11 KiB
serialize
Source-generated serialization for Dart objects. This package uses package:source_gen
to eliminate
the time you spend writing boilerplate serialization code for your models.
package:angel_serialize
also powers package:angel_orm
.
Usage
In your pubspec.yaml
, you need to install the following dependencies:
dependencies:
angel_model: ^1.0.0
angel_serialize: ^2.0.0
dev_dependencies:
angel_serialize_generator: ^2.0.0
build_runner: ^1.0.0
With the recent updates to package:build_runner
, you can build models automatically,
anywhere in your project structure,
by running pub run build_runner build
.
To tweak this: https://pub.dartlang.org/packages/build_config
If you want to watch for file changes and re-build when necessary, replace the build
call
with a call to watch
. They take the same parameters.
Models
There are a few changes opposed to normal Model classes. You need to add a @serializable
annotation to your model
class to have it serialized, and a serializable model class's name should also start
with a leading underscore.
In addition, you may consider using an abstract
class to ensure immutability
of models.
Rather you writing the public class, angel_serialize
does it for you. This means that the main class can have
its constructors automatically generated, in addition into serialization functions.
For example, say we have a Book
model. Create a class named _Book
:
library angel_serialize.test.models.book;
import 'package:angel_model/angel_model.dart';
import 'package:angel_serialize/angel_serialize.dart';
import 'package:collection/collection.dart';
part 'book.g.dart';
@serializable
abstract class _Book extends Model {
String get author;
@SerializableField(defaultValue: '[Untitled]')
String get title;
String get description;
int get pageCount;
BookType get type;
}
/// It even supports enums!
enum BookType {
fiction,
nonFiction
}
The following file will be generated:
book.g.dart
Producing these classes:
Book
: Extends or implements_Book
; may beconst
-enabled.BookSerializer
: static functionality for serializingBook
models.BookFields
: The names of all fields from theBook
model, statically-available.BookEncoder
: AllowsBookSerializer
to extendCodec<Book, Map>
.BookDecoder
: Also allowsBookSerializer
to extendCodec<Book, Map>
.
And the following other features:
bookSerializer
: A top-level,const
instance ofBookSerializer
.Book.toString
: Prints out all of aBook
instance's fields.
Serialization
You can use the generated files as follows:
myFunction() {
var warAndPeace = new Book(
author: 'Leo Tolstoy',
title: 'War and Peace',
description: 'You will cry after reading this.',
pageCount: 1225
);
// Easily serialize models into Maps
var map = BookSerializer.toMap(warAndPeace);
// Also deserialize from Maps
var book = BookSerializer.fromMap(map);
print(book.title); // 'War and Peace'
// For compatibility with `JSON.encode`, a `toJson` method
// is included that forwards to `BookSerializer.toMap`:
expect(book.toJson(), map);
// Generated classes act as value types, and thus can be compared.
expect(BookSerializer.fromMap(map), equals(warAndPeace));
}
As of 2.0.2
, the generated output also includes information
about the serialized names of keys on your model class.
myOtherFunction() {
// Relying on the serialized key of a field? No worries.
map[BookFields.author] = 'Zora Neale Hurston';
}
}
Customizing Serialization
Currently, these serialization methods are supported:
- to
Map
- to JSON
- to TypeScript definitions
You can customize these by means of serializers
:
@Serializable(serializers: const [Serializers.map, Serializers.json])
class _MyClass extends Model {}
Subclasses
angel_serialize
pulls in fields from parent classes, as well as
implemented interfaces, so it is extremely easy to share attributes among
model classes:
import 'package:angel_serialize/angel_serialize.dart';
part 'subclass.g.dart';
@serializable
class _Animal {
@notNull
String genus;
@notNull
String species;
}
@serializable
class _Bird extends _Animal {
@DefaultsTo(false)
bool isSparrow;
}
var saxaulSparrow = Bird(
genus: 'Passer',
species: 'ammodendri',
isSparrow: true,
);
Aliases
Whereas Dart fields conventionally are camelCased, most database columns tend to be snake_cased. This is not a problem, because we can define an alias for a field.
By default angel_serialize
will transform keys into snake case. Use alias
to
provide a custom name, or pass autoSnakeCaseNames
: false
to the builder;
@serializable
abstract class _Spy extends Model {
/// Will show up as 'agency_id' in serialized JSON.
///
/// When deserializing JSON, instead of searching for an 'agencyId' key,
/// it will use 'agency_id'.
///
/// Hooray!
