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. Refer to the django-admin.py and manage.py documentation for details.

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.

Refer to the option description for details.

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.

Refer to the section Writing custom django-admin commands for details.

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 Shift+Enter 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:

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.

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 Ctrl+Shift+F10, 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.

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

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. See Managing data in containers for details.

• Environment variables: Use this field to specify the list of environment variables and their values. This corresponds to the -e option. Refer to the page ENV (environment variables) for details.

• 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

Commands and options

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

Command Preview

You can expand this field to preview the complete command string.

Example: if you enter the following combination in the Commands and options field:

up --build exec --user jetbrains

the preview output should looks as follows: