#encoding=utf-8
from whoosh.analysis import RegexAnalyzer,LowercaseFilter,StopFilter
from whoosh.analysis import Tokenizer,Token 

import jieba
import re

STOP_WORDS = frozenset(('a', 'an', 'and', 'are', 'as', 'at', 'be', 'by', 'can',
                        'for', 'from', 'have', 'if', 'in', 'is', 'it', 'may',
                        'not', 'of', 'on', 'or', 'tbd', 'that', 'the', 'this',
                        'to', 'us', 'we', 'when', 'will', 'with', 'yet',
                        'you', 'your',u'的',u'了',u'和'))

accepted_chars = re.compile(ur"[\u4E00-\u9FA5]+")

class ChineseTokenizer(Tokenizer):
	def __call__(self,text,**kargs):
		words = jieba.tokenize(text,mode="search")
		token  = Token()
		for (w,start_pos,stop_pos) in words:
			if not accepted_chars.match(w):
				if len(w)>1:
					pass
				else:
					continue
			token.text = w
			token.pos = start_pos
			token.startchar = start_pos
			token.endchar = stop_pos
			yield token

def ChineseAnalyzer(stoplist=STOP_WORDS,minsize=1):
	return ChineseTokenizer() | LowercaseFilter() | StopFilter(stoplist=stoplist,minsize=minsize)