:57.736941+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11928.8, "started_at": "2026-05-19T16:05:45.807396+00:00", "ended_at": "2026-05-19T16:05:57.736237+00:00", "prompt_metrics": {"chars": 9376, "bytes_utf8": 9376, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 348, "bytes_utf8": 348, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14949, "cached_input_tokens": 13696, "output_tokens": 513, "reasoning_output_tokens": 411}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"feature_4\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_4\\\"\\nORDER BY \\\"support\\\" ASC, \\\"feature_4\\\"\\nLIMIT 12;\",\"notes\":\"Uses the planned Low-Support Group Count template with \\\"feature_4\\\" as the grouping column and returns the 12 least-supported groups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..755284a3a4ab12824798833d11e3450f0b2c7732 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_f985f160ec9b97bf", + "api_calls": 0, + "input_tokens": 14949, + "cached_input_tokens": 13696, + "output_tokens": 513, + "total_tokens": 15462, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15464.95, + "sql_execution_elapsed_ms_total": 4.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_f985f160ec9b97bf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..86af35f3f1fcc7cc99c45ce82b0635162f8e7295 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_16. +Result preview: [{"feature_16": 100.0}, {"feature_16": 100.0}, {"feature_16": 100.0}, {"feature_16": 100.0}, {"feature_16": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7b5dfd2c599f51240e0bbd1f9658f32e5ee8885c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n9_fc2e1b951048317b +-- problem_id: v2p_n9_ad5ef7f2b77764be +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("feature_16" AS REAL) AS "feature_16", + NTILE(10) OVER (ORDER BY CAST("feature_16" AS REAL) DESC) AS "tail_bucket" + FROM "n9" +) +SELECT "feature_16" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "feature_16" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce1ab37dadb97de32f9ddcba31f7dc1540603fdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/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_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"feature_16\" AS REAL) AS \"feature_16\",\n NTILE(10) OVER (ORDER BY CAST(\"feature_16\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n9\"\n)\nSELECT \"feature_16\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"feature_16\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"feature_16\\\" AS REAL) AS \\\"feature_16\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_16\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_16\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_16\\\" DESC;\", \"columns\": [\"feature_16\"], \"rows\": [{\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}, {\"feature_16\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 19.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b05dd3e92ca84c21746a1bc50a8c58c7d58f6f96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:44:29.219970+00:00", + "ended_at": "2026-05-19T15:44:39.682327+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_fc2e1b951048317b", + "problem_id": "v2p_n9_ad5ef7f2b77764be", + "dataset_id": "n9", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_16.", + "bindings": { + "measure_col": "feature_16", + "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": 51.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=63" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_fc2e1b951048317b.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_fc2e1b951048317b", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 482, + "total_tokens": 15473, + "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": 10439.4, + "sql_execution_elapsed_ms_total": 19.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ed32f506fa5aa78c07137fe3f770b136e0263a80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:39.661234+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10439.4, "started_at": "2026-05-19T15:44:29.221079+00:00", "ended_at": "2026-05-19T15:44:39.660502+00:00", "prompt_metrics": {"chars": 9559, "bytes_utf8": 9559, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 547, "bytes_utf8": 547, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14991, "cached_input_tokens": 13696, "output_tokens": 482, "reasoning_output_tokens": 326}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"feature_16\\\" AS REAL) AS \\\"feature_16\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"feature_16\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n9\\\"\\n)\\nSELECT \\\"feature_16\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"feature_16\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to feature_16 and num_tiles=10. CAST is used because the schema stores feature_16 as TEXT, but the task treats it as a numeric measure.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9cf5c3fff7b34f6c047145346897f4644b662af3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_fc2e1b951048317b", + "api_calls": 0, + "input_tokens": 14991, + "cached_input_tokens": 13696, + "output_tokens": 482, + "total_tokens": 15473, + "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": 10439.4, + "sql_execution_elapsed_ms_total": 19.