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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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1616422013 | I_kwDOJHON9s5gWKR9 | 3 | `apple-notes-to-sqlite --dump` option | simonw 9599 | closed | 0 | 0 | 2023-03-09T05:05:49Z | 2023-03-09T05:06:14Z | 2023-03-09T05:06:14Z | MEMBER | Option that doesn't write to the database at all, it just outputs all the notes to stdout as newline-delimited JSON. |
apple-notes-to-sqlite 611552758 | issue | { "url": "https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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602533481 | MDU6SXNzdWU2MDI1MzM0ODE= | 3 | Import EXIF data into SQLite - lens used, ISO, aperture etc | simonw 9599 | open | 0 | Apple Photos online and securely browsable 5324096 | 2 | 2020-04-18T19:24:31Z | 2021-10-05T12:38:24Z | MEMBER | dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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952189173 | MDU6SXNzdWU5NTIxODkxNzM= | 3 | Use HN algolia endpoint to retrieve trees | simonw 9599 | open | 0 | 3 | 2021-07-25T03:35:27Z | 2021-07-25T18:41:17Z | MEMBER | The
Here's an example that loads quickly, with about 50 comments: https://hn.algolia.com/api/v1/items/27941108 It doesn't appear to use pagination at all - if a thread is big then the response is big. I ran this search to find some stories with more than 1000 comments: https://hn.algolia.com/api/v1/search?tags=story&numericFilters=num_comments%3E=1000 Here's one: https://news.ycombinator.com/item?id=25015967 with 4759 comments. Hitting the API takes 41s and returns 3.7 MB of JSON!
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hacker-news-to-sqlite 248903544 | issue | { "url": "https://api.github.com/repos/dogsheep/hacker-news-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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769397742 | MDU6SXNzdWU3NjkzOTc3NDI= | 3 | sqlite-utils error on takeout import | khimaros 231498 | open | 0 | 0 | 2020-12-17T01:18:48Z | 2020-12-17T01:19:04Z | NONE |
there is no table create in additionally, this package and hackernews-to-sqlite have conflicting |
google-takeout-to-sqlite 206649770 | issue | { "url": "https://api.github.com/repos/dogsheep/google-takeout-to-sqlite/issues/3/reactions", "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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543717994 | MDExOlB1bGxSZXF1ZXN0MzU3OTc0MzI2 | 3 | Add todoist-to-sqlite | bcongdon 706257 | closed | 0 | 0 | 2019-12-30T04:02:59Z | 2020-10-12T00:35:58Z | 2020-10-12T00:35:57Z | CONTRIBUTOR | dogsheep/dogsheep.github.io/pulls/3 | Really enjoying getting into the dogsheep/datasette ecosystem. I made a downloader for Todoist, and I think/hope others might find this useful |
dogsheep.github.io 214746582 | pull | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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718938321 | MDU6SXNzdWU3MTg5MzgzMjE= | 3 | Use a content hash for the note IDs | simonw 9599 | closed | 0 | 0 | 2020-10-11T22:13:46Z | 2020-10-11T23:15:04Z | 2020-10-11T23:15:04Z | MEMBER | Without a GUID note IDs are pretty ineffective, but using a hash of the contents will at least avoid creating identical duplicates in the future. |
evernote-to-sqlite 303218369 | issue | { "url": "https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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689810340 | MDU6SXNzdWU2ODk4MTAzNDA= | 3 | Datasette plugin to provide custom page for running faceted, ranked searches | simonw 9599 | closed | 0 | 3 | 2020-09-01T05:00:22Z | 2020-09-03T21:01:41Z | 2020-09-03T21:01:41Z | MEMBER | This will be a page at It will offer a default timeline view plus search and facet by type/date. |
dogsheep-beta 197431109 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-beta/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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503243784 | MDU6SXNzdWU1MDMyNDM3ODQ= | 3 | Extract images into separate tables | simonw 9599 | open | 0 | 1 | 2019-10-07T05:43:01Z | 2020-09-01T06:17:45Z | MEMBER | As already done with authors. Slightly harder because images do not have a universally unique ID. Also need to figure out what to do about there being columns for both |
pocket-to-sqlite 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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488833975 | MDU6SXNzdWU0ODg4MzM5NzU= | 3 | Command for running a search and saving tweets for that search | simonw 9599 | closed | 0 | 6 | 2019-09-03T21:29:56Z | 2019-11-04T05:31:56Z | 2019-11-04T05:31:16Z | MEMBER |
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twitter-to-sqlite 206156866 | issue | { "url": "https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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487600595 | MDU6SXNzdWU0ODc2MDA1OTU= | 3 | Option to fetch only checkins more recent than the current max checkin | simonw 9599 | closed | 0 | 4 | 2019-08-30T17:46:45Z | 2019-10-16T20:41:23Z | 2019-10-16T20:39:59Z | MEMBER | The Foursquare checkins API supports "return every checkin occurring after this point" - I can pass it the maximum createdAt date currently stored in the database. This will allow for quick incremental fetches via a cron. |
swarm-to-sqlite 205429375 | issue | { "url": "https://api.github.com/repos/dogsheep/swarm-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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493670426 | MDU6SXNzdWU0OTM2NzA0MjY= | 3 | Command to fetch all repos belonging to a user or organization | simonw 9599 | closed | 0 | 2 | 2019-09-14T21:54:21Z | 2019-09-17T00:17:53Z | 2019-09-17T00:17:53Z | MEMBER | How about this:
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github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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351845423 | MDU6SXNzdWUzNTE4NDU0MjM= | 3 | Experiment with contentless FTS tables | simonw 9599 | closed | 0 | 1 | 2018-08-18T19:31:01Z | 2019-07-22T20:58:55Z | 2019-07-22T20:58:55Z | OWNER | Could greatly reduce size of resulting database for large datasets: http://cocoamine.net/blog/2015/09/07/contentless-fts4-for-large-immutable-documents/ |
sqlite-utils 140912432 | issue | { "url": "https://api.github.com/repos/simonw/sqlite-utils/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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470637206 | MDU6SXNzdWU0NzA2MzcyMDY= | 3 | Import ActivitySummary | simonw 9599 | closed | 0 | 0 | 2019-07-20T05:21:00Z | 2019-07-20T05:58:07Z | 2019-07-20T05:58:07Z | MEMBER | From #1
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healthkit-to-sqlite 197882382 | issue | { "url": "https://api.github.com/repos/dogsheep/healthkit-to-sqlite/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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267515678 | MDU6SXNzdWUyNjc1MTU2Nzg= | 3 | Make individual column valuables addressable, with smart content types | simonw 9599 | open | 0 | 1 | 2017-10-23T01:11:32Z | 2017-12-10T03:11:58Z | OWNER | Some SQLite databases embed images in columns. It would be cool if these had URLs.
The one without an explicit file extension auto-detects the correct extension. |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/3/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]);