django Highcharts制作图表--显示CPU使用率

'https://cdn.rawgit.com/highcharts/highcharts/057b672172ccc6c08fe7dbb27fc17ebca3f5b770/samples/data/usdeur.json',

#!/usr/bin/env python# -*- coding: utf-8 -*-import pymysqlimport geventimport timeimport psutil#解决wind10错误OSError: raw write() returned invalid lengthimport win_unicode_console
win_unicode_console.enable()class MyPyMysql:    def __init__(self, host, port, username, password, db, charset='utf8'):        self.host = host  # mysql主机地址        self.port = port  # mysql端口        self.username = username  # mysql远程连接用户名        self.password = password  # mysql远程连接密码        self.db = db  # mysql使用的数据库名        self.charset = charset  # mysql使用的字符编码,默认为utf8        self.pymysql_connect()  # __init__初始化之后，执行的函数    def pymysql_connect(self):        # pymysql连接mysql数据库        # 需要的参数host,port,user,password,db,charset        self.conn = pymysql.connect(host=self.host,
                                    port=self.port,
                                    user=self.username,
                                    password=self.password,
                                    db=self.db,
                                    charset=self.charset
                                    )
        # 连接mysql后执行的函数        self.asynchronous()    def getCPUstate(self,interval=1):        cpu = psutil.cpu_percent(interval)
        return cpu    def getMemorystate(self):        phymem = psutil.virtual_memory()
        cur_mem = phymem.percent
        mem_rate = int(phymem.used / 1024 / 1024)
        mem_all = int(phymem.total / 1024 / 1024)        line = {
            'cur_mem': cur_mem,
            'mem_rate': mem_rate,
            'mem_all': mem_all,
        }        return line    def run(self):        # 创建游标        self.cur = self.conn.cursor()
        # 定义sql语句        sql = "insert into blog_system_monit(cpu,cur_mem,mem_rate,mem_all,create_time,time_stamp) values (%s,%s,%s,%s,%s,%s)"        print(sql)        # 定义数据        cpu = self.getCPUstate()  # cpu使用率        mem = self.getMemorystate()  # 内存info信息        mem_rate = mem['mem_rate']  # 内存使用率        cur_mem = mem['cur_mem']  # 当前使用内存        mem_all = mem['mem_all']  # 总内存        struct_time = time.localtime()
        create_time = time.strftime("%Y-%m-%d %H:%M:%S", struct_time)  # 转换为标准时间        t = time.time()  # 当前时间戳        time_stamp = int(round(t * 1000))  # 转换为毫秒的时间戳        print((cpu, cur_mem,mem_rate, mem_all,create_time,time_stamp))        # 执行插入一行数据，如果插入多行，使用executemany(sql语句,数据(需一个元组类型))        content = self.cur.execute(sql,(cpu,cur_mem,mem_rate,mem_all,create_time,time_stamp))
        if content:
            print('插入ok')        # 提交数据,必须提交，不然数据不会保存        self.conn.commit()    def asynchronous(self):        #执行30次协程任务        for i in range(0,30):
            time.sleep(10)  # 等待10秒            gevent.spawn(self.run())  # 执行方法        self.cur.close()  # 关闭游标        self.conn.close()  # 关闭pymysql连接if __name__ == '__main__':
    start_time = time.time()  # 计算程序开始时间    st = MyPyMysql('127.0.0.1', 3306, 'root', '', 'db2')  # 实例化类，传入必要参数    print('程序耗时{:.2f}'.format(time.time() - start_time))  # 计算程序总耗时

from django.db import models# Create your models here.#必须要继承models.Model类，这个固定写法。# 这里表示创建表blog_system_monit，blog是应用名，它会自动加上的。class system_monit(models.Model):    #id自增,类型为bigint。设置为主键    id = models.BigAutoField(primary_key=True)
    #类型为decimal(10,2)，长度为10，小数点保留2位    cpu = models.DecimalField(max_digits=10, decimal_places=2)
    #类型为int(11)，11是默认长度    cur_mem = models.IntegerField()
    mem_rate = models.DecimalField(max_digits=10, decimal_places=2)
    mem_all = models.IntegerField()
    #类型为datetime    create_time = models.DateTimeField()
    #由于毫秒的时间戳超过了timestamp的长度，所以只能设置bigint了。    time_stamp = models.BigIntegerField()

