标签：processor info rtc keep 效率 value obj pip安装 self
全文检索不同于特定字段的模糊查询，使用全文检索的效率更高，并且能够对于中文进行分词处理
需要的第三方库：
pip install django-haystack
pip install whoosh
pip install jieba
INSTALLED_APPS = ( ... ‘haystack‘, )
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‘
urlpatterns = [ ... url(r‘^search/‘, include(‘haystack.urls‘)), ]
# 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()
#goodsinfo_text.txt，这里列出了要对哪些列的内容进行检索,模型类中的某些字段 {{ object.gName }} {{ object.gSubName }} {{ object.gDes }}
<!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>
保存在haystack的安装文件夹下，路径如“/home/python/.virtualenvs/django_py2/lib/python2.7/site-packages/haystack/backends”
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()
from .ChineseAnalyzer import ChineseAnalyzer 查找 analyzer=StemmingAnalyzer() 改为 analyzer=ChineseAnalyzer()
初始化索引：
python manage.py rebuild_index
<form method=‘get‘ action="/search/" target="_blank"> <input type="text" name="q"> <input type="submit" value="查询"> </form>
标签：processor info rtc keep 效率 value obj pip安装 self
原文地址：https://www.cnblogs.com/welan/p/9231430.html
