issue_comments: 1233680261
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/1775#issuecomment-1233680261 | https://api.github.com/repos/simonw/datasette/issues/1775 | 1233680261 | IC_kwDOBm6k_c5JiHeF | 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} | 1323346408 |