dataclass_with_default_init.py

from dataclasses import dataclass

def dataclass_with_default_init(_cls=None, *args, **kwargs):
    def wrap(cls):
        # Save the current __init__ and remove it so dataclass will
        # create the default __init__.
        user_init = getattr(cls, "__init__")
        delattr(cls, "__init__")

        # let dataclass process our class.
        result = dataclass(cls, *args, **kwargs)

        # Restore the user's __init__ save the default init to __default_init__.
        setattr(result, "__default_init__", result.__init__)
        setattr(result, "__init__", user_init)

        # Just in case that dataclass will return a new instance,
        # (currently, does not happen), restore cls's __init__.
        if result is not cls:
            setattr(cls, "__init__", user_init)

        return result

    # Support both dataclass_with_default_init() and dataclass_with_default_init
    if _cls is None:
        return wrap
    else:
        return wrap(_cls)

@dataclass_with_default_init(frozen=True)
class DataClass:
    value: int

    def __init__(self, value: str):
        # error:
        # self.value = int(value)

        self.__default_init__(value=int(value))