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minrk avatar minrk commented on June 12, 2024

I, too, wish this could have been Python! But it was vastly simpler to extend the existing node-http-proxy than to reimplement a proxy in Python. Node.js was chosen specifically because it makes the lives of maintainers of jupyterhub easier, despite it not being in our language of choice. Right now, installing node.js is a whole lot less work that writing and maintaining a whole new proxy. CHP sits on an existing proxy, so the only bit we maintain is the configurable- in configurable-http-proxy, making this a very small and low-maintenance project. Which is very important when we are a small team spread across many projects.

If you have different requirements, JupyterHub allows any proxy implementation now, so it is possible to write a Python proxy for JupyterHub. There is one in nginx and one for kubernetes ingress.

If you want to write and maintain a Python proxy, I'm sure that would make some folks happy, but since it would greatly increase our maintenance burden here, it is not planned.

nbrserverproxy is on its way to implementing most of the necessary features, but with less performance considerations since it's one per user.

from configurable-http-proxy.

nfx avatar nfx commented on June 12, 2024

@minrk thanks for NCHP reference! probably it's the thing that is better than writing own with Python. It took couple of hours to actually get basic API and functionality working with approach similar to nbrserverproxy. I'm also glad to hear than JupyterHub now supports different proxy commands - we haven't updated the version for about a year and now it's the time.

from configurable-http-proxy.

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