从JSON Web服务下载的映像下载映像时,OSX App无法识别选择器错误

时间:2015-10-18 17:00:28

标签: objective-c json macos nsdata nsimage

在我的Mac应用程序中,我从嘿JSON Web服务获取数据,其中一个字段是图像。当我执行NSLog(@"%@", [dict valueForKeyPath:@"profileImageDataString"] );时,我会看到所有数据并且它是正确的。我也可以将它放在像NSURL *imgUrl = [dict valueForKeyPath:@"profileImageDataString"];这样的NSURL对象中,它仍然是正确的。但是,当我尝试此NSData *imgData = [NSData dataWithContentsOfURL:imgUrl];或此NSImage *userImage = [[NSImage alloc] initWithContentsOfURL:imgUrl];时,我将错误无法识别的选择器发送到实例。如果我将数据放在NSString中,最后会截断三分之二。

我正在尝试将来自Jason Web服务的图像数据保存到文本文件中,之后可以在用户设置视图中将其加载到NSImage中。

有人告诉我,我做错了什么?

这是Web服务返回的profileImageDataString的值;

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

2 个答案:

答案 0 :(得分:1)

字符串似乎是图像的base64编码字符串表示。

尝试从字符串创建NSData对象,并从数据中创建图像。

NSString *imgDataString = [dict objectForKey:@"profileImageDataString"];
NSData *imgData = [[NSData alloc] initWithBase64EncodedString:imgDataString options:0];
NSImage *userImage = [[NSImage alloc] initWithData:imgData];

答案 1 :(得分:0)

  

我也可以将它放在NSURL对象中,如NSURL * imgUrl = [dict valueForKeyPath:@" profileImageDataString"];它仍然是正确的。

您还没有NSURL个对象。您有NSString个对象。声明您的指针引用NSURL并使用无类型的getter valueForKeyPath:(或者,更正确地,objectForKey:)并不会更改对象的类型。

要将字符串转换为网址,请使用+[NSURL URLWithString:]。但是,您向我们展示的不是网址。那么为什么要试着把它变成一个呢?

  

但是当我尝试这个NSData * imgData = [NSData dataWithContentsOfURL:imgUrl];或者这个NSImage * userImage = [[NSImage alloc] initWithContentsOfURL:imgUrl];我收到错误无法识别的选择器发送到实例。

这是因为您提供NSString,而NSURL没有实现与NSLog相同的选择器。

  

如果我将数据放入NSString中,最后会截断三分之二。

不,它不是;但是,当您记录任何对象时,您获得的所有信息都足以帮助您进行调试。使用<link rel="stylesheet" href="/Bootstrap/css/bootstrap.css"> <!-- Optional theme --> <link rel="stylesheet" href="/Bootstrap/css/bootstrap-theme.min.css"> <!-- Latest compiled and minified JavaScript --> <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11./jquery.min.js"></script> <script href="/Bootstrap/js/bootstrap.min.js"></script> 并不是一种以另一种形式存储相同数量的数据的方法,或者除了帮助您调试之外,确实可以做任何严格定义的事情。

获取你的字符串,使用vadian建议的方法。