# SocialMediaManager-H_A2A (RQ1)

This folder contains scripts for analyzing experiment outputs under:

- `/Users/wzr/TOSEM-2025/RESULTS/<MODEL>/SocialMediaManager-H_A2A/test_results/`

## Files

- `evaluate_success.py`
  - Computes per-model success rates based on `metadata.json`.
  - Success criterion: `metadata.json["status"] == "success"`.
  - Outputs: `success_detailed_results.json`, `success_rate.csv`.

- `evaluate_trajectory-mix.py`
  - Evaluates trajectory-level metrics by parsing each session's `execution_path.md`.
  - Reads configuration from `reference_trajectory.yaml`.
  - Outputs: a CSV file (default: `evaluation_results.csv`).

- `analyze_retry_patterns.py`
  - Analyzes error locations and retry patterns by parsing `execution_path.md`.
  - Outputs: `retry_analysis.json`, `retry_summary.csv`, `error_by_agent.csv`, `business_retry_by_agent.csv`.

- `reference_trajectory.yaml`
  - Reference trajectory definition and evaluation configuration.

## Usage

Run success-rate analysis:

```bash
python3 evaluate_success.py
```

Run trajectory evaluation (CSV output only):

```bash
python3 evaluate_trajectory-mix.py --config reference_trajectory.yaml --output evaluation_results.csv
```

Run retry-pattern analysis:

```bash
python3 analyze_retry_patterns.py
```