Configure a pipenv environment

Pipenv is a tool that provides all necessary means to create a virtual environment for your Python project. It automatically manages project packages through the Pipfile file as you install or uninstall packages.

Pipenv also generates the Pipfile.lock file, which is used to produce deterministic builds and create a snapshot of your working environment. This might be particularly helpful for security sensitive deployment, when project requirements and packages versions are critical. For more information about pipenv, refer to the project documentation at pipenv.pypa.io.

To use pipenv with DataSpell, you need to implement several preparation steps.

Install pipenv

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.
Install pipenv by running the following command:
$ pip install --user pipenv
When installation completes, you will see the following message:
For your convenience, you might add the user base’s binary directory to your PATH environmental variable. If you skip this procedure, DataSpell 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"
  Running the above command in PowerShell will overwrite the user PATH variable. To avoid that, use $ setx PATH "$env:PATH;C:\Users\jetbrains\AppData\Roaming\Python\Python37\Scripts" instead.
  However, you should keep in mind that this command has a side effect of duplicating the content of the system PATH variable in the user PATH variable.
  For more information about managing environment variables in PowerShell, refer to the PowerShell documentation.
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.

After the preparation steps are done, you can use pipenv to create a virtual environment for new or existing projects.

You can also set up pipenv for any of your earlier created projects.

Configure pipenv for an existing Python project

Do one of the following:
- Press Ctrl+Alt+S to open Settings and go to Project: workspace | Python Interpreter. Click the Add Interpreter link next to the list of the available interpreters.
- Click the Python Interpreter selector and choose Interpreter Settings. Click the Add Interpreter link next to the list of the available interpreters.
- In the context menu of an attached directory, select Interpreter.
Select Add Local Interpreter.
The following actions depend on whether you want to generate a new virtual environment or to use an existing one.
New pipenv environment
1. Select Pipenv from the list of environment types.
2. Select the base interpreter from the list, or click and find the Python executable in your file system.
3. 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 DataSpell doesn't detect the pipenv executable, click Install pipenv via pip to allow DataSpell to install it for you automatically.
  Alternatively, follow the pipenv installation procedure to discover the executable path, and then specify it in the dialog.
Existing pipenv environment
Select the interpreter from the list.
If the required interpreter is not on the list, click , and then browse for the required Python executable.
The selected virtual environment will be reused for the current project.
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.

Last modified: 13 November 2024