# Cognifold service — local Docker stack.
#
#   docker compose up            # build (first run) + start the API
#   docker compose up -d         # same, detached
#   docker compose up --build    # force a rebuild
#
# The API is then available at http://localhost:8000 (docs at /docs).
# Configuration is read from .env (copy .env.example -> .env first).

services:
  cognifold:
    build:
      context: .
      dockerfile: Dockerfile
    image: cognifold:local
    ports:
      - "8000:8000"
    # Loads GOOGLE_API_KEY, COGNIFOLD_* settings, etc. Copy .env.example -> .env.
    env_file:
      - .env
    healthcheck:
      # The image ships python; use it rather than assuming curl is installed.
      test: ["CMD", "python", "-c", "import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://127.0.0.1:8000/health').status==200 else 1)"]
      interval: 30s
      timeout: 5s
      retries: 3
      start_period: 20s
    restart: unless-stopped
    # To use the Redis session backend instead of file storage, set these in
    # .env (or uncomment here) and enable the redis service below:
    #   COGNIFOLD_SESSION_BACKEND=redis
    #   COGNIFOLD_REDIS_URL=redis://redis:6379/0
    # depends_on:
    #   redis:
    #     condition: service_healthy

  # --- Optional Redis session backend ---------------------------------------
  # Uncomment this service (and the depends_on block above) to run Redis-backed
  # sessions. Then set in .env:
  #   COGNIFOLD_SESSION_BACKEND=redis
  #   COGNIFOLD_REDIS_URL=redis://redis:6379/0
  #
  # redis:
  #   image: redis:7-alpine
  #   ports:
  #     - "6379:6379"
  #   healthcheck:
  #     test: ["CMD", "redis-cli", "ping"]
  #     interval: 10s
  #     timeout: 3s
  #     retries: 5
  #   restart: unless-stopped
  #   volumes:
  #     - redis-data:/data

# volumes:
#   redis-data: