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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

Converting objects to JSON-compatible types

It is easier for FastAPI to process JSON-compatible types such as dict, list, and BaseModel objects because they can be easily converted to JSON by the framework using its default JSON editor. However, there are circumstances in which runtime exceptions are raised when processing BaseModel, data model, or JSON objects containing data. One of the many reasons for this is that these data objects have attributes that are not supported by JSON rules, such as UUID and non-built-in date types. Regardless, using a framework’s module classes, these objects can still be utilized by converting them into JSON-compatible ones.

When it comes to the direct handling of the API operation’s responses, FastAPI has a built-in method that can encode typical model objects to convert them to JSON-compatible types before persisting them to any datastore or passing them to the detail parameter of JSONResponse. This method, jsonable_encoder(), returns...

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