Configure a pipenv environment

Install pipenv

1. Run the following command to ensure you have pip installed in your system:

   $ pip --version

   You should expect to receive a system response indicating the pip version. If no pip is discovered, install it as described in the Installation Instructions. Alternatively, you can download and install Python from http://python.org.

2. Install pipenv by running the following command:

   $ pip install --user pipenv

   When installation completes, you will see the following message:

   

3. For your convenience, you might add the user base’s binary directory to your PATH environmental variable. If you skip this procedure, Aqua will prompt you to specify the path to the pipenv executable when adding a pipenv environment.

   1. Run the following command:

      $ py -m site --user-site

      A sample output can be:

      C:\Users\jetbrains\AppData\Roaming\Python\Python37\site-packages

   2. Replace site-packages with Scripts in this path to receive a string for adding to the PATH variable, for example:

      $ setx PATH "%PATH%;C:\Users\jetbrains\AppData\Roaming\Python\Python37\Scripts"

   1. Run the following command to find the user base's binary directory:

      $ python -m site --user-base

      An example of output can be

      /Users/jetbrains/.local (macOS) or /home/jetbrains/.local (Linux)

   2. Add bin to this path to receive a string for adding to the ~/.bashrc file, for example:

      $ export PATH="$PATH:/Users/jetbrains/.local/bin"

   3. Run the following command to make the changes effective:

      $ source ~/.bashrc

   4. Ensure you have enabled bashrc in your bash_profile.

At any time you can alter the specified path to the pipenv executable in the project settings. In the Settings dialog (Ctrl+Alt+S) , navigate to Tools | Python Integrated Tools, and type the target path in the Path to Pipenv executable field.

Set pipenv for a new Python project

1. Initiate creating a new Python project as described in Creating an empty Python project.

2. In the right-hand pane click New to create a new project SDK.

3. In the left-hand pane of the Add Python Interpreter dialog, select Pipenv Environment.

4. If you have added the user base binary directory to your PATH environment variable, you don't need to set any additional options: the path to the pipenv executable will be autodetected.

   

5. Click OK to complete the task.

6. If you don't have the base binary directory in PATH, Aqua shows an error message: Pipenv executable is not found. Discover the proper executable path as described in the pipenv installation procedure and enter the target string in the Pipenv executable field, for example: C:\Users\jetbrains\AppData\Roaming\Python\Python37\Scripts\pipenv.exe (Windows) or /Users/jetbrains/.local/bin/pipenv (macOS).

   Click OK to save the changes and complete the task.

Configure pipenv for an existing Python project

1. Navigate to File | Project Structure or press Ctrl+Alt+Shift+S.

2. In the Project Structure dialog, select SDKs under the Platform Settings section, click , and choose Add Python SDK from the popup menu.

   

3. In the left-hand pane of the Add Python Interpreter dialog, select Pipenv Environment.

   

4. Choose the base interpreter from the list, or click and find the Python executable in your file system.

5. If your project contains Pipfile, you can choose whether you want to install the packages listed in it by enabling or disabling the Install packages from Pipfile checkbox. By default, the checkbox is enabled.

6. If you have added the base binary directory to your PATH environmental variable, you don't need to set any additional options: the path to the pipenv executable will be autodetected.

   If the pipenv executable is not found, follow the pipenv installation procedure to discover the executable path, and then specify it in the dialog.

7. Click OK to complete the task.

When you have set the pipenv virtual environment as a Python interpreter, all available packages are added from the source defined in Pipfile. The packages are installed, removed, and updated in the list of the packages through pipenv rather than through pip.