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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

Managing requests and responses

Unlike in other frameworks, it is easy to capture the request body of the incoming POST, PUT, and PATCH request in Flask, which is through the get_json() method from the request proxy object. This utility method receives the incoming JSON data, parses the data using json.loads(), and returns the data in a Python dictionary format. As seen in the following add_customer() API, the value of get_json() is converted into a kwargs argument by Python’s ** operator before passing the request data to the model class’s constructor, an indication that the captured request data is a dict convertible into kwargs:

@current_app.post('/customer/add')
def add_customer():
        cust_json = request.get_json()
        repo = CustomerRepository(db_session)
        customer = Customer(**cust_json)
     ...
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