docker-compose.yml

# The setup of the tutorial: https://community-insights.readthedocs.io/en/latest/tutorial.html
#   cp .env.example .env    # then edit .env
#   docker compose up -d

# The logs are rotated: at most 5 files of 10 MB per service.
x-logging: &logging
  driver: json-file
  options:
    max-size: "10m"
    max-file: "5"

services:
  community-insights:
    image: ghcr.io/pycalendar/community-insights:stable  # or :latest for the main branch
    # build: .   # to use the local code instead
    ports:
      - "5000:5000"
    env_file: .env
    volumes:
      - ./data:/app/data   # the SQLite database and the generated secret key
    restart: unless-stopped
    logging: *logging
    # With PostgreSQL: remove the comments of the db service and of depends_on,
    # and set DATABASE_URL=postgres://community:community@db/community in .env
    # depends_on:
    #   - db

  # Optional: the fetch worker in a container of its own. Set
  # FETCH_WORKER=external-separate-container in .env (then the web container
  # starts no worker) and remove the comments. By default the image runs the
  # worker in the web container (external-http-container).
  # worker:
  #   image: ghcr.io/pycalendar/community-insights:stable
  #   entrypoint: ["python", "manage.py", "fetch_worker"]
  #   env_file: .env
  #   volumes:
  #     - ./data:/app/data
  #   restart: unless-stopped
  #   logging: *logging

  # Optional: PostgreSQL instead of SQLite, for many people.
  # db:
  #   image: postgres:17
  #   environment:
  #     POSTGRES_USER: community
  #     POSTGRES_PASSWORD: community
  #     POSTGRES_DB: community
  #   volumes:
  #     - ./data/postgres:/var/lib/postgresql/data
  #   restart: unless-stopped
  #   logging: *logging