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

Coding a generic pagination class


Right now, the table that persists the notifications in the database has just a few rows. However, after we start working with our API encapsulated in a microservice in a real-life production environment, we will have hundreds of notifications, and therefore, we will have to deal with large result sets. We don't want an HTTP GET request to retrieve 1,000 notifications in a single call. Thus, we will create a generic pagination class and we will use it to easily specify how we want large results sets to be split into individual pages of data.

First, we will compose and send HTTP POST requests to create nine notifications that belong to one of the notification categories we have created: Information. This way, we will have a total of 12 messages persisted in the database. We had three messages and we add nine more. The code file for the sample is included in the restful_python_2_03_01 folder, in the Flask01/cmd309.txt file:

http POST ":5000/service/notifications...