@logger.catch for async task and catch __all__ from module.

[PieceOfGood]

I would love to have comments on this post.

It is also interesting to know the following: if it is not possible to catch exceptions with the @logger.catch decorator for asynchronous functions used only as tasks, except by explicitly specifying this decorator above the declaration of each such function, then is there any possibility, say, to declare isolate a set of such functions in a separate module through __all__ = [], and then, when importing into __init__.py, loop through them and force them to be decorated? For example:

# __init__.py
from loguru import logger
import module

for name in module.__all__:
    func = getattr(module, name)
    wrapped = logger.catch_wrapper(func)
    setattr(module, name, wrapped)

__all__ = [ "module" ]

[PieceOfGood]

Understood the last one.

# __init__.py
from loguru import logger
import module

for name in module.__all__:
    func = getattr(module, name)
    wrapped = logger.catch()(func)
    setattr(module, name, wrapped)

__all__ = [ "module" ]

[Delgan]

Sorry for not answering sooner.

I would certainly not advise to blindly decorate all variables in __all__, but you can indeed use logger.catch() this way (like any other decorator in Python).
I would say it's preferable to only wrap your main() function or entry point.