Book Image

Django RESTful Web Services

By : Gaston C. Hillar
Book Image

Django RESTful Web Services

By: Gaston C. Hillar

Overview of this book

Django is a Python web framework that makes the web development process very easy. It reduces the amount of trivial code, which simplifies the creation of web applications and results in faster development. It is very powerful and a great choice for creating RESTful web services. If you are a Python developer and want to efficiently create RESTful web services with Django for your apps, then this is the right book for you. The book starts off by showing you how to install and configure the environment, required software, and tools to create RESTful web services with Django and the Django REST framework. We then move on to working with advanced serialization and migrations to interact with SQLite and non-SQL data sources. We will use the features included in the Django REST framework to improve our simple web service. Further, we will create API views to process diverse HTTP requests on objects, go through relationships and hyperlinked API management, and then discover the necessary steps to include security and permissions related to data models and APIs. We will also apply throttling rules and run tests to check that versioning works as expected. Next we will run automated tests to improve code coverage. By the end of the book, you will be able to build RESTful web services with Django.
Table of Contents (16 chapters)
Title Page
www.PacktPub.com
About the Author
Preface

Chapter 10. Automating Tests

In this chapter, we will add some automated testing to our RESTful Web Services and we will execute the tests within a test database. We won't cover all the tests that we should write for our complex RESTful Web Service. However, we will follow the first steps and we will gain an understanding of:

  • Getting ready for unit testing with pytest
  • Writing unit tests for a RESTful Web Service
  • Discovering and running unit tests with pytest
  • Writing new unit tests to improve tests' code coverage
  • Running new unit tests