Book Image

Building Enterprise JavaScript Applications

By : Daniel Li
Book Image

Building Enterprise JavaScript Applications

By: Daniel Li

Overview of this book

With the over-abundance of tools in the JavaScript ecosystem, it's easy to feel lost. Build tools, package managers, loaders, bundlers, linters, compilers, transpilers, typecheckers - how do you make sense of it all? In this book, we will build a simple API and React application from scratch. We begin by setting up our development environment using Git, yarn, Babel, and ESLint. Then, we will use Express, Elasticsearch and JSON Web Tokens (JWTs) to build a stateless API service. For the front-end, we will use React, Redux, and Webpack. A central theme in the book is maintaining code quality. As such, we will enforce a Test-Driven Development (TDD) process using Selenium, Cucumber, Mocha, Sinon, and Istanbul. As we progress through the book, the focus will shift towards automation and infrastructure. You will learn to work with Continuous Integration (CI) servers like Jenkins, deploying services inside Docker containers, and run them on Kubernetes. By following this book, you would gain the skills needed to build robust, production-ready applications.
Table of Contents (26 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Free Chapter
1
The Importance of Good Code
Index

Querying Elasticsearch from E2E tests


We now have all the required knowledge in Elasticsearch to implement our last undefined step definition, which reads from the database to see if our user document has been indexed correctly. We will be using the JavaScript client, which is merely a wrapper around the REST API, with a one-to-one mapping to its endpoints. So first, let's install it:

$ yarn add elasticsearch

Next, import the package into our spec/cucumber/steps/index.js file and create an instance of elasticsearch.Client:

const client = new elasticsearch.Client({
  host: `${process.env.ELASTICSEARCH_PROTOCOL}://${process.env.ELASTICSEARCH_HOSTNAME}:${process.env.ELASTICSEARCH_PORT}`,
});

By default, Elasticsearch runs on port 9200. However, to avoid hard-coded values, we have explicitly passed in an options object, specifying the host option, which takes its value from the environment variables. To make this work, add these environment variables to our .env and .env.example files:

ELASTICSEARCH_PROTOCOL...