A Node.js backend service for analyzing HAR (HTTP Archive) files with AI-powered insights.
'''bash Install dependencies npm install Start server npm start '''
Create a .env file in the root directory:
'''env
PORT=3001
OPENAI_API_KEY=your_key_here
REDIS_URL=redis://localhost:6379
CORS_ORIGINS=http://localhost:3000,https://har-analyzer-frontend.onrender.com
'''
Accepts HAR file uploads and initiates analysis
- Body: multipart/form-data with HAR file
- Returns:
{ jobId: string }
Retrieves analysis results
- Returns: Analysis metrics and AI-generated insights
- Express.js server with BullMQ for job processing
- Redis for job queue and caching
- OpenAI integration for persona-specific insights
- HAR parsing and validation using har-validator
- HAR file validation and parsing
- Performance metrics calculation
- AI-powered insights generation
- Persona-based analysis (Developer, QA, Sales Engineer)
- Asynchronous processing with job queue
Referenced from package.json: ''' json:backend/package.json startLine: 16 endLine: 33 '''
- Node.js 18+
- Redis server
- OpenAI API key
'''
backend/ ├── server.js # Main Express server ├── utils/ │ ├── harAnalyzer.js # HAR processing logic │ ├── insightGenerator.js # AI insight generation │ └── formatInsights.js # Response formatting └── config/ └── personas.js # Persona configurations '''
The backend implements comprehensive error handling:
- HAR file validation
- Processing timeouts
- API rate limiting
- Invalid job IDs
- Uses streaming for large file uploads
- Implements caching for analysis results
- Batches API requests to OpenAI
- Handles concurrent processing via queue
Configured for deployment on platforms supporting Node.js 18+: ''' json:backend/package.json startLine: 6 endLine: 8 '''
- Add WebSocket support for real-time progress
- Implement result persistence
- Add batch processing support
- Enhance error analysis