home / github

Menu
  • GraphQL API
  • Search all tables

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where author_association = "CONTRIBUTOR" and issue = 146079798 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

  • dopplershift 1

issue 1

  • modified: xarray/backends/api.py · 1 ✖

author_association 1

  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
388440871 https://github.com/pydata/xarray/pull/817#issuecomment-388440871 https://api.github.com/repos/pydata/xarray/issues/817 MDEyOklzc3VlQ29tbWVudDM4ODQ0MDg3MQ== dopplershift 221526 2018-05-11T18:04:18Z 2018-05-11T18:04:18Z CONTRIBUTOR

Regarding the testing issue, another option is to use something like vcrpy to record and playback http responses for opendap requests. I've had good luck with that for Siphon.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  modified: xarray/backends/api.py 146079798

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,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);
Powered by Datasette · Queries took 13.5ms · About: xarray-datasette