#!/usr/bin/python

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

import struct

import os

import sys

#拼音表偏移，

startPy = 0x1540

#汉语词组表偏移

startChinese = 0x2628

#全局拼音表

GPy_Table = {}

#解析结果

#元组(词频,拼音,中文词组)的列表

GTable = []

def byte2str(data):

    '''将原始字节码转为字符串'''

    i = 0

    length = len(data)

    ret = u''

    while i < length:

        x = data[i] + data[i+1]

        t = unichr(struct.unpack('H',x)[0])

        if t == u'\r':

            ret += u'\n'

        elif t != u' ':

            ret += t

        i += 2

    return ret

#获取拼音表

def getPyTable(data):

    if data[0:4] != "\x9D\x01\x00\x00":

        return None

    data = data[4:]

    pos = 0

    length = len(data)

    while pos < length:

        index = struct.unpack('H',data[pos]+data[pos+1])[0]

        #print index,

        pos += 2

        l = struct.unpack('H',data[pos]+data[pos+1])[0]

        #print l,

        pos += 2

        py = byte2str(data[pos:pos+l])

        #print py

        GPy_Table[index]=py

        pos += l

#获取一个词组的拼音

def getWordPy(data):

    pos = 0

    length = len(data)

    ret = u''

    while pos < length:

        index = struct.unpack('H',data[pos]+data[pos+1])[0]

        ret += GPy_Table[index]

        pos += 2

    return ret

#获取一个词组

def getWord(data):

    pos = 0

    length = len(data)

    ret = u''

    while pos < length:

        index = struct.unpack('H',data[pos]+data[pos+1])[0]

        ret += GPy_Table[index]

        pos += 2

    return ret

#读取中文表

def getChinese(data):

    #import pdb

    #pdb.set_trace()

    pos = 0

    length = len(data)

    while pos < length:

        #同音词数量

        same = struct.unpack('H',data[pos]+data[pos+1])[0]

        #print '[same]:',same,

        #拼音索引表长度

        pos += 2

        py_table_len = struct.unpack('H',data[pos]+data[pos+1])[0]

        #拼音索引表

        pos += 2

        # py = getWordPy(data[pos: pos+py_table_len])

        #中文词组

        pos += py_table_len

        for i in xrange(same):

            #中文词组长度

            c_len = struct.unpack('H',data[pos]+data[pos+1])[0]

            #中文词组

            pos += 2

            word = byte2str(data[pos: pos + c_len])

            #扩展数据长度

            pos += c_len

            ext_len = struct.unpack('H',data[pos]+data[pos+1])[0]

            #词频

            pos += 2

            count  = struct.unpack('H',data[pos]+data[pos+1])[0]

            # 保存

            # GTable.append((count,py,word))

            GTable.append(word)

            # 到下个词的偏移位置

            pos += ext_len

def deal(file_name):

    print '-'*60

    f = open(file_name, 'rb')

    data = f.read()

    f.close()

    if data[0:12] != "\x40\x15\x00\x00\x44\x43\x53\x01\x01\x00\x00\x00":

        print "确认你选择的是搜狗(.scel)词库?"

        sys.exit(0)

    #pdb.set_trace()

    print u"词库名：" ,byte2str(data[0x130:0x338])#.encode('GB18030')

    print u"词库类型：" ,byte2str(data[0x338:0x540])#.encode('GB18030')

    print u"描述信息：" ,byte2str(data[0x540:0xd40])#.encode('GB18030')

    # print u"词库示例：",byte2str(data[0xd40:startPy])#.encode('GB18030')

    #

    getPyTable(data[startPy:startChinese])

    getChinese(data[startChinese:])

if __name__ == '__main__':

    path1 = r'D:\myProject\textClassifier\inputfile1/'.replace('\\', '/')

    path2 = r'D:\myProject\textClassifier\outputfile/'.replace('\\', '/')

    for filename in os.listdir(path1):

        print filename

        deal(path1 + filename)

    # 保存结果

    f = open(path2 + 'sougou.txt', 'w')

    # 删除相同元素

    GTable_filter = sorted(set(GTable), key=GTable.index)

    for word in GTable_filter:

        f.write(unicode(word).encode('GB18030'))

        f.write('\n')

    f.close()