Python classes with types validation at runtime.

Last update: Feb 6, 2022

Overview

typedclasses

Python classes with types validation at runtime. (Experimental & Under Development)

Installation

You can install this library using Python's favorite, pip package manager.

pip install -U typedclasses

How it works

Using typedclasses, you can create classes in dataclasses-like manner i.e using type annotations and library will enforce types for that class at runtime. Here's an example:

import typing
from typedclasses import TypedClass

class User(TypedClass):
  id: int
  name: str
  email: typing.Optional[str] = None

Parameters will be validated when initialising above class. Since email has a default value set, It is optional to pass it as a parameter while instansiating:

>> User(id="1", name="foobar") TypeError: Parameter 'id' must be an instance of 
,

is unsupported.">
>>> User(id=1, name="foobar") # runs fine
>>> User(id="1", name="foobar")
TypeError: Parameter 'id' must be an instance of <class 'int'>, <class 'str'> is unsupported.

This library also provides validation for various generic types from typing module:

class Foo(TypedClass):
  x: typing.Union[str, int]

Foo(x="a") # ok
Foo(x=1) # ok
Foo(x=True) # invalid

List of all types supported from typing module can be found in the documentation.

Contribute

You can contribute to the library in two ways:

Directly contributing to code using pull requests.
Suggest features or report bugs via issues.

We welcome all contributions! 👍

When using issues, Please be descriptive about your issue and for pull requests, Try to be consistent with current design.

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Releases(0.0.1)

0.0.1(Feb 2, 2022)

Initial release.

Commits history: https://github.com/nerdguyahmad/typedclasses/commits/0.0.1
Source code(tar.gz)
Source code(zip)