ListAnomaliesForInsight Python Example
import sys
import chilkat
# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.
rest = chilkat.CkRest()
authAws = chilkat.CkAuthAws()
authAws.put_AccessKey("AWS_ACCESS_KEY")
authAws.put_SecretKey("AWS_SECRET_KEY")
# Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.)
authAws.put_Region("us-west-2")
authAws.put_ServiceName("devops-guru")
# SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
rest.SetAuthAws(authAws)
# URL: https://devops-guru.us-west-2.amazonaws.com/
# Use the same region as specified above.
success = rest.Connect("devops-guru.us-west-2.amazonaws.com",443,True,True)
if (success != True):
print("ConnectFailReason: " + str(rest.get_ConnectFailReason()))
print(rest.lastErrorText())
sys.exit()
# The following code creates the JSON request body.
# The JSON created by this code is shown below.
# Use this online tool to generate code from sample JSON:
# Generate Code to Create JSON
json = chilkat.CkJsonObject()
json.UpdateString("AccountId","string")
json.UpdateInt("MaxResults",123)
json.UpdateString("NextToken","string")
json.UpdateInt("StartTimeRange.FromTime",123)
json.UpdateInt("StartTimeRange.ToTime",123)
# The JSON request body created by the above code:
# {
# "AccountId": "string",
# "MaxResults": number,
# "NextToken": "string",
# "StartTimeRange": {
# "FromTime": number,
# "ToTime": number
# }
# }
rest.AddHeader("Content-Type","application/x-amz-json-1.1")
rest.AddHeader("X-Amz-Target","ListAnomaliesForInsight")
sbRequestBody = chilkat.CkStringBuilder()
json.EmitSb(sbRequestBody)
sbResponseBody = chilkat.CkStringBuilder()
success = rest.FullRequestSb("POST","/anomalies/insight/{InsightId}",sbRequestBody,sbResponseBody)
if (success != True):
print(rest.lastErrorText())
sys.exit()
respStatusCode = rest.get_ResponseStatusCode()
print("response status code = " + str(respStatusCode))
if (respStatusCode != 200):
print("Response Header:")
print(rest.responseHeader())
print("Response Body:")
print(sbResponseBody.getAsString())
sys.exit()
jResp = chilkat.CkJsonObject()
jResp.LoadSb(sbResponseBody)
# The following code parses the JSON response.
# A sample JSON response is shown below the sample code.
# Use this online tool to generate parsing code from sample JSON:
# Generate Parsing Code from JSON
NextToken = jResp.stringOf("NextToken")
i = 0
count_i = jResp.SizeOfArray("ProactiveAnomalies")
while i < count_i :
jResp.put_I(i)
CloseTime = jResp.IntOf("ProactiveAnomalies[i].AnomalyReportedTimeRange.CloseTime")
OpenTime = jResp.IntOf("ProactiveAnomalies[i].AnomalyReportedTimeRange.OpenTime")
EndTime = jResp.IntOf("ProactiveAnomalies[i].AnomalyTimeRange.EndTime")
StartTime = jResp.IntOf("ProactiveAnomalies[i].AnomalyTimeRange.StartTime")
AssociatedInsightId = jResp.stringOf("ProactiveAnomalies[i].AssociatedInsightId")
Id = jResp.stringOf("ProactiveAnomalies[i].Id")
Limit = jResp.IntOf("ProactiveAnomalies[i].Limit")
PredictionTimeRangeEndTime = jResp.IntOf("ProactiveAnomalies[i].PredictionTimeRange.EndTime")
PredictionTimeRangeStartTime = jResp.IntOf("ProactiveAnomalies[i].PredictionTimeRange.StartTime")
Severity = jResp.stringOf("ProactiveAnomalies[i].Severity")
Source = jResp.stringOf("ProactiveAnomalies[i].SourceMetadata.Source")
SourceResourceName = jResp.stringOf("ProactiveAnomalies[i].SourceMetadata.SourceResourceName")
SourceResourceType = jResp.stringOf("ProactiveAnomalies[i].SourceMetadata.SourceResourceType")
Status = jResp.stringOf("ProactiveAnomalies[i].Status")
UpdateTime = jResp.IntOf("ProactiveAnomalies[i].UpdateTime")
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomalies[i].AnomalyResources")
while j < count_j :
jResp.put_J(j)
Name = jResp.stringOf("ProactiveAnomalies[i].AnomalyResources[j].Name")
v_Type = jResp.stringOf("ProactiveAnomalies[i].AnomalyResources[j].Type")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomalies[i].ResourceCollection.CloudFormation.StackNames")
while j < count_j :
jResp.put_J(j)
strVal = jResp.stringOf("ProactiveAnomalies[i].ResourceCollection.CloudFormation.StackNames[j]")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomalies[i].ResourceCollection.Tags")
