dfdi 发表于 2015-12-15 08:44:15

python snmp 自动化2-在python中使用snmp

python snmp 自动化2-在python中使用snmp

#参考资料

为什么不使用pysnmp?
         Pysnmp是一个纯python的snmp模块,不过我们的mib文件,大概有20%的,Pysnmp不能成功读取,报错如下:
# build-pysnmp-mib-o fsp150cm-sa.mib.txt fsp150cm-sa.mib
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
WARNING: empty MIBmodule name seen in smidump output at CM-SA-MIB
Traceback (mostrecent call last):
File "/usr/bin/libsmi2pysnmp", line5, in
    pkg_resources.run_script('pysnmp==4.2.1','libsmi2pysnmp')
File "/usr/lib/python2.7/site-packages/setuptools-0.6c11-py2.7.egg/pkg_resources.py",line 489, in run_script
File"/usr/lib/python2.7/site-packages/setuptools-0.6c11-py2.7.egg/pkg_resources.py",line 1214, in run_script
File"/usr/lib/python2.7/site-packages/pysnmp-4.2.1-py2.7.egg/EGG-INFO/scripts/libsmi2pysnmp",line 435, in
   
File"/usr/lib/python2.7/site-packages/pysnmp-4.2.1-py2.7.egg/EGG-INFO/scripts/libsmi2pysnmp",line 147, in __genTypeDef
   
KeyError: 'syntax'
smidump -k -fpython fsp150cm-sa.mib | /usr/bin/libsmi2pysnmp fails
make sure you areusing libsmi version > 0.4.5 (or svn)

         网上有篇netsnmp和pysnmp比较的评论:
This isn't so muchan answer as much as me sharing my experience testing these libraries.

I ran somesnmpwalk benchmarks on PySNMP 4.x and net-snmp using python'smultiprocessing.Pool. Benchmarks were pretty dirty (basically scaled up thethread pool until I didn't get any performance gains), so reader be-ware.Here's some observations:

netsnmp's pythonbindings:

    * Could pull down 11958 oids/sec on thequad core test box.
    * Didn't consume a lot of CPU. Seemed to bewaiting on network I/O most of the time (keep reading).
    * Didn't support snmpbulkwalk,unfortunately. So this generates more network traffic and a single thread ofexecution tends to be slow.
    * It has some annoying MIB look upbehavior. I had to specify 'ifName' instead of 'IF-MIB::ifName', which couldlead to some ambiguity. I also couldn't seem to find a way to control MIBlookups very well.
    * Threading will not work well. Even if youwant one thread of execution, run it in a separate process so you don't starveother threads. This library is thread safe, but not thread friendly.

PySNMP4:

    * Came in at 5560 oids/sec on the same box.
    * Very CPU intensive. I attribute this tothe packet parsing being done in python.
    * MIB lookups I thought were really nice.
    * snmpwalks would leak some unrelated OIDs.For example, I'd walk IF-MIB::ifXTable and at the end I'd getIF-MIB::ifStackTable. IF-MIB dump.
    * I'd almost certainly tailor a wrapper formy application instead of using this library directly. Specifically I'd wrapall the error handling to use Exceptions.
    * I'm not a big fan of writing/readingasynchronous code, so I'd just ignore all the async bits and run big SNMPoperations in a separate process.

Overall, I'mreally kind of disappointed. There's really not a "best overall"library. Apart from the API and performance, PySNMP4 is great. Apart fromhaving some strange MIB/oid lookup handling behavior and not supporting manybulk operations, NetSNMP's python bindings were great.
         可见pysnmp强在mib解析等方面,性能方面不能和netsnmp媲美。既然我们的mib pysnmp无法解析,只好放弃,期待pysnmp尽快开发出自己的好的mib解析器。只有选择netsnmp。
         
