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Linux服务器CPU、内存、磁盘空间、负载情况查看python脚本

时间:2017-05-27 18:01:57      阅读:249      评论:0      收藏:0      [点我收藏+]

标签:博客   执行   one   数值   idle   let   pytho   except   start   

[本文出自天外归云的博客园]

网上搜,东拼西凑,组装了一个可以查Linux服务器CPU使用率、内存使用率、磁盘空间占用率、负载情况的python脚本。

脚本内容如下:

# -*- coding:utf-8 -*- - 
import os, time

last_worktime=0
last_idletime=0

def get_cpu():
        global last_worktime, last_idletime
        f=open("/proc/stat","r")
        line=""
        while not "cpu " in line: line=f.readline()
        f.close()
        spl=line.split(" ")
        worktime=int(spl[2])+int(spl[3])+int(spl[4])
        idletime=int(spl[5])
        dworktime=(worktime-last_worktime)
        didletime=(idletime-last_idletime)
        rate=float(dworktime)/(didletime+dworktime)
        last_worktime=worktime
        last_idletime=idletime
        if(last_worktime==0): return 0
        return rate

def get_mem_usage_percent():
    try:
        f = open(/proc/meminfo, r)
        for line in f:
            if line.startswith(MemTotal:):
                mem_total = int(line.split()[1])
            elif line.startswith(MemFree:):
                mem_free = int(line.split()[1])
            elif line.startswith(Buffers:):
                mem_buffer = int(line.split()[1])
            elif line.startswith(Cached:):
                mem_cache = int(line.split()[1])
            elif line.startswith(SwapTotal:):
                vmem_total = int(line.split()[1])
            elif line.startswith(SwapFree:):
                vmem_free = int(line.split()[1])
            else:
                continue
        f.close()
    except:
        return None
    physical_percent = usage_percent(mem_total - (mem_free + mem_buffer + mem_cache), mem_total)
    virtual_percent = 0
    if vmem_total > 0:
        virtual_percent = usage_percent((vmem_total - vmem_free), vmem_total)
    return physical_percent, virtual_percent

def usage_percent(use, total):
    try:
        ret = (float(use) / total) * 100
    except ZeroDivisionError:
        raise Exception("ERROR - zero division error")
    return ret

statvfs = os.statvfs(/)

total_disk_space = statvfs.f_frsize * statvfs.f_blocks
free_disk_space = statvfs.f_frsize * statvfs.f_bfree
disk_usage = (total_disk_space - free_disk_space) * 100.0 / total_disk_space
disk_usage = int(disk_usage)
disk_tip = "硬盘空间使用率(最大100%):"+str(disk_usage)+"%"
print(disk_tip)

mem_usage = get_mem_usage_percent()
mem_usage = int(mem_usage[0])
mem_tip = "物理内存使用率(最大100%):"+str(mem_usage)+"%"
print(mem_tip)

cpu_usage = int(get_cpu()*100)
cpu_tip = "CPU使用率(最大100%):"+str(cpu_usage)+"%"
print(cpu_tip)

load_average = os.getloadavg()
load_tip = "系统负载(三个数值中有一个超过3就是高):"+str(load_average)
print(load_tip)

在Linux服务器上touch一个py文件,把以上内容粘贴进去并保存。运行python脚本,效果如下:

技术分享

一目了然。以后再出现访问后台接口502、无返回的情况,在后台服务器执行一下脚本,看看是不是这方面引起的问题,是不是内存占用过高,是不是磁盘满了等等。方便后台服务器环境问题的定位,以便联系相关的开发或运维来协助解决问题。

Linux服务器CPU、内存、磁盘空间、负载情况查看python脚本

标签:博客   执行   one   数值   idle   let   pytho   except   start   

原文地址:http://www.cnblogs.com/LanTianYou/p/6913833.html

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