从嵌套的JSON响应中获取特定值以将其转换为字符串

问题描述

我正在JavaScript Web应用程序中使用Microsoft Azure Cognitive Services文本识别API。

从图像中成功提取文本后，将给出如下响应：

    {
      "language": "en","textAngle": 0,"orientation": "Up","regions": [
        {
          "boundingBox": "238,220,3547,2476","lines": [
            {
              "boundingBox": "415,104,45","words": [
                {
                  "boundingBox": "415,"text": "096"
                }
              ]
            },{
              "boundingBox": "473,374,2854,202","words": [
                {
                  "boundingBox": "473,418,1092,139","text": "Storehouse"
                },{
                  "boundingBox": "1635,410,149,142","text": "is"
                },{
                  "boundingBox": "1854,406,666,170","text": "always"
                },{
                  "boundingBox": "2596,731,183","text": "moving"
                }
              ]
            },{
              "boundingBox": "445,614,2744,200","words": [
                {
                  "boundingBox": "445,641,788,173","text": "forward,"
                },{
                  "boundingBox": "1310,640,350,145","text": "and"
                },{
                  "boundingBox": "1739,668,400,113","text": "Now"
                },{
                  "boundingBox": "2200,621,369,151","text": "this"
                },{
                  "boundingBox": "2647,542,147","text": "issue"
                }
              ]
            }
          ]
        }
      ]
    }

我希望能够分别获取'text'的值来生成字符串，例如：'仓库总是在向前发展，现在这个问题 ...

请问如何使用JavaScript进行此操作？我想尝试访问嵌套的“文本”值会感到困惑。尝试了for-for-for循环而没有喜悦！

API确实使用以下方法将JSON响应解析为字符串：

JSON.stringify(data,null,2);

“ data”是JSON响应的名称。我知道必须先将其解析为数组，然后才能进行任何操作，但是不确定。

我可以使用jQuery。

干杯！

解决方法

一种迭代，简单的解决方案。

const tmp = {
  "language": "en","textAngle": 0,"orientation": "Up","regions": [
    {
      "boundingBox": "238,220,3547,2476","lines": [
        {
          "boundingBox": "415,104,45","words": [
            {
              "boundingBox": "415,"text": "096"
            }
          ]
        },{
          "boundingBox": "473,374,2854,202","words": [
            {
              "boundingBox": "473,418,1092,139","text": "Storehouse"
            },{
              "boundingBox": "1635,410,149,142","text": "is"
            },{
              "boundingBox": "1854,406,666,170","text": "always"
            },{
              "boundingBox": "2596,731,183","text": "moving"
            }
          ]
        },{
          "boundingBox": "445,614,2744,200","words": [
            {
              "boundingBox": "445,641,788,173","text": "forward,"
            },{
              "boundingBox": "1310,640,350,145","text": "and"
            },{
              "boundingBox": "1739,668,400,113","text": "now"
            },{
              "boundingBox": "2200,621,369,151","text": "this"
            },{
              "boundingBox": "2647,542,147","text": "issue"
            }
          ]
        }
      ]
    }
  ]
}

const outputWords = []

tmp.regions.forEach(region => 
  region.lines.forEach(line => 
    line.words.forEach(word => 
      outputWords.push(word.text)
    )
  )
)

console.log(outputWords.join(' '))