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Hands-On RESTful Python Web Services

You're reading from   Hands-On RESTful Python Web Services Develop RESTful web services or APIs with modern Python 3.7

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781789532227
Length 500 pages
Edition 2nd Edition
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Author (1):
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Gaston C. Hillar Gaston C. Hillar
Author Profile Icon Gaston C. Hillar
Gaston C. Hillar
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Table of Contents (14) Chapters Close

Preface 1. Developing RESTful APIs and Microservices with Flask 1.0.2 FREE CHAPTER 2. Working with Models, SQLAlchemy, and Hyperlinked APIs in Flask 3. Improving Our API and Adding Authentication to it with Flask 4. Testing and Deploying an API in a Microservice with Flask 5. Developing RESTful APIs with Django 2.1 6. Working with Class-Based Views and Hyperlinked APIs in Django 2.1 7. Improving Our API and Adding Authentication to it with Django 8. Throttling, Filtering, Testing, and Deploying an API with Django 2.1 9. Developing RESTful APIs with Pyramid 1.10 10. Developing RESTful APIs with Tornado 5.1.1 11. Working with Asynchronous Code, Testing, and Deploying an API with Tornado 12. Assessment 13. Other Books You May Enjoy

Running unit tests with pytest and checking testing coverage

Now, we will use the pytest command to run tests and measure their code coverage. Make sure you run the command in the Terminal or Command Prompt window in which you have activated the virtual environment, and that you are located within its root folder (Tornado01). Run the following command:

    pytest --cov -v  

The test runner will execute all the functions defined in tests.py that start with the test_ prefix, and will display the results. We use the -v option to instruct pytest to print the test function names and statuses in verbose mode. The --cov option turns on test coverage report generation with the use of the pytest-cov plugin.

The following lines show the sample output:

================================================ test session starts =================================================
platform darwin -...
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