分析ip流量的python脚本

日志文件格式如下

172.16.225.66	10.71.2.162	1612409
172.16.15.252	10.71.11.31	1210446
172.16.15.252	10.71.11.59	1197976
172.16.15.252	10.71.11.30	1166167
172.16.15.252	10.71.11.66	1149429
172.16.15.252	10.71.11.65	1124686
172.16.15.252	10.71.11.46	1110412

 

 使用anychart图标插件

<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8" />
<title>AnyChart Sample</title>
<script type="text/javascript" language="javascript" src="./AnyChart.js"></script>
</head>
<body>
    <script type="text/javascript" language="javascript">
    //<![CDATA[
    var chart = new AnyChart('./AnyChart.swf');
    chart.width = 800;
    chart.height = 500;
    chart.setXMLFile('./buildxml/');
    chart.write();
    //]]>
    </script>
</body>
</html>

 

数据由这个地址提供 

chart.setXMLFile('./buildxml/');

这个地址由Django生成 （写的很糙，新手）

#!/usr/bin/python
# -*- coding:utf-8 -*-
import glob
import datetime
from django.http import HttpResponse



#build dynamic data
def build_xml(request):
    file_list = glob.glob('/vm_share/Bps*')
    file_list.sort()

    result = {}

    for id,fn in enumerate(file_list):
        for line in open(fn):
            src_ip, dest_ip, flow = line.split()
            result.setdefault(src_ip, [0] * len(file_list))[id] += int(flow) / 1000
            result.setdefault(dest_ip, [0] * len(file_list))[id] += int(flow) / 1000
    del_list = []
    for key in result:
        if max(result[key]) <= 5000:
            del_list.append(key)

    for key in del_list:
        del result[key]
    
    #build xml format
    xml_start = r'''
    <?xml version="1.0" encoding="UTF-8"?>
    <anychart>
    <settings>
    <animation enabled="True" />
    </settings>
    <charts>
    <chart>
    <data_plot_settings default_series_type="Line">
    <line_series>
    <tooltip_settings enabled="true">
    <format>
    IP:{%SeriesName}
    流量:{%Value}{numDecimals:0}
    </format>
    </tooltip_settings>
    </line_series>
    </data_plot_settings>
    <data>
    '''
    xml_end = r'''
    </data>
    <chart_settings>
    <title>
    <text>IP流量分析</text>
    </title>
    <axes>
    <y_axis>
    <title>
    <text>KB/s</text>
    </title>
    </y_axis>
    <x_axis>
    <labels align="Outside" />
    <title>
    <text>时间</text>
    </title>
    </x_axis>
    </axes>
    </chart_settings>
    </chart>
    </charts>
    </anychart>
    '''
    
    start_time = datetime.datetime(2012,07,26,20,04,00)
    time_interval = datetime.timedelta(minutes=5)
    time_axis = []
    for i in range(len(file_list)):
        time_axis.append(start_time.strftime('%H:%M'))
        start_time += time_interval
    xml = ''
    for ip in result:
        i = 0
        xml_data = '<series name="%s" >' %ip
        xml += xml_data
        for point in result[ip]:
            xml_data = '<point name="%s" y="%s" />' %(time_axis[i], point)
            xml += xml_data
            i += 1
        xml_data = '</series>'
        xml += xml_data
    return HttpResponse(xml_start + xml + xml_end)

 

这是展示

posted @ 2012-07-27 16:17  txwsqk  阅读(1969)  评论(1)    收藏  举报