209 lines
6.6 KiB
Go
209 lines
6.6 KiB
Go
// Copyright (c) 2023 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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//go:build !vectors
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// +build !vectors
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package bleve
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import (
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"context"
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"encoding/json"
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"sort"
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"github.com/blevesearch/bleve/v2/search"
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"github.com/blevesearch/bleve/v2/search/collector"
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"github.com/blevesearch/bleve/v2/search/query"
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index "github.com/blevesearch/bleve_index_api"
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)
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const supportForVectorSearch = false
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// A SearchRequest describes all the parameters
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// needed to search the index.
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// Query is required.
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// Size/From describe how much and which part of the
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// result set to return.
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// Highlight describes optional search result
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// highlighting.
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// Fields describes a list of field values which
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// should be retrieved for result documents, provided they
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// were stored while indexing.
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// Facets describe the set of facets to be computed.
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// Explain triggers inclusion of additional search
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// result score explanations.
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// Sort describes the desired order for the results to be returned.
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// Score controls the kind of scoring performed
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// SearchAfter supports deep paging by providing a minimum sort key
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// SearchBefore supports deep paging by providing a maximum sort key
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// sortFunc specifies the sort implementation to use for sorting results.
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//
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// A special field named "*" can be used to return all fields.
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type SearchRequest struct {
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ClientContextID string `json:"client_context_id,omitempty"`
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Query query.Query `json:"query"`
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Size int `json:"size"`
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From int `json:"from"`
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Highlight *HighlightRequest `json:"highlight"`
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Fields []string `json:"fields"`
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Facets FacetsRequest `json:"facets"`
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Explain bool `json:"explain"`
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Sort search.SortOrder `json:"sort"`
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IncludeLocations bool `json:"includeLocations"`
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Score string `json:"score,omitempty"`
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SearchAfter []string `json:"search_after"`
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SearchBefore []string `json:"search_before"`
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// PreSearchData will be a map that will be used
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// in the second phase of any 2-phase search, to provide additional
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// context to the second phase. This is useful in the case of index
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// aliases where the first phase will gather the PreSearchData from all
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// the indexes in the alias, and the second phase will use that
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// PreSearchData to perform the actual search.
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// The currently accepted map configuration is:
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//
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// "_knn_pre_search_data_key": []*search.DocumentMatch
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PreSearchData map[string]interface{} `json:"pre_search_data,omitempty"`
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sortFunc func(sort.Interface)
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}
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// UnmarshalJSON deserializes a JSON representation of
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// a SearchRequest
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func (r *SearchRequest) UnmarshalJSON(input []byte) error {
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var temp struct {
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Q json.RawMessage `json:"query"`
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Size *int `json:"size"`
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From int `json:"from"`
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Highlight *HighlightRequest `json:"highlight"`
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Fields []string `json:"fields"`
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Facets FacetsRequest `json:"facets"`
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Explain bool `json:"explain"`
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Sort []json.RawMessage `json:"sort"`
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IncludeLocations bool `json:"includeLocations"`
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Score string `json:"score"`
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SearchAfter []string `json:"search_after"`
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SearchBefore []string `json:"search_before"`
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PreSearchData json.RawMessage `json:"pre_search_data"`
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}
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err := json.Unmarshal(input, &temp)
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if err != nil {
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return err
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}
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if temp.Size == nil {
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r.Size = 10
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} else {
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r.Size = *temp.Size
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}
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if temp.Sort == nil {
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r.Sort = search.SortOrder{&search.SortScore{Desc: true}}
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} else {
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r.Sort, err = search.ParseSortOrderJSON(temp.Sort)
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if err != nil {
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return err
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}
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}
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r.From = temp.From
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r.Explain = temp.Explain
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r.Highlight = temp.Highlight
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r.Fields = temp.Fields
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r.Facets = temp.Facets
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r.IncludeLocations = temp.IncludeLocations
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r.Score = temp.Score
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r.SearchAfter = temp.SearchAfter
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r.SearchBefore = temp.SearchBefore
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r.Query, err = query.ParseQuery(temp.Q)
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if err != nil {
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return err
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}
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if r.Size < 0 {
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r.Size = 10
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}
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if r.From < 0 {
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r.From = 0
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}
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if temp.PreSearchData != nil {
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r.PreSearchData, err = query.ParsePreSearchData(temp.PreSearchData)
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if err != nil {
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return err
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}
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}
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return nil
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}
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// -----------------------------------------------------------------------------
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func copySearchRequest(req *SearchRequest, preSearchData map[string]interface{}) *SearchRequest {
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rv := SearchRequest{
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Query: req.Query,
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Size: req.Size + req.From,
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From: 0,
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Highlight: req.Highlight,
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Fields: req.Fields,
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Facets: req.Facets,
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Explain: req.Explain,
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Sort: req.Sort.Copy(),
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IncludeLocations: req.IncludeLocations,
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Score: req.Score,
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SearchAfter: req.SearchAfter,
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SearchBefore: req.SearchBefore,
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PreSearchData: preSearchData,
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}
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return &rv
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}
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func validateKNN(req *SearchRequest) error {
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return nil
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}
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func (i *indexImpl) runKnnCollector(ctx context.Context, req *SearchRequest, reader index.IndexReader, preSearch bool) ([]*search.DocumentMatch, error) {
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return nil, nil
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}
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func setKnnHitsInCollector(knnHits []*search.DocumentMatch, req *SearchRequest, coll *collector.TopNCollector) {
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}
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func requestHasKNN(req *SearchRequest) bool {
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return false
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}
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func addKnnToDummyRequest(dummyReq *SearchRequest, realReq *SearchRequest) {
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}
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func validateAndDistributeKNNHits(knnHits []*search.DocumentMatch, indexes []Index) (map[string][]*search.DocumentMatch, error) {
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return nil, nil
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}
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func isKNNrequestSatisfiedByPreSearch(req *SearchRequest) bool {
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return false
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}
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func constructKnnPreSearchData(mergedOut map[string]map[string]interface{}, preSearchResult *SearchResult,
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indexes []Index) (map[string]map[string]interface{}, error) {
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return mergedOut, nil
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}
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func finalizeKNNResults(req *SearchRequest, knnHits []*search.DocumentMatch) []*search.DocumentMatch {
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return knnHits
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}
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func newKnnPreSearchResultProcessor(req *SearchRequest) *knnPreSearchResultProcessor {
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return &knnPreSearchResultProcessor{} // equivalent to nil
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}
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