Wardrowbe

services:
  postgres:
    image: postgres:15-alpine
    restart: unless-stopped
    environment:
      # Internal database user (Postgres is only reachable inside the compose network).
      POSTGRES_USER: "wardrobe"
      # Internal database password.
      POSTGRES_PASSWORD: "wardrobe"
      # Name of the application database.
      POSTGRES_DB: "wardrobe"
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U wardrobe"]
      interval: 10s
      timeout: 5s
      retries: 5

  redis:
    image: redis:7-alpine
    restart: unless-stopped
    volumes:
      - redis_data:/data
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s
      retries: 5

  backend:
    image: ghcr.io/anyesh/wardrowbe:backend-latest
    restart: unless-stopped
    extra_hosts:
      - "host.docker.internal:host-gateway"
    environment:
      # Enable verbose debug logging.
      DEBUG: "false"
      # User/group id the container process drops to (match your host user to align file ownership).
      PUID: "1000"
      PGID: "1000"
      # Async Postgres connection string used by the backend.
      DATABASE_URL: "postgresql+asyncpg://wardrobe:wardrobe@postgres:5432/wardrobe"
      # Redis connection used for the background job queue.
      REDIS_URL: "redis://redis:6379/0"
      # Secret key used to sign application tokens. Generate a long random value.
      SECRET_KEY: "changeme"
      # JSON array of browser origins allowed to call the API.
      CORS_ORIGINS: '["http://localhost:3000", "http://frontend:3000"]'
      # In-container path where uploaded wardrobe images are stored.
      STORAGE_PATH: "/data/wardrobe"
      # OIDC single sign-on issuer URL (optional; leave empty to use built-in auth only).
      OIDC_ISSUER_URL: ""
      # OIDC client id (optional).
      OIDC_CLIENT_ID: ""
      # OIDC client secret (optional).
      OIDC_CLIENT_SECRET: ""
      # Trust a reverse-proxy authentication header for SSO (only enable behind a trusted proxy).
      AUTH_TRUST_HEADER: "false"
      # OpenAI-compatible endpoint for AI clothing tagging (defaults to a local Ollama on the host).
      AI_BASE_URL: "http://host.docker.internal:11434/v1"
      # Vision model used to analyse clothing images.
      AI_VISION_MODEL: "gpt-4o"
      # Text model used to generate tags and descriptions.
      AI_TEXT_MODEL: "gpt-4o"
      # AI request timeout in seconds.
      AI_TIMEOUT: "120"
      # Number of retries for failed AI requests.
      AI_MAX_RETRIES: "3"
      # Master switch for the built-in AI integration.
      AI_INTERNAL_ENABLED: "true"
      # Enable AI vision tagging (leave empty to keep it off).
      AI_VISION_ENABLED: ""
      # Enable AI text tagging (leave empty to keep it off).
      AI_TEXT_ENABLED: ""
      # ntfy push-notification server URL (optional).
      NTFY_SERVER: ""
      # ntfy access token (optional).
      NTFY_TOKEN: ""
      # Mattermost incoming-webhook URL for notifications (optional).
      MATTERMOST_WEBHOOK_URL: ""
    volumes:
      - wardrobe_data:/data/wardrobe
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/api/v1/health"]
      interval: 30s
      timeout: 10s
      retries: 3

  frontend:
    image: ghcr.io/anyesh/wardrowbe:frontend-latest
    restart: unless-stopped
    environment:
      # Internal URL the Next.js server uses to reach the backend API.
      BACKEND_URL: "http://backend:8000"
      # Public URL where users access wardrObe (used by NextAuth for callbacks).
      NEXTAUTH_URL: "http://localhost:3000"
      # Secret used by NextAuth to encrypt sessions. Generate a long random value.
      NEXTAUTH_SECRET: "changeme"
      # Enable frontend development mode.
      DEV_MODE: "false"
      # User/group id the container process drops to.
      PUID: "1001"
      PGID: "1001"
    depends_on:
      - backend

  worker:
    image: ghcr.io/anyesh/wardrowbe:backend-latest
    restart: unless-stopped
    command: arq app.workers.worker.WorkerSettings
    extra_hosts:
      - "host.docker.internal:host-gateway"
    environment:
      # User/group id the container process drops to.
      PUID: "1000"
      PGID: "1000"
      # Async Postgres connection string used by the worker.
      DATABASE_URL: "postgresql+asyncpg://wardrobe:wardrobe@postgres:5432/wardrobe"
      # Redis connection used for the background job queue.
      REDIS_URL: "redis://redis:6379/0"
      # OpenAI-compatible endpoint for AI clothing tagging.
      AI_BASE_URL: "http://host.docker.internal:11434/v1"
      # Vision model used to analyse clothing images.
      AI_VISION_MODEL: "gpt-4o"
      # Text model used to generate tags and descriptions.
      AI_TEXT_MODEL: "gpt-4o"
      # AI request timeout in seconds.
      AI_TIMEOUT: "120"
      # Number of retries for failed AI requests.
      AI_MAX_RETRIES: "3"
      # Number of AI tagging jobs processed concurrently.
      AI_TAGGING_CONCURRENCY: "5"
      # Master switch for the built-in AI integration.
      AI_INTERNAL_ENABLED: "true"
      # Enable AI vision tagging (leave empty to keep it off).
      AI_VISION_ENABLED: ""
      # Enable AI text tagging (leave empty to keep it off).
      AI_TEXT_ENABLED: ""
      # In-container path where uploaded wardrobe images are stored.
      STORAGE_PATH: "/data/wardrobe"
    volumes:
      - wardrobe_data:/data/wardrobe
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy

volumes:
  postgres_data:
  redis_data:
  wardrobe_data: