Python写的一个简单监控系统

2019-11-25 17:16:44

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市面上有很多开源的监控系统：Cacti、nagios、zabbix。感觉都不符合我的需求，为什么不自己做一个呢

用Python两个小时徒手撸了一个简易的监控系统，给大家分享一下，希望能对大家有所启发

首先数据库建表

建立一个数据库“falcon”，建表语句如下：

CREATE TABLE `stat` ( `id` int(11) unsigned NOT NULL AUTO_INCREMENT, `host` varchar(256) DEFAULT NULL, `mem_free` int(11) DEFAULT NULL, `mem_usage` int(11) DEFAULT NULL, `mem_total` int(11) DEFAULT NULL, `load_avg` varchar(128) DEFAULT NULL, `time` bigint(11) DEFAULT NULL, PRIMARY KEY (`id`), KEY `host` (`host`(255))) ENGINE=InnoDB AUTO_INCREMENT=0 DEFAULT CHARSET=utf8;

首先我们设计一个web服务，实现如下功能：

1.完成监控页面展示
2.接受POST提交上来的数据
3.提供json数据GET接口

目录结构如下：

web├── flask_web.py└── templates  └── mon.html[/code]flask_web.py[code]import MySQLdb as mysqlimport jsonfrom flask import Flask, request, render_templateapp = Flask(__name__)db = mysql.connect(user="reboot", passwd="reboot123", /    db="falcon", charset="utf8")db.autocommit(True)c = db.cursor()@app.route("/", methods=["GET", "POST"])def hello():  sql = ""  if request.method == "POST":    data = request.json    try:      sql = "INSERT INTO `stat` (`host`,`mem_free`,`mem_usage`,`mem_total`,`load_avg`,`time`) VALUES('%s', '%d', '%d', '%d', '%s', '%d')" % (data['Host'], data['MemFree'], data['MemUsage'], data['MemTotal'], data['LoadAvg'], int(data['Time']))      ret = c.execute(sql)    except mysql.IntegrityError:      pass    return "OK"  else:    return render_template("mon.html")@app.route("/data", methods=["GET"])def getdata():  c.execute("SELECT `time`,`mem_usage` FROM `stat`")  ones = [[i[0]*1000, i[1]] for i in c.fetchall()]  return "%s(%s);" % (request.args.get('callback'), json.dumps(ones))  if __name__ == "__main__":  app.run(host="0.0.0.0", port=8888, debug=True)

这个template页面是我抄的highstock的示例，mon.html

简单起见我们只展示mem_usage信息到页面上

<title>VeVB.COm</title><!DOCTYPE HTML><html>  <head>    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">    <title>Highstock Example</title>    <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>    <style type="text/css">${demo.css}    </style>    <script type="text/javascript">$(function () {  $.getJSON('/data?callback=?', function (data) {    // Create the chart    $('#container').highcharts('StockChart', {      rangeSelector: {        inputEnabled: $('#container').width() > 480,        selected: 1      },      title: {        text: 'VeVB.COm'      },      series: [{        name: 'VeVB.COm',        data: data,        type: 'spline',        tooltip: {          valueDecimals: 2        }      }]    });  });});    </script>  </head>  <body><script src="http://cdnjs.cloudflare.com/ajax/libs/highstock/2.0.4/highstock.js"></script><script src="http://code.highcharts.com/modules/exporting.js"></script><div id="container" style="height: 400px"></div>  </body></html>

web展示页面完成了，运行起来：

Python flask_web.py 监听在8888端口上

我们需要做一个agent来采集数据，并上传数据库

moniItems.py

#!/usr/bin/env pythonimport inspectimport timeimport urllib, urllib2import jsonimport socketclass mon:  def __init__(self):    self.data = {}  def getTime(self):    return str(int(time.time()) + 8 * 3600)  def getHost(self):    return socket.gethostname()  def getLoadAvg(self):    with open('/proc/loadavg') as load_open:      a = load_open.read().split()[:3]      return ','.join(a)    def getMemTotal(self):    with open('/proc/meminfo') as mem_open:      a = int(mem_open.readline().split()[1])      return a / 1024    def getMemUsage(self, noBufferCache=True):    if noBufferCache:      with open('/proc/meminfo') as mem_open:        T = int(mem_open.readline().split()[1])        F = int(mem_open.readline().split()[1])        B = int(mem_open.readline().split()[1])        C = int(mem_open.readline().split()[1])        return (T-F-B-C)/1024    else:      with open('/proc/meminfo') as mem_open:        a = int(mem_open.readline().split()[1]) - int(mem_open.readline().split()[1])        return a / 1024    def getMemFree(self, noBufferCache=True):    if noBufferCache:      with open('/proc/meminfo') as mem_open:        T = int(mem_open.readline().split()[1])        F = int(mem_open.readline().split()[1])        B = int(mem_open.readline().split()[1])        C = int(mem_open.readline().split()[1])        return (F+B+C)/1024    else:      with open('/proc/meminfo') as mem_open:        mem_open.readline()        a = int(mem_open.readline().split()[1])        return a / 1024    def runAllGet(self):    #自动获取mon类里的所有getXXX方法，用XXX作为key，getXXX()的返回值作为value，构造字典    for fun in inspect.getmembers(self, predicate=inspect.ismethod):      if fun[0][:3] == 'get':        self.data[fun[0][3:]] = fun[1]()    return self.dataif __name__ == "__main__":  while True:    m = mon()    data = m.runAllGet()    print data    req = urllib2.Request("http://VeVB.COm:8888", json.dumps(data), {'Content-Type': 'application/json'})    f = urllib2.urlopen(req)    response = f.read()    print response    f.close()    time.sleep(60)nohup python moniItems.py >/dev/null 2>&1 & 运行起来

访问 http://VeVB.COm:8888 就可以看到我们的监控数据了：效果图如下