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id ▼ html_url issue_url node_id user created_at updated_at author_association body reactions issue performed_via_github_app
615993178 https://github.com/dogsheep/dogsheep-photos/issues/7#issuecomment-615993178 https://api.github.com/repos/dogsheep/dogsheep-photos/issues/7 MDEyOklzc3VlQ29tbWVudDYxNTk5MzE3OA== simonw 9599 2020-04-19T00:37:08Z 2020-04-19T00:37:08Z MEMBER https://pypi.org/project/ImageHash/ Is one option. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Integrate image content hashing 602585497  
906015471 https://github.com/dogsheep/dogsheep-photos/issues/7#issuecomment-906015471 https://api.github.com/repos/dogsheep/dogsheep-photos/issues/7 IC_kwDOD079W842ALLv dkam 18232 2021-08-26T02:01:01Z 2021-08-26T02:01:01Z NONE Perceptual hashes might be what you're after : http://phash.org {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Integrate image content hashing 602585497  

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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]);