// This file is auto-generated, don't edit it
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import facebody20191230, * as $facebody20191230 from '@alicloud/facebody20191230';
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import {checkUploadFile} from '@/api/user'
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// 依赖的模块可通过下载工程中的模块依赖文件或右上角的获取 SDK 依赖信息查看
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import * as $OpenApi from '@alicloud/openapi-client';
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import Util, * as $Util from '@alicloud/tea-util';
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import ViapiUtil from '@alicloud/viapi-utils';
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import fs from 'fs';
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import { confingInfoStore } from '@/stores/StoresConfing'
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import {sendPationCodeApi} from './httpApi'
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import { sockteStore } from '@/stores/sockteInfo';
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var AipFaceClient = require("baidu-aip-sdk").face;
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// 设置APPID/AK/SK 百度人脸识别
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var APP_ID = "119524671";
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var API_KEY = "53x6fo60pAGACz078FyT2QpY";
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var SECRET_KEY = "r06aXtscuAk2SXHk1FsGM66aUCoGzncU";
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// 新建一个对象，建议只保存一个对象调用服务接口
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var clientBaidu = new AipFaceClient(APP_ID, API_KEY, SECRET_KEY);
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// 要识别的人脸库
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const faceDatabase= confingInfoStore().confingInfo.face_database
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const accessKeyId='LTAI5tPBxZiqgd9h6gcL9Qzc'
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const accessKeySecret='IE6nsjJMTul2ZHkeQ27bg4wmWIngTu'
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const client=null
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/**
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* 使用AK&SK初始化账号Client
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* @return Client
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* @throws Exception
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*/
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const createClient=()=>{
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let config = new $OpenApi.Config({
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// 必填，您的 AccessKey ID
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accessKeyId: 'LTAI5tPBxZiqgd9h6gcL9Qzc',
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// 必填，您的 AccessKey Secret
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accessKeySecret: 'IE6nsjJMTul2ZHkeQ27bg4wmWIngTu',
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});
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// 访问的域名
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config.endpoint = `facebody.cn-shanghai.aliyuncs.com`;
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return new facebody20191230(config);
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}
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// 将文件上传到oss
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const getOssUrl=async(baseURL64:any)=>{
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let file: string = baseURL64;
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let ossUrl: string = await ViapiUtil.upload(accessKeyId, accessKeySecret, file);
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return ossUrl
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}
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/**
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* 阿里云人脸识别
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* @param path 图片路径
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*/
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const faceShibie= async(path:any)=>{
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console.log('文件路径',path)
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const fileStream = fs.createReadStream(path);
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let client=createClient()
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// 通过本地文件
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const facedata= confingInfoStore().confingInfo.face_database
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const faceScore=confingInfoStore().confingInfo.face_score
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let searchFaceAdvanceRequest = new $facebody20191230.SearchFaceAdvanceRequest();
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searchFaceAdvanceRequest.imageUrlObject = fileStream;
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searchFaceAdvanceRequest.dbName = facedata
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searchFaceAdvanceRequest.limit = 2;
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let runtime = new $Util.RuntimeOptions({ });
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client.searchFaceAdvance(searchFaceAdvanceRequest, runtime).then(re=>{
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if(re.statusCode===200){
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const matchList=re.body.data?.matchList
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// console.log('得到的人脸库')
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console.log(matchList)
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if(matchList?.length>0){
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const faceItems =matchList[0].faceItems
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if(faceItems?.length===0){
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console.log('没有找到患者对应的人脸')
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return false
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}
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if(faceItems[0].score>=faceScore){
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const entityId=faceItems[0].entityId
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console.log(entityId,'得到了人脸识别id,存患者code到vuex')
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sockteStore().setfaceSockte({
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deviceType: "人脸识别",
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deviceName: "人脸识别",
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result: entityId,
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resultTime: ''
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})
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}else{
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console.log('没有找到患者对应的人脸')
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}
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}
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}
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}).finally(()=>{
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// console.log('---------------都要执行的')
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// 删除图片
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delImg(path)
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})
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}
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/**
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* 百度人脸识别
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* @param path base64
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*/
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const faceSearchBaidu=async(path:any)=>{
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const faceScore=confingInfoStore().confingInfo.face_score
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console.log('文件路径百度识别')
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try {
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var image = path; // 图片的 base64 数据，图片大小不超过 10M，支持 JPG、PNG、BMP、JPEG 格式
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var imageType = "BASE64";
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var groupIdList = confingInfoStore().confingInfo.clientCode; // 人脸库ID列表，多个用逗号分隔，最多支持20个
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// 调用人脸搜索
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clientBaidu.search(image, imageType, groupIdList).then(function(result: any) {
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console.log(result.error_msg==='SUCCESS','百度人脸识别成功');
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console.log(result.result.user_list);
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if(result.error_msg==='SUCCESS'){
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if(result.result.user_list.length>0){
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const userList=result.result.user_list
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const user=userList[0]
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const entityId=user.user_id
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const score=user.score
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console.log(`entityId=`+entityId+','+'score='+score)
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//设置识别的的两 要大于多少
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if(entityId!=='unknown'&&score>=faceScore){
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console.log(entityId,'得到了人脸识别id,存患者code到vuex')
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sockteStore().setfaceSockte({
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deviceType: "人脸识别",
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deviceName: "百度人脸识别",
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result: entityId,
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resultTime: new Date().toLocaleString(),
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})
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}
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}
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}
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}).catch(function(err: any) {
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// 如果发生网络错误
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console.log(err);
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});
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} catch (err:any) {
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console.error('发生错误:', err.message);
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}
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}
