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Python API Development Fundamentals

You're reading from   Python API Development Fundamentals Develop a full-stack web application with Python and Flask

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Product type Paperback
Published in Nov 2019
Publisher
ISBN-13 9781838983994
Length 372 pages
Edition 1st Edition
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Authors (3):
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Jack Chan Jack Chan
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Jack Chan
Jack Huang Jack Huang
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Jack Huang
Ray Chung Ray Chung
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Ray Chung
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Table of Contents (12) Chapters Close

Preface 1. Your First Step FREE CHAPTER 2. Starting to Build Our Project 3. Manipulating a Database with SQLAlchemy 4. Authentication Services and Security with JWT 5. Object Serialization with marshmallow 6. Email Confirmation 7. Working with Images 8. Pagination, Searching, and Ordering 9. Building More Features 10. Deployment Appendix

Flask-Caching

Flask-Caching is a Flask extension package that allows us easily implement caching functionality. You can imagine a cache as a dictionary object that contains key-value pairs. The key here is used to specify the resource to cache, whereas the value is used to store the actual data to be cached. Take the resource for retrieving all the recipes as an example. The flow contains the following stages:

  1. Request the get /recipes resource.
  2. Use the key to search for the existing cache (Flask-Caching will be using request.path and hashed_args to be the key value, for example, recipesbcd8b0c2eb1fce714eab6cef0d771acc).
  3. If the recipes were previously cached, return the cached data.
  4. If no cache for these recipes exists, follow the standard flow to get the recipes from the database.
  5. Save the result (the recipe data) in the cache.
  6. Return the recipe data.

The process is better illustrated through the following figure:

Figure 9.1...
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