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-1691094870,https://api.github.com/repos/simonw/datasette/issues/2143,1691094870,IC_kwDOBm6k_c5kzA9W,1238873,2023-08-24T06:43:40Z,2023-08-24T06:43:40Z,NONE,"If I may, the ""path-like"" configuration is great but one thing that would be even greater: allowing the same configuration to be provided using environment variables.
For instance:
```
datasette -s plugins.datasette-complex-plugin.configs '{""foo"": [1,2,3], ""bar"": ""baz""}'
```
could also be provided using:
```
export DS_PLUGINS_DATASETTE-COMPLEX-PLUGIN_CONFIGS='{""foo"": [1,2,3], ""bar"": ""baz""}'
datasette
```
(I do not like mixing `-` and `_` in env vars but I do not have a best easily reversible example at the moment)
FYI, you could take some inspiration from another great open source data project, Metabase:
https://www.metabase.com/docs/latest/configuring-metabase/config-file
https://www.metabase.com/docs/latest/configuring-metabase/environment-variables","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1855885427,
https://github.com/simonw/datasette/issues/2143#issuecomment-1690799608,https://api.github.com/repos/simonw/datasette/issues/2143,1690799608,IC_kwDOBm6k_c5kx434,77071,2023-08-24T00:09:47Z,2023-08-24T00:10:41Z,NONE,"@simonw, FWIW, I do exactly the same thing for one of my projects (both to allow multiple configuration files to be passed on the command line and setting individual values) and it works quite well for me and my users. I even use the same parameter name for both (https://studio.zerobrane.com/doc-configuration#configuration-via-command-line), but I understand why you may want to use different ones for files and individual values. There is one small difference that I accept code snippets, but I don't think it matters much in this case.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1855885427,
https://github.com/simonw/datasette/issues/2143#issuecomment-1685263948,https://api.github.com/repos/simonw/datasette/issues/2143,1685263948,IC_kwDOBm6k_c5kcxZM,11784304,2023-08-20T11:50:10Z,2023-08-20T11:50:10Z,NONE,"This also makes it simple to separate out secrets.
`datasette --config settings.yaml --config secrets.yaml --config db-docs.yaml --config db-fixtures.yaml`
settings.yaml
```
settings:
default_page_size: 10
max_returned_rows: 3000
sql_time_limit_ms"": 8000
plugins:
datasette-ripgrep:
path: /usr/local/lib/python3.11/site-packages
```
secrets.yaml
```
plugins:
datasette-auth-github:
client_secret: SUCH_SECRET
```
db-docs.yaml
```
databases:
docs:
permissions:
create-table:
id: editor
```
db-fixtures.yaml
```
databases:
fixtures:
tables:
no_primary_key:
hidden: true
queries:
neighborhood_search:
sql: |-
select neighborhood, facet_cities.name, state
from facetable join facet_cities on facetable.city_id = facet_cities.id
where neighborhood like '%' || :text || '%' order by neighborhood;
title: Search neighborhoods
description_html: |-
This demonstrates basic LIKE search
```","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1855885427,
https://github.com/simonw/datasette/issues/2143#issuecomment-1685260624,https://api.github.com/repos/simonw/datasette/issues/2143,1685260624,IC_kwDOBm6k_c5kcwlQ,11784304,2023-08-20T11:31:16Z,2023-08-20T11:31:16Z,NONE,https://pypi.org/project/deep-chainmap/,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1855885427,
https://github.com/simonw/datasette/issues/2143#issuecomment-1685260244,https://api.github.com/repos/simonw/datasette/issues/2143,1685260244,IC_kwDOBm6k_c5kcwfU,11784304,2023-08-20T11:29:00Z,2023-08-20T11:29:00Z,NONE,https://docs.python.org/3/library/collections.html#collections.ChainMap,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1855885427,
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 `update` on the second level of the dict but better solutions are certainly possible).
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.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1855885427,