The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 
grafana/pkg/tsdb/cloudwatch/annotation_query.go

204 lines
5.5 KiB

package cloudwatch
import (
"context"
"errors"
"fmt"
"strconv"
"time"
"github.com/aws/aws-sdk-go/aws"
"github.com/aws/aws-sdk-go/service/cloudwatch"
"github.com/grafana/grafana-plugin-sdk-go/backend"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana/pkg/tsdb/cloudwatch/kinds/dataquery"
)
type annotationEvent struct {
Title string
Time time.Time
Tags string
Text string
}
func (e *cloudWatchExecutor) executeAnnotationQuery(ctx context.Context, pluginCtx backend.PluginContext, model DataQueryJson, query backend.DataQuery) (*backend.QueryDataResponse, error) {
result := backend.NewQueryDataResponse()
statistic := ""
if model.Statistic != nil {
statistic = *model.Statistic
}
var period int64
if model.Period != nil && *model.Period != "" {
p, err := strconv.ParseInt(*model.Period, 10, 64)
if err != nil {
return nil, backend.DownstreamError(fmt.Errorf("query period must be an int"))
}
period = p
}
prefixMatching := false
if model.PrefixMatching != nil {
prefixMatching = *model.PrefixMatching
}
if period == 0 && !prefixMatching {
period = 300
}
actionPrefix := model.ActionPrefix
alarmNamePrefix := model.AlarmNamePrefix
cli, err := e.getCWClient(ctx, pluginCtx, model.Region)
if err != nil {
result.Responses[query.RefID] = backend.ErrorResponseWithErrorSource(fmt.Errorf("%v: %w", "failed to get client", err))
return result, nil
}
var alarmNames []*string
metricName := ""
if model.MetricName != nil {
metricName = *model.MetricName
}
dimensions := dataquery.Dimensions{}
if model.Dimensions != nil {
dimensions = *model.Dimensions
}
if prefixMatching {
params := &cloudwatch.DescribeAlarmsInput{
MaxRecords: aws.Int64(100),
ActionPrefix: actionPrefix,
AlarmNamePrefix: alarmNamePrefix,
}
resp, err := cli.DescribeAlarms(params)
if err != nil {
result.Responses[query.RefID] = backend.ErrorResponseWithErrorSource(backend.DownstreamError(fmt.Errorf("%v: %w", "failed to call cloudwatch:DescribeAlarms", err)))
return result, nil
}
alarmNames = filterAlarms(resp, model.Namespace, metricName, dimensions, statistic, period)
} else {
if model.Region == "" || model.Namespace == "" || metricName == "" || statistic == "" {
return result, backend.DownstreamError(errors.New("invalid annotations query"))
}
var qd []*cloudwatch.Dimension
for k, v := range dimensions {
for _, vvv := range v.ArrayOfString {
qd = append(qd, &cloudwatch.Dimension{
Name: aws.String(k),
Value: aws.String(vvv),
})
}
}
params := &cloudwatch.DescribeAlarmsForMetricInput{
Namespace: aws.String(model.Namespace),
MetricName: aws.String(metricName),
Dimensions: qd,
Statistic: aws.String(statistic),
Period: aws.Int64(period),
}
resp, err := cli.DescribeAlarmsForMetric(params)
if err != nil {
result.Responses[query.RefID] = backend.ErrorResponseWithErrorSource(backend.DownstreamError(fmt.Errorf("%v: %w", "failed to call cloudwatch:DescribeAlarmsForMetric", err)))
return result, nil
}
for _, alarm := range resp.MetricAlarms {
alarmNames = append(alarmNames, alarm.AlarmName)
}
}
annotations := make([]*annotationEvent, 0)
for _, alarmName := range alarmNames {
params := &cloudwatch.DescribeAlarmHistoryInput{
AlarmName: alarmName,
StartDate: aws.Time(query.TimeRange.From),
EndDate: aws.Time(query.TimeRange.To),
MaxRecords: aws.Int64(100),
}
resp, err := cli.DescribeAlarmHistory(params)
if err != nil {
result.Responses[query.RefID] = backend.ErrorResponseWithErrorSource(backend.DownstreamError(fmt.Errorf("%v: %w", "failed to call cloudwatch:DescribeAlarmHistory", err)))
return result, nil
}
for _, history := range resp.AlarmHistoryItems {
annotations = append(annotations, &annotationEvent{
Time: *history.Timestamp,
Title: *history.AlarmName,
Tags: *history.HistoryItemType,
Text: *history.HistorySummary,
})
}
}
respD := result.Responses[query.RefID]
respD.Frames = append(respD.Frames, transformAnnotationToTable(annotations, query))
result.Responses[query.RefID] = respD
return result, err
}
func transformAnnotationToTable(annotations []*annotationEvent, query backend.DataQuery) *data.Frame {
frame := data.NewFrame(query.RefID,
data.NewField("time", nil, []time.Time{}),
data.NewField("title", nil, []string{}),
data.NewField("tags", nil, []string{}),
data.NewField("text", nil, []string{}),
)
for _, a := range annotations {
frame.AppendRow(a.Time, a.Title, a.Tags, a.Text)
}
frame.Meta = &data.FrameMeta{
Custom: map[string]any{
"rowCount": len(annotations),
},
}
return frame
}
func filterAlarms(alarms *cloudwatch.DescribeAlarmsOutput, namespace string, metricName string,
dimensions dataquery.Dimensions, statistic string, period int64) []*string {
alarmNames := make([]*string, 0)
for _, alarm := range alarms.MetricAlarms {
if namespace != "" && *alarm.Namespace != namespace {
continue
}
if metricName != "" && *alarm.MetricName != metricName {
continue
}
matchDimension := true
if len(dimensions) != 0 {
if len(alarm.Dimensions) != len(dimensions) {
matchDimension = false
} else {
for _, d := range alarm.Dimensions {
if _, ok := dimensions[*d.Name]; !ok {
matchDimension = false
}
}
}
}
if !matchDimension {
continue
}
if *alarm.Statistic != statistic {
continue
}
if period != 0 && *alarm.Period != period {
continue
}
alarmNames = append(alarmNames, alarm.AlarmName)
}
return alarmNames
}