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search_aggs_bucket_significant_text.go 6.97 KB
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Oliver Eilhard 提交于 2018-03-24 14:17 . Clean up
// 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
// SignificantTextAggregation returns interesting or unusual occurrences
// of free-text terms in a set.
// See: https://www.elastic.co/guide/en/elasticsearch/reference/6.2/search-aggregations-bucket-significanttext-aggregation.html
type SignificantTextAggregation struct {
field string
subAggregations map[string]Aggregation
meta map[string]interface{}
sourceFieldNames []string
filterDuplicateText *bool
includeExclude *TermsAggregationIncludeExclude
filter Query
bucketCountThresholds *BucketCountThresholds
significanceHeuristic SignificanceHeuristic
}
func NewSignificantTextAggregation() *SignificantTextAggregation {
return &SignificantTextAggregation{
subAggregations: make(map[string]Aggregation, 0),
}
}
func (a *SignificantTextAggregation) Field(field string) *SignificantTextAggregation {
a.field = field
return a
}
func (a *SignificantTextAggregation) SubAggregation(name string, subAggregation Aggregation) *SignificantTextAggregation {
a.subAggregations[name] = subAggregation
return a
}
// Meta sets the meta data to be included in the aggregation response.
func (a *SignificantTextAggregation) Meta(metaData map[string]interface{}) *SignificantTextAggregation {
a.meta = metaData
return a
}
func (a *SignificantTextAggregation) SourceFieldNames(names ...string) *SignificantTextAggregation {
a.sourceFieldNames = names
return a
}
func (a *SignificantTextAggregation) FilterDuplicateText(filter bool) *SignificantTextAggregation {
a.filterDuplicateText = &filter
return a
}
func (a *SignificantTextAggregation) MinDocCount(minDocCount int64) *SignificantTextAggregation {
if a.bucketCountThresholds == nil {
a.bucketCountThresholds = &BucketCountThresholds{}
}
a.bucketCountThresholds.MinDocCount = &minDocCount
return a
}
func (a *SignificantTextAggregation) ShardMinDocCount(shardMinDocCount int64) *SignificantTextAggregation {
if a.bucketCountThresholds == nil {
a.bucketCountThresholds = &BucketCountThresholds{}
}
a.bucketCountThresholds.ShardMinDocCount = &shardMinDocCount
return a
}
func (a *SignificantTextAggregation) Size(size int) *SignificantTextAggregation {
if a.bucketCountThresholds == nil {
a.bucketCountThresholds = &BucketCountThresholds{}
}
a.bucketCountThresholds.RequiredSize = &size
return a
}
func (a *SignificantTextAggregation) ShardSize(shardSize int) *SignificantTextAggregation {
if a.bucketCountThresholds == nil {
a.bucketCountThresholds = &BucketCountThresholds{}
}
a.bucketCountThresholds.ShardSize = &shardSize
return a
}
func (a *SignificantTextAggregation) BackgroundFilter(filter Query) *SignificantTextAggregation {
a.filter = filter
return a
}
func (a *SignificantTextAggregation) SignificanceHeuristic(heuristic SignificanceHeuristic) *SignificantTextAggregation {
a.significanceHeuristic = heuristic
return a
}
func (a *SignificantTextAggregation) Include(regexp string) *SignificantTextAggregation {
if a.includeExclude == nil {
a.includeExclude = &TermsAggregationIncludeExclude{}
}
a.includeExclude.Include = regexp
return a
}
func (a *SignificantTextAggregation) IncludeValues(values ...interface{}) *SignificantTextAggregation {
if a.includeExclude == nil {
a.includeExclude = &TermsAggregationIncludeExclude{}
}
a.includeExclude.IncludeValues = append(a.includeExclude.IncludeValues, values...)
return a
}
func (a *SignificantTextAggregation) Exclude(regexp string) *SignificantTextAggregation {
if a.includeExclude == nil {
a.includeExclude = &TermsAggregationIncludeExclude{}
}
a.includeExclude.Exclude = regexp
return a
}
func (a *SignificantTextAggregation) ExcludeValues(values ...interface{}) *SignificantTextAggregation {
if a.includeExclude == nil {
a.includeExclude = &TermsAggregationIncludeExclude{}
}
a.includeExclude.ExcludeValues = append(a.includeExclude.ExcludeValues, values...)
return a
}
func (a *SignificantTextAggregation) Partition(p int) *SignificantTextAggregation {
if a.includeExclude == nil {
a.includeExclude = &TermsAggregationIncludeExclude{}
}
a.includeExclude.Partition = p
return a
}
func (a *SignificantTextAggregation) NumPartitions(n int) *SignificantTextAggregation {
if a.includeExclude == nil {
a.includeExclude = &TermsAggregationIncludeExclude{}
}
a.includeExclude.NumPartitions = n
return a
}
func (a *SignificantTextAggregation) Source() (interface{}, error) {
// Example:
// {
// "query" : {
// "match" : {"content" : "Bird flu"}
// },
// "aggregations" : {
// "my_sample" : {
// "sampler": {
// "shard_size" : 100
// },
// "aggregations": {
// "keywords" : {
// "significant_text" : { "field" : "content" }
// }
// }
// }
// }
// }
//
// This method returns only the
// { "significant_text" : { "field" : "content" }
// part.
source := make(map[string]interface{})
opts := make(map[string]interface{})
source["significant_text"] = opts
if a.field != "" {
opts["field"] = a.field
}
if a.bucketCountThresholds != nil {
if a.bucketCountThresholds.RequiredSize != nil {
opts["size"] = (*a.bucketCountThresholds).RequiredSize
}
if a.bucketCountThresholds.ShardSize != nil {
opts["shard_size"] = (*a.bucketCountThresholds).ShardSize
}
if a.bucketCountThresholds.MinDocCount != nil {
opts["min_doc_count"] = (*a.bucketCountThresholds).MinDocCount
}
if a.bucketCountThresholds.ShardMinDocCount != nil {
opts["shard_min_doc_count"] = (*a.bucketCountThresholds).ShardMinDocCount
}
}
if a.filter != nil {
src, err := a.filter.Source()
if err != nil {
return nil, err
}
opts["background_filter"] = src
}
if a.significanceHeuristic != nil {
name := a.significanceHeuristic.Name()
src, err := a.significanceHeuristic.Source()
if err != nil {
return nil, err
}
opts[name] = src
}
// Include/Exclude
if ie := a.includeExclude; ie != nil {
// Include
if ie.Include != "" {
opts["include"] = ie.Include
} else if len(ie.IncludeValues) > 0 {
opts["include"] = ie.IncludeValues
} else if ie.NumPartitions > 0 {
inc := make(map[string]interface{})
inc["partition"] = ie.Partition
inc["num_partitions"] = ie.NumPartitions
opts["include"] = inc
}
// Exclude
if ie.Exclude != "" {
opts["exclude"] = ie.Exclude
} else if len(ie.ExcludeValues) > 0 {
opts["exclude"] = ie.ExcludeValues
}
}
// AggregationBuilder (SubAggregations)
if len(a.subAggregations) > 0 {
aggsMap := make(map[string]interface{})
source["aggregations"] = aggsMap
for name, aggregate := range a.subAggregations {
src, err := aggregate.Source()
if err != nil {
return nil, err
}
aggsMap[name] = src
}
}
// Add Meta data if available
if len(a.meta) > 0 {
source["meta"] = a.meta
}
return source, nil
}
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