From e971a9cf298121d20e6b188e8f19adcb225a6ab9 Mon Sep 17 00:00:00 2001
From: chenyc <501753378@qq.com>
Date: 星期五, 29 十一月 2024 12:25:29 +0800
Subject: [PATCH] 更新通讯
---
src/samples/faceApi.ts | 112 +++++++++++++++++++++++++++++++++++++++++++++++--------
1 files changed, 95 insertions(+), 17 deletions(-)
diff --git a/src/samples/faceApi.ts b/src/samples/faceApi.ts
index 24c1117..fa1f959 100644
--- a/src/samples/faceApi.ts
+++ b/src/samples/faceApi.ts
@@ -1,5 +1,6 @@
// This file is auto-generated, don't edit it
import facebody20191230, * as $facebody20191230 from '@alicloud/facebody20191230';
+import {checkUploadFile} from '@/api/user'
// 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
import * as $OpenApi from '@alicloud/openapi-client';
import Util, * as $Util from '@alicloud/tea-util';
@@ -8,6 +9,8 @@
import { confingInfoStore } from '@/stores/StoresConfing'
import {sendPationCodeApi} from './httpApi'
import { sockteStore } from '@/stores/sockteInfo';
+import { type } from 'os';
+
// 要识别的人脸库
const faceDatabase= confingInfoStore().confingInfo.face_database
@@ -28,7 +31,6 @@
});
// 访问的域名
config.endpoint = `facebody.cn-shanghai.aliyuncs.com`;
- console.log('人脸识别客户端已启动')
return new facebody20191230(config);
}
// 将文件上传到oss
@@ -42,27 +44,28 @@
* @param path 图片路径
*/
const faceShibie= async(path:any)=>{
+ console.log('文件路径',path)
const fileStream = fs.createReadStream(path);
let client=createClient()
// 通过本地文件
const facedata= confingInfoStore().confingInfo.face_database
const faceScore=confingInfoStore().confingInfo.face_score
- console.log(facedata,'人脸数据库')
let searchFaceAdvanceRequest = new $facebody20191230.SearchFaceAdvanceRequest();
searchFaceAdvanceRequest.imageUrlObject = fileStream;
searchFaceAdvanceRequest.dbName = facedata
searchFaceAdvanceRequest.limit = 2;
let runtime = new $Util.RuntimeOptions({ });
- console.log('-----监测图片--')
client.searchFaceAdvance(searchFaceAdvanceRequest, runtime).then(re=>{
- // console.log('返回结果')
- // console.log(re.statusCode)
if(re.statusCode===200){
const matchList=re.body.data?.matchList
// console.log('得到的人脸库')
console.log(matchList)
if(matchList?.length>0){
const faceItems =matchList[0].faceItems
+ if(faceItems?.length===0){
+ console.log('没有找到患者对应的人脸')
+ return false
+ }
if(faceItems[0].score>=faceScore){
const entityId=faceItems[0].entityId
console.log(entityId,'得到了人脸识别id,存患者code到vuex')
@@ -73,7 +76,7 @@
resultTime: ''
})
}else{
- console.log('那些人脸都不是')
+ console.log('没有找到患者对应的人脸')
}
}
@@ -84,7 +87,70 @@
delImg(path)
})
}
-// base64z转文件后验证
+// 验证---逻辑
+const yanzhengimg=async(path:any)=>{
+ console.log('文件路径--逻辑',path)
+ const fileStream = fs.createReadStream(path);
+ let client=createClient()
+ // 通过本地文件
+ const facedata= confingInfoStore().confingInfo.face_database
+ const faceScore=confingInfoStore().confingInfo.face_score
+ let searchFaceAdvanceRequest = new $facebody20191230.SearchFaceAdvanceRequest();
+ searchFaceAdvanceRequest.imageUrlObject = fileStream;
+ searchFaceAdvanceRequest.dbName = facedata
+ searchFaceAdvanceRequest.limit = 2;
+ let runtime = new $Util.RuntimeOptions({ });
+ client.searchFaceAdvance(searchFaceAdvanceRequest, runtime).then(re=>{
+ if(re.statusCode===200){
+ const matchList=re.body.data?.matchList
+ // console.log('得到的人脸库')
+ console.log(matchList)
+ if(matchList?.length>0){
+ const faceItems =matchList[0].faceItems
+ if(faceItems?.length===0){
+ console.log('没有找到患者对应的人脸')
+ return false
+ }
+ if(faceItems[0].score>=faceScore){
+ const entityId=faceItems[0].entityId
+ console.log(entityId,'得到了人脸识别id,存患者code到vuex')
+ sockteStore().setfaceSockte({
+ deviceType: "人脸识别",
+ deviceName: "人脸识别",
+ result: entityId,
+ resultTime: ''
+ })
+ }else{
+ console.log('没有找到患者对应的人脸')
+ }
+ }
+
+ }
+ }).finally(()=>{
+ // console.log('---------------都要执行的')
+ // 删除图片
+ // delImg(path)
+ })
+}
+const faceApiCheck=async(path:any)=>{
+ fs.readFile(path, (err, data) => {
+ if (err) throw err;
+ let blobFile = new File([data], 'name.png', {type:"image/png"})
+ console.log(blobFile)
+ const formData = new FormData() // 下面有备注
+ formData.append('file', blobFile)
+ checkUploadFile(formData).then(re=>{
+ console.log('-----',re)
+ }).finally(()=>{
+ // 删除图片
+ delImg(path)
+ })
+ })
+
+
+
+ }
+ // base64z转文件后验证
const base64toFile = (dataurl:any,filename='file') => {
if (!fs.existsSync('./imgs')) {
fs.mkdir('./imgs', (err) => {
@@ -97,16 +163,26 @@
// new Buffer 操作权限太大，v6.0后使用Buffer.from()创建构造函数
const dataBuffer = new Buffer(base64, 'base64'); //把base64码转成buffer对象，
// return dataBuffer
- fs.writeFile(path, dataBuffer, function(err){//用fs写入文件
- if(err){
- console.log(err);
- }else{
- console.log('写入成功！',path);
- // getOssUrl(path)
- // 验证图片
- faceShibie(path)
- }
- })
+ fs.writeFile(path, dataBuffer, function (err) {
+ if (err) {
+ console.log(err);
+ } else {
+ // console.log('写入成功！验证阿里', path);
+ // getOssUrl(path)
+ // 验证图片
+ // 是否本地识别
+ const isLanFace= confingInfoStore().confingInfo.isLanFace
+ if(isLanFace===true){
+ //本地识别
+ faceApiCheck(path)
+ }else{
+ //阿里验证外网
+ faceShibie(path)
+ }
+
+
+ }
+ })
}
//验证后删除文件图片
const delImg=(path:string)=>{
@@ -118,7 +194,9 @@
}
})
}
+
export {
+ yanzhengimg,
createClient,
faceShibie,
base64toFile
--
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