如何在javascript中仅从数组对象获取基代码64？

我正在从json获取BaseCode64图像。所以从RESTAPI中，我得到了数组下的BaseCode64映像。我只想从javascript中的数组对象获取基本代码

我正在分享我的JSON示例

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]

我想删除数据：image/jpg；base64、[]和仅获取basecode值。在数组中。我只需要数组值ImageKey是关键。 如何获取最终的basecode64值。我看到了一个相关的链接，但我无法解决这个问题

我只想要

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 

如果您在浏览器中打开，则图像将创建。

您可以使用“regex”来获取您所关注的值，如下所示：

const regex=/ImageKey:data:image\/jpg；base64，\[（.*）\]/；
const str=`ImageKey:data:image/jpg；base64，[数据：image/jpg；base64/9j/4AAQSkZJRgABAQEAYABgAAD/2WBDAAyebqyfBaygbyhbwychakcgkjchqowwqfxqygbcufhyahshufghghsgr8tmc0omcuoksj/2WBDAqchbchbchmkhogykgokgokgokkgokkgokkgokkgokkkkkkgggggggkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk2.这一研究的目的是一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究方法，一种新的研究，一种新的研究方法，一种新的中国的中国中国的中国的中国的研究的一种新的研究方法，在一种新的中国中国的中国的中国政府的一级（2 2-2-2 2-8-6-8级中国中国政府在一个中国中国的中国政府在一个中国的研究中，6-8个中国政府在该文文文文中，即6-8 8个中国的中国中国的8 8 8 8个中国作为作为作为作为作为作为一个中国的一个中国的一个中国的中国的ZG5OKN在Q8VP09FB3+Pn6/9OdambairaxeapWd2ZLQNL+Arg2MW7JKlWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmWmW2.一个ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZFZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZFZZZZZFFZFZZFFZZFZFZZZZF5-222PZZZZZF5-2P56+BZZZZZZZZZZZZZZZZZZZZZZZZ6+ZZZZZZZZZZZZZZZZZZZZZZZZ5+ZZZZZ5+ZZZZZZZ5-2222222222222222222ZZZZZZZZZZ6+B6+B6+ZZZZZZZZZZZZZZUWTTJTKLJVVB726VPDS8DXV/AsS/u2T/Z+9XI3lzPPtn（3）vvvvxf（vvvxf）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 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8/+yrNvLtpJ1iX/Vp/d/epzXa7miZvljbzJf8Aab+7VAamoTq0UcC/L5nz2.ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZvvvvvvvvwbmvvvwwwbmvvvvwwwwbmvvvvvvvvvvvvvvvvvvvvvvvvvvvwwwwwwwwwwwwwwg，wwwwwwwwwwwwwwwwg，vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvzzzzzzzzzvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv3ACDCXBJARR977RVVZFUT91L+9t/u/wB7/gNGjzr+8ST+KrF5uhbcq/NH93/aV4.在中国的一个城市中，有一个8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 fM3/fNWLVttsq/xMys1c/DuluWVm+826ui022）2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 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consoLe.log(string.split(",")[ ].replace("]", ""))  
</script>   
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