CodeBase-Copilot-Platform/docker-compose.yml at master · laoba-01/CodeBase-Copilot-Platform · GitHub

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services:
  # ── Cloudflare Tunnel (handles TLS, DDoS, WAF at the edge) ──
  # Setup: https://one.dash.cloudflare.com → Networks → Tunnels → Create
  # Copy the tunnel token to .env as CLOUDFLARE_TUNNEL_TOKEN
  cloudflared:
    image: cloudflare/cloudflared:latest
    command: tunnel run --token ${CLOUDFLARE_TUNNEL_TOKEN}
    restart: unless-stopped
    depends_on:
      - app
    deploy:
      resources:
        limits:
          cpus: '0.25'
          memory: 64M

  app:
    build: .
    dns:
      - 8.8.8.8
      - 1.1.1.1
    ports:
      - "127.0.0.1:8080:8080"
    env_file: .env
    environment:
      DATABASE_URL: postgres://copilot:copilot@db:5432/copilot?sslmode=disable
      REDIS_URL: redis://:copilot-redis@redis:6379
      EMBEDDING_ADDR: embedding:50051
      DEV_MODE: "false"
      CORS_ORIGIN: "${CORS_ORIGIN:-https://your-domain.com}"
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_started
    volumes:
      - ./data/repos:/data/repos
      - ./web/dist:/app/web/dist
    restart: unless-stopped
    deploy:
      resources:
        limits:
          cpus: '2'
          memory: 512M

  db:
    image: pgvector/pgvector:pg16
    environment:
      POSTGRES_USER: copilot
      POSTGRES_PASSWORD: copilot
      POSTGRES_DB: copilot
    ports:
      - "127.0.0.1:5432:5432"
    volumes:
      - pgdata:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U copilot"]
      interval: 5s
      timeout: 5s
      retries: 5
    restart: unless-stopped
    deploy:
      resources:
        limits:
          cpus: '1'
          memory: 512M

  redis:
    image: redis:7-alpine
    command: redis-server --requirepass copilot-redis --maxmemory 256mb --maxmemory-policy allkeys-lru
    ports:
      - "127.0.0.1:6379:6379"
    restart: unless-stopped
    deploy:
      resources:
        limits:
          cpus: '0.25'
          memory: 256M

  embedding:
    build:
      context: .
      dockerfile: python-embedding/Dockerfile.cpu
    ports:
      - "127.0.0.1:50051:50051"
    environment:
      MODELSCOPE_CACHE: /modelscope-cache
    volumes:
      - modelscope_data:/modelscope-cache
    restart: unless-stopped
    deploy:
      resources:
        limits:
          cpus: '2'
          memory: 2G

volumes:
  pgdata:
  modelscope_data: