Python写的一个简单监控系统

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我是靠谱客的博主疯狂音响，最近开发中收集的这篇文章主要介绍Python写的一个简单监控系统，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

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 mysql
import json
from flask import Flask, request, render_template
app = 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>uoften.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: 'uoften.com'
      },

      series: [{
        name: 'uoften.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 python
import inspect
import time
import urllib, urllib2
import json
import socket

class 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.data

if __name__ == "__main__":
  while True:
    m = mon()
    data = m.runAllGet()
    print data
    req = urllib2.Request("http://uoften.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://uoften.com:8888 就可以看到我们的监控数据了：效果图如下