标签：端口统计 python tcp连接数统计 python统计连接数
此脚本可以用来统计某个端口上连接的IP的数量，统计连接到这一端口的所有IP、最多的IP和次数以及TCP连接状态。
涉及到Python读取网络连接统计信息以及统计计算的一些基本操作。在编写脚本的过程中预先定义了统计信息的数据结构，在向最终结果中添加统计信息时需要用到list去重功能，因此临时创建了一个列表使用set()函数去重。set()函数不能直接add字典类型，因此先将字典转成可哈希的字符串，再将去重后的字符串转成字典。其中字典、列表和集合都属于不可哈希的类型。
此脚本可以用于Windows、Linux以及OSX，其中OSX上运行需要使用root权限（由于psutil的原因），使用时直接使用python运行此脚本文件即可。如果提示‘ImportError’，则使用pip安装所缺的模块，非特权用户使用pip安装模块时需要使用sudo。
脚本内已经设定port为22,可以自己修改代码，使它允许成接收命令行位置参数或者手动输入。
运行效果图如下：
1.使用root用户运行
2.使用非特权用户运行
脚本文件可以通过GitHub获取：https://github.com/DingGuodong/LinuxBashShellScriptForOps/blob/master/functions/net/tcp/port/portStatistics.py
脚本内容如下：
#!/usr/bin/python
# encoding: utf-8
# -*- coding: utf8 -*-
"""
Created by PyCharm.
File: LinuxBashShellScriptForOps:portStatistics.py
User: Guodong
Create Date: 2016/10/27
Create Time: 10:51
Note:
Usage:
Using user as you want in Linux/Windows system.
The python module ‘psutil‘ and ‘prettytable‘ is required, using pip
install them.
```
pip install psutil prettytable
```
On OSX this function requires root privileges.
# python portStatistics.py
Total connections of port 22 is 10.
+--------------+-------------------+-------------------+-----------------+--------------+
| Total Counts | Remote IP Address | Established Conns | Time_wait Conns | Others Conns |
+--------------+-------------------+-------------------+-----------------+--------------+
| 5 | 10.6.28.46 | 5 | 0 | 0 |
| 1 | 10.6.28.35 | 1 | 0 | 0 |
| 1 | 10.6.28.27 | 1 | 0 | 0 |
| 2 | 10.6.28.135 | 2 | 0 | 0 |
| 1 | 10.6.28.125 | 1 | 0 | 0 |
+--------------+-------------------+-------------------+-----------------+--------------+
Elapsed time: 0.0104579925537 seconds.
#
"""
import psutil
import prettytable
import time
startTime = time.time()
port = 22 # ssh -i /etc/ssh/ssh_host_rsa_key root@10.6.28.28
# define data structure for each connection, each ip is unique unit
ipaddress = {
‘ipaddress‘: None,
‘counts‘: 0,
‘stat‘: {
‘established‘: 0,
‘time_wait‘: 0,
‘others‘: 0
}
}
# define data structure for statistics
statistics = {
‘portIsUsed‘: False,
‘portUsedCounts‘: 0,
‘portPeerList‘: [
{
‘ipaddress‘: None,
‘counts‘: 0,
‘stat‘: {
‘established‘: 0,
‘time_wait‘: 0,
‘others‘: 0
},
},
]
}
tmp_portPeerList = list()
portPeerSet = set()
netstat = psutil.net_connections()
# get all ip address only for statistics data
for i, sconn in enumerate(netstat):
if port in sconn.laddr:
statistics[‘portIsUsed‘] = True
if len(sconn.raddr) != 0:
statistics[‘portUsedCounts‘] += 1
ipaddress[‘ipaddress‘] = sconn.raddr[0]
tmp_portPeerList.append(str(ipaddress)) # dict() list() set() is unhashable type, collections.Counter
for ip in tmp_portPeerList:
portPeerSet.add(str(ip)) # remove duplicated ip address using set()
for member in portPeerSet:
statistics[‘portPeerList‘].append(eval(member))
# add statistics data for each ip address
for sconn in netstat:
if port in sconn.laddr:
if len(sconn.raddr) != 0:
for i, item in enumerate(statistics[‘portPeerList‘]):
if item[‘ipaddress‘] == sconn.raddr[0]:
statistics[‘portPeerList‘][i][‘counts‘] += 1
if sconn.status == ‘ESTABLISHED‘:
statistics[‘portPeerList‘][i][‘stat‘][‘established‘] += 1
elif sconn.status == ‘TIME_WAIT‘:
statistics[‘portPeerList‘][i][‘stat‘][‘time_wait‘] += 1
else:
statistics[‘portPeerList‘][i][‘stat‘][‘others‘] += 1
# print statistics result using prettytable
if statistics[‘portIsUsed‘]:
print "Total connections of port %s is %d." % (port, statistics[‘portUsedCounts‘])
table = prettytable.PrettyTable()
table.field_names = ["Total Counts", "Remote IP Address", "Established Conns", "Time_wait Conns",
"Others Conns"]
for i, ip in enumerate(statistics[‘portPeerList‘]):
if ip[‘ipaddress‘] is not None:
table.add_row([ip[‘counts‘], ip[‘ipaddress‘], ip[‘stat‘][‘established‘], ip[‘stat‘][‘time_wait‘],
ip[‘stat‘][‘others‘]])
print table.get_string(sortby=table.field_names[1], reversesort=True)
else:
print ‘port %s has no connections, please make sure port is listen or in use.‘ % port
endTime = time.time()
print "Elapsed time: %s seconds." % (endTime - startTime)tag:端口统计,python TCP连接数统计,Python统计连接数
--end--
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标签：端口统计 python tcp连接数统计 python统计连接数
原文地址：http://dgd2010.blog.51cto.com/1539422/1866690
