mirror of
https://github.com/grafana/grafana.git
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581d2eaaf4
This reverts commit 7762839853
.
321 lines
9.3 KiB
Go
321 lines
9.3 KiB
Go
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/grafana/grafana/pkg/components/null"
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. "github.com/smartystreets/goconvey/convey"
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)
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func TestCloudWatchResponseParser(t *testing.T) {
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Convey("TestCloudWatchResponseParser", t, func() {
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Convey("can expand dimension value using exact match", func() {
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timestamp := time.Unix(0, 0)
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labels := []string{"lb1", "lb2"}
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mdrs := map[string]*cloudwatch.MetricDataResult{
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"lb1": {
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Id: aws.String("id1"),
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Label: aws.String("lb1"),
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Timestamps: []*time.Time{
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aws.Time(timestamp),
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aws.Time(timestamp.Add(60 * time.Second)),
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aws.Time(timestamp.Add(180 * time.Second)),
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},
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Values: []*float64{
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aws.Float64(10),
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aws.Float64(20),
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aws.Float64(30),
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},
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StatusCode: aws.String("Complete"),
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},
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"lb2": {
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Id: aws.String("id2"),
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Label: aws.String("lb2"),
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Timestamps: []*time.Time{
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aws.Time(timestamp),
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aws.Time(timestamp.Add(60 * time.Second)),
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aws.Time(timestamp.Add(180 * time.Second)),
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},
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Values: []*float64{
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aws.Float64(10),
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aws.Float64(20),
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aws.Float64(30),
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},
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StatusCode: aws.String("Complete"),
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},
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}
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query := &cloudWatchQuery{
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RefId: "refId1",
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Region: "us-east-1",
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Namespace: "AWS/ApplicationELB",
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MetricName: "TargetResponseTime",
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Dimensions: map[string][]string{
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"LoadBalancer": {"lb1", "lb2"},
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"TargetGroup": {"tg"},
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},
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Stats: "Average",
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Period: 60,
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Alias: "{{LoadBalancer}} Expanded",
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}
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series, partialData, err := parseGetMetricDataTimeSeries(mdrs, labels, query)
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timeSeries := (*series)[0]
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So(err, ShouldBeNil)
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So(partialData, ShouldBeFalse)
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So(timeSeries.Name, ShouldEqual, "lb1 Expanded")
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So(timeSeries.Tags["LoadBalancer"], ShouldEqual, "lb1")
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timeSeries2 := (*series)[1]
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So(timeSeries2.Name, ShouldEqual, "lb2 Expanded")
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So(timeSeries2.Tags["LoadBalancer"], ShouldEqual, "lb2")
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})
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Convey("can expand dimension value using substring", func() {
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timestamp := time.Unix(0, 0)
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labels := []string{"lb1 Sum", "lb2 Average"}
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mdrs := map[string]*cloudwatch.MetricDataResult{
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"lb1 Sum": {
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Id: aws.String("id1"),
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Label: aws.String("lb1 Sum"),
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Timestamps: []*time.Time{
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aws.Time(timestamp),
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aws.Time(timestamp.Add(60 * time.Second)),
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aws.Time(timestamp.Add(180 * time.Second)),
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},
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Values: []*float64{
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aws.Float64(10),
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aws.Float64(20),
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aws.Float64(30),
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},
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StatusCode: aws.String("Complete"),
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},
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"lb2 Average": {
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Id: aws.String("id2"),
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Label: aws.String("lb2 Average"),
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Timestamps: []*time.Time{
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aws.Time(timestamp),
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aws.Time(timestamp.Add(60 * time.Second)),
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aws.Time(timestamp.Add(180 * time.Second)),
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},
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Values: []*float64{
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aws.Float64(10),
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aws.Float64(20),
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aws.Float64(30),
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},
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StatusCode: aws.String("Complete"),
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},
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}
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query := &cloudWatchQuery{