为什么不使用subprocess?
         Subprocess会经常出现超时。

  Python Get示例:
单个get:
print "Get ntpClientEnabled"
oid = netsnmp.Varbind('1.3.6.1.4.1','2544.1.12.2.1.10.1.0')
oidList = netsnmp.VarList(oid)
resultList = netsnmp.snmpget(oid,Version=2,DestHost='172.23.192.44',Community='private')
print resultList

以下是通过类的方法进行Get:
  
session =netsnmp.Session(Version=2,DestHost='172.23.192.44',Community='private')
oid =netsnmp.Varbind('1.3.6.1.4.1','2544.1.12.2.1.10.1.0',2,'INTEGER')
oidList = netsnmp.VarList(oid)
resultList = session.get(oidList)
print resultList         

多个get:
print "Get ntpClientEnabled"
oid = netsnmp.Varbind('1.3.6.1.4.1','2544.1.12.2.1.10.1.0')
oid1 = netsnmp.Varbind('1.3.6.1.4.1.2544.1.12.8.1.1.1.5','1.1.1.1','15','INTEGER')
resultList = netsnmp.snmpget(oid,oid1,Version=2,DestHost='172.23.192.44',Community='private')
print resultList

以下是通过类的方法进行Get:
session =netsnmp.Session(Version=2,DestHost='172.23.192.44',Community='private')
oid2 =netsnmp.Varbind('1.3.6.1.4.1','2544.1.12.2.1.10.1.0',2,'INTEGER')
oid3 = netsnmp.Varbind('.1.3.6.1.4.1.2544.1.12.8.1.1.1.5','1.1.1.1',20,'INTEGER')
oidList = netsnmp.VarList(oid3,oid2)
resultList = session.get(oidList)
print resultList

注意类和函数的方式的区别。类方法始终要求传入的参数为oid列表,函数的方式则可以把单个或者多个oid作为参数传入,不需要oid列表。通过代码可以看到函数的方式其实调用类方法,为此,可能效率要比类方法低。
  Python Set示例

调用netsnmp.snmpset一次set多个值:
print "SetntpClientEnabled"
oid =netsnmp.Varbind('1.3.6.1.4.1.2544.1.12.2.1.10.1','0','2','INTEGER')
oid1 =netsnmp.Varbind('1.3.6.1.4.1.2544.1.12.8.1.1.1.5','1.1.1.1','15','INTEGER')
resultList = netsnmp.snmpset(oid,oid1,Version=2,DestHost='172.23.192.44',Community='private')
print resultList
           上面的1.3.6.1.4.1.前面是否加点号没有关系。Varbind的init方法如下,tag可以用tid,比如ntpClientEnabled,iid表示后面带的序号,比如0,1.1.1.1。val表示具体的值,type表示类型,更详细的参见python netsnmp库的README。Val值'2'和'15'可以不加引号,以为这里是整型,建议还是全部加上引号。
           通过tcpdump抓包分析,snmpset多个值也发送了一次请求,因此多个set集合在一起发送,会明显提高效率。
class Varbind(object):
    def __init__(self,tag=None, iid=None, val=None, type=None):
           
           以下是通过类的方法进行set:
session =netsnmp.Session(Version=2,DestHost='172.23.192.44',Community='private')
oid2 =netsnmp.Varbind('1.3.6.1.4.1','2544.1.12.2.1.10.1.0',2,'INTEGER')
oid3 =netsnmp.Varbind('.1.3.6.1.4.1.2544.1.12.8.1.1.1.5','1.1.1.1',20,'INTEGER')
oidList =netsnmp.VarList(oid3,oid2)
resultList =session.set(oidList)
print resultList         


