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# -*- coding: utf-8 -*-

# writer : lgy

# data : 2017-07-20

# today i want to write my first code file in company

import sys

sys.path.append("../../")

reload(sys)

# print sys.getdefaultencoding()

sys.setdefaultencoding('utf-8')

from os import listdir

from os.path import isfile,join

import preProcess

import xlrd

from MyCode import config

import codecs

import pickle

def readCorpusExcel(file):

bk = xlrd.open_workbook(file)

table_names = bk.sheet_names()

return bk,table_names

#read Excel corpus data

def readExcel(file):

bk = xlrd.open_workbook(file)

table_names = bk.sheet_names()

tables = []

for table_name in table_names:

table = bk.sheet_by_name(table_name)

tables.append(table)

return tables

#

def readTXTFile(file):

sentences = []

with codecs.open(file,'r',encoding='utf-8') as fp:

line = fp.readline()

while line:

sentences.append(line)

line = fp.readline()

return sentences

# get corpus sentences QR pairs

def getSentence(tables):

Q_sentences = []

R_sentences = []

for table in tables:

for i in xrange(table.nrows):

line = table.row_values(i)[0]

Q_sentences.append(line.strip())

return Q_sentences,R_sentences

def getFileSentence(file="../Data/corpus/Sentence_QR_pair_0714.xlsx"):

tables = readExcel(file)

Q_s,R_s = getSentence(tables)

return Q_s,R_s

def getCorpusFromExcel(file=config.SimilarlySentencePath+'corpus_0829.xlsx'):

tables = readExcel(file)

table = [tables[1]]

def getOneSheetContext(file,sheet):

table = getOneSheetfile(file,sheet)

Q_id,Q,R = [],[],[]

for i in xrange(table.nrows):

Q_id.append(table.row_values(i)[0])

Q.append(table.row_values(i)[1])

R.append(table.row_values(i)[2])

return Q_id,Q,R

def getOneSheetfile(file,sheet):

bk = xlrd.open_workbook(file)

table_names = bk.sheet_names()

table = bk.sheet_by_name(sheet)

return table

# 获取目录

def getAllFilesInDir(dirPath):

files = [f for f in listdir(dirPath) if isfile(join(dirPath,f))]

# print files

# for file in files:

# print file

return files

# 获取目录下所有文件问题句子

def getAllFilesContext(files,dirPath):

print "Reading ... ..."

sentences = []

for file in files:

if file[-4:] == '.txt':

lines = readTXTFile(dirPath+"/"+file)

# sentences.extend()

if file.find("shurufa"):

sentences.extend(lines)

else:

sentences.extend(preProcess.removeContext(lines))

elif file[-5:] == '.xlsx' or file[-4:] == '.xls':

Q_s,R_s = getFileSentence(dirPath+'/'+file)

sentences.extend(Q_s)

else:

continue

print 'Finished reading ... ...'

return list(set(sentences))

# 获取所有的Excel file

def getAllExcelFile(files,dirPath):

sentences = []

for file in files:

# print file

if file[-5:] == '.xlsx' or file[-4:] == '.xls':

Q_s,R_s = getFileSentence(dirPath+file)

sentences.extend(Q_s)

return sentences

def readStopWord(file):

stop_words = []

with open(file,"r") as fp:

line = fp.readline()

while line:

stop_words.append(line.split('\n')[0])

line = fp.readline()

return stop_words

def readPunctuation(file):

Punctuation = []

with open(file,'r') as fp:

line = fp.read().split('\n')[0]

Punctuation = line.split(' ')

return Punctuation

def getQueriesWithId(filename = 'AllQueriesWithID'):

sentences = []

with codecs.open(MyCode.config.QueryPath+filename+ '.txt', 'r') as fp:

line = fp.readline()

while line :

items = line.strip().split("\t")

sentences.append(items[1])

line = fp.readline()

return sentences

def read_souhu_fenci_file(filePath=config.CorpusFilePath,subfilename='souhu_fenci'):

file = filePath+subfilename

sentences = []

for i in xrange(10):

curfile = file + "{:02d}".format(i)+".txt"

with codecs.open(curfile,'r',encoding='utf-8') as fp:

line = fp.readline()

while line :

sentences.append(line.strip())

line = fp.readline()

return sentences

def ReadValueFromFile(self,file="trainData_X"):

file = config.ModelPath+file+".model"

model = None

with open(file,'rb') as fp:

try :

model = pickle.load(fp)

except Exception,e:

model = None

# finally:

# model = None

return model

def getQueriesSentence(file=config.SimilarlySentencePath+"AllQueriesWithID.txt"):

# file =

sentences = readTXTFile(file)

quries = []

for sen in sentences:

quries.append(sen.strip().split("\t")[1].replace(" ",''))

return quries

def main():

sentences = getQueriesSentence()

for sen in sentences:

print sen

# files = getAllFilesInDir(config.CorpusFilePath)

# sentences = getAllExcelFile(files,config.CorpusFilePath)

# for sen in sentences:

# print sen

# getQueriesWithId('AllQueriesWithID')

# 备份

# def filter(self,sentence):

# # filter the second person ralationship and Determine sentences topic as 'relationship'

# for i in xrange(len(sentence.words)):

# if u'人|关系' in sentence.words[i].word_semantic and (sentence.words[i-1].text == u'你'\

# or sentence.words[i-1].text == u'你的'):

# sentence.topics[0] = u'relationship'

# break

#

# return

# self.filter(sentence)

if __name__ == '__main__':

main()