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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 (20) Chapters Close

Test-Driven Python Development
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
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 Answers to Exercises Working with Older Python Versions Index

Integrating with build tools


It just takes a single line to execute our test cases. Then why would we want to integrate with build tools? Build tools support pre-requisites, so by integrating with such tools, we can ensure the tests are run before performing a critical task. An example would be to run all the tests before deploying the code to production.

Paver

Paver is a popular Python-based build tool. It is built around the concept of tasks. Tasks are a sequence of commands that perform a particular action, such as building the application or running unit tests. Tasks are coded in regular Python and placed in a file called pavement.py in the project root.

We want to create a task that will run our unit tests. The following is how we can do that in Paver:

import subprocess
from paver.easy import task, consume_args, options, needs

@task
@consume_args
def test():
    args = []
    if hasattr(options, "args"):
        args = options.args
    p = subprocess.Popen(["python", "-m", "unittest"]...
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