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【Python】一次性查看所有集群节点信息:节点内核数、物理内存使

发布时间:2020-12-17 01:22:35 所属栏目:Python 来源:网络整理
导读:1. 源码文件 为了方便自己的使用,我完成了该代码,由两部分构成: 源码文件:CPU_usage.py 执行文件:CPU_usage.sh (1)CPU_usage.py代码 pre class="has" # - - coding:utf-8 - - from multiprocessing import cpu_count !/usr/bin/env python import os,t

1. 源码文件

为了方便自己的使用,我完成了该代码,由两部分构成:

源码文件:CPU_usage.py

执行文件:CPU_usage.sh

(1)CPU_usage.py代码

<pre class="has">
# -- coding:utf-8 --
from multiprocessing import cpu_count

!/usr/bin/env python

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

if name == "main":
cpucount = "内核数: %s" % cpu_count() + " "

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:" + str(disk_usage) + "%  "

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

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

load_average = os.getloadavg()
load_tip = "系统负载" + str(load_average)

print(cpucount + mem_tip + cpu_tip + load_tip)</code></pre>

说明:参考了网上资源()

(2)CPU_usage.sh代码:

<pre class="has">
for k in $(seq 2 96)
do
ssh cluster@AiLab${k} "hostname && cd ~ $$ sh CPU_usage.sh"
done

说明:我的集群节点是2到92,把编号改为你自己的集群节点编号。

2. 使用命令

最开始我是用原始的“sh CPU_usage.sh”来执行命令,实在是不方便。

于是研究了一下怎么把命令改为自定义命令。

后来找到~/.bashrc,在里面添加了alias命令自定义名字,偶然看到网上另一个教程(),改变了注意。

资源里说:

“bashrc 中有一句话
# You may want to put all your additions into a separate file like
# ~/.bash_aliases,instead of adding them here directly.
就是说可以另外新建一个文件用于专门存放自己的alias信息”


于是,可以这样来做:

<pre class="has">
$ cd ~
$ vi .bash_aliases

在文件中输入自己想设置的命令:

<pre class="has">
alias usageinfo='cd ~ && sh CPU_info.sh'??

然后:wq保存退出,用下面命令激活:

<pre class="has">
$ source .bashrc

接下来,在任何目录下输入”usageinfo“,都可以方便地查看集群节点信息了。

by CS青雀

2018年7月26日

(编辑:李大同)

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