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id ▼ | html_url | issue_url | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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970544733 | https://github.com/simonw/datasette/issues/1509#issuecomment-970544733 | https://api.github.com/repos/simonw/datasette/issues/1509 | IC_kwDOBm6k_c452VZd | simonw 9599 | 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} | Datasette 1.0 JSON API (and documentation) 1054243511 | |
1068444767 | https://github.com/simonw/datasette/issues/1509#issuecomment-1068444767 | https://api.github.com/repos/simonw/datasette/issues/1509 | IC_kwDOBm6k_c4_ryxf | simonw 9599 | 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} | Datasette 1.0 JSON API (and documentation) 1054243511 | |
1068445412 | https://github.com/simonw/datasette/issues/1509#issuecomment-1068445412 | https://api.github.com/repos/simonw/datasette/issues/1509 | IC_kwDOBm6k_c4_ry7k | simonw 9599 | 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} | Datasette 1.0 JSON API (and documentation) 1054243511 |
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