当前位置：网站首页>Some Chinese character codes in the user privacy agreement are not standardized, which leads to the display of garbled codes on the web page. It needs to be found and handled uniformly

Some Chinese character codes in the user privacy agreement are not standardized, which leads to the display of garbled codes on the web page. It needs to be found and handled uniformly

2022-07-02 14:48:00 【Xu Tongbao】 

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <meta http-equiv="X-UA-Compatible" content="IE=edge" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title> Process the agreement file </title>
    <style>
      .m-source {
        font-size: 30px;
        color: #f66f0c;
      }
      .m-reslut {
        font-size: 30px;
        color: green;
      }
      .m-text {
        white-space: pre-wrap;
        width: 100%;
      }
    </style>
  </head>
  <body>
    <div>
      <div class="m-source"> Source protocol ：</div>
      <!--  Copy the text of the agreement document on the flybook to the following div in  -->
      <div id="source" class="m-text">
         One 、 individual ⼈ Information definition and scope 
        
        （⼀） individual ⼈ Information ： Refers to electricity ⼦ Or other ⽅ Capable of being recorded independently or in combination with other information , Identify specific ⾃ however ⼈ Identity or reflect specific ⾃ however ⼈ Information about activities .
        （⼆） individual ⼈ Sensitive information ： Including ID number 、⼿ Machine number 、 individual ⼈⽣ Object identification information 、 silver ⾏ account number 、 Property information 、⾏ Track 、  Transaction information 、 Under 14 （ contain ）⼉ Tong's one ⼈ Information, etc .
        （ 3、 ... and ） There are... Involved in this privacy policy ⼈ Information and ⼈ Sensitive information mainly includes ：
        1.  Basic information of users ： full name 、 Gender 、 individual ⼈ Phone number 、 Mailing address 、 grade 、 School, etc ;
        2. ⽹ Network identity information ： System account number （ Including the third ⽅）、IP Address / The type of browser 、 Telecom operators and passwords related to the foregoing 、 nickname 、 Head etc. ;
        3. BesTV Cloud lesson makes ⽤ data ： Browsing and clicking records 、 Software make ⽤ Record 、 adopt ⻨ g ⻛ transport ⼊ And so on ;
        4.  individual ⼈ often ⽤ Equipment information ： Model of equipment 、 Operating system version 、 devices setting up 、 Unique device identifier and other software and hardware characteristic information ;
        5.  individual ⼈ Location information ： Such as through GPS、 Bluetooth or WiFi Position information obtained by signal, etc ;
        6.  send ⽤ Third ⽅ Service production ⽣ The capital of ⾦ flow ⽔ Record .
        
      </div>
      <div class="m-reslut"> add to 【】 Find out the garbled words ：</div>
      <div id="result" class="m-text"></div>
      <div class="m-reslut"> The garbled code has been eliminated ：</div>
      <div id="well-result" class="m-text"></div>
    </div>
    <script>
      //const source = `01abA Use B people `
      //const source = `“BesTV Cloud class ”`
      const source = document.getElementById('source').innerHTML

      const findBug = (value) => {
        const start = 0x4e00
        const end = 0x9fa5
        let result = []
        let count = 0
        let leftArr = []
        ;[...value].forEach((item) => {
          const current = item.charCodeAt()
          //console.log(item, current)
          if (
            0x2000 <= current &&
            current <= 0x2fff &&
            current !== 8220 &&
            current != 8221
          ) {
            result.push(`【${item}】`)
            count++
            leftArr.push(item)
          } else {
            result.push(item)
          }
        })
        return { result, count, leftArr }
      }
      const step1 = () => {
        let { result, count, leftArr } = findBug(source)
        const resultStr = result.join('')
        document.getElementById('result').innerHTML = resultStr
        console.log('##### First step #####')
        console.log(' The number of garbled words ,：', count)
        const unique = [...new Set(leftArr)]
        console.log(' Garbled word array （ After weight removal ）', unique.length, unique)
      }
      
      // Fill in the text that needs to be replaced , Regular expressions are garbled words 
      const doReplace = () => {
        // '⽅', '⼀', '⼆', '⼦', '⼿', '⽣', '⾏', '⼉', '⽹', '⻨',
        // '⻛', '⼊', '⾦', '⽔', '⽬', '⽌', '⼯', '⻚', '⾯', '⽀',
        // '⽚', '⾥', '⼝', '⼤', '⼜', '⽆', '⼩', '⾼', '⻔', '⽽',
        // '⾔', '⼒', '⼰', '⾜', '⾮', '⻓', '⽴', '⽇'
        // '⼈', '⾃', '⽤', '⻅', '⽂'
        let wellResult = source
          .replace(/⽅/g, ' Fang ')
          .replace(/⼀/g, ' One ')
          .replace(/⼆/g, ' Two ')
          .replace(/⼦/g, ' Son ')
          .replace(/⼿/g, ' hand ')
          .replace(/⽣/g, ' raw ')
          .replace(/⾏/g, ' That's ok ')
          .replace(/⼉/g, ' son ')
          .replace(/⽹/g, ' network ')
          .replace(/⻨/g, ' wheat ')

          .replace(/⻛/g, ' wind ')
          .replace(/⼊/g, ' Enter into ')
          .replace(/⾦/g, ' gold ')
          .replace(/⽔/g, ' water ')
          .replace(/⽬/g, ' Objective ')
          .replace(/⽌/g, ' stop ')
          .replace(/⼯/g, ' work ')
          .replace(/⻚/g, ' page ')
          .replace(/⾯/g, ' Noodles ')
          .replace(/⽀/g, ' the ')

          .replace(/⽚/g, ' slice ')
          .replace(/⾥/g, ' in ')
          .replace(/⼝/g, ' mouth ')
          .replace(/⼤/g, ' Big ')
          .replace(/⼜/g, ' also ')
          .replace(/⽆/g, ' nothing ')
          .replace(/⼩/g, ' Small ')
          .replace(/⾼/g, ' high ')
          .replace(/⻔/g, ' door ')
          .replace(/⽽/g, ' and ')

          .replace(/⾔/g, ' said ')
          .replace(/⼒/g, ' force ')
          .replace(/⼰/g, ' Oneself ')
          .replace(/⾜/g, ' foot ')
          .replace(/⾮/g, ' Not ')
          .replace(/⻓/g, ' Long ')
          .replace(/⽴/g, ' state ')
          .replace(/⽇/g, ' Japan ')

          .replace(/⼈/g, ' people ')
          .replace(/⾃/g, ' since ')
          .replace(/⽤/g, ' use ')
          .replace(/⻅/g, ' see ')
          .replace(/⽂/g, ' writing ')

        return wellResult
      }

      const step2 = () => {
        let { result, count, leftArr } = findBug(doReplace(source))
        const resultStr = result.join('')
        document.getElementById('well-result').innerHTML = resultStr
        console.log('##### The second step #####')
        console.log(' The number of garbled words ：', count, leftArr)
        const wellUnique = [...new Set(leftArr)]
        console.log(' Garbled word array （ After weight removal ）', wellUnique.length, wellUnique)
      }
      
      const init = () => {
        // The first step is to find out the garbled words 
        step1()
        // Replace garbled text 
        step2()
      }
      init()
    </script>
  </body>
</html>

原网站

版权声明
本文为[Xu Tongbao]所创，转载请带上原文链接，感谢
https://yzsam.com/2022/183/202207021120087696.html

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