Architecture: Designing the Data Layer in Flutter Architecture


Introduction
Introduction
Introduction
Introduction
In modern Flutter app development, a well-structured data layer is critical for maintaining clean separation between business logic and UI components. This blog dives deep into the architecture of the data layer in Flutter, covering how it serves as a bridge between your app’s front and external/internal data sources. From API integration to local database access, and from data transformation to caching strategies, you’ll learn how to handle all data-related concerns in a maintainable way.
This blog explores the role of the data layer in Flutter architecture, how it handles API communication, local storage, and transforms data before passing it to the UI or business logic layers.
We’ll also explore the repository pattern, DTO conversions, and best practices for managing dependencies between layers. Whether you're working on a production app or just learning architecture patterns, this guide will help you build a robust and testable data layer in Flutter.
Let’s dive into Flutter’s data layer and build a scalable, clean architecture that’s ready for real-world apps, line by line!
In modern Flutter app development, a well-structured data layer is critical for maintaining clean separation between business logic and UI components. This blog dives deep into the architecture of the data layer in Flutter, covering how it serves as a bridge between your app’s front and external/internal data sources. From API integration to local database access, and from data transformation to caching strategies, you’ll learn how to handle all data-related concerns in a maintainable way.
This blog explores the role of the data layer in Flutter architecture, how it handles API communication, local storage, and transforms data before passing it to the UI or business logic layers.
We’ll also explore the repository pattern, DTO conversions, and best practices for managing dependencies between layers. Whether you're working on a production app or just learning architecture patterns, this guide will help you build a robust and testable data layer in Flutter.
Let’s dive into Flutter’s data layer and build a scalable, clean architecture that’s ready for real-world apps, line by line!
In modern Flutter app development, a well-structured data layer is critical for maintaining clean separation between business logic and UI components. This blog dives deep into the architecture of the data layer in Flutter, covering how it serves as a bridge between your app’s front and external/internal data sources. From API integration to local database access, and from data transformation to caching strategies, you’ll learn how to handle all data-related concerns in a maintainable way.
This blog explores the role of the data layer in Flutter architecture, how it handles API communication, local storage, and transforms data before passing it to the UI or business logic layers.
We’ll also explore the repository pattern, DTO conversions, and best practices for managing dependencies between layers. Whether you're working on a production app or just learning architecture patterns, this guide will help you build a robust and testable data layer in Flutter.
Let’s dive into Flutter’s data layer and build a scalable, clean architecture that’s ready for real-world apps, line by line!
In modern Flutter app development, a well-structured data layer is critical for maintaining clean separation between business logic and UI components. This blog dives deep into the architecture of the data layer in Flutter, covering how it serves as a bridge between your app’s front and external/internal data sources. From API integration to local database access, and from data transformation to caching strategies, you’ll learn how to handle all data-related concerns in a maintainable way.
This blog explores the role of the data layer in Flutter architecture, how it handles API communication, local storage, and transforms data before passing it to the UI or business logic layers.
We’ll also explore the repository pattern, DTO conversions, and best practices for managing dependencies between layers. Whether you're working on a production app or just learning architecture patterns, this guide will help you build a robust and testable data layer in Flutter.
Let’s dive into Flutter’s data layer and build a scalable, clean architecture that’s ready for real-world apps, line by line!
Purpose of the Data Layer in Flutter
Purpose of the Data Layer in Flutter
Purpose of the Data Layer in Flutter
Purpose of the Data Layer in Flutter
In Flutter architecture, the data layer plays a vital role, it is the single source of truth for all application data. Often referred to as the Model in MVVM architecture, this layer is the only place where data should be updated, ensuring consistency and avoiding unintended side effects in other parts of the app.

The data layer is responsible for:
Fetching and updating data from external APIs.
Handling user-triggered events that require data changes.
Exposing updated data to the UI in a reactive and structured manner.
By centralizing all data access and mutation here, your app becomes easier to test, maintain, and scale.
To keep this layer clean and organized, Flutter apps typically divide it into repositories and services:
Repositories manage application data and handle business logic like caching, offline support, and syncing with APIs.
