docker-compose.yml

Rama main · réplica de lectura del repositorio original.

version: '3.8'

services:
  frontend:
    build:
      context: .
      dockerfile: Dockerfile.frontend
    ports:
      - "3000:3000"
    env_file:
      - ./frontend/.env
    volumes:
      - ./frontend:/app
      - frontend_node_modules:/app/node_modules
      - backend_assets:/app/backend-assets
    networks:
      - app-network


  backend:
    build: 
      context: .
      dockerfile: Dockerfile
    ports:
      - "8000:8000"
    env_file:
      - ./backend/.env
    environment:
      - PYTHONUNBUFFERED=1
      # Development mode
      - DEBUG=True
      - ENVIRONMENT=development
      # HuggingFace caching configuration
      - HF_HOME=/app/.cache/huggingface
      - HF_HUB_CACHE=/app/.cache/huggingface/hub
      - HF_HUB_DISABLE_TELEMETRY=1
      # Reduce parallelism to avoid conflicts
      - EMBEDDING_MAX_WORKERS=4
      - KB_MAX_WORKERS=4
      # Enable safe embedding mode for Docker
      - EMBEDDING_SINGLE_THREADED=true
      - EMBEDDING_SEQUENTIAL_FALLBACK=true
    volumes:
      # Hot reload: mount source code over the built code
      - ./backend/app:/app/app
      - ./backend/alembic:/app/alembic
      - ./backend/alembic.ini:/app/alembic.ini
      - ./backend/requirements.txt:/app/requirements.txt
      - ./uploads:/app/uploads
      - ./config:/app/config
      - backend_assets:/app/assets
      # Add caching volumes for models
      - huggingface_cache:/app/.cache/huggingface
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "curl", "-X", "GET", "-f", "http://localhost:8000/health"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 10s
    networks:
      - app-network
    # Use watchdog for file change detection and auto-reload
    command: bash -c "python -m uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload"
    # Keep container running
    stdin_open: true
    tty: true

  knowledge_processor:
    build: 
      context: .
      dockerfile: Dockerfile
    command: python -m app.workers.knowledge_processor
    env_file:
      - ./backend/.env
    environment:
      - PYTHONUNBUFFERED=1
      - DEBUG=True
      - ENVIRONMENT=development
      # HuggingFace caching configuration (shared with backend)
      - HF_HOME=/app/.cache/huggingface
      - HF_HUB_CACHE=/app/.cache/huggingface/hub
      - HF_HUB_DISABLE_TELEMETRY=1
      # PyTorch configuration (shared with backend)
      # Reduce parallelism to avoid conflicts
      - EMBEDDING_MAX_WORKERS=2
      - KB_MAX_WORKERS=2
      # Enable safe embedding mode for Docker
      - EMBEDDING_SINGLE_THREADED=true
      - EMBEDDING_SEQUENTIAL_FALLBACK=true
    volumes:
      - ./backend:/app
      - ./uploads:/app/uploads
      - ./config:/app/config
      # Share the same caching volumes with backend
      - huggingface_cache:/app/.cache/huggingface
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy
    restart: always
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"
    networks:
      - app-network

  ticket_investigator:
    build:
      context: .
      dockerfile: Dockerfile
    command: python -m app.workers.ticket_investigator
    env_file:
      - ./backend/.env
    environment:
      - PYTHONUNBUFFERED=1
      - DEBUG=True
      - ENVIRONMENT=development
      # FastEmbed (dedup embeddings) shares the HuggingFace cache
      - HF_HOME=/app/.cache/huggingface
      - HF_HUB_CACHE=/app/.cache/huggingface/hub
      - HF_HUB_DISABLE_TELEMETRY=1
    volumes:
      - ./backend:/app
      - huggingface_cache:/app/.cache/huggingface
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy
    restart: always
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"
    networks:
      - app-network

  crm_sync:
    build:
      context: .
      dockerfile: Dockerfile
    command: python -m app.workers.crm_sync
    env_file:
      - ./backend/.env
    environment:
      - PYTHONUNBUFFERED=1
      - DEBUG=True
      - ENVIRONMENT=development
    volumes:
      - ./backend:/app
    depends_on:
      db:
        condition: service_healthy
    restart: always
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"
    networks:
      - app-network

  db:
    build:
      context: .
      dockerfile: Dockerfile.postgres
    ports:
      - "5432:5432"
    environment:
      - POSTGRES_DB=chattermate
      - POSTGRES_USER=postgres
      - POSTGRES_PASSWORD=postgres
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U postgres"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 10s
    networks:
      - app-network

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
    volumes:
      - redis_data:/data
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 5s
    networks:
      - app-network

networks:
  app-network:
    driver: bridge
      
volumes:
  postgres_data:
  redis_data:
  frontend_node_modules:
  backend_assets:
  # Add new volumes for model caching
  huggingface_cache: