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1 row where author_association = "MEMBER", issue = 873842812 and user = 5821660 sorted by updated_at descending

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  • kmuehlbauer · 1 ✖

issue 1

  • Add GitHub action for publishing artifacts to PyPI · 1 ✖

author_association 1

  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
832596969 https://github.com/pydata/xarray/pull/5244#issuecomment-832596969 https://api.github.com/repos/pydata/xarray/issues/5244 MDEyOklzc3VlQ29tbWVudDgzMjU5Njk2OQ== kmuehlbauer 5821660 2021-05-05T10:56:06Z 2021-05-05T10:56:06Z MEMBER

This should be pretty easy if we have separate jobs for building / testing / uploads (where the upload to pypi is skipped unless a release was created)

I've doing this for a while now in one of my projects. Not sure if it will be used much, but users could easily install versions from test.pypi.org and check it. I'm not saying that pip-installing from github is too complex. Another aspect is, that you could even install the package again after upload to check that everything works. But that may be overkill.

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  Add GitHub action for publishing artifacts to PyPI 873842812

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CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);
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