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* Issue search support elasticsearch * Fix lint * Add indexer name on app.ini * add a warnning on SearchIssuesByKeyword * improve code
266 lines
6.7 KiB
Go
Vendored
266 lines
6.7 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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// HistogramAggregation is a multi-bucket values source based aggregation
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// that can be applied on numeric values extracted from the documents.
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// It dynamically builds fixed size (a.k.a. interval) buckets over the
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// values.
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// See: https://www.elastic.co/guide/en/elasticsearch/reference/7.0/search-aggregations-bucket-histogram-aggregation.html
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type HistogramAggregation struct {
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field string
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script *Script
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missing interface{}
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subAggregations map[string]Aggregation
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meta map[string]interface{}
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interval float64
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order string
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orderAsc bool
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minDocCount *int64
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minBounds *float64
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maxBounds *float64
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offset *float64
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}
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func NewHistogramAggregation() *HistogramAggregation {
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return &HistogramAggregation{
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subAggregations: make(map[string]Aggregation),
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}
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}
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func (a *HistogramAggregation) Field(field string) *HistogramAggregation {
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a.field = field
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return a
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}
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func (a *HistogramAggregation) Script(script *Script) *HistogramAggregation {
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a.script = script
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return a
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}
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// Missing configures the value to use when documents miss a value.
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func (a *HistogramAggregation) Missing(missing interface{}) *HistogramAggregation {
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a.missing = missing
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return a
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}
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func (a *HistogramAggregation) SubAggregation(name string, subAggregation Aggregation) *HistogramAggregation {
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a.subAggregations[name] = subAggregation
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return a
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}
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// Meta sets the meta data to be included in the aggregation response.
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func (a *HistogramAggregation) Meta(metaData map[string]interface{}) *HistogramAggregation {
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a.meta = metaData
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return a
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}
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// Interval for this builder, must be greater than 0.
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func (a *HistogramAggregation) Interval(interval float64) *HistogramAggregation {
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a.interval = interval
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return a
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}
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// Order specifies the sort order. Valid values for order are:
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// "_key", "_count", a sub-aggregation name, or a sub-aggregation name
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// with a metric.
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func (a *HistogramAggregation) Order(order string, asc bool) *HistogramAggregation {
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a.order = order
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a.orderAsc = asc
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return a
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}
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func (a *HistogramAggregation) OrderByCount(asc bool) *HistogramAggregation {
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// "order" : { "_count" : "asc" }
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a.order = "_count"
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a.orderAsc = asc
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return a
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}
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func (a *HistogramAggregation) OrderByCountAsc() *HistogramAggregation {
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return a.OrderByCount(true)
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}
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func (a *HistogramAggregation) OrderByCountDesc() *HistogramAggregation {
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return a.OrderByCount(false)
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}
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func (a *HistogramAggregation) OrderByKey(asc bool) *HistogramAggregation {
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// "order" : { "_key" : "asc" }
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a.order = "_key"
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a.orderAsc = asc
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return a
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}
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func (a *HistogramAggregation) OrderByKeyAsc() *HistogramAggregation {
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return a.OrderByKey(true)
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}
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func (a *HistogramAggregation) OrderByKeyDesc() *HistogramAggregation {
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return a.OrderByKey(false)
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}
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// OrderByAggregation creates a bucket ordering strategy which sorts buckets
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// based on a single-valued calc get.
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func (a *HistogramAggregation) OrderByAggregation(aggName string, asc bool) *HistogramAggregation {
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// {
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// "aggs" : {
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// "genders" : {
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// "terms" : {
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// "field" : "gender",
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// "order" : { "avg_height" : "desc" }
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// },
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// "aggs" : {
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// "avg_height" : { "avg" : { "field" : "height" } }
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// }
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// }
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// }
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// }
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a.order = aggName
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a.orderAsc = asc
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return a
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}
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// OrderByAggregationAndMetric creates a bucket ordering strategy which
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// sorts buckets based on a multi-valued calc get.
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func (a *HistogramAggregation) OrderByAggregationAndMetric(aggName, metric string, asc bool) *HistogramAggregation {
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// {
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// "aggs" : {
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// "genders" : {
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// "terms" : {
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// "field" : "gender",
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// "order" : { "height_stats.avg" : "desc" }
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// },
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// "aggs" : {
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// "height_stats" : { "stats" : { "field" : "height" } }
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// }
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// }
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// }
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// }
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a.order = aggName + "." + metric
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a.orderAsc = asc
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return a
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}
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func (a *HistogramAggregation) MinDocCount(minDocCount int64) *HistogramAggregation {
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a.minDocCount = &minDocCount
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return a
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}
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func (a *HistogramAggregation) ExtendedBounds(min, max float64) *HistogramAggregation {
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a.minBounds = &min
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a.maxBounds = &max
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return a
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}
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func (a *HistogramAggregation) ExtendedBoundsMin(min float64) *HistogramAggregation {
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a.minBounds = &min
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return a
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}
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func (a *HistogramAggregation) MinBounds(min float64) *HistogramAggregation {
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a.minBounds = &min
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return a
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}
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func (a *HistogramAggregation) ExtendedBoundsMax(max float64) *HistogramAggregation {
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a.maxBounds = &max
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return a
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}
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func (a *HistogramAggregation) MaxBounds(max float64) *HistogramAggregation {
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a.maxBounds = &max
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return a
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}
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// Offset into the histogram
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func (a *HistogramAggregation) Offset(offset float64) *HistogramAggregation {
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a.offset = &offset
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return a
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}
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func (a *HistogramAggregation) Source() (interface{}, error) {
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// Example:
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// {
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// "aggs" : {
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// "prices" : {
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// "histogram" : {
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// "field" : "price",
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// "interval" : 50
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// }
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// }
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// }
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// }
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//
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// This method returns only the { "histogram" : { ... } } part.
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source := make(map[string]interface{})
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opts := make(map[string]interface{})
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source["histogram"] = opts
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// ValuesSourceAggregationBuilder
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if a.field != "" {
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opts["field"] = a.field
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}
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if a.script != nil {
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src, err := a.script.Source()
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if err != nil {
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return nil, err
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}
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opts["script"] = src
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}
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if a.missing != nil {
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opts["missing"] = a.missing
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}
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opts["interval"] = a.interval
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if a.order != "" {
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o := make(map[string]interface{})
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if a.orderAsc {
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o[a.order] = "asc"
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} else {
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o[a.order] = "desc"
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}
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opts["order"] = o
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}
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if a.offset != nil {
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opts["offset"] = *a.offset
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}
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if a.minDocCount != nil {
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opts["min_doc_count"] = *a.minDocCount
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}
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if a.minBounds != nil || a.maxBounds != nil {
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bounds := make(map[string]interface{})
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if a.minBounds != nil {
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bounds["min"] = a.minBounds
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}
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if a.maxBounds != nil {
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bounds["max"] = a.maxBounds
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}
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opts["extended_bounds"] = bounds
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}
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// AggregationBuilder (SubAggregations)
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if len(a.subAggregations) > 0 {
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aggsMap := make(map[string]interface{})
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source["aggregations"] = aggsMap
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for name, aggregate := range a.subAggregations {
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src, err := aggregate.Source()
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if err != nil {
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return nil, err
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}
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aggsMap[name] = src
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}
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}
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// Add Meta data if available
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if len(a.meta) > 0 {
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source["meta"] = a.meta
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}
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return source, nil
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}
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