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Complete setup instructions for local development and HF Spaces deployment.
## Local Development Setup
### Prerequisites
- Python 3.8 or higher
- pip (Python package manager)
- Git
- 2GB RAM minimum
### Step 1: Clone Repository
```bash
git clone https://github.com/YOUR_USERNAME/ui-regression-testing.git
cd ui-regression-testing
```
### Step 2: Create Virtual Environment
```bash
# Create virtual environment
python -m venv venv
# Activate it
# On macOS/Linux:
source venv/bin/activate
# On Windows:
venv\Scripts\activate
```
### Step 3: Install Dependencies
```bash
pip install -r requirements.txt
```
### Step 4: Install Playwright Browsers
```bash
playwright install
```
### Step 5: Create .env File
Create a `.env` file in the project root:
```bash
cat > .env << 'EOF'
FIGMA_ACCESS_TOKEN=your_figma_token_here
FIGMA_FILE_KEY=your_figma_file_id_here
WEBSITE_URL=https://your-website.com
HUGGINGFACE_TOKEN=your_hf_token_here
EOF
```
### Step 6: Run the Application
**Option A: Run Gradio UI (Recommended)**
```bash
python app.py
```
Then open http://localhost:7860 in your browser.
**Option B: Run CLI Version**
```bash
python main.py --execution-id test_001 --output-dir reports
```
## Configuration
### Environment Variables
| Variable | Required | Description |
|----------|----------|-------------|
| `FIGMA_ACCESS_TOKEN` | Yes | Figma API token |
| `FIGMA_FILE_KEY` | Yes | Figma file ID |
| `WEBSITE_URL` | Yes | Website URL to test |
| `HUGGINGFACE_TOKEN` | No | HF token for vision models |
### Project Structure
```
ui-regression-testing/
βββ app.py # Gradio UI application
βββ main.py # CLI entry point
βββ requirements.txt # Python dependencies
βββ Dockerfile # Docker configuration
βββ README.md # Documentation
βββ SETUP.md # This file
βββ DEPLOYMENT_GUIDE.md # HF Spaces deployment
βββ .env # Environment variables (local only)
βββ .gitignore # Git ignore rules
β
βββ state_schema.py # Workflow state definition
βββ workflow.py # LangGraph workflow
βββ report_generator.py # Report generation
βββ screenshot_annotator.py # Screenshot annotation
βββ image_comparison_enhanced.py # Image comparison
β
βββ agents/ # AI agents
β βββ __init__.py
β βββ agent_0_super_agent.py # Test planning
β βββ agent_1_design_inspector.py # Figma capture
β βββ agent_2_website_inspector.py # Website capture
β βββ agent_3_difference_analyzer.py # Difference detection
β
βββ utils/ # Utility modules
β βββ __init__.py
β βββ figma_client.py # Figma API client
β βββ website_capturer.py # Website screenshot
β
βββ data/ # Data directory
β βββ figma/ # Figma screenshots
β βββ website/ # Website screenshots
β
βββ reports/ # Generated reports
βββ report_summary.md
βββ report_detailed.md
βββ report_json.json
```
## Development Workflow
### 1. Make Changes
Edit files as needed:
```bash
# Edit an agent
nano agents/agent_1_design_inspector.py
# Edit the UI
nano app.py
```
### 2. Test Locally
```bash
# Run the app
python app.py
# Or run tests
python -m pytest tests/
```
### 3. Commit Changes
```bash
git add .
git commit -m "Description of changes"
git push origin main
```
### 4. Deploy to HF Spaces
The space will automatically rebuild when you push to GitHub.
## Troubleshooting
### Issue: "ModuleNotFoundError: No module named 'playwright'"
**Solution:**
```bash
pip install playwright
playwright install
```
### Issue: "Figma API Key is invalid"
**Solution:**
1. Verify token starts with `figd_`
2. Check token hasn't expired
3. Generate a new token from https://www.figma.com/developers/api#access-tokens
### Issue: "Website URL is not accessible"
**Solution:**
1. Verify URL is correct and publicly accessible
2. Check internet connection
3. Try opening URL in browser manually
### Issue: "No frames found in Figma file"
**Solution:**
1. Verify Figma File ID is correct
2. Ensure file contains frames
3. Check file sharing permissions
### Issue: "Screenshots are blank or gray"
**Solution:**
1. Verify website loads correctly
2. Check for JavaScript errors
3. Ensure website doesn't require authentication
4. Try with a different website
### Issue: "Out of memory error"
**Solution:**
1. Reduce image resolution
2. Process smaller batches
3. Close other applications
4. Upgrade system RAM
## Performance Optimization
### 1. Reduce Image Size
Edit `image_comparison_enhanced.py`:
```python
# Resize images for faster processing
img = img.resize((img.width // 2, img.height // 2))
```
### 2. Cache Results
```python
from functools import lru_cache
@lru_cache(maxsize=10)
def expensive_operation(key):
# Your code here
pass
```
### 3. Async Processing
```python
import asyncio
async def process_images():
# Async code here
pass
```
## Debugging
### Enable Debug Logging
```python
import logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)
logger.debug("Debug message")
```
### Check Logs
```bash
# View app logs
tail -f app.log
# View error logs
tail -f error.log
```
### Test Individual Components
```bash
# Test Figma client
python -c "from utils.figma_client import FigmaClient; print('OK')"
# Test website capturer
python -c "from utils.website_capturer import capture_website_sync; print('OK')"
```
## Advanced Configuration
### Custom Figma Frames
Edit `agents/agent_1_design_inspector.py`:
```python
# Specify custom frame names
frame_names = ["CustomFrame1", "CustomFrame2"]
```
### Custom Website Viewports
Edit `agents/agent_2_website_inspector.py`:
```python
# Add custom viewport sizes
viewports = {
"desktop": {"width": 1920, "height": 1080},
"tablet": {"width": 768, "height": 1024},
"mobile": {"width": 375, "height": 667}
}
```
### Custom Comparison Thresholds
Edit `image_comparison_enhanced.py`:
```python
# Adjust sensitivity
threshold = 0.90 # Higher = more sensitive
```
## Testing
### Run Unit Tests
```bash
python -m pytest tests/ -v
```
### Run Integration Tests
```bash
python -m pytest tests/integration/ -v
```
### Test with Sample Data
```bash
python main.py --test-mode --sample-data
```
## Deployment Checklist
Before deploying to HF Spaces:
- [ ] All dependencies listed in requirements.txt
- [ ] .env file not committed to git
- [ ] Dockerfile builds successfully
- [ ] App runs locally without errors
- [ ] README.md is up to date
- [ ] DEPLOYMENT_GUIDE.md is followed
- [ ] All credentials are environment variables
- [ ] Tests pass
- [ ] No hardcoded secrets in code
## Resources
- [Python Documentation](https://docs.python.org/3/)
- [Gradio Documentation](https://www.gradio.app/)
- [Playwright Documentation](https://playwright.dev/)
- [LangGraph Documentation](https://langchain-ai.github.io/langgraph/)
- [Figma API Documentation](https://www.figma.com/developers/api)
- [HF Spaces Documentation](https://huggingface.co/docs/hub/spaces)
## Support
For issues or questions:
1. Check the troubleshooting section above
2. Review the documentation
3. Open an issue on GitHub
4. Contact the maintainers
---
**Happy coding! π**
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