Book Image

Flask Framework Cookbook - Second Edition

By : Shalabh Aggarwal
Book Image

Flask Framework Cookbook - Second Edition

By: Shalabh Aggarwal

Overview of this book

Flask, the lightweight Python web framework, is popular thanks to its powerful modular design that lets you build scalable web apps. With this recipe-based guide, you’ll explore modern solutions and best practices for Flask web development. Updated to the latest version of Flask and Python 3, this second edition of Flask Framework Cookbook moves away from some of the old and obsolete libraries and introduces new recipes on cutting-edge technologies. You’ll discover different ways of using Flask to create, deploy, and manage microservices. This Flask Python book starts by covering the different configurations that a Flask application can make use of, and then helps you work with templates and learn about the ORM and view layers. You’ll also be able to write an admin interface and get to grips with debugging and logging errors. Finally, you’ll learn a variety of deployment and post-deployment techniques for platforms such as Apache, Tornado, and Heroku. By the end of this book, you’ll have gained all the knowledge you need to confidently write Flask applications and scale them using standard industry practices.
Table of Contents (15 chapters)

Implementing 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 elasticsearch, which makes dealing with Elasticsearch a lot easier:

$ pip3 install elasticsearch 

We also need to install the Elasticsearch server itself. This can be downloaded from https://www.elastic.co/downloads/elasticsearch. Unpack the package and run the following command:

$ bin/elasticsearch 

This will...