object_serializer

Description:

object serializer

object_serializer #
A collection of serializers for serializing data in a variety of ways (JSON, Generic Objects).
Version: 0.4.0
Two kinds of data serializers are currently available:

JSON serializer
Object serializer

JSON serializer is a serializer to standard JSON format. Serialization is supported for types that can be converted to simpler data types (eg. BigInt, DateTime, Duration, Uri etc). The working principle is simple. You yourself choose the method of serialization and deserialization of data, that is, you completely control this process.
Object serializer is a serializer (with caching support) of any static (generic) complex data that can be represented as simpler data.
Allows you to implement a serializer for any data that can be transferred between isolates or even over the Internet.
The principle of operation is very simple, for each data type you need to implement your own object serializer.
Implementing an object serializer is also very simple. To do this, you need to write the data in a strict order and then read this data in the same order.
JSON serializer #
JSON serializer is a serializer to standard JSON format.
Let's say that we need to use this data objects to exchange data in JSON format.
As you can see, we need a generic serializer.
classes:
Foo:
fields:
bar: Bar
Bar:
fields:
baz: Baz
Baz:
fields:
date1:
type: DateTime
deserialize: |-
_Serializer.deserialize<DateTime>
serialize:
_Serializer.serialize<DateTime>
date2:
type: DateTime?
deserializer: _Serializer
serializer: _Serializer

Response:
typeParameters: <T1, T2, T3>
fields:
data1:
type: T1
deserialize: |-
_Serializer.deserialize<T>
serialize:
_Serializer.serialize<T>
data2:
type: T2?
deserializer: _Serializer
serializer: _Serializer
data3:
type: T3
serialization: _Serializer

serializers:
_Serializer:
types:
Bar:
Baz:
Foo:
DateTime:
deserialize: |-
result = DateTime.fromMicrosecondsSinceEpoch(int.parse(value as String));
serialize: |-
result = (value as DateTime).microsecondsSinceEpoch.toString();

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Now let's try to generate the code.
Let's do this through the project build process.
Let's call this file example\example_models.json.yaml.
You need to add dependencies to the pubspec.yaml file.
dev_dependencies:
build_runner: any
object_serializer: ^0.3.6
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And start the build process:
dart run build_runner build
As a result of the build_runner operation, the example\example_models.json.dart file will be generated.
class Foo {
Foo({required this.bar});

factory Foo.fromJson(Map json) {
return Foo(
bar: Bar.fromJson(json['bar'] as Map),
);
}

final Bar bar;

static List<Foo> fromJsonList(List json) {
return json.map((e) => Foo.fromJson(e as Map)).toList();
}

Map<String, dynamic> toJson() {
return {
'bar': bar.toJson(),
};
}

static List<Map<String, dynamic>> toJsonList(List<Foo> list) {
return list.map((e) => e.toJson()).toList();
}
}

class Bar {
Bar({required this.baz});

factory Bar.fromJson(Map json) {
return Bar(
baz: Baz.fromJson(json['baz'] as Map),
);
}

final Baz baz;

static List<Bar> fromJsonList(List json) {
return json.map((e) => Bar.fromJson(e as Map)).toList();
}

Map<String, dynamic> toJson() {
return {
'baz': baz.toJson(),
};
}

static List<Map<String, dynamic>> toJsonList(List<Bar> list) {
return list.map((e) => e.toJson()).toList();
}
}

class Baz {
Baz({required this.date});

factory Baz.fromJson(Map json) {
return Baz(
date: _DateTimeSerializer.deserialize(json['date']),
);
}

final DateTime date;

static List<Baz> fromJsonList(List json) {
return json.map((e) => Baz.fromJson(e as Map)).toList();
}

Map<String, dynamic> toJson() {
return {
'date': _DateTimeSerializer.serialize(date),
};
}

static List<Map<String, dynamic>> toJsonList(List<Baz> list) {
return list.map((e) => e.toJson()).toList();
}
}

class _DateTimeSerializer {
static DateTime deserialize(Object? value) {
final json = value as String;
return DateTime.fromMicrosecondsSinceEpoch(int.parse(json));
}

static Object? serialize(DateTime value) {
return value.microsecondsSinceEpoch.toString();
}
}

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Second way. Using a generator for this.
Example of generator script can be found here:
https://github.com/mezoni/object_serializer/blob/master/example/example_generate_small_example.dart
Example of generated script can be found here:
https://github.com/mezoni/object_serializer/blob/master/example/small_example.dart
Object serializer #
Object serializer is a serializer (with caching support) of any static (generic) complex data that can be represented as simpler data.
Example of simple object serializer:
class _UriSerializer extends ObjectSerializer<Uri> {
@override
Uri deserialize(Deserializer deserializer) {
return Uri.parse(deserializer.readObject());
}

@override
void serialize(Serializer serializer, Uri object) {
serializer.writeObject(object.toString());
}
}
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This is not an analogue or replacement for the JSON serializer.
In this case, the data is serialized into a so-called stream and, if necessary, cached.
For example, you can serialize such data.
typedef _ComplexType = Map<Uri, List<Tuple2<BigInt, Tuple2<int, Base?>>>>;

class A extends Base {
A(super.base);

@override
bool operator ==(other) => other is A && other.base == base;
}

class B extends Base {
final int x;

B(super.base, this.x);

@override
bool operator ==(other) => other is B && other.base == base && other.x == x;
}

class Base {
final String base;

