issue_comments
2 rows where author_association = "NONE" and user = 2680980 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
user 1
- willingc · 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. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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:
|
{ "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
upgrade to uvicorn-0.9 to be Python-3.8 friendly 506297048 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);
issue 2