This repository contains the slides and code examples from my talk on testing in Python, presented at the monthly Python Valencia meetup in December 2022.
The goal of the talk was to provide an introduction to testing in Python, starting from the basics and working up to more advanced techniques, as well as launch open questions on what is a good test.
I hope you find this repository useful as you explore testing in Python. If you have any questions or feedback, please feel free to ask me.
The slides.pdf file contains the slides from my presentation. The original talk
goes up to page 24, presenting basic tests done in pytest, the use of mocks
and fixtures, and ends with an example of mutation testing.
The slides also include additional testing methods (from page 25 on) that were not covered in detail during the original talk, which includes property based testing and behaviour based testing.
The file moon_locator.py contains an easy example of code that calculates
the date & time when the moon will be located in the South.
- An example of not-proper way to test:
this_is_not_a_proper_way_to_test.py - Some easy tests using pytest:
test_moon_locator.py - A test using a pytest fixture:
test_with_fixture.py - A test using mocking:
test_with_mock.py - A test using property-based testing:
test_property_based.py - An example of BBD test:
/features
You can create a virtual enviroment (pyenv, etc) and install the dependencies
from requirements.txt or you can use docker.
Build the image:
docker build -t moon_image .
Explore the container:
docker run -ti moon_image bash
Run a command (f.ex. pytest):
docker run moon_image pytest -v
If you happen to use VS Code, you can install the Dev Container plugin and
work with the code inside a docker container. Just use "Reopen in container"
(as the Development Container config file is in the repo already).
Notice that you may need to install Python extension in Dev Container.
Run pytest:
docker run moon_image pytest -vv
Run pytest with coverage:
pytest -v --cov=. --cov-report=html .
Run mutation testing:
mutmut run --paths-to-mutate=.
See results:
mutmut results
Show a mutation:
mutmut show 1
Execute one mutation:
mutmut run 1 --paths-to-mutate=.
Execute the example test that uses hypothesis:
pytest -v tests/test_property_based.py --hypothesis-show-statistics
Run the features tests:
behave