def chart(request):    #显示html文件    return render(request, "chart.html")def chart_json(request):    #读取表所有记录    system_monit = models.system_monit.objects.all()
    data = []  # 创建一个空列表    for i in system_monit:  # 遍历，拼横纵坐标        #横坐标为时间戳,纵坐标为cpu使用率。注意，必须转换类型，否则数据不对。        data.append([int(i.time_stamp),float('%.2f' % i.cpu)])
        
    print(data)    isdict = json.dumps(data)  # json序列化列表    return HttpResponse(isdict, content_type="application/json")  # 执行类型为json

urlpatterns = [
    path('admin/', admin.site.urls),
    path('chart/', views.chart),
    path('chart_json/', views.chart_json),
]

<!DOCTYPE HTML>
<html>
<head>
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <title>Highcharts Example</title>    <style type="text/css">    </style>
    {#配置favicon.ico，解决警告Not Found: /favicon.ico#}    {% load staticfiles %}
    <link REL="SHORTCUT ICON" HREF="{% static "images/favicon.ico" %}"/>
</head>
<body>
<script src="../static/js/jquery-3.3.1.min.js"></script>
<script src="../static/Highcharts-6.1.0/highcharts.js"></script>
<script src="../static/Highcharts-6.1.0/modules/exporting.js"></script>
<script src="../static/Highcharts-6.1.0/modules/export-data.js"></script><div id="container" style="min-width: 310px; height: 400px; margin: 0 auto"></div><script type="text/javascript">
    {#解决显示时间少8小时问题#}    Highcharts.setOptions({global: {useUTC: false}});    $.getJSON(
        {#'https://cdn.rawgit.com/highcharts/highcharts/057b672172ccc6c08fe7dbb27fc17ebca3f5b770/samples/data/usdeur.json',#}        '/chart_json/',
        function (data) {            Highcharts.chart('container', {
                chart: {
                    zoomType: 'x'                },
                title: {
                    text: 'cpu使用率'                },
                subtitle: {
                    text: document.ontouchstart === undefined ?
                        '单击并拖动绘图区域以放大' : '捏合图表放大'                },
                xAxis: {
                    type: 'datetime',                },
                {#自定义x坐标信息显示,return部分是用js拼接的,内容可以自己定义。#}                tooltip: {
                    formatter: function () {
                        return '<strong>' + this.series.name + ':' + this.y + '%<br/></strong>' +
                            Highcharts.dateFormat('%Y-%m-%d %H:%M:%S', this.x);
                    }
                },
                yAxis: {
                    title: {
                        text: '使用率'                    }
                },
                legend: {
                    enabled: false
                },
                plotOptions: {
                    area: {
                        fillColor: {
                            linearGradient: {
                                x1: 0,
                                y1: 0,
                                x2: 0,
                                y2: 1                            },
                            stops: [
                                [0, Highcharts.getOptions().colors[0]],
                                [1, Highcharts.Color(Highcharts.getOptions().colors[0]).setOpacity(0).get('rgba')]
                            ]
                        },
                        marker: {
                            radius: 2                        },
                        lineWidth: 1,
                        states: {
                            hover: {
                                lineWidth: 1                            }
                        },
                        threshold: null
                    }
                },                series: [{
                    type: 'area',
                    name: '百分比',
                    data: data
                }]
            });
        }
    );
</script>
</body>
</html>

mysite/
├── blog
│   ├── admin.py
│   ├── apps.py
│   ├── __init__.py
│   ├── models.py
│   └── views.py
├── manage.py
├── monit_system.py
├── mysite
│   ├── __init__.py
│   ├── settings.py
│   ├── urls.py
│   └── wsgi.py
├── static
│   ├── css
│   ├── Highcharts-6.1.0│   │   ├── highcharts.js
│   │   └── modules
│   │       ├── export-data.js
│   │       └── exporting.js
│   ├── images
│   │   └── favicon.ico
│   └── js
│       └── jquery-3.3.1.min.js
└── templates
    ├── chart.html
    ├── cur_time.html
    ├── detail.html
    └── index.html

<script src="../static/Highcharts-6.1.0/modules/export-data.js"></script>

{#黑色主题#}<script src="../static/Highcharts-6.1.0/themes/dark-unica.js"></script>