PyCharm 2023.1 Help

Use Pipfile

Pipfile is the dedicated file used by the Pipenv virtual environment to manage project dependencies. This file is essential for using Pipenv. When you create a Pipenv environment either for a new or an existing project, the Pipfile is generated automatically. The file is added to the current project, you can see it in the Project tool window. Similarly, when you open a project with a Pipfile file in PyCharm for the very first time, the Pipenv virtual environment is configured automatically.

Consider a task of creating a list of dependencies from scratch.

Record dependencies in Pipfile to manage project packages

  1. When PyCharm creates a Pipfile for a new pipenv virtual environment, the file looks as follows:

    autogenerated Pipfile

    The python_version parameter is the version of the base interpreter you specified when creating a new pipenv environment. The packages section is the place where you can list the packages required for your project.

  2. Note that PyCharm suggests that you install Pipfile specific plugins. Click the corresponding link to install the plugin for Tom's Obvious, Minimal Language (TOML). You will have to restart PyCharm to enable the plugin. After the restart, you will see the message confirming that the Pipfile format is recognized:

    Toml type is recognized
  3. Add a new package dependency by modifying the packages section.

    [packages] django = "*"
  4. Any time you modify the Pipfile file, PyCharm suggests one of the following actions:

    Run the pipenv update or pipenv lock commands
    • pipenv lock — records the new requirements to the Pipfile.lock file.

    • pipenv update — records the new requirements to the Pipfile.lock file and installs the missing dependencies on the Python interpreter.

    This step is very important, because PyCharm manages project dependencies based on the information recorded in the Pipfile.lock file. So, any requirement added to Pipfile but not locked will be ignored.

    Let us select the pipenv update command to install the Django package.

  5. Ensure that Django is in the list of the installed packages. In the Settings dialog (Control+Alt+S), expand the Project <project name> node, click Python Interpreter, and examine the list of packages.

    Django package is added
  6. Now explore the opposite workflow. In the Python Interpreter dialog, click Add to add the Flask package. Note that pipenv restricts configuring indexes using the standard procedure. All available packages are added from the sources specified in Pipfile. The packages are installed, removed, and updated through pipenv rather than through pip.

    Adding the Flask package
  7. Once, the Flask package is added, close the Available packages dialog and review Pipfile. The [packages] section now looks as follows:

    [packages] django = "*" flask = "*"

PyCharm tracks if any of the requirements listed in Pipfile are not met and suggests that you apply the affected dependencies.

Apply Dependencies

  1. Consider a case when you've checked out or updated the project source files and see the following message:

    packages that are listed in the Pipfile are missing

    Thus, PyCharm reports that your virtual environment doesn't meet the requirements listed in the current version of Pipfile.

  2. Click Install requirements from Pipfile.lock to install the missing packages.

You might have noticed that along with Pipfile, the Pipfile.lock file takes the key important role in managing pipenv project requirements. Each time you execute either pipenv lock or pipenv update, the current snapshot of the virtual environment is taken. Examine the following fragment:

a fragment of the Pipfile.lock

The file has recorded the exact versions of the packages that were installed for the project. It also has generated the hash codes to facilitate secure deployment of your application. When you're downloading dependencies from an untrusted source, the hash codes are used to ensure that the project files are trusted.

Last modified: 17 November 2022