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'))
from haystack.query import SearchQuerySet from haystack.inputs import AutoQuery sqs = SearchQuerySet().filter(desc=AutoQuery('张根')) for i in sqs: print(i)