issue_comments: 1685259985
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| 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/2143#issuecomment-1685259985 | https://api.github.com/repos/simonw/datasette/issues/2143 | 1685259985 | IC_kwDOBm6k_c5kcwbR | 11784304 | 2023-08-20T11:27:21Z | 2023-08-20T11:27:21Z | NONE | To chime in from a poweruser perspective: I'm worried that this is an overengineering trap. Yes, the current solution is somewhat messy. But there are datasette-wide settings, there are database-scope settings, there are table-scope settings etc, but then there are database-scope metadata and table-scope metadata. Trying to cleanly separate "settings" from "configuration" is, I believe, an uphill fight. Even separating db/table-scope settings from pure descriptive metadata is not always easy. Like, do canned queries belong to database metadata or to settings? Do I need two separate files for this? One pragmatic solution I used in a project is stacking yaml configuration files. Basically, have an arbitrary number of yaml or json settings files that you load in a specified order. Every file adds to the corresponding settings in the earlier-loaded file (if it already existed). I implemented this myself but found later that there is an existing Python "cascading dict" type of thing, I forget what it's called. There is a bit of a challenge deciding whether there is "replacement" or "addition" (I think I pragmatically ran This way, one allows separation of settings into different blocks, while not imposing a specific idea of what belongs where that might not apply equally to all cases. |
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