django中websocket的具体使用
websocket是一种持久化的协议,HTTP协议是一种无状态的协议,在特定场合我们需要使用长连接,做数据的实时更新,这种情况下我们就可以使用websocket做持久连接。http与websocket二者存在交集。
后端:
from dwebsocket.decorators import accept_websocket import json # 存储连接websocket的用户 clist = [] @accept_websocket def websocketLink(request): # 获取连接 if request.is_websocket: # 新增 用户 连接信息 clist.append(request.websocket) # 监听接收客户端发送的消息 或者 客户端断开连接 for message in request.websocket: break # 发送消息 def websocketMsg(client, msg): b1 = json.dumps(msg,ensure_ascii=False).encode('utf-8') client.send(b1) # 服务端发送消息 def sendmsg(): sql = "select * from customer" res = db1.find_all(sql) if len(clist)>0: for i in clist: i.send(json.dumps({'list': res},ensure_ascii=False).encode('utf-8')) # websocketMsg(i, {'list': res}) return HttpResponse("ok") from apscheduler.schedulers.blocking import BlockingScheduler def getecharts(request): scheduler = BlockingScheduler() scheduler.add_job(sendmsg,'interval',seconds=1) scheduler.start() return HttpResponse('ok')
前端:
<template> <div class="bgpic"> <van-row style="padding-top: 10px;padding-bottom: 10px"> <van-col span="8"> <div id="weekmain" style="width: 400px;height: 300px"></div> </van-col> <van-col span="8">http://api.map.baidu.com/marker </van-col> <van-col span="8"> <div id="monthmain" style="width: 400px;height: 300px"></div> </van-col> </van-row> <van-row> <van-col span="8"></van-col> <van-col span="8"></van-col> <van-col span="8">{{infolist1}}</van-col> </van-row> </div> </template> <script> import * as echarts from 'echarts'; // import myaxios from "../../../https/myaxios"; import axios from 'axios'; import {reactive} from 'vue'; export default { name: "myweek", setup(){ let infolist1 = reactive({"data":[]}) // let mydata = reactive([]) const initdata=()=>{ var socket = new WebSocket("ws:127.0.0.1:8000/websocketLink"); socket.onopen = function () { console.log('连接成功');//成功连接上Websocket }; socket.onmessage = function (e) { // alert('消息提醒: ' + e.data); //打印服务端返回的数据 infolist1.data = e.data console.log(e.data) // mydata = infolist1.list // console.log(mydata) }; socket.onclose=function(e){ console.log(e); socket.close(); //关闭TCP连接 }; } return{ infolist1, initdata } }, data(){ return{ infolist:[], } }, methods:{ mget(){ axios.get("http://127.0.0.1:8000/getecharts").then(res=>{ console.log(res) }) }, infoshow(){ axios.get("http://localhost:8000/infoshow","get").then(res=>{ this.infolist=res.data.list this.getmonth() this.mget() }) }, getmonth(){ var chartDom = document.getElementById('monthmain'); var myChart = echarts.init(chartDom); var option; // prettier-ignore let dataAxis = []; // prettier-ignore let data = []; for(let i=0;i<this.infolist.length;i++){ dataAxis.push(this.infolist[i]["name"]) data.push(this.infolist[i]["tmoney"]) } let yMax = 10000; let dataShadow = []; for (let i = 0; i < data.length; i++) { dataShadow.push(yMax); } option = { title: { text: '特性示例:渐变色 阴影 点击缩放', subtext: 'Feature Sample: Gradient Color, Shadow, Click Zoom' }, xAxis: { data: dataAxis, axisLabel: { inside: true, color: '#fff' }, axisTick: { show: false }, axisLine: { show: false }, z: 10 }, yAxis: { axisLine: { show: false }, axisTick: { show: false }, axisLabel: { color: '#999' } }, dataZoom: [ { type: 'inside' } ], series: [ { type: 'bar', showBackground: true, itemStyle: { color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [ { offset: 0, color: '#83bff6' }, { offset: 0.5, color: '#188df0' }, { offset: 1, color: '#188df0' } ]) }, emphasis: { itemStyle: { color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [ { offset: 0, color: '#2378f7' }, { offset: 0.7, color: '#2378f7' }, { offset: 1, color: '#83bff6' } ]) } }, data: data } ] }; // Enable data zoom when user click bar. const zoomSize = 6; myChart.on('click', function (params) { console.log(dataAxis[Math.max(params.dataIndex - zoomSize / 2, 0)]); myChart.dispatchAction({ type: 'dataZoom', startValue: dataAxis[Math.max(params.dataIndex - zoomSize / 2, 0)], endValue: dataAxis[Math.min(params.dataIndex + zoomSize / 2, data.length - 1)] }); }); option && myChart.setOption(option); }, getweek(){ var chartDom = document.getElementById('weekmain'); var myChart = echarts.init(chartDom); var option; option = { tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } }, legend: {}, grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, xAxis: [ { type: 'category', data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'] } ], yAxis: [ { type: 'value' } ], series: [ { name: 'Direct', type: 'bar', emphasis: { focus: 'series' }, data: [320, 332, 301, 334, 390, 330, 320] }, { name: 'Email', type: 'bar', stack: 'Ad', emphasis: { focus: 'series' }, data: [120, 132, 101, 134, 90, 230, 210] }, { name: 'Union Ads', type: 'bar', stack: 'Ad', emphasis: { focus: 'series' }, data: [220, 182, 191, 234, 290, 330, 310] }, { name: 'Video Ads', type: 'bar', stack: 'Ad', emphasis: { focus: 'series' }, data: [150, 232, 201, 154, 190, 330, 410] }, { name: 'Search Engine', type: 'bar', data: [862, 1018, 964, 1026, 1679, 1600, 1570], emphasis: { focus: 'series' }, markLine: { lineStyle: { type: 'dashed' }, data: [[{ type: 'min' }, { type: 'max' }]] } }, { name: 'Baidu', type: 'bar', barWidth: 5, stack: 'Search Engine', emphasis: { focus: 'series' }, data: [620, 732, 701, 734, 1090, 1130, 1120] }, { name: 'Google', type: 'bar', stack: 'Search Engine', emphasis: { focus: 'series' }, data: [120, 132, 101, 134, 290, 230, 220] }, { name: 'Bing', type: 'bar', stack: 'Search Engine', emphasis: { focus: 'series' }, data: [60, 72, 71, 74, 190, 130, 110] }, { name: 'Others', type: 'bar', stack: 'Search Engine', emphasis: { focus: 'series' }, data: [62, 82, 91, 84, 109, 110, 120] } ] }; option && myChart.setOption(option); }, }, mounted() { this.infoshow() this.getweek() this.initdata() } } </script> <style scoped> .bgpic{ background-image: url("../../../https/4.jpg"); width: 1269px; height: 781px; } </style>
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