python实现巡检系统(solaris)示例
使用python + shell 编写,是一个简易solaris系统巡检程序
#!/usr/bin/python -u
#-*- coding:utf-8 -*-
'''
程序:solaris_status.py
author: gyh9711
功能:
系统状态信息获取
语言:
sh + python
注意:
部分调用命令需要用到root权限
测试情况:
系统版本:solaris10 系统测试ok
测试服务器型号:sun 6900 6800 v445 v440 M3000 M5000
内容:
'''
import time
import sys
import os
import re
# import pprint
def getNow():
return time.strftime("%Y-%m-%d %H:%M:%S",time.localtime())
def puts(mess,_type="print"):
if _type == "log":
sys.stdout.write("[%s] %s\n" % (getNow(),mess))
else:
sys.stdout.write("%s\n" % mess)
#pprint.pprint(mess)
def getCommand(cmd):
return [t.rstrip() for t in os.popen(cmd).readlines()]
#通过系统状态信息:
#系统基本情况
puts("="*60)
puts("检查时间 %s" % getNow())
puts("-"*60)
puts("\n系统基本信息")
for i in getCommand("showrev"):
puts(i)
puts("="*60)
puts("\n")
puts("主机名称: %s " % getCommand("hostname")[0])
puts("处理器core数: %s " % getCommand("mpstat |awk 'END{print NR-1}'")[0])
puts("系统负载情况: %s " % getCommand("uptime")[0])
puts("系统进程数: %s " % getCommand("ps -ef |wc -l")[0])
puts("用户运行进程情况")
psAll = getCommand('''ps -ef |awk '{print $1}' |sort |uniq -c |grep -v "UID"''')
puts("\n%s%s" %("用户".ljust(20),"进程数".ljust(10)))
puts("-"*60)
for i in psAll:
_user = re.split(r"\s+",i)[1:]
#print _user
puts("%s%s" %(_user[1].ljust(20),_user[0].ljust(10)))
puts("-"*60)
puts("\n")
puts("%s%s%s"%("="*30,"状态信息","="*30))
puts("\n")
puts("处理器使用情况: %s %%" % getCommand("vmstat 1 2 |tail -1 |awk '{print 100-$22}'")[0])
puts("内存使用情况: %s %% 总大小:%s [M]" % (getCommand('''vmstat 1 2 |tail -1 |awk '{printf("%d",$5/1024/MEMALL*100);}' MEMALL=`prtconf |grep -i "^memory" |awk '{print $3}'`''')[0],getCommand('''prtconf |grep -i "^memory" |awk '{print $3}''')[0]))
puts("swap使用情况: %s" % (getCommand("swap -s")[0]))
puts("\n")
puts("%s%s%s\n"%("="*30,"磁盘空间使用情况","="*30))
for i in getCommand('''awk '{if($3 != "") {print $3}}' /etc/vfstab |egrep -v "mount|to|-" |xargs df -h'''):
puts(i)
puts("\n%s%s%s\n"%("="*30,"网络情况","="*30))
puts("网络接口状态")
for i in getCommand('''for i in `ifconfig -a |egrep "^{hme|qfe|ge|ce|eri|bge|nge|e1000g}" |cut -d: -f1`; do /sbin/dladm show-dev $i; done'''):
puts(i)
puts("\n网络接口IP及数据进出情况")
for i in getCommand("netstat -in"):
puts(i)
puts("\n网络接口流量情况")
for i in getCommand('''for i in `ifconfig -a |egrep "^{hme|qfe|ge|ce|eri|bge|nge|e1000g}" |cut -d: -f1`; do netstat -I $i; done'''):
puts(i)
puts("\n 网络ARP缓存信息")
for i in getCommand("netstat -anp"):
puts(i)
puts("\n")
puts("\n 路由表情况")
for i in getCommand("netstat -rn"):
puts(i)
puts("\n")
puts("\n%s%s%s\n"%("="*30,"系统主要服务及状态[svcs]","="*30))
for i in getCommand('''svcs'''):
puts(i)
puts("\n%s%s%s\n"%("="*30,"服务硬件状态[prtdiag]","="*30))
for i in getCommand('''prtdiag -v'''):
puts(i)
# puts(getCommand("showrev"))
#硬件状态信息
#puts(getCommand("prtdiag -v"))
#cpu情况
#puts(getCommand("mpstat"))
#puts(getCommand("sar -u"))
#物理内存大小
#puts(getCommand('''/usr/sbin/prtdiag -v |grep "^Memory"'''))
#虚拟内存
#puts(getCommand('''vmstat 1 2'''))
#puts(getCommand('''swap -s'''))
#=================磁盘IO情况=================
#puts(getCommand('''iostat -xtc''')) #

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code
