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grafana/pkg/tsdb/cloudwatch/response_parser_test.go

505 lines
16 KiB

package cloudwatch
import (
"encoding/json"
"os"
"path/filepath"
"testing"
"time"
"github.com/aws/aws-sdk-go/aws"
"github.com/aws/aws-sdk-go/service/cloudwatch"
"github.com/grafana/grafana/pkg/tsdb/cloudwatch/models"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func loadGetMetricDataOutputsFromFile(filePath string) ([]*cloudwatch.GetMetricDataOutput, error) {
var getMetricDataOutputs []*cloudwatch.GetMetricDataOutput
cleanFilePath := filepath.Clean(filePath)
jsonBody, err := os.ReadFile(cleanFilePath)
if err != nil {
return getMetricDataOutputs, err
}
err = json.Unmarshal(jsonBody, &getMetricDataOutputs)
return getMetricDataOutputs, err
}
func TestCloudWatchResponseParser(t *testing.T) {
t.Run("when aggregating multi-outputs response", func(t *testing.T) {
getMetricDataOutputs, err := loadGetMetricDataOutputsFromFile("./testdata/multiple-outputs-query-a.json")
require.NoError(t, err)
aggregatedResponse := aggregateResponse(getMetricDataOutputs)
idA := "a"
t.Run("should have two labels", func(t *testing.T) {
assert.Len(t, aggregatedResponse[idA].Metrics, 2)
})
t.Run("should have points for label1 taken from both getMetricDataOutputs", func(t *testing.T) {
require.NotNil(t, *aggregatedResponse[idA].Metrics[0].Label)
require.Equal(t, "label1", *aggregatedResponse[idA].Metrics[0].Label)
assert.Len(t, aggregatedResponse[idA].Metrics[0].Values, 10)
})
t.Run("should have statuscode 'Complete'", func(t *testing.T) {
assert.Equal(t, "Complete", aggregatedResponse[idA].StatusCode)
})
t.Run("should have exceeded request limit", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxMetricsExceeded"])
})
t.Run("should have exceeded query time range", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxQueryTimeRangeExceeded"])
})
t.Run("should have exceeded max query results", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxQueryResultsExceeded"])
})
t.Run("should have exceeded max matching results", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxMatchingResultsExceeded"])
})
})
t.Run("when aggregating multi-outputs response with PartialData and ArithmeticError", func(t *testing.T) {
getMetricDataOutputs, err := loadGetMetricDataOutputsFromFile("./testdata/multiple-outputs-query-b.json")
require.NoError(t, err)
aggregatedResponse := aggregateResponse(getMetricDataOutputs)
idB := "b"
t.Run("should have statuscode is 'PartialData'", func(t *testing.T) {
assert.Equal(t, "PartialData", aggregatedResponse[idB].StatusCode)
})
t.Run("should have an arithmetic error and an error message", func(t *testing.T) {
assert.True(t, aggregatedResponse[idB].HasArithmeticError)
assert.Equal(t, "One or more data-points have been dropped due to non-numeric values (NaN, -Infinite, +Infinite)", aggregatedResponse[idB].ArithmeticErrorMessage)
})
})
t.Run("when aggregating multi-outputs response", func(t *testing.T) {
getMetricDataOutputs, err := loadGetMetricDataOutputsFromFile("./testdata/single-output-multiple-metric-data-results.json")
require.NoError(t, err)
aggregatedResponse := aggregateResponse(getMetricDataOutputs)
idA := "a"
t.Run("should have one label", func(t *testing.T) {
assert.Len(t, aggregatedResponse[idA].Metrics, 1)
})
t.Run("should have points for label1 taken from both MetricDataResults", func(t *testing.T) {
require.NotNil(t, *aggregatedResponse[idA].Metrics[0].Label)
require.Equal(t, "label1", *aggregatedResponse[idA].Metrics[0].Label)
assert.Len(t, aggregatedResponse[idA].Metrics[0].Values, 6)
})
t.Run("should have statuscode 'Complete'", func(t *testing.T) {
assert.Equal(t, "Complete", aggregatedResponse[idA].StatusCode)
