mirror of
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* update github.com/alecthomas/chroma v0.8.0 -> v0.8.1 * github.com/blevesearch/bleve v1.0.10 -> v1.0.12 * editorconfig-core-go v2.1.1 -> v2.3.7 * github.com/gliderlabs/ssh v0.2.2 -> v0.3.1 * migrate editorconfig.ParseBytes to Parse * github.com/shurcooL/vfsgen to 0d455de96546 * github.com/go-git/go-git/v5 v5.1.0 -> v5.2.0 * github.com/google/uuid v1.1.1 -> v1.1.2 * github.com/huandu/xstrings v1.3.0 -> v1.3.2 * github.com/klauspost/compress v1.10.11 -> v1.11.1 * github.com/markbates/goth v1.61.2 -> v1.65.0 * github.com/mattn/go-sqlite3 v1.14.0 -> v1.14.4 * github.com/mholt/archiver v3.3.0 -> v3.3.2 * github.com/microcosm-cc/bluemonday 4f7140c49acb -> v1.0.4 * github.com/minio/minio-go v7.0.4 -> v7.0.5 * github.com/olivere/elastic v7.0.9 -> v7.0.20 * github.com/urfave/cli v1.20.0 -> v1.22.4 * github.com/prometheus/client_golang v1.1.0 -> v1.8.0 * github.com/xanzy/go-gitlab v0.37.0 -> v0.38.1 * mvdan.cc/xurls v2.1.0 -> v2.2.0 Co-authored-by: Lauris BH <lauris@nix.lv>
234 lines
5.3 KiB
Go
Vendored
234 lines
5.3 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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// TermSuggester suggests terms based on edit distance.
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// For more details, see
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// https://www.elastic.co/guide/en/elasticsearch/reference/7.0/search-suggesters-term.html.
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type TermSuggester struct {
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Suggester
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name string
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text string
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field string
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analyzer string
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size *int
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shardSize *int
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contextQueries []SuggesterContextQuery
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// fields specific to term suggester
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suggestMode string
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accuracy *float64
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sort string
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stringDistance string
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maxEdits *int
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maxInspections *int
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maxTermFreq *float64
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prefixLength *int
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minWordLength *int
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minDocFreq *float64
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}
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// NewTermSuggester creates a new TermSuggester.
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func NewTermSuggester(name string) *TermSuggester {
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return &TermSuggester{
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name: name,
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}
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}
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func (q *TermSuggester) Name() string {
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return q.name
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}
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func (q *TermSuggester) Text(text string) *TermSuggester {
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q.text = text
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return q
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}
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func (q *TermSuggester) Field(field string) *TermSuggester {
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q.field = field
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return q
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}
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func (q *TermSuggester) Analyzer(analyzer string) *TermSuggester {
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q.analyzer = analyzer
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return q
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}
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func (q *TermSuggester) Size(size int) *TermSuggester {
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q.size = &size
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return q
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}
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func (q *TermSuggester) ShardSize(shardSize int) *TermSuggester {
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q.shardSize = &shardSize
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return q
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}
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func (q *TermSuggester) ContextQuery(query SuggesterContextQuery) *TermSuggester {
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q.contextQueries = append(q.contextQueries, query)
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return q
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}
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func (q *TermSuggester) ContextQueries(queries ...SuggesterContextQuery) *TermSuggester {
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q.contextQueries = append(q.contextQueries, queries...)
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return q
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}
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func (q *TermSuggester) SuggestMode(suggestMode string) *TermSuggester {
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q.suggestMode = suggestMode
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return q
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}
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func (q *TermSuggester) Accuracy(accuracy float64) *TermSuggester {
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q.accuracy = &accuracy
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return q
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}
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func (q *TermSuggester) Sort(sort string) *TermSuggester {
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q.sort = sort
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return q
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}
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func (q *TermSuggester) StringDistance(stringDistance string) *TermSuggester {
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q.stringDistance = stringDistance
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return q
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}
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func (q *TermSuggester) MaxEdits(maxEdits int) *TermSuggester {
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q.maxEdits = &maxEdits
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return q
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}
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func (q *TermSuggester) MaxInspections(maxInspections int) *TermSuggester {
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q.maxInspections = &maxInspections
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return q
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}
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func (q *TermSuggester) MaxTermFreq(maxTermFreq float64) *TermSuggester {
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q.maxTermFreq = &maxTermFreq
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return q
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}
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func (q *TermSuggester) PrefixLength(prefixLength int) *TermSuggester {
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q.prefixLength = &prefixLength
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return q
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}
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func (q *TermSuggester) MinWordLength(minWordLength int) *TermSuggester {
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q.minWordLength = &minWordLength
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return q
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}
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func (q *TermSuggester) MinDocFreq(minDocFreq float64) *TermSuggester {
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q.minDocFreq = &minDocFreq
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return q
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}
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// termSuggesterRequest is necessary because the order in which
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// the JSON elements are routed to Elasticsearch is relevant.
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// We got into trouble when using plain maps because the text element
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// needs to go before the term element.
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type termSuggesterRequest struct {
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Text string `json:"text"`
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Term interface{} `json:"term"`
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}
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// Source generates the source for the term suggester.
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func (q *TermSuggester) Source(includeName bool) (interface{}, error) {
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// "suggest" : {
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// "my-suggest-1" : {
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// "text" : "the amsterdma meetpu",
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// "term" : {
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// "field" : "body"
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// }
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// },
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// "my-suggest-2" : {
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// "text" : "the rottredam meetpu",
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// "term" : {
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// "field" : "title",
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// }
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// }
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// }
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ts := &termSuggesterRequest{}
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if q.text != "" {
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ts.Text = q.text
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}
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suggester := make(map[string]interface{})
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ts.Term = suggester
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if q.analyzer != "" {
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suggester["analyzer"] = q.analyzer
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}
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if q.field != "" {
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suggester["field"] = q.field
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}
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if q.size != nil {
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suggester["size"] = *q.size
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}
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if q.shardSize != nil {
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suggester["shard_size"] = *q.shardSize
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}
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switch len(q.contextQueries) {
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case 0:
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case 1:
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src, err := q.contextQueries[0].Source()
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if err != nil {
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return nil, err
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}
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suggester["contexts"] = src
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default:
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ctxq := make([]interface{}, len(q.contextQueries))
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for i, query := range q.contextQueries {
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src, err := query.Source()
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if err != nil {
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return nil, err
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}
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ctxq[i] = src
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}
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suggester["contexts"] = ctxq
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}
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// Specific to term suggester
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if q.suggestMode != "" {
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suggester["suggest_mode"] = q.suggestMode
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}
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if q.accuracy != nil {
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suggester["accuracy"] = *q.accuracy
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}
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if q.sort != "" {
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suggester["sort"] = q.sort
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}
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if q.stringDistance != "" {
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suggester["string_distance"] = q.stringDistance
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}
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if q.maxEdits != nil {
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suggester["max_edits"] = *q.maxEdits
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}
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if q.maxInspections != nil {
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suggester["max_inspections"] = *q.maxInspections
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}
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if q.maxTermFreq != nil {
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suggester["max_term_freq"] = *q.maxTermFreq
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}
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if q.prefixLength != nil {
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suggester["prefix_length"] = *q.prefixLength
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}
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if q.minWordLength != nil {
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suggester["min_word_length"] = *q.minWordLength
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}
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if q.minDocFreq != nil {
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suggester["min_doc_freq"] = *q.minDocFreq
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}
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if !includeName {
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return ts, nil
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}
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source := make(map[string]interface{})
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source[q.name] = ts
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return source, nil
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}
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