 5dbf36f356
			
		
	
	
	
	
	5dbf36f356* Issue search support elasticsearch * Fix lint * Add indexer name on app.ini * add a warnning on SearchIssuesByKeyword * improve code
		
			
				
	
	
		
			520 lines
		
	
	
	
		
			14 KiB
		
	
	
	
		
			Go
		
	
	
	
		
			Vendored
		
	
	
	
			
		
		
	
	
			520 lines
		
	
	
	
		
			14 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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| 
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| package elastic
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| 
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| import (
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| 	"context"
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| 	"fmt"
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| 	"net/http"
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| 	"net/url"
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| 	"strings"
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| 
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| 	"github.com/olivere/elastic/v7/uritemplates"
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| )
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| 
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| // TermvectorsService returns information and statistics on terms in the
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| // fields of a particular document. The document could be stored in the
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| // index or artificially provided by the user.
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| //
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| // See https://www.elastic.co/guide/en/elasticsearch/reference/7.0/docs-termvectors.html
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| // for documentation.
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| type TermvectorsService struct {
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| 	client *Client
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| 
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| 	pretty     *bool       // pretty format the returned JSON response
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| 	human      *bool       // return human readable values for statistics
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| 	errorTrace *bool       // include the stack trace of returned errors
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| 	filterPath []string    // list of filters used to reduce the response
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| 	headers    http.Header // custom request-level HTTP headers
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| 
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| 	id               string
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| 	index            string
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| 	typ              string
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| 	dfs              *bool
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| 	doc              interface{}
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| 	fieldStatistics  *bool
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| 	fields           []string
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| 	filter           *TermvectorsFilterSettings
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| 	perFieldAnalyzer map[string]string
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| 	offsets          *bool
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| 	parent           string
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| 	payloads         *bool
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| 	positions        *bool
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| 	preference       string
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| 	realtime         *bool
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| 	routing          string
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| 	termStatistics   *bool
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| 	version          interface{}
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| 	versionType      string
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| 	bodyJson         interface{}
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| 	bodyString       string
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| }
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| 
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| // NewTermvectorsService creates a new TermvectorsService.
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| func NewTermvectorsService(client *Client) *TermvectorsService {
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| 	return &TermvectorsService{
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| 		client: client,
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| 	}
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| }
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| 
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| // Pretty tells Elasticsearch whether to return a formatted JSON response.
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| func (s *TermvectorsService) Pretty(pretty bool) *TermvectorsService {
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| 	s.pretty = &pretty
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| 	return s
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| }
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| 
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| // Human specifies whether human readable values should be returned in
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| // the JSON response, e.g. "7.5mb".
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| func (s *TermvectorsService) Human(human bool) *TermvectorsService {
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| 	s.human = &human
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| 	return s
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| }
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| 
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| // ErrorTrace specifies whether to include the stack trace of returned errors.
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| func (s *TermvectorsService) ErrorTrace(errorTrace bool) *TermvectorsService {
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| 	s.errorTrace = &errorTrace
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| 	return s
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| }
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| 
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| // FilterPath specifies a list of filters used to reduce the response.
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| func (s *TermvectorsService) FilterPath(filterPath ...string) *TermvectorsService {
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| 	s.filterPath = filterPath
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| 	return s
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| }
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| 
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| // Header adds a header to the request.
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| func (s *TermvectorsService) Header(name string, value string) *TermvectorsService {
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| 	if s.headers == nil {
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| 		s.headers = http.Header{}
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| 	}
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| 	s.headers.Add(name, value)
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| 	return s
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| }
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| 
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| // Headers specifies the headers of the request.
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| func (s *TermvectorsService) Headers(headers http.Header) *TermvectorsService {
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| 	s.headers = headers
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| 	return s
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| }
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| 