})
})
t.Run("when aggregating response and error codes are in first GetMetricDataOutput", func(t *testing.T) {
getMetricDataOutputs, err := loadGetMetricDataOutputsFromFile("./testdata/multiple-outputs2.json")
require.NoError(t, err)
aggregatedResponse := aggregateResponse(getMetricDataOutputs)
t.Run("response for id a", func(t *testing.T) {
idA := "a"
t.Run("should have exceeded request limit", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxMetricsExceeded"])
})
t.Run("should have exceeded query time range", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxQueryTimeRangeExceeded"])
})
t.Run("should have exceeded max query results", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxQueryResultsExceeded"])
})
t.Run("should have exceeded max matching results", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxMatchingResultsExceeded"])
})
})
})
t.Run("when aggregating response and error codes are in second GetMetricDataOutput", func(t *testing.T) {
getMetricDataOutputs, err := loadGetMetricDataOutputsFromFile("./testdata/multiple-outputs3.json")
require.NoError(t, err)
aggregatedResponse := aggregateResponse(getMetricDataOutputs)
t.Run("response for id a", func(t *testing.T) {
idA := "a"
idB := "b"
t.Run("should have exceeded request limit", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxMetricsExceeded"])
assert.True(t, aggregatedResponse[idB].ErrorCodes["MaxMetricsExceeded"])
})
t.Run("should have exceeded query time range", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxQueryTimeRangeExceeded"])
assert.True(t, aggregatedResponse[idB].ErrorCodes["MaxQueryTimeRangeExceeded"])
})
t.Run("should have exceeded max query results", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxQueryResultsExceeded"])
assert.True(t, aggregatedResponse[idB].ErrorCodes["MaxQueryResultsExceeded"])
})
t.Run("should have exceeded max matching results", func(t *testing.T) {
assert.True(t, aggregatedResponse[idA].ErrorCodes["MaxMatchingResultsExceeded"])
assert.True(t, aggregatedResponse[idB].ErrorCodes["MaxMatchingResultsExceeded"])
})
})
})
}
func Test_buildDataFrames_uses_response_label_as_frame_name(t *testing.T) {
startTime := time.Now()
endTime := startTime.Add(2 * time.Hour)
t.Run("using exact match", func(t *testing.T) {
timestamp := time.Unix(0, 0)
response := &models.QueryRowResponse{
Metrics: []*cloudwatch.MetricDataResult{
{
Id: aws.String("id1"),
Label: aws.String("lb1"),
Timestamps: []*time.Time{
aws.Time(timestamp),
aws.Time(timestamp.Add(time.Minute)),
aws.Time(timestamp.Add(3 * time.Minute)),
},
Values: []*float64{
aws.Float64(10),
aws.Float64(20),
aws.Float64(30),
},
StatusCode: aws.String("Complete"),
},
{
Id: aws.String("id2"),
Label: aws.String("lb2"),
Timestamps: []*time.Time{
aws.Time(timestamp),
aws.Time(timestamp.Add(time.Minute)),
aws.Time(timestamp.Add(3 * time.Minute)),
},
Values: []*float64{
aws.Float64(10),
aws.Float64(20),
aws.Float64(30),
},
StatusCode: aws.String("Complete"),
},
},
}
query := &models.CloudWatchQuery{
RefId: "refId1",
Region: "us-east-1",
Namespace: "AWS/ApplicationELB",
MetricName: "TargetResponseTime",
Dimensions: map[string][]string{
"LoadBalancer": {"lb1", "lb2"},
"TargetGroup": {"tg"},
},
Statistic: "Average",
Period: 60,
MetricQueryType: models.MetricQueryTypeSearch,
MetricEditorMode: models.MetricEditorModeBuilder,
}
frames, err := buildDataFrames(startTime, endTime, *response, query)
require.NoError(t, err)
frame1 := frames[0]
assert.Equal(t, "lb1", frame1.Name)
assert.Equal(t, "lb1", frame1.Fields[1].Labels["LoadBalancer"])
frame2 := frames[1]
assert.Equal(t, "lb2", frame2.Name)
assert.Equal(t, "lb2", frame2.Fields[1].Labels["LoadBalancer"])
})
t.Run("using wildcard", func(t *testing.T) {
