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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

Using the Python mocking framework

The unittest.mock module provided by Python is an extremely powerful mocking framework, yet at the same time it is very easy to use.

Let us redo our tests using this library. First, we need to import the mock module at the top of our file as follows:

from unittest import mock

Next, we rewrite our first test as follows:

class EventTest(unittest.TestCase):
    def test_a_listener_is_notified_when_an_event_is_raised(self):
        listener = mock.Mock()
        event = Event()
        event.connect(listener)
        event.fire()
        self.assertTrue(listener.called)

The only change that we've made is to replace our own custom Mock class with the mock.Mock class provided by Python. That is it. With that single line change, our test is now using the inbuilt mocking class.

The unittest.mock.Mock class is the core of the Python mocking framework. All we need to do is to instantiate the class and pass it in where it is required. The mock will record if it was...

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