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package elasticsearch
import (
"github.com/grafana/grafana/pkg/components/simplejson"
)
// Query represents the time series query model of the datasource
type Query struct {
TimeField string `json:"timeField"`
RawQuery string `json:"query"`
BucketAggs []*BucketAgg `json:"bucketAggs"`
Metrics []*MetricAgg `json:"metrics"`
Alias string `json:"alias"`
Interval string
RefID string
}
// BucketAgg represents a bucket aggregation of the time series query model of the datasource
type BucketAgg struct {
Field string `json:"field"`
ID string `json:"id"`
Settings *simplejson.Json `json:"settings"`
Type string `jsons:"type"`
}
// MetricAgg represents a metric aggregation of the time series query model of the datasource
type MetricAgg struct {
Field string `json:"field"`
Hide bool `json:"hide"`
ID string `json:"id"`
PipelineAggregate string `json:"pipelineAgg"`
Settings *simplejson.Json `json:"settings"`
Meta *simplejson.Json `json:"meta"`
Type string `json:"type"`
}
var metricAggType = map[string]string{
"count": "Count",
"avg": "Average",
"sum": "Sum",
"max": "Max",
"min": "Min",
"extended_stats": "Extended Stats",
"percentiles": "Percentiles",
"cardinality": "Unique Count",
"moving_avg": "Moving Average",
"derivative": "Derivative",
"raw_document": "Raw Document",
}
var extendedStats = map[string]string{
"avg": "Avg",
"min": "Min",
"max": "Max",
"sum": "Sum",
"count": "Count",
"std_deviation": "Std Dev",
"std_deviation_bounds_upper": "Std Dev Upper",
"std_deviation_bounds_lower": "Std Dev Lower",
}
var pipelineAggType = map[string]string{
"moving_avg": "moving_avg",
"derivative": "derivative",
}
func isPipelineAgg(metricType string) bool {
if _, ok := pipelineAggType[metricType]; ok {
return true
}
return false
}
func describeMetric(metricType, field string) string {
text := metricAggType[metricType]
return text + " " + field
}
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