christianhelle / autofaker Goto Github PK

https://github.com/databrickslabs/dbldatagen

there is this library from data bricks labs with a very similar functionality and focus. Maybe you should align yours to try to make use of data Bricks’s library, or mention how your focus is different maybe you have a different compatibility requirements.

Love the idea of this! Our use case makes heavy use of enums. Are there plans for enum support in the future?

This is a very helpful project. Cannot imagine there is no AutoFixture correspondence in python.

It would be more useful if there is pytest support:

from autofaker import autodata
@autodata()
def test_2(tstr: str):
  pass

Output: NotImplementedError: This way of creating anonymous objects are only supported from unit test

Hello,

I make use of typing: Literals in my code, where an enum would be overkill. Would you consider incorporating this as a feature?

def test_():

    from dataclasses import dataclass
    from autofaker import Autodata

    from typing import Literal
    MyLiteral = Literal['a', 'b']

    @dataclass
    class DTO:
        id: int
        thing: MyLiteral

    data = Autodata.create(DTO, use_fake_data=True)

    print(f'id:     {data.id}')
    print(f'thing:   {data.thing}')

Many thanks!

The current code to generate an enum is the following:

def is_enum(t) -> bool:
    return t.__base__.__name__ == 'Enum'

This allows only direct classes of Enum to be generated. If you have something like

class BasicEnum(Enum):
   some stuff

class MyEnum(BasicEnum):
   VALUE_1 = 1
   VALUE_2 = 2

it wont work.
This can be fixed by just asking if it is instance of Enum instead

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