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// 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 search
import (
"fmt"
"github.com/blevesearch/bleve/document"
"github.com/blevesearch/bleve/index"
)
type Location struct {
Pos float64 `json:"pos"`
Start float64 `json:"start"`
End float64 `json:"end"`
ArrayPositions []float64 `json:"array_positions"`
}
// SameArrayElement returns true if two locations are point to
// the same array element
func (l *Location) SameArrayElement(other *Location) bool {
if len(l.ArrayPositions) != len(other.ArrayPositions) {
return false
}
for i, elem := range l.ArrayPositions {
if other.ArrayPositions[i] != elem {
return false
}
}
return true
}
type Locations []*Location
type TermLocationMap map[string]Locations
func (t TermLocationMap) AddLocation(term string, location *Location) {
t[term] = append(t[term], location)
}
type FieldTermLocationMap map[string]TermLocationMap
type FieldFragmentMap map[string][]string
type DocumentMatch struct {
Index string `json:"index,omitempty"`
ID string `json:"id"`
IndexInternalID index.IndexInternalID `json:"-"`
Score float64 `json:"score"`
Expl *Explanation `json:"explanation,omitempty"`
Locations FieldTermLocationMap `json:"locations,omitempty"`
Fragments FieldFragmentMap `json:"fragments,omitempty"`
Sort []string `json:"sort,omitempty"`
// Fields contains the values for document fields listed in
// SearchRequest.Fields. Text fields are returned as strings, numeric
// fields as float64s and date fields as time.RFC3339 formatted strings.
Fields map[string]interface{} `json:"fields,omitempty"`
// as we learn field terms, we can cache important ones for later use
// for example, sorting and building facets need these values
CachedFieldTerms index.FieldTerms `json:"-"`
// if we load the document for this hit, remember it so we dont load again
Document *document.Document `json:"-"`
// used to maintain natural index order
HitNumber uint64 `json:"-"`
}
func (dm *DocumentMatch) AddFieldValue(name string, value interface{}) {
if dm.Fields == nil {
dm.Fields = make(map[string]interface{})
}
existingVal, ok := dm.Fields[name]
if !ok {
dm.Fields[name] = value
return
}
valSlice, ok := existingVal.([]interface{})
if ok {
// already a slice, append to it
valSlice = append(valSlice, value)
} else {
// create a slice
valSlice = []interface{}{existingVal, value}
}
dm.Fields[name] = valSlice
}
// Reset allows an already allocated DocumentMatch to be reused
func (dm *DocumentMatch) Reset() *DocumentMatch {
// remember the []byte used for the IndexInternalID
indexInternalID := dm.IndexInternalID
// remember the []interface{} used for sort
sort := dm.Sort
// idiom to copy over from empty DocumentMatch (0 allocations)
*dm = DocumentMatch{}
// reuse the []byte already allocated (and reset len to 0)
dm.IndexInternalID = indexInternalID[:0]
// reuse the []interface{} already allocated (and reset len to 0)
dm.Sort = sort[:0]
return dm
}
func (dm *DocumentMatch) String() string {
return fmt.Sprintf("[%s-%f]", string(dm.IndexInternalID), dm.Score)
}
type DocumentMatchCollection []*DocumentMatch
func (c DocumentMatchCollection) Len() int { return len(c) }
func (c DocumentMatchCollection) Swap(i, j int) { c[i], c[j] = c[j], c[i] }
func (c DocumentMatchCollection) Less(i, j int) bool { return c[i].Score > c[j].Score }
type Searcher interface {
Next(ctx *SearchContext) (*DocumentMatch, error)
Advance(ctx *SearchContext, ID index.IndexInternalID) (*DocumentMatch, error)
Close() error
Weight() float64
SetQueryNorm(float64)
Count() uint64
Min() int
DocumentMatchPoolSize() int
}
// SearchContext represents the context around a single search
type SearchContext struct {
DocumentMatchPool *DocumentMatchPool
}
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