Javascript - 将 javascript 对象数组转换为排序的键/值 javascript 对象

Question

我有一个不定大小的 JavaScript 对象数组:

var arr = [      
 {
        "Entities": 
          [
            {
              "BeginOffset": 28,
              "EndOffset": 35,
              "Score": 0.9945663213729858,
              "Text": "Tunisie",
              "Type": "LOCATION"
            },
            {
              "BeginOffset": 60,
              "EndOffset": 71,
              "Score": 0.8412493228912354,
              "Text": "Al HuffPost",
              "Type": "PERSON"
            },
            {
              "BeginOffset": 60,
              "EndOffset": 71,
              "Score": 0.9412493228912354,
              "Text": "trump",
              "Type": "PERSON"
            } 
          ],
        "File": "article1.com"
 },
 {
        "Entities": 
          [
            {
              "BeginOffset": 28,
              "EndOffset": 35,
              "Score": 0.9945663213729858,
              "Text": "france",
              "Type": "LOCATION"
            },
            {
              "BeginOffset": 60,
              "EndOffset": 71,
              "Score": 0.7412493228912354,
              "Text": "john locke",
              "Type": "PERSON"
            },
            {
              "BeginOffset": 60,
              "EndOffset": 71,
              "Score": 0.9412493228912354,
              "Text": "sawyer",
              "Type": "PERSON"
            } 
          ],
        "File": "anotherarticle.com"
      },
      {
        //and so on ...
 }
]

如何将其转换为键/值 Javascript 对象，其中每个文件提供与其关联的人员数组，而此数据仅对 type="person"和分数 > 0.8 进行过滤，并且在数组内进行排序从最高分数开始(当实体超过 1 人时)。

例如，上面的示例应输出:

var finalObject =    {
  "article1.com": ["trump", "Al HuffPost"],//tunisisa not here because entity is a LOCATION
  "anotherarticle.com": ["sawyer"] //john locke not here because score <0.8
}

我尝试以各种方式减少、映射和过滤，但总是失败。

Answer 1

下面的代码将通过将输入数组减少为对象、过滤掉不需要的实体、根据分数反向排序以及将剩余实体映射到其 Text 属性来创建请求的输出:

const result = arr.reduce((a, {Entities, File}) => {
  a[File] = Entities
              .filter(({Type, Score}) => Type === 'PERSON' && Score > 0.8)
              .sort((a, b) => b.Score - a.Score)
              .map(({Text}) => Text);
  return a;
}, {});

<小时/>

完整片段:

const arr = [{
    "Entities": [{
        "BeginOffset": 28,
        "EndOffset": 35,
        "Score": 0.9945663213729858,
        "Text": "Tunisie",
        "Type": "LOCATION"
      },
      {
        "BeginOffset": 60,
        "EndOffset": 71,
        "Score": 0.8412493228912354,
        "Text": "Al HuffPost",
        "Type": "PERSON"
      },
      {
        "BeginOffset": 60,
        "EndOffset": 71,
        "Score": 0.9412493228912354,
        "Text": "trump",
        "Type": "PERSON"
      }
    ],
    "File": "article1.com"
  },
  {
    "Entities": [{
        "BeginOffset": 28,
        "EndOffset": 35,
        "Score": 0.9945663213729858,
        "Text": "france",
        "Type": "LOCATION"
      },
      {
        "BeginOffset": 60,
        "EndOffset": 71,
        "Score": 0.7412493228912354,
        "Text": "john locke",
        "Type": "PERSON"
      },
      {
        "BeginOffset": 60,
        "EndOffset": 71,
        "Score": 0.9412493228912354,
        "Text": "sawyer",
        "Type": "PERSON"
      }
    ],
    "File": "anotherarticle.com"
  }
];

const result = arr.reduce((a, {Entities, File}) => {
  a[File] = Entities
              .filter(({Type, Score}) => Type === 'PERSON' && Score > 0.8)
              .sort((a, b) => b.Score - a.Score)
              .map(({Text}) => Text);
  return a;
}, {});

console.log(result);