This context provides a step-by-step guide on how to use the MVVM (Model-View-ViewModel) architectural pattern in Flutter applications, including extending it with Repository and Services.
Abstract
The context begins with an introduction to the MVVM architectural pattern and its advantages, such as separation of concerns, improved testability, defined project structure, parallel development of UI, and abstracting the View. It then explains the components of MVVM, including the Model, View, and ViewModel, as well as the ChangeNotifier class in Flutter. The guide then moves on to implementing MVVM in Flutter using the Provider package for state management, and extends it with Repository and Services for better organization and separation of concerns. The context also covers testing, registering dependencies, and using ViewModel inside View.
Bullet points
Introduction to MVVM architectural pattern and its advantages
Explanation of MVVM components: Model, View, and ViewModel
Introduction to ChangeNotifier class in Flutter
Implementing MVVM in Flutter using Provider package
Extending MVVM with Repository and Services
Testing, registering dependencies, and using ViewModel inside View
Benefits of using DI (Dependency Injection)
Drawbacks of using DI
Using Consumer<T> and Provider.of<T>(context) to access ViewModel inside View
Unit tests for the view model (optional)
What are Services and their purpose
Registering your service using a service locator like GetIt
What is MVVM
Using MVVM in Flutter
Extending MVVM with Repository and Services
Note: The article assumes the reader knows about the Provider.
What is MVVM
Model-View-ViewModel (MVVM) is a software architectural pattern that supports the separation of the UI (which is View) from the development of the business logic or the backend logic (Model). The view model inside MVVM is the bridge responsible for data conversion in a way that behaves by the changes happening on the UI.
In addition, to know about the responsibilities of the three components, it’s also important to understand how they interact. At the highest level, the view “knows about” the view model, and the view model “knows about” the model, but the model is unaware of the view model, and the view model is unaware of the view.
MVVM Architecture
There are several advantages of using MVVM:
Separation of Concerns: It is a design principle for separating a computer program into distinct sections such that each section addresses a separate concern.
A concern is anything that matters in providing a solution to a problem.
Improved testability
Defined project structure
Parallel development of UI
Abstract the View, thus reducing the quantity of business logic required in the code behind it
Some disadvantages of using MVVM:
It has a slightly steep learning curve. How all the layers work together may take some time to understand.
It adds a lot of extra classes, so it’s not ideal for low-complexity projects.
Since architectural or design patterns are platform-agnostic, they can be used with any framework, in our case, Flutter.
Model: This is the domain model or the model which represents the data from your backend (aka data access layer). Models hold information but typically don’t handle behavior. They don’t format information or influence how data appears. The Model in the MVVM design pattern represents the actual data that will be used in application development
View: This is the only part of the application users actually interact with. For instance, the user presses the button, scrolls the list, edits the settings, etc., and these events are then forwarded to the view model, which then does the processing and returns the expected user response (some form of UI). It’s important to remember that the View isn’t responsible for handling the state.
A View should be as dumb as possible. Never put your business logic in Views.
View Model: The ViewModel acts as an intermediate between the View and the Model so that it provides data to the UI. The ViewModel may also expose methods for helping to maintain the View’s state, update the model based on the action’s on a View, and trigger events on the View. For Flutter, we have a listener called ChangeNotifier that allows ViewModel to inform or update the View whenever the data get updated.
The ViewModel has two responsibilities:
it reacts to user inputs (e.g., by changing the model, initiating network requests, or routing to different screens)
it offers output data that the View can subscribe to
In summary, the ViewModel sits behind the UI layer. It exposes data needed by a View and can be viewed as the source our Views go to for both data and actions.
MVVM in Flutter
What is ChangeNotifier?
ChangeNotifier is a class that provides change notifications to its listeners.
A class that can be extended or mixed in that provides a change notification API using VoidCallback for notifications.
It is O(1) for adding listeners and O(N) for removing listeners and dispatching notifications (where N is the number of listeners).
There are several ways to consume the change notifier in Flutter.
Using .addListener method, as the ChangeNotifier is a type of Listenable.
Using the combination of ChangeNotifierProvider, Consumer, and Provider. All these capabilities are provided to us by the Provider package.
We will use the second approach
In the real world, other classes can listen to an ChangeNotifier object. When the change notifier gets updated values, it can call a method called notifyListeners, and then any of its listeners will receive the updated values.
Inside the app, any class that listens to this Person will be notified in case the age changes. Internally, notifyListeners calls the registered listeners.
Flutter is declarative. This means that Flutter builds UI by overriding your build methods to reflect the current state of your app:
UI = fn(state)
According to the Flutter documentation, the state is described as “ data you need to rebuild your UI at any point in time.”
A state can either be contained in a single widget, known as a local state. Flutter provides inbuilt classes and methods to deal with self-contained states like StatefulWidget and setState.
However, a state that has to be shared across different widgets is known as an app state. It is at this point we introduce state management tools.
