Book Image

Hands-On RESTful Python Web Services - Second Edition

By : Gaston C. Hillar
1 (1)
Book Image

Hands-On RESTful Python Web Services - Second Edition

1 (1)
By: Gaston C. Hillar

Overview of this book

Python is the language of choice for millions of developers worldwide that builds great web services in RESTful architecture. This second edition of Hands-On RESTful Python Web Services will cover the best tools you can use to build engaging web services. This book shows you how to develop RESTful APIs using the most popular Python frameworks and all the necessary stacks with Python, combined with related libraries and tools. You’ll learn to incorporate all new features of Python 3.7, Flask 1.0.2, Django 2.1, Tornado 5.1, and also a new framework, Pyramid. As you advance through the chapters, you will get to grips with each of these frameworks to build various web services, and be shown use cases and best practices covering when to use a particular framework. You’ll then successfully develop RESTful APIs with all frameworks and understand how each framework processes HTTP requests and routes URLs. You’ll also discover best practices for validation, serialization, and deserialization. In the concluding chapters, you will take advantage of specific features available in certain frameworks such as integrated ORMs, built-in authorization and authentication, and work with asynchronous code. At the end of each framework, you will write tests for RESTful APIs and improve code coverage. By the end of the book, you will have gained a deep understanding of the stacks needed to build RESTful web services.
Table of Contents (19 chapters)
Title Page
Dedication
About Packt
Contributors
Preface
Index

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 to asynchronous and non-blocking request handlers. We don't need to specify an app as an argument for the test functions...