issue_comments: 1279924827
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/1845#issuecomment-1279924827 | https://api.github.com/repos/simonw/datasette/issues/1845 | 1279924827 | IC_kwDOBm6k_c5MShpb | 30636 | 2022-10-16T08:54:53Z | 2022-10-16T08:54:53Z | NONE | > It was part of a larger idea I was exploring around ensuring Datasette could be used to start interacting with CSV/JSON data out-of-the-box, without needing to first convert that data into SQLite using separate tools. This would be great. My organization deals with very nested JSON open data and I have been wanting to find a way to hook into datasette so that the analysts do not have to first convert to sqlite first. This can kind of be done with datasette-lite. From this random nested JSON API: https://api.nobelprize.org/v1/prize.json You can use the API of https://flatterer.herokuapp.com to return a multi table sqlite database: https://lite.datasette.io/?url=https://flatterer.herokuapp.com/api/convert?output_format=sqlite%26file_url=https://api.nobelprize.org/v1/prize.json This is great and fun, but it would be great if there was some plugin mechanism that you could feed a local datasette a nested JSON file directly, possibly hooking into other flattening tools for this. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1410305897 |