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Remember from the previous part we already have Dagger 2 implemented inside the project correctly. So I used it for the Retrofit setup. Now as you see, Retrofit is separated from the activity class as it should be. It will be initialized only once and used app-wide. As you may have noticed while creating the Retrofit builder instance, we added a special Retrofit calls adapter using addCallAdapterFactory. Another important step to make is to start using the Repository pattern.
I have talked about it in Part 3. Check out our MVVM architecture schema from that post to remember where it goes. As you see in the picture, Repository is a separate layer for the data. When we use Repository, we are following the separation of concerns principle. We can have different data sources like in our case persistent data from an SQLite database and data from web services , but Repository is always going to be single source of truth for all app data.
Instead of communicating with our Retrofit implementation directly, we are going to use Repository for that. For each kind of entity, we are going to have a separate Repository. What is it and why do we need it? NetworkBoundResource is a small but very important helper class that will allow us to maintain a synchronization between the local database and the web service. Our goal is to build a modern application that will work smoothly even when our device is offline.
Also with the help of this class we will be able to present different network states like errors or loading for the user visually. NetworkBoundResource starts by observing the database for the resource. When the entry is loaded from the database for the first time, it checks whether the result is good enough to be dispatched or if it should be re-fetched from the network. Note that both of these situations can happen at the same time, given that you probably want to show cached data while updating it from the network.
If the network call completes successfully, it saves the response into the database and re-initializes the stream. If the network request fails, the NetworkBoundResource dispatches a failure directly. Here we have two LiveData sources: the database and the network call response. Imagine the user will launch the app and click on a floating action button on the bottom right corner.
The app will launch the add crypto coins screen. Now we can analyze NetworkBoundResource 's usage inside it. If the app is freshly installed and it is its first launch, then there will not be any data stored inside the local database. Because there is no data to show, a loading progress bar UI will be shown. Meanwhile the app is going to make a request call to the server via a web service to get all the cryptocurrencies list.
If the response is unsuccessful then the error message UI will be shown with the ability to retry a call by pressing a button. When a request call is successful at last, then the response data will be saved to a local SQLite database.
If we come back to the same screen the next time, the app will load data from the database instead of making a call to the internet again. But the user can ask for a new data update by implementing pull-to-refresh functionality. Old data information will be shown whilst the network call is happening.
All this is done with the help of NetworkBoundResource. Actually ApiResponse is just a simple common wrapper around the Retrofit2. Response class that converts each response to an instance of LiveData. Inside this wrapper class, if our response has an error, we use the Gson library to convert the error to a JSON object. Sounds like a complicated library which offers many useful features that you would not want to develop all by yourself.
In My Crypto Coins app, we have several list screens where we need to show multiple cryptocurrency logos — pictures taken from the internet all at once — and still ensure a smooth scrolling experience for the user. So this library fits our needs perfectly. Also this library is very popular among Android developers.
Get the latest Glide version. Again versions is a separate file versions. Because we want to use the networking library OkHttp in our project for all network operations, we need to include the specific Glide integration for it instead of the default one. Glide v4, which we will be using, offers a generated API for Applications. Even if our application is not changing any additional settings or implementing any methods in AppGlideModule , we still need to have its implementation to use Glide.
You can leave the class blank as long as it extends AppGlideModule and is annotated with GlideModule. This is the code that shows how I have used Glide to load and show cryptocurrency logos in the add crypto coins screen all cryptocurrencies list. As you see, you can start using Glide with just few lines of code and let it do all the hard work for you.
It is pretty straightforward. While building this app, we are going to face situations when we will run time consuming tasks such as writing data to a database or reading from it, fetching data from the network and other. The main thread is a single thread that handles all updates to the UI. Developers are required not to block it to avoid the app freezing or even crashing with an Application Not Responding dialog.
Kotlin coroutines is going to solve this problem for us by introducing main thread safety. It is the last missing piece that we want to add for My Crypto Coins app. Coroutines are a Kotlin feature that convert async callbacks for long-running tasks, such as database or network access, into sequential code. With coroutines, you can write asynchronous code, which was traditionally written using the Callback pattern, using a synchronous style.
The return value of a function will provide the result of the asynchronous call. Code written sequentially is typically easier to read, and can even use language features such as exceptions. So we are going to use coroutines everywhere in this app where we need to wait until a result is available from a long-running task and than continue execution.
Then we will create abstract class which will become the base class to be used for any ViewModel that needs to have common functionality like coroutines in our case:. Here we create specific coroutine scope, which will control the lifetime of coroutines through its job. As you see, scope allows you to specify a default dispatcher that controls which thread runs a coroutine. When the ViewModel is no longer used, we cancel viewModelJob and with that every coroutine started by uiScope will be cancelled as well.
Here we call a function marked with a special Kotlin keyword suspend for coroutines. This means that the function suspends execution until the result is ready, then it resumes where it left off with the result. While it is suspended waiting for a result, it unblocks the thread that it is running on.
Also, in one suspend function we can call another suspend function. As you see we do that by calling new suspend function marked withContext that is executed on different thread. The idea of all this code is that we can combine multiple calls to form nice-looking sequential code. First we request to get the ids of the cryptocurrencies we own from the local database and wait for the response. Only after we get it do we use the response ids to make a new call with Retrofit to get those updated cryptocurrency values.
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