dataforge 0.6.1

Code generator for dataforge package using build_runner for data classes with JSON serialization.

Dataforge Generator

A powerful code generator that produces immutable data classes, JSON serialization logic, and deep copy methods for Dart applications. Designed to work seamlessly with dataforge_annotation.

Table of Contents

• Why Dataforge?
• Features
• Installation
• Usage
• Features Deep Dive
  • Immutable Operations
  • Deep Copy (Chained CopyWith)
  • JSON Serialization
  • Annotations
• CLI Tool
• Advanced Features
  • Custom Type Converters
  • Custom fromJson/toJson Functions
  • Generic Types
  • Null Safety and Default Values
• Generated Code
• Important Notes
• Troubleshooting
• Migration Guide

Why Dataforge?

• Dual Mode Support: Works seamlessly with both build_runner (standard Dart workflow) and a high-performance CLI tool for instant code generation with parallel processing.
• Type-Safe Data Classes: Automatically generates copyWith, operator ==, hashCode, and toString for robust immutable models with full null safety support.
• Smart JSON Conversion:
  • Safe Casting: Gracefully handles type mismatches (e.g., automatically parses a String "123" into an int, or converts an int to String) using built-in SafeCasteUtil.
  • Flexible Extraction: Supports readValue for custom key extraction logic, alternateNames for legacy API compatibility, and custom JsonConverters for complex types.
  • Automatic Type Handling: Built-in converters for DateTime (timestamps/ISO-8601) and Enum types with configurable behavior.
• Deep Immutable Updates: Industry-leading chained copyWith syntax (e.g., user.copyWith.$address.city('NY')) for effortless nested state management without verbose boilerplate.
• Production-Ready: Handles generics, collections (List/Set/Map), circular dependency detection, and complex nested structures with ease.

Package	Pub
dataforge_annotation
dataforge_base
dataforge_cli
dataforge

Features

• Immutable Data Classes: Generates mixins with copyWith, operator == (using DeepCollectionEquality), hashCode, and toString.
• JSON Serialization: Comprehensive fromJson and toJson support with automatic type conversion and validation.
• Deep Copy: Supports chained copyWith (e.g., user.copyWith.$address.street("New St")) for nested Dataforge objects.
• Type Safety: Built-in safe casting (SafeCasteUtil) handles type mismatches gracefully (e.g., String "123" → int 123, int 42 → String "42").
• Smart Converters: Automatic handling of DateTime (timestamps/ISO-8601 strings) and Enum types with built-in converters.
• Generic Support: Full support for generic types with type parameters (e.g., Result<T>, Response<List<User>>).
• Collection Support: Handles List<T>, Set<T>, and Map<K, V> with proper type casting and equality checks.
• Null Safety: Complete null safety support with nullable fields and optional values.
• Custom Converters: Implement JsonTypeConverter<T, S> or use inline fromJson/toJson functions for custom types.
• Legacy API Support: Use alternateNames to support multiple JSON key names for backward compatibility.

Installation

Option 1: build_runner (Standard)

Add the following to your pubspec.yaml:

dependencies:
  dataforge_annotation: ^latest_version

dev_dependencies:
  build_runner: ^latest_version
  dataforge: ^latest_version

Option 2: CLI Tool (Recommended for faster generation)

Install globally:

dart pub global activate dataforge_cli

Then add only the annotation package to your project:

dependencies:
  dataforge_annotation: ^latest_version

Usage

1. Create a Data Class

Define your class with the @Dataforge() annotation and mix in the generated code. The generated mixin name follows the pattern _${ClassName}.

