# Fabled Scribe — Quick Start
#
# No build required. Pulls the latest pre-built image from the registry.
#
# Usage:
#   1. Download this file
#   2. docker compose -f docker-compose.quickstart.yml up -d
#   3. Open http://localhost:5000 — the first account registered becomes admin
#   4. Go to Settings → General to pull an LLM model (qwen3:8b or llama3.1:8b are good starting points)
#
# Set SECRET_KEY via environment variable or a .env file alongside this file:
#   SECRET_KEY=your-random-secret-here

services:
  app:
    image: git.fabledsword.com/bvandeusen/fabledscribe:latest
    ports:
      - "5000:5000"
    environment:
      DATABASE_URL: "postgresql+asyncpg://fabled:fabled@db:5432/fabledassistant"
      SECRET_KEY: "${SECRET_KEY:-change-me-in-production}"
      OLLAMA_URL: "http://ollama:11434"
      OLLAMA_MODEL: "${OLLAMA_MODEL:-llama3.1:8b}"
      LOG_LEVEL: "${LOG_LEVEL:-INFO}"
    volumes:
      - app_data:/data
    depends_on:
      db:
        condition: service_healthy
      ollama:
        condition: service_healthy
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:5000/api/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 30s

  db:
    image: postgres:16-alpine
    volumes:
      - pgdata:/var/lib/postgresql/data
    environment:
      POSTGRES_USER: fabled
      POSTGRES_PASSWORD: fabled
      POSTGRES_DB: fabledassistant
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U fabled"]
      interval: 10s
      timeout: 5s
      retries: 5
    restart: unless-stopped

  ollama:
    image: ollama/ollama
    volumes:
      - ollama_models:/root/.ollama
    environment:
      OLLAMA_MAX_LOADED_MODELS: "2"
      OLLAMA_KEEP_ALIVE: "30m"
      OLLAMA_FLASH_ATTENTION: "1"
    healthcheck:
      test: ["CMD-SHELL", "ollama list > /dev/null 2>&1"]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 15s
    restart: unless-stopped
    # Uncomment to enable NVIDIA GPU passthrough (requires nvidia-container-toolkit):
    # deploy:
    #   resources:
    #     reservations:
    #       devices:
    #         - driver: nvidia
    #           count: all
    #           capabilities: [gpu]

volumes:
  app_data:
  pgdata:
  ollama_models: