8096d9fb90
this originated from a misunderstanding of mine going back several years. the values need not be float64 just because we plan to serialize them as json. there are still larger questions about what the right type should be, and where should any conversions go. but, this commit simply attempts to address the most egregious problems
150 lines
4.4 KiB
Go
150 lines
4.4 KiB
Go
// Copyright (c) 2014 Couchbase, Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package search
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import (
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"fmt"
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"github.com/blevesearch/bleve/document"
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"github.com/blevesearch/bleve/index"
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)
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type ArrayPositions []uint64
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func (ap ArrayPositions) Equals(other ArrayPositions) bool {
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if len(ap) != len(other) {
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return false
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}
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for i := range ap {
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if ap[i] != other[i] {
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return false
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}
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}
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return true
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}
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type Location struct {
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Pos uint64 `json:"pos"`
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Start uint64 `json:"start"`
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End uint64 `json:"end"`
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ArrayPositions ArrayPositions `json:"array_positions"`
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}
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type Locations []*Location
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type TermLocationMap map[string]Locations
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func (t TermLocationMap) AddLocation(term string, location *Location) {
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t[term] = append(t[term], location)
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}
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type FieldTermLocationMap map[string]TermLocationMap
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type FieldFragmentMap map[string][]string
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type DocumentMatch struct {
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Index string `json:"index,omitempty"`
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ID string `json:"id"`
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IndexInternalID index.IndexInternalID `json:"-"`
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Score float64 `json:"score"`
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Expl *Explanation `json:"explanation,omitempty"`
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Locations FieldTermLocationMap `json:"locations,omitempty"`
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Fragments FieldFragmentMap `json:"fragments,omitempty"`
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Sort []string `json:"sort,omitempty"`
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// Fields contains the values for document fields listed in
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// SearchRequest.Fields. Text fields are returned as strings, numeric
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// fields as float64s and date fields as time.RFC3339 formatted strings.
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Fields map[string]interface{} `json:"fields,omitempty"`
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// as we learn field terms, we can cache important ones for later use
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// for example, sorting and building facets need these values
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CachedFieldTerms index.FieldTerms `json:"-"`
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// if we load the document for this hit, remember it so we dont load again
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Document *document.Document `json:"-"`
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// used to maintain natural index order
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HitNumber uint64 `json:"-"`
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}
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func (dm *DocumentMatch) AddFieldValue(name string, value interface{}) {
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if dm.Fields == nil {
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dm.Fields = make(map[string]interface{})
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}
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existingVal, ok := dm.Fields[name]
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if !ok {
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dm.Fields[name] = value
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return
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}
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valSlice, ok := existingVal.([]interface{})
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if ok {
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// already a slice, append to it
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valSlice = append(valSlice, value)
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} else {
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// create a slice
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valSlice = []interface{}{existingVal, value}
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}
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dm.Fields[name] = valSlice
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}
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// Reset allows an already allocated DocumentMatch to be reused
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func (dm *DocumentMatch) Reset() *DocumentMatch {
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// remember the []byte used for the IndexInternalID
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indexInternalID := dm.IndexInternalID
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// remember the []interface{} used for sort
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sort := dm.Sort
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// idiom to copy over from empty DocumentMatch (0 allocations)
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*dm = DocumentMatch{}
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// reuse the []byte already allocated (and reset len to 0)
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dm.IndexInternalID = indexInternalID[:0]
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// reuse the []interface{} already allocated (and reset len to 0)
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dm.Sort = sort[:0]
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return dm
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}
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func (dm *DocumentMatch) String() string {
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return fmt.Sprintf("[%s-%f]", string(dm.IndexInternalID), dm.Score)
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}
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type DocumentMatchCollection []*DocumentMatch
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func (c DocumentMatchCollection) Len() int { return len(c) }
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func (c DocumentMatchCollection) Swap(i, j int) { c[i], c[j] = c[j], c[i] }
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func (c DocumentMatchCollection) Less(i, j int) bool { return c[i].Score > c[j].Score }
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type Searcher interface {
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Next(ctx *SearchContext) (*DocumentMatch, error)
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Advance(ctx *SearchContext, ID index.IndexInternalID) (*DocumentMatch, error)
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Close() error
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Weight() float64
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SetQueryNorm(float64)
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Count() uint64
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Min() int
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DocumentMatchPoolSize() int
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}
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type SearcherOptions struct {
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Explain bool
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IncludeTermVectors bool
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}
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// SearchContext represents the context around a single search
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type SearchContext struct {
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DocumentMatchPool *DocumentMatchPool
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}
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