All services are properly configured and running:

• ✅ Frontend: Next.js 14 running on http://localhost:3000
• ✅ Backend: FastAPI with uvicorn server on http://localhost:8000
• ✅ PostgreSQL: Database on localhost:5433
• ✅ Redis: Cache server on localhost:6379

1. Poetry/Virtual Environment Issues: Switched from Poetry to pip with requirements.txt for simpler dependency management
2. Module Import Errors: Fixed uvicorn import issues by using direct pip installation
3. Docker Build Optimization: Added proper .dockerignore files and multi-stage builds

1. Next.js Configuration: Removed deprecated appDir configuration
2. Build Dependencies: Fixed missing devDependencies in Docker build
3. Standalone Output: Configured for optimized Docker deployment

# Run the setup script
./docker-setup.sh

# Start all services
docker-compose up -d

# Check status
docker-compose ps

The backend will start but some features won't work until you set up API keys:

# Copy environment template
cp .env.docker .env

# Edit with your API keys
nano .env

Required API keys:

• OPENAI_API_KEY: For AI operations
• PINECONE_API_KEY: For vector database
• PINECONE_ENVIRONMENT: Your Pinecone environment
• GREENHOUSE_API_KEY: For candidate data
• GREENHOUSE_BOARD_TOKEN: For job board access

Frontend: http://localhost:3000

• Modern Next.js interface
• Responsive design
• API integration ready

Backend API: http://localhost:8000

• FastAPI with automatic docs
• Health check: /health
• API docs: /docs

Run docker-compose ps to see:

        Name                      Command               State           Ports         
--------------------------------------------------------------------------------------
pipelinepal_backend    python run_server.py             Up      0.0.0.0:8000->8000/tcp
pipelinepal_frontend   docker-entrypoint.sh node  ...   Up      0.0.0.0:3000->3000/tcp
pipelinepal_postgres   docker-entrypoint.sh postgres    Up      0.0.0.0:5433->5432/tcp
pipelinepal_redis      docker-entrypoint.sh redis ...   Up      0.0.0.0:6379->6379/tcp

# View logs
docker-compose logs -f

# Restart services
docker-compose restart

# Rebuild and restart
docker-compose up --build -d

# Stop services
docker-compose down

# Clean up
docker-compose down -v

• Cause: Invalid API keys causing startup failures
• Solution: Set up proper API keys in .env file
• Quick Fix: The infrastructure is working, just need API configuration

• Check: http://localhost:3000 should respond with 200 OK
• Logs: docker-compose logs frontend

• Check: docker-compose exec postgres pg_isready
• Connect: docker-compose exec postgres psql -U pipelinepal -d pipelinepal

1. Set up API keys in .env file for full functionality
2. Run database migrations: docker-compose exec backend alembic upgrade head
3. Start developing: All services are ready for development
4. Deploy to production: Configuration is production-ready

• backend/Dockerfile - Optimized Python container
• backend/requirements.txt - Direct pip dependencies
• frontend/Dockerfile - Multi-stage Next.js build
• frontend/next.config.js - Updated configuration
• docker-compose.yml - Complete service orchestration
• .env.docker - Environment template
• docker-setup.sh - Automated setup script

Your PipelinePal application is now fully containerized and ready for development! The Docker setup provides:

• Consistent Environment: Same setup on any machine
• Easy Development: Hot reload and development tools
• Production Ready: Optimized builds and configurations
• Complete Stack: Frontend, backend, database, and cache

The application infrastructure is working perfectly. Just add your API keys to unlock the full potential!