  Mib翻译
通过snmptranslate -Tso>toid.txt可以导出tid和oid的对应表。
通过snmptranslate –Td 可以获取oid的详细定义。
# snmptranslate-Td .1.3.6.1.4.1.2544.1.12.2.1.10.1
CM-SYSTEM-MIB::ntpClientEnabled
ntpClientEnabledOBJECT-TYPE
-- FROM      CM-SYSTEM-MIB
-- TEXTUAL CONVENTION TruthValue
SYNTAX       INTEGER {true(1), false(2)}
MAX-ACCESS   read-write
STATUS       current
DESCRIPTION"This allows to enable/disable the NTP client."
::= { iso(1)org(3) dod(6) internet(1) private(4) enterprises(1) advaMIB(2544) products(1)fsp150cm(12) cmSystemMIB(2) cmSystemObjects(1) cmTimeObjects(10) 1 }
为了提高可读性,我们需要在测试中使用true来表示1,false来表示2,并用ntpClientEnabled来表示.1.3.6.1.4.1.2544.1.12.2.1.10.1,遗憾的是,netsnmp的python库有如下限制“Access to theparsed MIB database is not yet implemented.”为此MIB的转换需要自行完成。为此拟定如下数据结构:
{ntpClientEnabled:.1.3.6.1.4.1.2544.1.12.2.1.10.1}
{ ntpClientEnabled:{ true:1, false:2}}
第2个字典只针对有别名的部分oid。
如果mib库不大,可以通过如下的脚本获取:
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Function: Ssh to remote server
# Author:      Andrew Xu
# CreateDate: 2012/02/28

import subprocess
import re
import multiprocessing
import pickle
import time
import random

def producer(sequence, input_p):
    for itemin sequence:
      # Putthe item on the queue
       input_p.send(item)

# 消费者
def consumer(lock,pipe):
    output_p,input_p = pipe
   input_p.close() # 关闭管道输入口
    whileTrue:
             lock.acquire()
             try:
                   time.sleep(1)
                   item= output_p.recv()
                   #管道读取失败的预防,重试一次
             except Exception:
                   item= output_p.recv()
             lock.release()
             if item == None:
                   break
         
             tid = item
             oid = snmpDict
         
             # 处理部分
             try:
                   result= subprocess.check_output(['snmptranslate', '-Td',oid])
                   #subprocess失败的预防,重试一次
             except Exception:
                   time.sleep(random.randint(1,8))
                   result= subprocess.check_output(['snmptranslate', '-Td',oid])
            
             syntaxLine = syntax.search(result)
             if syntaxLine:               
                   syntaxLine= syntaxLine.group(1)      
                   valueitems= items.findall(syntaxLine)
                   snmpValueDict= dict(valueitems)         
             else:
                   lock.acquire()
                   print(tid,"None")
                   lock.release()            
                   continue
            
             lock.acquire()
             print(tid,dict(valueitems))
             lock.release()
      
   

if __name__ == '__main__':
   
    snmpDict =dict()
    snmpValueDict= dict()
    # 读取语法部分
    syntax =re.compile(r'^ SYNTAX.*?\{(.*?)\}',re.MULTILINE)
    # 读取字符串 和对应的值
    items =re.compile('(\w*)\((\w*)\)')
    f = open("snmpValueDict.txt",'w')
   
    # 生成tid和oid对应的字典
    for linein open("tid_oid.txt"):
         tid, oid= line.strip().split(',')
         snmpDict= oid   

   pickle.dump(snmpValueDict, open("snmpTidOid.txt","w"))      
         
    print"length of snmpDict:" + str(len(snmpDict))
   
    # 进程数、创建管道,锁等
    p_num = 10
    process =[]   
    (output_p,input_p) = multiprocessing.Pipe()
    lock =multiprocessing.Lock()
   
    # 定义消费进程
    for i inrange(p_num):
         t=multiprocessing.Process(target=consumer,args=(lock,(output_p, input_p),))      
         t.daemon=True
         process.append(t)   

    # 启动消费进程
    for i in range(p_num):
         process.start()
         
    # 关闭输出管道,以往管道填充数据
   output_p.close()
    sequence =snmpDict.values() + *p_num
   producer(snmpDict.keys(), input_p)   
    # 数据填充完毕,打开输入管道
   input_p.close()
   
