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Home/ Questions/Q 8884331
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Editorial Team
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Editorial Team
Asked: June 14, 20262026-06-14T21:02:22+00:00 2026-06-14T21:02:22+00:00

I’m having a task that looks like this from mybasetask_module import MyBaseTask @task(base=MyBaseTask) @my_custom_decorator

  • 0

I’m having a task that looks like this

from mybasetask_module import MyBaseTask

@task(base=MyBaseTask)
@my_custom_decorator 
def my_task(*args, **kwargs):
    pass

and my base task looks like this

from celery import task, Task

class MyBaseTask(Task):
    abstract = True
    default_retry_delay = 10 
    max_retries = 3 
    acks_late = True

The problem I’m running into is that the celery worker is registering the task with the name

'mybasetask_module.__inner'

The task is registerd fine (which is the package+module+function) when I remove @my_custom_decorator from the task or if I provide an explicit name to the task like this

from mybasetask_module import MyBaseTask

@task(base=MyBaseTask, name='an_explicit_task_name')
@my_custom_decorator 
def my_task(*args, **kwargs):
    pass

Is this behavior expected? Do I need to do something so that my tasks are registered with the default auto registered name in the first case when I have multiple decorators but no explicit task name?

Thanks,

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-14T21:02:23+00:00Added an answer on June 14, 2026 at 9:02 pm

    Use the functools.wraps() decorator to ensure that the wrapper returned by my_custom_decorator has the correct name:

    from functools import wraps
    
    def my_custom_decorator(func):
        @wraps(func)
        def __inner():
            return func()
        return __inner
    

    The task name is taken from the function call that the task decorator wraps, but by inserting a decorator in between, you gave task your __inner wrapping function instead. The functools.wraps() decorator copies all the necessary metadata over from func to the wrapper so that task() can pick up the proper name.

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