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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 Elasticsearch

Elasticsearch is a search server based on Lucene, which is an open source information-retrieval library. Elasticsearch provides a distributed full-text search engine with a RESTful web interface and schema-free JSON documents. In this recipe, we will implement full-text search using Elasticsearch for our Flask application.

Getting ready

We will use a Python library called pyelasticsearch, which makes dealing with Elasticsearch a lot easier:

$ pip install pyelasticsearch

We also need to install the Elasticsearch server itself. This can be downloaded from http://www.elasticsearch.org/download/. Unpack the package downloaded and run the following command:

$ bin/elasticsearch

This will start the Elasticsearch server on http://localhost:9200/ by default.

How to do it…

To perform the integration, we will start by adding the Elasticsearch object to the application's configuration, that is, my_app/__init__.py:

from pyelasticsearch import ElasticSearch
from...
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