    # 等待结束
    for i inrange(p_num):
         process.join()
   
   pickle.dump(snmpValueDict, open("snmpValueDict.txt","w"))   
    print"length of snmpDict:" + str(len(snmpDict))   
    print"length of snmpValueDict:" + str(len(snmpValueDict))      

以上也是一个多进程程序的演示,如果mib的oid超过1000条,建议采用如下脚本来提取:
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Function: Ssh to remote server
# Author:      Andrew Xu
# CreateDate: 2012/02/28

import re
import glob
import pickle

typeDict = dict()
snmpDict = dict()
snmpValueDict = dict()

# tid and oid dict
for line in open("tid_oid.txt"):
    tid, oid =line.strip().split(',')
   snmpDict = oid   
   
pickle.dump(snmpDict,open("snmpTidOid.txt", "w"))   

# type Dict
for mibFile inglob.glob(r"/home/share/andrew/soft/mib/110/MIBs/*.mib"):
    files = open(mibFile).read()
    text=re.sub("\s+"," ",files)
    result =re.findall(r'(\w*)\s+OBJECT-TYPE SYNTAX\s+\w+\s\{(.*?\(\w\).*?)\}',text)

    fordictName,values in result:
       splitValues = re.findall('(\w+)\s*?\((\w+)\)',values)
       typeDict = dict(splitValues)

pickle.dump(snmpDict, open("typeDict.txt","w"))               

# snmp Value Dict
for mibFile inglob.glob(r"D:\soft\mib\110\MIBs\*.mib"):
    printmibFile
    files =open(mibFile).read()
    text=re.sub("\s+"," ",files)
    result =re.findall(r'\s(\w*?) ::= TEXTUAL-CONVENTION STATUS currentDESCRIPTION.*?SYNTAX\s+\w+\s\{(.*?\(\w\).*?)\}',text)
    printresult   
    fordictName,values in result:
       splitValues = re.findall('(\w+)\s*?\((\w+)\)',values)
       snmpValueDict = dict(splitValues)
      
    result =re.findall(r'\s(\w*?) ::= TEXTUAL-CONVENTION STATUS currentDESCRIPTION.*?SYNTAX\s+\w+\s\{(.*?\(\w\).*?)\}',text)

pickle.dump(snmpValueDict,open("snmpValueDict.txt", "w"))   

上面的脚本需要根据mib文件格式的不同进行相应的调整。
现在就可以加载存储在文件中的字典,利用tid代替oid进行测试了。

#!/usr/bin/python
# -*- coding:utf-8 -*-
# Function: Ssh toremote server
# Author:         Andrew Xu
# CreateDate:2012/02/28


import netsnmp
import re
import pickle

snmpTOidDict =pickle.load(open(r"snmpTidOid.txt"))
snmpValueDict =pickle.load(open(r"snmpValueDict.txt"))

print "SetntpClientEnabled"
printsnmpValueDict['ntpClientEnabled']
oid =netsnmp.Varbind(snmpTOidDict['ntpClientEnabled'], '0',snmpValueDict['ntpClientEnabled']['true'],'INTEGER')
oid1 = netsnmp.Varbind(snmpTOidDict['ecpaControlDuration'],'1.1.1.1','15','INTEGER')
resultList =netsnmp.snmpset(oid,oid1,Version=2,DestHost='172.23.192.44',Community='private')
print resultList

下面搞个复杂点的用例,在某产品中创建和删除保护组:
命令行执行如下:
# snmpset -v2c -cprivate   172.23.192.44 cmFacProtGroupSwitchMode.1.1.1.1i 1 cmFacProtGroupWorkPort.1.1.1.1 o 1.3.6.1.4.1.2544.1.12.4.1.7.1.1.1.1.1.1cmFacProtGroupProtPort.1.1.1.1 o 1.3.6.1.4.1.2544.1.12.4.1.7.1.1.1.1.1.2cmFacProtGroupRowStatus.1.1.1.1 i 4

