/* Copyright 2019 The Kubernetes Authors. 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 metrics import ( "bytes" "encoding/json" "fmt" "k8s.io/component-base/metrics/testutil" "k8s.io/kubernetes/test/e2e/framework" ) const ( // Cluster Autoscaler metrics names caFunctionMetric = "cluster_autoscaler_function_duration_seconds_bucket" caFunctionMetricLabel = "function" ) // ComponentCollection is metrics collection of components. type ComponentCollection Collection func (m *ComponentCollection) filterMetrics() { apiServerMetrics := make(APIServerMetrics) for _, metric := range interestingAPIServerMetrics { apiServerMetrics[metric] = (*m).APIServerMetrics[metric] } controllerManagerMetrics := make(ControllerManagerMetrics) for _, metric := range interestingControllerManagerMetrics { controllerManagerMetrics[metric] = (*m).ControllerManagerMetrics[metric] } kubeletMetrics := make(map[string]KubeletMetrics) for kubelet, grabbed := range (*m).KubeletMetrics { kubeletMetrics[kubelet] = make(KubeletMetrics) for _, metric := range interestingKubeletMetrics { kubeletMetrics[kubelet][metric] = grabbed[metric] } } (*m).APIServerMetrics = apiServerMetrics (*m).ControllerManagerMetrics = controllerManagerMetrics (*m).KubeletMetrics = kubeletMetrics } // PrintHumanReadable returns e2e metrics with JSON format. func (m *ComponentCollection) PrintHumanReadable() string { buf := bytes.Buffer{} for _, interestingMetric := range interestingAPIServerMetrics { buf.WriteString(fmt.Sprintf("For %v:\n", interestingMetric)) for _, sample := range (*m).APIServerMetrics[interestingMetric] { buf.WriteString(fmt.Sprintf("\t%v\n", testutil.PrintSample(sample))) } } for _, interestingMetric := range interestingControllerManagerMetrics { buf.WriteString(fmt.Sprintf("For %v:\n", interestingMetric)) for _, sample := range (*m).ControllerManagerMetrics[interestingMetric] { buf.WriteString(fmt.Sprintf("\t%v\n", testutil.PrintSample(sample))) } } for _, interestingMetric := range interestingClusterAutoscalerMetrics { buf.WriteString(fmt.Sprintf("For %v:\n", interestingMetric)) for _, sample := range (*m).ClusterAutoscalerMetrics[interestingMetric] { buf.WriteString(fmt.Sprintf("\t%v\n", testutil.PrintSample(sample))) } } for kubelet, grabbed := range (*m).KubeletMetrics { buf.WriteString(fmt.Sprintf("For %v:\n", kubelet)) for _, interestingMetric := range interestingKubeletMetrics { buf.WriteString(fmt.Sprintf("\tFor %v:\n", interestingMetric)) for _, sample := range grabbed[interestingMetric] { buf.WriteString(fmt.Sprintf("\t\t%v\n", testutil.PrintSample(sample))) } } } return buf.String() } // PrettyPrintJSON converts metrics to JSON format. // TODO: This function should be replaced with framework.PrettyPrintJSON after solving // circulary dependency between core framework and this metrics subpackage. func PrettyPrintJSON(metrics interface{}) string { output := &bytes.Buffer{} if err := json.NewEncoder(output).Encode(metrics); err != nil { framework.Logf("Error building encoder: %v", err) return "" } formatted := &bytes.Buffer{} if err := json.Indent(formatted, output.Bytes(), "", " "); err != nil { framework.Logf("Error indenting: %v", err) return "" } return string(formatted.Bytes()) } // PrintJSON returns e2e metrics with JSON format. func (m *ComponentCollection) PrintJSON() string { m.filterMetrics() return PrettyPrintJSON(m) } // SummaryKind returns the summary of e2e metrics. func (m *ComponentCollection) SummaryKind() string { return "ComponentCollection" } // ComputeClusterAutoscalerMetricsDelta computes the change in cluster // autoscaler metrics. func (m *ComponentCollection) ComputeClusterAutoscalerMetricsDelta(before Collection) { if beforeSamples, found := before.ClusterAutoscalerMetrics[caFunctionMetric]; found { if afterSamples, found := m.ClusterAutoscalerMetrics[caFunctionMetric]; found { testutil.ComputeHistogramDelta(beforeSamples, afterSamples, caFunctionMetricLabel) } } }