Django的全文检索功能(二):whoosh搜索引擎

whoosh:纯Python编写的全文搜索引擎,虽然性能比不上sphinx、xapian、Elasticsearc等,但是无二进制包,程序不会莫名其妙的崩溃,对于小型的站点,whoosh已经足够使用
jieba:一款免费的中文分词包,如果觉得不好用可以使用一些收费产品

安装whoosh:


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pip install whoosh  
安装中文分词库jieba:

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pip install jieba  

在项目的settings.py文件中
添加搜索引擎:


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HAYSTACK_CONNECTIONS = {  
    'default': {  
        'ENGINE': 'haystack.backends.whoosh_cn_backend.WhooshEngine',  
        'PATH': os.path.join(BASE_DIR, 'whoosh_index'),  
    }  
}  
  
#自动生成索引  
HAYSTACK_SIGNAL_PROCESSOR = 'haystack.signals.RealtimeSignalProcessor'  


创建中文分析ChineseAnalyzer.py,保存到haystack的安装文件夹\Lib\site-packages\haystack\backends里面。内容如下:


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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()  

复制whoosh_backend.py文件,改名为whoosh_cn_backend.py,打开whoosh_cn_backend.py进行修改。如下:

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添加:from .ChineseAnalyzer import ChineseAnalyzer 或者from jieba.analyse import ChineseAnalyzer  
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查找:analyzer=StemmingAnalyzer()  
改为:analyzer=ChineseAnalyzer()  

在应用目录下添加search_indexes.py文件:

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# coding=utf-8  
from haystack import indexes  
from models import GoodsInfo  
  
  
class GoodsInfoIndex(indexes.SearchIndex, indexes.Indexable):  
    text = indexes.CharField(document=True, use_template=True)  
  
    def get_model(self):  
        return GoodsInfo  
  
    def index_queryset(self, using=None):  
        return self.get_model().objects.all()  

在目录“templates/search/indexes/应用名称/”下创建“模型类名称_text.txt”文件:

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#goodsinfo_text.txt,这里列出了要对哪些列的内容进行检索  
{{ object.gName }}  
{{ object.gSubName }}  
{{ object.gDes }}  

在目录“templates/search/”下建立search.html:

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<!DOCTYPE html>  
<html>  
<head>  
    <title></title>  
</head>  
<body>  
{% if query %}  
    <h3>搜索结果如下:</h3>  
    {% for result in page.object_list %}  
        <a href="/{{ result.object.id }}/">{{ result.object.gName }}</a><br/>  
    {% empty %}  
        <p>啥也没找到</p>  
    {% endfor %}  
  
    {% if page.has_previous or page.has_next %}  
        <div>  
            {% if page.has_previous %}<a href="?q={{ query }}&page={{ page.previous_page_number }}">{% endif %}« 上一页{% if page.has_previous %}</a>{% endif %}  
        |  
            {% if page.has_next %}<a href="?q={{ query }}&page={{ page.next_page_number }}">{% endif %}下一页 »{% if page.has_next %}</a>{% endif %}  
        </div>  
    {% endif %}  
{% endif %}  
</body>  
</html>  

生成索引:

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python manage.py rebuild_index  

在模板中创建搜索栏:
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<form method='get' action="/search/" target="_blank">  
    <input type="text" name="q">  
    <input type="submit" value="查询">  
</form>  

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转载自blog.csdn.net/shilei123456789666/article/details/79119919