issue_comments

Table actions

2 rows where issue = 492308942 and user = 2448579 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

  • dcherian · 2 ✖

issue 1

  • ignore h5py 2.10.0 warnings and fix invalid_netcdf warning test. · 2 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
531286823 https://github.com/pydata/xarray/pull/3301#issuecomment-531286823 https://api.github.com/repos/pydata/xarray/issues/3301 MDEyOklzc3VlQ29tbWVudDUzMTI4NjgyMw== dcherian 2448579 2019-09-13T15:38:13Z 2019-09-13T15:38:13Z MEMBER

I think so. We are testing that there are a specific number of warnings with a specified message. I couldn't find any pytest functionality that makes writing that test easier so I implemented it manually.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   ignore h5py 2.10.0 warnings and fix invalid_netcdf warning test. 492308942
530878984 https://github.com/pydata/xarray/pull/3301#issuecomment-530878984 https://api.github.com/repos/pydata/xarray/issues/3301 MDEyOklzc3VlQ29tbWVudDUzMDg3ODk4NA== dcherian 2448579 2019-09-12T15:28:10Z 2019-09-12T15:28:10Z MEMBER

:man_facepalming: now failure is #3303 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   ignore h5py 2.10.0 warnings and fix invalid_netcdf warning test. 492308942

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]);