Book Image

Mastering React Test-Driven Development

By : Daniel Irvine
Book Image

Mastering React Test-Driven Development

By: Daniel Irvine

Overview of this book

Many programmers are aware of TDD but struggle to apply it beyond basic examples. This book teaches how to build complex, real-world applications using Test-Driven Development (TDD). It takes a first principles approach to the TDD process using plain Jest and includes test-driving the integration of libraries including React Router, Redux, and Relay (GraphQL). Readers will practice systematic refactoring while building out their own test framework, gaining a deep understanding of TDD tools and techniques. They will learn how to test-drive features such as client- and server-side form validation, data filtering and searching, navigation and user workflow, undo/redo, animation, LocalStorage access, WebSocket communication, and querying GraphQL endpoints. The book covers refactoring codebases to use the React Router and Redux libraries. via TDD. Redux is explored in depth, with reducers, middleware, sagas, and connected React components. The book also covers acceptance testing using Cucumber and Puppeteer. The book is fully up to date with React 16.9 and has in-depth coverage of hooks and the ‘act’ test helper.
Table of Contents (21 chapters)
Free Chapter
1
Section 1: First Principles of TDD
6
Section 2: Building a Single-Page Application
12
Section 3: Interactivity
16
Section 4: Acceptance Testing with BDD

Filtering and Searching Data

In previous chapters, we built up a single workflow. Application users can add new customers and then add an appointment for that customer. In this chapter, we'll expand on that by allowing them to choose an existing customer before adding an appointment.

The system that we're building has thousands of customers, so a simple dropdown won't cut it. Instead, we'll build a new component, CustomerSearch, which will allow our users to page through a dataset.

The new CustomerSearch component

The server API we'll be working against supports a basic form of paging data that will allow us to build a search facility which can page back and forth between pages without having to load the entire dataset up front.

As we go through this process, we'll simulate the unwanted but common behavior of making a design mistake. We will then...