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query.go
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query.go
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package search
import (
"gopkg.in/olivere/elastic.v6"
"github.com/Bnei-Baruch/archive-backend/consts"
"github.com/Bnei-Baruch/archive-backend/es"
"github.com/Bnei-Baruch/archive-backend/utils"
)
const (
// Content boost.
TITLE_BOOST = 2.0
DESCRIPTION_BOOST = 1.2
// Max slop.
SLOP = 100
// Following two boosts may be agregated.
// Boost for standard anylyzer, i.e., without stemming.
STANDARD_BOOST = 1.2
// Boost for exact phrase match, without slop.
EXACT_BOOST = 1.5
NUM_SUGGESTS = 500
)
func createResultsQuery(resultTypes []string, q Query, docIds []string) elastic.Query {
boolQuery := elastic.NewBoolQuery().Must(
elastic.NewConstantScoreQuery(
elastic.NewTermsQuery("result_type", utils.ConvertArgsString(resultTypes)...),
).Boost(0.0),
)
if docIds != nil && len(docIds) > 0 {
idsQuery := elastic.NewIdsQuery().Ids(docIds...)
boolQuery.Filter(idsQuery)
}
if q.Term != "" {
boolQuery = boolQuery.Must(
// Don't calculate score here, as we use sloped score below.
elastic.NewConstantScoreQuery(
elastic.NewBoolQuery().Should(
elastic.NewMatchQuery("title.language", q.Term),
elastic.NewMatchQuery("description.language", q.Term),
elastic.NewMatchQuery("content.language", q.Term),
).MinimumNumberShouldMatch(1),
).Boost(0.0),
).Should(
elastic.NewDisMaxQuery().Query(
// Language analyzed
elastic.NewMatchPhraseQuery("title.language", q.Term).Slop(SLOP).Boost(TITLE_BOOST),
elastic.NewMatchPhraseQuery("description.language", q.Term).Slop(SLOP).Boost(DESCRIPTION_BOOST),
elastic.NewMatchPhraseQuery("content.language", q.Term).Slop(SLOP),
// Language analyzed, exact (no slop)
elastic.NewMatchPhraseQuery("title.language", q.Term).Boost(EXACT_BOOST*TITLE_BOOST),
elastic.NewMatchPhraseQuery("description.language", q.Term).Boost(EXACT_BOOST*DESCRIPTION_BOOST),
elastic.NewMatchPhraseQuery("content.language", q.Term).Boost(EXACT_BOOST),
// Standard analyzed
elastic.NewMatchPhraseQuery("title", q.Term).Slop(SLOP).Boost(STANDARD_BOOST*TITLE_BOOST),
elastic.NewMatchPhraseQuery("description", q.Term).Slop(SLOP).Boost(STANDARD_BOOST*DESCRIPTION_BOOST),
elastic.NewMatchPhraseQuery("content", q.Term).Slop(SLOP).Boost(STANDARD_BOOST),
// Standard analyzed, exact (no slop).
elastic.NewMatchPhraseQuery("title", q.Term).Boost(STANDARD_BOOST*EXACT_BOOST*TITLE_BOOST),
elastic.NewMatchPhraseQuery("description", q.Term).Boost(STANDARD_BOOST*EXACT_BOOST*DESCRIPTION_BOOST),
elastic.NewMatchPhraseQuery("content", q.Term).Boost(STANDARD_BOOST*EXACT_BOOST),
),
)
}
for _, exactTerm := range q.ExactTerms {
boolQuery = boolQuery.Must(
// Don't calculate score here, as we use sloped score below.
elastic.NewConstantScoreQuery(
elastic.NewBoolQuery().Should(
elastic.NewMatchPhraseQuery("title", exactTerm),
elastic.NewMatchPhraseQuery("description", exactTerm),
elastic.NewMatchPhraseQuery("content", exactTerm),
).MinimumNumberShouldMatch(1),
).Boost(0.0),
).Should(
elastic.NewDisMaxQuery().Query(
// Language analyzed, exact (no slop)
elastic.NewMatchPhraseQuery("title.language", exactTerm).Boost(EXACT_BOOST*TITLE_BOOST),
elastic.NewMatchPhraseQuery("description.language", exactTerm).Boost(EXACT_BOOST*DESCRIPTION_BOOST),
elastic.NewMatchPhraseQuery("content.language", exactTerm).Boost(EXACT_BOOST),
// Standard analyzed, exact (no slop).
elastic.NewMatchPhraseQuery("title", exactTerm).Boost(STANDARD_BOOST*EXACT_BOOST*TITLE_BOOST),
elastic.NewMatchPhraseQuery("description", exactTerm).Boost(STANDARD_BOOST*EXACT_BOOST*DESCRIPTION_BOOST),
elastic.NewMatchPhraseQuery("content", exactTerm).Boost(STANDARD_BOOST*EXACT_BOOST),
),
)
}
contentTypeQuery := elastic.NewBoolQuery().MinimumNumberShouldMatch(1)
filterByContentType := false
for filter, values := range q.Filters {
s := make([]string, len(values))
for i, v := range values {
s[i] = v
}
switch filter {
case consts.FILTERS[consts.FILTER_START_DATE]:
boolQuery.Filter(elastic.NewRangeQuery("effective_date").Gte(values[0]).Format("yyyy-MM-dd"))
case consts.FILTERS[consts.FILTER_END_DATE]:
boolQuery.Filter(elastic.NewRangeQuery("effective_date").Lte(values[0]).Format("yyyy-MM-dd"))
case consts.FILTERS[consts.FILTER_UNITS_CONTENT_TYPES], consts.FILTERS[consts.FILTER_COLLECTIONS_CONTENT_TYPES]:
contentTypeQuery.Should(elastic.NewTermsQuery("filter_values", es.KeyIValues(filter, s)...))
