2021SC@SDUSC
测试代码：
# -*- coding: UTF-8 -*-
from __future__ import unicode_literals
import sys,os
sys.path.append("../")
from whoosh.index import create_in,open_dir
from whoosh.fields import *
from whoosh.qparser import QueryParserfrom jieba.analyse.analyzer import ChineseAnalyzeranalyzer = ChineseAnalyzer()
print(analyzer.items)
schema = Schema(title=TEXT(stored=True), path=ID(stored=True), content=TEXT(stored=True, analyzer=analyzer))
if not os.path.exists("tmp"):os.mkdir("tmp")ix = create_in("tmp", schema) # for create new index
#ix = open_dir("tmp") # for read only
writer = ix.writer()writer.add_document(title="document1",path="/a",content="This is the first document we’ve added!"
)writer.add_document(title="document2",path="/b",content="The second one 你 中文测试中文 is even more interesting! 吃水果"
)writer.add_document(title="document3",path="/c",content="买水果然后来世博园。"
)writer.add_document(title="document4",path="/c",content="工信处女干事每月经过下属科室都要亲口交代24口交换机等技术性器件的安装工作"
)writer.add_document(title="document4",path="/c",content="咱俩交换一下吧。"
)writer.commit()
searcher = ix.searcher()
parser = QueryParser("content", schema=ix.schema)for keyword in ("水果世博园","你","first","中文","交换机","交换"):print("result of ",keyword)q = parser.parse(keyword)results = searcher.search(q)for hit in results:print(hit.highlights("content"))print("="*10)for t in analyzer("我的好朋友是李明;我爱北京天安门;IBM和Microsoft; I have a dream. this is intetesting and interested me a lot"):print(t.text)
运行结果：
使用search(q)可以查找writer写入的句子中包含关键词q的句子。
analyzer(sentence)可以以search mode 将句子切分，并且有其stop_words，跳过这些词条。