| # SQLAssistant-A2A Evaluation Scripts |
|
|
| This directory contains evaluation scripts for analyzing the SQLAssistant-A2A project results across different language models. |
|
|
| ## Scripts |
|
|
| ### 1. analyze_retry_patterns.py |
| Analyzes RETRY patterns in execution paths, including: |
| - **Orchestrator RETRY**: Framework-level retries (e.g., `crew_execution (retry N)`) |
| - **Business RETRY**: Application-level retries (e.g., `generate_sql (business_retry N)`) |
|
|
| **Output Files:** |
| - `retry_analysis.json` - Detailed retry statistics |
| - `retry_summary.csv` - Summary statistics by model |
| - `error_by_agent.csv` - Error location statistics by agent |
| - `business_retry_chapters.csv` - Business retry location statistics |
|
|
| **Usage:** |
| ```bash |
| python3 analyze_retry_patterns.py |
| ``` |
|
|
| ### 2. evaluate_scores.py |
| Collects and analyzes score statistics from execution logs. |
| |
| **Output Files:** |
| - `score_analysis.json` - Detailed score data |
| - `score_summary.csv` - Summary statistics by model |
|
|
| **Usage:** |
| ```bash |
| python3 evaluate_scores.py |
| ``` |
|
|
| ### 3. evaluate_success.py |
| Calculates success rates based on whether required tools were executed. |
| |
| **Success Criteria:** Execution of `get_database_schema` tool (required to understand database structure) |
| |
| **Output Files:** |
| - `success_detailed_results.json` - Detailed results by session |
| - `success_rate.csv` - Success rate summary by model |
|
|
| **Usage:** |
| ```bash |
| python3 evaluate_success.py |
| ``` |
|
|
| ### 4. evaluate_trajectory-Filter_Tools.py |
| Evaluates execution trajectories using 6 metrics: |
| 1. **Exact match** - Complete trajectory match |
| 2. **In-order match** - Required steps appear in order |
| 3. **Any-order match** - All required steps present |
| 4. **Precision** - Correctness of predicted steps |
| 5. **Recall** - Coverage of required steps |
| 6. **Single-tool use** - Individual tool usage rates |
|
|
| **Configuration:** |
| - Uses `reference_trajectory.yaml` for ground truth trajectory definition |
|
|
| **Output Files:** |
| - `evaluation_results.csv` - Evaluation metrics by model |
| - `evaluation_results.md` - Formatted results report |
| - `any_order_match_failures.csv` - Failure analysis (with `--diagnose-failures`) |
|
|
| **Usage:** |
| ```bash |
| python3 evaluate_trajectory-Filter_Tools.py --config reference_trajectory.yaml |
| python3 evaluate_trajectory-Filter_Tools.py --diagnose-failures # With failure analysis |
| ``` |
|
|
| ## Configuration |
|
|
| ### reference_trajectory.yaml |
| Defines the ground truth execution trajectory for the SQLAssistant-A2A project, including: |
| - Reference trajectory steps |
| - Target tools for evaluation |
| - Model list |
| - Extract types (SPAN, Chain, Agent, LLM, Tool) |
| |
| ## Models Evaluated |
| |
| - DeepSeek-R1 |
| - DeepSeek-V3-1 |
| - GPT-4o-mini |
| - GPT-5 |
| - Gemini-2.5-flash |
| - Gemini-2.5-flash-nothinking |
| - Qwen3-235b |
| |
| ## Data Structure |
| |
| Scripts expect the following directory structure: |
| ``` |
| /Users/wzr/TOSEM-2025/RESULTS/ |
| ├── <model_name>/ |
| │ └── SQLAssistant-A2A/ |
| │ └── test_results/ |
| │ ├── session_1/ |
| │ │ ├── execution_path.md |
| │ │ └── execution_log.json |
| │ ├── session_2/ |
| │ └── ... |
| ``` |
| |
| ## Requirements |
| |
| - Python 3.x |
| - pandas |
| - PyYAML |
| |
| ## Notes |
| |
| - All scripts automatically process all configured models |
| - Results are saved in the same directory as the scripts |
| - Scripts handle missing data gracefully and report warnings |
| |
