Book Image

Flask Framework Cookbook - Third Edition

By : Shalabh Aggarwal
4.3 (4)
Book Image

Flask Framework Cookbook - Third Edition

4.3 (4)
By: Shalabh Aggarwal

Overview of this book

Discover what makes Flask, the lightweight Python web framework, popular, as you delve into its modular design that enables the development of scalable web apps. With this practical guide, you'll explore modern solutions, recommended design patterns, and best practices for Flask web development. Updated to the latest version of Flask and Python, this third edition of the Flask Framework Cookbook moves away from the outdated libraries, updates content to incorporate new coding patterns, and introduces recipes for the latest tools. You'll explore different ways to integrate with GPT to build AI-ready Flask applications. The book starts with an exploration of Flask application configurations and then guides you through working with templates and understanding the ORM and view layers. You’ll also be able to write an admin interface and get to grips with testing using the factory pattern, debugging, and logging errors. Then you’ll discover different ways of using Flask to create, deploy, and manage microservices using AWS, GCP, and Kubernetes. Finally, you’ll gain insights into various deployment and post-deployment techniques for platforms such as Apache, Tornado, and Datadog. By the end of this book, you'll have acquired the knowledge necessary to write Flask applications that cater to a wide range of use cases in the best possible way and scale them using standard industry practices.
Table of Contents (20 chapters)
1
Part 1: Flask Fundamentals
6
Part 2: Flask Deep Dive
12
Part 3: Advanced Flask

Creating a complete RESTful API

In this recipe, we will convert the API structure created in the last recipe, Creating an extension-based REST interface, into a full-fledged RESTful API.

Getting ready

We will take the API skeleton from the last recipe as a basis to create a completely functional SQLAlchemy-independent RESTful API. Although we will use SQLAlchemy as the ORM for demonstration purposes, this recipe can be written in a similar fashion for any ORM or underlying database.

How to do it…

The following lines of code are the complete RESTful API for the Product model. These code snippets will go into the views.py file.

Start with imports and add parser:

import json
from flask_restful import Resource, reqparse
parser = reqparse.RequestParser()
parser.add_argument('name', type=str)
parser.add_argument('price', type=float)
parser.add_argument('category', type=dict)

In the preceding snippet, we created parser for the arguments...