feat: add py-pip to env

Let's put py-pip into the ESD as use cases often rely on pip install … and we can't rely on the system-installed version of pip. (I.e. it's plain luck that those use cases worked before.)

(FYI @kindler)

We might want to put this into a wf- package… as we use those packages to describe "use cases".

@emuller yes, I think that would make more sense: spack.yaml only includes EBRAINS top-level packages, everything needed for specific use-cases should go into a wf- package (and packages only needed for the Lab installation should go into site-config/ebrainslab/spack.yaml)

On the other hand, since we include all dependencies in the wf- packages, needing pip at all seems a bit weird? ebrains-drive specifically, that is mentioned in @kindler's email, is already part of the ESD.

I agree, something like ebrains-drive should be included in the ESD, but I believe there are still many use cases where people just install something… I can't judge if those cases are valid or just bad style.

I.e. let's cover all the use cases in wf-*, but allow for people to do dirty stuff? (wish/goal vs. reality)

OK, so could you add it to your wf- package instead?

This one is not bss2 demos… I believe this used for "collab-tutorial-creation"; i.e. that would be another use case ("preparing collab contents for tutorial participants").

in that case, could you create a new wf- package? :)

I believe, @kindler will check if the ESD-provided py-ebrains-drive (and py-hbp-neuromorphic-platform) work (and imho those should work → if they don't we better fix that first) → i.e. this adding a "pip" use case doesn't look time-critical to me.

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merged

Hi @emuller, @kindler,

py-pip has been added to the ESD, and it's now possible to run pip install ... in the experimental kernel in the Lab. However, keep in mind that (as decided in the past) if someone tries to install a package that is already installed as part of the ESD, the ESD version will be used, unless sys.path is fixed manually.