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Test Driven Python Development

You're reading from   Test Driven Python Development Develop high-quality and maintainable Python applications using the principles of test-driven development

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781783987924
Length 264 pages
Edition 1st Edition
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Author (1):
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Siddharta Govindaraj Siddharta Govindaraj
Author Profile Icon Siddharta Govindaraj
Siddharta Govindaraj
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Test-Driven Development FREE CHAPTER 2. Red-Green-Refactor – The TDD Cycle 3. Code Smells and Refactoring 4. Using Mock Objects to Test Interactions 5. Working with Legacy Code 6. Maintaining Your Test Suite 7. Executable Documentation with doctest 8. Extending unittest with nose2 9. Unit Testing Patterns 10. Tools to Improve Test-Driven Development A. Answers to Exercises B. Working with Older Python Versions Index

Pattern – running a subset of tests


We already saw a simple way of running a subset of tests by simply specifying the module or test class on the command line, as shown in the following:

python -m unittest stock_alerter.tests.test_stock
python -m unittest stock_alerter.tests.test_stock.StockTest

This works for the common case of when we want to run a subset based on the module. What if we want to run tests based on some other parameter? Maybe we want to run a set of basic smoke tests, or we want to run only integration tests, or we want to skip tests when running on a specific platform or Python version.

The unittest module allows us to create test suites. A test suite is a collection of test classes that are run. By default, unittest performs an autodiscovery for tests and internally creates a test suite with all the tests that match the discovery pattern. However, we can also manually create different test suites and run them.

Test suites are created using the unittest.TestSuite class. The...

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