ValidatedDC - Dataclass with data validation

[EvgeniyBurdin]

ValidatedDC is a regular Python dataclass, but with the ability to check the validity of the data by which this dataclass was initialized. Also, you can check the data at any time during the life of the instance.

1. Support for standard and custom Python classes.
2. Support for some aliases from the typing module, namely: Any, List, Literal, Optional, Union. These aliases can be embedded in each other.
3. When initializing an instance of a class, you can use the value of the field dict instead of the ValidatedDC instance specified in the field annotation (useful, for example, when retrieving data via api).

See detailed: https://github.com/EvgeniyBurdin/validated_dc

[pyzyx3qwerty]

So, what's your code?

[EvgeniyBurdin]

For example:

from validated_dc import ValidatedDC
from dataclasses import dataclass

from typing import List, Union


@dataclass
class Foo(ValidatedDC):
    foo: int


@dataclass
class Bar(ValidatedDC):
    bar: Union[Foo, List[Foo]]


foo = {'foo': 1}
instance = Bar(bar=foo)
print(instance.get_errors())  # None
print(instance)               # Bar(bar=Foo(foo=1))

list_foo = [{'foo': 1}, {'foo': 2}]
instance = Bar(bar=list_foo)
print(instance.get_errors())  # None
print(instance)               # Bar(bar=[Foo(foo=1), Foo(foo=2)])