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc2e1b951048317b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad28652ef0a1fa2245be8d0b886f918749141649 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_16. +Result preview: [{"feature_16": "0", "row_count": 4044}, {"feature_16": "100", "row_count": 759}, {"feature_16": "1", "row_count": 228}, {"feature_16": "2", "row_count": 185}, {"feature_16": "5", "row_count": 175}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..12209e235e2f23e1272969079c6f8cea0719b875 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n9_fc69058e0c04deb5 +-- problem_id: v2p_n9_1c4daf76e597ba91 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_16", COUNT(*) AS row_count +FROM "n9" +GROUP BY "feature_16" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7285933ab1f2c037bfdceb8f342ff6cdc8907a5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/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_clickbench_group_count\nSELECT \"feature_16\", COUNT(*) AS row_count\nFROM \"n9\"\nGROUP BY \"feature_16\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_16\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"feature_16\", \"row_count\"], \"rows\": [{\"feature_16\": \"0\", \"row_count\": 4044}, {\"feature_16\": \"100\", \"row_count\": 759}, {\"feature_16\": \"1\", \"row_count\": 228}, {\"feature_16\": \"2\", \"row_count\": 185}, {\"feature_16\": \"5\", \"row_count\": 175}, {\"feature_16\": \"3\", \"row_count\": 174}, {\"feature_16\": \"4\", \"row_count\": 164}, {\"feature_16\": \"7\", \"row_count\": 151}, {\"feature_16\": \"6\", \"row_count\": 146}, {\"feature_16\": \"8\", \"row_count\": 141}, {\"feature_16\": \"12\", \"row_count\": 111}, {\"feature_16\": \"10\", \"row_count\": 107}, {\"feature_16\": \"9\", \"row_count\": 103}, {\"feature_16\": \"11\", \"row_count\": 101}, {\"feature_16\": \"19\", \"row_count\": 99}, {\"feature_16\": \"13\", \"row_count\": 93}, {\"feature_16\": \"16\", \"row_count\": 88}, {\"feature_16\": \"99\", \"row_count\": 85}, {\"feature_16\": \"98\", \"row_count\": 85}, {\"feature_16\": \"15\", \"row_count\": 85}, {\"feature_16\": \"14\", \"row_count\": 83}, {\"feature_16\": \"38\", \"row_count\": 72}, {\"feature_16\": \"37\", \"row_count\": 71}, {\"feature_16\": \"20\", \"row_count\": 70}, {\"feature_16\": \"17\", \"row_count\": 70}, {\"feature_16\": \"28\", \"row_count\": 69}, {\"feature_16\": \"25\", \"row_count\": 68}, {\"feature_16\": \"95\", \"row_count\": 67}, {\"feature_16\": \"34\", \"row_count\": 67}, {\"feature_16\": \"33\", \"row_count\": 67}, {\"feature_16\": \"32\", \"row_count\": 67}, {\"feature_16\": \"23\", \"row_count\": 67}, {\"feature_16\": \"18\", \"row_count\": 66}, {\"feature_16\": \"39\", \"row_count\": 65}, {\"feature_16\": \"22\", \"row_count\": 65}, {\"feature_16\": \"97\", \"row_count\": 64}, {\"feature_16\": \"94\", \"row_count\": 64}, {\"feature_16\": \"96\", \"row_count\": 63}, {\"feature_16\": \"36\", \"row_count\": 63}, {\"feature_16\": \"31\", \"row_count\": 63}, {\"feature_16\": \"29\", \"row_count\": 62}, {\"feature_16\": \"88\", \"row_count\": 61}, {\"feature_16\": \"40\", \"row_count\": 61}, {\"feature_16\": \"35\", \"row_count\": 61}, {\"feature_16\": \"30\", \"row_count\": 61}, {\"feature_16\": \"86\", \"row_count\": 60}, {\"feature_16\": \"27\", \"row_count\": 60}, {\"feature_16\": \"84\", \"row_count\": 59}, {\"feature_16\": \"42\", \"row_count\": 59}, {\"feature_16\": \"92\", \"row_count\": 56}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..30f460edd9635a3b9099dd25b571be6b5ec8bb56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:32:45.247748+00:00", + "ended_at": "2026-05-19T15:32:55.545389+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_fc69058e0c04deb5", + "problem_id": "v2p_n9_1c4daf76e597ba91", + "dataset_id": "n9", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "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 Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=feature_16.", + "bindings": { + "group_col": "feature_16", + "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": 51.0, + "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" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=15" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_fc69058e0c04deb5.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_fc69058e0c04deb5", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 206, + "total_tokens": 15117, + "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": 10281.8, + "sql_execution_elapsed_ms_total": 9.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..08062cdf44735c1c08a8e23e57a9fa867ce576b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:55.533345+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10281.8, "started_at": "2026-05-19T15:32:45.250268+00:00", "ended_at": "2026-05-19T15:32:55.532115+00:00", "prompt_metrics": {"chars": 9298, "bytes_utf8": 9298, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 295, "bytes_utf8": 295, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14911, "cached_input_tokens": 12032, "output_tokens": 206, "reasoning_output_tokens": 123}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"feature_16\\\", COUNT(*) AS row_count\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_16\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided Grouped Count by Category template with group_col bound to \\\"feature_16\\\" on the single table \\\"n9\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..01e069d41b1f07bcb72c84c3b9c16f7447d03f45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_fc69058e0c04deb5", + "api_calls": 0, + "input_tokens": 14911, + "cached_input_tokens": 12032, + "output_tokens": 206, + "total_tokens": 15117, + "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": 10281.8, + "sql_execution_elapsed_ms_total": 9.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fc69058e0c04deb5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..59a6cfcadd4e58dd58ad8ef3e3190f15f3270364 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 1568, "support_share": 0.14264919941775836, "cumulative_support": 1568}, {"value_label": "100", "support": 1155, "support_share": 0.1050764192139738, "cumulative_support": 2723}, {"value_label": "66", "support": 159, "support_share": 0.014465065502183407, "cumulative_support": 2882}, {"value_label": "68", "support": 130, "support_share": 0.011826783114992722, "cumulative_support": 3012}, {"value_label": "65", "support": 128, "support_share": 0.011644832605531296, "cumulative_support": 3140}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..269ec64a442e2721037753913f238c08c316b095 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n9_fd2b48bd5846e5f3 +-- problem_id: v2p_n9_082a34fa24319087 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "feature_5" AS value_label, COUNT(*) AS