attrs
cattrs
attrs | cattrs | |
---|---|---|
11 | 7 | |
5,081 | 756 | |
0.5% | 0.8% | |
9.1 | 8.8 | |
12 days ago | 18 days ago | |
Python | Python | |
MIT License | MIT License |
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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.
cattrs
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Writing Python like itβs Rust
I'd suggest you look at my cattrs (https://catt.rs) library as a good serde lookalike in Python (sum type support present and getting better), and to use attrs instead of dataclasses in general.
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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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Noob question on saving objects in YAML files
That being said, data serialization is a very common thing to do, so naturally there are tons of libraries that automate it for you. Personally, using dataclasses and cattrs is my goto way for doing such things.
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Taking JSON input for "posts", "tags" etc. How to escape '\' charecter or detect carefully?
I'm fond of attrs and cattrs myself, attrs make creating data classes a snap, writing all of the stupid code python requires to have a dataclass. Note the new built in dataclass is actually a limited copy of attrs. https://www.attrs.org/en/stable/ and https://github.com/python-attrs/cattrs
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apischema v0.17 - I've developed the fastest typed JSON (de)serialization library, and you can also build your GraphQL schema with it
This month, I've released version 0.17, and it's now blazing fast; there is in fact no more comparison with Pydantic, which more than 5x slower (up to 30x in serialization). It's also faster than alternatives like mashumaro or cattrs. (See the quick benchmark result in documentation, and the code)
- cattrs β an open source Python library for structuring and unstructuring data
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I use attrs instead of pydantic
```
Cattrs has some problems with generics [1] [2]. Dacite and marshmallow-dataclasses don't support generics well either, with some issues around Union types.
They do work well for simple python types but what I'd like to see is guarantee that the serialisation operation is completely reversible and if not raise warning/exception.
[1] https://github.com/Tinche/cattrs/issues/149
What are some alternatives?
itsdangerous - Safely pass trusted data to untrusted environments and back.
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
transitions - A lightweight, object-oriented finite state machine implementation in Python with many extensions
pydantic - Data validation using Python type hints
pluginbase - A simple but flexible plugin system for Python.
Fast JSON schema for Python - Fast JSON schema validator for Python.
Pychievements - The Python Achievements Framework!
serpy - ridiculously fast object serialization
Throttler - πβ³ Easy throttling with asyncio support
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
blinker - A fast Python in-process signal/event dispatching system.
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)