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Python Automation Cookbook

You're reading from   Python Automation Cookbook 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800207080
Length 526 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (16) Chapters Close

Preface 1. Let's Begin Our Automation Journey 2. Automating Tasks Made Easy FREE CHAPTER 3. Building Your First Web Scraping Application 4. Searching and Reading Local Files 5. Generating Fantastic Reports 6. Fun with Spreadsheets 7. Cleaning and Processing Data 8. Developing Stunning Graphs 9. Dealing with Communication Channels 10. Why Not Automate Your Marketing Campaign? 11. Machine Learning for Automation 12. Automatic Testing Routines 13. Debugging Techniques 14. Other Books You May Enjoy
15. Index

Preparing testing scenarios

Tests are typically prepared in batches. Similar tests require a similar setup and cleanup, and they only differ on small details. Repeating the same preparation over and over generates boilerplate code and it's less readable.

The term boilerplate comes from 19th century local newspapers printing already-prepared news stamped onto metal plates by distribution companies. This meant the same news, in the same format, was repeated all across different newspapers. Boilerplate code is reused code that presents little or no variation, and, in most cases, mainly adds clutter. When creating tests, it is easy to fall into this pattern, which makes the code cumbersome.

In this recipe, we will see how to prepare setup scenarios to run tests using pytest fixtures.

Getting ready

We will use the pytest module. We should install the modules, adding them to our requirements.txt file as follows:

$ echo "pytest==5.4.1" >...
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