github
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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602533481 | MDU6SXNzdWU2MDI1MzM0ODE= | 3 | Import EXIF data into SQLite - lens used, ISO, aperture etc | 9599 | open | 0 | 5324096 | 2 | 2020-04-18T19:24:31Z | 2021-10-05T12:38:24Z | MEMBER | 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 | 9599 | open | 0 | 3 | 2021-07-25T03:35:27Z | 2021-07-25T18:41:17Z | MEMBER | The `trees` command currently has to make a request for every single comment. Algolia have an endpoint that bundles the entire thread together into a single request. `https://hn.algolia.com/api/v1/items/ID` 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! ``` wget 'https://hn.algolia.com/api/v1/items/25015967' 0.03s user 0.04s system 0% cpu 41.368 total /tmp % ls -lah 25015967 -rw-r--r-- 1 simon wheel 3.7M Jul 24 20:31 25015967 ``` | 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 | 231498 | open | 0 | 0 | 2020-12-17T01:18:48Z | 2020-12-17T01:19:04Z | NONE | ``` $ google-takeout-to-sqlite my-activity takeout.db /path/to/zip ... sqlite3.OperationalError: no such table: main.my_activity ``` there is no table create in `utils.py`, unlike other importers such as github-to-sqlite additionally, this package and hackernews-to-sqlite have conflicting `sqlite-utils` dep with datasette and dogsheep-beta | 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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503243784 | MDU6SXNzdWU1MDMyNDM3ODQ= | 3 | Extract images into separate tables | 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 `image` and `images`. <img width="1522" alt="memory__items" src="https://user-images.githubusercontent.com/9599/66287418-9ab20680-e88a-11e9-96bf-6c80d881eff0.png"> | 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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267515678 | MDU6SXNzdWUyNjc1MTU2Nzg= | 3 | Make individual column valuables addressable, with smart content types | 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. /database-name-7sha256/table-name/compound-pk/column /database-name-7sha256/table-name/compound-pk/column.json /database-name-7sha256/table-name/compound-pk/column.png /database-name-7sha256/table-name/compound-pk/column.gif /database-name-7sha256/table-name/compound-pk/column.txt The one without an explicit file extension auto-detects the correct extension. | 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 } |