ImportError: cannot import name ‘Celery’ error typically occurs when “Python interpreter cannot find the module named Celery, or there is a compatibility issue with importlib-metadata library.”
Here are some common reasons why this might be happening and ways to fix it:
Install the correct version of importlib-metadata
Upgrade the importlib-metadata version to fix the ImportError: cannot import name ‘Celery’ error:
pip install --upgrade importlib-metadata
An importlib.metadata is a library that provides access to the metadata of an installed Distribution Package, such as its entry points or its top-level names (Import Packages, modules, if any).
Check if Celery is Installed
Ensure that you have installed the celery package. You can check if it’s installed by running:
pip show celery
If it is not installed, you can install it using pip:
pip install celery
Correct Import Statement
Ensure that the import statement is correct like this:
from celery import Celery
Check for Naming Conflicts
Ensure you don’t have a file named celery.py in your project directory or a folder named celery. This would cause Python to look in that file/folder instead of the installed package.
Check PYTHONPATH
Ensure that your PYTHONPATH environment variable is set correctly. It should include the path where the Celery package is installed. You can check your PYTHONPATH by running the following:
echo $PYTHONPATH
Restart the Interpreter
Sometimes, restarting the Python interpreter or your development environment can fix the issue.
Reinstall Celery
If all else fails, you can try uninstalling and then reinstalling Celery:
pip uninstall celery
pip install celery
In addition to the above, here are some other possible causes of the error message “ImportError: cannot import name ‘Celery'”:
- A circular import. This happens when a module imports itself or another module that imports it.
- A typo in the import statement.
- A problem with the Python interpreter.
I hope the above solutions will help you locate and fix the error!
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Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.