这几项超好用的云开发扩展能力，别说你还不知道！

// 图像处理示例代码tcb.init({  env: "您的环境ID"});tcb.registerExtension(extCi);
async function process() {  try {    const opts = {      rules: [        {          // 处理结果的文件路径，如以’/’开头，则存入指定文件夹中，否则，存入原图文件存储的同目录          fileid: "/image_process/demo.jpeg",          rule: "imageView2/format/png" // 处理样式参数，与下载时处理图像在url拼接的参数一致        }      ]    };    const res = await tcb.invokeExtension("CloudInfinite", {      action: "ImageProcess",      cloudPath: "demo.jpeg", // 存储图像的绝对路径，与tcb.uploadFile中一致      fileContent, // 该字段可选，文件内容：Uint8Array|Buffer。有值，表示上传时处理图像；为空，则处理已经上传的图像      operations: opts    });    console.log(JSON.stringify(res.data, null, 4));  } catch (err) {    console.log(JSON.stringify(err, null, 4));  }}

// 获取图片临时链接const getImageUrl = async (fileID) => {  const { fileList } = await tcb.getTempFileURL({    fileList: [fileID]  })  return fileList[0].tempFileURL}
let originImageUrl = await getImageUrl(fileID)
let rule = `imageMogr2/thumbnail/!${width}x${height}r|imageMogr2/scrop/${width}x${height}/`
return  cutImageUrl = originImageUrl + '?' + rule

// 人脸识别示例代码const detectFace = (Image) => {
  let faceReq = new models.DetectFaceRequest()
  // 支持图片链接或图片base64数据  let query_string = JSON.stringify(Image.includes('http') ? {    Url: Image, // 这里是图片链接，以http开头    MaxFaceNum: 5,    NeedFaceAttributes: 1  } : {      Image, // 这里是图片Base64数据      MaxFaceNum: 5,      NeedFaceAttributes: 1    })
  // 传入json参数  faceReq.from_json_string(query_string);
  // 进行人脸识别  return new Promise((resolve, reject) => {    // 通过client对象调用想要访问的接口，需要传入请求对象以及响应回调函数    client.DetectFace(faceReq, function (error, response) {      // 请求异常返回，打印异常信息      if (error) {        const { code = '' } = error        console.log('code :', code);
        resolve({          data: {},          time: new Date(),          status: -10086,          message: 'DetectFace ' + status.DETECT_CODE[code] || code || '图片解析失败'        })        return      }      // 请求正常返回，打印response对象      resolve({        data: response,        time: new Date(),        status: 0,        message: ''      })    })  });}

// 图片安全审核，来自云开发扩展能力async function demo() {  try {    const opts = {      type: ["porn", "terrorist", "politics"]    }    const res = await tcb.invokeExtension('CloudInfinite',{      action:'DetectType',      cloudPath: "ab.png", // 需要分析的图像的绝对路径，与tcb.uploadFile中一致      operations: opts    })    console.log(JSON.stringify(res.data, null, 4));  } catch (err) {    console.log(JSON.stringify(err, null, 4));  }}

if (imageUrl) {  let prefex = imageUrl.includes('?') ? '|' : '?'  const list = ruleList.map(item => {    const { width, height, x, y } = item    let    let rule = prefex + 'imageMogr2/cut/' + width + 'x' + height + 'x' + x + "x" + y    return {      fileImageUrl: imageUrl + rule    }  })}

exports.main = async (event) => {  const { fileID = '', opacity = 1, colorType = 'default' } = event
  console.log('fileID :', fileID);
  if (fileID) {    try {      const imgUrl = await getImageUrl(fileID)
      // 云存储的图片临时链接拼接`?imageAve`      const res = await fetch.get(imgUrl + '?imageAve')      const { RGB } = getResCode(res)
      // 根据所需颜色的透明度（opacity）和类型（colorType）来返回对应的颜色值      const colorHex = '#' + RGB.substring(2)      const colorRgbaObj = hexToRgba(colorHex, opacity)      const colorRgba = colorRgbaObj.rgba      const colorRgb = `rgb(${colorRgbaObj.red}, ${colorRgbaObj.green}, ${colorRgbaObj.blue})`
      // 支持多种颜色获取方式      let mainColor = opacity === 1 ? colorHex : colorRgba      if (colorType === 'hex') {        mainColor = colorHex      } else if (colorType === 'rgb') {        mainColor = colorRgb      }
      return {        data: {          mainColor        },        time: new Date(),        status: 0,        message: ''      }
    } catch (error) {      return {        data: {},        time: new Date(),        status: -10087,        message: JSON.stringify(error)      }    }
  }
  return {    data: {},    time: new Date(),    status: -10086,    message: '请设置 fileID'  }}

let imgID = fileID.replace('cloud://', '')let index = let .indexOf('/')let cloudPath = imgID.substr(index)
const res = await tcb.invokeExtension("CloudInfinite", {  action: "DetectLabel",  cloudPath: cloudPath // 需要分析的图像的绝对路径，与tcb.uploadFile中一致})
const { Labels } = getResCode(res)// 兼容只有标签时为对象的情况const tmpLabels = Labels.length > 1 ? Labels : [Labels]
const list = tmpLabels.map(item => ({  confidence: item.Confidence,  name: item.Name}))