html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app
https://github.com/simonw/datasette/issues/1509#issuecomment-970544733,https://api.github.com/repos/simonw/datasette/issues/1509,970544733,IC_kwDOBm6k_c452VZd,9599,simonw,2021-11-16T18:22:32Z,2021-11-16T18:22:32Z,OWNER,"This is mainly happening here:
- https://github.com/simonw/datasette/issues/782","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1054243511,Datasette 1.0 JSON API (and documentation),
https://github.com/simonw/datasette/issues/1509#issuecomment-1068444767,https://api.github.com/repos/simonw/datasette/issues/1509,1068444767,IC_kwDOBm6k_c4_ryxf,9599,simonw,2022-03-15T20:37:03Z,2022-03-15T20:37:03Z,OWNER,"Idea: I could add Pydantic https://pydantic-docs.helpmanual.io/usage/schema/ as an optional test dependency and use it to generate JSON schemas and run validation against examples in the API documentation.

Maybe generate API documentation from it too?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1054243511,Datasette 1.0 JSON API (and documentation),
https://github.com/simonw/datasette/issues/1509#issuecomment-1068445412,https://api.github.com/repos/simonw/datasette/issues/1509,1068445412,IC_kwDOBm6k_c4_ry7k,9599,simonw,2022-03-15T20:37:50Z,2022-03-15T20:38:56Z,OWNER,"... maybe Datasette itself should include interactive API documentation, in addition to documenting it in the manual?

`/dbname/table/-/apidocs` could return documentation about the specific table, taking into account columns and types.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1054243511,Datasette 1.0 JSON API (and documentation),