2016-03-25 22:16:23 +00:00
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package cloudwatch
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import (
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"testing"
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"time"
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"github.com/aws/aws-sdk-go/aws"
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"github.com/aws/aws-sdk-go/service/cloudwatch"
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"github.com/influxdata/telegraf/internal"
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"github.com/influxdata/telegraf/testutil"
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"github.com/stretchr/testify/assert"
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)
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2016-12-13 14:13:53 +00:00
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type mockGatherCloudWatchClient struct{}
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2016-03-25 22:16:23 +00:00
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2016-12-13 14:13:53 +00:00
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func (m *mockGatherCloudWatchClient) ListMetrics(params *cloudwatch.ListMetricsInput) (*cloudwatch.ListMetricsOutput, error) {
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2016-03-25 22:16:23 +00:00
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metric := &cloudwatch.Metric{
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Namespace: params.Namespace,
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MetricName: aws.String("Latency"),
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Dimensions: []*cloudwatch.Dimension{
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&cloudwatch.Dimension{
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Name: aws.String("LoadBalancerName"),
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Value: aws.String("p-example"),
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},
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},
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}
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result := &cloudwatch.ListMetricsOutput{
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Metrics: []*cloudwatch.Metric{metric},
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}
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return result, nil
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}
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2016-12-13 14:13:53 +00:00
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func (m *mockGatherCloudWatchClient) GetMetricStatistics(params *cloudwatch.GetMetricStatisticsInput) (*cloudwatch.GetMetricStatisticsOutput, error) {
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2016-03-25 22:16:23 +00:00
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dataPoint := &cloudwatch.Datapoint{
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Timestamp: params.EndTime,
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Minimum: aws.Float64(0.1),
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Maximum: aws.Float64(0.3),
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Average: aws.Float64(0.2),
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Sum: aws.Float64(123),
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SampleCount: aws.Float64(100),
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Unit: aws.String("Seconds"),
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}
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result := &cloudwatch.GetMetricStatisticsOutput{
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Label: aws.String("Latency"),
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Datapoints: []*cloudwatch.Datapoint{dataPoint},
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}
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return result, nil
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}
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func TestGather(t *testing.T) {
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duration, _ := time.ParseDuration("1m")
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internalDuration := internal.Duration{
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Duration: duration,
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}
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c := &CloudWatch{
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Region: "us-east-1",
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Namespace: "AWS/ELB",
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Delay: internalDuration,
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Period: internalDuration,
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2017-03-15 22:20:18 +00:00
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RateLimit: 200,
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2016-03-25 22:16:23 +00:00
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}
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var acc testutil.Accumulator
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2016-12-13 14:13:53 +00:00
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c.client = &mockGatherCloudWatchClient{}
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2016-03-25 22:16:23 +00:00
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2017-04-24 18:13:26 +00:00
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acc.GatherError(c.Gather)
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2016-03-25 22:16:23 +00:00
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fields := map[string]interface{}{}
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fields["latency_minimum"] = 0.1
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fields["latency_maximum"] = 0.3
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fields["latency_average"] = 0.2
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fields["latency_sum"] = 123.0
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fields["latency_sample_count"] = 100.0
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tags := map[string]string{}
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tags["unit"] = "seconds"
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tags["region"] = "us-east-1"
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tags["load_balancer_name"] = "p-example"
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assert.True(t, acc.HasMeasurement("cloudwatch_aws_elb"))
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acc.AssertContainsTaggedFields(t, "cloudwatch_aws_elb", fields, tags)
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}
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2016-12-13 14:13:53 +00:00
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type mockSelectMetricsCloudWatchClient struct{}
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func (m *mockSelectMetricsCloudWatchClient) ListMetrics(params *cloudwatch.ListMetricsInput) (*cloudwatch.ListMetricsOutput, error) {
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metrics := []*cloudwatch.Metric{}
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// 4 metrics are available
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metricNames := []string{"Latency", "RequestCount", "HealthyHostCount", "UnHealthyHostCount"}
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// for 3 ELBs
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loadBalancers := []string{"lb-1", "lb-2", "lb-3"}
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// in 2 AZs
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availabilityZones := []string{"us-east-1a", "us-east-1b"}
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for _, m := range metricNames {
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for _, lb := range loadBalancers {
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// For each metric/ELB pair, we get an aggregate value across all AZs.