timestamp := time.Unix(0, 0)
response := &models.QueryRowResponse{
Metrics: []*cloudwatch.MetricDataResult{
{
Id: aws.String("lb3"),
Label: aws.String("some label lb3"),
Timestamps: []*time.Time{
aws.Time(timestamp),
aws.Time(timestamp.Add(time.Minute)),
aws.Time(timestamp.Add(3 * time.Minute)),
},
Values: []*float64{
aws.Float64(10),
aws.Float64(20),
aws.Float64(30),
},
StatusCode: aws.String("Complete"),
},
{
Id: aws.String("lb4"),
Label: aws.String("some label lb4"),
Timestamps: []*time.Time{
aws.Time(timestamp),
aws.Time(timestamp.Add(time.Minute)),
aws.Time(timestamp.Add(3 * time.Minute)),
},
Values: []*float64{
aws.Float64(10),
aws.Float64(20),
aws.Float64(30),
},
StatusCode: aws.String("Complete"),
},
},
}
query := &models.CloudWatchQuery{
RefId: "refId1",
Region: "us-east-1",
Namespace: "AWS/ApplicationELB",
MetricName: "TargetResponseTime",
Dimensions: map[string][]string{
"LoadBalancer": {"*"},
"TargetGroup": {"tg"},
},
Statistic: "Average",
Period: 60,
MetricQueryType: models.MetricQueryTypeSearch,
MetricEditorMode: models.MetricEditorModeBuilder,
}
frames, err := buildDataFrames(startTime, endTime, *response, query)
require.NoError(t, err)
assert.Equal(t, "some label lb3", frames[0].Name)
assert.Equal(t, "some label lb4", frames[1].Name)
})
t.Run("when no values are returned and a multi-valued template variable is used", func(t *testing.T) {
timestamp := time.Unix(0, 0)
response := &models.QueryRowResponse{
Metrics: []*cloudwatch.MetricDataResult{
{
Id: aws.String("lb3"),
Label: aws.String("some label"),
Timestamps: []*time.Time{
aws.Time(timestamp),
aws.Time(timestamp.Add(time.Minute)),
aws.Time(timestamp.Add(3 * time.Minute)),
},
Values: []*float64{},
StatusCode: aws.String("Complete"),
},
},
}
query := &models.CloudWatchQuery{
RefId: "refId1",
Region: "us-east-1",
Namespace: "AWS/ApplicationELB",
MetricName: "TargetResponseTime",
Dimensions: map[string][]string{
"LoadBalancer": {"lb1", "lb2"},
},
Statistic: "Average",
Period: 60,
MetricQueryType: models.MetricQueryTypeSearch,
MetricEditorMode: models.MetricEditorModeBuilder,
}
frames, err := buildDataFrames(startTime, endTime, *response, query)
require.NoError(t, err)
assert.Len(t, frames, 2)
assert.Equal(t, "some label", frames[0].Name)
assert.Equal(t, "some label", frames[1].Name)
})
t.Run("when no values are returned and a multi-valued template variable and two single-valued dimensions are used", func(t *testing.T) {
timestamp := time.Unix(0, 0)
response := &models.QueryRowResponse{
Metrics: []*cloudwatch.MetricDataResult{
{
Id: aws.String("lb3"),
Label: aws.String("some label"),
Timestamps: []*time.Time{
aws.Time(timestamp),
aws.Time(timestamp.Add(time.Minute)),
aws.Time(timestamp.Add(3 * time.Minute)),
},
Values: []*float64{},
StatusCode: aws.String("Complete"),
},
},
}
query := &models.CloudWatchQuery{
RefId: "refId1",
Region: "us-east-1",
Namespace: "AWS/ApplicationELB",
MetricName: "TargetResponseTime",
Dimensions: map[string][]string{
"LoadBalancer": {"lb1", "lb2"},
"InstanceType": {"micro"},
"Resource": {"res"},
},
Statistic: "Average",
Period: 60,
MetricQueryType: models.MetricQueryTypeSearch,
MetricEditorMode: models.MetricEditorModeBuilder,
}
frames, err := buildDataFrames(startTime, endTime, *response, query)
require.NoError(t, err)
assert.Len(t, frames, 2)
assert.Equal(t, "some label", frames[0].Name)
assert.Equal(t, "some label", frames[1].Name)
})
t.Run("when using SQL queries", func(t *testing.T) {
timestamp := time.Unix(0, 0)
response := &models.QueryRowResponse{
Metrics: []*cloudwatch.MetricDataResult{
{
Id: aws.String("lb3"),
Label: aws.String("some label"),
Timestamps: []*time.Time{
aws.Time(timestamp),
},
Values: []*float64{aws.Float64(23)},
