id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,pull_request,body,repo,type,active_lock_reason,performed_via_github_app,reactions,draft,state_reason
1930008379,I_kwDOBm6k_c5zCZc7,2197,click-default-group-wheel dependency conflict,1176293,closed,0,,,3,2023-10-06T11:49:20Z,2023-10-12T21:53:17Z,2023-10-12T21:53:17Z,NONE,,"I upgraded my dependencies, then ran into this problem running `datasette inspect`:

> env/lib/python3.9/site-packages/datasette/cli.py"", line 6, in <module>
>     from click_default_group import DefaultGroup
> ModuleNotFoundError: No module named 'click_default_group'

Turns out the released version of datasette still depends on `click-default-group-wheel`, so `click-default-group` doesn't get installed/recognized:

```
$ virtualenv venv
$ source venv/bin/activate
$ pip install datasette
$ pip list | grep click-default-group
click-default-group       1.2.4
click-default-group-wheel 1.2.3
$ python -c ""from click_default_group import DefaultGroup""
Traceback (most recent call last):
  File ""<string>"", line 1, in <module>
ModuleNotFoundError: No module named 'click_default_group'
$ pip install --force-reinstall click-default-group
...
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed.
This behaviour is the source of the following dependency conflicts.
datasette 0.64.4 requires click-default-group-wheel>=1.2.2, which is not installed.
Successfully installed click-8.1.7 click-default-group-1.2.4
```",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/2197/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
1266207143,I_kwDOBm6k_c5LeMmn,1755,Gunicorn,1176293,open,0,,,0,2022-06-09T14:18:46Z,2022-06-09T14:18:46Z,,NONE,,"I've read issue #514 which resulted in running Datasette via systemd as recommended approach. We've also adopted this (for now), but I notice that Uvicorn [says the following](https://www.uvicorn.org/#running-with-gunicorn):

> Uvicorn includes a Gunicorn worker class allowing you to run ASGI applications, with all of Uvicorn's performance benefits, while also giving you Gunicorn's fully-featured process management.
> 
> This allows you to increase or decrease the number of worker processes on the fly, restart worker processes gracefully, or perform server upgrades without downtime.
> 
> For production deployments we recommend using gunicorn with the uvicorn worker class.

We usually deploy Python applications via Gunicorn for these process management features (e.g. `--daemon` and `--pid`). Is this something that would/could work with Datasette as well?",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1755/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,