# -*- coding: utf-8 -*-
import wave
import pylab as pl
import numpy as np
import pandas as pd
import os
import time
import datetime
import arrow
import chardet
import sys 
reload(sys) 
sys.setdefaultencoding('utf8') 
os.chdir("F:/new_srt")


#get words of srt file
###########################################
def get_word():
 path = "F:/new_srt"
 filelist = os.listdir(path)
 for files in filelist:
  print files
  encoding = chardet.detect(open(files,'r').read())['encoding']
  if encoding == 'utf-8':
   data=pd.read_csv(files,encoding="utf-8",sep='\r',header=None)
  elif encoding == 'GB2312':
   try:
    data=pd.read_csv(files,encoding="gbk",sep='\r',header=None)
   except UnicodeDecodeError:
    data=pd.read_csv(files,encoding="utf-8",sep='\r',header=None)
  elif encoding == 'UTF-8-SIG':
   data=pd.read_csv(files,encoding="UTF-8-SIG",sep='\r',header=None)
  else:
   print 'this is an error about %s' % files 

  data_new=pd.DataFrame(np.reshape(data.values, (-1,3)))
  data_new.columns=['index','timecut','content']
  filename = os.path.splitext(files)[0]  #filetype = os.path.splitext(files)[1]
  with open('F:/result.txt', 'a') as file:
   file.write(str(filename)+' ' )
   for item in data_new['content']:
    file.write(item.decode("utf-8") +' ') #s=s.decode("utf-8") 
   file.write('\n')


if __name__ == '__main__':
 get_word()