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8 rows where number = 16 sorted by updated_at descending
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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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1943259395 | I_kwDOEhK-wc5z08kD | 16 | time data '2014-11-21T11:44:12.000Z' does not match format '%Y%m%dT%H%M%SZ' | linonetwo 3746270 | open | 0 | 0 | 2023-10-14T13:24:39Z | 2023-10-14T13:24:39Z | NONE |
enex is exported by evernote mac client |
evernote-to-sqlite 303218369 | issue | { "url": "https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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830901133 | MDExOlB1bGxSZXF1ZXN0NTkyMzY0MjU1 | 16 | Add a fallback ID, print if no ID found | n8henrie 1234956 | open | 0 | 0 | 2021-03-13T13:38:29Z | 2021-03-13T14:44:04Z | FIRST_TIME_CONTRIBUTOR | dogsheep/healthkit-to-sqlite/pulls/16 | healthkit-to-sqlite 197882382 | pull | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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694493566 | MDU6SXNzdWU2OTQ0OTM1NjY= | 16 | Timeline view | simonw 9599 | open | 0 | 3 | 2020-09-06T19:13:58Z | 2020-09-21T02:42:29Z | MEMBER | Ability to browse (and facet) by date. |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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612287234 | MDU6SXNzdWU2MTIyODcyMzQ= | 16 | Import machine-learning detected labels (dog, llama etc) from Apple Photos | simonw 9599 | open | 0 | 13 | 2020-05-05T02:45:43Z | 2020-05-05T05:38:16Z | MEMBER | Follow-on from #1. Apple Photos runs some very sophisticated machine learning on-device to figure out if photos are of dogs, llamas and so on. I really want to extract those labels out into my own database. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16/reactions", "total_count": 2, "+1": 0, "-1": 0, "laugh": 1, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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546051181 | MDU6SXNzdWU1NDYwNTExODE= | 16 | Exception running first command: IndexError: list index out of range | jayvdb 15092 | closed | 0 | 4 | 2020-01-07T03:01:58Z | 2020-04-14T18:37:21Z | 2020-04-14T18:37:21Z | NONE | Exception running first command without an existing db or auth. ```py
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github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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505673645 | MDU6SXNzdWU1MDU2NzM2NDU= | 16 | Do a better job with archived direct message threads | simonw 9599 | open | 0 | 0 | 2019-10-11T06:55:21Z | 2019-10-11T06:55:27Z | MEMBER | twitter-to-sqlite 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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413867537 | MDU6SXNzdWU0MTM4Njc1Mzc= | 16 | add_column() should support REFERENCES {other_table}({other_column}) | simonw 9599 | closed | 0 | 4 | 2019-02-24T21:00:45Z | 2019-05-29T05:17:59Z | 2019-05-29T04:56:18Z | OWNER | Related to #2 |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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267726219 | MDU6SXNzdWUyNjc3MjYyMTk= | 16 | Default HTML/CSS needs to look reasonable and be responsive | simonw 9599 | closed | 0 | Ship first public release 2857392 | 6 | 2017-10-23T16:05:22Z | 2017-11-11T20:19:07Z | 2017-11-11T20:19:07Z | OWNER | Version one should have the following characteristics:
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datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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CREATE TABLE [issues] ( [id] INTEGER PRIMARY KEY, [node_id] TEXT, [number] INTEGER, [title] TEXT, [user] INTEGER REFERENCES [users]([id]), [state] TEXT, [locked] INTEGER, [assignee] INTEGER REFERENCES [users]([id]), [milestone] INTEGER REFERENCES [milestones]([id]), [comments] INTEGER, [created_at] TEXT, [updated_at] TEXT, [closed_at] TEXT, [author_association] TEXT, [pull_request] TEXT, [body] TEXT, [repo] INTEGER REFERENCES [repos]([id]), [type] TEXT , [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] TEXT); CREATE INDEX [idx_issues_repo] ON [issues] ([repo]); CREATE INDEX [idx_issues_milestone] ON [issues] ([milestone]); CREATE INDEX [idx_issues_assignee] ON [issues] ([assignee]); CREATE INDEX [idx_issues_user] ON [issues] ([user]);