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Flutter App Architecture: The Domain Model

Have you ever mixed up your UI, business logic and networking code into one messy bundle of spaghetti code?

I know I did. ✋

After all, real-world app development is hard.

Books such as Domain-Driven Design (DDD) have been written to help us develop complex software projects.

And at the heart of DDD lies the model, which captures important knowledge and concepts that are needed to solve the problem at hand. And having a good domain model can make all the difference between the success or failure of a software project.

Models are very important but they cannot live in isolation. Even the simplest of apps requires some UI (what the user sees and interacts with) and needs to communicate with external APIs to show some meaningful information.

Flutter Layered Architecture

In this context, it's often valuable to adopt a layered architecture, introducing a clear separation of concerns between different parts of the system. And this makes our code easier to read, maintain and test.

Broadly speaking, four different layers are normally identified:

  • presentation layer
  • application layer
  • domain layer
  • data layer
Flutter App Architecture using data, domain, application, and presentation layers.
Flutter App Architecture using data, domain, application, and presentation layers.

The data layer sits at the bottom and contains the repositories that are used to talk to external data sources.

To learn more about the data layer and the repository pattern, read this article: Flutter App Architecture: The Repository Pattern.

Just above it, we find the domain and application layers. These layers are very important as they hold all the models and business logic of our app.

In this article, we'll focus on the domain layer, using an eCommerce application as a practical example. As part of this, we will learn:

  • what is a domain model
  • how to define entities and represent them as data classes in Dart
  • how to add business logic to our model classes
  • how to write unit tests for that business logic

Ready? Let's go!

What is a Domain Model?

Wikipedia defines the domain model like this:

The domain model is a conceptual model of the domain that incorporates both behavior and data.

The data can be represented by a set of entities along with their relationships, while the behavior is encoded by some business logic for manipulating those entities.

Using an eCommerce application as an example, we could identify the following entities:

  • User: ID and email
  • Product: ID, image URL, title, price, available quantity etc.
  • Item: Product ID and quantity
  • Cart: List of items, total
  • Order: List of items, price paid, status, paymente details etc.
eCommerce app: entities and their relationships
eCommerce app: entities and their relationships

When practicing DDD, entities and relationships are not something we produce out of thin air, but rather the end result of a (sometimes long) knowledge discovery process. As part of the process, a domain vocabulary is also formalized and used by all parties.

Note how at this stage we are not concerned about where these entities come from or how they are passed around in the system.

What's important is that our entities are at the heart of our system, because we need them to solve domain-related problems for our users.

In DDD, a distinction is often made between entities and value objects. For more info, see this thread about Value vs Entity objects on StackOverflow.

Of course, once we start building our app we need to implement those entities and decide where they fit within our architecture.

And this is where the domain layer comes in.

Going forward, we will refer to entities as models that can be implemented as simple classes in Dart.

The Domain Layer

Let's revisit our architecture diagram:

Flutter App Architecture using data, domain, application, and presentation layers.
Flutter App Architecture using data, domain, application, and presentation layers.

As we can see, the models belong to the domain layer. They are retrieved by the repositories in the data layer below, and can be modified by the services in the application layer above.

So how do these models look like in Dart?

Well, let's consider a Product model class for example:

/// The ProductID is an important concept in our domain /// so it deserves a type of its own typedef ProductID = String; class Product { Product({ required, required this.imageUrl, required this.title, required this.price, required this.availableQuantity, }); final ProductID id; final String imageUrl; final String title; final double price; final int availableQuantity; // serialization code factory Product.fromMap(Map<String, dynamic> map, ProductID id) { ... } Map<String, dynamic> toMap() { ... } }

At a very minimum, this class holds all the properties that we need to show in the UI:

Product card using all the properties from our model class.
Product card using all the properties from our model class.

And it also contains fromMap() and toMap() methods that are used for serialization.

There are various ways to define model classes and their serialization logic in Dart. For more info, see my essential guide to JSON parsing in Dart and the follow up article about code generation using Freezed.

Note how the Product model is a simple data classes that doesn't have access to repositories, services, or other objects that belong outside the domain layer.

Business logic in the Model classes

Model classes can however include some business logic to express how they are meant to be modified.

To illustrate this, let's consider a Cart model class instead:

class Cart { const Cart([this.items = const {}]); /// All the items in the shopping cart, where: /// - key: product ID /// - value: quantity final Map<ProductID, int> items; factory Cart.fromMap(Map<String, dynamic> map) { ... } Map<String, dynamic> toMap() { ... } }

This is implemented as a map of key-value pairs representing the product IDs and quantities of the items that we have added to the shopping cart.

And since we can add and remove items from the cart, it may be useful to define an extension that makes this task easier:

/// Helper extension used to update the items in the shopping cart. extension MutableCart on Cart { Cart addItem({required ProductID productId, required int quantity}) { final copy = Map<ProductID, int>.from(items); if (copy.containsKey(productId)) { copy[productId] = quantity + copy[productId]!; } else { copy[productId] = quantity; } return Cart(copy); } Cart removeItemById(ProductID productId) { final copy = Map<ProductID, int>.from(items); copy.remove(productId); return Cart(copy); } }

The methods above make a copy of the items in the cart (using Map.from()), modify the values inside, and return a new immutable Cart object that can be used to update the underlying data store (via the corresponding repository).

Many state management solutions rely on immutable objects in order to propagate state changes and ensure that our widgets rebuild only when they should. The rule is that whenever we need to mutate state in our models, we should do so by making a new, immutable copy.

Testing the Business Logic inside our Models

Note how the Cart class and its MutableCart extension don't have dependencies to any objects that live outside the domain layer.

This makes them very easy to test.

To prove this point, here's a set of unit tests that we can write to verify the logic in the addItem() method:

void main() { group('add item', () { test('empty cart - add item', () { final cart = const Cart() .addItem(productId: '1', quantity: 1); expect(cart.items, {'1': 1}); }); test('empty cart - add two items', () { final cart = const Cart() .addItem(productId: '1', quantity: 1) .addItem(productId: '2', quantity: 1); expect(cart.items, { '1': 1, '2': 1, }); }); test('empty cart - add same item twice', () { final cart = const Cart() .addItem(productId: '1', quantity: 1) .addItem(productId: '1', quantity: 1); expect(cart.items, {'1': 2}); }); }); }

Writing unit tests for our business logic is not only easy, but adds a lot of value.

If our business logic is incorrect, we are guaranteed to have bugs in our app. So we have every incentive to make it easy to test, by ensuring our model classes don't have any dependencies.


We have discussed the importance of having a good mental model of our system.

We've also seen how to represent our models/entities as immutable data classes in Dart, along with any business logic we may need to modify them.

And we've seen how to write some simple unit tests for that business logic, without resorting to mocks or any complex test setup.

Here are some tips you may use as you design and build your apps:

  • explore the domain model and figure out what concepts and behaviors you need to represent
  • express those concepts as entities along with their relationships
  • implement the corresponding Dart model classes
  • translate the behaviors into working code (business logic) that operates on those model classes
  • add unit tests to verify the behaviors are implemented correctly

As you do that, think about what data you need to show in the UI and how the user will interact with it.

But don't worry about how things connect together just yet. In fact, it's the job of the services in the application layer to work with the models by mediating between the repositories in the data layer and the controllers in the presentation layer.

And that will be the subject of a future article.

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