filterByContentType = true
case consts.FILTERS[consts.FILTER_SECTION_SOURCES]:
boolQuery.Filter(elastic.NewTermsQuery("result_type", consts.ES_RESULT_TYPE_SOURCES))
default:
boolQuery.Filter(elastic.NewTermsQuery("filter_values", es.KeyIValues(filter, s)...))
}
if filterByContentType {
boolQuery.Filter(contentTypeQuery)
}
}
var query elastic.Query
query = boolQuery
if q.Term == "" && len(q.ExactTerms) == 0 {
// No potential score from string matching.
query = elastic.NewConstantScoreQuery(boolQuery).Boost(1.0)
}
scoreQuery := elastic.NewFunctionScoreQuery().ScoreMode("first")
for _, resultType := range resultTypes {
weight := 1.0
if resultType == consts.ES_RESULT_TYPE_UNITS {
weight = 1.0
} else if resultType == consts.ES_RESULT_TYPE_TAGS {
weight = 1.5 // We use tags for intents only, score should be same as for sources.
} else if resultType == consts.ES_RESULT_TYPE_SOURCES {
weight = 1.5
} else if resultType == consts.ES_RESULT_TYPE_COLLECTIONS {
weight = 2.0
}
scoreQuery.Add(elastic.NewTermsQuery("result_type", resultType), elastic.NewWeightFactorFunction(weight))
}
return elastic.NewFunctionScoreQuery().Query(scoreQuery.Query(query)).ScoreMode("sum").MaxBoost(100.0).
AddScoreFunc(elastic.NewWeightFactorFunction(2.0)).
AddScoreFunc(elastic.NewGaussDecayFunction().FieldName("effective_date").Decay(0.6).Scale("2000d"))
}
func NewResultsSearchRequest(options SearchRequestOptions) *elastic.SearchRequest {
fetchSourceContext := elastic.NewFetchSourceContext(true).Include("mdb_uid", "result_type", "title")
source := elastic.NewSearchSource().
Query(createResultsQuery(options.resultTypes, options.query, options.docIds)).
FetchSourceContext(fetchSourceContext).
From(options.from).
Size(options.size).
Explain(options.query.Deb)
if options.useHighlight {
highlightQuery := elastic.NewHighlight().Fields(
elastic.NewHighlighterField("title").NumOfFragments(0),
elastic.NewHighlighterField("description"),
elastic.NewHighlighterField("content"),
elastic.NewHighlighterField("description.language"),
elastic.NewHighlighterField("content.language"))
if !options.partialHighlight {
// Following field not used in intents to solve elastic bug with highlight.
highlightQuery.Fields(
elastic.NewHighlighterField("title.language").NumOfFragments(0))
}
source = source.Highlight(highlightQuery)
}
switch options.sortBy {
case consts.SORT_BY_OLDER_TO_NEWER:
source = source.Sort("effective_date", true)
case consts.SORT_BY_NEWER_TO_OLDER:
source = source.Sort("effective_date", false)
}
return elastic.NewSearchRequest().
SearchSource(source).
Index(options.index).
Preference(options.preference)
}
func NewResultsSearchRequests(options SearchRequestOptions) []*elastic.SearchRequest {
requests := make([]*elastic.SearchRequest, 0)
indices := make([]string, len(options.query.LanguageOrder))
for i := range options.query.LanguageOrder {
indices[i] = es.IndexAliasName("prod", consts.ES_RESULTS_INDEX, options.query.LanguageOrder[i])
}
for _, index := range indices {
options.index = index
request := NewResultsSearchRequest(options)
requests = append(requests, request)
}
return requests
}
func NewResultsSuggestRequest(resultTypes []string, index string, query Query, preference string) *elastic.SearchRequest {
fetchSourceContext := elastic.NewFetchSourceContext(true).Include("mdb_uid", "result_type", "title")
searchSource := elastic.NewSearchSource().
FetchSourceContext(fetchSourceContext).
Suggester(
elastic.NewCompletionSuggester("title_suggest").
Field("title_suggest").
Text(query.Term).
ContextQuery(elastic.NewSuggesterCategoryQuery("result_type", resultTypes...)).
Size(NUM_SUGGESTS),
)
return elastic.NewSearchRequest().
SearchSource(searchSource).
Index(index).
Preference(preference)
}
func NewResultsSuggestRequests(resultTypes []string, query Query, preference string) []*elastic.SearchRequest {
requests := make([]*elastic.SearchRequest, 0)
indices := make([]string, len(query.LanguageOrder))
for i := range query.LanguageOrder {
indices[i] = es.IndexAliasName("prod", consts.ES_RESULTS_INDEX, query.LanguageOrder[i])
}
for _, index := range indices {
request := NewResultsSuggestRequest(resultTypes, index, query, preference)
requests = append(requests, request)
}
return requests
}