Kernel discovering not locating python kernels

[ChrisIck]

I have a "main" jupyter environment py3.8, and a secondary environment rap_env. I would like to use nb_conda_kernels to access the environment of the second within a jupyterlab server from the first.

I've installed nb_conda_kernels==2.3.1 on the first notebook, and ipykernel on both environments per the installation instructions, additionally running:

python -m ipykernel install --user --name env_name --display-name "env_name-k"

Checking jupyter kernelspec list shows all the kernels:

(py3.8) [ci411@cm23 ~]$ jupyter kernelspec list
Available kernels:
  conda-root-py    /home/ci411/.local/share/jupyter/kernels/conda-root-py
  py3.8-k          /home/ci411/.local/share/jupyter/kernels/py3.8-k
  python3          /home/ci411/.local/share/jupyter/kernels/python3
  rap_env-k        /home/ci411/.local/share/jupyter/kernels/rap_env-k

However using nb_conda_kernels list does not:

(py3.8) [ci411@cm23 ~]$ python -m nb_conda_kernels list
[ListKernelSpecs] Removing existing kernelspec in /home/ci411/.local/share/jupyter/kernels/conda-root-py
[ListKernelSpecs] Installed kernelspec conda-root-py in /home/ci411/.local/share/jupyter/kernels/conda-root-py
[ListKernelSpecs] [nb_conda_kernels] enabled, 1 kernels found
Available kernels:
  conda-root-py    /share/apps/anaconda3/2020.07/share/jupyter/kernels/python3

My configuration is as follows:

(py3.8) [ci411@cm23 ~]$ python -m nb_conda_kernels.install --status --verbose
Determining the status of nb_conda_kernels...
CONDA_PREFIX: /scratch/ci411/.conda/envs/py3.8
Entry points:
  - conda = nb_conda_kernels.discovery:CondaKernelProvider
  NOTE: entry points not used in Jupyter 6.1.7
Configuration files:
  - /etc/jupyter: <no files>
  - /usr/local/etc/jupyter: <no files>
  * $CONDA_PREFIX/etc/jupyter: 
      jupyter_config.json: {
          "NotebookApp": {
            "kernel_spec_manager_class": "nb_conda_kernels.CondaKernelSpecManager"
          }
        }
      jupyter_notebook_config.json: {
          "NotebookApp": {
            "nbserver_extensions": {
              "nb_conda": true
            }
          }
        }
  - ~/.jupyter: 
      jupyter_config.json: {
          "CondaKernelSpecManager": {
            "kernelspec_path": "--user"
          }
        }
      jupyter_notebook_config.json: {
          "NotebookApp": {
            "password": "sha1:e4e8c97497ff:e7a7087290cde39f76f4cfdffb35afae14df46eb"
          }
        }
Status: enabled

I can see the kernels listed from jupyter kernelspec list in my notebooks, but they seem to point to the host environments packages, defeating the purpose of switching. What am I missing in the setup of my environment that will allow me to switch between conda environments in jupyter? Thanks for your help.

[ChrisIck]

Exporting both environments to yaml files and rebuilding them seems to have fixed the issue, although I'm unsure as to the cause/solution.