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Learning Flask Framework

Learning Flask Framework

4.5 (2)
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Learning Flask Framework

Learning Flask Framework

4.5 (2)

Overview of this book

Flask is a small and powerful web development framework for Python. It does not presume or force a developer to use a particular tool or library. Flask supports extensions that can add application features as if they were implemented in Flask itself. Flask’s main task is to build web applications quickly and with less code. With its lightweight and efficient web development framework, Flask combines rapid development and clean, simple design. This book will take you through the basics of learning how to apply your knowledge of Python to the web. Starting with the creation of a “Hello world” Flask app, you will be introduced to the most common Flask APIs and Flask’s interactive debugger. You will learn how to store and retrieve blog posts from a relational database using an ORM and also to map URLs to views. Furthermore, you will walk through template blocks, inheritance, file uploads, and static assets. You will learn to authenticate users, build log in/log out functionality, and add an administrative dashboard for the blog. Moving on, you will discover how to make Ajax requests from the template and see how the Mock library can simplify testing complex interactions. Finally, you will learn to deploy Flask applications securely and in an automated, repeatable manner, and explore some of the most popular Flask resources on the web.
Table of Contents (12 chapters)
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11
Index

Creating Atom feeds


A really useful feature for any blog is to have the ability for your readers to keep up-to-date with the latest content. This most commonly happens with an RSS reader client that polls your RSS subscription feed. While RSS is widely used, a better, more mature subscription format is available and is called Atom.

Both are files that can be requested by a client, and are standard and simple XML data structures. Fortunately, an Atom feed generator is built into Flask; or, more specifically, a contributed module is built into the WSGI interface that Flask uses called Werkzeug.

Getting it up-and-running is simple, all we need to do is to get hold of our most recently published posts from the database. It may be best to create a new Blueprint for this; however, you can also do it within your main.py. We just need to make use of a few more modules:

from urlparse import urljoin
from flask import request, url_for
from werkzeug.contrib.atom import AtomFeed
from models import Entry...

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