Python日志监控（发音版）

前段时间有朋友让帮忙做一个日志监控的脚本，要求如下：

• 1.windows环境
• 2.当匹配日志关键字时会发出声音，匹配的关键字不同，播放的声音不同
• 3.能做到实时响应

于是从网上找了个windows版的tail，使用python简单写了个小脚本，代码如下：

#!/usr/bin/env python
# encoding: utf-8

"""
MonitorLog.py

Usage: MonitorLog.py ...
Monitor the log file

-f  log file
-h  help info

python MonitorLog.py -f C:\monitor.log

Created by zhoubo on 2011-08-29.
"""

import sys
import os
import getopt
import subprocess
import time
import codecs
import winsound

ABSPATH = os.path.dirname(os.path.abspath(__file__))
MONITERCONF = 'moniter_keyword.txt' #utf8 file

def main():
    try:
        opts, args = getopt.getopt(sys.argv[1:], 'hf:')
    except getopt.GetoptError, err:
        print str(err)
        print __doc__
        return 1
    
    path = ''
    for k, v in opts:
        if k == '-f':
            path = v
        elif k == '-h':
            print __doc__
            return 0

    if not (path and os.path.exists(path)):
        print 'Invalid path: %s' % path 
        print __doc__
        return 2
    
    #命令行元组
    cmd = ('tail', '-f', path)
    print ' '.join(cmd)
    output = subprocess.Popen(cmd, stdout=subprocess.PIPE)
    
    keywordMap = {}
    #加载监控的关键字信息
    with codecs.open(os.path.join(ABSPATH, MONITERCONF), 'r', 'utf8') as f:
        lines = f.readlines()
    for line in lines:
        line = line.strip()
        if not line:
            continue
        keyword, wav = line.strip().split(':')
        keywordMap[keyword] = wav
    
    while True:
        line = output.stdout.readline()
        #process code,得到输出信息后的处理代码
        if not line:
            time.sleep(0.01)
            continue
        line = line.strip().decode('utf8')
        print line
        for keyword in keywordMap:
            if line.find(keyword) > -1:
                winsound.PlaySound(keywordMap[keyword], 
                                   winsound.SND_NODEFAULT)
        #time.sleep(0.01)
    return 0

if __name__ == '__main__':
    sys.exit(main())

其中moniter_keyword.txt格式为keyword:sound.wav 示例文件如下：

192.168.8.84:1.wav
sha1:3.wav
download:2.wav