Error activating binder environment on DataLab about binder

[leehart]

I suspect this might be due to an uncompleted ./binder/install-conda.sh due to using a micro VM.

[leehart]

With medium VM:

leehart@jupyter-leehart:~/gitRepos/vector-ops$ ./binder/install-conda.sh
[binder] skipping miniconda installation
[binder] installing packages
[binder] install conda
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \ 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed                                                                                                                                                                        

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - conda==4.8.3 -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0']

Your python: python=3.9

If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.

The following specifications were found to be incompatible with your system:

  - feature:/linux-64::__glibc==2.28=0
  - feature:|@/linux-64::__glibc==2.28=0

Your installed version is: 2.28

I'm starting to believe this isn't the way to get gsutil on DataLab, so will try to workaround.

[leehart]

I'm thinking of converting the Bash scripts to notebooks, just to run gsutil with the binder-v3.0.0 kernel, but this would still leave the question/problem hanging.
Another workaround might be sudo pip install gsutil, but I don't think that's what we want, long term.

[alimanfoo]

Hi @leehart, on datalab abafar you can just activate the pre-installed binder-v3.0.0 environment, i.e. from the terminal:

conda activate binder-v3.0.0

That includes gsutil.

Running ./binder/install-conda.sh or source binder/env.sh are only intended for when you're working on your own computer, not on datalab.

[leehart]

Thanks @alimanfoo

[alimanfoo]

No problem, sorry for any confusion.