support + FROM "n9" + GROUP BY "feature_5" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b84bf7a64becffaf7d699d9f193280fc9f4d108 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n9_fd2b48bd5846e5f3\n-- problem_id: v2p_n9_082a34fa24319087\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"feature_5\" AS value_label, COUNT(*) AS support\n FROM \"n9\"\n GROUP BY \"feature_5\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n9_fd2b48bd5846e5f3\\n-- problem_id: v2p_n9_082a34fa24319087\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"feature_5\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n9\\\"\\n GROUP BY \\\"feature_5\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 1568, \"support_share\": 0.14264919941775836, \"cumulative_support\": 1568}, {\"value_label\": \"100\", \"support\": 1155, \"support_share\": 0.1050764192139738, \"cumulative_support\": 2723}, {\"value_label\": \"66\", \"support\": 159, \"support_share\": 0.014465065502183407, \"cumulative_support\": 2882}, {\"value_label\": \"68\", \"support\": 130, \"support_share\": 0.011826783114992722, \"cumulative_support\": 3012}, {\"value_label\": \"65\", \"support\": 128, \"support_share\": 0.011644832605531296, \"cumulative_support\": 3140}, {\"value_label\": \"62\", \"support\": 127, \"support_share\": 0.011553857350800582, \"cumulative_support\": 3267}, {\"value_label\": \"60\", \"support\": 120, \"support_share\": 0.010917030567685589, \"cumulative_support\": 3387}, {\"value_label\": \"64\", \"support\": 114, \"support_share\": 0.01037117903930131, \"cumulative_support\": 3501}, {\"value_label\": \"67\", \"support\": 114, \"support_share\": 0.01037117903930131, \"cumulative_support\": 3615}, {\"value_label\": \"61\", \"support\": 113, \"support_share\": 0.010280203784570598, \"cumulative_support\": 3728}, {\"value_label\": \"70\", \"support\": 112, \"support_share\": 0.010189228529839884, \"cumulative_support\": 3840}, {\"value_label\": \"73\", \"support\": 111, \"support_share\": 0.01009825327510917, \"cumulative_support\": 3951}, {\"value_label\": \"74\", \"support\": 111, \"support_share\": 0.01009825327510917, \"cumulative_support\": 4062}, {\"value_label\": \"76\", \"support\": 110, \"support_share\": 0.010007278020378457, \"cumulative_support\": 4172}, {\"value_label\": \"69\", \"support\": 107, \"support_share\": 0.009734352256186317, \"cumulative_support\": 4279}, {\"value_label\": \"81\", \"support\": 106, \"support_share\": 0.009643377001455605, \"cumulative_support\": 4385}, {\"value_label\": \"52\", \"support\": 105, \"support_share\": 0.00955240174672489, \"cumulative_support\": 4490}, {\"value_label\": \"59\", \"support\": 105, \"support_share\": 0.00955240174672489, \"cumulative_support\": 4595}, {\"value_label\": \"78\", \"support\": 105, \"support_share\": 0.00955240174672489, \"cumulative_support\": 4700}, {\"value_label\": \"22\", \"support\": 104, \"support_share\": 0.009461426491994178, \"cumulative_support\": 4804}, {\"value_label\": \"57\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 4906}, {\"value_label\": \"63\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 5008}, {\"value_label\": \"71\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 5110}, {\"value_label\": \"77\", \"support\": 102, \"support_share\": 0.009279475982532752, \"cumulative_support\": 5212}, {\"value_label\": \"56\", \"support\": 99, \"support_share\": 0.009006550218340612, \"cumulative_support\": 5311}, {\"value_label\": \"54\", \"support\": 98, \"support_share\": 0.008915574963609897, \"cumulative_support\": 5409}, {\"value_label\": \"58\", \"support\": 98, \"support_share\": 0.008915574963609897, \"cumulative_support\": 5507}, {\"value_label\": \"79\", \"support\": 98, \"support_share\": 0.008915574963609897, \"cumulative_support\": 5605}, {\"value_label\": \"49\", \"support\": 97, \"support_share\": 0.008824599708879185, \"cumulative_support\": 5702}, {\"value_label\": \"55\", \"support\": 97, \"support_share\": 0.008824599708879185, \"cumulative_support\": 5799}, {\"value_label\": \"83\", \"support\": 96, \"support_share\": 0.008733624454148471, \"cumulative_support\": 5895}, {\"value_label\": \"50\", \"support\": 94, \"support_share\": 0.008551673944687045, \"cumulative_support\": 5989}, {\"value_label\": \"47\", \"support\": 93, \"support_share\": 0.008460698689956333, \"cumulative_support\": 6082}, {\"value_label\": \"72\", \"support\": 92, \"support_share\": 0.008369723435225618, \"cumulative_support\": 6174}, {\"value_label\": \"19\", \"support\": 91, \"support_share\": 0.008278748180494906, \"cumulative_support\": 6265}, {\"value_label\": \"82\", \"support\": 91, \"support_share\": 0.008278748180494906, \"cumulative_support\": 6356}, {\"value_label\": \"45\", \"support\": 90, \"support_share\": 0.008187772925764192, \"cumulative_support\": 6446}, {\"value_label\": \"38\", \"support\": 89, \"support_share\": 0.008096797671033478, \"cumulative_support\": 6535}, {\"value_label\": \"16\", \"support\": 88, \"support_share\": 0.008005822416302766, \"cumulative_support\": 6623}, {\"value_label\": \"88\", \"support\": 88, \"support_share\": 0.008005822416302766, \"cumulative_support\": 6711}, {\"value_label\": \"48\", \"support\": 87, \"support_share\": 0.007914847161572052, \"cumulative_support\": 6798}, {\"value_label\": \"51\", \"support\": 87, \"support_share\": 0.007914847161572052, \"cumulative_support\": 6885}, {\"value_label\": \"53\", \"support\": 87, \"support_share\": 0.007914847161572052, \"cumulative_support\": 6972}, {\"value_label\": \"85\", \"support\": 86, \"support_share\": 0.00782387190684134, \"cumulative_support\": 7058}, {\"value_label\": \"11\", \"support\": 85, \"support_share\": 0.007732896652110626, \"cumulative_support\": 7143}, {\"value_label\": \"26\", \"support\": 85, \"support_share\": 0.007732896652110626, \"cumulative_support\": 7228}, {\"value_label\": \"92\", \"support\": 84, \"support_share\": 0.007641921397379912, \"cumulative_support\": 7312}, {\"value_label\": \"21\", \"support\": 82, \"support_share\": 0.007459970887918486, \"cumulative_support\": 7394}, {\"value_label\": \"18\", \"support\": 81, \"support_share\": 0.007368995633187773, \"cumulative_support\": 7475}, {\"value_label\": \"44\", \"support\": 81, \"support_share\": 0.007368995633187773, \"cumulative_support\": 7556}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dca1134fb0a1ca75dbd1950dbc7b24a8545ae9de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.730355+00:00", + "ended_at": "2026-05-19T16:10:15.735795+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_fd2b48bd5846e5f3", + "problem_id": "v2p_n9_082a34fa24319087", + "dataset_id": "n9", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=feature_5.", + "bindings": { + "group_col": "feature_5" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_fd2b48bd5846e5f3.