python实现内存监控系统

脚本专栏 2024/11/18 佚名

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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="/UploadFiles/2021-04-08/jquery-1.8.3.min.js">

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。