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// 验证---逻辑
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const yanzhengimg=async(path:any)=>{
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console.log('文件路径--逻辑',path)
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const fileStream = fs.createReadStream(path);
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let client=createClient()
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// 通过本地文件
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const facedata= confingInfoStore().confingInfo.face_database
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const faceScore=confingInfoStore().confingInfo.face_score
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let searchFaceAdvanceRequest = new $facebody20191230.SearchFaceAdvanceRequest();
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searchFaceAdvanceRequest.imageUrlObject = fileStream;
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searchFaceAdvanceRequest.dbName = facedata
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searchFaceAdvanceRequest.limit = 2;
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let runtime = new $Util.RuntimeOptions({ });
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client.searchFaceAdvance(searchFaceAdvanceRequest, runtime).then(re=>{
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if(re.statusCode===200){
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const matchList=re.body.data?.matchList
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// console.log('得到的人脸库')
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console.log(matchList)
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if(matchList?.length>0){
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const faceItems =matchList[0].faceItems
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if(faceItems?.length===0){
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console.log('没有找到患者对应的人脸')
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return false
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}
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if(faceItems[0].score>=faceScore){
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const entityId=faceItems[0].entityId
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console.log(entityId,'得到了人脸识别id,存患者code到vuex')
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sockteStore().setfaceSockte({
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deviceType: "人脸识别",
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deviceName: "人脸识别",
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result: entityId,
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resultTime: ''
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})
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}else{
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console.log('没有找到患者对应的人脸')
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}
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}
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}
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}).finally(()=>{
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// console.log('---------------都要执行的')
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// 删除图片
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delImg(path)
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})
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}
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/**
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* 本地人脸识别
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* @param path
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*/
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const faceApiCheck=async(path:any)=>{
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const faceScore=confingInfoStore().confingInfo.face_score
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fs.readFile(path, (err, data) => {
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if (err) throw err;
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let blobFile = new File([data], 'name.png', {type:"image/png"})
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console.log(blobFile)
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const formData = new FormData() // 下面有备注
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formData.append('image', blobFile)
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checkUploadFile(formData).then(re=>{
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console.log('-----',re)
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if(re.code===200&&re?.data?.data.result.length>0&&re?.data?.data.result[0]){
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const result=re?.data?.data.result[0]
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const entityId=result.user_id
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const distance=result.score
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console.log(`entityId=`+entityId+','+'distance='+distance)
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//设置识别的的两 要大于多少
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if(entityId!=='unknown'&&distance>=faceScore){
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console.log(entityId,'得到了人脸识别id,存患者code到vuex')
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console.log(entityId,'得到了人脸识别id,存患者code到vuex')
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sockteStore().setfaceSockte({
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type: "人脸识别",
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deviceName: "人脸识别",
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result: entityId,
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resultTime: '',
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state:2,
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})
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}
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//
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}else{
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console.log('本地没识别')
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}
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}).finally(()=>{
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// 删除图片
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delImg(path)
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})
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})
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}
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// base64z转文件后验证
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const base64toFile = (dataurl:any,filename='file') => {
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if (!fs.existsSync('./imgs')) {
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fs.mkdir('./imgs', (err) => {
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if (err) throw err
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console.log('文件夹创建成功')
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})
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}
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const path = './imgs/'+ Date.now() +'.png';
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const base64 = dataurl.replace(/^data:image\/\w+;base64,/,""); //去掉图片base64码前面部分data:image/png;base64
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// new Buffer 操作权限太大，v6.0后使用Buffer.from()创建构造函数
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const dataBuffer = new Buffer(base64, 'base64'); //把base64码转成buffer对象，
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// return dataBuffer
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fs.writeFile(path, dataBuffer, function (err) {
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if (err) {
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console.log(err);
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} else {
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// 是否本地识别
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const isLanFace= confingInfoStore().confingInfo.isLanFace
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// 人脸识别类型
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const faceType= confingInfoStore().confingInfo.faceType
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if(isLanFace===true){
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console.log('本地识别')
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//本地识别
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faceApiCheck(path)
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}else{
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//阿里验证外网
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if(faceType==='阿里云'){
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console.log('阿里识别')
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faceShibie(path)
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}else if(faceType==='百度'){
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console.log('百度识别')
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faceSearchBaidu(base64)
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//直接删除
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delImg(path)
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}else{
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console.log('阿里识别')
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faceShibie(path)
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}
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}
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} });
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}
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//验证后删除文件图片
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const delImg=(path:string)=>{
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fs.unlink(path,(err:any)=>{
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if(err){
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console.log('删除失败')
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}else{
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console.log('删除成功')
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}
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})
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}
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export {
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yanzhengimg,
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createClient,
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faceShibie,
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base64toFile
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}
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