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RefId: "refId1",
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Region: "us-east-1",
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Namespace: "AWS/ApplicationELB",
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MetricName: "TargetResponseTime",
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Dimensions: map[string][]string{
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"LoadBalancer": {"lb1", "lb2"},
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"TargetGroup": {"tg"},
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},
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Stats: "Average",
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Period: 60,
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Alias: "{{LoadBalancer}} Expanded",
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}
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series, partialData, err := parseGetMetricDataTimeSeries(mdrs, labels, query)
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timeSeries := (*series)[0]
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So(err, ShouldBeNil)
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So(partialData, ShouldBeFalse)
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So(timeSeries.Name, ShouldEqual, "lb1 Expanded")
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So(timeSeries.Tags["LoadBalancer"], ShouldEqual, "lb1")
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timeSeries2 := (*series)[1]
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So(timeSeries2.Name, ShouldEqual, "lb2 Expanded")
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So(timeSeries2.Tags["LoadBalancer"], ShouldEqual, "lb2")
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})
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Convey("can expand dimension value using wildcard", func() {
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timestamp := time.Unix(0, 0)
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labels := []string{"lb3", "lb4"}
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mdrs := map[string]*cloudwatch.MetricDataResult{
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"lb3": {
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Id: aws.String("lb3"),
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Label: aws.String("lb3"),
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Timestamps: []*time.Time{
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aws.Time(timestamp),
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aws.Time(timestamp.Add(60 * time.Second)),
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aws.Time(timestamp.Add(180 * time.Second)),
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},
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Values: []*float64{
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aws.Float64(10),
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aws.Float64(20),
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aws.Float64(30),
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},
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StatusCode: aws.String("Complete"),
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},
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"lb4": {
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Id: aws.String("lb4"),
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Label: aws.String("lb4"),
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Timestamps: []*time.Time{
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aws.Time(timestamp),
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aws.Time(timestamp.Add(60 * time.Second)),
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aws.Time(timestamp.Add(180 * time.Second)),
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},
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Values: []*float64{
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aws.Float64(10),
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aws.Float64(20),
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aws.Float64(30),
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},
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StatusCode: aws.String("Complete"),
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},
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}
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query := &cloudWatchQuery{
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RefId: "refId1",
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Region: "us-east-1",
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Namespace: "AWS/ApplicationELB",
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MetricName: "TargetResponseTime",
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Dimensions: map[string][]string{
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"LoadBalancer": {"*"},
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"TargetGroup": {"tg"},
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},
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Stats: "Average",
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Period: 60,
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Alias: "{{LoadBalancer}} Expanded",
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}
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series, partialData, err := parseGetMetricDataTimeSeries(mdrs, labels, query)
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So(err, ShouldBeNil)
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So(partialData, ShouldBeFalse)
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So((*series)[0].Name, ShouldEqual, "lb3 Expanded")
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So((*series)[1].Name, ShouldEqual, "lb4 Expanded")
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})
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Convey("can expand dimension value when no values are returned and a multi-valued template variable is used", func() {
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timestamp := time.Unix(0, 0)
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labels := []string{"lb3"}
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mdrs := map[string]*cloudwatch.MetricDataResult{
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"lb3": {
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Id: aws.String("lb3"),
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Label: aws.String("lb3"),
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Timestamps: []*time.Time{
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aws.Time(timestamp),
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aws.Time(timestamp.Add(60 * time.Second)),
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aws.Time(timestamp.Add(180 * time.Second)),
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},
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Values: []*float64{},
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StatusCode: aws.String("Complete"),
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},
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}
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query := &cloudWatchQuery{
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RefId: "refId1",
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Region: "us-east-1",
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Namespace: "AWS/ApplicationELB",
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MetricName: "TargetResponseTime",
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Dimensions: map[string][]string{
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"LoadBalancer": {"lb1", "lb2"},
