Apache/Nginx 访问日志分析脚本（1）
http://linux5588.blog.51cto.com/65280/1191027脚本功能：
脚本采用python2.7编写，用来分析Apahce的访问日志
脚本用法：
脚本名 Apache的访问日志 [想要显示的行数]
更新：
1.第二版：增加 显示指定的行数
2.增加Nginx日志分析脚本
脚本执行效果如下：
脚本内容如下：
nginx访问日志分析脚本
#!/usr/bin/env python # coding=utf-8#------------------------------------------------------ # Name: nginx 日志分析脚本 # Purpose: 此脚本只用来分析nginx的访问日志 # Version: 1.0 # Author: LEO # BLOG: http://linux5588.blog.51cto.com # EMAIL: chanyipiaomiao@163.com # Created: 2013-05-07 # Modified: 2013-05-07 # Copyright: (c) LEO 2013 #------------------------------------------------------import sys import time#该类是用来打印格式 class displayFormat(object): def format_size(self,size): '''''格式化流量单位''' KB = 1024 #KB -> BB是字节 MB = 1048576 #MB -> B GB = 1073741824 #GB -> B TB = 1099511627776#TB -> B if size >= TB : size = str(size / TB) + 'T' elif size < KB : size = str(size) + 'B' elif size >= GB and size < TB: size = str(size / GB) + 'G' elif size >= MB and size < GB : size = str(size / MB) + 'M' else : size = str(size / KB) + 'K' return size #定义字符串格式化 formatstring = '%-15s %-10s %-12s %8s %10s %10s %10s %10s %10s %10s %10s' def transverse_line(self) : '''''输出横线''' print self.formatstring % ('-'*15,'-'*10,'-'*12,'-'*12,'-'*10,'-'*10,'-'*10,'-'*10,'-'*10,'-'*10,'-'*10) def head(self): '''''输出头部信息''' print self.formatstring % ('IP','Traffic','Times','Times%','200','404','500','403','302','304','503') def error_print(self) : '''''输出错误信息''' print print 'Usage : ' + sys.argv + ' NginxLogFilePath ' print sys.exit(1) def execut_time(self): '''''输出脚本执行的时间''' print print "Script Execution Time: %.3f second" % time.clock() print#该类是用来生成主机信息的字典 class hostInfo(object): host_info = ['200','404','500','302','304','503','403','times','size'] def __init__(self,host): self.host = host = {}.fromkeys(self.host_info,0) def increment(self,status_times_size,is_size): '''''该方法是用来给host_info中的各个值加1''' if status_times_size == 'times': self.host['times'] += 1 elif is_size: self.host['size'] = self.host['size'] + status_times_size else: self.host += 1 def get_value(self,value): '''''该方法是取到各个主机信息中对应的值''' return self.host#该类是用来分析文件 class fileAnalysis(object): def __init__(self): '''''初始化一个空字典''' self.report_dict = {} self.total_request_times,self.total_traffic,self.total_200, \ self.total_404,self.total_500,self.total_403,self.total_302, \ self.total_304,self.total_503 = 0,0,0,0,0,0,0,0,0 def split_eachline_todict(self,line): '''''分割文件中的每一行，并返回一个字典''' split_line = line.split() split_dict = {'remote_host':split_line,'status':split_line,\ 'bytes_sent':split_line,} return split_dict def generate_log_report(self,logfile): '''''读取文件，分析split_eachline_todict方法生成的字典''' for line in logfile: try: line_dict = self.split_eachline_todict(line) host = line_dict['remote_host'] status = line_dict['status'] except ValueError : continue except IndexError : continue if host not in self.report_dict : host_info_obj = hostInfo(host) self.report_dict = host_info_obj else : host_info_obj = self.report_dict host_info_obj.increment('times',False) if status in host_info_obj.host_info : host_info_obj.increment(status,False) try: bytes_sent = int(line_dict['bytes_sent']) except ValueError: bytes_sent = 0 host_info_obj.increment(bytes_sent,True) return self.report_dict def return_sorted_list(self,true_dict): '''''计算各个状态次数、流量总量，请求的总次数，并且计算各个状态的总量 并生成一个正真的字典，方便排序''' for host_key in true_dict : host_value = true_dict times = host_value.get_value('times') self.total_request_times = self.total_request_times + times size = host_value.get_value('size') self.total_traffic = self.total_traffic + size o200 = host_value.get_value('200') o404 = host_value.get_value('404') o500 = host_value.get_value('500') o403 = host_value.get_value('403') o302 = host_value.get_value('302') o304 = host_value.get_value('304') o503 = host_value.get_value('503') true_dict = {'200':o200,'404':o404,'500':o500,\ '403':o403,'302':o302,'304':o304, \ '503':o503,'times':times,'size':size} self.total_200 = self.total_200 + o200 self.total_404 = self.total_404 + o404 self.total_500 = self.total_500 + o500 self.total_302 = self.total_302 + o302 self.total_304 = self.total_304 + o304 self.total_503 = self.total_503 + o503 sorted_list = sorted(true_dict.items(),key=lambda t:(t['times'],\ t['size']),reverse=True) return sorted_listclass Main(object): def main(self) : '''''主调函数''' display_format = displayFormat() arg_length = len(sys.argv) if arg_length == 1 : display_format.error_print() elif arg_length == 2 or arg_length == 3: infile_name = sys.argv try : infile = open(infile_name,'r') if arg_length == 3 : lines = int(sys.argv) else : lines = 0 except IOError,e : print print e display_format.error_print() except ValueError : print print "Please Enter A Volid Number !!" display_format.error_print() else : display_format.error_print() fileAnalysis_obj = fileAnalysis() not_true_dict = fileAnalysis_obj.generate_log_report(infile) log_report = fileAnalysis_obj.return_sorted_list(not_true_dict) total_ip = len(log_report) if lines : log_report = log_report infile.close() print total_traffic = display_format.format_size(fileAnalysis_obj.total_traffic) total_request_times = fileAnalysis_obj.total_request_times print 'Total IP: %s Total Traffic: %s Total Request Times: %d' \ % (total_ip,total_traffic,total_request_times) print display_format.head() display_format.transverse_line() for host in log_report : times = host['times'] times_percent = (float(times) / float(fileAnalysis_obj.total_request_times)) * 100 print display_format.formatstring % (host,\ display_format.format_size(host['size']),\ times,str(times_percent),\ host['200'],host['404'],\ host['500'],host['403'],\ host['302'],host['304'],host['503']) if (not lines) or total_ip == lines : display_format.transverse_line() print display_format.formatstring % (total_ip,total_traffic, \ total_request_times,'100%',\ fileAnalysis_obj.total_200,\ fileAnalysis_obj.total_404,\ fileAnalysis_obj.total_500, \ fileAnalysis_obj.total_403,\ fileAnalysis_obj.total_302, \ fileAnalysis_obj.total_304,\ fileAnalysis_obj.total_503) display_format.execut_time()if __name__ == '__main__': main_obj = Main() main_obj.main()Apache/Nginx 访问日志分析脚本（2）
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