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1 row where author_association = "CONTRIBUTOR" and issue = 870292042 sorted by updated_at descending

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  • dopplershift 1

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  • release v0.18.0 · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
830254596 https://github.com/pydata/xarray/issues/5232#issuecomment-830254596 https://api.github.com/repos/pydata/xarray/issues/5232 MDEyOklzc3VlQ29tbWVudDgzMDI1NDU5Ng== dopplershift 221526 2021-04-30T17:42:09Z 2021-04-30T17:42:09Z CONTRIBUTOR

We can avoid this by using the pypi github action thing to automatically build and upload when tagging a release on github. It uses a repo-level secret. Just a thought.

$0.02 from an outsider is that this has served us exceedingly well on MetPy. Our release process has become: 1. Close milestone 2. Adjust the auto-generated draft GitHub release (summary notes) 3. Click "publish release" -> packages uploaded to PyPI 4. Merge conda-forge update from their bots

It's almost more secure this way because the token from PyPI only has upload permissions--no need to store someone's password.

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  release v0.18.0 870292042

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