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Some more adjustment.

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* Breaking out some types to make the functionality more composable and easier to digest. (e.g. `basicMetricLister` interacts with Prometheus and `periodicMetricLister` periodically invokes `basicMetricLister`.
* Pulling out some of the type embedding between `basicSeriesRegistry` and `MetricLister` to make it easier to digest.
* Deleting the `/metric-converter` code because I'm pretty certain it's not going to be necessary as things transition to using the namer-based configuration.
* Some light-ish refactoring in `metricNamer` to get some re-use out of query generation in preparation for using it with external metrics.
This commit is contained in:
Tony Compton 2018-07-17 15:50:32 -04:00
parent 277734dcdb
commit 76217a552b
15 changed files with 490 additions and 558 deletions
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47
pkg/custom-provider/metric-converter/metric_converter.go
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@ -1,47 +0,0 @@
package provider
import (
"errors"
prom "github.com/directxman12/k8s-prometheus-adapter/pkg/client"
"github.com/prometheus/common/model"
"k8s.io/metrics/pkg/apis/external_metrics"
)
//MetricConverter provides a unified interface for converting the results of
//Prometheus queries into external metric types.
type MetricConverter interface {
Convert(metadata QueryMetadata, queryResult prom.QueryResult) (*external_metrics.ExternalMetricValueList, error)
}
type metricConverter struct {
scalarConverter MetricConverter
vectorConverter MetricConverter
matrixConverter MetricConverter
}
//NewMetricConverter creates a MetricCoverter, capable of converting any of the three metric types
//returned by the Prometheus client into external metrics types.
func NewMetricConverter(scalar MetricConverter, vector MetricConverter, matrix MetricConverter) MetricConverter {
return &metricConverter{
scalarConverter: scalar,
vectorConverter: vector,
matrixConverter: matrix,
}
}
func (c *metricConverter) Convert(metadata QueryMetadata, queryResult prom.QueryResult) (*external_metrics.ExternalMetricValueList, error) {
if queryResult.Type == model.ValScalar {
return c.scalarConverter.Convert(metadata, queryResult)
}
if queryResult.Type == model.ValVector {
return c.vectorConverter.Convert(metadata, queryResult)
}
if queryResult.Type == model.ValMatrix {
return c.matrixConverter.Convert(metadata, queryResult)
}
return nil, errors.New("encountered an unexpected query result type")
}