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Mastering Flask Web and API Development

You're reading from   Mastering Flask Web and API Development Build and deploy production-ready Flask apps seamlessly across web, APIs, and mobile platforms

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781837633227
Length 494 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 (18) Chapters Close

Preface 1. Part 1:Learning the Flask 3.x Framework
2. Chapter 1: A Deep Dive into the Flask Framework FREE CHAPTER 3. Chapter 2: Adding Advanced Core Features 4. Chapter 3: Creating REST Web Services 5. Chapter 4: Utilizing Flask Extensions 6. Part 2:Building Advanced Flask 3.x Applications
7. Chapter 5: Building Asynchronous Transactions 8. Chapter 6: Developing Computational and Scientific Applications 9. Chapter 7: Using Non-Relational Data Storage 10. Chapter 8: Building Workflows with Flask 11. Chapter 9: Securing Flask Applications 12. Part 3:Testing, Deploying, and Building Enterprise-Grade Applications
13. Chapter 10: Creating Test Cases for Flask 14. Chapter 11: Deploying Flask Applications 15. Chapter 12: Integrating Flask with Other Tools and Frameworks 16. Index 17. Other Books You May Enjoy

Building an asynchronous SQLAlchemy repository layer

The updated flask-sqlalchemy extension module supports SQLAlchemy 2.x that provides API utilities, which use the asyncio environment with greenlet as the main library, allowing propagation of the await keyword in the APIs’ internal processes. Our ch05-web and ch05-api projects have the async transactions that call these awaited SQLAlchemy Create-Read-Update-Delete (CRUD) operations using a new DB configuration in our projects’ /models/config.py file that utilizes an asyncpg driver to build a session for non-blocking repository transactions.

Setting up the DB connectivity

To start with the configuration, install the asyncpg DB driver or dialect that the asyncio-driven SQLAlchemy module requires using the pip command:

pip install asyncpg

Also, include the greenlet library in the installation if it is not yet part of the virtual environment:

pip install greenlet

The setup also requires a connection string...

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