Python实现获取nginx服务器ip及流量统计信息功能示例

本文实例讲述了Python实现获取nginx服务器ip及流量统计信息功能。分享给大家供大家参考，具体如下：

#!/usr/bin/python
#coding=utf8
log_file = "/usr/local/nginx/logs/access.log"
with open(log_file) as f:
contexts = f.readlines()
# define ip dict###
ip = {}   # key为ip信息，value为ip数量（若重复则只增加数量）
flow = {}  # key为ip信息，value为流量总和
sum = 0
for line in contexts:
# count row size of flow
size = line.split()[9]
# print ip
ip_attr = line.split()[0]
# count total size of flow
sum = int(size) + sum
if ip_attr in ip.keys():  # if ip repeated，如果ip重复就将ip数量加一，而流量继续叠加
# count of ip plus 1
ip[ip_attr] = ip[ip_attr] + 1
# size of flow plus size
flow[ip_attr] = flow[ip_attr] + int(size)
else:
# if ip not repeated
# define initial values of count of ip and size of flow
ip[ip_attr] = 1
flow[ip_attr] = int(size)
print(ip)
print(flow)
print(sum/1024/1024)

现在有nginx的访问日志：

[root@weblogic ~]# cat access.log
192.168.223.1 - - [18/Jul/2017:10:21:25 +0800] "GET /favicon.ico HTTP/1.1" 192.168.223.136:8080 404 24 "http://192.168.223.136:8080/proxy_path/index.html" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36" "-"
192.168.223.136 "192.168.223.1" - - [17/Jul/2017:17:06:44 +0800] "GET /index.html HTTP/1.0" "192.168.223.136" 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko" "192.168.223.1"
192.168.223.1 - - [18/Jul/2017:10:30:12 +0800] "GET /proxy_path/index.html HTTP/1.1" 192.168.223.136:8080 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36" "-"
192.168.223.136 "192.168.223.1" - - [18/Jul/2017:10:30:12 +0800] "GET /index.html HTTP/1.0" "192.168.223.137" 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36" "192.168.223.1"
192.168.223.1 - - [18/Jul/2017:10:38:38 +0800] "GET /proxy_path/index.html HTTP/1.1" 192.168.223.136:8080 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36" "-"
192.168.223.136 "192.168.223.1" - - [18/Jul/2017:10:38:38 +0800] "GET /index.html HTTP/1.0" "192.168.223.136:80" 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36" "192.168.223.1"
192.168.223.1 - - [18/Jul/2017:10:45:07 +0800] "GET /proxy_path/index.html HTTP/1.1" 192.168.223.136:8080 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36" "-"
192.168.223.136 "192.168.223.1" - - [18/Jul/2017:10:45:07 +0800] "GET /index.html HTTP/1.0" "192.168.223.136:80" 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36" "192.168.223.1"
192.168.223.1 - - [18/Jul/2017:10:51:25 +0800] "GET /proxy_path/index.html HTTP/1.1" 192.168.223.136:8080 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36" "-"
192.168.223.136 "192.168.223.1" - - [18/Jul/2017:10:51:25 +0800] "GET /index.html HTTP/1.0" "192.168.223.136:80" 304 0 "-" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36" "192.168.223.1"

利用python将nginx的ip进行统计

思路：将文件内容一行一行都出来，然后进行字符串strip().split()，得到一个列表，列表的第一个元素就是ip的内容

初始化一个空字典，用key表示ip内容，value表示该ip的个数，如果ip重复了，则将value进行增加：

[root@weblogic ~]# cat nginx.py
#!/usr/bin/python
#coding=utf8
log_file = "/root/access.log"
ip = {}
with open(log_file) as f:
for i in f.readlines():
print i.strip().split()[0]
ip_attr = i.strip().split()[0]
if ip_attr in ip.keys():      # 如果ip存在于字典中，则将该ip的value也就是个数进行增加
ip[ip_attr] = ip[ip_attr] + 1
else:
ip[ip_attr] = 1
print ip

获取执行结果：

[root@weblogic ~]# python nginx.py
192.168.223.1
192.168.223.136
192.168.223.1
192.168.223.136
192.168.223.1
192.168.223.136
192.168.223.1
192.168.223.136
192.168.223.1
192.168.223.136
{'192.168.223.1': 5, '192.168.223.136': 5}

更多关于Python相关内容可查看本站专题：《Python日志操作技巧总结》、《Python数据结构与算法教程》、《Python函数使用技巧总结》、《Python字符串操作技巧汇总》、《Python入门与进阶经典教程》及《Python文件与目录操作技巧汇总》

希望本文所述对大家Python程序设计有所帮助。

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