String agencyId;
@SerializableField(alias: 'foo')
String someOtherField;
}
You can also override autoSnakeCaseNames
per model:
@Serializable(autoSnakeCaseNames: false)
abstract class _OtherCasing extends Model {
String camelCasedField;
}
Excluding Keys
In pratice, there may keys that you want to exclude from JSON.
To accomplish this, simply annotate them with @exclude
:
@serializable
abstract class _Whisper extends Model {
/// Will never be serialized to JSON
@SerializableField(exclude: true)
String secret;
}
There are times, however, when you want to only exclude either serialization or deserialization, but not both. For example, you might want to deserialize passwords from a database without sending them to users as JSON.
In this case, use canSerialize
or canDeserialize
:
@serializable
abstract class _Whisper extends Model {
/// Will never be serialized to JSON
///
/// ... But it can be deserialized
@SerializableField(exclude: true, canDeserialize: true)
String secret;
}
Required Fields
It is easy to mark a field as required:
@serializable
abstract class _Foo extends Model {
@SerializableField(isNullable: false)
int myRequiredInt;
@SerializableField(isNullable: false, errorMessage: 'Custom message')
int myOtherRequiredInt;
}
The given field will be marked as @required
in the
generated constructor, and serializers will check for its
presence, throwing a FormatException
if it is missing.
Adding Annotations to Generated Classes
There are times when you need the generated class to have annotations affixed to it:
@Serializable(
includeAnnotations: [
Deprecated('blah blah blah'),
pragma('something...'),
]
)
abstract class _Foo extends Model {}
Custom Serializers
package:angel_serialize
does not cover every known Dart data type; you can add support for your own.
Provide serializer
and deserializer
arguments to @SerializableField()
as you see fit.
They are typically used together. Note that the argument to deserializer
will always be
dynamic
, while serializer
can receive the data type in question.
In such a case, you might want to also provide a serializesTo
argument.
This lets the generator, as well as the ORM, apply the correct (de)serialization rules
and validations.
DateTime _dateFromString(s) => s is String ? HttpDate.parse(s) : null;
String _dateToString(DateTime v) => v == null ? null : HttpDate.format(v);
@serializable
abstract class _HttpRequest {
@SerializableField(
serializer: #_dateToString,
deserializer: #_dateFromString,
serializesTo: String)
DateTime date;
}
Nesting
angel_serialize
also supports a few types of nesting of @serializable
classes:
- As a class member, ex.
Book myField
- As the type argument to a
List
, ex.List<Book>
- As the second type argument to a
Map
, ex.Map<String, Book>
In other words, the following are all legal, and will be serialized/deserialized.
You can use either the underscored name of a child class (ex. _Book
), or the
generated class name (ex Book
):
@serializable
abstract class _Author extends Model {
List<Book> books;
Book newestBook;
Map<String, Book> booksByIsbn;
}
If your model (Author
) depends on a model defined in another file (Book
),
then you will need to generate book.g.dart
before, author.g.dart
,
in a separate build action. This way, the analyzer can resolve the Book
type.
ID and Dates
This package will automatically generate id
, createdAt
, and updatedAt
fields for you,
in the style of an Angel Model
. This will automatically be generated, only for classes
extending Model
.
Binary Data
package:angel_serialize
also handles Uint8List
fields, by means of serialization to
and from base64
encoding.
TypeScript Definitions
It is quite common to build frontends with JavaScript and/or TypeScript, so why not generate typings as well?
To accomplish this, add Serializers.typescript
to your @Serializable()
declaration:
@Serializable(serializers: const [Serializers.map, Serializers.json, Serializers.typescript])
class _Foo extends Model {}
The aforementioned _Author
class will generate the following in author.d.ts
:
interface Author {
id: string;
name: string;
age: number;
books: Book[];
newest_book: Book;
created_at: any;
updated_at: any;
}
interface Library {
id: string;
collection: BookCollection;
created_at: any;
updated_at: any;
}
interface BookCollection {
[key: string]: Book;
}
Fields with an @Exclude()
that specifies canSerialize: false
will not be present in the
TypeScript definition. The rationale for this is that if a field (i.e. password
) will
never be sent to the client, the client shouldn't even know the field exists.
Constructor Parameters
Sometimes, you may need to have custom constructor parameters, for example, when
using depedency injection frameworks. For these cases, angel_serialize
can forward
custom constructor parameters.
The following:
@serializable
abstract class _Bookmark extends _BookmarkBase {
@SerializableField(exclude: true)
final Book book;
int get page;
String get comment;
_Bookmark(this.book);
}
Generates:
class Bookmark extends _Bookmark {
Bookmark(Book book,
{this.id,
this.page,
this.comment,
this.createdAt,
this.updatedAt})
: super(book);
@override
final String id;
// ...
}