python实现内存监控系统
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 subprocess
import re
import MySQLdb as mysql
import time
import 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 = 0
def 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_template
import json
import MySQLdb as mysql
app = 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
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持【听图阁-专注于Python设计】。
