mirror of
				https://gitee.com/gitea/gitea
				synced 2025-11-04 08:30:25 +08:00 
			
		
		
		
	* Improve issue indexer * Fix new issue sqlite bug * Different test indexer paths for each db * Add integration indexer paths to make clean
		
			
				
	
	
		
			78 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Go
		
	
	
	
	
	
			
		
		
	
	
			78 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Go
		
	
	
	
	
	
//  Copyright (c) 2014 Couchbase, Inc.
 | 
						|
//
 | 
						|
// Licensed under the Apache License, Version 2.0 (the "License");
 | 
						|
// you may not use this file except in compliance with the License.
 | 
						|
// You may obtain a copy of the License at
 | 
						|
//
 | 
						|
// 		http://www.apache.org/licenses/LICENSE-2.0
 | 
						|
//
 | 
						|
// Unless required by applicable law or agreed to in writing, software
 | 
						|
// distributed under the License is distributed on an "AS IS" BASIS,
 | 
						|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 | 
						|
// See the License for the specific language governing permissions and
 | 
						|
// limitations under the License.
 | 
						|
 | 
						|
package query
 | 
						|
 | 
						|
import (
 | 
						|
	"github.com/blevesearch/bleve/index"
 | 
						|
	"github.com/blevesearch/bleve/mapping"
 | 
						|
	"github.com/blevesearch/bleve/search"
 | 
						|
	"github.com/blevesearch/bleve/search/searcher"
 | 
						|
)
 | 
						|
 | 
						|
type FuzzyQuery struct {
 | 
						|
	Term      string `json:"term"`
 | 
						|
	Prefix    int    `json:"prefix_length"`
 | 
						|
	Fuzziness int    `json:"fuzziness"`
 | 
						|
	FieldVal  string `json:"field,omitempty"`
 | 
						|
	BoostVal  *Boost `json:"boost,omitempty"`
 | 
						|
}
 | 
						|
 | 
						|
// NewFuzzyQuery creates a new Query which finds
 | 
						|
// documents containing terms within a specific
 | 
						|
// fuzziness of the specified term.
 | 
						|
// The default fuzziness is 1.
 | 
						|
//
 | 
						|
// The current implementation uses Levenshtein edit
 | 
						|
// distance as the fuzziness metric.
 | 
						|
func NewFuzzyQuery(term string) *FuzzyQuery {
 | 
						|
	return &FuzzyQuery{
 | 
						|
		Term:      term,
 | 
						|
		Fuzziness: 1,
 | 
						|
	}
 | 
						|
}
 | 
						|
 | 
						|
func (q *FuzzyQuery) SetBoost(b float64) {
 | 
						|
	boost := Boost(b)
 | 
						|
	q.BoostVal = &boost
 | 
						|
}
 | 
						|
 | 
						|
func (q *FuzzyQuery) Boost() float64 {
 | 
						|
	return q.BoostVal.Value()
 | 
						|
}
 | 
						|
 | 
						|
func (q *FuzzyQuery) SetField(f string) {
 | 
						|
	q.FieldVal = f
 | 
						|
}
 | 
						|
 | 
						|
func (q *FuzzyQuery) Field() string {
 | 
						|
	return q.FieldVal
 | 
						|
}
 | 
						|
 | 
						|
func (q *FuzzyQuery) SetFuzziness(f int) {
 | 
						|
	q.Fuzziness = f
 | 
						|
}
 | 
						|
 | 
						|
func (q *FuzzyQuery) SetPrefix(p int) {
 | 
						|
	q.Prefix = p
 | 
						|
}
 | 
						|
 | 
						|
func (q *FuzzyQuery) Searcher(i index.IndexReader, m mapping.IndexMapping, options search.SearcherOptions) (search.Searcher, error) {
 | 
						|
	field := q.FieldVal
 | 
						|
	if q.FieldVal == "" {
 | 
						|
		field = m.DefaultSearchField()
 | 
						|
	}
 | 
						|
	return searcher.NewFuzzySearcher(i, q.Term, q.Prefix, q.Fuzziness, field, q.BoostVal.Value(), options)
 | 
						|
}
 |