We will be using Provider for the state management.
Let’s say you were to architect an application that includes only the below screen. How would you do?
Hint: Using MVVM.
Sample Screen
Each screen should comprise its own folder. Create a folder called home which contains a view called home_view
Naming convention: Each screen is called view, and the file is suffixed with _view The view will be listening to the changes happening on the view model, using the Consumer.
Each view should have a view model associated with it. Create a file called home_view_model which will be responsible for accepting the user interactions, processing them by running some business logic, and finally responding back.
Naming convention: Each screen has a view model associated with it, and the file is suffixed with _view_model The view model notifies the changes to the UI (if any) using the notifyListeners.
Assuming the button calls some API (more on that later) and responds with some response. This response should be converted as a model suffixed with _model and returned from the view model to the view.
MVVM Project Structure
This is the basics of MVVM, as seen in the screenshot above. This can be replicated for all the screens of your app. Now, let’s see slight addition on top of this structure.
Extending MVVM with Repository and Services
In the real world, our app needs to interact with APIs or third-party integrated services. So here we introduce something called as Repository .
A repository pattern provides an abstraction of data so that your application can work with a simple abstraction with an interface. Using this pattern can help achieve loose coupling. If implemented correctly, the Repository pattern can be a great way to ensure you follow the Single Responsibility Principle for your data access code
Some benefits of using the Repository pattern:
Separate the business logic for accessing external services.
Makes mocking easier and allows us to do unit tests.
We can easily switch data sources without doing time-consuming code changes
Some disadvantages of using the Repository pattern:
Adds another layer of abstraction which adds a certain level of complexity, making it overkill for small applications.
Continuing with the previous example, let’s say our button needs to call an API. Let’s implement it using Repository pattern.
Dart has no interfaces like Java, but we can create it with an abstract class. We begin by creating an abstract class that defines the interface for our home_repo.
This abstract class helps to create a boundary, and we are free to work on either side of that boundary. We could work on implementing the home repository (recommended), or we could just use the implementation directly in our app (not recommended).
Here, the HomeRepository has only one method, which is fetchData and this method returns the response as a model called CarouselModel
Next, let’s implement the HomeRepository:
Inside the method fetchDatawe introduce a delay and then load the data from the assets, which is a JSON file. This delay is a substitute for calling the API, but I hope I can convey my thoughts to the reader.
As your application grows, you may find yourself adding more and more methods to a given repository. In this scenario, consider creating multiple repositories and keeping related methods together.
Since our repository is ready, we need to figure out how to register it and make it available inside our app. This is when we introduce another concept called DI, aka Dependency Injection. We make use of the package get_it As per the documentation:
This is a simple Service Locator for Dart and Flutter projects with some additional goodies highly inspired by Splat. It can be used instead of InheritedWidget or Provider to access objects e.g. from your UI.
GetIt is super fast because it uses just an Map<Type> inside which makes access to it O(1). GetIt is a singleton, so you can access it from everywhere using its instance property (see below).
We install get_it it by including it inside the pubspec.yaml like this:
dependencies:
get_it: ^7.2.0
Typically at the start of your app, you register the types you want later access from anywhere in your app. After that, you can access instances of the registered types by calling the locator again.
The nice thing is you can register an interface or abstract class together with a concrete implementation. You always ask for the interface/abstract class type when accessing the instance. This makes it easy to switch the implementation by just switching the concrete type at registration time.
We create a file called as locator.dart inside which we will instantiate the object of get_it. Here’s the code:
As Dart supports global variables, we assign the GetIt instance to a global variable to make access to it as easy as possible.
Although GetIt is a singleton, we will assign its instance to a global variable locator to minimize the code for accessing GetIt. Any call to locator in any package of a project will get the same instance of GetIt.
Next, we use the locator and use the registerFactory to register our HomeRepository
Provider as an alternative to GetIt
The provider is a powerful alternative to GetIt. But there are some reasons why people use GetIt for Dependency injection:
Provider needs a BuildContext to access the registered objects, so you can’t use it inside business objects outside the Widget tree or in a pure dart package.
The provider adds its own Widget classes to the widget tree without GUI elements needed to access the in Provider registered objects.
Testing Repository
You can implement unit testing for different elements of your Flutter applications, such as widgets, controllers, models, services, and repositories. It’s possible to unit-test repository-based Flutter codebases with the following strategies:
Implement a mock repository class and test the logic
You don’t need to implement mock classes by yourself — the Mockito package helps you to generate them quickly and automatically.
Integrate Repository in ViewModel
Now comes the time to use the Dependency Injection. But before that, let’s see what it is.
When class A uses some functionality of class B, then its said that class A has a dependency of class B.
Before we can use methods of other classes, we first need to create the object of that class (i.e., class A needs to create an instance of class B).
So, transferring the task of creating the object to someone else and directly using the dependency is called dependency injection.
