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Building Data Science Applications with FastAPI - Second Edition

You're reading from  Building Data Science Applications with FastAPI - Second Edition

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781837632749
Pages 422 pages
Edition 2nd Edition
Languages
Author (1):
François Voron François Voron
Profile icon François Voron

Table of Contents (21) Chapters

Preface 1. Part 1: Introduction to Python and FastAPI
2. Chapter 1: Python Development Environment Setup 3. Chapter 2: Python Programming Specificities 4. Chapter 3: Developing a RESTful API with FastAPI 5. Chapter 4: Managing Pydantic Data Models in FastAPI 6. Chapter 5: Dependency Injection in FastAPI 7. Part 2: Building and Deploying a Complete Web Backend with FastAPI
8. Chapter 6: Databases and Asynchronous ORMs 9. Chapter 7: Managing Authentication and Security in FastAPI 10. Chapter 8: Defining WebSockets for Two-Way Interactive Communication in FastAPI 11. Chapter 9: Testing an API Asynchronously with pytest and HTTPX 12. Chapter 10: Deploying a FastAPI Project 13. Part 3: Building Resilient and Distributed Data Science Systems with FastAPI
14. Chapter 11: Introduction to Data Science in Python 15. Chapter 12: Creating an Efficient Prediction API Endpoint with FastAPI 16. Chapter 13: Implementing a Real-Time Object Detection System Using WebSockets with FastAPI 17. Chapter 14: Creating a Distributed Text-to-Image AI System Using the Stable Diffusion Model 18. Chapter 15: Monitoring the Health and Performance of a Data Science System 19. Index 20. Other Books You May Enjoy

Handling multiple WebSocket connections and broadcasting messages

As we said in the introduction to this chapter, a typical use case for WebSockets is to implement real-time communication across multiple clients, such as a chat application. In this configuration, several clients have an open WebSocket tunnel with the server. Thus, the role of the server is to manage all the client connections and broadcast messages to all of them: when a user sends a message, the server has to send it to all other clients in their WebSockets. We show you a schema of this principle here:

Figure 8.4 – Multiple clients connected through a WebSocket to a server

Figure 8.4 – Multiple clients connected through a WebSocket to a server

A first approach could be simply to keep a list of all WebSocket connections and iterate through them to broadcast messages. This would work but would quickly become problematic in a production environment. Indeed, most of the time, server processes run multiple workers when deployed. This means that instead...

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