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Building Python Microservices with FastAPI

Building Python Microservices with FastAPI

By : Sherwin John C. Tragura
4 (8)
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Building Python Microservices with FastAPI

Building Python Microservices with FastAPI

4 (8)
By: Sherwin John C. Tragura

Overview of this book

FastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. Because of its asynchronous core platform, this ASGI-based framework provides the best option when it comes to performance, reliability, and scalability over the WSGI-based Django and Flask. When working with Python, Flask, and Django microservices, you’ll be able to put your knowledge to work with this practical guide to building seamlessly manageable and fast microservices. You’ll begin by understanding the background of FastAPI and learning how to install, configure, and use FastAPI to decompose business units. You’ll explore a unique and asynchronous REST API framework that can provide a better option when it comes to building microservices. After that, this book will guide you on how to apply and translate microservices design patterns in building various microservices applications and RESTful APIs using the FastAPI framework. By the end of this microservices book, you’ll be able to understand, build, deploy, test, and experiment with microservices and their components using the FastAPI framework.
Table of Contents (17 chapters)
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1
Part 1: Application-Related Architectural Concepts for FastAPI microservice development
6
Part 2: Data-Centric and Communication-Focused Microservices Concerns and Issues
11
Part 3: Infrastructure-Related Issues, Numerical and Symbolic Computations, and Testing Microservices

Using asynchronous path operations

When it comes to improving performance, FastAPI is an asynchronous framework, and it uses Python’s AsyncIO principles and concepts to create a REST API implementation that can run separately and independently from the application’s main thread. The idea also applies to how a background task is executed. Now, to create an asynchronous REST endpoint, attach async to the func signature of the service:

@router.get("/feedback/list")
async def show_tourist_post(touristId: UUID):
    tourist_posts = [assess for assess in feedback_tour.values() 
            if assess.tourist_id == touristId]
    tourist_posts_json = jsonable_encoder(tourist_posts) 
    return JSONResponse(content=tourist_posts_json,
                   status_code...
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