Services are stateless classes that make direct API calls (e.g., HTTP requests or platform plugins) and return raw data.
Together, these components ensure that data flows into your app in a controlled, testable, and reliable way.
In Flutter architecture, the data layer plays a vital role, it is the single source of truth for all application data. Often referred to as the Model in MVVM architecture, this layer is the only place where data should be updated, ensuring consistency and avoiding unintended side effects in other parts of the app.

The data layer is responsible for:
Fetching and updating data from external APIs.
Handling user-triggered events that require data changes.
Exposing updated data to the UI in a reactive and structured manner.
By centralizing all data access and mutation here, your app becomes easier to test, maintain, and scale.
To keep this layer clean and organized, Flutter apps typically divide it into repositories and services:
Repositories manage application data and handle business logic like caching, offline support, and syncing with APIs.
Services are stateless classes that make direct API calls (e.g., HTTP requests or platform plugins) and return raw data.
Together, these components ensure that data flows into your app in a controlled, testable, and reliable way.
In Flutter architecture, the data layer plays a vital role, it is the single source of truth for all application data. Often referred to as the Model in MVVM architecture, this layer is the only place where data should be updated, ensuring consistency and avoiding unintended side effects in other parts of the app.

The data layer is responsible for:
Fetching and updating data from external APIs.
Handling user-triggered events that require data changes.
Exposing updated data to the UI in a reactive and structured manner.
By centralizing all data access and mutation here, your app becomes easier to test, maintain, and scale.
To keep this layer clean and organized, Flutter apps typically divide it into repositories and services:
Repositories manage application data and handle business logic like caching, offline support, and syncing with APIs.
Services are stateless classes that make direct API calls (e.g., HTTP requests or platform plugins) and return raw data.
Together, these components ensure that data flows into your app in a controlled, testable, and reliable way.
In Flutter architecture, the data layer plays a vital role, it is the single source of truth for all application data. Often referred to as the Model in MVVM architecture, this layer is the only place where data should be updated, ensuring consistency and avoiding unintended side effects in other parts of the app.

The data layer is responsible for:
Fetching and updating data from external APIs.
Handling user-triggered events that require data changes.
Exposing updated data to the UI in a reactive and structured manner.
By centralizing all data access and mutation here, your app becomes easier to test, maintain, and scale.
To keep this layer clean and organized, Flutter apps typically divide it into repositories and services:
Repositories manage application data and handle business logic like caching, offline support, and syncing with APIs.
Services are stateless classes that make direct API calls (e.g., HTTP requests or platform plugins) and return raw data.
Together, these components ensure that data flows into your app in a controlled, testable, and reliable way.
What Is a Service in Flutter Architecture?
What Is a Service in Flutter Architecture?
What Is a Service in Flutter Architecture?
What Is a Service in Flutter Architecture?
In a Flutter app's architecture, a service is one of the simplest components to understand. It's a stateless class with clear responsibilities. Its only job is to talk to the outside world, like an HTTP API or a platform-specific plugin, and return data to the app.
Unlike other layers that might hold state or respond to user interactions, service classes simply wrap up API calls. They don’t manage caching, don’t track user state, and don’t know what the UI looks like. This makes services easy to write, test, and reuse.

A good rule of thumb is to create one service class for each data source. For example, if your app communicates with a backend server, you might have an ApiClient
service that handles all HTTP requests.
Let’s look at an example from the Compass app. Here’s a simplified version of its ApiClient
class:
class ApiClient {
// Some code omitted for demo purposes.
Future<Result<List<ContinentApiModel>>> getContinents() async { /* ... */ }
Future<Result<List<DestinationApiModel>>> getDestinations() async { /* ... */ }
Future<Result<List<ActivityApiModel>>> getActivityByDestination(String ref) async { /* ... */ }
Future<Result<List<BookingApiModel>>> getBookings() async { /* ... */ }
Future<Result<BookingApiModel>> getBooking(int id) async { /* ... */ }
Future<Result<BookingApiModel>> postBooking(BookingApiModel booking) async { /* ... */ }
Future<Result<void>> deleteBooking(int id) async { /* ... */ }
Future<Result<UserApiModel>> getUser() async { /* ... */
Each method in the service maps directly to an API endpoint. It returns a Future
containing the result of the operation, which could be a list of destinations, a user profile, or even just a success confirmation.
