Error with from __future__ import annotations

[LEv145]

from __future__ import annotations

import dataconf

from dataclasses import dataclass


@dataclass
class Model():
    token: str
    
dataconf.env("TEST_", Model)

Error:

Traceback (most recent call last):
  File "main.py", line 13, in <module>
    dataconf.env("ITBUTKA_", Model)
  File "/.venv/lib/python3.9/site-packages/dataconf/main.py", line 64, in env
    return multi.env(prefix, **kwargs).on(clazz)
  File "/.venv/lib/python3.9/site-packages/dataconf/main.py", line 57, in on
    return parse(conf, clazz, self.strict, **self.kwargs)
  File "/.venv/lib/python3.9/site-packages/dataconf/main.py", line 16, in parse
    return utils.__parse(conf, clazz, "", strict, ignore_unexpected)
  File "/.venv/lib/python3.9/site-packages/dataconf/utils.py", line 68, in __parse
    fs[f.name] = __parse(
  File "/.venv/lib/python3.9/site-packages/dataconf/utils.py", line 186, in __parse
    for child_clazz in sorted(clazz.__subclasses__(), key=lambda c: c.__name__):
AttributeError: 'str' object has no attribute '__subclasses__'

Process finished with exit code 1

[zifeo]

@LEv145 Thank you for your report. PEP 563 (and its backport from __future__ import annotations) seems to introduce a change in annotations evaluation that will have a wide impact on type based logic/libraries.

You can find an attempt to support the change the this branch:

pip install --upgrade git+https://github.com/zifeo/dataconf.git@annotations
poetry add git+https://github.com/zifeo/dataconf.git@annotations

However as this change has been delayed (3.10), is still a bit buggy (see Python bug tracker) and does not offer (yet?) an elegant way around, I will wait until more info and stability are available. The final fix will likely be somehow different.

[zifeo]

Dataconf 2.0.0 has been back-ported to support branch.

[ghost]

This is broken again on 2.2.1, unfortunately. (Python 3.11, MacOS).

[zifeo]

@dargueta-copilotiq v2.2.2 has been backeported, let me know if you find any issue

[ghost]

Looks good to me. Thanks!