By Siddharta Govindaraj
Develop top of the range and maintainable Python purposes utilizing the foundations of test-driven development
About This Book
- Write strong and simply maintainable code utilizing the rules of attempt pushed development
- Get options to real-world difficulties confronted by means of Python developers
- Go from a unit trying out newbie to a grasp via a chain of step by step tutorials which are effortless to follow
Who This publication Is For
This ebook is meant for Python builders who are looking to use the foundations of test-driven improvement (TDD) to create effective and powerful functions. with a view to get the simplest out of this publication, you will have improvement adventure with Python.
What you are going to Learn
- Implement the test-driven improvement technique in Python applications
- Fully leverage Python's robust integrated unittest and doctest modules
- Effectively upload beneficial properties to current code bases that don't have any tests
- Safely get to the bottom of issues of the code and layout, with out breaking any functionality
- Utilize Python's strong mock and patch performance to check complicated interactions
- Integrate unit trying out into the final software program supply process
- Use doctest to check code with examples
- Enhance TDD with the nose2 attempt runner
This ebook starts off with a glance on the test-driven improvement technique, and the way it's diverse from the normal method of writing code. all of the ideas are offered within the context of a true program that's built in a step by step demeanour over the process the ebook. whereas exploring the typical forms of stinky code, we are going to return into our instance venture and freshen up the smells that we find.
Additionally, we'll use mocking to enforce the components of our instance undertaking that rely on different platforms. in the direction of the tip of the booklet, we are going to have a look at the most typical styles and anti-patterns linked to test-driven improvement, together with integration of try effects into the improvement process.
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Additional info for Test- Driven Python Development
38 ] Chapter 2 Try your hand at implementing this requirement. Do not make any changes to the existing interfaces for these methods, but feel free to make any changes to the implementation as you require. Here are some things to think about: • Does our existing design support this new feature? Do we need to make any changes to the current design? • What kind of tests would we write for this requirement? • After we get everything working, is there any clean up we can do to make the code more readable or maintainable?
With that code implemented, all our tests, including the new one, will pass. [ 31 ] Red-Green-Refactor – The TDD Cycle A quick primer on properties Properties are a feature of Python where we can delegate attribute access to a function. price will cause the method to be called instead of searching for the attribute. In our implementation, it allows us to create an interface so that other modules can refer to the stock price as an attribute, even though there is no such actual attribute in the object.
However, it is not a very scalable solution. If we have hundreds of files, we would like to run all the tests at once, and not have to execute each file individually. To address this, Python 3 comes with a very nice test discovery and execution capability from the command line. exe -m unittest • Linux/Mac: python3 -m unittest This command will go through the current directory and all subdirectories and run all the tests that are found. This is the default autodiscover mode of execution, where the command searches all the files and runs the tests.