Make sure that the following prerequisites are met:
Docker Compose is installed, as described on the page Docker Compose.
You have a stable Internet connection.
To operate with Docker you need the busybox image be available on your machine. Ensure that you have a stable Internet connection, so that PyCharm can download and run
busybox:latest. Once you have successfully configured Docker, you can go offline.
Before you start working with Docker Compose, make sure that the Docker Integration plugin is enabled. The plugin is bundled with PyCharm and is activated by default. If the plugin is not activated, enable it on the Plugins page of the Settings/Preferences dialog Ctrl+Alt+S as described in Managing plugins.
If you are using Docker for Windows, enable the Expose daemon on tcp://localhost:2375 without TLS option in the General section of your Docker settings.
Note that PyCharm supports docker-compose configuration versions up to 3.x.
A chosen service declared within a Docker Compose configuration file is supported as a Python interpreter. Python run configurations based on this interpreter operate like
docker-compose up command with the addition that it maps project sources into the chosen service container.
The feature works for Linux with the local installations of Docker and macOS, it won't be shown in PyCharm running on Windows platform. On macOS, Docker Compose configuration file must be situated within the default shared folder /Users/.
Working with Docker Compose
In the Settings/Preferences dialog Ctrl+Alt+S box, expand the node Build, Execution, Deployment, and in the Docker page, add the required Docker and then specify the Docker Compose executable.
As a result, the Docker Compose option appears in the Configure Remote Python Interpreter dialog.