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Clean Android Architecture

Clean Android Architecture

By : Alexandru Dumbravan
4.5 (6)
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Clean Android Architecture

Clean Android Architecture

4.5 (6)
By: Alexandru Dumbravan

Overview of this book

As an application’s code base increases, it becomes harder for developers to maintain existing features and introduce new ones. In this clean architecture book, you'll learn to identify when and how this problem emerges and how to structure your code to overcome it. The book starts by explaining clean architecture principles and Android architecture components and then explores the tools, frameworks, and libraries involved. You’ll learn how to structure your application in the data and domain layers, the technologies that go in each layer, and the role that each layer plays in keeping your application clean. You’ll understand how to arrange the code into these two layers and the components involved in assembling them. Finally, you'll cover the presentation layer and the patterns that can be applied to have a decoupled and testable code base. By the end of this architecture book, you'll be able to build an application following clean architecture principles and have the knowledge you need to maintain and test the application easily.
Table of Contents (15 chapters)
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1
Part 1 – Introduction
6
Part 2 – Domain and Data Layers
10
Part 3 – Presentation Layer

Building and using remote data sources

In this section, we will look at how we can build remote data sources and how we can use them in combination with Retrofit to fetch and manipulate data from the internet.

In the previous chapters, we defined abstractions for data sources that repositories depend on to manipulate data. This was because we wanted to avoid the repositories having dependencies on the data sources and instead have the data sources depend on the repositories. For remote data sources, this looks something like the following figure:

Figure 7.1 – A remote data source class diagram

The implementation of the remote data source has two roles. It will invoke the networking layer to fetch and manipulate data, and it will convert the data to either the domain entity or, if necessary, intermediary data required by the repository.

Let's look at the entity defined in the previous chapters:

data class User(
    ...

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