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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

Coding a generic pagination class

Right now, the table that persists the notifications in the database has just a few rows. However, after we start working with our API encapsulated in a microservice in a real-life production environment, we will have hundreds of notifications, and therefore, we will have to deal with large result sets. We don't want an HTTP GET request to retrieve 1,000 notifications in a single call. Thus, we will create a generic pagination class and we will use it to easily specify how we want large results sets to be split into individual pages of data.

First, we will compose and send HTTP POST requests to create nine notifications that belong to one of the notification categories we have created: Information. This way, we will have a total of 12 messages persisted in the database. We had three messages and we add nine more. The code file for the sample...

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