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Flask Framework Cookbook

You're reading from   Flask Framework Cookbook Over 80 hands-on recipes to help you create small-to-large web applications using Flask

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783983407
Length 258 pages
Edition 1st Edition
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Author (1):
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Shalabh Aggarwal Shalabh Aggarwal
Author Profile Icon Shalabh Aggarwal
Shalabh Aggarwal
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Table of Contents (14) Chapters Close

Preface 1. Flask Configurations FREE CHAPTER 2. Templating with Jinja2 3. Data Modeling in Flask 4. Working with Views 5. Webforms with WTForms 6. Authenticating in Flask 7. RESTful API Building 8. Admin Interface for Flask Apps 9. Internationalization and Localization 10. Debugging, Error Handling, and Testing 11. Deployment and Post Deployment 12. Other Tips and Tricks Index

Full-text search with Whoosh

Whoosh is a fast, featureful, full-text indexing and searching library implemented in Python. It has a pure Pythonic API and allows developers to add search functionality to their applications easily and efficiently. In this recipe, we will use a package called Flask-WhooshAlchemy, which integrates the text-search functionality of Whoosh with SQLAlchemy for use in Flask applications.

Getting ready

The Flask-WhooshAlchemy package can be installed via pip using the following command:

$ pip install flask_whooshalchemy

This will install the required packages and dependencies.

How to do it…

Integrating Whoosh with Flask using SQLAlchemy is pretty straightforward. First, we need to provide the path to the Whoosh base directory where the index for our models will be created. This should be done in the application's configuration, that is, my_app/__init__.py:

app.config['WHOOSH_BASE'] = '/tmp/whoosh'

You can choose any path you prefer, and it...

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