Pycharm warns package requirement not satisfied when using pipenv to install package

Question:

I am trying to install packages into my Pycharm environment using pipenv. However, when I use pipenv install <package name>, a popup appears on the top mentioning

“Package requirement not satisfied”

and asks me to “install requirements from Pipfile.lock”

When I started the project, I selected Pipenv as my project interpreter.Why is PyCharm asking to re-install a package from the Pipfile.lock file when I clearly used pipenv from the beginning and set the project to use Pipenv as an interpreter. Am I double installing ?

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Update:

It is now reported as a bug in PyCharm, please vote for the issue:

https://youtrack.jetbrains.com/issue/PY-34622

Asked By: PolarBear10

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Answers:

The solution is in this answer on the JetBrains support forums.

The steps are as follows:

  1. Go to File > Invalidate Caches/Restart… and press Invalidate and Restart.
  2. Once restarted, add the interpreter back, wait for the stubs to be rebuilt and then check to if the problem has been resolved.
  3. If not, then first remove the pipenv interpreter as the project interpreter by going to File > Settings > Project: > Project Interpreter and setting the project interpreter to No Interpreter. Click Apply and OK. Then repeat steps 1 and 2 and see if it solves the problem.

I’m not sure why this problem occurs, but it seems to solve it when it comes up.

EDIT 07/29/19:

This bug has been fixed in the 2019.2 Release of PyCharm.

Answered By: Mihai Chelaru

I’m still running into this issue on 2020.3. I think it’s because when setting up the interpreter the python interpreter is in a virtualenv and the pipenv install is in $PYENV_ROOT/versions. To workaround this, I just set the interpreter as a virtualenv environment and manage pipenv through the CLI.

Answered By: user2540711yo

I had an old requirements.txt laying around after switching to setup.py and pip install -e ..

Removed the requirements.txt and the warnings disappeared.

Answered By: HeyMan

Make sure that your paths are right.

for me, I was using venv, so its path should be the same path of the project + "/.venv"

that solved the problem for me.

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and the same for pipenv:

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Answered By: Mohamed Reda