Important: All fields must have the @override annotation for the mixin pattern to work correctly.

import 'package:dataforge_annotation/dataforge_annotation.dart';

part 'user.data.dart'; // 1. Add part directive

@Dataforge()
class User with _User { // 2. Add mixin
  @override  // 3. Add @override to all fields
  final String name;

  @override
  final int age;

  // Optional: Rename JSON keys
  @override
  @JsonKey(name: 'user_email')
  final String email;

  User({
    required this.name,
    required this.age,
    required this.email,
  });

  // 4. Add factory for fromJson
  factory User.fromJson(Map<String, dynamic> json) => _User.fromJson(json);
}

2. Run the Generator

Run build_runner to generate the code:

dart run build_runner build

or watch for changes:

dart run build_runner watch

Features Deep Dive

Immutable Operations

The generator provides a standard copyWith method and value equality.

final user = User(name: 'Alice', age: 30, email: '[e-mail]');
final updated = user.copyWith(age: 31);

print(user == updated); // false
print(user.name == updated.name); // true

Deep Copy (Chained CopyWith)

What is it? Deep Copy (or "Chained CopyWith") allows you to update nested immutable structures without the verbose "staircase" syntax.

Comparison:

Traditional Way:

final newProfile = profile.copyWith(
  address: profile.address.copyWith(
    street: 'New St',
  ),
);

Dataforge Way:

final newProfile = profile.copyWith.$address.street('New St');

This feature is enabled by default. To disable it (e.g., to generate less code for simple classes), set deepCopyWith to false:

@Dataforge(deepCopyWith: false)
class User with _User { ... }

If you have nested Dataforge objects, you can update deeply nested fields easily without manually recreating the entire tree.

@Dataforge()
class Address with _Address {
  @override
  final String city;

  @override
  final String street;

  Address({required this.city, required this.street});
  factory Address.fromJson(Map<String, dynamic> json) => _Address.fromJson(json);
}

@Dataforge()
class Profile with _Profile {
  @override
  final Address address;

  Profile({required this.address});
  factory Profile.fromJson(Map<String, dynamic> json) => _Profile.fromJson(json);
}

void main() {
  final profile = Profile(address: Address(city: 'NY', street: '5th Ave'));

  // Update nested field directly!
  final newProfile = profile.copyWith.$address.street('4th Ave');
  print(newProfile.address.street);  // 4th Ave
  print(newProfile.address.city);    // NY (unchanged)
}

JSON Serialization

fromJson and toJson handle complex scenarios automatically with intelligent type conversion.

Built-in Type Handling

• Safe Casting: Automatically attempts to parse and convert mismatched types:

  • String "123" → int 123
  • int 42 → String "42"
  • String "true" → bool true
  • Graceful fallback to default values for non-nullable types

• Null Safety: Respects nullable (T?) and non-nullable (T) field definitions with proper validation

• Collections: Handles List<T>, Set<T>, and Map<K, V> with inner type casting:

  // JSON: { "scores": ["1", "2", "3"] }
  // Dart: List<int> scores = [1, 2, 3]  // Automatically converted
  

• Nested Objects: Automatically deserializes Dataforge-annotated classes:

  @Dataforge()
  class Profile with _Profile {
    @override
    final User user;  // Calls User.fromJson() automatically
  
    @override
    final List<Address> addresses;  // Calls Address.fromJson() for each item
  
    // Constructor and factory...
  }
  

DateTime Conversion (DefaultDateTimeConverter)

Automatically handles multiple DateTime formats:

// Numeric timestamps
fromJson(1737619200000)  // 13-digit milliseconds → DateTime
fromJson(1737619200)     // 10-digit seconds → DateTime (converted to ms)

// ISO-8601 strings
fromJson("2026-01-23T08:00:00.000Z")  // Standard format → DateTime

// Serialization (always consistent)
toJson(dateTime)  // DateTime → milliseconds timestamp string

Important: Timestamps with ambiguous lengths (not 10 or 13 digits) will throw a FormatException to prevent incorrect conversions.

