issue_comments
2 rows where author_association = "MEMBER" and reactions = "{"total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}" sorted by author_association
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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 |
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623027889 | https://github.com/dogsheep/github-to-sqlite/issues/38#issuecomment-623027889 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/38 | MDEyOklzc3VlQ29tbWVudDYyMzAyNzg4OQ== | simonw 9599 | 2020-05-02T23:15:11Z | 2020-05-02T23:15:11Z | MEMBER | This is one of the use-cases for the `repos_starred` view: it allows you to easily run this kid of query without having to construct the SQL by hand. Here's a demo: https://github-to-sqlite.dogsheep.net/github/repos_starred?name__contains=twitter My philosophy here is to keep the raw tables (like `stars`) as normalized as possible, then use SQL views which expose the data in a form that's easier to query. | {"total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | [Feature Request] Support Repo Name in Search 🥺 611284481 | |
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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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]);
reactions 1 ✖