flask+socketio+echarts3 服务器监控程序（基于后端数据推送）
作者：互联网
https://www.cnblogs.com/hhh5460/p/7397006.html
app.py
路由及后台线程
'''
服务器cpu监控程序
思路：后端后台线程一旦产生数据，即刻推送至前端。
好处：不需要前端ajax定时查询，节省服务器资源。
作者：hhh5460
时间：2017.8.19
'''
import psutil
import time
from threading import Lock
from flask import Flask, render_template, session, request
from flask_socketio import SocketIO, emit
# Set this variable to "threading", "eventlet" or "gevent" to test the
# different async modes, or leave it set to None for the application to choose
# the best option based on installed packages.
async_mode = None
app = Flask(__name__)
app.config['SECRET_KEY'] = 'secret!'
socketio = SocketIO(app, async_mode=async_mode)
thread = None
thread_lock = Lock()
# 后台线程 产生数据，即刻推送至前端
def background_thread():
"""Example of how to send server generated events to clients."""
count = 0
while True:
socketio.sleep(5)
count += 1
t = time.strftime('%M:%S', time.localtime()) # 获取系统时间（只取分:秒）
cpus = psutil.cpu_percent(interval=None, percpu=True) # 获取系统cpu使用率 non-blocking
socketio.emit('server_response',
{'data': [t, *cpus], 'count': count},
namespace='/test') # 注意：这里不需要客户端连接的上下文，默认 broadcast = True ！！！！！！！
@app.route('/')
def index():
return render_template('index.html', async_mode=socketio.async_mode)
# 与前端建立 socket 连接后，启动后台线程
@socketio.on('connect', namespace='/test')
def test_connect():
global thread
with thread_lock:
if thread is None:
thread = socketio.start_background_task(target=background_thread)
if __name__ == '__main__':
socketio.run(app, debug=True)
index.html
页面文件
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>ECharts3 Ajax</title>
<script type="text/javascript" src="//cdn.bootcss.com/jquery/3.1.1/jquery.min.js"></script>
<script type="text/javascript" src="//cdn.bootcss.com/socket.io/1.5.1/socket.io.min.js"></script>
<!-- ECharts 3 引入 -->
<script src="http://echarts.baidu.com/dist/echarts.min.js"></script>
</head>
<body>
<!--为ECharts准备一个具备大小（宽高）的Dom-->
<div id="main" style="height:500px;border:1px solid #ccc;padding:10px;"></div>
<script type="text/javascript">
// 作者：hhh5460
// 时间：2017.8.19
//--- 折柱 ---
var myChart = echarts.init(document.getElementById('main'));
myChart.setOption({
title: {
text: '服务器系统监控'
},
tooltip: {},
legend: {
data:['cpu1','cpu2','cpu3','cpu4']
},
xAxis: {
data: []
},
yAxis: {},
series: [{
name: 'cpu1',
type: 'line',
data: []
},{
name: 'cpu2',
type: 'line',
data: []
},{
name: 'cpu3',
type: 'line',
data: []
},{
name: 'cpu4',
type: 'line',
data: []
}]
});
// 本人笔记本有四个cpu，读者朋友请根据自己的情况，相应修改！！
// 五个全局变量：time、cpu1、cpu2、cpu3、cpu4
var time = ["","","","","","","","","",""],
cpu1 = [0,0,0,0,0,0,0,0,0,0],
cpu2 = [0,0,0,0,0,0,0,0,0,0],
cpu3 = [0,0,0,0,0,0,0,0,0,0],
cpu4 = [0,0,0,0,0,0,0,0,0,0]
//准备好统一的 callback 函数
var update_mychart = function (res) { //res是json格式的response对象
// 隐藏加载动画
myChart.hideLoading();
// 准备数据
time.push(res.data[0]);
cpu1.push(parseFloat(res.data[1]));
cpu2.push(parseFloat(res.data[2]));
cpu3.push(parseFloat(res.data[3]));
cpu4.push(parseFloat(res.data[4]));
if (time.length >= 10){
time.shift();
cpu1.shift();
cpu2.shift();
cpu3.shift();
cpu4.shift();
}
// 填入数据
myChart.setOption({
xAxis: {
data: time
},
series: [{
name: 'cpu1', // 根据名字对应到相应的系列
data: cpu1
},{
name: 'cpu2',
data: cpu2
},{
name: 'cpu3',
data: cpu3
},{
name: 'cpu4',
data: cpu4
}]
});
};
// 首次显示加载动画
myChart.showLoading();
// 建立socket连接，等待服务器“推送”数据，用回调函数更新图表
$(document).ready(function() {
namespace = '/test';
var socket = io.connect(location.protocol + '//' + document.domain + ':' + location.port + namespace);
socket.on('server_response', function(res) {
update_mychart(res);
});
});
</script>
</body>
</html>
效果图
标签：name,thread,socketio,flask,res,echarts3,time,data 来源： https://www.cnblogs.com/gooutlook/p/15238260.html