issue_comments
1 row where user = 1059677
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|
500238035 | https://github.com/simonw/datasette/issues/506#issuecomment-500238035 | https://api.github.com/repos/simonw/datasette/issues/506 | MDEyOklzc3VlQ29tbWVudDUwMDIzODAzNQ== | Gagravarr 1059677 | 2019-06-09T19:21:18Z | 2019-06-09T19:21:18Z | NONE | If you don't mind calling out to Java, then Apache Tika is able to tell you what a load of "binary stuff" is, plus render it to XHTML where possible. There's a python wrapper around the Apache Tika server, but for a more typical datasette usecase you'd probably just want to grab the Tika CLI jar, and call it with `--detect` and/or `--xhtml` to process the unknown binary blob | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Option to display binary data 453846217 |
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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]);