By isolating external communication in one place, your app stays clean, modular, and easier to test. Services give your architecture a reliable bridge between your Flutter code and the outside world.
In a Flutter app's architecture, a service is one of the simplest components to understand. It's a stateless class with clear responsibilities. Its only job is to talk to the outside world, like an HTTP API or a platform-specific plugin, and return data to the app.
Unlike other layers that might hold state or respond to user interactions, service classes simply wrap up API calls. They don’t manage caching, don’t track user state, and don’t know what the UI looks like. This makes services easy to write, test, and reuse.

A good rule of thumb is to create one service class for each data source. For example, if your app communicates with a backend server, you might have an ApiClient
service that handles all HTTP requests.
Let’s look at an example from the Compass app. Here’s a simplified version of its ApiClient
class:
class ApiClient {
// Some code omitted for demo purposes.
Future<Result<List<ContinentApiModel>>> getContinents() async { /* ... */ }
Future<Result<List<DestinationApiModel>>> getDestinations() async { /* ... */ }
Future<Result<List<ActivityApiModel>>> getActivityByDestination(String ref) async { /* ... */ }
Future<Result<List<BookingApiModel>>> getBookings() async { /* ... */ }
Future<Result<BookingApiModel>> getBooking(int id) async { /* ... */ }
Future<Result<BookingApiModel>> postBooking(BookingApiModel booking) async { /* ... */ }
Future<Result<void>> deleteBooking(int id) async { /* ... */ }
Future<Result<UserApiModel>> getUser() async { /* ... */
Each method in the service maps directly to an API endpoint. It returns a Future
containing the result of the operation, which could be a list of destinations, a user profile, or even just a success confirmation.
By isolating external communication in one place, your app stays clean, modular, and easier to test. Services give your architecture a reliable bridge between your Flutter code and the outside world.
In a Flutter app's architecture, a service is one of the simplest components to understand. It's a stateless class with clear responsibilities. Its only job is to talk to the outside world, like an HTTP API or a platform-specific plugin, and return data to the app.
Unlike other layers that might hold state or respond to user interactions, service classes simply wrap up API calls. They don’t manage caching, don’t track user state, and don’t know what the UI looks like. This makes services easy to write, test, and reuse.

A good rule of thumb is to create one service class for each data source. For example, if your app communicates with a backend server, you might have an ApiClient
service that handles all HTTP requests.
Let’s look at an example from the Compass app. Here’s a simplified version of its ApiClient
class:
class ApiClient {
// Some code omitted for demo purposes.
Future<Result<List<ContinentApiModel>>> getContinents() async { /* ... */ }
Future<Result<List<DestinationApiModel>>> getDestinations() async { /* ... */ }
Future<Result<List<ActivityApiModel>>> getActivityByDestination(String ref) async { /* ... */ }
Future<Result<List<BookingApiModel>>> getBookings() async { /* ... */ }
Future<Result<BookingApiModel>> getBooking(int id) async { /* ... */ }
Future<Result<BookingApiModel>> postBooking(BookingApiModel booking) async { /* ... */ }
Future<Result<void>> deleteBooking(int id) async { /* ... */ }
Future<Result<UserApiModel>> getUser() async { /* ... */
Each method in the service maps directly to an API endpoint. It returns a Future
containing the result of the operation, which could be a list of destinations, a user profile, or even just a success confirmation.
By isolating external communication in one place, your app stays clean, modular, and easier to test. Services give your architecture a reliable bridge between your Flutter code and the outside world.
In a Flutter app's architecture, a service is one of the simplest components to understand. It's a stateless class with clear responsibilities. Its only job is to talk to the outside world, like an HTTP API or a platform-specific plugin, and return data to the app.