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fd2b48bd5846e5f3/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecdaafbd1de329219252f2d6ab16314da991bf4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_13, condition_col=class. +Result preview: [{"feature_13": "50", "condition_rate": 0.4040632054176072}, {"feature_13": "66", "condition_rate": 0.2857142857142857}, {"feature_13": "51", "condition_rate": 0.23961661341853036}, {"feature_13": "65", "condition_rate": 0.2318840579710145}, {"feature_13": "49", "condition_rate": 0.23154362416107382}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..231048d8d82f891ca74de5e364d7964479fe81be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_n9_fe31b5886cd52dc2 +-- problem_id: v2p_n9_bfd5284e9de40536 +-- realization_mode: agent +-- source_kind: agent +SELECT "feature_13", + AVG(CASE WHEN "class" = '2' THEN 1 ELSE 0 END) AS condition_rate +FROM "n9" +GROUP BY "feature_13" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..98ffc744d69940e97d2f2bafaea32bdd2c94a20f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/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_group_condition_rate\nSELECT \"feature_13\",\n AVG(CASE WHEN \"class\" = '2' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n9\"\nGROUP BY \"feature_13\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_13\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_13\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"feature_13\", \"condition_rate\"], \"rows\": [{\"feature_13\": \"50\", \"condition_rate\": 0.4040632054176072}, {\"feature_13\": \"66\", \"condition_rate\": 0.2857142857142857}, {\"feature_13\": \"51\", \"condition_rate\": 0.23961661341853036}, {\"feature_13\": \"65\", \"condition_rate\": 0.2318840579710145}, {\"feature_13\": \"49\", \"condition_rate\": 0.23154362416107382}, {\"feature_13\": \"58\", \"condition_rate\": 0.21951219512195122}, {\"feature_13\": \"63\", \"condition_rate\": 0.2014388489208633}, {\"feature_13\": \"59\", \"condition_rate\": 0.2}, {\"feature_13\": \"52\", \"condition_rate\": 0.19215686274509805}, {\"feature_13\": \"62\", \"condition_rate\": 0.175}, {\"feature_13\": \"54\", \"condition_rate\": 0.1722488038277512}, {\"feature_13\": \"57\", \"condition_rate\": 0.1708542713567839}, {\"feature_13\": \"61\", \"condition_rate\": 0.1695906432748538}, {\"feature_13\": \"64\", \"condition_rate\": 0.16312056737588654}, {\"feature_13\": \"56\", \"condition_rate\": 0.16129032258064516}, {\"feature_13\": \"67\", \"condition_rate\": 0.1532258064516129}, {\"feature_13\": \"69\", \"condition_rate\": 0.1523809523809524}, {\"feature_13\": \"53\", \"condition_rate\": 0.15234375}, {\"feature_13\": \"60\", \"condition_rate\": 0.14903846153846154}, {\"feature_13\": \"5\", \"condition_rate\": 0.14285714285714285}, {\"feature_13\": \"47\", \"condition_rate\": 0.140625}, {\"feature_13\": \"55\", \"condition_rate\": 0.12444444444444444}, {\"feature_13\": \"68\", \"condition_rate\": 0.12030075187969924}, {\"feature_13\": \"48\", \"condition_rate\": 0.12}, {\"feature_13\": \"1\", \"condition_rate\": 0.1111111111111111}, {\"feature_13\": \"14\", \"condition_rate\": 0.0967741935483871}, {\"feature_13\": \"29\", \"condition_rate\": 0.09195402298850575}, {\"feature_13\": \"72\", \"condition_rate\": 0.08641975308641975}, {\"feature_13\": \"9\", \"condition_rate\": 0.08}, {\"feature_13\": \"28\", \"condition_rate\": 0.07692307692307693}, {\"feature_13\": \"43\", \"condition_rate\": 0.07608695652173914}, {\"feature_13\": \"71\", \"condition_rate\": 0.07317073170731707}, {\"feature_13\": \"23\", \"condition_rate\": 0.06976744186046512}, {\"feature_13\": \"12\", \"condition_rate\": 0.06666666666666667}, {\"feature_13\": \"11\", \"condition_rate\": 0.06451612903225806}, {\"feature_13\": \"45\", \"condition_rate\": 0.06341463414634146}, {\"feature_13\": \"18\", \"condition_rate\": 0.061224489795918366}, {\"feature_13\": \"70\", \"condition_rate\": 0.06086956521739131}, {\"feature_13\": \"15\", \"condition_rate\": 0.05714285714285714}, {\"feature_13\": \"46\", \"condition_rate\": 0.05504587155963303}, {\"feature_13\": \"26\", \"condition_rate\": 0.05357142857142857}, {\"feature_13\": \"37\", \"condition_rate\": 0.05333333333333334}, {\"feature_13\": \"39\", \"condition_rate\": 0.051470588235294115}, {\"feature_13\": \"30\", \"condition_rate\": 0.04938271604938271}, {\"feature_13\": \"25\", \"condition_rate\": 0.04411764705882353}, {\"feature_13\": \"42\", \"condition_rate\": 0.04395604395604396}, {\"feature_13\": \"0\", \"condition_rate\": 0.043010752688172046}, {\"feature_13\": \"7\", \"condition_rate\": 0.041666666666666664}, {\"feature_13\": \"33\", \"condition_rate\": 0.041666666666666664}, {\"feature_13\": \"17\", \"condition_rate\": 0.041666666666666664}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0f043a2cccd161732a303c2c0aa6a07aea8ba4e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:01:19.193801+00:00", + "ended_at": "2026-05-19T16:01:28.207025+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_fe31b5886cd52dc2", + "problem_id": "v2p_n9_bfd5284e9de40536", + "dataset_id": "n9", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=feature_13, condition_col=class.", + "bindings": { + "group_col": "feature_13", + "condition_col": "class", + "condition_value": "2", + "positive_value": "2", + "negative_value": "4", + "top_k": 12, + "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": 100.0, + "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", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_fe31b5886cd52dc2.