Enum Conversion (DefaultEnumConverter)

Enums are automatically converted to/from their string names:

enum Status { pending, active, completed }

@Dataforge()
class Task with _Task {
  @override
  final Status status;  // Auto-converted

  // Constructor and factory...
}

// JSON: { "status": "active" }
// Dart: Task(status: Status.active)

JSON Key Features

Rename Keys:

@JsonKey(name: 'user_email')
final String email;  // Maps to "user_email" in JSON

Alternate Names (Legacy API Support):

@JsonKey(name: 'product_id', alternateNames: ['id', 'uuid', 'productId'])
final String id;  // Checks all keys in order: product_id → id → uuid → productId

Ignore Fields:

@JsonKey(ignore: true)
final String secretCode;  // Excluded from fromJson and toJson

Conditional Serialization:

@JsonKey(includeIfNull: false)
final String? bio;  // Only included in JSON when non-null

Custom Value Extraction:

Object? customReadValue(Map map, String key) {
  // Custom logic to extract value from map
  return map['nested']?['deep']?[key];
}

@JsonKey(readValue: customReadValue)
final String value;

Priority Order for field deserialization:

1. fromJson function (highest priority)
2. converter (JsonTypeConverter)
3. Auto-matched converters (DateTime, Enum)
4. Safe type casting (SafeCasteUtil)
5. Direct assignment (lowest priority)

Annotations

@Dataforge

Configuration for the entire class.

Property	Type	Default	Description
name	String	""	Custom mixin name override (rarely needed)
includeFromJson	bool?	true	Generate fromJson method for deserialization
includeToJson	bool?	true	Generate toJson method for serialization
deepCopyWith	bool	true	Enable chained copyWith syntax (e.g., obj.copyWith.$field.value())

Examples:

@Dataforge()  // All defaults: fromJson ✓, toJson ✓, deepCopyWith ✓
class User with _User { ... }

@Dataforge(deepCopyWith: false)  // Disable chained copyWith
class SimpleModel with _SimpleModel { ... }

@Dataforge(includeFromJson: false, includeToJson: false)  // No JSON methods
class InternalModel with _InternalModel { ... }

@JsonKey

Configuration for individual fields.

Property	Type	Default	Description
name	String	""	Custom JSON key name (overrides field name)
alternateNames	List<String>	[]	Fallback keys to check if primary key is missing
ignore	bool	false	Exclude field from JSON serialization completely
includeIfNull	bool?	null	Control whether null values are included in toJson
readValue	Function?	null	Custom function to extract value from Map
converter	JsonTypeConverter?	null	Custom type converter class instance
fromJson	Function?	null	Custom deserialization function (highest priority)
toJson	Function?	null	Custom serialization function (highest priority)

Examples:

// Rename key
@JsonKey(name: 'user_name')
final String name;

// Multiple fallback names
@JsonKey(name: 'product_id', alternateNames: ['id', 'uuid'])
final String productId;

// Exclude from JSON
@JsonKey(ignore: true)
final String internalField;

// Conditional serialization
@JsonKey(includeIfNull: false)
final String? bio;

// Custom converter
@JsonKey(converter: PhoneNumberConverter())
final PhoneNumber phone;

// Inline functions (highest priority)
@JsonKey(fromJson: _parseDate, toJson: _formatDate)
final DateTime createdAt;

// Custom extraction logic
@JsonKey(readValue: _extractNestedValue)
final String deepValue;

Defaults

• Constructors: Your class must implement a constructor that initializes all final fields.
• Part File: The generator produces properties in a .data.dart file (configurable via build.yaml, but defaults to .data.dart based on builder).

Example with Annotations

@Dataforge(deepCopyWith: false)
class Product with _Product {
  @override
  @JsonKey(name: 'product_id', alternateNames: ['id', 'uuid'])
  final String id;

  @override
  @JsonKey(ignore: true)
  final String secretCode;

  @override
  final DateTime createdAt; // Automatically handled

  Product({
    required this.id,
    this.secretCode = '',
    required this.createdAt,
  });

  factory Product.fromJson(Map<String, dynamic> json) => _Product.fromJson(json);
}

CLI Tool (Faster Alternative)

For faster code generation, use the dataforge CLI instead of build_runner:

Installation

dart pub global activate dataforge_cli

Usage

# Generate for current directory (recursive)
dataforge .

# Generate for specific file
dataforge lib/models/user.dart

# Generate for specific directory
dataforge lib/models

# Debug mode (verbose output with timing metrics)
dataforge . --debug

Performance

The CLI tool is significantly faster than build_runner:

• Parallel Processing: Multi-threaded file processing with CPU-aware concurrency
• Smart Filtering: Only processes files with @Dataforge annotations
• Instant Output: Generates .data.dart files immediately alongside source files

Advanced Features

Custom Type Converters

Implement JsonTypeConverter<T, S> for custom serialization logic:

class PhoneNumberConverter extends JsonTypeConverter<PhoneNumber, String> {
  const PhoneNumberConverter();

  @override
  PhoneNumber? fromJson(String? json) {
    if (json == null) return null;
    return PhoneNumber.parse(json);
  }

  @override
  String? toJson(PhoneNumber? object) {
    return object?.toString();
  }
}

@Dataforge()
class Contact with _Contact {
  @override
  final String name;

  @override
  @JsonKey(converter: PhoneNumberConverter())
  final PhoneNumber phone;

  Contact({required this.name, required this.phone});
  factory Contact.fromJson(Map<String, dynamic> json) => _Contact.fromJson(json);
}

Custom fromJson/toJson Functions

For fine-grained control, use inline functions with @JsonKey:

String customStringFromJson(dynamic value) => 'custom_$value';
String customStringToJson(String value) => value.toUpperCase();

@Dataforge()
class CustomExample with _CustomExample {
  @override
  @JsonKey(fromJson: customStringFromJson, toJson: customStringToJson)
  final String name;

  CustomExample({required this.name});
  factory CustomExample.fromJson(Map<String, dynamic> json) => _CustomExample.fromJson(json);
}

Generic Types

Dataforge supports full generic type parameters:

@Dataforge()
class Result<T> with _Result<T> {
  @override
  final T? data;
  @override
  final String? error;
  @override
  final bool success;

  Result({this.data, this.error, required this.success});
  factory Result.fromJson(Map<String, dynamic> json) => _Result.fromJson(json);
}

// Usage:
final userResult = Result<User>.fromJson(json);
final listResult = Result<List<User>>.fromJson(json);

Null Safety and Default Values

@Dataforge()
class Config with _Config {
  @override
  final String name;           // Required field

  @override
  final String? nickname;      // Optional field (can be null)

  @override
  @JsonKey(includeIfNull: false)
  final String? bio;           // Excluded from JSON when null

  @override
  final int count;             // Required with default

  Config({
    required this.name,
    this.nickname,
    this.bio,
    this.count = 0,
  });

  factory Config.fromJson(Map<String, dynamic> json) => _Config.fromJson(json);
}

Collection Handling

Dataforge automatically handles List<T>, Set<T>, and Map<K, V> with proper type casting:

@Dataforge()
class Team with _Team {
  @override
  final List<User> members;           // List of Dataforge objects

  @override
  final List<String> tags;            // List of primitives

  @override
  final Map<String, int> scores;      // Map with primitive values

  @override
  final Set<String> uniqueIds;        // Set of primitives

  @override
  final List<int>? optionalScores;    // Nullable list

  Team({
    required this.members,
    required this.tags,
    required this.scores,
    required this.uniqueIds,
    this.optionalScores,
  });

  factory Team.fromJson(Map<String, dynamic> json) => _Team.fromJson(json);
}

// Usage with type casting:
final json = {
  'members': [{'name': 'Alice', 'age': 30}],  // Each item → User.fromJson()
  'tags': ['dev', 'frontend'],                 // Direct assignment
  'scores': {'alice': '100', 'bob': 95},       // "100" → 100 (type cast)
  'uniqueIds': ['id1', 'id2', 'id1'],          // Converted to Set (duplicates removed)
};

final team = Team.fromJson(json);

Collection Features:

• Automatic type casting of elements (e.g., ["1", "2"] → [1, 2])
• Nested Dataforge objects automatically deserialized
• Value equality using DeepCollectionEquality
• Null-safe handling of optional collections
• Conversion from JSON arrays to Dart Set<T>