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| // Index in which the document resides.
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| func (s *TermvectorsService) Index(index string) *TermvectorsService {
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| 	s.index = index
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| 	return s
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| }
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| 
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| // Type of the document.
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| //
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| // Deprecated: Types are in the process of being removed.
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| func (s *TermvectorsService) Type(typ string) *TermvectorsService {
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| 	s.typ = typ
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| 	return s
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| }
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| 
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| // Id of the document.
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| func (s *TermvectorsService) Id(id string) *TermvectorsService {
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| 	s.id = id
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| 	return s
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| }
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| 
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| // Dfs specifies if distributed frequencies should be returned instead
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| // shard frequencies.
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| func (s *TermvectorsService) Dfs(dfs bool) *TermvectorsService {
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| 	s.dfs = &dfs
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| 	return s
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| }
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| 
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| // Doc is the document to analyze.
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| func (s *TermvectorsService) Doc(doc interface{}) *TermvectorsService {
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| 	s.doc = doc
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| 	return s
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| }
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| 
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| // FieldStatistics specifies if document count, sum of document frequencies
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| // and sum of total term frequencies should be returned.
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| func (s *TermvectorsService) FieldStatistics(fieldStatistics bool) *TermvectorsService {
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| 	s.fieldStatistics = &fieldStatistics
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| 	return s
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| }
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| 
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| // Fields a list of fields to return.
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| func (s *TermvectorsService) Fields(fields ...string) *TermvectorsService {
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| 	if s.fields == nil {
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| 		s.fields = make([]string, 0)
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| 	}
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| 	s.fields = append(s.fields, fields...)
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| 	return s
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| }
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| 
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| // Filter adds terms filter settings.
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| func (s *TermvectorsService) Filter(filter *TermvectorsFilterSettings) *TermvectorsService {
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| 	s.filter = filter
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| 	return s
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| }
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| 
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| // PerFieldAnalyzer allows to specify a different analyzer than the one
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| // at the field.
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| func (s *TermvectorsService) PerFieldAnalyzer(perFieldAnalyzer map[string]string) *TermvectorsService {
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| 	s.perFieldAnalyzer = perFieldAnalyzer
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| 	return s
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| }
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| 
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| // Offsets specifies if term offsets should be returned.
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| func (s *TermvectorsService) Offsets(offsets bool) *TermvectorsService {
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| 	s.offsets = &offsets
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| 	return s
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| }
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| 
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| // Parent id of documents.
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| func (s *TermvectorsService) Parent(parent string) *TermvectorsService {
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| 	s.parent = parent
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| 	return s
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| }
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| 
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| // Payloads specifies if term payloads should be returned.
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| func (s *TermvectorsService) Payloads(payloads bool) *TermvectorsService {
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| 	s.payloads = &payloads
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| 	return s
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| }
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| 
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| // Positions specifies if term positions should be returned.
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| func (s *TermvectorsService) Positions(positions bool) *TermvectorsService {
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| 	s.positions = &positions
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| 	return s
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| }
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| 
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| // Preference specify the node or shard the operation
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| // should be performed on (default: random).
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| func (s *TermvectorsService) Preference(preference string) *TermvectorsService {
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| 	s.preference = preference
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| 	return s
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| }
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| 
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| // Realtime specifies if request is real-time as opposed to
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| // near-real-time (default: true).
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| func (s *TermvectorsService) Realtime(realtime bool) *TermvectorsService {
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| 	s.realtime = &realtime
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| 	return s
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| }
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| 
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| // Routing is a specific routing value.
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| func (s *TermvectorsService) Routing(routing string) *TermvectorsService {