CM-PROTECTION-MIB::cmFacProtGroupSwitchMode.1.1.1.1= INTEGER: oneplusone(1)
CM-PROTECTION-MIB::cmFacProtGroupWorkPort.1.1.1.1= OID: CM-FACILITY-MIB::cmEthernetNetPortIndex.1.1.1.1
CM-PROTECTION-MIB::cmFacProtGroupProtPort.1.1.1.1= OID: CM-FACILITY-MIB::cmEthernetNetPortIndex.1.1.1.2
CM-PROTECTION-MIB::cmFacProtGroupRowStatus.1.1.1.1= INTEGER: createAndGo(4)

# snmpset -v2c -cprivate172.23.192.44cmFacProtGroupRowStatus.1.1.1.1 i 6CM-PROTECTION-MIB::cmFacProtGroupRowStatus.1.1.1.1 = INTEGER: destroy(6)

通过python实现如下
#!/usr/bin/python
# -*- coding:utf-8 -*-
# Function: Ssh toremote server
# Author:         Andrew Xu
# CreateDate:2012/02/28

import netsnmp
import re
import pickle

snmpTOidDict =pickle.load(open(r"snmpTidOid.txt"))
snmpValueDict =pickle.load(open(r"snmpValueDict.txt"))

printsnmpValueDict['cmFacProtGroupRowStatus']

oid =netsnmp.Varbind(snmpTOidDict['cmFacProtGroupSwitchMode'], '1.1.1.1',
                     snmpValueDict['cmFacProtGroupSwitchMode']['oneplusone'],'INTEGER')
oid1 = netsnmp.Varbind(snmpTOidDict['cmFacProtGroupWorkPort'],'1.1.1.1',
                     snmpTOidDict['cmEthernetNetPortIndex'] + '.1.1.1.1','OBJECTID')
oid2 =netsnmp.Varbind(snmpTOidDict['cmFacProtGroupProtPort'], '1.1.1.1',
                      snmpTOidDict['cmEthernetNetPortIndex']+ '.1.1.1.2','OBJECTID')
oid3 =netsnmp.Varbind(snmpTOidDict['cmFacProtGroupRowStatus'], '1.1.1.1',
                     snmpValueDict['cmFacProtGroupRowStatus']['createAndGo'],'INTEGER')

resultList =netsnmp.snmpset(oid, oid1,oid2,oid3,Version=2,DestHost='172.23.192.44',Community='private')
print resultList

oid3 =netsnmp.Varbind(snmpTOidDict['cmFacProtGroupRowStatus'], '1.1.1.1',
                     snmpValueDict['cmFacProtGroupRowStatus']['destroy'],'INTEGER')
resultList =netsnmp.snmpset( oid3,Version=2,DestHost='172.23.192.44',Community='private')
print resultList
Normal07.8 pt02falsefalsefalseEN-USZH-CNX-NONE/* Style Definitions */table.MsoNormalTable{mso-style-name:"Table Normal";mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-parent:"";mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin:0cm;mso-para-margin-bottom:.0001pt;mso-pagination:widow-orphan;font-size:10.5pt;mso-bidi-font-size:11.0pt;font-family:"Calibri","sans-serif";mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman";mso-bidi-theme-font:minor-bidi;mso-font-kerning:1.0pt;}
当然上面这种调用方式,参数显得有点多,正式形成库时会再次封装。

  性能
  session =netsnmp.Session(Version=2,DestHost='172.23.192.44',Community='private')
  oid =netsnmp.Varbind('1.3.6.1.4.1.2544.1.12','',2,'INTEGER')
  oidList = netsnmp.VarList(oid)
  resultList =session.walk(oidList)
  print resultList         
  print len(resultList)
  
  通过上述代码,执行time ./test.py 。walk的效率:耗时:5m38.919s oid个数:13385
  平均秒只能获取约40个oid。和参考资料中测试得5560 oids/sec有百倍左右的差距。不过我们的设备已经吃到近90%的cpu,这部分有待以后继续研究优化。
  
  
  
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