Changed #

• 优化扫描流程：先进行快速注解检测，再进行AST解析

Added #

• isEnum 支持：
  • FromJson: 自动使用 EnumType.values.byName 恢复枚举
  • ToJson: 输出 enumValue?.name
• 传递实体文件导入：生成的 .g.dart 将包含实体源文件中的 import（过滤掉 json_field.dart、dart:convert、.g.dart、自导入、json_convert_content.dart）。

Changed #

• 对齐 IDE 插件导入策略，避免缺失业务依赖

Fixed #

• 多处边界场景的空安全与类型判断

Added #

• Initial release of FlutterJsonBeanFactory CLI
• Cross-platform support for Windows, macOS, and Linux
• AI-driven code generation using package:analyzer for precise AST parsing
• Support for @JsonSerializable() and @JSONField() annotations
• Automatic generation of:
  • json_field.dart - JSON field annotation definitions
  • json_convert_content.dart - JSON conversion utilities
  • *.g.dart files - Entity serialization helpers with copyWith extensions
• Configuration via pubspec.yaml and command-line arguments
• Automatic import resolution for nested entities and Flutter UI types
• Smart cleanup of outdated generated files
• Comprehensive logging with configurable levels
• CI/CD integration examples for GitHub Actions and Jenkins

Features #

• Precise Output Matching: Generated code exactly matches the original FlutterJsonBeanFactory plugin output
• Empty Class Support: Proper handling of empty classes with @JsonSerializable() annotation
• Generic Type Support: Full support for List<T>, nested models, and complex data structures
• Field-level Annotations: Support for @JSONField() with custom JSON keys and serialization control
• Automatic Dependency Resolution: Smart detection and addition of necessary imports
• Model Suffix Configuration: Configurable suffix for generated model files

Technical Details #

• Built with Dart 3.0+ and Flutter 3.0+ support
• Uses package:analyzer for accurate code analysis
• Leverages AI technology for pattern recognition and code generation
• Compatible with existing FlutterJsonBeanFactory projects
• Zero breaking changes from original plugin behavior

Acknowledgments #

• Based on the original FlutterJsonBeanFactory plugin
• Special thanks to @fluttercandies for the excellent original work
• AI-driven development approach for precise feature replication