Generated Code

For each @Dataforge() class, the generator creates:

• Mixin: _ClassName with all generated methods
• copyWith(): Traditional copy method with named parameters
• copyWith (chained): Advanced nested update syntax (when deepCopyWith: true)
• operator ==: Value equality using DeepCollectionEquality for collections
• hashCode: Efficient hashing with Object.hashAll
• toString(): Readable string representation
• fromJson(): Deserialization with type safety
• toJson(): Serialization handling enums, DateTime, and nested objects

Important Notes

Required Patterns

1. @override Annotation: All fields must have @override for the mixin pattern:

   @override
   final String name;  // ✓ Correct
   final String name;  // ✗ Missing @override
   

2. Factory Method: Must manually add fromJson factory:

   factory User.fromJson(Map<String, dynamic> json) => _User.fromJson(json);
   

3. Part Directive: Include generated file with part statement:

   part 'user.data.dart';
   

Best Practices

• Use @JsonKey(ignore: true) to exclude fields from JSON serialization
• Use alternateNames for backward compatibility with legacy APIs
• Use deepCopyWith: false for simple classes to reduce generated code size
• Use custom converters for complex types (e.g., colors, custom objects)
• Avoid circular references between classes (use ID references instead)
• For simple data classes without nesting, consider deepCopyWith: false to reduce code size
• Always add @override to fields - this is required for the mixin pattern

Performance Tips

• CLI vs build_runner: Use the CLI tool (dataforge .) for faster development cycles
• Parallel Generation: The CLI automatically processes files in parallel
• Selective Generation: Only annotate classes that need code generation
• Debug Mode: Use dataforge . --debug to identify bottlenecks in large projects

Comparison with Other Packages

Feature	Dataforge	json_serializable	freezed
JSON Serialization	✅	✅	✅
Immutable copyWith	✅	❌	✅
Deep/Chained copyWith	✅	❌	❌
Safe Type Casting	✅	❌	❌
CLI Tool	✅	❌	❌
Union Types	❌	❌	✅
Pattern Matching	❌	❌	✅
Mixin Pattern	✅	❌	❌
Code Size	Medium	Small	Large

When to choose Dataforge:

• Need nested immutable updates with chained copyWith
• Working with unreliable APIs that return inconsistent types
• Want faster code generation with the CLI tool
• Prefer mixin pattern over code generation into the same file

When to choose alternatives:

• Need union types → Use freezed
• Need pattern matching → Use freezed
• Want minimal generated code → Use json_serializable
• Already heavily invested in another ecosystem

Troubleshooting

Common Errors

Error: "Missing @override"

• Solution: Add @override annotation to all fields in the class

Error: "Ambiguous timestamp length"

• Solution: DateTime timestamps must be 10 digits (seconds) or 13 digits (milliseconds)

Error: "Circular dependency detected"

• Solution: Use @JsonKey(ignore: true) on one side or reference by ID instead

Build Configuration

Customize output file extension in build.yaml:

targets:
  $default:
    builders:
      dataforge:dataforge:
        enabled: true
        options:
          # Custom options here

builders:
  dataforge:
    import: "package:dataforge/builder.dart"
    builder_factories: ["dataforgeBuilder"]
    build_extensions: {".dart": [".data.dart"]}
    auto_apply: dependents
    build_to: source

Migration Guide

From json_serializable

If you're migrating from json_serializable:

1. Replace @JsonSerializable() with @Dataforge()
2. Change part 'user.g.dart' to part 'user.data.dart'
3. Add @override to all fields
4. Mix in generated code: class User with _User
5. Update factory: _$UserFromJson(json) → _User.fromJson(json)

From freezed

If you're migrating from freezed:

1. Replace @freezed with @Dataforge()
2. Change from abstract class to concrete class with mixin
3. Add explicit field declarations with @override
4. Keep the same copyWith and fromJson patterns

Support and Community

• Issues: GitHub Issues
• Documentation: pub.dev
• Examples: See example/ directory in the repository

License

This package is released under the MIT License. See LICENSE file for details.