1.进入到安装了全文检索工具包的虚拟环境中

/home/python/.virtualenvs/py3_django/lib/python3.5/site-packages/

进入到haystack/backends/中

2.创建ChineseAnalyzer.py文件

 import jieba

 from whoosh.analysis import Tokenizer, Token

 class ChineseTokenizer(Tokenizer):

     def __call__(self, value, positions=False, chars=False,

                  keeporiginal=False, removestops=True,

                  start_pos=0, start_char=0, mode='', **kwargs):

         t = Token(positions, chars, removestops=removestops, mode=mode, **kwargs)

         seglist = jieba.cut(value, cut_all=True)

         for w in seglist:

             t.original = t.text = w

             t.boost = 1.0

             if positions:

                 t.pos = start_pos + value.find(w)

             if chars:

                 t.startchar = start_char + value.find(w)

                 t.endchar = start_char + value.find(w) + len(w)

             yield t

 def ChineseAnalyzer():

     return ChineseTokenizer()

3.拷贝whoosh_backend.py为whoosh_cn_backend.py

cp whoosh_backend.py whoosh_cn_backend.py

4.更改分词的类为ChineseAnalyzer

打开并编辑 whoosh_cn_backend.py

引入from .ChineseAnalyzer import ChineseAnalyzer

查找

  analyzer=StemmingAnalyzer()

  改为

  analyzer=ChineseAnalyzer()

5.更改分词引擎

6.重新创建索引数据

python manage.py rebuild_index

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电脑私钥和公钥生成openssl

openssl

genrsa -out app_private_key.pem 2048 #私钥

rsa -in app_private_key.pem  -pubout -out app_public_key.pem #导出公钥