Closed manjilasingh closed 1 month ago
@manjilasingh How many users are requesting this feature, and which organization are they belongs to?
Before
$ jupyter kernelspec list
[ListKernelSpecs] WARNING | Config option `kernel_spec_manager_class` not recognized by `ListKernelSpecs`.
Available kernels:
python3 /srv/conda/envs/notebook/share/jupyter/kernels/python3
After
$ jupyter kernelspec list
[ListKernelSpecs] WARNING | Config option `kernel_spec_manager_class` not recognized by `ListKernelSpecs`.
Available kernels:
ir /srv/conda/envs/notebook/share/jupyter/kernels/ir
python3 /srv/conda/envs/notebook/share/jupyter/kernels/python3
@manjilasingh How many users are requesting this feature, and which organization are they belongs to?
@arpita0911patel might have that info
Correct command to use
RUN conda install -c r r-irkernel -y
After rebuild and use the image to launch instance in staging.
$ jupyter kernelspec list
[ListKernelSpecs] WARNING | Config option `kernel_spec_manager_class` not recognized by `ListKernelSpecs`.
Available kernels:
python3 /srv/conda/envs/notebook/share/jupyter/kernels/python3
(notebook) jovyan@jupyter-benlee0423:~$
This means conda command is not compatible with Dockerfile, and the command does not install R kernel to the image built.
@arpita0911patel We like to ask new image built tested by requester in staging if it works. Can you share the email address who requested r kernel, and I will send instruction how to test in staging?
Pabitra Dash pabitra.dash@usu.edu
The image with R kernel has been added to the prod environment.
Users currently need to reinstall r kernel every time they start a server. Adding r kernel directly to the image would eliminate the need of repeated installations. The following line can be added to the Dockerfile:
RUN conda install -c r r-irkernel