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Modern Python Cookbook

You're reading from   Modern Python Cookbook 130+ updated recipes for modern Python 3.12 with new techniques and tools

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835466384
Length 818 pages
Edition 3rd Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1 Numbers, Strings, and Tuples FREE CHAPTER 2. Chapter 2 Statements and Syntax 3. Chapter 3 Function Definitions 4. Chapter 4 Built-In Data Structures Part 1: Lists and Sets 5. Chapter 5 Built-In Data Structures Part 2: Dictionaries 6. Chapter 6 User Inputs and Outputs 7. Chapter 7 Basics of Classes and Objects 8. Chapter 8 More Advanced Class Design 9. Chapter 9 Functional Programming Features 10. Chapter 10 Working with Type Matching and Annotations 11. Chapter 11 Input/Output, Physical Format, and Logical Layout 12. Chapter 12 Graphics and Visualization with Jupyter Lab 13. Chapter 13 Application Integration: Configuration 14. Chapter 14 Application Integration: Combination 15. Chapter 15 Testing 16. Chapter 16 Dependencies and Virtual Environments 17. Chapter 17 Documentation and Style 18. Other Books You May Enjoy
19. Index

15.8 Testing things that involve dates or times

Many applications rely on functions like datetime.datetime.now() or time.time() to create a timestamp. When we use one of these functions with a unit test, the results are essentially impossible to predict. This is an interesting dependency injection problem here: our application depends on a class that we would like to replace only when we’re testing.

One option is to design our application to avoid functions like now(). Instead of using this method directly, we can create a factory function that emits timestamps. For test purposes, this function can be replaced with one that produces known results.

The alternative is called monkey-patching – injecting a new object at test time. This can reduce the design complexity; it tends to increase the test complexity.

In this recipe, we’ll write tests with datetime objects. We’ll need to create mock objects for datetime instances to create...

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