Run/Debug Configuration: Django Server

Host

In this text box, specify the host name to be used.

Port

In this text box, specify the port number where the server will start.

Additional options

In this text box, specify the options of the django-admin.py utility. For more information, refer to the django-admin.py and manage.py documentation.

Run browser

Select this checkbox, if you want your Django application to open in the default browser. In the text field below, enter the IP address where your application will be opened.

Test server

If this checkbox is selected, a Django development server is launched with the test database.

If this checkbox is not selected, the development server will be used.

No reload

If this checkbox is selected, the -- noreload option of the runserver command becomes enabled. If this checkbox is not selected, PyCharm will not select it automatically, which means that debugging in autoreload mode is possible.

For more information, refer to the option description.

This field is only available when the Test server checkbox is cleared.

Custom run command

Specify here the custom command you want to register with manage.py utility. Such command, being properly added to your project, becomes available via the Run manage.py task command on the Tools menu.

For more information, refer to Writing custom django-admin commands.

Project

Click this list to select one of the projects, opened in the same PyCharm window, where this run/debug configuration should be used. If there is only one open project, this field is not displayed.

Environment variables

This field shows the list of environment variables. If the list contains several variables, they are delimited with semicolons.

By default, the field contains the variable PYTHONUNBUFFERED set to 1. To fill in the list, click the browse button, or press ShiftEnter and specify the desired set of environment variables in the Environment Variables dialog.

To create a new variable, click , and type the desired name and value.

You might want to populate the list with the variables stored as a series of records in a text file, for example:

Variable1 = Value1
Variable2 = Value2

Just copy the list of variables from the text file and click Paste () in the Environmental Variables dialog. The variables will be added to the table. Click Ok to complete the task. At any time, you can select all variables in the Environment Variables dialog, click Copy , and paste them into a text file.

Python Interpreter

Select one of the pre-configured Python interpreters from the list.

note

When PyCharm stops supporting any of the outdated Python versions, the corresponding Python interpreter is marked as unsupported.

Interpreter options

In this field, specify the command-line options to be passed to the interpreter. If necessary, click , and type the string in the editor.

Working directory

Specify a directory to be used by the running task.

• When a default run/debug configuration is created by the keyboard shortcut CtrlShiftF10, or by choosing Run from the context menu of a script, the working directory is the one that contains the executable script. This directory may differ from the project directory.

• When this field is left blank, the bin directory of the PyCharm installation will be used.

You can use path variables in this field.

Add content roots to PYTHONPATH

Select this checkbox to add all content roots of your project to the environment variable PYTHONPATH;

Add source roots to PYTHONPATH

Select this checkbox to add all source roots of your project to the environment variable PYTHONPATH;

Docker container settings

warning

This field only appears when a Docker-based remote interpreter is selected for a project..

Click to open the dialog and specify the following settings:

Options

• Publish all ports: Expose all container ports to the host. This corresponds to the option --publish-all.

• Port bindings: Specify the list of port bindings. Similar to using the -p option with docker run.

• Volume bindings: Use this field to specify the bindings between the special folders-volumes and the folders of the computer, where the Docker daemon runs. This corresponds to the -v option. For more information, refer to Managing data in containers.

• Environment variables: Use this field to specify the list of environment variables and their values. This corresponds to the -e option. For more information, refer to ENV (environment variables).

• Run options: Use this field to specify the Docker command-line options.

Click to expand the tables. Click , , or to make up the lists.

Docker Compose

warning

This field only appears when a Docker Compose-based remote interpreter is selected.

Commands and options

You can use the following commands of the Docker Compose Command-Line Interface:

Command preview

Use this field to preview the complete command string.

For example, the up --build exec --user jetbrains combination in the Commands and options field produces the following output in the preview:

docker-compose
-f C:\PyCharm-2019.2\Demos\djangodocker-master\docker-compose.yml
-f <override configuration file>
up --build exec --user jetbrains