grafana/pkg/tsdb/cloudwatch/response_parser_test.go
2020-09-08 15:06:58 +02:00

321 lines
9.3 KiB
Go

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