issue_comments

Table actions

1 row where issue = 612287234 and reactions = "{"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}" 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

reactions 1 ✖

  • {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} · 1 ✖

issue 1

  • Import machine-learning detected labels (dog, llama etc) from Apple Photos · 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
623807568 https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623807568 https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 MDEyOklzc3VlQ29tbWVudDYyMzgwNzU2OA== simonw 9599 2020-05-05T02:56:06Z 2020-05-05T02:56:06Z MEMBER

I'm pretty sure this is what I'm after. The groups table has what looks like identified labels in the rows with category = 2025:

Then there's a ga table that maps groups to assets:

And an assets table which looks like it has one row for every one of my photos:

One major challenge: these UUIDs are split into two integer numbers, uuid_0 and uuid_1 - but the main photos database uses regular UUIDs like this:

I need to figure out how to match up these two different UUID representations. I asked on Twitter if anyone has any ideas: https://twitter.com/simonw/status/1257500689019703296

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234  

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]);