Dependency Injection
Benefits of using DI
Supports Unit testing.
Boilerplate code is reduced, as initializing of dependencies is done by another component (locator in our case)
Enables loose coupling.
Drawbacks of using DI
It’s complex to learn and, if overused, can lead to management issues and other problems.
Many compile time errors are pushed to run time.
Coming back to our application, let’s see how we integrate.
Here, we create a constructor inside our HomeViewModel and specify the homeRepo as our required parameter. This way, we direct that whosoever needs access to our view model will first have to pass the homeRepo
Initialize the service locator
You need to register the services on app startup so that you can do that in main.dart
Replace the standard
voidmain() => runApp(MyApp());
with the following:
import'locator.dart';
void main() {
// INIT SERVICE LOCATOR setupLocator();
runApp(MyApp());
}
This will register your services with GetIt before the widget tree is built.
And if we recall, our homeRepo was registered inside the locator So to declare our view model, we follow this:
Inside our main we call the setupLocator which is the method that comprises all the registered dependencies under locator.dart
ChangeNotifierProvider creates a ChangeNotifier using create and automatically disposes it when it is removed from the widget tree.
Using ViewModel inside the View
Our repository is registered and passed as a required parameter to our view model. Let’s see how to use the view model inside our view.
There are two ways to access the view model inside the view:
Using the Consumer<T> widget.
Using the Provider.of<T>(context).
We instantiate the viewModel using Provider.of inside the home_view.
The Provider.of<T>(context) is used when you need to access the dependency but you don’t want to make any changes to the User Interface. We simply set the listen: false signifying that we don’t need to listen to updates from the ChangeNotifier. The listen: false parameter is used to specify whenever you're using Provider to fetch an instance and call a method on that instance.
Note: We can also use the following:
viewModel= context.read<HomeViewModel>();
To react to the changes which happen to viewModel we use the Consumer<T> when we want to rebuild the widgets when a value changes. It is a must to provide the type <T> so the Provider can understand which dependency you are referring to.
Consumer<HomeViewModel>(
builder: (_, model, child) {
// YOUR WIDGET
},
child: // SOME EXPENSIVE WIDGET
)
The Consumer widget doesn’t do any fancy work. It just calls Provider. of in a new widget and delegates its build implementation to the builder.
The Consumer widget takes two parameters, the builder parameter and the child parameter (optional). The child parameter is an expensive widget that does not get affected by any Change in the ChangeNotifier.
This builder can be called multiple times (such as when the provided value change), and that is where we can rebuild our UI. The Consumer widget has two main purposes:
It allows obtaining a value from a provider when we don’t have a BuildContext that is a descendant of said provider and, therefore, cannot use Provider. of.
It helps with performance optimization by providing more granular rebuilds.
Unit tests for the view model (Optional)
You can mock dependencies by creating an alternative class implementation using the Mockito package as a shortcut.
MVVM Architecture + Repository
What are Services
Services are normal Dart classes written to do some specialized task in your app. The purpose of a service is to isolate a task, especially volatile third-party packages, and hide its implementation details from the rest of the app.
Some common examples you might create a service to handle:
Using a third-party package, for instance, read and write to local storage (shared preferences)
Using Cloud Providers like Firebase or some other third-party package.
Let’s say you’re using package_info to get the package details of your app.
You use the package directly inside the app, and after some time, you find an even great package. You go through and replace all the references of package_infowith the new package some_great_package. This was surely a waste of your time and effort.
Let’s say the product owners found that no user was using this feature. Instead, they request a new feature. You go through and remove all the references with the some_great_package This was again a waste of your time and effort.
When you have tight coupling to some function scattered around your code, it makes it difficult and error-prone to change.
Clean coding takes upfront time and effort but will save you more time and effort in the long run.
This is where services come in. You make a new class and call it something like PackageInfoService. The rest of the classes in the app don’t know how it works internally. They just call methods on the service to get the result.
This makes it easy to change. If you want to switch package_info to asome_great_package just alter the code inside the service class. Updating the service code automatically affects everywhere the service is used inside the app.
Supports swapping around implementations. You can create a “fake” implementation that returns hard-coded data while the other team is finalizing/developing the service implementation.
Sometimes the implementation may rely on other services. For example, you xyzService might use a service for making a network call to get other types of data.
Register your service
Using a service locator like GetIt is a convenient way to provide services throughout your app
We use the locator to register our PackageInfoService
We will be registering PackageInfoService as a lazy singleton. It only gets initialized when it’s first used. If you want it to be initialized on app startup, then use registerSingleton() it instead. Since it’s a singleton, you’ll always have the same instance of your service.
You can mock dependencies by creating an alternative service class implementation using the Mockito package.
Brief:
A repository is for accessing objects in a collection-like manner.
A service is a class with methods for executing business logic that may coordinate various other services (such as multiple repositories) to perform a single action or get a single result.
Thanks for reading! Stay tuned for more, such as these…