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_fe31b5886cd52dc2", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 336, + "total_tokens": 15333, + "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": 9004.33, + "sql_execution_elapsed_ms_total": 5.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..37274aed51e6e634cb3197332bd46e48ca837a44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:28.200086+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9004.33, "started_at": "2026-05-19T16:01:19.195037+00:00", "ended_at": "2026-05-19T16:01:28.199384+00:00", "prompt_metrics": {"chars": 9620, "bytes_utf8": 9620, "lines": 303, "estimated_tokens": null}, "response_metrics": {"chars": 427, "bytes_utf8": 427, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14997, "cached_input_tokens": 12032, "output_tokens": 336, "reasoning_output_tokens": 220}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"feature_13\\\",\\n AVG(CASE WHEN \\\"class\\\" = '2' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_13\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"feature_13\\\" and condition_col=\\\"class\\\", using condition_value '2' because \\\"class\\\" is stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0be79af17e69a97be145f92e0aded0cdacaabcd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_fe31b5886cd52dc2", + "api_calls": 0, + "input_tokens": 14997, + "cached_input_tokens": 12032, + "output_tokens": 336, + "total_tokens": 15333, + "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": 9004.33, + "sql_execution_elapsed_ms_total": 5.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe31b5886cd52dc2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c370dab62865dd222bfbdfe329d60205e2f451ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:58:29.542082+00:00", + "ended_at": "2026-05-19T15:58:36.738618+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_fe47df9acfdc2668", + "problem_id": "v2p_n9_7ec637432639db2d", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=feature_8, measure_col=feature_13.", + "bindings": { + "group_col": "feature_8", + "measure_col": "feature_13", + "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": 68.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1727b68f204f4488ea2a6ff25ff524080a197e50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_fe47df9acfdc2668/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:32.496608+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2952.45, "started_at": "2026-05-19T15:58:29.543337+00:00", "ended_at": "2026-05-19T15:58:32.495808+00:00", "prompt_metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-c7b3-7e73-b2df-9c4e48651488\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:36.738507+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3240.21, "started_at": "2026-05-19T15:58:33.497394+00:00", "ended_at": "2026-05-19T15:58:36.737636+00:00", "prompt_metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-d726-7fa0-bd6d-01cf9c3f1583\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..78ba83ebca4ad901a7cdfcae1ef7937934e28ba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"feature_1": "0", "support": 2364, "avg_response": 75.13282571912013}, {"feature_1": "100", "support": 1143, "avg_response": 94.18635170603675}, {"feature_1": "32", "support": 137, "avg_response": 85.35036496350365}, {"feature_1": "26", "support": 129, "avg_response": 85.95348837209302}, {"feature_1": "38", "support": 123, "avg_response": 87.63414634146342}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b05b6008086884650a06d282a9136c4e7fc560d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n9_ff314eb7d17a9865 +-- problem_id: v2p_n9_d4aa41902519318a +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "feature_1", + COUNT(*) AS support, + AVG("feature_2") AS avg_response +FROM "n9" +GROUP BY "feature_1" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..787bb57a9917f6a12ff3bfe31b23bd0f7ffa6471 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_a\n-- sql_source_dataset_id: n9\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n9_ff314eb7d17a9865\n-- problem_id: v2p_n9_d4aa41902519318a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"feature_1\",\n COUNT(*) AS support,\n AVG(\"feature_2\") AS avg_response\nFROM \"n9\"\nGROUP BY \"feature_1\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: n9\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n9_ff314eb7d17a9865\\n-- problem_id: v2p_n9_d4aa41902519318a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"feature_1\\\",\\n COUNT(*) AS support,\\n AVG(\\\"feature_2\\\") AS avg_response\\nFROM \\\"n9\\\"\\nGROUP BY \\\"feature_1\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"feature_1\", \"support\", \"avg_response\"], \"rows\": [{\"feature_1\": \"0\", \"support\": 2364, \"avg_response\": 75.13282571912013}, {\"feature_1\": \"100\", \"support\": 1143, \"avg_response\": 94.18635170603675}, {\"feature_1\": \"32\", \"support\": 137, \"avg_response\": 85.35036496350365}, {\"feature_1\": \"26\", \"support\": 129, \"avg_response\": 85.95348837209302}, {\"feature_1\": \"38\", \"support\": 123, \"avg_response\": 87.63414634146342}, {\"feature_1\": \"19\", \"support\": 120, \"avg_response\": 85.10833333333333}, {\"feature_1\": \"16\", \"support\": 120, \"avg_response\": 84.76666666666667}, {\"feature_1\": \"25\", \"support\": 117, \"avg_response\": 85.62393162393163}, {\"feature_1\": \"15\", \"support\": 117, \"avg_response\": 83.67521367521367}, {\"feature_1\": \"23\", \"support\": 117, \"avg_response\": 83.00854700854701}, {\"feature_1\": \"30\", \"support\": 115, \"avg_response\": 86.03478260869565}, {\"feature_1\": \"20\", \"support\": 115, \"avg_response\": 85.11304347826086}, {\"feature_1\": \"31\", \"support\": 114, \"avg_response\": 87.64035087719299}, {\"feature_1\": \"13\", \"support\": 