Unlike other layers that might hold state or respond to user interactions, service classes simply wrap up API calls. They don’t manage caching, don’t track user state, and don’t know what the UI looks like. This makes services easy to write, test, and reuse.

A good rule of thumb is to create one service class for each data source. For example, if your app communicates with a backend server, you might have an ApiClient
service that handles all HTTP requests.
Let’s look at an example from the Compass app. Here’s a simplified version of its ApiClient
class:
class ApiClient {
// Some code omitted for demo purposes.
Future<Result<List<ContinentApiModel>>> getContinents() async { /* ... */ }
Future<Result<List<DestinationApiModel>>> getDestinations() async { /* ... */ }
Future<Result<List<ActivityApiModel>>> getActivityByDestination(String ref) async { /* ... */ }
Future<Result<List<BookingApiModel>>> getBookings() async { /* ... */ }
Future<Result<BookingApiModel>> getBooking(int id) async { /* ... */ }
Future<Result<BookingApiModel>> postBooking(BookingApiModel booking) async { /* ... */ }
Future<Result<void>> deleteBooking(int id) async { /* ... */ }
Future<Result<UserApiModel>> getUser() async { /* ... */
Each method in the service maps directly to an API endpoint. It returns a Future
containing the result of the operation, which could be a list of destinations, a user profile, or even just a success confirmation.
By isolating external communication in one place, your app stays clean, modular, and easier to test. Services give your architecture a reliable bridge between your Flutter code and the outside world.
Defining a Repository in Flutter Architecture
Defining a Repository in Flutter Architecture
Defining a Repository in Flutter Architecture
Defining a Repository in Flutter Architecture
A repository is a core part of the data layer. Its main responsibility is to manage application data of a specific type. Think of it as the one trusted place in your app where that particular data lives and gets updated. This makes the repository the source of truth for that data.
Repositories do more than just store data. They handle tasks like fetching new data from APIs, retrying failed requests, managing cached versions of the data, and converting raw responses into structured models your app can actually use.
In most real-world apps, you should have a separate repository for each major type of data. For example, the Compass app uses dedicated repositories like UserRepository
, AuthRepository
, BookingRepository
, and DestinationRepository
—each with its own role.
Here’s a simplified version of the BookingRepositoryRemote
used in Compass:
class BookingRepositoryRemote implements BookingRepository {
BookingRepositoryRemote({
required ApiClient apiClient,
}) : _apiClient = apiClient;
final ApiClient _apiClient;
List<Destination>? _cachedDestinations;
Future<Result<void>> createBooking(Booking booking) async {...}
Future<Result<Booking>> getBooking(int id) async {...}
Future<Result<List<BookingSummary>>> getBookingsList() async {...}
Future<Result<void>> delete(int id) async {...}
}
In this example, the BookingRepositoryRemote
class communicates with a remote server using an ApiClient
. This helps the app perform actions like creating or deleting bookings or retrieving booking lists from the backend.
The key idea here is abstraction. The repository knows how to work with services like ApiClient
, but it keeps that logic hidden from the UI layer. This avoids tight coupling and improves testability.
You can even have multiple versions of a repository for different environments. For instance, BookingRepositoryLocal
it might be used in development, while BookingRepositoryRemote
it is used in production. Both share the same interface but fetch data differently.

Lastly, keep in mind that repositories and services often have a many-to-many relationship. A repository might rely on several services to collect data, while a single service might support multiple repositories.
A repository is a core part of the data layer. Its main responsibility is to manage application data of a specific type. Think of it as the one trusted place in your app where that particular data lives and gets updated. This makes the repository the source of truth for that data.
Repositories do more than just store data. They handle tasks like fetching new data from APIs, retrying failed requests, managing cached versions of the data, and converting raw responses into structured models your app can actually use.
In most real-world apps, you should have a separate repository for each major type of data. For example, the Compass app uses dedicated repositories like UserRepository
, AuthRepository
, BookingRepository
, and DestinationRepository
—each with its own role.
