Automatically Expire Jupyterhub And Single User Server Cookies At

Github Monksterfx Jupyterhub Single Server Single Docker Instanz Right now, once a user has logged in to their single user server, they're considered validated forever unless they log out. in particular, even if their hub token is revoked, the single user server never learns about this fact because it happily accepts their existing single user token. We have tried to implement culling of user servers and in “just in case it helps” expiring of cookies, but neither seems to be doing what we expect. culling does kill some of the servers, but the user’s oauth cookie is retained.

Jupyterhub User Server Goes Down Automatically Issue 2652 If your authenticator does not or cannot implement refresh user, the only way to force a check is to reset the jupyterhub.cookie secret encryption key, which invalidates the jupyterhub hub login cookie for all users. I did a quick setup of a jupyter notebook server and provided access to a few users. now that it's no longer needed, how can i force the authentication cookies to expire and reset the authentication token?. This should affect most cookies, but not the cookie used with the single user server. we will need to expose some configuration for that. By default, jupyter server uses its own cookie to authenticate. if that cookie is not present, the server redirects you a login page and asks you to enter a password or token. jupyter server 2.0 introduces two new apis for customizing authentication: the identityprovider and the authorizer.

How To Restart Jupyterhub Issue 2399 Jupyterhub Jupyterhub Github This should affect most cookies, but not the cookie used with the single user server. we will need to expose some configuration for that. By default, jupyter server uses its own cookie to authenticate. if that cookie is not present, the server redirects you a login page and asks you to enter a password or token. jupyter server 2.0 introduces two new apis for customizing authentication: the identityprovider and the authorizer. Is there a way to increase the max age of the cookie set on the login page or another workaround? we prefer to have the login page open at boot, as it serves as a simple confirmation that the hub is accessible and functioning properly. Doing so at the moment does mean that you are setting a max age of user servers before they must be forced to restart in order to get a fresh token, but for many deployments that's likely not an issue, so i think it's okay to add the option with this caveat. As explained in the configuration basics section, the jupyterhub config.py can be automatically generated via. most of this information is available in a nicer format in: the following contains the output of that command for reference. Your users need to “stop” the running instances of single user servers from jupyterhub. if you cant be sure that your users will actually stop the servers, you can use jupyterhub idle culler that will kill the “idle” instances of jupyterlab.

Compatibility With Jupyter Server 2 Issue 347 Jupyterhub Jupyter Is there a way to increase the max age of the cookie set on the login page or another workaround? we prefer to have the login page open at boot, as it serves as a simple confirmation that the hub is accessible and functioning properly. Doing so at the moment does mean that you are setting a max age of user servers before they must be forced to restart in order to get a fresh token, but for many deployments that's likely not an issue, so i think it's okay to add the option with this caveat. As explained in the configuration basics section, the jupyterhub config.py can be automatically generated via. most of this information is available in a nicer format in: the following contains the output of that command for reference. Your users need to “stop” the running instances of single user servers from jupyterhub. if you cant be sure that your users will actually stop the servers, you can use jupyterhub idle culler that will kill the “idle” instances of jupyterlab.

Jupyterlab 1 0 Support Issue 130 Jupyterhub Jupyter Server Proxy As explained in the configuration basics section, the jupyterhub config.py can be automatically generated via. most of this information is available in a nicer format in: the following contains the output of that command for reference. Your users need to “stop” the running instances of single user servers from jupyterhub. if you cant be sure that your users will actually stop the servers, you can use jupyterhub idle culler that will kill the “idle” instances of jupyterlab.