Base(this.base);
}
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For example, such data can be serialized.
final _ComplexType map = {
Uri.parse('package:animals'): [
Tuple2(BigInt.parse('1'), Tuple2(1, A('Hello'))),
Tuple2(BigInt.parse('2'), Tuple2(1, A('Hello'))),
],
Uri.parse('package:zoo'): [
Tuple2(BigInt.parse('1'), Tuple2(1, B('Goodbye', 41))),
Tuple2(BigInt.parse('2'), Tuple2(2, null)),
Tuple2(BigInt.parse('1'), Tuple2(1, A('Hello'))),
],
};
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Output data stream:
[1, 4, 2, 4, 16, 6, 8, package:animals, 9, 9, 2, 12, 11, 14, 15, 16, 8, 1, 19, 12, 21, 2, 1, 24, 13, 26, 8, Hello, 29, 11, 31, 15, 33, 8, 2, 36, 12, 21, 39, 13, 26, 42, 16, 44, 8, package:zoo, 47, 9, 3, 50, 11, 14, 53, 12, 21, 56, 14, 58, 8, Goodbye, 61, 2, 41, 64, 11, 31, 67, 12, 69, 2, 2, 72, 6, 74, 11, 14, 77, 12, 21, 80, 13, 26]
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Full example:
import 'dart:isolate';

import 'package:object_serializer/object_serializer.dart';
import 'package:object_serializer/serialize.dart';
import 'package:test/test.dart';
import 'package:tuple/tuple.dart';

Future<void> main() async {
test(
'Example',
() async {
final _ComplexType map = {
Uri.parse('package:animals'): [
Tuple2(BigInt.parse('1'), Tuple2(1, A('Hello'))),
Tuple2(BigInt.parse('2'), Tuple2(1, A('Hello'))),
],
Uri.parse('package:zoo'): [
Tuple2(BigInt.parse('1'), Tuple2(1, B('Goodbye', 41))),
Tuple2(BigInt.parse('2'), Tuple2(2, null)),
Tuple2(BigInt.parse('1'), Tuple2(1, A('Hello'))),
],
};

final stream = serializeMap(map, _collection);

//
final port = ReceivePort();
final isolate =
await Isolate.spawn<List>(compute, [port.sendPort, stream]);
final stream2 = await port.first as List;
isolate.kill(priority: Isolate.immediate);

//
final _ComplexType result = deserializeMap(stream2, _collection);
expect(result, map);
},
);
}

final _collection = ObjectSerializerCollection()
..addSerializer(ListSerializer<Tuple2<BigInt, Tuple2<int, Base?>>>())
..addSerializer(_ASerializer())
..addSerializer(_BSerializer())
..addSerializer(_BigIntSerializer())
..addSerializer(_Tuple2Serializer<BigInt, Tuple2<int, Base?>>())
..addSerializer(_Tuple2Serializer<int, Base?>())
..addSerializer(_UriSerializer());

void compute(List args) {
final sendPort = args[0] as SendPort;
final input = args[1] as List;
final _ComplexType map = deserializeMap(input, _collection);
final output = serializeMap(map, _collection);
sendPort.send(output);
}

typedef _ComplexType = Map<Uri, List<Tuple2<BigInt, Tuple2<int, Base?>>>>;

class A extends Base {
A(super.base);

@override
bool operator ==(other) => other is A && other.base == base;
}

class B extends Base {
final int x;

B(super.base, this.x);

@override
bool operator ==(other) => other is B && other.base == base && other.x == x;
}

class Base {
final String base;

Base(this.base);
}

class _ASerializer extends ObjectSerializer<A> {
@override
A deserialize(Deserializer deserializer) {
return A(
deserializer.readObject(),
);
}

@override
void serialize(Serializer serializer, A object) {
serializer.writeObject(object.base);
}
}

class _BigIntSerializer extends ObjectSerializer<BigInt> {
@override
BigInt deserialize(Deserializer deserializer) {
return BigInt.parse(deserializer.readObject());
}

@override
void serialize(Serializer serializer, BigInt object) {
serializer.writeObject('$object');
}
}

class _BSerializer extends ObjectSerializer<B> {
@override
B deserialize(Deserializer deserializer) {
return B(
deserializer.readObject(),
deserializer.readObject(),
);
}

@override
void serialize(Serializer serializer, B object) {
serializer.writeObject(object.base);
serializer.writeObject(object.x);
}
}

class _Tuple2Serializer<T1, T2> extends ObjectSerializer<Tuple2<T1, T2>> {
@override
Tuple2<T1, T2> deserialize(Deserializer deserializer) {
return Tuple2(
deserializer.readObject(),
deserializer.readObject(),
);
}

@override
void serialize(Serializer serializer, Tuple2<T1, T2> object) {
serializer.writeObject(object.item1);
serializer.writeObject(object.item2);
}
}

class _UriSerializer extends ObjectSerializer<Uri> {
@override
Uri deserialize(Deserializer deserializer) {
return Uri.parse(deserializer.readObject());
}

@override
void serialize(Serializer serializer, Uri object) {
serializer.writeObject(object.toString());
}
}

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For simpler or non-generic data, fewer serializers are required. But, in any case, each data requires its own serializer.
This allows any type of data to be serialized. For example, you can serialize a parsed AST.
The main goal is to make it easier to write serializers to pass data between isolates.