ttv-pipeline/docker-compose.http3.yml at main · trilogy-group/ttv-pipeline · GitHub

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# Docker Compose configuration for TTV Pipeline API with HTTP/3 support
version: '3.8'

services:
  # Angie edge proxy with HTTP/3 support
  angie:
    image: nginx/angie:latest
    ports:
      - "443:443/tcp"    # HTTPS
      - "443:443/udp"    # QUIC/HTTP3
      - "80:80/tcp"      # HTTP redirect
    volumes:
      - ./config/angie.conf:/etc/angie/angie.conf:ro
      - ./certs:/etc/ssl/certs:ro
    environment:
      - NGINX_ENTRYPOINT_QUIET_LOGS=1
    depends_on:
      - api
    networks:
      - api-network
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost/healthz"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

  # FastAPI application server
  api:
    build:
      context: .
      dockerfile: Dockerfile.api
      target: production
    environment:
      - API_HOST=0.0.0.0
      - API_PORT=8000
      - API_QUIC_PORT=8443
      - REDIS_HOST=redis
      - REDIS_PORT=6379
      - GCS_BUCKET=${GCS_BUCKET:-ttv-api-artifacts}
      - GCS_CREDENTIALS_PATH=/app/credentials/gcs-key.json
    volumes:
      - ./credentials:/app/credentials:ro
      - ./pipeline_config.yaml:/app/pipeline_config.yaml:ro
    ports:
      - "8000:8000/tcp"   # HTTP
      - "8443:8443/udp"   # QUIC
    depends_on:
      - redis
    networks:
      - api-network
    restart: unless-stopped
    command: >
      python -m api.server
      --environment production
      --certfile /app/credentials/cert.pem
      --keyfile /app/credentials/key.pem

  # RQ workers for job processing
  worker:
    build:
      context: .
      dockerfile: Dockerfile.api
      target: worker
    environment:
      - REDIS_HOST=redis
      - REDIS_PORT=6379
      - GCS_BUCKET=${GCS_BUCKET:-ttv-api-artifacts}
      - GCS_CREDENTIALS_PATH=/app/credentials/gcs-key.json
    volumes:
      - ./credentials:/app/credentials:ro
      - ./pipeline_config.yaml:/app/pipeline_config.yaml:ro
      - /tmp:/tmp  # For temporary video processing
    depends_on:
      - redis
    networks:
      - api-network
    restart: unless-stopped
    deploy:
      replicas: 2

  # Redis for job queue
  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
    volumes:
      - redis-data:/data
    networks:
      - api-network
    restart: unless-stopped
    command: redis-server --appendonly yes

networks:
  api-network:
    driver: bridge

volumes:
  redis-data:
    driver: local