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Merge pull request #45094 from aleksandra-malinowska/stackdriver-monitoring-test-debug

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Automatic merge from submit-queue

Stackdriver test fix

Extend timeout & add logging missing metrics
This commit is contained in:
Kubernetes Submit Queue 2017-04-28 19:18:29 -07:00 committed by GitHub
commit c6f0939a87
1 changed files with 19 additions and 4 deletions
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23
test/e2e/stackdriver_monitoring.go
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@ -48,7 +48,7 @@ var (
}
pollFrequency = time.Second * 5
pollTimeout = time.Minute * 7
pollTimeout = time.Minute * 20
rcName = "resource-consumer"
replicas = 1
@ -79,22 +79,34 @@ var _ = framework.KubeDescribe("Stackdriver Monitoring", func() {
rc.WaitForReplicas(replicas)
pollingFunction := checkForMetrics(projectId, gcmService, time.Now())
framework.ExpectNoError(wait.Poll(pollFrequency, pollTimeout, pollingFunction))
metricsMap := map[string]bool{}
pollingFunction := checkForMetrics(projectId, gcmService, time.Now(), metricsMap)
err = wait.Poll(pollFrequency, pollTimeout, pollingFunction)
if err != nil {
framework.Logf("Missing metrics: %+v\n", metricsMap)
}
framework.ExpectNoError(err)
})
})
func checkForMetrics(projectId string, gcmService *gcm.Service, start time.Time) func() (bool, error) {
func checkForMetrics(projectId string, gcmService *gcm.Service, start time.Time, metricsMap map[string]bool) func() (bool, error) {
return func() (bool, error) {
// TODO: list which metrics are missing in case of failure
counter := 0
correctUtilization := false
for _, metric := range stackdriverMetrics {
metricsMap[metric] = false
}
for _, metric := range stackdriverMetrics {
// TODO: check only for metrics from this cluster
ts, err := fetchTimeSeries(projectId, gcmService, metric, start, time.Now())
framework.ExpectNoError(err)
if len(ts) > 0 {
counter = counter + 1
metricsMap[metric] = true
framework.Logf("Received %v timeseries for metric %v\n", len(ts), metric)
} else {
framework.Logf("No timeseries for metric %v\n", metric)
}
var sum float64 = 0
@ -111,7 +123,10 @@ func checkForMetrics(projectId string, gcmService *gcm.Service, start time.Time)
}
}
sum = sum + *max.Value.DoubleValue
framework.Logf("Received %v points for metric %v\n",
len(t.Points), metric)
}
framework.Logf("Most recent cpu/utilization sum: %v\n", sum)
if math.Abs(sum*float64(cpuLimit)-float64(cpuUsed)) > tolerance*float64(cpuUsed) {
return false, nil
} else {