while j < count_j :
jResp.put_J(j)
AppBoundaryKey = jResp.stringOf("ProactiveAnomalies[i].ResourceCollection.Tags[j].AppBoundaryKey")
k = 0
count_k = jResp.SizeOfArray("ProactiveAnomalies[i].ResourceCollection.Tags[j].TagValues")
while k < count_k :
jResp.put_K(k)
strVal = jResp.stringOf("ProactiveAnomalies[i].ResourceCollection.Tags[j].TagValues[k]")
k = k + 1
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics")
while j < count_j :
jResp.put_J(j)
StatusCode = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.StatusCode")
MetricName = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricName")
Namespace = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Namespace")
Period = jResp.IntOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Period")
Stat = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Stat")
Unit = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Unit")
k = 0
count_k = jResp.SizeOfArray("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions")
while k < count_k :
jResp.put_K(k)
Name = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions[k].Name")
Value = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions[k].Value")
k = k + 1
k = 0
count_k = jResp.SizeOfArray("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList")
while k < count_k :
jResp.put_K(k)
MetricValue = jResp.IntOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList[k].MetricValue")
Timestamp = jResp.IntOf("ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList[k].Timestamp")
k = k + 1
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics")
while j < count_j :
jResp.put_J(j)
MetricDisplayName = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricDisplayName")
v_String = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.Filter.string")
Group = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Group")
GroupByLimit = jResp.IntOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Limit")
Metric = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.Metric")
Unit = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].Unit")
k = 0
count_k = jResp.SizeOfArray("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Dimensions")
while k < count_k :
jResp.put_K(k)
strVal = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Dimensions[k]")
k = k + 1
k = 0
count_k = jResp.SizeOfArray("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData")
while k < count_k :
jResp.put_K(k)
FilterString = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.Filter.string")
GroupByGroup = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Group")
GroupByLimit = jResp.IntOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Limit")
MetricQueryMetric = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.Metric")
ReferenceScalarValue = jResp.IntOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceScalar.Value")
Name = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].Name")
# json1 is a CkJsonObject
json1 = jResp.ObjectOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k]")
i1 = 0
count_i1 = json1.SizeOfArray("ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions")
while i1 < count_i1 :
json1.put_I(i1)
strVal = json1.stringOf("ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions[i]")
i1 = i1 + 1
k = k + 1
k = 0
count_k = jResp.SizeOfArray("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly")
while k < count_k :
jResp.put_K(k)
v_Type = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly[k].Type")
Value_int = jResp.IntOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly[k].Value")
k = k + 1
k = 0
count_k = jResp.SizeOfArray("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline")
while k < count_k :
jResp.put_K(k)
v_Type = jResp.stringOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline[k].Type")
Value_int = jResp.IntOf("ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline[k].Value")
k = k + 1
j = j + 1
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ReactiveAnomalies")
while i < count_i :
jResp.put_I(i)
