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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

Technical requirements

This chapter uses an Online Library Management System to expound on building a microservice application that incorporates FastAPI, Django, and Flask sub-applications with Tornado as the facade application and the server. The sub-applications are mounted using different URL prefixes. Here are the services offered by each of the mounted applications:

  • Django sub-module – managing student book borrowers
  • Flask sub-module – managing faculty book browsers
  • FastAPI sub-module – managing feedback and complaints from borrowers
  • Flask main application – the core transactions
  • Tornado application – the facade application

Figure 12.1 shows the flow of transactions of these mounted applications.

Figure 12.1 – Combined Django, Flask, FastAPI, and Tornado applications

Figure 12.1 – Combined Django, Flask, FastAPI, and Tornado applications

The sub-modules use SQLAlchemy as the ORM, while the Flask main application uses the standard Peewee ORM. All...

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