113, \"avg_response\": 82.92035398230088}, {\"feature_1\": \"29\", \"support\": 112, \"avg_response\": 87.10714285714286}, {\"feature_1\": \"27\", \"support\": 112, \"avg_response\": 86.60714285714286}, {\"feature_1\": \"42\", \"support\": 111, \"avg_response\": 89.41441441441441}, {\"feature_1\": \"24\", \"support\": 110, \"avg_response\": 85.31818181818181}, {\"feature_1\": \"35\", \"support\": 109, \"avg_response\": 87.60550458715596}, {\"feature_1\": \"14\", \"support\": 109, \"avg_response\": 81.1651376146789}, {\"feature_1\": \"21\", \"support\": 108, \"avg_response\": 85.18518518518519}, {\"feature_1\": \"33\", \"support\": 108, \"avg_response\": 83.78703703703704}, {\"feature_1\": \"12\", \"support\": 105, \"avg_response\": 80.97142857142858}, {\"feature_1\": \"36\", \"support\": 103, \"avg_response\": 86.37864077669903}, {\"feature_1\": \"40\", \"support\": 102, \"avg_response\": 89.93137254901961}, {\"feature_1\": \"22\", \"support\": 102, \"avg_response\": 86.65686274509804}, {\"feature_1\": \"34\", \"support\": 101, \"avg_response\": 86.56435643564356}, {\"feature_1\": \"17\", \"support\": 101, \"avg_response\": 85.33663366336634}, {\"feature_1\": \"11\", \"support\": 99, \"avg_response\": 80.52525252525253}, {\"feature_1\": \"44\", \"support\": 95, \"avg_response\": 87.17894736842105}, {\"feature_1\": \"46\", \"support\": 94, \"avg_response\": 89.92553191489361}, {\"feature_1\": \"39\", \"support\": 93, \"avg_response\": 87.49462365591398}, {\"feature_1\": \"7\", \"support\": 91, \"avg_response\": 79.31868131868131}, {\"feature_1\": \"41\", \"support\": 89, \"avg_response\": 88.88764044943821}, {\"feature_1\": \"45\", \"support\": 88, \"avg_response\": 88.23863636363636}, {\"feature_1\": \"28\", \"support\": 88, \"avg_response\": 84.8409090909091}, {\"feature_1\": \"9\", \"support\": 87, \"avg_response\": 84.32183908045977}, {\"feature_1\": \"55\", \"support\": 86, \"avg_response\": 89.38372093023256}, {\"feature_1\": \"49\", \"support\": 86, \"avg_response\": 89.09302325581395}, {\"feature_1\": \"8\", \"support\": 86, \"avg_response\": 81.72093023255815}, {\"feature_1\": \"37\", \"support\": 85, \"avg_response\": 89.4235294117647}, {\"feature_1\": \"2\", \"support\": 85, \"avg_response\": 80.44705882352942}, {\"feature_1\": \"43\", \"support\": 84, \"avg_response\": 89.26190476190476}, {\"feature_1\": \"18\", \"support\": 84, \"avg_response\": 82.86904761904762}, {\"feature_1\": \"48\", \"support\": 82, \"avg_response\": 89.91463414634147}, {\"feature_1\": \"56\", \"support\": 81, \"avg_response\": 91.76543209876543}, {\"feature_1\": \"53\", \"support\": 81, \"avg_response\": 89.07407407407408}, {\"feature_1\": \"4\", \"support\": 79, \"avg_response\": 78.60759493670886}, {\"feature_1\": \"47\", \"support\": 78, \"avg_response\": 89.05128205128206}, {\"feature_1\": \"6\", \"support\": 78, \"avg_response\": 84.58974358974359}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3794e7c28c549f2d3b9e93d44baaf1af35b68f60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:10:15.851967+00:00", + "ended_at": "2026-05-19T16:10:15.857915+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_ff314eb7d17a9865", + "problem_id": "v2p_n9_d4aa41902519318a", + "dataset_id": "n9", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=feature_2, key_col=feature_1.", + "bindings": { + "key_col": "feature_1", + "measure_col": "feature_2", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_ff314eb7d17a9865.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff314eb7d17a9865/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c242110271c57936c20d29bedb33db6753e63af3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_6, measure_col=feature_11. +Result preview: [{"feature_6": "0", "percentile_measure": 100.0}, {"feature_6": "1", "percentile_measure": 100.0}, {"feature_6": "2", "percentile_measure": 100.0}, {"feature_6": "4", "percentile_measure": 100.0}, {"feature_6": "5", "percentile_measure": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..afc14f2aa37d7d2c5035cef258417d8c532626b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/generated_sql.sql @@ -0,0 +1,57 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_n9_ff45febb889fd477 +-- problem_id: v2p_n9_7dd9efbb3bea95a1 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "feature_6" AS "group_col", + CAST("feature_11" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "feature_6" + ORDER BY CAST("feature_11" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "feature_6") AS "cnt" + FROM "n9" + WHERE "feature_6" IS NOT NULL + AND "feature_11" IS NOT NULL +), +"params" AS ( + SELECT + "group_col", + "cnt", + 1 + CAST((9 * ("cnt" - 1)) / 10 AS INTEGER) AS "lower_rn", + 1 + CAST((9 * ("cnt" - 1)) / 10 AS INTEGER) + + CASE WHEN ((9 * ("cnt" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS "upper_rn", + ((9 * ("cnt" - 1)) % 10) / 10.0 AS "frac" + FROM ( + SELECT DISTINCT "group_col", "cnt" + FROM "ordered" + ) + WHERE "cnt" >= 5 +) +SELECT + p."group_col" AS "feature_6", + CASE + WHEN p."upper_rn" = p."lower_rn" THEN + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure" END) + ELSE + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure" END) + + p."frac" * ( + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure" END) - + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure" END) + ) + END AS "percentile_measure" +FROM "params" AS p +JOIN "ordered" AS o + ON o."group_col" = p."group_col" +GROUP BY p."group_col", p."cnt", p."lower_rn", p."upper_rn", p."frac" +ORDER BY "percentile_measure" DESC, CAST(p."group_col" AS INTEGER) ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c22b8f8bb0370c8563fa46b17b9539476410cdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/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_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"feature_6\" AS \"group_col\",\n CAST(\"feature_11\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"feature_6\"\n ORDER BY CAST(\"feature_11\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"feature_6\") AS \"cnt\"\n FROM \"n9\"\n WHERE \"feature_6\" IS NOT NULL\n AND \"feature_11\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"group_col\",\n \"cnt\",\n 1 + CAST((9 * (\"cnt\" - 1)) / 10 AS INTEGER) AS \"lower_rn\",\n 1 + CAST((9 * (\"cnt\" - 1)) / 10 AS INTEGER)\n + CASE WHEN ((9 * (\"cnt\" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS \"upper_rn\",\n ((9 * (\"cnt\" - 1)) % 10) / 10.0 AS \"frac\"\n FROM (\n SELECT DISTINCT \"group_col\", \"cnt\"\n FROM \"ordered\"\n )\n WHERE \"cnt\" >= 5\n)\nSELECT\n p.