issue_comments: 722056576
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| 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/sqlite-utils/issues/196#issuecomment-722056576 | https://api.github.com/repos/simonw/sqlite-utils/issues/196 | 722056576 | MDEyOklzc3VlQ29tbWVudDcyMjA1NjU3Ng== | 9599 | 2020-11-05T00:52:42Z | 2020-11-05T00:52:42Z | OWNER | I could use a parsing library like https://parsy.readthedocs.io/en/latest/tutorial.html for this - or `pyparsing` which has a SQLite example here: https://github.com/pyparsing/pyparsing/blob/master/examples/select_parser.py I'd rather not add a new dependency for this though so I'm going to see if I can get something that's good-enough just using a regular expression. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 736520310 |