8e5b17cf13
Signed-off-by: Mrunal Patel <mrunalp@gmail.com>
133 lines
3.2 KiB
Go
133 lines
3.2 KiB
Go
/*
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Copyright 2015 The Kubernetes Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package initialresources
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import (
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"math"
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"sort"
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"time"
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"k8s.io/kubernetes/pkg/api"
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gce "cloud.google.com/go/compute/metadata"
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"golang.org/x/oauth2"
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"golang.org/x/oauth2/google"
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gcm "google.golang.org/api/cloudmonitoring/v2beta2"
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)
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const (
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kubePrefix = "custom.cloudmonitoring.googleapis.com/kubernetes.io/"
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cpuMetricName = kubePrefix + "cpu/usage_rate"
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memMetricName = kubePrefix + "memory/usage"
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labelImage = kubePrefix + "label/container_base_image"
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labelNs = kubePrefix + "label/pod_namespace"
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)
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type gcmSource struct {
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project string
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gcmService *gcm.Service
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}
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func newGcmSource() (dataSource, error) {
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// Detect project ID
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projectId, err := gce.ProjectID()
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if err != nil {
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return nil, err
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}
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// Create Google Cloud Monitoring service.
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client := oauth2.NewClient(oauth2.NoContext, google.ComputeTokenSource(""))
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s, err := gcm.New(client)
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if err != nil {
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return nil, err
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}
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return &gcmSource{
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project: projectId,
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gcmService: s,
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}, nil
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}
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func (s *gcmSource) query(metric, oldest, youngest string, labels []string, pageToken string) (*gcm.ListTimeseriesResponse, error) {
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req := s.gcmService.Timeseries.List(s.project, metric, youngest, nil).
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Oldest(oldest).
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Aggregator("mean").
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Window("1m")
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for _, l := range labels {
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req = req.Labels(l)
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}
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if pageToken != "" {
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req = req.PageToken(pageToken)
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}
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return req.Do()
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}
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func retrieveRawSamples(res *gcm.ListTimeseriesResponse, output *[]int) {
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for _, ts := range res.Timeseries {
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for _, p := range ts.Points {
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*output = append(*output, int(*p.DoubleValue))
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}
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}
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}
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func (s *gcmSource) GetUsagePercentile(kind api.ResourceName, perc int64, image, namespace string, exactMatch bool, start, end time.Time) (int64, int64, error) {
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var metric string
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if kind == api.ResourceCPU {
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metric = cpuMetricName
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} else if kind == api.ResourceMemory {
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metric = memMetricName
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}
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var labels []string
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if exactMatch {
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labels = append(labels, labelImage+"=="+image)
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} else {
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labels = append(labels, labelImage+"=~"+image+".*")
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}
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if namespace != "" {
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labels = append(labels, labelNs+"=="+namespace)
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}
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oldest := start.Format(time.RFC3339)
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youngest := end.Format(time.RFC3339)
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rawSamples := make([]int, 0)
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pageToken := ""
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for {
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res, err := s.query(metric, oldest, youngest, labels, pageToken)
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if err != nil {
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return 0, 0, err
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}
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retrieveRawSamples(res, &rawSamples)
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pageToken = res.NextPageToken
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if pageToken == "" {
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break
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}
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}
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count := len(rawSamples)
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if count == 0 {
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return 0, 0, nil
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}
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sort.Ints(rawSamples)
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usageIndex := int64(math.Ceil(float64(count)*9/10)) - 1
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usage := rawSamples[usageIndex]
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return int64(usage), int64(count), nil
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}
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