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https://github.com/kubernetes-sigs/prometheus-adapter.git
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fe0859aa5c
Notable next steps include: * Intelligently select the aggregation method (rate/avg_over_time/etc). * Intelligenty select the aggregation window. * Figure out how to handle "namespace", if at all. * Fix the crazy type conversion in `sample_converter.go`.
37 lines
1.1 KiB
Go
37 lines
1.1 KiB
Go
package provider
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import (
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"errors"
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prom "github.com/directxman12/k8s-prometheus-adapter/pkg/client"
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"github.com/prometheus/common/model"
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"k8s.io/metrics/pkg/apis/external_metrics"
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)
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type matrixConverter struct {
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}
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//NewMatrixConverter creates a MatrixConverter capable of converting
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//matrix Prometheus query results into external metric types.
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func NewMatrixConverter() MetricConverter {
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return &matrixConverter{}
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}
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func (c *matrixConverter) Convert(metadata QueryMetadata, queryResult prom.QueryResult) (*external_metrics.ExternalMetricValueList, error) {
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if queryResult.Type != model.ValMatrix {
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return nil, errors.New("matrixConverter can only convert scalar query results")
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}
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toConvert := queryResult.Matrix
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if toConvert == nil {
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return nil, errors.New("the provided input did not contain matrix query results")
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}
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return c.convert(toConvert)
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}
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func (c *matrixConverter) convert(result *model.Matrix) (*external_metrics.ExternalMetricValueList, error) {
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//TODO: Implementation.
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return nil, errors.New("converting Matrix results is not yet supported")
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}
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