Book Image

Learn Kotlin Programming - Second Edition

By : Stephen Samuel, Stefan Bocutiu
Book Image

Learn Kotlin Programming - Second Edition

By: Stephen Samuel, Stefan Bocutiu

Overview of this book

Kotlin is a general-purpose programming language used for developing cross-platform applications. Complete with a comprehensive introduction and projects covering the full set of Kotlin programming features, this book will take you through the fundamentals of Kotlin and get you up to speed in no time. Learn Kotlin Programming covers the installation, tools, and how to write basic programs in Kotlin. You'll learn how to implement object-oriented programming in Kotlin and easily reuse your program or parts of it. The book explains DSL construction, serialization, null safety aspects, and type parameterization to help you build robust apps. You'll learn how to destructure expressions and write your own. You'll then get to grips with building scalable apps by exploring advanced topics such as testing, concurrency, microservices, coroutines, and Kotlin DSL builders. Furthermore, you'll be introduced to the kotlinx.serialization framework, which is used to persist objects in JSON, Protobuf, and other formats. By the end of this book, you'll be well versed with all the new features in Kotlin and will be able to build robust applications skillfully.
Table of Contents (21 chapters)
Free Chapter
1
Section 1: Fundamental Concepts in Kotlin
5
Section 2: Practical Concepts in Kotlin
15
Section 3: Advanced Concepts in Kotlin

Validation and error accumulation

To round up our introduction to functional programming, we'll cover another common pattern, that of error accumulation. This is also sometimes simply referred to as validation.

The idea is that we have a series of functions that individually error check a value. They can return some kind of success value if the input is good, and some kind of error value if the input is bad. These individual functions are then combined, retaining all the errors (if any). Finally, we can interrogate the accumulation to get the errors.

Let's start by modeling the good and bad values that we can use. We'll call them Valid and Invalid, respectively. They will both extend from a superclass called Validation:

    sealed class Validation 
    object Valid : Validation() 
    class Invalid(val errors: List<String>) : Validation() 

Note that the Invalid...