Here’s a simplified version of the BookingRepositoryRemote
used in Compass:
class BookingRepositoryRemote implements BookingRepository {
BookingRepositoryRemote({
required ApiClient apiClient,
}) : _apiClient = apiClient;
final ApiClient _apiClient;
List<Destination>? _cachedDestinations;
Future<Result<void>> createBooking(Booking booking) async {...}
Future<Result<Booking>> getBooking(int id) async {...}
Future<Result<List<BookingSummary>>> getBookingsList() async {...}
Future<Result<void>> delete(int id) async {...}
}
In this example, the BookingRepositoryRemote
class communicates with a remote server using an ApiClient
. This helps the app perform actions like creating or deleting bookings or retrieving booking lists from the backend.
The key idea here is abstraction. The repository knows how to work with services like ApiClient
, but it keeps that logic hidden from the UI layer. This avoids tight coupling and improves testability.
You can even have multiple versions of a repository for different environments. For instance, BookingRepositoryLocal
it might be used in development, while BookingRepositoryRemote
it is used in production. Both share the same interface but fetch data differently.

Lastly, keep in mind that repositories and services often have a many-to-many relationship. A repository might rely on several services to collect data, while a single service might support multiple repositories.
A repository is a core part of the data layer. Its main responsibility is to manage application data of a specific type. Think of it as the one trusted place in your app where that particular data lives and gets updated. This makes the repository the source of truth for that data.
Repositories do more than just store data. They handle tasks like fetching new data from APIs, retrying failed requests, managing cached versions of the data, and converting raw responses into structured models your app can actually use.
In most real-world apps, you should have a separate repository for each major type of data. For example, the Compass app uses dedicated repositories like UserRepository
, AuthRepository
, BookingRepository
, and DestinationRepository
—each with its own role.
Here’s a simplified version of the BookingRepositoryRemote
used in Compass:
class BookingRepositoryRemote implements BookingRepository {
BookingRepositoryRemote({
required ApiClient apiClient,
}) : _apiClient = apiClient;
final ApiClient _apiClient;
List<Destination>? _cachedDestinations;
Future<Result<void>> createBooking(Booking booking) async {...}
Future<Result<Booking>> getBooking(int id) async {...}
Future<Result<List<BookingSummary>>> getBookingsList() async {...}
Future<Result<void>> delete(int id) async {...}
}
In this example, the BookingRepositoryRemote
class communicates with a remote server using an ApiClient
. This helps the app perform actions like creating or deleting bookings or retrieving booking lists from the backend.
The key idea here is abstraction. The repository knows how to work with services like ApiClient
, but it keeps that logic hidden from the UI layer. This avoids tight coupling and improves testability.
You can even have multiple versions of a repository for different environments. For instance, BookingRepositoryLocal
it might be used in development, while BookingRepositoryRemote
it is used in production. Both share the same interface but fetch data differently.

Lastly, keep in mind that repositories and services often have a many-to-many relationship. A repository might rely on several services to collect data, while a single service might support multiple repositories.
A repository is a core part of the data layer. Its main responsibility is to manage application data of a specific type. Think of it as the one trusted place in your app where that particular data lives and gets updated. This makes the repository the source of truth for that data.
Repositories do more than just store data. They handle tasks like fetching new data from APIs, retrying failed requests, managing cached versions of the data, and converting raw responses into structured models your app can actually use.
In most real-world apps, you should have a separate repository for each major type of data. For example, the Compass app uses dedicated repositories like UserRepository
, AuthRepository
, BookingRepository
, and DestinationRepository
—each with its own role.
Here’s a simplified version of the BookingRepositoryRemote
used in Compass:
class BookingRepositoryRemote implements BookingRepository {
BookingRepositoryRemote({
required ApiClient apiClient,
}) : _apiClient = apiClient;
final ApiClient _apiClient;
List<Destination>? _cachedDestinations;
Future<Result<void>> createBooking(Booking booking) async {...}
Future<Result<Booking>> getBooking(int id) async {...}
Future<Result<List<BookingSummary>>> getBookingsList() async {...}
Future<Result<void>> delete(int id) async {...}
}
In this example, the BookingRepositoryRemote
class communicates with a remote server using an ApiClient
. This helps the app perform actions like creating or deleting bookings or retrieving booking lists from the backend.
