Werkzeug
attrs
Werkzeug | attrs | |
---|---|---|
11 | 11 | |
6,546 | 5,081 | |
0.2% | 0.4% | |
8.5 | 9.1 | |
about 16 hours ago | 8 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Werkzeug
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Flask like web framework under 100 lines of code
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:
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Django or Flask and why?
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.
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Creating a ‘ghost’ website?
But this may be a starting point: https://github.com/pallets/werkzeug/blob/main/src/werkzeug/middleware/http_proxy.py
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I found (and fixed) a vulnerability in Python
> 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...
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PEP 661 -- Sentinel Values
Werkzeug (library used by Flask) had a repr for its sentinel long before getting type annotations.
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New Versions Released! Flask 2.0 with async
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...
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Disable Color from the log that flaak produce
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
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logging: how to modify debug messages
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
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15x speedup for flask/werkzeug form multipart file upload with bytes.find() and bytes.rindex()
The PRs are this initial one and this update. Also note this issue - almost 5 years to close :o.
attrs
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Litestar 2.0
Full support for validation and serialisation of attrs classes and msgspec Structs. Where previously only Pydantic models and types where supported, you can now mix and match any of these three libraries. In addition to this, adding support for another modelling library has been greatly simplified with the new plugin architecture
- Ask HN: How can I get better at writing production-level Python?
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Starlite updates March '22 | 2.0 is coming
Pydantic is by far not the only library of its kind, with prominent members of the same class being attrs, cattrs or even plain dataclasses for some use cases.
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Data Classification: Does Python still have a need for class without dataclass?
Anything requiring e.g. setattr, getattr, delattr? Without looking far,
https://github.com/python-attrs/attrs/blob/main/src/attr/_ma...
- What new Python features are the most useful for you?
- Why you should use Data Classes in Python
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Python Built-In Functions to Know
I was looking for an example of using locals() to "fill a data class from kwargs" or something similar to that. The example here doesn't use locals().
That aside, I generally wouldn't use the kwargs approach shown in this example either. I'd use [dataclasses](https://docs.python.org/3/library/dataclasses.html ) or [attrs](https://www.attrs.org/) instead.
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Building a Micro Business: What Services I Pay For
hynek: developer of attrs
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Soap and REST at Odds (2017)
I continue to be surprised how easy it can be to consume a SOAP API with the right client libraries. Such as https://docs.python-zeep.org/en/master/ for Python. Now that's not to say it will always work, you can design a terrible API with any mechanism, no SOAP or REST client will help you if the other end has desided to succumb to madness and done something like turn their entire API into just "two endpoints" and driven by the payload content you post to the inbound endpoint, and you have to sit there polling the outbound endpoint with the inbound endpoints response ID because to find out what the eventual response is...
But horror story aside, consuming a decent SOAP endpoint with a good client library can be practically magical.
Between attrs (https://www.attrs.org/), cattrs (https://cattrs.readthedocs.io/), and the aforementioned zeep soap client I've got a serialisation pipeline from soap endpoint into an attrs dataclass with type hints and basic type validation down to a snippet so small it fits right here (type hints removed to minimise size).
from zeep import helpers
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PEP 661 -- Sentinel Values
attrs has at least two.
What are some alternatives?
gunicorn - gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
itsdangerous - Safely pass trusted data to untrusted environments and back.
waitress - Waitress - A WSGI server for Python 3
transitions - A lightweight, object-oriented finite state machine implementation in Python with many extensions
uwsgi - Official uWSGI docs, examples, tutorials, tips and tricks
pluginbase - A simple but flexible plugin system for Python.
bjoern - A screamingly fast Python 2/3 WSGI server written in C.
Pychievements - The Python Achievements Framework!
Paste - Paste is in maintenance mode. Please consider other options.
Throttler - 🔀⏳ Easy throttling with asyncio support
flask - The Python micro framework for building web applications. [Moved to: https://github.com/pallets/flask]
blinker - A fast Python in-process signal/event dispatching system.