Wrap an arbitrary webapp so it can be used in place of jupyter-singleuser in a JupyterHub setting
Project description
jhsingle-native-proxy
Wrap an arbitrary webapp so it can be used in place of jupyter-singleuser in a JupyterHub setting.
Within JupyterHub this allows similar operation to jupyter-server-proxy except it also removes the Jupyter notebook itself, so is working directly with the arbitrary web service.
OAuth authentication is enforced based on JUPYTERHUB_* environment variables.
This is a very basic alpha version.
Install and Run
Install using pip.
pip install jhsingle-native-proxy
The process to start is specified on the command line, for example a streamlit web app:
jhsingle-native-proxy streamlit hello
By default the jhsingle-native-proxy server will listen on port 8888, forwarding to port 8500.
But you will normally need to tell jhsingle-native-proxy which port the end process will run in, and maybe tell the end process which port you want it to use (which you can do with the substitution variable {port}).
Note the use of -- to signal the end of command line options to jhsingle-native-proxy. Then the third party command line itself can contain options starting with dashes. An alternative is to use the substitution {--}
jhsingle-native-proxy -- streamlit hello --server.port {port} --server.headless True --server.enableCORS False
To run jhsingle-native-proxy itself listening on a different port use:
jhsingle-native-proxy --port 8000 streamlit hello
To run jhsingle-native-proxy on port 8000, and the end process on 8505:
jhsingle-native-proxy --port 8000 --destport 8505 -- streamlit hello --server.port {port} --server.headless True --server.enableCORS False
Use the JUPYTERHUB_SERVICE_PREFIX env var to specify the first part of the URL to listen to (and then strip before forwarding). E.g. JUPYTERHUB_SERVICE_PREFIX=/user/dan will mean requests on http://localhost:8888/user/dan/something will forward to http://localhost:8500/something
You can also specify --ip 0.0.0.0 for the address to listen on.
Below we use the substitution {--} for the command to run, allowing us to specify --ip to jhsingle-native-proxy instead of the command being run.
jhsingle-native-proxy --port 8000 --destport 8505 streamlit hello {--}server.port {port} {--}server.headless True {--}server.enableCORS False --ip 0.0.0.0
Voila example:
Running voila at the subfolder URL e.g. /user/dan/:
python -m jhsingle_native_proxy.main --destport 0 voila ./Presentation.ipynb {--}port={port} {--}no-browser {--}Voila.server_url=/ {--}Voila.base_url={base_url}/ {--}debug
'destport 0' above instructs jhsingle-native-proxy to choose a random free port on which to run the sub-process (Voila), and of course substitutes that as {port} in the Voila command line so it knows which port to listen on.
Authentication
The above examples all assume OAuth will be enforced, as per the JUPYTERHUB_* env vars.
Alternatives can be specified via the authtype flag:
Same as default:
jhsingle-native-proxy --authtype=oauth streamlit hello
No auth required at all:
jhsingle-native-proxy --authtype=none streamlit hello
Specifying Authorized Users
The env vars JUPYTERHUB_USER and JUPYTERHUB_GROUP can be used, as typical for any JupyterHub single server, to specify user/groups of JupyterHub that should be allowed access via OAuth. There is an additional bespoke env var called JUPYTERHUB_ANYONE which can be set to 1 to allow any authenticated user access. (i.e. anyone who has an account on the JupyterHub)
Development install
git clone https://github.com/ideonate/jhsingle-native-proxy.git
cd jhsingle-native-proxy
pip install -e .
To run directly in python: python -m jhsingle_native_proxy.main <rest of command line>
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