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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 – integration and system tests


Throughout this book, we've stressed the fact that unit tests are not integration tests. They have a different purpose to validating that the system works when integrated. Having said that, integration tests are also important and shouldn't be ignored. Integration tests can be written using the same unittest framework that we use for writing unit tests. The key points to keep in mind when writing integration tests are as follows:

  • Still disable non-core services: Keep non-core services such as analytics or logging disabled. These do not affect the functionality of the application.

  • Enable all core services: Every other service should be live. We don't want to mock or fake these because this defeats the whole purpose of an integration test.

  • Use attributes to tag integration tests: By doing this, we can easily select only the unit tests to run during development, while enabling integration tests to be run during continuous integration or before deployment...

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