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Building Python Microservices with FastAPI

You're reading from   Building Python Microservices with FastAPI Build secure, scalable, and structured Python microservices from design concepts to infrastructure

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803245966
Length 420 pages
Edition 1st Edition
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Author (1):
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Sherwin John C. Tragura Sherwin John C. Tragura
Author Profile Icon Sherwin John C. Tragura
Sherwin John C. Tragura
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Application-Related Architectural Concepts for FastAPI microservice development
2. Chapter 1: Setting Up FastAPI for Starters FREE CHAPTER 3. Chapter 2: Exploring the Core Features 4. Chapter 3: Investigating Dependency Injection 5. Chapter 4: Building the Microservice Application 6. Part 2: Data-Centric and Communication-Focused Microservices Concerns and Issues
7. Chapter 5: Connecting to a Relational Database 8. Chapter 6: Using a Non-Relational Database 9. Chapter 7: Securing the REST APIs 10. Chapter 8: Creating Coroutines, Events, and Message-Driven Transactions 11. Part 3: Infrastructure-Related Issues, Numerical and Symbolic Computations, and Testing Microservices
12. Chapter 9: Utilizing Other Advanced Features 13. Chapter 10: Solving Numerical, Symbolic, and Graphical Problems 14. Chapter 11: Adding Other Microservice Features 15. Index 16. Other Books You May Enjoy

Building async repository for FastAPI using ODMantic

The dependencies of Beanie and ODMantic come from Motor and Pydantic. ODMantic also utilizes Motor’s AsyncIOMotorClient class to open a database connection. It also uses Pydantic features for class attribute validation, Python’s typing extension for type hinting, and other Python components for management. But its edge over Beanie is that it complies with ASGI frameworks such as FastAPI.

To pursue ODMantic, we need to install the extension using the following pip command:

pip install odmantic

Creating the database connection

Setting up the database connectivity in ODMantic is the same as what we do with the Beanie mapper, except that the setup includes creating an engine that will handle all its CRUD operations. This engine is AIOEngine from the odmantic module, which requires both the motor client object and the database name to be created successfully. The following is a complete implementation of the...

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