在做微信小程序垃圾分類功能時，有用到拍照識別語音識別和文字識別，文字識別直接傳參，語音識別需要將語音轉化成文字，圖片識別需要將圖片轉化成base64格式傳參，通過調用京東云的接口來返回垃圾信息。具體實現(xiàn)我用了云函數(shù)來實現(xiàn)，具體步驟如下（無坑一步一步跟著走絕對能運行）

一、構建云函數(shù)

// 云函數(shù)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 _ = db.command/*** 因為京東neuhub平臺服務器崩潰，所以改用京東云垃圾分類API*//*** 京東API配置* 垃圾分類api* * 申請地址：https://www.jdcloud.com/cn/products/garbage-classification*/ let jdaiyuncofig = {accessKeyId: 'JDC_F0904F0F3B595D5B7221FEAw3802CF8',secretAccessKey: 'DEA78F8481A2C51112337F2F89BD3BA9F0B' //這里需要自己去京東云申請自己的密鑰，上面的密鑰是假的 }function getAuthorization() {let ctx = new Context('nativecontainer.internal.cn-north-1.jdcloud-api.com', '/jdai/*', 'POST', null, '', 'cn-north-1')ctx.buildNonce()let signer = new Signer(ctx, jdaiyuncofig)let auth = signer.sign(new Date())return auth }// 云函數(shù)入口函數(shù) exports.main = async (event, context) => {const wxContext = cloud.getWXContext()let {APPID,OPENID} = wxContextconst app = new TcbRouter({event})//提供通過文本進行垃圾分類查詢的能力app.router('garbageTextSearch', async (ctx, next) => {let {text,devIntegral} = eventlet auth = getAuthorization()ctx.body = axios.post(`https://aiapi.jdcloud.com/jdai/garbageTextSearch`, {text: text,cityId: '310000'}, {headers: {'Content-Type': 'application/json','Authorization': auth}}).then(res => {return res.data})})//獲取用戶openIDapp.router('openId', async (ctx, next) => {ctx.body = {openId: OPENID}})return app.serve()}

構建云函數(shù)時相應的插件如下，保存后通過工具=》構建npm來進行構建

{"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"} }

總結

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