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Intro to Unit Testing & Continuous Integration

Mariatta
January 17, 2022

Intro to Unit Testing & Continuous Integration

Having unit tests and continuous integration (CI) as part of your development are considered best practises. But how do these things work? In this talk, we will cover the benefits of writing unit tests and how to get started with it in Python. Then, we'll step it up running tests as part CI. And that's not all! CI is not just about running tests, but for other things as well, like code quality checks, and even building and generating documentation.

Mariatta

January 17, 2022
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  1. Mariatta Wijaya @mariatta Python Core Developer she/her Vancouver, Canada UTC

    - 7 Senior Developer Relations Enginee r @ Google
  2. Why Unit Test? def add_two_numbers(first, second) : """Adds up both

    numbers and return the sum."" " return first + secon d To answer: “Does the code work?” >>> print(add_two_numbers(1, 2) ) 3 add_number.py @mariatta
  3. Why Unit Test? To answer: “Does the code work?” import

    unittes t from add_number import add_two_number s class TestAddNumbers(unittest.TestCase) : def test_add_two_numbers(self) : result = add_two_numbers(1, 2 ) self.assertEqual(result, 3 ) test_add_number.py >>> python -m unittest test_add_number . --------------------------------------------------------------------- - Ran 1 test in 0.000 s OK @mariatta
  4. Why Unit Test? Test your code against various inputs and

    scenarios def test_add_two_numbers(self) : result = add_two_numbers(1, 2 ) self.assertEqual(result, 12 ) >>> python -m unittest test_add_number F ===================================================================== = FAIL: test_add_two_numbers (test_add_number.TestAddNumbers ) --------------------------------------------------------------------- - Traceback (most recent call last) : File "test_add_number.py", line 9, in test_add_two_number s self.assertEqual(result, 12 ) AssertionError: 3 != 1 2 --------------------------------------------------------------------- - Ran 1 test in 0.000 s FAILED (failures=1 ) @mariatta
  5. Why Unit Test? Test your code against various inputs and

    scenarios def test_add_two_numbers(self) : result = add_two_numbers(1, 2 ) self.assertEqual(result, 3 ) def test_add_two_negative_numbers(self) : result = add_two_numbers(-1, -2 ) self.assertEqual(result, -3 ) def test_add_decimals_numbers(self) : result = add_two_numbers(10.5, 3.25 ) self.assertEqual(result, 13.75 ) @mariatta
  6. Why Unit Test? Find bugs early def test_add_letters(self) : result

    = add_two_numbers(“A”, “B” ) self.assertEqual(result, “AB” ) @mariatta
  7. Why Unit Test? Find bugs early def test_add_letters(self) : result

    = add_two_letters(“A”, “B” ) self.assertEqual(result, “AB” ) def test_add_letter_and_number(self) : result = add_two_numbers(1, “B” ) self.assertEqual( ) @mariatta
  8. Why Unit Test? Find bugs early def add_two_numbers(first, second) :

    """Adds up both numbers and return the sum . Input values must be numbers."" " if not isinstance(first, (int, float)) \ or not (isinstance(second, (int, float))) : raise ValueError("Inputs must be numbers." ) return first + secon d @mariatta
  9. Why Unit Test? Find bugs early def add_two_numbers(first, second) :

    """Adds up both numbers and return the sum . Input values must be numbers."" " if not isinstance(first, (int, float)) \ or not (isinstance(second, (int, float))) : raise ValueError("Inputs must be numbers." ) return first + secon d def test_add_letters(self) : with self.assertRaises(ValueError) : add_two_numbers("A", "B" ) def test_add_letter_and_number(self) : with self.assertRaises(ValueError) : add_two_numbers(1, "B" ) @mariatta
  10. Why Unit Test? Provides documentation and code example def test_add_two_numbers(self)

