issue_comments
1 row where "created_at" is on date 2022-09-01 and reactions = "{"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}"
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id ▼ | html_url | issue_url | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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1233680261 | https://github.com/simonw/datasette/issues/1775#issuecomment-1233680261 | https://api.github.com/repos/simonw/datasette/issues/1775 | IC_kwDOBm6k_c5JiHeF | simonw 9599 | 2022-09-01T03:05:57Z | 2022-09-01T03:05:57Z | OWNER | OK, I'm convinced that it's time to start figuring this out. I've done a little bit of this with Django in the past, but Datasette isn't built on Django. It looks to me like the key library for implementing this is Babel: https://babel.pocoo.org/en/latest/ It's been around since 2007 and is very widely used: https://github.com/python-babel/babel/network/dependents?package_id=UGFja2FnZS01MDM0NTU3NQ%3D%3D Also found these hints on getting it to work with Jinja: https://stackoverflow.com/questions/12046998/babel-doesnt-recognize-jinja2-extraction-method-for-language-support | {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | i18n support 1323346408 |
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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, [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] ON [issue_comments] ([user]);
updated_at (date) 1 ✖