The key idea here is abstraction. The repository knows how to work with services like ApiClient
, but it keeps that logic hidden from the UI layer. This avoids tight coupling and improves testability.
You can even have multiple versions of a repository for different environments. For instance, BookingRepositoryLocal
it might be used in development, while BookingRepositoryRemote
it is used in production. Both share the same interface but fetch data differently.

Lastly, keep in mind that repositories and services often have a many-to-many relationship. A repository might rely on several services to collect data, while a single service might support multiple repositories.
Domain Models in the Data Layer
Domain Models in the Data Layer
Domain Models in the Data Layer
Domain Models in the Data Layer
In Flutter architecture, domain models are the refined data structures your app uses. Unlike raw API models that often contain extra or nested fields, domain models are simplified, relevant, and purpose-built for the rest of the app, especially the UI and view models.
Each repository is responsible for transforming the raw response it receives from an API into a clean domain model. For example, the BookingRepository
doesn't expose raw API data. Instead, it returns objects like Booking
or BookingSummary
that are structured specifically for app use. This separation ensures that your business logic stays clean and focused.
In the sample app, the getBooking
method fetches raw data from the ApiClient
and combines multiple responses to form a Booking
domain object. This method filters out unnecessary details and builds a structure that the UI can easily consume.
Here’s a simplified version of how that logic works:
Future<Result<Booking>> getBooking(int id) async {
try {
final resultBooking = await _apiClient.getBooking(id);
if (resultBooking is Error<BookingApiModel>) {
return Result.error(resultBooking.error);
}
final booking = resultBooking.asOk.value;
final destination = _apiClient.getDestination(booking.destinationRef);
final activities = _apiClient.getActivitiesForBooking(booking.activitiesRef);
return Result.ok(
Booking(
startDate: booking.startDate,
endDate: booking.endDate,
destination: destination,
activity: activities,
),
);
} catch (e) {
return Result.error(e);
}
}
This approach makes your code more maintainable, improves testability, and reduces complexity in your UI logic.
In Flutter architecture, domain models are the refined data structures your app uses. Unlike raw API models that often contain extra or nested fields, domain models are simplified, relevant, and purpose-built for the rest of the app, especially the UI and view models.
Each repository is responsible for transforming the raw response it receives from an API into a clean domain model. For example, the BookingRepository
doesn't expose raw API data. Instead, it returns objects like Booking
or BookingSummary
that are structured specifically for app use. This separation ensures that your business logic stays clean and focused.
In the sample app, the getBooking
method fetches raw data from the ApiClient
and combines multiple responses to form a Booking
domain object. This method filters out unnecessary details and builds a structure that the UI can easily consume.
Here’s a simplified version of how that logic works:
Future<Result<Booking>> getBooking(int id) async {
try {
final resultBooking = await _apiClient.getBooking(id);
if (resultBooking is Error<BookingApiModel>) {
return Result.error(resultBooking.error);
}
final booking = resultBooking.asOk.value;
final destination = _apiClient.getDestination(booking.destinationRef);
final activities = _apiClient.getActivitiesForBooking(booking.activitiesRef);
return Result.ok(
Booking(
startDate: booking.startDate,
endDate: booking.endDate,
destination: destination,
activity: activities,
),
);
} catch (e) {
return Result.error(e);
}
}
This approach makes your code more maintainable, improves testability, and reduces complexity in your UI logic.
In Flutter architecture, domain models are the refined data structures your app uses. Unlike raw API models that often contain extra or nested fields, domain models are simplified, relevant, and purpose-built for the rest of the app, especially the UI and view models.
Each repository is responsible for transforming the raw response it receives from an API into a clean domain model. For example, the BookingRepository
doesn't expose raw API data. Instead, it returns objects like Booking
or BookingSummary
that are structured specifically for app use. This separation ensures that your business logic stays clean and focused.
