Provides Dart Build System builders for handling JSON.
The builders generate code when they find members annotated with classes defined in package:json_annotation.
-
To generate to/from JSON code for a class, annotate it with
JsonSerializable
. You can provide arguments toJsonSerializable
to configure the generated code. You can also customize individual fields by annotating them withJsonKey
and providing custom arguments. See the table below for details on the annotation values. -
To generate a Dart field with the contents of a file containing JSON, use the
JsonLiteral
annotation.
To configure your project for the latest released version of
json_serializable
, see the example.
Given a library example.dart
with an Person
class annotated with
JsonSerializable
:
import 'package:json_annotation/json_annotation.dart';
part 'example.g.dart';
@JsonSerializable()
class Person {
/// The generated code assumes these values exist in JSON.
final String firstName, lastName;
/// The generated code below handles if the corresponding JSON value doesn't
/// exist or is empty.
final DateTime? dateOfBirth;
Person({required this.firstName, required this.lastName, this.dateOfBirth});
/// Connect the generated [_$PersonFromJson] function to the `fromJson`
/// factory.
factory Person.fromJson(Map<String, dynamic> json) => _$PersonFromJson(json);
/// Connect the generated [_$PersonToJson] function to the `toJson` method.
Map<String, dynamic> toJson() => _$PersonToJson(this);
}
Building creates the corresponding part example.g.dart
:
part of 'example.dart';
Person _$PersonFromJson(Map<String, dynamic> json) => Person(
firstName: json['firstName'] as String,
lastName: json['lastName'] as String,
dateOfBirth: json['dateOfBirth'] == null
? null
: DateTime.parse(json['dateOfBirth'] as String),
);
Map<String, dynamic> _$PersonToJson(Person instance) => <String, dynamic>{
'firstName': instance.firstName,
'lastName': instance.lastName,
'dateOfBirth': instance.dateOfBirth?.toIso8601String(),
};
Once you have added the annotations to your code you then need to run the code
generator to generate the missing .g.dart
generated dart files.
Run dart run build_runner build
in the package directory.
The only annotation required to use this package is JsonSerializable
. When
applied to a class (in a correctly configured package), toJson
and fromJson
code will be generated when you build. There are three ways to control how code
is generated:
- Setting properties on
JsonKey
annotating the target field. - Set properties on
JsonSerializable
annotating the target type. - Add configuration to
build.yaml
– see below.
Every JsonSerializable
field is configurable via build.yaml
. If you find
you want all or most of your classes with the same configuration, it may be
easier to specify values once in the YAML file. Values set explicitly on
JsonSerializable
take precedence over settings in build.yaml
.
There is some overlap between settings on JsonKey
and
JsonSerializable
. In these cases, the property on JsonKey
takes
precedence over any value set on JsonSerializable
.
Annotate enum
types with JsonEnum
(new in json_annotation
4.2.0) to:
- Specify the default rename logic for each enum value using
fieldRename
. For instance, usefieldRename: FieldRename.kebab
to encodeenum
valuenoGood
as"no-good"
. - Force the generation of the
enum
helpers, even if theenum
is not referenced in code. This is an edge scenario, but useful for some.
Annotate enum
values with JsonValue
to specify the encoded value to map
to target enum
entries. Values can be of type String
or int
.
enum StatusCode {
@JsonValue(200)
success,
@JsonValue(301)
movedPermanently,
@JsonValue(302)
found,
@JsonValue(500)
internalServerError,
}
If you are annotating an
enhanced enum,
you can use JsonEnum.valueField
to specify the field to use for the
serialized value.
@JsonEnum(valueField: 'code')
enum StatusCodeEnhanced {
success(200),
movedPermanently(301),
found(302),
internalServerError(500);
const StatusCodeEnhanced(this.code);
final int code;
}
Out of the box, json_serializable
supports many common types in the
dart:core
library:
BigInt
, bool
, DateTime
, double
, Duration
, Enum
, int
,
Iterable
, List
, Map
, num
, Object
, Record
, Set
,
String
, Uri
The collection types –
Iterable
, List
, Map
, Record
, Set
– can contain values of all the above types.
For Map
, the key value must be one of
BigInt
, DateTime
, Enum
, int
, Object
, String
, Uri
If you want to use types that are not supported out-of-the-box or if you want to customize the encoding/decoding of any type, you have a few options.
-
If you own/control the desired type, add a
fromJson
constructor and/or atoJson()
function to the type. Note: while you can usejson_serializable
for these types, you don't have to! The generator code only looks for these methods. It doesn't care how they were created.@JsonSerializable() class Sample1 { Sample1(this.value); factory Sample1.fromJson(Map<String, dynamic> json) => _$Sample1FromJson(json); // Sample2 is NOT annotated with @JsonSerializable(), but that's okay // The class has a `fromJson` constructor and a `toJson` method, which is // all that is required. final Sample2 value; Map<String, dynamic> toJson() => _$Sample1ToJson(this); } class Sample2 { Sample2(this.value); // The convention is for `fromJson` to take a single parameter of type // `Map<String, dynamic>` but any JSON-compatible type is allowed. factory Sample2.fromJson(int value) => Sample2(value); final int value; // The convention is for `toJson` to take return a type of // `Map<String, dynamic>` but any JSON-compatible type is allowed. int toJson() => value; }
-
Use the
JsonKey.toJson
andJsonKey.fromJson
properties to specify custom conversions on the annotated field. The functions specified must be top-level or static. See the documentation of these properties for details.@JsonSerializable() class Sample3 { Sample3(this.value); factory Sample3.fromJson(Map<String, dynamic> json) => _$Sample3FromJson(json); @JsonKey( toJson: _toJson, fromJson: _fromJson, ) final DateTime value; Map<String, dynamic> toJson() => _$Sample3ToJson(this); static int _toJson(DateTime value) => value.millisecondsSinceEpoch; static DateTime _fromJson(int value) => DateTime.fromMillisecondsSinceEpoch(value); }
-
Create an implementation of
JsonConverter
and annotate either the corresponding field or the containing class.JsonConverter
is convenient if you want to use the same conversion logic on many fields. It also allows you to support a type within collections. Check out these examples.@JsonSerializable() class Sample4 { Sample4(this.value); factory Sample4.fromJson(Map<String, dynamic> json) => _$Sample4FromJson(json); @EpochDateTimeConverter() final DateTime value; Map<String, dynamic> toJson() => _$Sample4ToJson(this); } class EpochDateTimeConverter implements JsonConverter<DateTime, int> { const EpochDateTimeConverter(); @override DateTime fromJson(int json) => DateTime.fromMillisecondsSinceEpoch(json); @override int toJson(DateTime object) => object.millisecondsSinceEpoch; }
Aside from setting arguments on the associated annotation classes, you can also
configure code generation by setting values in build.yaml
.
targets:
$default:
builders:
json_serializable:
options:
# Options configure how source code is generated for every
# `@JsonSerializable`-annotated class in the package.
#
# The default value for each is listed.
any_map: false
checked: false
constructor: ""
create_factory: true
create_field_map: false
create_json_keys: false
create_per_field_to_json: false
create_to_json: true
disallow_unrecognized_keys: false
explicit_to_json: false
field_rename: none
generic_argument_factories: false
ignore_unannotated: false
include_if_null: true