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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
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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

Testing using HTTP call mocking

Working with mocks is a common operation when testing. Some dependencies are typically mocked in most tests.

One common dependency to be mocked is external HTTP calls. Performing these calls while running tests is costly, slow, and can produce unreliable results if the network connection fails.

Though external calls can be mocked through the library mock in the Python standard library, as shown in the previous recipe, Testing using dependency mocking, there are specific testing modules that allow you to simulate HTTP calls and responses. Also, there are specific libraries that mock other specific libraries. This produces easier and better mocks, as they are adapted to the behavior of the mock.

We have previously used the fantastic requests library (introduced in the Installing third-party packages recipe from Chapter 1, Let's Begin Our Automation Journey, but also used throughout the book). We will look at how to mock this library specifically...

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