Question 1

How to use celery-types with mypy?

Accepted Answer

Install celery-types via pip and add the monkey patching code from the README to your project's initialization. Then run mypy with your Celery code, ensuring the stubs are detected in your Python environment for accurate type checking.

Question 2

celery-types vs writing my own type stubs for Celery?

Accepted Answer

celery-types saves time by providing maintained, comprehensive stubs for the entire ecosystem, whereas custom stubs require deep knowledge of Celery internals and ongoing updates. It's best for teams wanting reliable, community-vetted type hints without the maintenance burden.

Question 3

Does celery-types support the latest Celery version?

Accepted Answer

Check the PyPI page or GitHub releases for compatibility notes, as celery-types may lag behind Celery updates. Always test with your specific version to ensure the stubs align with API changes.

Question 4

How to monkey patch Celery tasks with celery-types?

Accepted Answer

Copy the patching code from the README into a setup file like __init__.py, customizing the class list based on what you use. This enables generic parameters for classes like Celery and AsyncResult, but be cautious to avoid patching unused classes.

Question 5

Is celery-types compatible with PyCharm or VS Code?

Accepted Answer

Yes, since it provides standard PEP 561 type stubs, most IDEs with Python support should recognize them after installation and patching. Ensure the stubs are in your interpreter path for autocompletion to work seamlessly.

Question 6

What are the main limitations of celery-types?

Accepted Answer

It only covers specific packages and requires manual patching, which can be error-prone. Dynamic aspects of Celery, such as task decorators with runtime configurations, might not be fully type-checkable.

celery-types

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