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| 	s.routing = routing
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| 	return s
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| }
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| 
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| // TermStatistics specifies if total term frequency and document frequency
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| // should be returned.
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| func (s *TermvectorsService) TermStatistics(termStatistics bool) *TermvectorsService {
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| 	s.termStatistics = &termStatistics
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| 	return s
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| }
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| 
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| // Version an explicit version number for concurrency control.
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| func (s *TermvectorsService) Version(version interface{}) *TermvectorsService {
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| 	s.version = version
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| 	return s
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| }
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| 
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| // VersionType specifies a version type ("internal", "external", or "external_gte").
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| func (s *TermvectorsService) VersionType(versionType string) *TermvectorsService {
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| 	s.versionType = versionType
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| 	return s
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| }
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| 
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| // BodyJson defines the body parameters. See documentation.
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| func (s *TermvectorsService) BodyJson(body interface{}) *TermvectorsService {
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| 	s.bodyJson = body
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| 	return s
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| }
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| 
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| // BodyString defines the body parameters as a string. See documentation.
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| func (s *TermvectorsService) BodyString(body string) *TermvectorsService {
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| 	s.bodyString = body
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| 	return s
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| }
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| 
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| // buildURL builds the URL for the operation.
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| func (s *TermvectorsService) buildURL() (string, url.Values, error) {
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| 	var pathParam = map[string]string{
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| 		"index": s.index,
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| 	}
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| 	path := "/{index}"
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| 	var err error
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| 
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| 	if s.typ != "" {
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| 		pathParam["type"] = s.typ
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| 		path += "/{type}"
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| 	} else {
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| 		path += "/_termvectors"
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| 	}
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| 	if s.id != "" {
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| 		pathParam["id"] = s.id
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| 		path += "/{id}"
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| 	}
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| 	if s.typ != "" {
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| 		path += "/_termvectors"
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| 	}
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| 
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| 	path, err = uritemplates.Expand(path, pathParam)
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| 	if err != nil {
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| 		return "", url.Values{}, err
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| 	}
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| 
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| 	// Add query string parameters
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| 	params := url.Values{}
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| 	if v := s.pretty; v != nil {
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| 		params.Set("pretty", fmt.Sprint(*v))
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| 	}
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| 	if v := s.human; v != nil {
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| 		params.Set("human", fmt.Sprint(*v))
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| 	}
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| 	if v := s.errorTrace; v != nil {
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| 		params.Set("error_trace", fmt.Sprint(*v))
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| 	}
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| 	if len(s.filterPath) > 0 {
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| 		params.Set("filter_path", strings.Join(s.filterPath, ","))
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| 	}
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| 	if v := s.dfs; v != nil {
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| 		params.Set("dfs", fmt.Sprint(*v))
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| 	}
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| 	if v := s.fieldStatistics; v != nil {
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| 		params.Set("field_statistics", fmt.Sprint(*v))
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| 	}
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| 	if len(s.fields) > 0 {
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| 		params.Set("fields", strings.Join(s.fields, ","))
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| 	}
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| 	if v := s.offsets; v != nil {
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| 		params.Set("offsets", fmt.Sprint(*v))
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| 	}
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| 	if s.parent != "" {
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| 		params.Set("parent", s.parent)
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| 	}
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| 	if v := s.payloads; v != nil {
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| 		params.Set("payloads", fmt.Sprint(*v))
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| 	}
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| 	if v := s.positions; v != nil {
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| 		params.Set("positions", fmt.Sprint(*v))
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| 	}
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| 	if s.preference != "" {
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| 		params.Set("preference", s.preference)
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| 	}
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| 	if v := s.realtime; v != nil {
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| 		params.Set("realtime", fmt.Sprint(*v))
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| 	}
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| 	if s.routing != "" {
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| 		params.Set("routing", s.routing)
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| 	}
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| 	if v := s.termStatistics; v != nil {