In the sample app, the getBooking
method fetches raw data from the ApiClient
and combines multiple responses to form a Booking
domain object. This method filters out unnecessary details and builds a structure that the UI can easily consume.
Here’s a simplified version of how that logic works:
Future<Result<Booking>> getBooking(int id) async {
try {
final resultBooking = await _apiClient.getBooking(id);
if (resultBooking is Error<BookingApiModel>) {
return Result.error(resultBooking.error);
}
final booking = resultBooking.asOk.value;
final destination = _apiClient.getDestination(booking.destinationRef);
final activities = _apiClient.getActivitiesForBooking(booking.activitiesRef);
return Result.ok(
Booking(
startDate: booking.startDate,
endDate: booking.endDate,
destination: destination,
activity: activities,
),
);
} catch (e) {
return Result.error(e);
}
}
This approach makes your code more maintainable, improves testability, and reduces complexity in your UI logic.
In Flutter architecture, domain models are the refined data structures your app uses. Unlike raw API models that often contain extra or nested fields, domain models are simplified, relevant, and purpose-built for the rest of the app, especially the UI and view models.
Each repository is responsible for transforming the raw response it receives from an API into a clean domain model. For example, the BookingRepository
doesn't expose raw API data. Instead, it returns objects like Booking
or BookingSummary
that are structured specifically for app use. This separation ensures that your business logic stays clean and focused.
In the sample app, the getBooking
method fetches raw data from the ApiClient
and combines multiple responses to form a Booking
domain object. This method filters out unnecessary details and builds a structure that the UI can easily consume.
Here’s a simplified version of how that logic works:
Future<Result<Booking>> getBooking(int id) async {
try {
final resultBooking = await _apiClient.getBooking(id);
if (resultBooking is Error<BookingApiModel>) {
return Result.error(resultBooking.error);
}
final booking = resultBooking.asOk.value;
final destination = _apiClient.getDestination(booking.destinationRef);
final activities = _apiClient.getActivitiesForBooking(booking.activitiesRef);
return Result.ok(
Booking(
startDate: booking.startDate,
endDate: booking.endDate,
destination: destination,
activity: activities,
),
);
} catch (e) {
return Result.error(e);
}
}
This approach makes your code more maintainable, improves testability, and reduces complexity in your UI logic.
Completing the User Action Cycle
Completing the User Action Cycle
Completing the User Action Cycle
Completing the User Action Cycle
Let’s walk through how the full flow works when a user deletes a saved booking in your Flutter app.
It all begins with a user interaction, like swiping a booking card using a Dismissible
widget. This triggers an event that the HomeViewModel picks up. Instead of handling the data change directly, the view model passes that task to the BookingRepository, keeping the architecture clean and separated.
Here’s what the delete
method inside BookingRepository
looks like:
dartCopyEditFuture<Result<void>
In this function, the repository calls the API client to send a POST
request that deletes the booking. The response is wrapped in an Result
object, which helps handle success or failure cleanly.
The HomeViewModel then consumes that result. Based on the outcome, it may update the internal state and finally call notifyListeners()
to refresh the UI. That completes the cycle, turning a simple swipe gesture into a fully handled data update in the app.
Let’s walk through how the full flow works when a user deletes a saved booking in your Flutter app.
It all begins with a user interaction, like swiping a booking card using a Dismissible
widget. This triggers an event that the HomeViewModel picks up. Instead of handling the data change directly, the view model passes that task to the BookingRepository, keeping the architecture clean and separated.
Here’s what the delete
method inside BookingRepository
looks like:
dartCopyEditFuture<Result<void>
In this function, the repository calls the API client to send a POST
request that deletes the booking. The response is wrapped in an Result
object, which helps handle success or failure cleanly.
The HomeViewModel then consumes that result. Based on the outcome, it may update the internal state and finally call notifyListeners()
to refresh the UI. That completes the cycle, turning a simple swipe gesture into a fully handled data update in the app.
Let’s walk through how the full flow works when a user deletes a saved booking in your Flutter app.
