python实现内存监控系统

2019-11-25 14:29:36

字体：大中小

来源：转载

供稿：网友

本文实例为大家分享了python实现内存监控系统的具体代码，供大家参考，具体内容如下

思路：通过系统命令或操作系统文件获取到内存信息(linux 内存信息存在/proc/meminfo文件中,mac os 通过命令vm_stat命令可以查看)

并将获取到信息保存到数据库中,通过web将数据实时的展示出来.(获取数据―展示数据)

1、后台数据采集（获取数据）

import subprocessimport reimport MySQLdb as mysqlimport timeimport socket#获取mysql数据游标,通过游标操作数据库db = mysql.connect(user="root", passwd="123456",host="localhost", db="EBANK", charset="utf8")db.autocommit(True)cur = db.cursor()"""  Mac系统各应用程序占内存信息"""def processesUseMeminfo():  ps = subprocess.Popen(['ps', '-caxm', '-orss,comm'], stdout=subprocess.PIPE).communicate()[0]  processLines = ps.split('/n')  print processLines  sep = re.compile('[/s]+')  rssTotal = 0 # kB  for row in range(1,len(processLines)):    rowText = processLines[row].strip()    rowElements = sep.split(rowText)    try:     rss = float(rowElements[0]) * 1024    except:     rss = 0 # ignore...    rssTotal += rss  return rssTotal"""  Mac内存活动信息"""def processVM():  vm = subprocess.Popen(['vm_stat'], stdout=subprocess.PIPE).communicate()[0]  vmLines = vm.split('/n')  sep = re.compile(':[/s]+')  vmStats = {}  for row in range(1,len(vmLines)-2):    rowText = vmLines[row].strip()    rowElements = sep.split(rowText)    vmStats[(rowElements[0])] = int(rowElements[1].strip('/.'))/1024  return vmStats"""  执行更新数据库中内存信息,供web展示内存的实时数据"""erval = 0def execute():  '''更新内存活动信息'''  global erval  try:    ip = socket.gethostbyname(socket.gethostname()) #获取本机ip    #ip = '10.21.8.10'    vmStats = processVM()    wired = vmStats['Pages wired down']    active = vmStats['Pages active']    free = vmStats['Pages free']    inactive = vmStats['Pages inactive']    t = int(time.time())    sql = "insert into stat(host,mem_free,mem_usage,mem_total,load_avg,time) VALUES ('%s','%d','%d','%d','%d','%d')"/       %(ip,wired,active,free,inactive,t)    print sql    cur.execute(sql)    erval += 1    if erval > 50:      del_sql = "delete from stat where time < %d "%t      print '执行数据清理.',del_sql      cur.execute(del_sql)      erval = 0  except Exception , message :    print '获取内存信息异常:',message    #pass  finally:    pass  '''更新'''  #TODO  #rssTotal = processesUseMeminfo()#死循环不停的读取内存，每一秒钟插入一条新的内存信息while True:  time.sleep(1)  execute()  print 'none.'

获取到数据保存到MySQL数据中，新建表：

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;

2、前台web采用flask应用框架，通过highstock实时展示折线图数据

from flask import Flask, request, render_templateimport jsonimport MySQLdb as mysqlapp = Flask(__name__)db = mysql.connect(user="root", passwd="123456",host="localhost", db="EBANK", charset="utf8")db.autocommit(True)cur = db.cursor()@app.route("/")def index():  return render_template("monitor.html")tmp_time = 0@app.route("/data")def getdata():  '''第一次查询全量数据，后面只查询增量数据'''  global tmp_time  if tmp_time > 0 :    sql = "select time,mem_free from stat where time >%s" %(tmp_time)  else:    sql = "select time,mem_free from stat"  cur.execute(sql)  datas = []  for i in cur.fetchall():    datas.append([i[0], i[1]])  if len(datas) > 0 :    tmp_time = datas[-1][0]  return json.dumps(datas)if __name__ == "__main__":  app.run(host='0.0.0.0',port=8888,debug=True)

新建一个monitor.html

<html lang="en"><head>  <meta charset="UTF-8">  <title>内存监控</title>  <script src="http://cdn.hcharts.cn/jquery/jquery-1.8.3.min.js"></script>  <script src="http://cdn.hcharts.cn/highstock/highstock.js"></script>  <script src="http://cdn.hcharts.cn/highcharts/modules/exporting.js"></script></head><body><div id="container" style="min-width:400px;height:400px"></div></body><script type="text/javascript">$(function () {  $.getJSON('/data', function (data) {    // Create the chart    $('#container').highcharts('StockChart', {      chart: {        events: {          load: function () {            var chart = $('#container').highcharts();            var series = chart.series[0];            //隔1秒，请求一次/data，实时获取内存信息            setInterval(function () {                       $.getJSON("/data", function (res) {                $.each(res, function (i, v) {                  series.addPoint(v);                });              });            }, 1000);          }        }      },      rangeSelector : {        selected : 1      },      title : {        text : 'AAPL Stock Price'      },      series : [{        name : 'AAPL',        data : data,        tooltip: {          valueDecimals: 2        }      }]    });  });});</script></html>

done.

运行后台数据采集，运行前台web，通过http://localhost:8888/ 实时监控内存的活动情况。

效果图