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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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Toc

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 – spies


Mocks allow us to replace an object or class with a dummy mock object. We've seen how we can then make the mock return predefined values, so that the class under test doesn't even know that it has made a call to a mock object. However, sometimes we might want to just record that the call was made to an object, but allow the execution flow to continue to the real object and return. Such an object is known as a spy. A spy retains the functionality of recording calls and being able to assert on the calls afterwards, but it does not replace a real object like a regular mock does.

The wraps parameter when creating a mock.Mock object allows us to create spy behavior in our code. It takes an object as a value, and all calls to the mock are forwarded to the object we pass, and the return value is sent back to the caller. The following is an example:

def test_action_doesnt_fire_if_rule_doesnt_match(self):
    goog = Stock("GOOG")
    exchange = {"GOOG": goog}
    rule = PriceRule("GOOG...
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