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metrics = append(metrics, &cloudwatch.Metric{
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Namespace: aws.String("AWS/ELB"),
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MetricName: aws.String(m),
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Dimensions: []*cloudwatch.Dimension{
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&cloudwatch.Dimension{
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Name: aws.String("LoadBalancerName"),
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Value: aws.String(lb),
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},
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},
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})
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for _, az := range availabilityZones {
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// We get a metric for each metric/ELB/AZ triplet.
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metrics = append(metrics, &cloudwatch.Metric{
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Namespace: aws.String("AWS/ELB"),
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MetricName: aws.String(m),
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Dimensions: []*cloudwatch.Dimension{
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&cloudwatch.Dimension{
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Name: aws.String("LoadBalancerName"),
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Value: aws.String(lb),
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},
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&cloudwatch.Dimension{
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Name: aws.String("AvailabilityZone"),
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Value: aws.String(az),
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},
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},
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})
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}
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}
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}
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result := &cloudwatch.ListMetricsOutput{
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Metrics: metrics,
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}
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return result, nil
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}
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func (m *mockSelectMetricsCloudWatchClient) GetMetricStatistics(params *cloudwatch.GetMetricStatisticsInput) (*cloudwatch.GetMetricStatisticsOutput, error) {
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return nil, nil
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}
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func TestSelectMetrics(t *testing.T) {
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duration, _ := time.ParseDuration("1m")
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internalDuration := internal.Duration{
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Duration: duration,
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}
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c := &CloudWatch{
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Region: "us-east-1",
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Namespace: "AWS/ELB",
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Delay: internalDuration,
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Period: internalDuration,
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2017-03-15 22:20:18 +00:00
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RateLimit: 200,
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2016-12-13 14:13:53 +00:00
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Metrics: []*Metric{
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&Metric{
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MetricNames: []string{"Latency", "RequestCount"},
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Dimensions: []*Dimension{
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&Dimension{
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Name: "LoadBalancerName",
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Value: "*",
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},
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&Dimension{
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Name: "AvailabilityZone",
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Value: "*",
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},
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},
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},
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},
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}
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c.client = &mockSelectMetricsCloudWatchClient{}
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metrics, err := SelectMetrics(c)
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// We've asked for 2 (out of 4) metrics, over all 3 load balancers in all 2
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// AZs. We should get 12 metrics.
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assert.Equal(t, 12, len(metrics))
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assert.Nil(t, err)
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}
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2016-03-25 22:16:23 +00:00
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func TestGenerateStatisticsInputParams(t *testing.T) {
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d := &cloudwatch.Dimension{
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Name: aws.String("LoadBalancerName"),
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Value: aws.String("p-example"),
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}
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m := &cloudwatch.Metric{
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MetricName: aws.String("Latency"),
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Dimensions: []*cloudwatch.Dimension{d},
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}
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duration, _ := time.ParseDuration("1m")
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internalDuration := internal.Duration{
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Duration: duration,
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}
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c := &CloudWatch{
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Namespace: "AWS/ELB",
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Delay: internalDuration,
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Period: internalDuration,
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}
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c.initializeCloudWatch()
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now := time.Now()
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params := c.getStatisticsInput(m, now)
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assert.EqualValues(t, *params.EndTime, now.Add(-c.Delay.Duration))
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assert.EqualValues(t, *params.StartTime, now.Add(-c.Period.Duration).Add(-c.Delay.Duration))
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assert.Len(t, params.Dimensions, 1)
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assert.Len(t, params.Statistics, 5)
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assert.EqualValues(t, *params.Period, 60)
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}
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func TestMetricsCacheTimeout(t *testing.T) {
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cache := &MetricCache{
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Metrics: []*cloudwatch.Metric{},
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Fetched: time.Now(),
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2017-03-24 19:03:36 +00:00
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TTL: time.Minute,
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2016-03-25 22:16:23 +00:00
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}
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assert.True(t, cache.IsValid())
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2017-03-24 19:03:36 +00:00
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cache.Fetched = time.Now().Add(-time.Minute)
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2016-03-25 22:16:23 +00:00
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assert.False(t, cache.IsValid())
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}
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