k3s/test/e2e/framework/perf_util.go

/*
Copyright 2016 The Kubernetes Authors All rights reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

package framework

import (
	"fmt"

	"k8s.io/kubernetes/test/e2e/perftype"
)

// TODO(random-liu): Change the tests to actually use PerfData from the begining instead of
// translating one to the other here.

// ApiCallToPerfData transforms APIResponsiveness to PerfData.
func ApiCallToPerfData(apicalls APIResponsiveness) *perftype.PerfData {
	perfData := &perftype.PerfData{}
	for _, apicall := range apicalls.APICalls {
		item := perftype.DataItem{
			Data: map[string]float64{
				"Perc50": float64(apicall.Latency.Perc50) / 1000000, // us -> ms
				"Perc90": float64(apicall.Latency.Perc90) / 1000000,
				"Perc99": float64(apicall.Latency.Perc99) / 1000000,
			},
			Unit: "ms",
			Labels: map[string]string{
				"Verb":     apicall.Verb,
				"Resource": apicall.Resource,
			},
		}
		perfData.DataItems = append(perfData.DataItems, item)
	}
	return perfData
}

// ResourceUsageToPerfData transforms ResourceUsagePerNode to PerfData. Notice that this function
// only cares about memory usage, because cpu usage information will be extracted from NodesCPUSummary.
func ResourceUsageToPerfData(usagePerNode ResourceUsagePerNode) *perftype.PerfData {
	items := []perftype.DataItem{}
	for node, usages := range usagePerNode {
		for c, usage := range usages {
			item := perftype.DataItem{
				Data: map[string]float64{
					"memory":     float64(usage.MemoryRSSInBytes) / (1024 * 1024),
					"workingset": float64(usage.MemoryWorkingSetInBytes) / (1024 * 1024),
					"rss":        float64(usage.MemoryRSSInBytes) / (1024 * 1024),
				},
				Unit: "MB",
				Labels: map[string]string{
					"node":      node,
					"container": c,
					"resource":  "memory",
				},
			}
			items = append(items, item)
		}
	}
	return &perftype.PerfData{DataItems: items}
}

// CPUUsageToPerfData transforms NodesCPUSummary to PerfData.
func CPUUsageToPerfData(usagePerNode NodesCPUSummary) *perftype.PerfData {
	items := []perftype.DataItem{}
	for node, usages := range usagePerNode {
		for c, usage := range usages {
			data := map[string]float64{}
			for perc, value := range usage {
				data[fmt.Sprintf("Perc%02.0f", perc*100)] = value * 100
			}
			item := perftype.DataItem{
				Data: data,
				Unit: "%",
				Labels: map[string]string{
					"node":      node,
					"container": c,
					"resource":  "cpu",
				},
			}
			items = append(items, item)
		}
	}
	return &perftype.PerfData{DataItems: items}
}

// PrintPerfData prints the perfdata in json format with PerfResultTag prefix.
// If an error occurs, nothing will be printed.
func PrintPerfData(p *perftype.PerfData) {
	if str := PrettyPrintJSON(p); str != "" {
		Logf("%s", perftype.PerfResultTag+" "+str)
	}
}