pluralsight-unit-testing-python

Code for pluralsight course Unit Testing with Python by Emily Bache

Notes

• Stub - returns a hard coded answer to any query (no logic)
• Fake - is a real implementation, yet unsuitable for production
• Mock - is as a Stub, but additionally verifies interactions
• Test Spy - lets you query afterwards to find out what happened
• Dummy - is for when the interface requires an argument
• Monkeypatching - changing code at runtime

Progress

• Unit Testing with Python - Basic Example Using unittest
• Why and When Should You Write Unit Tests
• Using Pytest for Unit Testing in Python
• Testable Documentation with Doctest
• Test Doubles: Mocks, Fakes and Stubs
• Test Coverage and Parameterized Tests

Unittest

python -m unittest -v

Pytest

python -m pytest --doctest-modules -v

Doctest

Should be in proper folder:

python -m doctest test_* -v

Test Coverage

• coverage and pytest-cov packages are required
• Add pragma: no cover to exclude code from coverage report

With pytest

Terminal report:

python -m pytest --cov-report term-missing --cov <target>

HTML report:

python -m pytest --cov-report html --cov <target>

With unittest

To generate report:

python -m coverage run -m unittest

To view report in terminal:

python -m coverage report

To view report in HTML:

python -m coverage html

Coverage Branch feature

• Create .coveragerc
• Add - Add following code to it

[run]
branch=True