data-8/oauthenticator

Name: oauthenticator

Owner: Data Science 8

Description: OAuth + JupyterHub Authenticator = OAuthenticator

Forked from: jupyterhub/oauthenticator

Created: 2017-03-14 00:24:28.0

Updated: 2017-03-14 00:24:30.0

Pushed: 2017-05-02 13:31:24.0

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Size: 144

Language: Python

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README

OAuthenticator

OAuth + JupyterHub Authenticator = OAuthenticator

Examples

For an example docker image using OAuthenticator, see the example directory.

There is another example for using GitHub OAuth to spawn each user's server in a separate docker container.

Installation

Install with pip:

pip3 install oauthenticator

Or clone the repo and do a dev install:

git clone https://github.com/jupyterhub/oauthenticator.git
cd oauthenticator
pip3 install -e .
GitHub Setup

First, you'll need to create a GitHub OAuth application. Make sure the callback URL is:

http[s]://[your-host]/hub/oauth_callback

Where [your-host] is where your server will be running. Such as example.com:8000.

Then, add the following to your jupyterhub_config.py file:

c.JupyterHub.authenticator_class = 'oauthenticator.GitHubOAuthenticator'

(you can also use LocalGitHubOAuthenticator to handle both local and GitHub auth).

You will additionally need to specify the OAuth callback URL, the client ID, and the client secret (you should have gotten these when you created your OAuth app on GitHub). For example, if these values are in the environment variables $OAUTH_CALLBACK_URL, $GITHUB_CLIENT_ID and $GITHUB_CLIENT_SECRET, you should add the following to your jupyterhub_config.py:

c.GitHubOAuthenticator.oauth_callback_url = os.environ['OAUTH_CALLBACK_URL']
c.GitHubOAuthenticator.client_id = os.environ['GITHUB_CLIENT_ID']
c.GitHubOAuthenticator.client_secret = os.environ['GITHUB_CLIENT_SECRET']

You can use your own Github Enterprise instance by setting the GITHUB_HOST environment flag.

GitLab Setup

First, you'll need to create a GitLab OAuth application. Make sure the callback URL is:

http[s]://[your-host]/hub/oauth_callback

Where [your-host] is where your server will be running. Such as example.com:8000.

Then, add the following to your jupyterhub_config.py file:

c.JupyterHub.authenticator_class = 'oauthenticator.gitlab.GitLabOAuthenticator'

(you can also use LocalGitLabOAuthenticator to handle both local and GitLab auth).

You will additionally need to specify the OAuth callback URL, the client ID, and the client secret (you should have gotten these when you created your OAuth app on GitLab). For example, if these values are in the environment variables $OAUTH_CALLBACK_URL, $GITLAB_CLIENT_ID and $GITLAB_CLIENT_SECRET, you should add the following to your jupyterhub_config.py:

c.GitLabOAuthenticator.oauth_callback_url = os.environ['OAUTH_CALLBACK_URL']
c.GitLabOAuthenticator.client_id = os.environ['GITLAB_CLIENT_ID']
c.GitLabOAuthenticator.client_secret = os.environ['GITLAB_CLIENT_SECRET']

You can use your own GitLab CE/EE instance by setting the GITLAB_HOST environment flag.

Google Setup

Visit https://console.developers.google.com to set up an OAuth client ID and secret. See Google's documentation on how to create OAUth 2.0 client credentials. The Authorized JavaScript origins should be set to to your hub's public address while Authorized redirect URIs should be set to the same but followed by /hub/oauth_callback.

Set the generated client ID and secret in your jupyterhub_config:

c.GoogleOAuthenticator.client_id = os.environ['OAUTH_CLIENT_ID']
c.GoogleOAuthenticator.client_secret = os.environ['OAUTH_CLIENT_SECRET']
c.GoogleOAuthenticator.oauth_callback_url = os.environ['OAUTH_CALLBACK_URL']

For a Google Apps domain you can set:

c.GoogleOAuthenticator.hosted_domain = 'mycollege.edu'
c.GoogleOAuthenticator.login_service = 'My College'
OpenShift Setup

In case you have an OpenShift deployment with OAuth properly configured (see the following sections for a quick reference), you should set the client ID and secret by the environment variables OAUTH_CLIENT_ID, OAUTH_CLIENT_SECRET and OAUTH_CALLBACK_URL. The OpenShift API URL can be specified by setting the variable OPENSHIFT_URL.

The OAUTH_CALLBACK_URL should match http[s]://[your-app-route]/hub/oauth_callback

Global OAuth (admin)

As a cluster admin, you can create a global OAuth client in your OpenShift cluster creating a new OAuthClient object using the API:

 create -f - <<EOF
ersion: v1
: OAuthClient
data:
me: <OAUTH_CLIENT_ID>
rectURIs:
UAUTH_CALLBACK_URL>
et: <OAUTH_SECRET>

Service Accounts as OAuth Clients

As a project member, you can use the Service Accounts as OAuth Clients scenario. This gives you the possibility of defining clients associated with service accounts. You just need to create the service account with the proper annotations:

 create -f - <<EOF
ersion: v1
: ServiceAccount
data:
me: <name>
notations:
serviceaccounts.openshift.io/oauth-redirecturi.1: '<OUAUTH_CALLBACK_URL>'

In this scenario your OAUTH_CLIENT_ID will be system:serviceaccount:<serviceaccount_namespace>:<serviceaccount_name>, the OAUTH_CLIENT_SECRET is the API token of the service account (oc sa get-token <serviceaccount_name>) and the OAUTH_CALLBACK_URL is the value of the annotation serviceaccounts.openshift.io/oauth-redirecturi.1. More details can be found in the upstream documentation.

OkpyAuthenticator

Okpy is an auto-grading tool that is widely used in UC Berkeley EECS and Data Science courses. This authenticator enhances its support for Jupyter Notebook by enabling students to authenticate with the Hub first and saving relevant user states to the env (the feature is redacted until a secure state saving mechanism is developed).

Configuration

If you want to authenticate your Hub using OkpyAuthenticator, you need to specify the authenticator class in your jupyterhub_config.py file:

pyterHub.authenticator_class = 'oauthenticator.okpy.OkpyOAuthenticator'

You also need to configure the following parameters:

pyOAuthenticator.client_id =  #client_id recognized by Okpy
pyOAuthenticator.client_secret = #the associated client secret
pyOAuthenticator.oauth_callback_url = #callback url to the Hub

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.