docker-compose.yml

version: "3"
services:
  fastai: &fastai
    restart: unless-stopped
    working_dir: /data
    image: fastai/codespaces
    logging:
      driver: json-file
      options:
        max-size: 50m
    stdin_open: true
    tty: true
    volumes:
      - .:/data/
    environment:
#      - LIB_INSTALL_TYPE=.[dev] && pip install --pre torch --extra-index-url https://download.pytorch.org/whl/nightly/cpu --upgrade #optionally change this locally to .[dev] and install nighty torch
      - LIB_INSTALL_TYPE=. #optionally change this locally to .[dev] to install dev packages as well

  notebook:
    <<: *fastai
    command: bash -c "pip install -e $$LIB_INSTALL_TYPE && jupyter notebook --allow-root --no-browser --ip=0.0.0.0 --port=8080 --NotebookApp.token='' --NotebookApp.password=''"
    ports:
      - "8080:8080"

  watcher:
    <<: *fastai
    command: watchmedo shell-command --command nbdev_build_docs --pattern *.ipynb --recursive --drop
    network_mode: host # for GitHub Codespaces https://github.com/features/codespaces/

  jekyll:
    <<: *fastai
    ports:
     - "4000:4000"
    command: >
     bash -c "cp -r docs_src docs
     && pip install $$LIB_INSTALL_TYPE
     && nbdev_build_docs && cd docs
     && bundle i
     && bundle exec jekyll serve --host 0.0.0.0"