Does not work with TLJH?
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I have an install of TLJH which creates another conda environment with a yaml file (in addition to base), which I create with sudo /opt/tljh/user/bin/conda env update --file environment.yml. Eventually I'll need to add other environments, but let's stick with two for now.
If I run /opt/tljh/user/bin/conda info --env I correctly see both:
# conda environments:
#
base * /opt/tljh/user
gisandbox /opt/tljh/user/envs/gisandbox
On JupyterHub, only the base is used. So I installed nb_conda_kernels as follows:
sudo /opt/tljh/user/bin/conda install nb_conda_kernels
sudo /opt/tljh/user/bin/conda install -n gisandbox ipykernel # since it cannot be in environment.py for other reasons (MyBinder)
And that somewhat works, in that with PATH=/opt/tljh/user/bin/:$PATH python -m nb_conda_kernels list I see
[ListKernelSpecs] WARNING | Config option `kernel_spec_manager_class` not recognized by `ListKernelSpecs`.
[ListKernelSpecs] [nb_conda_kernels] enabled, 2 kernels found
Available kernels:
conda-env-gisandbox-py /opt/tljh/user/envs/gisandbox/share/jupyter/kernels/python3
python3 /opt/tljh/user/share/jupyter/kernels/python3
conda-root-py /opt/tljh/user/share/jupyter/kernels/python3
It is a little strange that a kernel is reported twice, but counted once, and that the names do not match the other ones, but I can live with that.
The problem is that in the browser I don't see see anything indicating this other environment. I'd post a screenshot as requested in other issue reports, but I am not even sure a screenshot of what, since the instructions do not indicate where I should see this option (notebook? hub? lab? where?) -- perhaps you should include a screenshot in the instructions ;-)
If I start a notebook and try to import packages that are included in the custom environment, that fails, so I know it is using base.
It does work. See https://github.com/geospatialcomputing/gisandbox for how I implemented it.