StatusCode: aws.String("Complete"),
},
},
}
query := &models.CloudWatchQuery{
RefId: "refId1",
Region: "us-east-1",
Namespace: "AWS/ApplicationELB",
MetricName: "TargetResponseTime",
Dimensions: map[string][]string{
"LoadBalancer": {"lb1"},
"InstanceType": {"micro"},
"Resource": {"res"},
},
Statistic: "Average",
Period: 60,
MetricQueryType: models.MetricQueryTypeQuery,
MetricEditorMode: models.MetricEditorModeRaw,
}
frames, err := buildDataFrames(startTime, endTime, *response, query)
require.NoError(t, err)
assert.Equal(t, "some label", frames[0].Name)
})
t.Run("when non-static label set on query", func(t *testing.T) {
timestamp := time.Unix(0, 0)
response := &models.QueryRowResponse{
Metrics: []*cloudwatch.MetricDataResult{
{
Id: aws.String("lb3"),
Label: aws.String("some label"),
Timestamps: []*time.Time{
aws.Time(timestamp),
},
Values: []*float64{aws.Float64(23)},
StatusCode: aws.String("Complete"),
},
},
}
query := &models.CloudWatchQuery{
RefId: "refId1",
Region: "us-east-1",
Namespace: "AWS/ApplicationELB",
MetricName: "TargetResponseTime",
Dimensions: map[string][]string{
"LoadBalancer": {"lb1"},
"InstanceType": {"micro"},
"Resource": {"res"},
},
Statistic: "Average",
Period: 60,
MetricQueryType: models.MetricQueryTypeQuery,
MetricEditorMode: models.MetricEditorModeBuilder,
Label: "set ${AVG} label",
}
frames, err := buildDataFrames(startTime, endTime, *response, query)
require.NoError(t, err)
assert.Equal(t, "some label", frames[0].Name)
})
t.Run("unless static label set on query", func(t *testing.T) {
timestamp := time.Unix(0, 0)
response := &models.QueryRowResponse{
Metrics: []*cloudwatch.MetricDataResult{
{
Id: aws.String("lb3"),
Label: aws.String("some label"),
Timestamps: []*time.Time{
aws.Time(timestamp),
},
Values: []*float64{aws.Float64(23)},
StatusCode: aws.String("Complete"),
},
},
}
query := &models.CloudWatchQuery{
RefId: "refId1",
Region: "us-east-1",
Namespace: "AWS/ApplicationELB",
MetricName: "TargetResponseTime",
Dimensions: map[string][]string{
"LoadBalancer": {"lb1"},
"InstanceType": {"micro"},
"Resource": {"res"},
},
Statistic: "Average",
Period: 60,
MetricQueryType: models.MetricQueryTypeQuery,
MetricEditorMode: models.MetricEditorModeBuilder,
Label: "actual",
}
frames, err := buildDataFrames(startTime, endTime, *response, query)
require.NoError(t, err)
assert.Equal(t, "actual", frames[0].Name)
})
t.Run("Parse cloudwatch response", func(t *testing.T) {
timestamp := time.Unix(0, 0)
response := &models.QueryRowResponse{
Metrics: []*cloudwatch.MetricDataResult{
{
Id: aws.String("id1"),
Label: aws.String("some label"),
Timestamps: []*time.Time{
aws.Time(timestamp),
aws.Time(timestamp.Add(time.Minute)),
aws.Time(timestamp.Add(3 * time.Minute)),
},
Values: []*float64{
aws.Float64(10),
aws.Float64(20),
aws.Float64(30),
},
StatusCode: aws.String("Complete"),
},
},
}
query := &models.CloudWatchQuery{
RefId: "refId1",
Region: "us-east-1",
Namespace: "AWS/ApplicationELB",
MetricName: "TargetResponseTime",
Dimensions: map[string][]string{
"LoadBalancer": {"lb"},
"TargetGroup": {"tg"},
},
Statistic: "Average",
Period: 60,
MetricQueryType: models.MetricQueryTypeSearch,
MetricEditorMode: models.MetricEditorModeBuilder,
}
frames, err := buildDataFrames(startTime, endTime, *response, query)
require.NoError(t, err)
frame := frames[0]
assert.Equal(t, "some label", frame.Name)
assert.Equal(t, "Time", frame.Fields[0].Name)
assert.Equal(t, "lb", frame.Fields[1].Labels["LoadBalancer"])
assert.Equal(t, 10.0, *frame.Fields[1].At(0).(*float64))
assert.Equal(t, 20.0, *frame.Fields[1].At(1).(*float64))
assert.Equal(t, 30.0, *frame.Fields[1].At(2).(*float64))
assert.Equal(t, "Value", frame.Fields[1].Name)
assert.Equal(t, "", frame.Fields[1].Config.DisplayName)
})
}