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2 rows where "updated_at" is on date 2020-05-05 and user = 41546558 sorted by updated_at descending

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issue 2

  • Import machine-learning detected labels (dog, llama etc) from Apple Photos 1
  • Only install osxphotos if running on macOS 1

user 1

  • RhetTbull · 2 ✖

author_association 1

  • CONTRIBUTOR 2
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
624284539 https://github.com/dogsheep/dogsheep-photos/issues/17#issuecomment-624284539 https://api.github.com/repos/dogsheep/dogsheep-photos/issues/17 MDEyOklzc3VlQ29tbWVudDYyNDI4NDUzOQ== RhetTbull 41546558 2020-05-05T20:20:05Z 2020-05-05T20:20:05Z CONTRIBUTOR

FYI, I've got an issue to make osxphotos cross-platform but it's low on my priority list. About 90% of the functionality could be done cross-platform but right now the MacOS specific stuff is embedded throughout and would take some work. Though I try to minimize it, there's sprinklings of ObjC & Applescript throughout osxphotos.

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Only install osxphotos if running on macOS 612860531  
623845014 https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623845014 https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 MDEyOklzc3VlQ29tbWVudDYyMzg0NTAxNA== RhetTbull 41546558 2020-05-05T03:55:14Z 2020-05-05T03:56:24Z CONTRIBUTOR

I'm traveling w/o access to my Mac so can't help with any code right now. I suspected ZSCENEIDENTIFIER was a foreign key into one of these psi.sqlite tables. But looks like you're on to something connecting groups to assets. As for the UUID, I think there's two ints because each is 64-bits but UUIDs are 128-bits. Thus they need to be combined to get the 128 bit UUID. You might be able to use Apple's NSUUID, for example, by wrapping with pyObjC. Here's one example of using this in PyObjC's test suite. Interesting it's stored this way instead of a UUIDString as in Photos.sqlite. Perhaps it for faster indexing.

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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234  

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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,
   [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]);
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