前言：
全文检索就是针对所有内容进行动态匹配搜索的概念，针对特定的关键词建立索引并精确匹配达到性能优化的目的
class Whoose_seach(object):
analyzer = ChineseAnalyzer() # 导入中文分词工具
def __init__(self,table,field,url):
self.field=field
self.schema_dict={"pk":ID(stored=True),"url":TEXT(stored=True),self.field:TEXT(stored=True, analyzer=self.analyzer)}
self.url=url
self.table=table
#self.schema = Schema(pk=ID(stored=True), desc=TEXT(stored=True, analyzer=self.analyzer), url=TEXT(stored=True)) # 创建索引结构
self.schema = Schema(**self.schema_dict)
self.ix = create_in("path", schema=self.schema, indexname=self.table._meta.model_name) # 创建索引（path 为创建索引的目录，indexname为索引名称）
self.index = open_dir("path", indexname=self.table._meta.model_name) # 读取建立好的索引 def index_building(self):
writer =self.ix.writer() #填充内容
query=self.table.objects.all()
for item in query:
#url='http://172.17.10.112:8001/arya/cmdb/worker_order/see/?id=%s'%(item.pk)
url = self.url%(item.pk)
writer.add_document(pk=str(item.pk),desc=item.desc,url=url) # 此处为添加的内容
writer.commit() def seach(self,key_word):
self.index_building()
ret=[]
with self.index.searcher() as searcher:
parser = QueryParser(self.field,self.schema)
myquery = parser.parse(key_word)
facet = FieldFacet("pk", reverse=False) # 按序排列搜索结果
results = searcher.search(myquery, limit=None,sortedby=facet) # limit为搜索结果的限制，默认为10，详见博客开头的官方文档
for result1 in results:
ret.append(dict(result1))
else:
return ret if __name__ == '__main__':
from cmdb import models
Whoose_seach_interface = Whoose_seach(models.Worker_order, 'desc','http://172.17.10.112:8001/arya/cmdb/worker_order/see/?id=%s')
print(Whoose_seach_interface.seach('张根'))
whoose
from haystack.query import SearchQuerySet
from haystack.inputs import AutoQuery
sqs = SearchQuerySet().filter(desc=AutoQuery('张根'))
for i in sqs:
print(i)
调用haystack的搜素API