Custom serialization
For most purposes, you will want to use Serverpod's native serialization. However, there may be cases where you want to serialize more advanced objects. With Serverpod, you can pass any serializable objects as long as they conform to three simple rules:
-
Your objects must have a method called
toJson()
which returns a JSON serialization of the object.Map<String, dynamic> toJson() {
return {
name: 'John Doe',
};
} -
There must be a constructor or factory called
fromJson()
, which takes a JSON serialization as parameters.factory ClassName.fromJson(
Map<String, dynamic> json,
) {
return ClassName(
name: json['name'] as String,
);
} -
You must declare your custom serializable objects in the
config/generator.yaml
file in the server project, the path needs to be accessible from both the server package and the client package....
extraClasses:
- package:my_project_shared/my_project_shared.dart:ClassName
Setup example
We recommend creating a new dart package specifically for sharing these types of classes and importing it into the server and client pubspec.yaml
. This can easily be done by running $ dart create -t package <my_project>_shared
in the root folder of your project.
Your folder structure should then look like this:
├── my_project_client
├── my_project_flutter
├── my_project_server
├── my_project_shared
Then you need to update both your my_project_server/pubspec.yaml
and my_project_client/pubspec.yaml
and add the new package as a dependency.
dependencies:
...
my_project_shared:
path: ../my_project_shared
...
Now you can create your custom class in your new shared package:
class ClassName {
String name;
ClassName(this.name);
toJson() {
return {
'name': name,
};
}
factory ClassName.fromJson(
Map<String, dynamic> jsonSerialization,
) {
return ClassName(
jsonSerialization['name'],
);
}
}
After adding a new serializable class, you must run serverpod generate
. You are now able to use this class in your endpoints and leverage the full serialization/deserialization management that comes with Serverpod.
In your server project, you can create an endpoint returning your custom object.
import 'package:relation_test_shared/relation_test_shared.dart';
import 'package:serverpod/serverpod.dart';
class ExampleEndpoint extends Endpoint {
Future<ClassName> getMyCustomClass(Session session) async {
return ClassName(
'John Doe',
);
}
}
Custom class with Freezed
Serverpod also has support for using custom classes created with the Freezed package.
import 'package:freezed_annotation/freezed_annotation.dart';
part 'freezed_custom_class.freezed.dart';
part 'freezed_custom_class.g.dart';
class FreezedCustomClass with _$FreezedCustomClass {
const factory FreezedCustomClass({
required String firstName,
required String lastName,
required int age,
}) = _FreezedCustomClass;
factory FreezedCustomClass.fromJson(
Map<String, Object?> json,
) =>
_$FreezedCustomClassFromJson(json);
}
In the config/generator.yaml, you declare the package and the class:
extraClasses:
- package:my_shared_package/my_shared_package.dart:FreezedCustomClass
Custom class with ProtocolSerialization
If you need certain fields to be omitted when transmitting to the client-side, your server-side custom class should implement the ProtocolSerialization
interface. This requires adding a method named toJsonForProtocol()
. Serverpod will then use this method to serialize your object for protocol communication. If the class does not implement ProtocolSerialization
, Serverpod defaults to using the toJson()
method.
Implementation Example
Here’s how you can implement it:
class CustomClass implements ProtocolSerialization {
final String? value;
final String? serverSideValue;
.......
// Serializes fields specifically for protocol communication
Map<String, dynamic> toJsonForProtocol() {
return {
"value":value,
};
}
// Serializes all fields, including those intended only for server-side use
Map<String, dynamic> toJson() {
return {
"value": value,
"serverSideValue": serverSideValue,
};
}
}
This structure ensures that sensitive or server-only data is not exposed to the client, enhancing security and data integrity.
Importantly, this implementation is not required for client-side custom models.