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| 		params.Set("term_statistics", fmt.Sprint(*v))
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| 	}
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| 	if s.version != nil {
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| 		params.Set("version", fmt.Sprintf("%v", s.version))
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| 	}
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| 	if s.versionType != "" {
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| 		params.Set("version_type", s.versionType)
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| 	}
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| 	return path, params, nil
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| }
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| 
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| // Validate checks if the operation is valid.
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| func (s *TermvectorsService) Validate() error {
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| 	var invalid []string
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| 	if s.index == "" {
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| 		invalid = append(invalid, "Index")
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| 	}
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| 	if len(invalid) > 0 {
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| 		return fmt.Errorf("missing required fields: %v", invalid)
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| 	}
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| 	return nil
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| }
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| 
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| // Do executes the operation.
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| func (s *TermvectorsService) Do(ctx context.Context) (*TermvectorsResponse, error) {
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| 	// Check pre-conditions
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| 	if err := s.Validate(); err != nil {
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| 		return nil, err
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| 	}
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| 
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| 	// Get URL for request
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| 	path, params, err := s.buildURL()
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| 	if err != nil {
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| 		return nil, err
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| 	}
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| 
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| 	// Setup HTTP request body
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| 	var body interface{}
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| 	if s.bodyJson != nil {
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| 		body = s.bodyJson
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| 	} else if s.bodyString != "" {
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| 		body = s.bodyString
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| 	} else {
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| 		data := make(map[string]interface{})
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| 		if s.doc != nil {
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| 			data["doc"] = s.doc
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| 		}
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| 		if len(s.perFieldAnalyzer) > 0 {
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| 			data["per_field_analyzer"] = s.perFieldAnalyzer
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| 		}
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| 		if s.filter != nil {
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| 			src, err := s.filter.Source()
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| 			if err != nil {
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| 				return nil, err
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| 			}
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| 			data["filter"] = src
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| 		}
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| 		if len(data) > 0 {
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| 			body = data
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| 		}
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| 	}
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| 
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| 	// Get HTTP response
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| 	res, err := s.client.PerformRequest(ctx, PerformRequestOptions{
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| 		Method:  "GET",
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| 		Path:    path,
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| 		Params:  params,
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| 		Body:    body,
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| 		Headers: s.headers,
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| 	})
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| 	if err != nil {
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| 		return nil, err
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| 	}
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| 
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| 	// Return operation response
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| 	ret := new(TermvectorsResponse)
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| 	if err := s.client.decoder.Decode(res.Body, ret); err != nil {
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| 		return nil, err
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| 	}
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| 	return ret, nil
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| }
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| 
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| // -- Filter settings --
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| 
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| // TermvectorsFilterSettings adds additional filters to a Termsvector request.
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| // It allows to filter terms based on their tf-idf scores.
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| // See https://www.elastic.co/guide/en/elasticsearch/reference/7.0/docs-termvectors.html#_terms_filtering
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| // for more information.
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| type TermvectorsFilterSettings struct {
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| 	maxNumTerms   *int64
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| 	minTermFreq   *int64
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| 	maxTermFreq   *int64
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| 	minDocFreq    *int64
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| 	maxDocFreq    *int64
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| 	minWordLength *int64
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| 	maxWordLength *int64
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| }
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| 
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| // NewTermvectorsFilterSettings creates and initializes a new TermvectorsFilterSettings struct.
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| func NewTermvectorsFilterSettings() *TermvectorsFilterSettings {
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| 	return &TermvectorsFilterSettings{}
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| }
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| 
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| // MaxNumTerms specifies the maximum number of terms the must be returned per field.
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| func (fs *TermvectorsFilterSettings) MaxNumTerms(value int64) *TermvectorsFilterSettings {
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| 	fs.maxNumTerms = &value
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| 	return fs
