我在 MongoDB 中建立了一个大型银行数据库。我可以轻松地获取这些信息并用它创建索引。例如,我希望能够匹配银行名称“Eagle Bank & Trust Co of Missouri”和“Eagle Bank and Trust Company of Missouri”。以下代码适用于简单的模糊等,但无法实现上述匹配:
from whoosh.index import create_in
from whoosh.fields import *
schema = Schema(name=TEXT(stored=True))
ix = create_in("indexdir", schema)
writer = ix.writer()
test_items = [u"Eagle Bank and Trust Company of Missouri"]
writer.add_document(name=item)
writer.commit()
from whoosh.qparser import QueryParser
from whoosh.query import FuzzyTerm
with ix.searcher() as s:
qp = QueryParser("name", schema=ix.schema, termclass=FuzzyTerm)
q = qp.parse(u"Eagle Bank & Trust Co of Missouri")
results = s.search(q)
print results
给我:
<Top 0 Results for And([FuzzyTerm('name', u'eagle', boost=1.000000, minsimilarity=0.500000, prefixlength=1), FuzzyTerm('name', u'bank', boost=1.000000, minsimilarity=0.500000, prefixlength=1), FuzzyTerm('name', u'trust', boost=1.000000, minsimilarity=0.500000, prefixlength=1), FuzzyTerm('name', u'co', boost=1.000000, minsimilarity=0.500000, prefixlength=1), FuzzyTerm('name', u'missouri', boost=1.000000, minsimilarity=0.500000, prefixlength=1)]) runtime=0.00166392326355>
Whoosh可以实现我想要的吗?如果不是,我还有什么其他基于 python 的解决方案?