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

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user 1

reactions 1 ✖

  • {"total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 1, "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
623846880 https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623846880 https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 MDEyOklzc3VlQ29tbWVudDYyMzg0Njg4MA== simonw 9599 2020-05-05T04:06:08Z 2020-05-05T04:06:08Z MEMBER

This function seems to convert them into UUIDs that match my photos: python def to_uuid(uuid_0, uuid_1): b = uuid_0.to_bytes(8, 'little', signed=True) + uuid_1.to_bytes(8, 'little', signed=True) return str(uuid.UUID(bytes=b)).upper()

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

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   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
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   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
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