在做微信小程序垃圾分类功能时，有用到拍照识别语音识别和文字识别，文字识别直接传参，语音识别需要将语音转化成文字，图片识别需要将图片转化成base64格式传参，通过调用京东云的接口来返回垃圾信息。具体实现我用了云函数来实现，具体步骤如下（无坑一步一步跟着走绝对能运行）
一、构建云函数
// 云函数入口文件const cloud = require('wx-server-sdk')const TcbRouter = require('tcb-router');const axios = require('axios');const {Context,Signer} = require('jdcloud-sdk-signer')cloud.init({env: ""})let db = cloud.database()const _ = mand/*** 因为京东neuhub平台服务器崩溃，所以改用京东云垃圾分类API*//*** 京东API配置* 垃圾分类api* * 申请地址：/cn/products/garbage-classification*/let jdaiyuncofig = {accessKeyId: 'JDC_F0904F0F3B595D5B7221FEAw3802CF8',secretAccessKey: 'DEA78F8481A2C51112337F2F89BD3BA9F0B'//这里需要自己去京东云申请自己的密钥，上面的密钥是假的}function getAuthorization() {let ctx = new Context('-north-1.jdcloud-', '/jdai/*', 'POST', null, '', 'cn-north-1')ctx.buildNonce()let signer = new Signer(ctx, jdaiyuncofig)let auth = signer.sign(new Date())return auth}// 云函数入口函数exports.main = async (event, context) => {const wxContext = cloud.getWXContext()let {APPID,OPENID} = wxContextconst app = new TcbRouter({event})//提供通过文本进行垃圾分类查询的能力app.router('garbageTextSearch', async (ctx, next) => {let {text,devIntegral} = eventlet auth = getAuthorization()ctx.body = axios.post(`/jdai/garbageTextSearch`, {text: text,cityId: '310000'}, {headers: {'Content-Type': 'application/json','Authorization': auth}}).then(res => {return res.data})})//获取用户openIDapp.router('openId', async (ctx, next) => {ctx.body = {openId: OPENID}})return app.serve()}
构建云函数时相应的插件如下，保存后通过工具=》构建npm来进行构建
{"name": "api","version": "1.0.0","description": "","main": "index.js","scripts": {"test": "echo \"Error: no test specified\" && exit 1"},"author": "","license": "ISC","dependencies": {"axios": "^0.20.0","debug": "^4.3.1","jdcloud-sdk-signer": "^2.0.2","md5-node": "^1.0.1","qs": "^6.9.4","tcb-router": "^1.1.2","wx-server-sdk": "~2.5.3"}}
