Book Image

Building Python Web APIs with FastAPI

By : Abdulazeez Abdulazeez Adeshina
Book Image

Building Python Web APIs with FastAPI

By: Abdulazeez Abdulazeez Adeshina

Overview of this book

RESTful web services are commonly used to create APIs for web-based applications owing to their light weight and high scalability. This book will show you how FastAPI, a high-performance web framework for building RESTful APIs in Python, allows you to build robust web APIs that are simple and intuitive and makes it easy to build quickly with very little boilerplate code. This book will help you set up a FastAPI application in no time and show you how to use FastAPI to build a REST API that receives and responds to user requests. You’ll go on to learn how to handle routing and authentication while working with databases in a FastAPI application. The book walks you through the four key areas: building and using routes for create, read, update, and delete (CRUD) operations; connecting the application to SQL and NoSQL databases; securing the application built; and deploying your application locally or to a cloud environment. By the end of this book, you’ll have developed a solid understanding of the FastAPI framework and be able to build and deploy robust REST APIs.
Table of Contents (14 chapters)
Part 1: An Introduction to FastAPI
Part 2: Building and Securing FastAPI Applications
Part 3: Testing And Deploying FastAPI Applications

Preparing for deployment

Deployment usually marks the end of an application’s life cycle. Before deploying our applications, we must make sure the right settings required for a smooth deployment are put in place. These settings include ensuring the application dependencies are up to date in the requirements.txt file, configuring environment variables, and so on.

Managing dependencies

In a few earlier chapters, we installed packages such as beanie and pytest. These packages are absent from the requirements.txt file, which serves as the dependency manager for our application. It is important that the requirements.txt file is kept up to date.

In Python, the list of packages used in a development environment can be retrieved using the pip freeze command. The pip freeze command returns a list of all packages installed directly and the sub-dependencies for each package installed. Luckily, the requirements.txt file can be maintained manually, enabling us to list only the main...