AnomalyReportedTimeRangeCloseTime = jResp.IntOf("ReactiveAnomalies[i].AnomalyReportedTimeRange.CloseTime")
AnomalyReportedTimeRangeOpenTime = jResp.IntOf("ReactiveAnomalies[i].AnomalyReportedTimeRange.OpenTime")
AnomalyTimeRangeEndTime = jResp.IntOf("ReactiveAnomalies[i].AnomalyTimeRange.EndTime")
AnomalyTimeRangeStartTime = jResp.IntOf("ReactiveAnomalies[i].AnomalyTimeRange.StartTime")
AssociatedInsightId = jResp.stringOf("ReactiveAnomalies[i].AssociatedInsightId")
CausalAnomalyId = jResp.stringOf("ReactiveAnomalies[i].CausalAnomalyId")
Description = jResp.stringOf("ReactiveAnomalies[i].Description")
Id = jResp.stringOf("ReactiveAnomalies[i].Id")
Name = jResp.stringOf("ReactiveAnomalies[i].Name")
Severity = jResp.stringOf("ReactiveAnomalies[i].Severity")
Status = jResp.stringOf("ReactiveAnomalies[i].Status")
v_Type = jResp.stringOf("ReactiveAnomalies[i].Type")
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomalies[i].AnomalyResources")
while j < count_j :
jResp.put_J(j)
Name = jResp.stringOf("ReactiveAnomalies[i].AnomalyResources[j].Name")
v_Type = jResp.stringOf("ReactiveAnomalies[i].AnomalyResources[j].Type")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomalies[i].ResourceCollection.CloudFormation.StackNames")
while j < count_j :
jResp.put_J(j)
strVal = jResp.stringOf("ReactiveAnomalies[i].ResourceCollection.CloudFormation.StackNames[j]")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomalies[i].ResourceCollection.Tags")
while j < count_j :
jResp.put_J(j)
AppBoundaryKey = jResp.stringOf("ReactiveAnomalies[i].ResourceCollection.Tags[j].AppBoundaryKey")
k = 0
count_k = jResp.SizeOfArray("ReactiveAnomalies[i].ResourceCollection.Tags[j].TagValues")
while k < count_k :
jResp.put_K(k)
strVal = jResp.stringOf("ReactiveAnomalies[i].ResourceCollection.Tags[j].TagValues[k]")
k = k + 1
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics")
while j < count_j :
jResp.put_J(j)
MetricDataSummaryStatusCode = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.StatusCode")
MetricName = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricName")
Namespace = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Namespace")
Period = jResp.IntOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Period")
Stat = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Stat")
Unit = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Unit")
k = 0
count_k = jResp.SizeOfArray("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions")
while k < count_k :
jResp.put_K(k)
Name = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions[k].Name")
Value = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions[k].Value")
k = k + 1
k = 0
count_k = jResp.SizeOfArray("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList")
while k < count_k :
jResp.put_K(k)
MetricValue = jResp.IntOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList[k].MetricValue")
Timestamp = jResp.IntOf("ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList[k].Timestamp")
k = k + 1
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics")
while j < count_j :
jResp.put_J(j)
MetricDisplayName = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricDisplayName")
FilterString = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.Filter.string")
GroupByGroup = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Group")
GroupByLimit = jResp.IntOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Limit")
MetricQueryMetric = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.Metric")
Unit = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].Unit")
k = 0
count_k = jResp.SizeOfArray("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Dimensions")
while k < count_k :
jResp.put_K(k)
strVal = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Dimensions[k]")
k = k + 1
k = 0
count_k = jResp.SizeOfArray("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData")
while k < count_k :
jResp.put_K(k)
FilterString = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.Filter.string")
GroupByGroup = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Group")
