Werkzeug VS quart

The angle brackets on their own should be a sign that this is not the case, because that's not regular expression syntax. Flask uses werkzeug.routing instead. In fact, the module docs specifically call out the difference:

Flask doesn’t support ASGI; neither does Werkzeug. The official guidance for running Flask with an ASGI server is to wrap it in middleware. The open GitHub issue for Werkzeug to support ASGI is #1322.

But this may be a starting point: https://github.com/pallets/werkzeug/blob/main/src/werkzeug/middleware/http_proxy.py

> In this case, he initially presumed that the problem would be with Flask, Bottle, and Tornado still honoring a semi-colon as a separator in a uri

Flask (or rather Werkzeug what it's based on) removed implicit semicolon support for URL 13 years ago: https://github.com/pallets/werkzeug/commit/0ea28bbc6f5f05eef...

Werkzeug (library used by Flask) had a repr for its sentinel long before getting type annotations.

Flask getting async support is a huge step for the asyncio web ecosystem in Python. I wonder how Flask's ASGI support will evolve in parallel with Quart[1] which bills itself as the ASGI version of Flask and is maintained by a member of the Pallets team. One of the maintainers of Werkzeug even recommended using Quart[2]

[1] https://pgjones.gitlab.io/quart/

[2] https://github.com/pallets/werkzeug/issues/1322#issuecomment...

I’m pretty sure you need to establish a ‘werkzeug’ logger in a logging configuration and make sure that it has a handler for its effective level. But that’s just what I got from reading the source code. I could very well be wrong

You're not able to change the loglevel with werkzeug. It's hardcoded to info: https://github.com/pallets/werkzeug/blob/72b2e48e7d44927b1b7d6b2f940d0691230de893/src/werkzeug/serving.py#L388

The PRs are this initial one and this update. Also note this issue - almost 5 years to close :o.

Sorry. It's not Quartz, it's just Quart https://pgjones.gitlab.io/quart/

If you're looking for an experience that's very similar to Flask you can use Quart which is inspired by Flask. Quart even has a guide about how to migrate from a Flask application to using Quart! Flask's own documentation for async views actually recommends using Quart in some cases due to the performance hit from using a new event loop per request.

Flask getting async support is a huge step for the asyncio web ecosystem in Python. I wonder how Flask's ASGI support will evolve in parallel with Quart[1] which bills itself as the ASGI version of Flask and is maintained by a member of the Pallets team. One of the maintainers of Werkzeug even recommended using Quart[2]

[1] https://pgjones.gitlab.io/quart/

[2] https://github.com/pallets/werkzeug/issues/1322#issuecomment...

What we get with the async part of this release - If you would like to run an async library or your own async code from a flask route you can do that now. This is super useful, where let's say we have some async code that fetches data from many sources concurrently, or call multiple a few ML prediction endpoints at the same time (as long as they don't time out) using httpx and respond with some sort of outcome, or finally try that cool new async-only database library. A current (v2) limitation is that the you can't make concurrent requests using just the current asyncio implementation (an alternative with Flask API and ASGI: Quart). Typically in production gunicorn or uwsgi + threads/processes/gevent-eventlet is used and this makes Flask behave asynchronously. More here and here if interested.

For people looking to do async stuff with Flask, there is also Quart! It’s essentially an async port of Flask, with all your favorite, familiar methods!

I agree with the transition issues, Quart has this awkward code to try and get around this.

Appreciate the feedback! I forgot to pimp my favorite web framework, Quart, but I can attest to Flask and even Django being great. I always looked down on Django as too big but then I used it for my current company and I realized I was totally wrong. Easy to pick up, lots of functionality if you want it, but it doesn't force it on you.