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nbgrader too welded to configuration

See original GitHub issue

Some original use cases for this deployment seem to be broken right now:

Deploy with no nbgrader config at all: I know the current name of this deployment is jupyterhub-deploy-teaching but that is a bit of a misnomer. In reality, this deployment is also very well matched to small teams of data scientists working on a single shared system. Originally, the nbgrader config could be left as is and everything would work fine. That is not the case today as the default config will cause the user instructor to be used. We should add a use_nbgrader flag to completely disable it.
Multiple nbgrader configs, setup after initial deployment: We often run a single server for a long period of time with this deployment and over time add more nbgrader/formgrade configurations. Previously, I could edit the nbgrader vars in the host_vars file and rerun the deploy-formgrade.yml playbook to add a new nbgrader setup. That no longer works as the formgrade user and the formgrade API token is injected into the jupyterhub config file. It is important to support adding new nbgrader courses, without restarting or reconfiguring the hub. To support this usage case, we may want to move the vars related to a particular nbgrader course to the deploy-formgrade.yml playbook to make that relationship more clear.

Issue Analytics

State:
Created 7 years ago
Comments:8 (8 by maintainers)

Top GitHub Comments

1reaction

ellisonbgcommented, Jan 4, 2017

The only part I haven’t done is to ensure that the proxy and single-user servers stay running. I will open a separate issue for that.

0reactions

ellisonbgcommented, Jan 4, 2017

Should be fixed in master.

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