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2 rows where author_association = "NONE" and user = 2680980 sorted by updated_at descending

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  • willingc · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
552737357 https://github.com/simonw/datasette/pull/627#issuecomment-552737357 https://api.github.com/repos/simonw/datasette/issues/627 MDEyOklzc3VlQ29tbWVudDU1MjczNzM1Nw== willingc 2680980 2019-11-12T05:13:46Z 2019-11-12T05:13:46Z NONE

Thanks @simonw. I appreciate your work on this.

 
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 Support Python 3.8, stop supporting Python 3.5 521323012  
547373739 https://github.com/simonw/datasette/issues/594#issuecomment-547373739 https://api.github.com/repos/simonw/datasette/issues/594 MDEyOklzc3VlQ29tbWVudDU0NzM3MzczOQ== willingc 2680980 2019-10-29T11:21:52Z 2019-10-29T11:21:52Z NONE

Just an FYI for folks wishing to run datasette with Python 3.8, I was able to successfully use datasette with the following in a virtual environment:

pip install uvloop==0.14.0rc1 pip install uvicorn==0.9.1

 
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 upgrade to uvicorn-0.9 to be Python-3.8 friendly 506297048  

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   [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,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
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