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1 row where author_association = "MEMBER", issue = 1642317716 and user = 35968931 sorted by updated_at descending

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user 1

  • TomNicholas · 1 ✖

issue 1

  • Add welcome bot? · 1 ✖

author_association 1

  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1487975336 https://github.com/pydata/xarray/issues/7685#issuecomment-1487975336 https://api.github.com/repos/pydata/xarray/issues/7685 IC_kwDOAMm_X85YsLOo TomNicholas 35968931 2023-03-29T05:38:20Z 2023-03-29T05:38:20Z MEMBER

Good idea @dcherian

Could you specifiy what kind of function you would like the bot to perform?

When a github user creates their first ever issue or pull request on the xarray repository, the bot would reply to them welcoming them with a friendly message, thanking them for their interest, and point them towards useful links like contributing guidelines and contact channels.

{
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    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Add welcome bot? 1642317716

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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,
   [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]);
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