{"id": 817989436, "node_id": "MDU6SXNzdWU4MTc5ODk0MzY=", "number": 242, "title": "Async support", "user": {"value": 25778, "label": "eyeseast"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 13, "created_at": "2021-02-27T18:29:38Z", "updated_at": "2021-10-28T14:37:56Z", "closed_at": null, "author_association": "CONTRIBUTOR", "pull_request": null, "body": "Following our conversation last week, want to note this here before I forget.\r\n\r\nI've had a couple situations where I'd like to do a bunch of updates in an async event loop, but I run into SQLite's issues with concurrent writes. This feels like something sqlite-utils could help with.\r\n\r\nPeeWee ORM has a [SQLite write queue](http://docs.peewee-orm.com/en/latest/peewee/playhouse.html#sqliteq) that might be a good model. It's using threads or gevent, but I _think_ that approach would translate well enough to asyncio. \r\n\r\nHappy to help with this, too.", "repo": {"value": 140912432, "label": "sqlite-utils"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/simonw/sqlite-utils/issues/242/reactions\", \"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}
{"id": 1400374908, "node_id": "I_kwDOBm6k_c5TeAZ8", "number": 1836, "title": "docker image is duplicating db files somehow", "user": {"value": 536941, "label": "fgregg"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 13, "created_at": "2022-10-06T22:35:54Z", "updated_at": "2022-10-08T16:56:51Z", "closed_at": null, "author_association": "CONTRIBUTOR", "pull_request": null, "body": "if you look into the docker image created by docker publish, the `datasette inspect` line is duplicating the db files.\r\n\r\nhere's the result of the inspect command:\r\n\r\n<img width=\"490\" alt=\"Screen Shot 2022-10-06 at 2 58 08 PM\" src=\"https://user-images.githubusercontent.com/536941/194430909-9303ee1a-9bdd-4212-b54b-de28f43768d4.png\">\r\n\r\n", "repo": {"value": 107914493, "label": "datasette"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/simonw/datasette/issues/1836/reactions\", \"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}
{"id": 612287234, "node_id": "MDU6SXNzdWU2MTIyODcyMzQ=", "number": 16, "title": "Import machine-learning detected labels (dog, llama etc) from Apple Photos", "user": {"value": 9599, "label": "simonw"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 13, "created_at": "2020-05-05T02:45:43Z", "updated_at": "2020-05-05T05:38:16Z", "closed_at": null, "author_association": "MEMBER", "pull_request": null, "body": "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.", "repo": {"value": 256834907, "label": "dogsheep-photos"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"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}", "draft": null, "state_reason": null}
{"id": 456578474, "node_id": "MDU6SXNzdWU0NTY1Nzg0NzQ=", "number": 511, "title": "Get Datasette tests passing on Windows in GitHub Actions", "user": {"value": 9599, "label": "simonw"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 13, "created_at": "2019-06-15T21:41:58Z", "updated_at": "2021-07-11T17:23:05Z", "closed_at": null, "author_association": "OWNER", "pull_request": null, "body": "This should almost happen as a side-effect or moving from Sanic to Uvicorn during the port to ASGI: #272 \r\n\r\nAdditional steps:\r\n\r\n- test it manually\r\n- update documentation\r\n- set up some form of Windows CI\r\n", "repo": {"value": 107914493, "label": "datasette"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/simonw/datasette/issues/511/reactions\", \"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}
{"id": 749283032, "node_id": "MDU6SXNzdWU3NDkyODMwMzI=", "number": 1101, "title": "register_output_renderer() should support streaming data", "user": {"value": 9599, "label": "simonw"}, "state": "open", "locked": 0, "assignee": null, "milestone": {"value": 3268330, "label": "Datasette 1.0"}, "comments": 13, "created_at": "2020-11-24T02:17:09Z", "updated_at": "2023-01-21T22:07:19Z", "closed_at": null, "author_association": "OWNER", "pull_request": null, "body": "> I'd like to implement this by first extending the `register_output_renderer()` hook to support streaming huge responses, then switching CSV to use the plugin hook in addition to TSV using it.\r\n\r\n_Originally posted by @simonw in https://github.com/simonw/datasette/issues/1096#issuecomment-732542285_", "repo": {"value": 107914493, "label": "datasette"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/simonw/datasette/issues/1101/reactions\", \"total_count\": 1, \"+1\": 1, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}
{"id": 1160182768, "node_id": "I_kwDOCGYnMM5FJvvw", "number": 412, "title": "Optional Pandas integration", "user": {"value": 9599, "label": "simonw"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 13, "created_at": "2022-03-05T01:49:27Z", "updated_at": "2022-06-14T15:36:29Z", "closed_at": null, "author_association": "OWNER", "pull_request": null, "body": "It would be neat if there was a way to use this more seamlessly with Pandas, in particular Pandas dataframes - but without making Pandas a required dependency.", "repo": {"value": 140912432, "label": "sqlite-utils"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/simonw/sqlite-utils/issues/412/reactions\", \"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}
{"id": 1447050738, "node_id": "I_kwDOBm6k_c5WQD3y", "number": 1886, "title": "Call for birthday presents: if you're using Datasette, let us know how you're using it here", "user": {"value": 9599, "label": "simonw"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 13, "created_at": "2022-11-13T19:25:51Z", "updated_at": "2022-12-18T17:34:20Z", "closed_at": null, "author_association": "OWNER", "pull_request": null, "body": "Datasette is 5 years old today. To celebrate, I'm asking the community for birthday presents:\r\n\r\nhttps://simonwillison.net/2022/Nov/13/datasette-birthday/\r\n\r\n> To celebrate this open source project\u2019s birthday, I\u2019ve decided to try something new: I\u2019m going to ask for birthday presents.\r\n> \r\n> An aspect of Datastte\u2019s marketing that I\u2019ve so far neglected is social proof. I think it\u2019s time to change that: I know people are using the software to do cool things, but this often happens behind closed doors.\r\n> \r\n> For Datastte\u2019s birthday, I\u2019m looking for endorsements and case studies and just general demonstrations that show how people are using it do so cool stuff.\r\n> \r\n> So: if you\u2019ve used Datasette to solve a problem, and you\u2019re willing to publicize it, please give us the gift of your endorsement!\r\n> \r\n> [...]\r\n> \r\n> Add a comment to [this issue thread](https://github.com/simonw/datasette/issues/1886) describing what you\u2019re doing. Just a few sentences is fine\u2014though a screenshot or even a link to a live instance would be even better", "repo": {"value": 107914493, "label": "datasette"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/simonw/datasette/issues/1886/reactions\", \"total_count\": 2, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 2, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}
{"id": 1657861026, "node_id": "I_kwDOBm6k_c5i0POi", "number": 2054, "title": "Make detailed notes on how table, query and row views work right now", "user": {"value": 9599, "label": "simonw"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 13, "created_at": "2023-04-06T18:21:09Z", "updated_at": "2023-04-07T20:14:38Z", "closed_at": null, "author_association": "OWNER", "pull_request": null, "body": "Research to help influence the following:\r\n- #2049 \r\n- #2053 \r\n- #2050 \r\n- #262 ", "repo": {"value": 107914493, "label": "datasette"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/simonw/datasette/issues/2054/reactions\", \"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}