issue_comments

Table actions

1 row where "created_at" is on date 2020-10-09 and issue = 712260429 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

issue 1

  • JavaScript plugin hooks mechanism similar to pluggy · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
706413753 https://github.com/simonw/datasette/issues/983#issuecomment-706413753 https://api.github.com/repos/simonw/datasette/issues/983 MDEyOklzc3VlQ29tbWVudDcwNjQxMzc1Mw== yozlet 173848 2020-10-09T21:41:12Z 2020-10-09T21:41:12Z NONE

If you don't mind a somewhat bonkers idea: how about a JS client-side plugin capability that allows any user looking at a Datasette site to pull in external plugins for data manipulation, even if the Datasette owner hasn't added them? (Yes, this may be much too ambitious. If you're remotely interested, maybe fork this discussion to a different issue.)

This is some fascinating reading about what JS sandboxing looks like these days: https://www.figma.com/blog/how-we-built-the-figma-plugin-system/

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 JavaScript plugin hooks mechanism similar to pluggy 712260429  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);