siprems/docker-compose.yml at main · Akmalwizdom/siprems · GitHub

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services:
  # ===================================
  # DATABASE – PostgreSQL Local
  # ===================================
  db:
    image: postgres:16-alpine
    container_name: siprems-db
    restart: unless-stopped
    ports:
      - "5432:5432"
    environment:
      - POSTGRES_DB=siprems
      - POSTGRES_USER=postgres
      - POSTGRES_PASSWORD=postgres
    volumes:
      - postgres_data:/var/lib/postgresql/data
      - ./scripts/init-db.sql:/docker-entrypoint-initdb.d/init-db.sql
      - ./scripts/supabase-dump.sql:/docker-entrypoint-initdb.d/supabase-dump.sql
    networks:
      - siprems-network
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U postgres -d siprems"]
      interval: 10s
      timeout: 5s
      retries: 5

  # ===================================
  # BACKEND TypeScript – Express
  # ===================================
  backend:
    build:
      context: ./backend-ts
      dockerfile: Dockerfile
    container_name: siprems-backend-ts
    restart: unless-stopped
    ports:
      - "8000:8000"
    env_file:
      - ./backend-ts/.env
    environment:
      - DATABASE_URL=postgresql://postgres:postgres@db:5432/siprems
      - PORT=8000
      - ML_SERVICE_URL=http://ml-service:8001
      - GEMINI_API_KEY=${GEMINI_API_KEY}
    depends_on:
      db:
        condition: service_healthy
      ml-service:
        condition: service_healthy
    networks:
      - siprems-network
    healthcheck:
      test: [ "CMD", "wget", "-q", "--spider", "http://localhost:8000/health" ]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 20s

  # ===================================
  # ML SERVICE Python – Prophet Models
  # ===================================
  ml-service:
    build:
      context: ./ml-service
      dockerfile: Dockerfile
    container_name: siprems-ml-service
    restart: unless-stopped
    ports:
      - "8001:8001"
    environment:
      - DATABASE_URL=postgresql://postgres:postgres@db:5432/siprems
      - PORT=8001
    depends_on:
      db:
        condition: service_healthy
    volumes:
      - model_data:/app/models # Model persistence
    networks:
      - siprems-network
    healthcheck:
      test: [ "CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8001/health')" ]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s

  # ===================================
  # FRONTEND – React/Vite
  # ===================================
  frontend:
    build:
      context: .
      dockerfile: Dockerfile.frontend
      target: development # Change to "production" for production builds
    container_name: siprems-frontend
    restart: unless-stopped
    ports:
      - "3000:3000"
    volumes:
      - ./src:/app/src
      - ./public:/app/public
      - ./vite.config.ts:/app/vite.config.ts
      - ./index.html:/app/index.html
    environment:
      - VITE_API_BASE_URL=http://localhost:8000/api
      - VITE_FIREBASE_API_KEY=${VITE_FIREBASE_API_KEY}
      - VITE_FIREBASE_AUTH_DOMAIN=${VITE_FIREBASE_AUTH_DOMAIN}
      - VITE_FIREBASE_PROJECT_ID=${VITE_FIREBASE_PROJECT_ID}
      - VITE_FIREBASE_STORAGE_BUCKET=${VITE_FIREBASE_STORAGE_BUCKET}
      - VITE_FIREBASE_MESSAGING_SENDER_ID=${VITE_FIREBASE_MESSAGING_SENDER_ID}
      - VITE_FIREBASE_APP_ID=${VITE_FIREBASE_APP_ID}
    depends_on:
      backend:
        condition: service_healthy
    networks:
      - siprems-network

  # ===================================
  # RETRAIN SCHEDULER (Optional)
  # ===================================
  retrain-scheduler:
    build:
      context: ./ml-service
      dockerfile: Dockerfile
    container_name: siprems-retrain-scheduler
    restart: "no"
    command: [ "python", "/app/train_on_startup.py" ]
    environment:
      - DATABASE_URL=postgresql://postgres:postgres@db:5432/siprems
      - ML_SERVICE_URL=http://ml-service:8001
    depends_on:
      db:
        condition: service_healthy
      ml-service:
        condition: service_healthy
    networks:
      - siprems-network
    profiles:
      - scheduler # Only start with: docker compose --profile scheduler up

# ===================================
# VOLUMES
# ===================================
volumes:
  postgres_data:
    driver: local
  model_data:
    driver: local

# ===================================
# NETWORKS
# ===================================
networks:
  siprems-network:
    driver: bridge