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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 2. Working with Models, SQLAlchemy, and Hyperlinked APIs in Flask FREE CHAPTER 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

Writing the first round of unit tests

Now, we will write the first round of unit tests. Specifically, we will write unit tests related to the LED resources. Test fixtures provide a fixed baseline to enable us to reliably and repeatedly execute tests. Pytest makes it easy to declare a test fixture function by marking a function with the @pytest.fixture decorator. Then, whenever we use the fixture function name as an argument in a test function declaration, pytest will make the fixture function provide the fixture object.

The pytest-tornasync plugin provides us with many fixtures that we will use to easily write tests for our Tornado API. In order to work with this plugin, we must declare a fixture function, named app, that returns a tornado.web.Application instance. In our case, this fixture function will return an instance of the Application class, which maps the URL patterns...

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