Pytest
PyCharm supports pytest, a fully functional testing framework.
The following features are available:
The dedicated test runner.
Code completion for test subject and pytest fixtures.
Code navigation.
Detailed failing assert reports.
Support for Python 2.7 and Python 3.5 and later.
Multiprocessing test execution.
By default, the suggested default test runner is unittest. So, to utilize pytest, you need to make it the default test runner first.
Install Pytest
Go to the Python Package tool window
Start typing
pytest
in the Search field of the Python Package tool window. Locate the package in the list of the available packages and click Install.
Once the pytest
package is installed, PyCharm detects it and makes it the default project test runner. At any time you can change a test runner in the project settings.
Now, that pytest is set as the default testing framework, you can create a small test for the Car
class. Let's create a pytest test to check the brake
function.
Create a test
Create a Python project.
In the main menu, go to File | New, choose Python file, type car.py, and click OK.
Copy and paste the Car class into the car.py file.
In the editor, place the caret at the
brake
method declaration.Do one of the following:
Go to
.From the context menu, choose
.Press Ctrl+Shift+T.
PyCharm shows the list of available tests.
Click Create new test.
The Create Test dialog opens.
In the Create Test dialog, specify the following settings:
Target directory, where the new test class will be generated.
The name of the test file (in our example, test_car.py), and the name of the test class if needed.
Select the checkboxes next to the methods you want to include in the test class.
Note that if you place the caret within a method, only this method name is included in the list. Also, mind the naming convention: the test method has the
test
prefix. The Run Test icon will appear in the editor gutter for all methods with such a prefix.
Click OK when ready. PyCharm generates the test file in the specified location.
PyCharm automatically generates a test file with the test method template. Replace the template code with the code that sets the initial speed value of
Car
to 50 and checks if speed gets properly set to 45 after thebrake()
function execution.from car import Car def test_car_brake(): car = Car(50) car.brake() assert car.speed == 45
Note that PyCharm recognizes the test subject and offers completion for the Car
class' instance.
Although Go To Test Subject and Go To Test commands of the context menu are not supported for pytest, you can navigate to the tested code in car.py by using the Go To Declaration Ctrl+B command.
Run a test
Click to run the test:
Note that PyCharm automatically creates a pytest Run/Debug configuration:
Select Run pytest for test_car_pytest to execute the test.
Inspect test results:
Alter the
assert
statement to the following:assert my_car.speed == 4599
.Rerun the test to evaluate the assert failing report:
Note that pytest provides an explicit report on the failure.
With pytest fixtures you can create small test units that can be reused across the testing module. All you need is to mark a reusable unit with @pytest.fixture
.
Use fixtures
Modify your pytest test as follows:
import pytest from car import Car @pytest.fixture def my_car(): return Car(50) def test_car_accelerate(my_car): my_car.accelerate() assert my_car.speed == 55 def test_car_brake(my_car): my_car.brake() assert my_car.speed == 45my_car()
is a fixture function that creates aCar
instance with the speed value equal to 50. It is used intest_car_accelerate
andtest_car_brake
to verify correct execution of the corresponding functions in theCar
class.Note that the
my_car
fixture is added to the code completion list along with other standard pytest fixtures, such astempdir
.Click either of the icons, or run the entire test module.
You can enable sharing fixture instances across tests using the scope
parameter of the fixture function. For more information about pytest fixtures, refer to pytest fixtures documentation.
You might want to run your tests on the predefined set of data. PyCharm supports test parametrization implemented in pytest through @pytest.mark.parametrize
.
Apply parametrization
let's create a set of speed values to test
car.accelerate
andcar.brake
functions:speed_data = {45, 50, 55, 100}
Modify the test code to the following:
import pytest from car import Car speed_data = {45, 50, 55, 100} @pytest.mark.parametrize("speed_brake", speed_data) def test_car_brake(speed_brake): car = Car(50) car.brake() assert car.speed == speed_brake @pytest.mark.parametrize("speed_accelerate", speed_data) def test_car_accelerate(speed_accelerate): car = Car(50) car.accelerate() assert car.speed == speed_accelerateNote that PyCharm detects the newly created parameters and adds them to the completion list.
Run the test for the
car.brake()
function. You should expect the following test report:
You can also run the test for car.accelerate()
function to ensure that it fails for all speed values but 55. For more information about parametrized test, refer to pytest documentation.