Book Image

Full Stack FastAPI, React, and MongoDB

By : Marko Aleksendrić
4 (1)
Book Image

Full Stack FastAPI, React, and MongoDB

4 (1)
By: Marko Aleksendrić

Overview of this book

If you need to develop web applications quickly, where do you turn? Enter the FARM stack. The FARM stack combines the power of the Python ecosystem with REST and MongoDB and makes building web applications easy and fast. This book is a fast-paced, concise, and hands-on beginner’s guide that will equip you with the skills you need to quickly build web applications by diving just deep enough into the intricacies of the stack's components. The book quickly introduces each element of the stack and then helps you merge them to build a medium-sized web application. You'll set up a document store with MongoDB, build a simple API with FastAPI, and create an application with React. Security is crucial on the web, so you'll learn about authentication and authorization with JSON Web Tokens. You'll also understand how to optimize images, cache responses with Redis, and add additional features to your application as well as explore tips, tricks, and best practices to make your development experience a breeze. Before you know it, you'll be deploying the application to different platforms. By the end of this book, you will have built a couple of functional applications efficiently and will have the springboard you need to delve into diverse and more specialized domains.
Table of Contents (17 chapters)
1
Part 1 – Introduction to the FARM Stack and the Components
6
Part 2 – Parts of the Stack Working Together
10
Part 3 – Deployment and Final Thoughts

Summary

In this chapter, we have created a fully functional CRUD backend application for our cars – MongoDB is connected at each startup of the app and disconnected on each shutdown, and we have this connection available in every request. We implemented simple yet functional, and, I hope, illustrative models and opted for strings as IDs in our database. It is time to create our frontend while trying to keep it equally simple.

There are many improvements and not-so-advanced features that should be implemented in this API, but I have omitted them for the sake of brevity. Pagination of results – with the use of the limit and skip operators in MongoDB implemented as query strings in FastAPI – is probably the first thing that comes to mind. FastAPI and its way of handling query strings, combined with the Motor/PyMongo way of constructing MongoDB queries as Python dictionaries, offers almost unlimited flexibility and extensibility. If you feel inclined to try things...