Run/Debug Configuration: Django Test

Target

Specify the target to be executed. If the field is left empty, it means that all the tests in all the applications specified in INSTALLED_APPS will be executed.

• If you want to run tests in a certain application, specify the application name.

• To run a specific test case, specify its name after the application name, delimited with a dot.

• To run a single test method within a test case, add the test method name after dot.

Same rules apply to the doctests contained in the test targets. The test label is used as the path to the test method or class to be executed. If there is function with a doctest, or a class with a class-level doctest, you can invoke that test by appending the name of the test method or class to the label.

Custom settings

If this checkbox is selected, Django test will run with the specified custom settings, rather than with the default ones.

Specify the fully qualified name of the file that contains Django settings. You can either type it manually, in the text field to the right, or click the browse button, and select one in the dialog that opens.

If this checkbox is not selected, Django test will run with the default settings, defined in the Settings field of the Django page. The text field is disabled.

Options

If this checkbox is selected, it is possible to specify parameters to be passed to the Django tests. Type the list of parameters in the text field to the right, prepending parameters with '--' and using spaces as delimiters. For example:

--noinput --failfast

If this checkbox is not selected, the text field is disabled.

Environment

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.

To fill in the list, click the browse button, or press 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 , 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