\"group_col\" AS \"feature_6\",\n CASE\n WHEN p.\"upper_rn\" = p.\"lower_rn\" THEN\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END) +\n p.\"frac\" * (\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure\" END) -\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END)\n )\n END AS \"percentile_measure\"\nFROM \"params\" AS p\nJOIN \"ordered\" AS o\n ON o.\"group_col\" = p.\"group_col\"\nGROUP BY p.\"group_col\", p.\"cnt\", p.\"lower_rn\", p.\"upper_rn\", p.\"frac\"\nORDER BY \"percentile_measure\" DESC, CAST(p.\"group_col\" AS INTEGER) ASC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_6\\\" AS \\\"group_col\\\",\\n CAST(\\\"feature_11\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_6\\\"\\n ORDER BY CAST(\\\"feature_11\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"feature_6\\\") AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_6\\\" IS NOT NULL\\n AND \\\"feature_11\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER) AS \\\"lower_rn\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER)\\n + CASE WHEN ((9 * (\\\"cnt\\\" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS \\\"upper_rn\\\",\\n ((9 * (\\\"cnt\\\" - 1)) % 10) / 10.0 AS \\\"frac\\\"\\n FROM (\\n SELECT DISTINCT \\\"group_col\\\", \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n )\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"feature_6\\\",\\n CASE\\n WHEN p.\\\"upper_rn\\\" = p.\\\"lower_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) +\\n p.\\\"frac\\\" * (\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"params\\\" AS p\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"group_col\\\" = p.\\\"group_col\\\"\\nGROUP BY p.\\\"group_col\\\", p.\\\"cnt\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\", p.\\\"frac\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, CAST(p.\\\"group_col\\\" AS INTEGER) ASC;\", \"columns\": [\"feature_6\", \"percentile_measure\"], \"rows\": [{\"feature_6\": \"0\", \"percentile_measure\": 100.0}, {\"feature_6\": \"1\", \"percentile_measure\": 100.0}, {\"feature_6\": \"2\", \"percentile_measure\": 100.0}, {\"feature_6\": \"4\", \"percentile_measure\": 100.0}, {\"feature_6\": \"5\", \"percentile_measure\": 100.0}, {\"feature_6\": \"6\", \"percentile_measure\": 100.0}, {\"feature_6\": \"7\", \"percentile_measure\": 100.0}, {\"feature_6\": \"9\", \"percentile_measure\": 100.0}, {\"feature_6\": \"10\", \"percentile_measure\": 100.0}, {\"feature_6\": \"11\", \"percentile_measure\": 100.0}, {\"feature_6\": \"12\", \"percentile_measure\": 100.0}, {\"feature_6\": \"13\", \"percentile_measure\": 100.0}, {\"feature_6\": \"14\", \"percentile_measure\": 100.0}, {\"feature_6\": \"15\", \"percentile_measure\": 100.0}, {\"feature_6\": \"16\", \"percentile_measure\": 100.0}, {\"feature_6\": \"17\", \"percentile_measure\": 100.0}, {\"feature_6\": \"18\", \"percentile_measure\": 100.0}, {\"feature_6\": \"19\", \"percentile_measure\": 100.0}, {\"feature_6\": \"20\", \"percentile_measure\": 100.0}, {\"feature_6\": \"21\", \"percentile_measure\": 100.0}, {\"feature_6\": \"22\", \"percentile_measure\": 100.0}, {\"feature_6\": \"23\", \"percentile_measure\": 100.0}, {\"feature_6\": \"24\", \"percentile_measure\": 100.0}, {\"feature_6\": \"25\", \"percentile_measure\": 100.0}, {\"feature_6\": \"26\", \"percentile_measure\": 100.0}, {\"feature_6\": \"27\", \"percentile_measure\": 100.0}, {\"feature_6\": \"28\", \"percentile_measure\": 100.0}, {\"feature_6\": \"29\", \"percentile_measure\": 100.0}, {\"feature_6\": \"30\", \"percentile_measure\": 100.0}, {\"feature_6\": \"31\", \"percentile_measure\": 100.0}, {\"feature_6\": \"32\", \"percentile_measure\": 100.0}, {\"feature_6\": \"33\", \"percentile_measure\": 100.0}, {\"feature_6\": \"34\", \"percentile_measure\": 100.0}, {\"feature_6\": \"35\", \"percentile_measure\": 100.0}, {\"feature_6\": \"36\", \"percentile_measure\": 100.0}, {\"feature_6\": \"37\", \"percentile_measure\": 100.0}, {\"feature_6\": \"38\", \"percentile_measure\": 100.0}, {\"feature_6\": \"39\", \"percentile_measure\": 100.0}, {\"feature_6\": \"40\", \"percentile_measure\": 100.0}, {\"feature_6\": \"41\", \"percentile_measure\": 100.0}, {\"feature_6\": \"42\", \"percentile_measure\": 100.0}, {\"feature_6\": \"43\", \"percentile_measure\": 100.0}, {\"feature_6\": \"44\", \"percentile_measure\": 100.0}, {\"feature_6\": \"45\", \"percentile_measure\": 100.0}, {\"feature_6\": \"46\", \"percentile_measure\": 100.0}, {\"feature_6\": \"47\", \"percentile_measure\": 100.0}, {\"feature_6\": \"48\", \"percentile_measure\": 100.0}, {\"feature_6\": \"49\", \"percentile_measure\": 100.0}, {\"feature_6\": \"50\", \"percentile_measure\": 100.0}, {\"feature_6\": \"51\", \"percentile_measure\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 53.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7d922d3f9b95727e614d42f7ad0a203dd4a0baf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T15:56:13.059954+00:00", + "ended_at": "2026-05-19T15:57:09.736108+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_ff45febb889fd477", + "problem_id": "v2p_n9_7dd9efbb3bea95a1", + "dataset_id": "n9", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "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 Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=feature_6, measure_col=feature_11.", + "bindings": { + "group_col": "feature_6", + "measure_col": "feature_11", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 89.0, + "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 {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;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_ff45febb889fd477.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ff45febb889fd477", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 3709, + "total_tokens": 18687, + "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": 56618.85, + "sql_execution_elapsed_ms_total": 53.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0914632ff42fab8683a19d7d5ce800f27009ee54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:57:09.681021+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 56618.85, "started_at": "2026-05-19T15:56:13.061042+00:00", "ended_at": "2026-05-19T15:57:09.679925+00:00", "prompt_metrics": {"chars": 9570, "bytes_utf8": 9570, "lines": 300, "estimated_tokens": null}, "response_metrics": {"chars": 1908, "bytes_utf8": 1908, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14978, "cached_input_tokens": 13696, "output_tokens": 3709, "reasoning_output_tokens": 3089}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"feature_6\\\" AS \\\"group_col\\\",\\n CAST(\\\"feature_11\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"feature_6\\\"\\n ORDER BY CAST(\\\"feature_11\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"feature_6\\\") AS \\\"cnt\\\"\\n FROM \\\"n9\\\"\\n WHERE \\\"feature_6\\\" IS NOT NULL\\n AND \\\"feature_11\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER) AS \\\"lower_rn\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER)\\n + CASE WHEN ((9 * (\\\"cnt\\\" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS \\\"upper_rn\\\",\\n ((9 * (\\\"cnt\\\" - 1)) % 10) / 10.0 AS \\\"frac\\\"\\n FROM (\\n SELECT DISTINCT \\\"group_col\\\", \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n )\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"feature_6\\\",\\n CASE\\n WHEN p.\\\"upper_rn\\\" = p.\\\"lower_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = p."} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0f71f98c816d07c4267d816da7335a3d36f66629 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ff45febb889fd477", + "api_calls": 0, + "input_tokens": 14978, + "cached_input_tokens": 13696, + "output_tokens": 3709, + "total_tokens": 18687, + "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": 56618.85, + "sql_execution_elapsed_ms_total": 53.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff45febb889fd477/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b1970b01ba170dadb4f2a5dc19a574cdaf14417 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_5. +Result preview: [{"empirical_cdf_at_threshold": 0.7504548762736536}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3977c6e4a4e97b2b0bc2ed85c4b6f6f0f8063302 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: n9 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_n9_ff6d4453fa647527 +-- problem_id: v2p_n9_38262ecb27032771 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("feature_5" AS REAL) <= 78.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "n9"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fcaa89926b9d1c1073fa3b8f1622ffaf3e154d70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/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_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"feature_5\" AS REAL) <= 78.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n9\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_5\\\" AS REAL) <= 78.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7504548762736536}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..417c897babb7b062e92759dd5736144d6c5933ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "n9", + "started_at": "2026-05-19T16:04:55.434774+00:00", + "ended_at": "2026-05-19T16:05:04.282737+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n9_ff6d4453fa647527", + "problem_id": "v2p_n9_38262ecb27032771", + "dataset_id": "n9", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=feature_5.", + "bindings": { + "measure_col": "feature_5", + "top_k": 11, + "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": 78.0, + "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": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=116" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/sql/v2q_n9_ff6d4453fa647527.sql", + "usage_summary": { + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ff6d4453fa647527", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 247, + "total_tokens": 15174, + "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": 8842.58, + "sql_execution_elapsed_ms_total": 1.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..953132979582e5b635514f2c0021b51a694f2b73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:04.279746+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 \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8842.58, "started_at": "2026-05-19T16:04:55.436388+00:00", "ended_at": "2026-05-19T16:05:04.279018+00:00", "prompt_metrics": {"chars": 9324, "bytes_utf8": 9324, "lines": 298, "estimated_tokens": null}, "response_metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14927, "cached_input_tokens": 12032, "output_tokens": 247, "reasoning_output_tokens": 137}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"feature_5\\\" AS REAL) <= 78.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n9\\\";\",\"notes\":\"Used the provided Threshold Rarity CDF template with measure_col bound to \\\"feature_5\\\" and measure_threshold fixed at 78.0. CAST to REAL is included because the schema stores feature columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..83851f24e573d34d186e578ba906ba23e864f7cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n9", + "model": "v2-cli:codex", + "run_id": "v2q_n9_ff6d4453fa647527", + "api_calls": 0, + "input_tokens": 14927, + "cached_input_tokens": 12032, + "output_tokens": 247, + "total_tokens": 15174, + "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": 8842.58, + "sql_execution_elapsed_ms_total": 1.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/n9/artifacts/v2q_n9_ff6d4453fa647527/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file