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python写的一个squid访问日志分析的小程序

2020-02-23 05:47:57
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这两周组里面几位想学习python,于是我们就创建了一个这样的环境和氛围来给大家学习。

昨天在群里,贴了一个需求,就是统计squid访问日志中ip 访问数和url的访问数并排序,不少同学都大体实现了相应的功能,我把我简单实现的贴出来,欢迎拍砖:

日志格式如下:

代码如下:
%ts.%03tu %6tr %{X-Forwarded-For}>h %Ss/%03Hs %<st %rm %ru  %un %Sh/%<A %mt "%{Referer}>h" "%{User-Agent}>h" %{Cookie}>h

代码如下:
1372776321.285      0 100.64.19.225 TCP_HIT/200 8560 GET http://img1.jb51.net/games/0908/19/1549401_3_80x100.jpg  - NONE/- image/jpeg "//www.jb51.net/" "Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0; QQDownload 734; .NET4.0C; .NET CLR 2.0.50727)" pcsuv=0;%20pcuvdata=lastAccessTime=1372776317582;%20u4ad=33480hn;%20c=14arynt;%20uf=1372776310453

代码如下:
#!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
from optparse import OptionParser
'''
    仅仅是一个关于日志文件的测试,统计处access.log 的ip数目
'''
try:
    f = open('/data/proclog/log/squid/access.log')
except IOError,e:
    print "can't open the file:%s" %(e)
 
def log_report(field):
    '''
        return the field of the access log
    '''
    if field == "ip":
        return  [line.split()[2] for line in f]
    if field == "url":
        return  [line.split()[6] for line in f]
def log_count(field):
    '''
        return a dict of like {field:number}
    '''
    fields2 = {}
    fields = log_report(field)
    for field_tmp in fields:
        if field_tmp in fields2:
            fields2[field_tmp] += 1
        else:
            fields2[field_tmp] = 1
    return fields2
def log_sort(field,number = 10 ,reverse = True):
    '''
        print the sorted fields to output
    '''
    for v in sorted(log_count(field).iteritems(),key = lambda x:x[1] , reverse = reverse )[0:int(number)]:
        print v[1],v[0]
if __name__ == "__main__":
    parser =OptionParser(usage="%prog [-i|-u] [-n num | -r]" ,version = "1.0")
    parser.add_option('-n','--number',dest="number",type=int,default=10,help=" print top line of the ouput")

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