It all begins with a user interaction, like swiping a booking card using a Dismissible
widget. This triggers an event that the HomeViewModel picks up. Instead of handling the data change directly, the view model passes that task to the BookingRepository, keeping the architecture clean and separated.
Here’s what the delete
method inside BookingRepository
looks like:
dartCopyEditFuture<Result<void>
In this function, the repository calls the API client to send a POST
request that deletes the booking. The response is wrapped in an Result
object, which helps handle success or failure cleanly.
The HomeViewModel then consumes that result. Based on the outcome, it may update the internal state and finally call notifyListeners()
to refresh the UI. That completes the cycle, turning a simple swipe gesture into a fully handled data update in the app.
Let’s walk through how the full flow works when a user deletes a saved booking in your Flutter app.
It all begins with a user interaction, like swiping a booking card using a Dismissible
widget. This triggers an event that the HomeViewModel picks up. Instead of handling the data change directly, the view model passes that task to the BookingRepository, keeping the architecture clean and separated.
Here’s what the delete
method inside BookingRepository
looks like:
dartCopyEditFuture<Result<void>
In this function, the repository calls the API client to send a POST
request that deletes the booking. The response is wrapped in an Result
object, which helps handle success or failure cleanly.
The HomeViewModel then consumes that result. Based on the outcome, it may update the internal state and finally call notifyListeners()
to refresh the UI. That completes the cycle, turning a simple swipe gesture into a fully handled data update in the app.
Conclusion
Conclusion
Conclusion
Conclusion
Building a Reliable Data Layer in Flutter
The data layer is one of the most critical parts of your Flutter app architecture. By properly structuring it using repositories and services, you create a clean separation between business logic and data access. This makes your app easier to maintain, scale, and test—especially as it grows in complexity.
Whether you're integrating APIs, managing local storage, or preparing for offline support, keeping your data layer organized ensures your UI remains reactive and your codebase stays clean.
🚀 Ready to go deeper?
In the next section, we’ll explore how different layers in your app communicate and how to use dependency injection to connect them efficiently.
Let’s connect the dots and build a fully modular Flutter app.
Building a Reliable Data Layer in Flutter
The data layer is one of the most critical parts of your Flutter app architecture. By properly structuring it using repositories and services, you create a clean separation between business logic and data access. This makes your app easier to maintain, scale, and test—especially as it grows in complexity.
Whether you're integrating APIs, managing local storage, or preparing for offline support, keeping your data layer organized ensures your UI remains reactive and your codebase stays clean.
🚀 Ready to go deeper?
In the next section, we’ll explore how different layers in your app communicate and how to use dependency injection to connect them efficiently.
Let’s connect the dots and build a fully modular Flutter app.
Building a Reliable Data Layer in Flutter
The data layer is one of the most critical parts of your Flutter app architecture. By properly structuring it using repositories and services, you create a clean separation between business logic and data access. This makes your app easier to maintain, scale, and test—especially as it grows in complexity.
Whether you're integrating APIs, managing local storage, or preparing for offline support, keeping your data layer organized ensures your UI remains reactive and your codebase stays clean.
🚀 Ready to go deeper?
In the next section, we’ll explore how different layers in your app communicate and how to use dependency injection to connect them efficiently.
Let’s connect the dots and build a fully modular Flutter app.
Building a Reliable Data Layer in Flutter
The data layer is one of the most critical parts of your Flutter app architecture. By properly structuring it using repositories and services, you create a clean separation between business logic and data access. This makes your app easier to maintain, scale, and test—especially as it grows in complexity.
Whether you're integrating APIs, managing local storage, or preparing for offline support, keeping your data layer organized ensures your UI remains reactive and your codebase stays clean.
🚀 Ready to go deeper?
In the next section, we’ll explore how different layers in your app communicate and how to use dependency injection to connect them efficiently.
Let’s connect the dots and build a fully modular Flutter app.
Table of content
© 2021-25 Blupx Private Limited.
All rights reserved.
© 2021-25 Blupx Private Limited.
All rights reserved.
© 2021-25 Blupx Private Limited.
All rights reserved.