Why not in pypi?
gijzelaerr opened this issue · 10 comments
Why is cubical not in pypi? makes it easier to install.
I've taken the liberty to upload the latest version, but that fails:
HTTPError: 400 Bad Request from https://upload.pypi.org/legacy/
Invalid value for requires_dist. Error: Can't have direct dependency: "montblanc @ git+https://github.com/ska-sa/montblanc.git@0.6.1 ; extra == 'lsm-support'"
Montblanc is actually on pypi, but not version 0.6.1. Any reason why 0.6.1 specifically is required, or can we just upgrade.
Tender triggering tremours of tensorflow here, or maybe I've had too much coffee.
that caused by an optional dependency on Montblanc, but that doesn't mean it can't be uploaded to pypi.
made a little pr:
and uploaded it also:
There used to be more reasons why we weren't on PyPI - Montblanc is the final sticking point. It is technically end of life now, but if @sjperkins is feeling charitable, maybe he can help us out.
@gijzelaerr Could you please make me a maintainer of CubiCal on PyPI? Unless you are ok with me prodding you to do version uploads.
I guess we could automate it to happen on release, though I have never done that.
That is quite trivial to do. All you need is to store the secret token in github secrets and add a github action
e.g.
https://github.com/ska-sa/meqtrees-cattery/blob/master/.github/workflows/python-publish.yml
what is your pypi username
JSKenyon
Thanks! Accepted.
I believe this is resolved since