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},
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Stats: "Average",
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Period: 60,
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Alias: "{{LoadBalancer}} Expanded",
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}
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series, partialData, err := parseGetMetricDataTimeSeries(mdrs, labels, query)
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So(err, ShouldBeNil)
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So(partialData, ShouldBeFalse)
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So(len(*series), ShouldEqual, 2)
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So((*series)[0].Name, ShouldEqual, "lb1 Expanded")
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So((*series)[1].Name, ShouldEqual, "lb2 Expanded")
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})
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Convey("can expand dimension value when no values are returned and a multi-valued template variable and two single-valued dimensions are used", func() {
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timestamp := time.Unix(0, 0)
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labels := []string{"lb3"}
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mdrs := map[string]*cloudwatch.MetricDataResult{
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"lb3": {
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Id: aws.String("lb3"),
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Label: aws.String("lb3"),
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Timestamps: []*time.Time{
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aws.Time(timestamp),
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aws.Time(timestamp.Add(60 * time.Second)),
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aws.Time(timestamp.Add(180 * time.Second)),
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},
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Values: []*float64{},
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StatusCode: aws.String("Complete"),
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},
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}
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query := &cloudWatchQuery{
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RefId: "refId1",
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Region: "us-east-1",
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Namespace: "AWS/ApplicationELB",
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MetricName: "TargetResponseTime",
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Dimensions: map[string][]string{
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"LoadBalancer": {"lb1", "lb2"},
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"InstanceType": {"micro"},
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"Resource": {"res"},
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},
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Stats: "Average",
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Period: 60,
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Alias: "{{LoadBalancer}} Expanded {{InstanceType}} - {{Resource}}",
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}
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series, partialData, err := parseGetMetricDataTimeSeries(mdrs, labels, query)
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So(err, ShouldBeNil)
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So(partialData, ShouldBeFalse)
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So(len(*series), ShouldEqual, 2)
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So((*series)[0].Name, ShouldEqual, "lb1 Expanded micro - res")
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So((*series)[1].Name, ShouldEqual, "lb2 Expanded micro - res")
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})
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Convey("can parse cloudwatch response", func() {
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timestamp := time.Unix(0, 0)
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labels := []string{"lb"}
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mdrs := map[string]*cloudwatch.MetricDataResult{
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"lb": {
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Id: aws.String("id1"),
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Label: aws.String("lb"),
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Timestamps: []*time.Time{
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aws.Time(timestamp),
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aws.Time(timestamp.Add(60 * time.Second)),
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aws.Time(timestamp.Add(180 * time.Second)),
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},
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Values: []*float64{
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aws.Float64(10),
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aws.Float64(20),
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aws.Float64(30),
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},
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StatusCode: aws.String("Complete"),
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},
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}
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query := &cloudWatchQuery{
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RefId: "refId1",
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Region: "us-east-1",
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Namespace: "AWS/ApplicationELB",
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MetricName: "TargetResponseTime",
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Dimensions: map[string][]string{
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"LoadBalancer": {"lb"},
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"TargetGroup": {"tg"},
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},
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Stats: "Average",
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Period: 60,
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Alias: "{{namespace}}_{{metric}}_{{stat}}",
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}
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series, partialData, err := parseGetMetricDataTimeSeries(mdrs, labels, query)
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timeSeries := (*series)[0]
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So(err, ShouldBeNil)
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So(partialData, ShouldBeFalse)
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So(timeSeries.Name, ShouldEqual, "AWS/ApplicationELB_TargetResponseTime_Average")
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So(timeSeries.Tags["LoadBalancer"], ShouldEqual, "lb")
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So(timeSeries.Points[0][0].String(), ShouldEqual, null.FloatFrom(10.0).String())
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So(timeSeries.Points[1][0].String(), ShouldEqual, null.FloatFrom(20.0).String())
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So(timeSeries.Points[2][0].String(), ShouldEqual, null.FloatFromPtr(nil).String())
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So(timeSeries.Points[3][0].String(), ShouldEqual, null.FloatFrom(30.0).String())
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})
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})
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}
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