File size: 2,703 Bytes
8c10cf2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 | # RecruitmentAssistant-MCP Evaluation Scripts
This directory contains evaluation scripts for analyzing the RecruitmentAssistant-MCP project results.
## Scripts
### 1. analyze_retry_patterns.py
Analyzes RETRY patterns in execution paths.
**Features:**
- Counts error occurrences by location and type
- Calculates RETRY rates per model
- Identifies maximum RETRY attempts
- Tracks errors by agent and node type
**Output:**
- `retry_analysis.json` - Detailed JSON results
- `retry_summary.csv` - Summary statistics
- `error_by_agent.csv` - Error breakdown by agent
**Usage:**
```bash
python3 analyze_retry_patterns.py
```
### 2. evaluate_success.py
Calculates success rates for each model.
**Success Criteria:**
- Reports folder exists
- Contains at least 2 markdown files
**Output:**
- `success_detailed_results.json` - Detailed results per session
- `success_rate.csv` - Success rate summary
**Usage:**
```bash
python3 evaluate_success.py
```
### 3. evaluate_trajectory.py
Evaluates trajectory metrics against reference trajectories.
**Metrics:**
- Exact match
- In-order match
- Any-order match
- Precision
- Recall
- Single-tool use
- Path diversity (unique path ratio, path entropy)
**Output:**
- `evaluation_results.csv` - Trajectory evaluation results
**Usage:**
```bash
python3 evaluate_trajectory.py --config reference_trajectory.yaml
```
### 4. reference_trajectory.yaml
Configuration file defining reference trajectories and evaluation parameters.
**Key Sections:**
- `reference_trajectory_3x` - Reference for 3 web searches
- `reference_trajectory_4x` - Reference for 4 web searches
- `target_tools` - Required tools for evaluation
- `models` - List of models to evaluate
- `permutable_tool_groups` - Tool groups that can appear in any order
## Configuration
Edit `reference_trajectory.yaml` to:
- Modify reference trajectories
- Add/remove models
- Adjust tool evaluation criteria
- Configure dynamic matching patterns
## Requirements
- Python 3.7+
- pandas
- pyyaml
Install dependencies:
```bash
pip install pandas pyyaml
```
## Data Structure
Expected directory structure:
```
/Users/wzr/TOSEM-2025/RESULTS/
├── ModelName/
│ └── RecruitmentAssistant-MCP/
│ └── test_results/
│ ├── session_1/
│ │ ├── execution_path.md
│ │ └── reports/
│ │ ├── file1.md
│ │ └── file2.md
│ └── session_2/
│ └── ...
```
## Notes
- All scripts output CSV files for easy analysis
- JSON files contain detailed per-session information
- Modify `BASE_DIR` in scripts if using a different results directory
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