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CONTRIBUTING.md

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Contributing

Setting up a dev environment

Setting up minikube

Currently, these instructions only work with minikube but can be adapted to work with any other local kubernetes setup.

  1. Download, set up and start minikube

  2. Allow the spawned JupyterHub server pods to talk to the JupyterHub instance on your local machine with the following command:

    # Linux
sudo ip route add $(kubectl get node minikube -o jsonpath="{.spec.podCIDR}") via $(minikube ip)

# MACOS
sudo route -n add -net $(kubectl get node minikube -o jsonpath="{.spec.podCIDR}") $(minikube ip)

    You can later undo the effects of this with the following command

    # Linux
sudo ip route del $(kubectl get node minikube -o jsonpath="{.spec.podCIDR}")

# MACOS
sudo route delete -net $(kubectl get node minikube -o jsonpath="{.spec.podCIDR}")

Setup a virtual environment

  1. Clone this repository

  2. Setup a virtual environment, in whatever way works for you (venv, conda, etc)

  3. Install the packages specified in dev-requirements.txt

    python -m pip install -r dev-requirements.txt

  4. Install the jupyterhub-fancy-profiles package itself.

    python -m pip install -e .

    This also will build the JS and CSS assets.

  5. Install configurable-http-proxy, as that is required for JupyterHub to run.

    npm install configurable-http-proxy

  6. Put configurable-http-proxy in $PATH so jupyterhub can discover it.

    export PATH="$(pwd)/node_modules/.bin:${PATH}"

  7. Now, start jupyterhub and go to localhost:8000 to access it! You can login with any username and password.

    python -m jupyterhub

  8. If you're working on the JS / CSS, you can also run the following command in another terminal to automatically watch and rebuild the JS / CSS as you edit.

    npm run webpack:watch