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* Issue search support elasticsearch * Fix lint * Add indexer name on app.ini * add a warnning on SearchIssuesByKeyword * improve code
142 lines
3.8 KiB
Go
Vendored
142 lines
3.8 KiB
Go
Vendored
// Copyright 2012-present Oliver Eilhard. All rights reserved.
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// Use of this source code is governed by a MIT-license.
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// See http://olivere.mit-license.org/license.txt for details.
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package elastic
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// CommonTermsQuery is a modern alternative to stopwords
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// which improves the precision and recall of search results
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// (by taking stopwords into account), without sacrificing performance.
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// For more details, see:
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// https://www.elastic.co/guide/en/elasticsearch/reference/7.4/query-dsl-common-terms-query.html
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//
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// Deprecated: Use Match query instead (7.3.0+), which skips blocks of
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// documents efficiently, without any configuration, provided that the
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// total number of hits is not tracked.
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type CommonTermsQuery struct {
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Query
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name string
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text interface{}
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cutoffFreq *float64
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highFreq *float64
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highFreqOp string
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highFreqMinimumShouldMatch string
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lowFreq *float64
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lowFreqOp string
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lowFreqMinimumShouldMatch string
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analyzer string
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boost *float64
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queryName string
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}
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// NewCommonTermsQuery creates and initializes a new common terms query.
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func NewCommonTermsQuery(name string, text interface{}) *CommonTermsQuery {
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return &CommonTermsQuery{name: name, text: text}
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}
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func (q *CommonTermsQuery) CutoffFrequency(f float64) *CommonTermsQuery {
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q.cutoffFreq = &f
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return q
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}
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func (q *CommonTermsQuery) HighFreq(f float64) *CommonTermsQuery {
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q.highFreq = &f
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return q
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}
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func (q *CommonTermsQuery) HighFreqOperator(op string) *CommonTermsQuery {
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q.highFreqOp = op
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return q
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}
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func (q *CommonTermsQuery) HighFreqMinimumShouldMatch(minShouldMatch string) *CommonTermsQuery {
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q.highFreqMinimumShouldMatch = minShouldMatch
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return q
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}
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func (q *CommonTermsQuery) LowFreq(f float64) *CommonTermsQuery {
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q.lowFreq = &f
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return q
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}
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func (q *CommonTermsQuery) LowFreqOperator(op string) *CommonTermsQuery {
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q.lowFreqOp = op
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return q
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}
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func (q *CommonTermsQuery) LowFreqMinimumShouldMatch(minShouldMatch string) *CommonTermsQuery {
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q.lowFreqMinimumShouldMatch = minShouldMatch
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return q
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}
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func (q *CommonTermsQuery) Analyzer(analyzer string) *CommonTermsQuery {
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q.analyzer = analyzer
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return q
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}
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func (q *CommonTermsQuery) Boost(boost float64) *CommonTermsQuery {
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q.boost = &boost
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return q
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}
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func (q *CommonTermsQuery) QueryName(queryName string) *CommonTermsQuery {
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q.queryName = queryName
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return q
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}
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// Creates the query source for the common query.
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func (q *CommonTermsQuery) Source() (interface{}, error) {
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// {
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// "common": {
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// "body": {
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// "query": "this is bonsai cool",
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// "cutoff_frequency": 0.001
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// }
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// }
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// }
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source := make(map[string]interface{})
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body := make(map[string]interface{})
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query := make(map[string]interface{})
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source["common"] = body
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body[q.name] = query
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query["query"] = q.text
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if q.cutoffFreq != nil {
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query["cutoff_frequency"] = *q.cutoffFreq
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}
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if q.highFreq != nil {
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query["high_freq"] = *q.highFreq
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}
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if q.highFreqOp != "" {
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query["high_freq_operator"] = q.highFreqOp
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}
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if q.lowFreq != nil {
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query["low_freq"] = *q.lowFreq
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}
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if q.lowFreqOp != "" {
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query["low_freq_operator"] = q.lowFreqOp
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}
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if q.lowFreqMinimumShouldMatch != "" || q.highFreqMinimumShouldMatch != "" {
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mm := make(map[string]interface{})
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if q.lowFreqMinimumShouldMatch != "" {
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mm["low_freq"] = q.lowFreqMinimumShouldMatch
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}
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if q.highFreqMinimumShouldMatch != "" {
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mm["high_freq"] = q.highFreqMinimumShouldMatch
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}
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query["minimum_should_match"] = mm
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}
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if q.analyzer != "" {
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query["analyzer"] = q.analyzer
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}
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if q.boost != nil {
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query["boost"] = *q.boost
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}
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if q.queryName != "" {
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query["_name"] = q.queryName
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}
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return source, nil
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}
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