    : .. . def test_add_two_negative_numbers(self) : .. . def test_add_decimals_numbers(self) : .. . def test_add_letters(self) : """Will raise error, only numbers allowed."" " @mariatta
  11. Why Unit Test? Facilitate future modification Compatibility against different Python/library

    version >>> python3.8 -m unittest test_add_numbe r >>> python3.9 -m unittest test_add_numbe r >>> python3.10 -m unittest test_add_numbe r @mariatta
  12. Why Unit Test? Facilitate future modification Catch deprecation warnings >>>

    python3.9 -Wd -m unittest test_add_numbe r DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.10 it will stop workin g from collections import Mappin g # Deprecated in Python 3.1 0 @mariatta
  13. Why Unit Test? Continuous Integration (CI) The practice of using

    automation to frequently integrating (aka merging) code changes from various contributors into a single project. @mariatta
  14. Why CI Does the code work? Integrating Code is Costl

    y (and Risky) Does it do what it’s supposed to do? @mariatta
  15. Why CI Does the code work? Integrating Code is Costl

    y (and Risky) Does it do what it’s supposed to do? What are the constraints? @mariatta
  16. Why CI Does the code work? Integrating Code is Costl

    y (and Risky) Does it do what it’s supposed to do? What are the constraints? Does it handle exceptions? @mariatta
  17. Why CI Does the code work? Integrating Code is Costl

    y (and Risky) Does it do what it’s supposed to do? What are the constraints? Does it handle exceptions? Is it compatible with the rest of the software? @mariatta
  18. Merging Code Without CI 1 Get a copy of the

    code to be merged @mariatta
  19. Merging Code Without CI 1 Get a copy of the

    code to be merged 2 Set up local environments to test the code @mariatta
  20. Merging Code Without CI 1 Get a copy of the

    code to be merged 2 Set up local environments to test the code 3 Run the tests @mariatta
  21. Merging Code with CI 1 Get a copy of the

    code to be merged 2 Set up local environments to test the code 3 Run the tests automatically automatically automatically @mariatta
  22. GitHub Actions Docs: https://github.com/features/actions Configured by adding a YAML file

    on your repo under .github/workflows directory The YAML file contains a set of instructions to tell the CI how to run the tests. @mariatta
  23. GitHub Actions Example Repo: https://github.com/Mariatta/sample_ci_repo jobs : test : name:

    test w/ Python ${{ matrix.python-version } } runs-on: ubuntu-lates t strategy : matrix : python-version: ["3.8", "3.9" ] steps : - uses: actions/checkout@v 2 - name: Install Dependencie s run: python3 -m pip install -U pip coverag e - name: Run Test s run: python -m unittest test_add_numbe r .github/wofklows/ci.yml Running Unittes t @mariatta
  24. GitHub Actions Example Repo: https://github.com/Mariatta/sample_ci_repo jobs : black-formatting : name:

    code autoformatting with blac k runs-on: ubuntu-lates t steps : - uses: actions/checkout@v 2 - name: Install Dependencie s run: python3 -m pip install -U pip blac k - name: Check code with blac k run: black --check . / .github/wofklows/ci.yml Check Code Styl e @mariatta
  25. GitHub Actions Example Repo: https://github.com/Mariatta/sample_ci_repo jobs : code-coverage : name:

    Code coverag e runs-on: ubuntu-lates t steps : - uses: actions/checkout@v 2 - name: Install Dependencie s run: python3 -m pip install -U pip coverag e - name: Run test and produce coverage repor t run: | coverage run test_add_number.p y coverage repor t .github/wofklows/ci.yml Check Code Coverag e @mariatta
  26. Advanced Topics on Testing unittest module documentation https://docs.python.org/3/library/unittest.html @mariatta Python

    Tutorial: Unit Testing Your Code with the unittest Module, by Corey Schafer https://youtu.be/6tNS--WetLI Getting Started With Testing in Python, Real Python https://realpython.com/python-testing/
  27. Advanced Topics on Testing mock object library https://docs.python.org/3/library/unittest.mock.html @mariatta Mockin

    g Understanding the Python Mock Object Library, Real Python https://realpython.com/python-mock-library/ Demystifying the Patch Function, PyCon US talk by Lisa Roach https://www.youtube.com/watch?v=ww1UsGZV8fQ
  28. Advanced Topics on Testing pytest framework: https://docs.pytest.org/ @mariatta Introduction to

    Unit Testing in Python with Pytest, PyCon US Tutorial by Michael Tom-Wing and Christie Wilson https://youtu.be/UPanUFVFfzY pytes t
  29. Advanced Topics on Testing @mariatta End-to-end Testin g Testing the

    workflow of your software application from start to finish. What is End-to-End Testing and When Should You Use It?, freeCodeCam p https://www.freecodecamp.org/news/end-to-end-testing-tutorial/ Selenium with Pytho n https://selenium-python.readthedocs.io/