46👍
Yes you can do this by setting CELERY_TASK_ALWAYS_EAGER = True in your settings.
(Constant was previously called CELERY_ALWAYS_EAGER)
http://docs.celeryproject.org/en/latest/userguide/configuration.html#task-execution-settings
7👍
There’s also a custom Django test runner in django-celery that helps with CELERY_ALWAYS_EAGER.
Read more about using Celery with Django on the docs.
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5👍
In version 4.0 of Celery CELERY_ALWAYS_EAGER setting was replaced by CELERY_TASK_ALWAYS_EAGER in Django settings.py or task_always_eager natively in celery conf.
Since the numerous changes in the celery configuration from version 3.x to 4.x are spread over many lines, I suggest to use the built-in settings migration tool.
celery upgrade settings --django
source:
Luckily you don’t have to manually change the files, as the celery
upgrade settings –django program should do the right thing.
http://docs.celeryproject.org/en/latest/whatsnew-4.0.html#step-4-upgrade-to-celery-4-0
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After 5+ years of writing Celery tasks I have noticed a pattern I have developed that can help with testing and ease of development – I realised it is much better if my Celery tasks are thin wrappers around the regular Python functions that I typically put in myproject.impl package. Celery tasks may contain some strictly Celery related logic, like using distributed locking for an example, explicit retry logic, etc.
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