Add FastAPI backend to Docker Compose - Complete container solution!
You're absolutely right! Backend should also be in Docker if frontend is.
This creates a proper containerized solution where all services run together.
Changes:
• Created api/Dockerfile with Python 3.11 slim base
- Installs requirements.txt
- Copies api/main.py and models/
- Runs uvicorn on 0.0.0.0:8000
- Includes Python health check
• Created api/.dockerignore for build optimization
• Updated docker-compose.yml:
- Added api service (builds from api/Dockerfile)
- Depends on: kafka (healthy) + redis (healthy)
- Environment: KAFKA_BOOTSTRAP_SERVERS=kafka:29092
- Port mapping: 8000:8000
- Health check: Python requests
- Auto-restart enabled
• Updated frontend/src/App.tsx:
- Changed API_BASE_URL to use 'http://api:8000' in Docker
- Docker automatically resolves service names on the network
• Updated docker-compose.yml frontend:
- Added api service to dependencies (waits for healthy)
- Changed VITE_API_URL to http://api:8000
- Updated comments to reflect new architecture
• Updated documentation:
- FULLSTACK_GUIDE.md - Now 2-terminal setup!
- DOCKER_QUICK_START.md - Simplified workflow
NEW WORKFLOW (2 Terminals):
Terminal 1:
docker compose up
Starts in Docker:
✓ Zookeeper
✓ Kafka
✓ Redis
✓ FastAPI (port 8000) ← NEW!
✓ React Frontend (port 3000)
Terminal 2:
cd consumer && python pipeline.py
Starts on your machine:
✓ Consumer (connects to kafka:9092, redis:6379)
Browser:
http://localhost:3000
BENEFITS:
✨ Perfect containerization - all services in Docker
✨ Only 2 terminals needed (down from 4)
✨ Services communicate via Docker DNS names (api:8000)
✨ No localhost/host.docker.internal networking complexity
✨ Frontend waits for API to be healthy before starting
✨ Consumer still runs on host for development flexibility
✨ Production-ready setup
Co-authored-by: Copilot <[email protected]>
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__pycache__
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*.pyc
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*.pyo
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*.egg-info
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.pytest_cache
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.coverage
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.env
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.venv
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venv
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.DS_Store
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.git
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.gitignore
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README.md
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FROM python:3.11-slim
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WORKDIR /app
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# Install dependencies
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy API code
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COPY api/main.py .
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# Copy models
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COPY models/ ./models/
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# Expose port
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EXPOSE 8000
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# Health check
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HEALTHCHECK --interval=10s --timeout=5s --retries=5 \
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CMD python -c "import requests; requests.get('http://localhost:8000/health')"
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# Run the application
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
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