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Hands-On RESTful Python Web Services

You're reading from   Hands-On RESTful Python Web Services Develop RESTful web services or APIs with modern Python 3.7

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781789532227
Length 500 pages
Edition 2nd Edition
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Author (1):
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Gaston C. Hillar Gaston C. Hillar
Author Profile Icon Gaston C. Hillar
Gaston C. Hillar
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Table of Contents (14) Chapters Close

Preface 1. Developing RESTful APIs and Microservices with Flask 1.0.2 FREE CHAPTER 2. Working with Models, SQLAlchemy, and Hyperlinked APIs in Flask 3. Improving Our API and Adding Authentication to it with Flask 4. Testing and Deploying an API in a Microservice with Flask 5. Developing RESTful APIs with Django 2.1 6. Working with Class-Based Views and Hyperlinked APIs in Django 2.1 7. Improving Our API and Adding Authentication to it with Django 8. Throttling, Filtering, Testing, and Deploying an API with Django 2.1 9. Developing RESTful APIs with Pyramid 1.10 10. Developing RESTful APIs with Tornado 5.1.1 11. Working with Asynchronous Code, Testing, and Deploying an API with Tornado 12. Assessment 13. Other Books You May Enjoy

Creating schemas to validate, serialize, and deserialize users

Now we will create the Flask-Marshmallow schema that we will use to validate, serialize, and deserialize the previously declared User model. Open the models.py file within the service folder and add the following code after the existing lines. The code file for the sample is included in the restful_python_2_03_02 folder, in the Flask01/service/models.py file:

class UserSchema(ma.Schema): 
    id = fields.Integer(dump_only=True) 
    name = fields.String(required=True,  
        validate=validate.Length(3)) 
    url = ma.URLFor('service.userresource',  
        id='<id>',  
        _external=True) 

The code declares the UserSchema schema, specifically a subclass of the ma.Schema class. Remember that the previous code we wrote for the service/models.py file created a flask_marshmallow.Mashmallow...

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