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| }
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| 
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| // MinTermFreq ignores words with less than this frequency in the source doc.
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| func (fs *TermvectorsFilterSettings) MinTermFreq(value int64) *TermvectorsFilterSettings {
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| 	fs.minTermFreq = &value
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| 	return fs
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| }
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| 
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| // MaxTermFreq ignores words with more than this frequency in the source doc.
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| func (fs *TermvectorsFilterSettings) MaxTermFreq(value int64) *TermvectorsFilterSettings {
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| 	fs.maxTermFreq = &value
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| 	return fs
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| }
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| 
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| // MinDocFreq ignores terms which do not occur in at least this many docs.
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| func (fs *TermvectorsFilterSettings) MinDocFreq(value int64) *TermvectorsFilterSettings {
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| 	fs.minDocFreq = &value
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| 	return fs
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| }
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| 
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| // MaxDocFreq ignores terms which occur in more than this many docs.
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| func (fs *TermvectorsFilterSettings) MaxDocFreq(value int64) *TermvectorsFilterSettings {
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| 	fs.maxDocFreq = &value
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| 	return fs
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| }
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| 
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| // MinWordLength specifies the minimum word length below which words will be ignored.
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| func (fs *TermvectorsFilterSettings) MinWordLength(value int64) *TermvectorsFilterSettings {
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| 	fs.minWordLength = &value
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| 	return fs
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| }
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| 
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| // MaxWordLength specifies the maximum word length above which words will be ignored.
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| func (fs *TermvectorsFilterSettings) MaxWordLength(value int64) *TermvectorsFilterSettings {
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| 	fs.maxWordLength = &value
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| 	return fs
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| }
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| 
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| // Source returns JSON for the query.
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| func (fs *TermvectorsFilterSettings) Source() (interface{}, error) {
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| 	source := make(map[string]interface{})
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| 	if fs.maxNumTerms != nil {
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| 		source["max_num_terms"] = *fs.maxNumTerms
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| 	}
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| 	if fs.minTermFreq != nil {
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| 		source["min_term_freq"] = *fs.minTermFreq
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| 	}
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| 	if fs.maxTermFreq != nil {
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| 		source["max_term_freq"] = *fs.maxTermFreq
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| 	}
 | |
| 	if fs.minDocFreq != nil {
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| 		source["min_doc_freq"] = *fs.minDocFreq
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| 	}
 | |
| 	if fs.maxDocFreq != nil {
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| 		source["max_doc_freq"] = *fs.maxDocFreq
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| 	}
 | |
| 	if fs.minWordLength != nil {
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| 		source["min_word_length"] = *fs.minWordLength
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| 	}
 | |
| 	if fs.maxWordLength != nil {
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| 		source["max_word_length"] = *fs.maxWordLength
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| 	}
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| 	return source, nil
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| }
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| 
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| // -- Response types --
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| 
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| type TokenInfo struct {
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| 	StartOffset int64  `json:"start_offset"`
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| 	EndOffset   int64  `json:"end_offset"`
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| 	Position    int64  `json:"position"`
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| 	Payload     string `json:"payload"`
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| }
 | |
| 
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| type TermsInfo struct {
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| 	DocFreq  int64       `json:"doc_freq"`
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| 	Score    float64     `json:"score"`
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| 	TermFreq int64       `json:"term_freq"`
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| 	Ttf      int64       `json:"ttf"`
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| 	Tokens   []TokenInfo `json:"tokens"`
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| }
 | |
| 
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| type FieldStatistics struct {
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| 	DocCount   int64 `json:"doc_count"`
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| 	SumDocFreq int64 `json:"sum_doc_freq"`
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| 	SumTtf     int64 `json:"sum_ttf"`
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| }
 | |
| 
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| type TermVectorsFieldInfo struct {
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| 	FieldStatistics FieldStatistics      `json:"field_statistics"`
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| 	Terms           map[string]TermsInfo `json:"terms"`
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| }
 | |
| 
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| // TermvectorsResponse is the response of TermvectorsService.Do.
 | |
| type TermvectorsResponse struct {
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| 	Index       string                          `json:"_index"`
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| 	Type        string                          `json:"_type"`
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| 	Id          string                          `json:"_id,omitempty"`
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| 	Version     int                             `json:"_version"`
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| 	Found       bool                            `json:"found"`
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| 	Took        int64                           `json:"took"`
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| 	TermVectors map[string]TermVectorsFieldInfo `json:"term_vectors"`
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| }
 |