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// Copyright 2012-present Oliver Eilhard. All rights reserved.
// Use of this source code is governed by a MIT-license.
// See http://olivere.mit-license.org/license.txt for details.
package elastic
// TermSuggester suggests terms based on edit distance.
// For more details, see
// https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-suggesters-term.html.
type TermSuggester struct {
Suggester
name string
text string
field string
analyzer string
size *int
shardSize *int
contextQueries []SuggesterContextQuery
// fields specific to term suggester
suggestMode string
accuracy *float64
sort string
stringDistance string
maxEdits *int
maxInspections *int
maxTermFreq *float64
prefixLength *int
minWordLength *int
minDocFreq *float64
}
// NewTermSuggester creates a new TermSuggester.
func NewTermSuggester(name string) *TermSuggester {
return &TermSuggester{
name: name,
}
}
func (q *TermSuggester) Name() string {
return q.name
}
func (q *TermSuggester) Text(text string) *TermSuggester {
q.text = text
return q
}
func (q *TermSuggester) Field(field string) *TermSuggester {
q.field = field
return q
}
func (q *TermSuggester) Analyzer(analyzer string) *TermSuggester {
q.analyzer = analyzer
return q
}
func (q *TermSuggester) Size(size int) *TermSuggester {
q.size = &size
return q
}
func (q *TermSuggester) ShardSize(shardSize int) *TermSuggester {
q.shardSize = &shardSize
return q
}
func (q *TermSuggester) ContextQuery(query SuggesterContextQuery) *TermSuggester {
q.contextQueries = append(q.contextQueries, query)
return q
}
func (q *TermSuggester) ContextQueries(queries ...SuggesterContextQuery) *TermSuggester {
q.contextQueries = append(q.contextQueries, queries...)
return q
}
func (q *TermSuggester) SuggestMode(suggestMode string) *TermSuggester {
q.suggestMode = suggestMode
return q
}
func (q *TermSuggester) Accuracy(accuracy float64) *TermSuggester {
q.accuracy = &accuracy
return q
}
func (q *TermSuggester) Sort(sort string) *TermSuggester {
q.sort = sort
return q
}
func (q *TermSuggester) StringDistance(stringDistance string) *TermSuggester {
q.stringDistance = stringDistance
return q
}
func (q *TermSuggester) MaxEdits(maxEdits int) *TermSuggester {
q.maxEdits = &maxEdits
return q
}
func (q *TermSuggester) MaxInspections(maxInspections int) *TermSuggester {
q.maxInspections = &maxInspections
return q
}
func (q *TermSuggester) MaxTermFreq(maxTermFreq float64) *TermSuggester {
q.maxTermFreq = &maxTermFreq
return q
}
func (q *TermSuggester) PrefixLength(prefixLength int) *TermSuggester {
q.prefixLength = &prefixLength
return q
}
func (q *TermSuggester) MinWordLength(minWordLength int) *TermSuggester {
q.minWordLength = &minWordLength
return q
}
func (q *TermSuggester) MinDocFreq(minDocFreq float64) *TermSuggester {
q.minDocFreq = &minDocFreq
return q
}
// termSuggesterRequest is necessary because the order in which
// the JSON elements are routed to Elasticsearch is relevant.
// We got into trouble when using plain maps because the text element
// needs to go before the term element.
type termSuggesterRequest struct {
Text string `json:"text"`
Term interface{} `json:"term"`
}
// Source generates the source for the term suggester.
func (q *TermSuggester) Source(includeName bool) (interface{}, error) {
// "suggest" : {
// "my-suggest-1" : {
// "text" : "the amsterdma meetpu",
// "term" : {
// "field" : "body"
// }
// },
// "my-suggest-2" : {
// "text" : "the rottredam meetpu",
// "term" : {
// "field" : "title",
// }
// }
// }
ts := &termSuggesterRequest{}
if q.text != "" {
ts.Text = q.text
}
suggester := make(map[string]interface{})
ts.Term = suggester
if q.analyzer != "" {
suggester["analyzer"] = q.analyzer
}
if q.field != "" {
suggester["field"] = q.field
}
if q.size != nil {
suggester["size"] = *q.size
}
if q.shardSize != nil {
suggester["shard_size"] = *q.shardSize
}
switch len(q.contextQueries) {
case 0:
case 1:
src, err := q.contextQueries[0].Source()
if err != nil {
return nil, err
}
suggester["context"] = src
default:
ctxq := make([]interface{}, len(q.contextQueries))
for i, query := range q.contextQueries {
src, err := query.Source()
if err != nil {
return nil, err
}
ctxq[i] = src
}
suggester["context"] = ctxq
}
// Specific to term suggester
if q.suggestMode != "" {
suggester["suggest_mode"] = q.suggestMode
}
if q.accuracy != nil {
suggester["accuracy"] = *q.accuracy
}
if q.sort != "" {
suggester["sort"] = q.sort
}
if q.stringDistance != "" {
suggester["string_distance"] = q.stringDistance
}
if q.maxEdits != nil {
suggester["max_edits"] = *q.maxEdits
}
if q.maxInspections != nil {
suggester["max_inspections"] = *q.maxInspections
}
if q.maxTermFreq != nil {
suggester["max_term_freq"] = *q.maxTermFreq
}
if q.prefixLength != nil {
suggester["prefix_len"] = *q.prefixLength
}
if q.minWordLength != nil {
suggester["min_word_len"] = *q.minWordLength
}
if q.minDocFreq != nil {
suggester["min_doc_freq"] = *q.minDocFreq
}
if !includeName {
return ts, nil
}
source := make(map[string]interface{})
source[q.name] = ts
return source, nil
}
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