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iOS学习之KVC原理

1. KVC的实现原理

  • 遍历字典里面所有的key,以name为例
  •  去模型中查找有没有setName:方法,有就直接调用赋值

  •  假如没有找到setName:方法,就会继续查找有没有_name属性,有就_name = value赋值

  •  假如没有找到_name,还会继续查找模型中有没有name属性

  •  最终没有找到,就会直接报错

  报错信息:

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

2. KVC原理的使用

 KVC主要用于model的赋值,model最好定义我们想要的属性,但是有时会和我们得到的数据有一些不同,以下是几种常见情况:

  • 当我们取到的数据多于model的属性时,根据KVC原理就会出现上述的错误,解决办法:在model的.m文件中重写setValue:forUndefinedKey:方法
#import "ZFFlag.h"@implementation ZFFlag- (void)setValue:(id)value forUndefinedKey:(NSString *)key{  }@end

  • 当我们需要的属性的类型和得到的数据的类型不同,解决办法:重写属性的setter方法(根据KVC的查找顺序可知)

  假如在视图中需要一张图片,但是得到的数据中一般是图片名,也就是一个 NSString * 类型的数据,具体解决办法请看代码

#import <Foundation/Foundation.h>#import <UIKit/UIKit.h>@interface ZFFlag : NSObject@property (nonatomic, strong) NSString *name;@property (nonatomic, strong) UIImage *icon;// 重写icon的setter方法,注意类型为得到的数据中该属性的类型- (void)setIcon:(NSString *)icon{  _icon = [UIImage imageNamed:icon];}// 防崩- (void)setValue:(id)value forUndefinedKey:(NSString *)key{  }@end

#import "ZFFlagView.h"#import "ZFFlag.h"@interface ZFFlagView ()@property (weak, nonatomic) IBOutlet UILabel *label;@property (weak, nonatomic) IBOutlet UIImageView *imageView;@end@implementation ZFFlagView- (void)setFlag:(ZFFlag *)flag{  _flag = flag;    // 给子控件赋值  _label.text = flag.name;  _imageView.image = flag.icon;}@end

 




原标题:iOS学习之KVC原理

关键词:IOS

IOS
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