Background
I have a multi-stage Dockerfile for a JupyterLab image. There are three stages:
serverkernel:mamba create -y -n /tmp/kernel-packages/myenv ...runner:
FROM ... as runner
...
COPY --from=kernel /tmp/kernel-packages/ /opt/conda/envs
RUN conda config --append envs_dirs /opt/conda/envs/
...
Problem
In the resulting image, the preferred python -m pip works, but pip gives:
bash: /opt/conda/envs/myenv/bin/pip: /tmp/kernel-packages/myenv/bin/python3.9: bad interpreter: No such file or directory
The reason is that pip has #!/tmp/kernel-packages/myenv/bin/python3.9 as its shebang.
Expected
A behaviour like pip install --root /tmp/server-packages ..., which works perfectly fine in a COPY --from=server /tmp/server-packages /.
Additional information
Additionally, some other binaries, like curl or papermill also have wrong paths hardcoded by conda. I've read about Anaconda | Moving Conda Environments, but it seems like overkill to use conda-pack and conda-unpack.
Workaround
Simply create an env by name: mamba create -y -n myenv and then in the runner stage COPY --from=kernel /opt/conda/envs /opt/conda/envs.
Question
Is there a Conda (Mamba) equivalent to pip install's --root option? I'm not looking for a solution to the stated problem as I have I have already found a way that works for me. My interest is purely in the functionality of the conda binary.