open-vault/helper/metricsutil/wrapped_metrics_test.go

112 lines
3.2 KiB
Go

package metricsutil
import (
"testing"
"time"
"github.com/armon/go-metrics"
)
func isLabelPresent(toFind Label, ls []Label) bool {
for _, l := range ls {
if l == toFind {
return true
}
}
return false
}
// We can use a sink directly, or wrap the top-level
// go-metrics implementation for testing purposes.
func defaultMetrics(sink metrics.MetricSink) *metrics.Metrics {
// No service name
config := metrics.DefaultConfig("")
// No host name
config.EnableHostname = false
m, _ := metrics.New(config, sink)
return m
}
func TestClusterLabelPresent(t *testing.T) {
testClusterName := "test-cluster"
// Use a ridiculously long time to minimize the chance
// that we have to deal with more than one interval.
// InMemSink rounds down to an interval boundary rather than
// starting one at the time of initialization.
inmemSink := metrics.NewInmemSink(
1000000*time.Hour,
2000000*time.Hour)
clusterSink := NewClusterMetricSink(testClusterName, defaultMetrics(inmemSink))
key1 := []string{"aaa", "bbb"}
key2 := []string{"ccc", "ddd"}
key3 := []string{"eee", "fff"}
labels1 := []Label{{"dim1", "val1"}}
labels2 := []Label{{"dim2", "val2"}}
labels3 := []Label{{"dim3", "val3"}}
clusterLabel := Label{"cluster", testClusterName}
expectedKey1 := "aaa.bbb;dim1=val1;cluster=" + testClusterName
expectedKey2 := "ccc.ddd;dim2=val2;cluster=" + testClusterName
expectedKey3 := "eee.fff;dim3=val3;cluster=" + testClusterName
clusterSink.SetGaugeWithLabels(key1, 1.0, labels1)
clusterSink.IncrCounterWithLabels(key2, 2.0, labels2)
clusterSink.AddSampleWithLabels(key3, 3.0, labels3)
intervals := inmemSink.Data()
// If we start very close to the end of an interval, then our metrics might be
// split across two different buckets. We won't write the code to try to handle that.
// 100000-hours = at most once every 4167 days
if len(intervals) > 1 {
t.Skip("Detected interval crossing.")
}
// Check Gauge
g, ok := intervals[0].Gauges[expectedKey1]
if !ok {
t.Fatal("Key", expectedKey1, "not found in map", intervals[0].Gauges)
}
if g.Value != 1.0 {
t.Error("Gauge value", g.Value, "does not match", 1.0)
}
if !isLabelPresent(labels1[0], g.Labels) {
t.Error("Gauge label", g.Labels, "does not include", labels1)
}
if !isLabelPresent(clusterLabel, g.Labels) {
t.Error("Gauge label", g.Labels, "does not include", clusterLabel)
}
// Check Counter
c, ok := intervals[0].Counters[expectedKey2]
if !ok {
t.Fatal("Key", expectedKey2, "not found in map", intervals[0].Counters)
}
if c.Sum != 2.0 {
t.Error("Counter value", c.Sum, "does not match", 2.0)
}
if !isLabelPresent(labels2[0], c.Labels) {
t.Error("Counter label", c.Labels, "does not include", labels2)
}
if !isLabelPresent(clusterLabel, c.Labels) {
t.Error("Counter label", c.Labels, "does not include", clusterLabel)
}
// Check Sample
s, ok := intervals[0].Samples[expectedKey3]
if !ok {
t.Fatal("Key", expectedKey3, "not found in map", intervals[0].Samples)
}
if s.Sum != 3.0 {
t.Error("Sample value", s.Sum, "does not match", 3.0)
}
if !isLabelPresent(labels3[0], s.Labels) {
t.Error("Sample label", s.Labels, "does not include", labels3)
}
if !isLabelPresent(clusterLabel, s.Labels) {
t.Error("Sample label", s.Labels, "does not include", clusterLabel)
}
}