# DocAI Fabric — Self-Hosted Standalone (Single Node)
# Companion file for the guide: https://app.docaifabric.com/docs/deployment/self-hosted-standalone
# Save this file as docker-compose.yml next to your .env settings file.

services:
  redis:
    image: redis:7-alpine
    command: redis-server --appendonly yes --maxmemory 512mb --maxmemory-policy noeviction
    volumes:
      - redis_data:/data
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 3s
      retries: 5
    restart: unless-stopped

  docaifabric:
    image: ${DOCAI_IMAGE}
    # The image is x86_64 (amd64) only. This line lets it run on Apple Silicon
    # Macs under emulation; on a native x86_64 host it is a harmless no-op.
    platform: linux/amd64
    depends_on:
      redis:
        condition: service_healthy
    ports:
      - "8080:8080"
    volumes:
      - ./data/storage:/app/storage
    environment:
      # Connect to the Redis service defined below
      - REDIS_URL=redis://redis:6379/0
      # Secrets (set these in .env)
      - ADMIN_API_KEY=${ADMIN_API_KEY}
      - TENANT_MODELS_ENCRYPTION_KEY=${TENANT_MODELS_ENCRYPTION_KEY}
      # Public URL used in links the app shows
      - APP_URL=${APP_URL:-http://localhost:8080}
      # OCR engines. The two bundled engines run locally, no cloud. Microsoft
      # Read is optional and calls Azure Document Intelligence (needs the
      # endpoint + key below and outbound HTTPS). Values come from .env (Step 4).
      - RAPID_OCR_ENABLED=${RAPID_OCR_ENABLED:-true}
      - TESSERACT_OCR_ENABLED=${TESSERACT_OCR_ENABLED:-true}
      - MICROSOFT_OCR_ENABLED=${MICROSOFT_OCR_ENABLED:-false}
      - MICROSOFT_OCR_ENDPOINT=${MICROSOFT_OCR_ENDPOINT:-}
      - MICROSOFT_OCR_KEY=${MICROSOFT_OCR_KEY:-}
      - DEFAULT_OCR_ENGINE=${DEFAULT_OCR_ENGINE:-rapid_ocr}
      # Default LLM — any OpenAI-compatible endpoint. Values come from .env (Step 4).
      - LLM_BASE_URL=${LLM_BASE_URL:-}
      - LLM_MODEL=${LLM_MODEL:-}
      - LLM_API_KEY=${LLM_API_KEY:-}
      - LLM_PROTOCOL=${LLM_PROTOCOL:-openai_compatible}
      - LLM_AUTH_MODE=${LLM_AUTH_MODE:-bearer}
      # Advanced: several LLM endpoints (failover / load-balance) as a JSON array.
      - AZURE_OPENAI_ENDPOINTS=${AZURE_OPENAI_ENDPOINTS:-}
      # AI Assistant. By default it uses the Default LLM above and turns on
      # automatically once a Default LLM is set. Set ASSISTANT_ENABLED=false to
      # turn it off, or ASSISTANT_MODEL to give it a different model (Step 4).
      - ASSISTANT_ENABLED=${ASSISTANT_ENABLED:-true}
      - ASSISTANT_MODEL=${ASSISTANT_MODEL:-}
      # Email notifications (optional). Set the SMTP_* values in .env to enable
      # invitation and notification emails; email stays off while SMTP_HOST is empty.
      - SMTP_HOST=${SMTP_HOST:-}
      - SMTP_PORT=${SMTP_PORT:-587}
      - SMTP_USER=${SMTP_USER:-}
      - SMTP_PASSWORD=${SMTP_PASSWORD:-}
      - SMTP_FROM=${SMTP_FROM:-}
      - SMTP_USE_TLS=${SMTP_USE_TLS:-true}
      # Apple Silicon Macs only (see .env). Harmless to leave as-is elsewhere.
      - RULE_EXECUTOR_USE_VM=${RULE_EXECUTOR_USE_VM:-false}
    restart: unless-stopped
    healthcheck:
      test: ["CMD-SHELL", "python -c 'import requests; requests.get(\"http://localhost:8080/health\", timeout=5)'"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

volumes:
  redis_data: