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.webp");
width: 1269px;
height: 781px;
}
</style>
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