GroupByLimit = jResp.IntOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Limit")
MetricQueryMetric = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.Metric")
ReferenceScalarValue = jResp.IntOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceScalar.Value")
Name = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].Name")
# json1 is a CkJsonObject
json1 = jResp.ObjectOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k]")
i1 = 0
count_i1 = json1.SizeOfArray("ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions")
while i1 < count_i1 :
json1.put_I(i1)
strVal = json1.stringOf("ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions[i]")
i1 = i1 + 1
k = k + 1
k = 0
count_k = jResp.SizeOfArray("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly")
while k < count_k :
jResp.put_K(k)
v_Type = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly[k].Type")
Value_int = jResp.IntOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly[k].Value")
k = k + 1
k = 0
count_k = jResp.SizeOfArray("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline")
while k < count_k :
jResp.put_K(k)
v_Type = jResp.stringOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline[k].Type")
Value_int = jResp.IntOf("ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline[k].Value")
k = k + 1
j = j + 1
i = i + 1
# A sample JSON response body parsed by the above code:
# {
# "NextToken": "string",
# "ProactiveAnomalies": [
# {
# "AnomalyReportedTimeRange": {
# "CloseTime": number,
# "OpenTime": number
# },
# "AnomalyResources": [
# {
# "Name": "string",
# "Type": "string"
# }
# ],
# "AnomalyTimeRange": {
# "EndTime": number,
# "StartTime": number
# },
# "AssociatedInsightId": "string",
# "Id": "string",
# "Limit": number,
# "PredictionTimeRange": {
# "EndTime": number,
# "StartTime": number
# },
# "ResourceCollection": {
# "CloudFormation": {
# "StackNames": [
# "string"
# ]
# },
# "Tags": [
# {
# "AppBoundaryKey": "string",
# "TagValues": [
# "string"
# ]
# }
# ]
# },
# "Severity": "string",
# "SourceDetails": {
# "CloudWatchMetrics": [
# {
# "Dimensions": [
# {
# "Name": "string",
# "Value": "string"
# }
# ],
# "MetricDataSummary": {
# "StatusCode": "string",
# "TimestampMetricValuePairList": [
# {
# "MetricValue": number,
# "Timestamp": number
# }
# ]
# },
# "MetricName": "string",
# "Namespace": "string",
# "Period": number,
# "Stat": "string",
# "Unit": "string"
# }
# ],
# "PerformanceInsightsMetrics": [
# {
# "MetricDisplayName": "string",
# "MetricQuery": {
# "Filter": {
# "string": "string"
# },
# "GroupBy": {
# "Dimensions": [
# "string"
# ],
# "Group": "string",
# "Limit": number
# },
# "Metric": "string"
# },
# "ReferenceData": [
# {
# "ComparisonValues": {
# "ReferenceMetric": {
# "MetricQuery": {
# "Filter": {
# "string": "string"
# },
# "GroupBy": {
# "Dimensions": [
# "string"
# ],
# "Group": "string",
# "Limit": number
# },
# "Metric": "string"
# }
# },
# "ReferenceScalar": {
# "Value": number
# }
# },
# "Name": "string"
# }
# ],
# "StatsAtAnomaly": [
# {
# "Type": "string",
# "Value": number
# }
# ],
# "StatsAtBaseline": [
# {
# "Type": "string",
# "Value": number
# }
# ],
# "Unit": "string"
# }
# ]
# },
# "SourceMetadata": {
# "Source": "string",
# "SourceResourceName": "string",
# "SourceResourceType": "string"
# },
# "Status": "string",
# "UpdateTime": number
# }
# ],
# "ReactiveAnomalies": [
# {
# "AnomalyReportedTimeRange": {
# "CloseTime": number,
# "OpenTime": number
# },
# "AnomalyResources": [
# {
# "Name": "string",
# "Type": "string"
# }
# ],
# "AnomalyTimeRange": {
# "EndTime": number,
# "StartTime": number
# },
# "AssociatedInsightId": "string",
# "CausalAnomalyId": "string",
# "Description": "string",
# "Id": "string",
# "Name": "string",
# "ResourceCollection": {
# "CloudFormation": {
# "StackNames": [
# "string"
# ]
# },
# "Tags": [
# {
# "AppBoundaryKey": "string",
# "TagValues": [
# "string"
# ]
# }
# ]
# },
# "Severity": "string",
# "SourceDetails": {
# "CloudWatchMetrics": [
# {
# "Dimensions": [
# {
# "Name": "string",
# "Value": "string"
# }
# ],
# "MetricDataSummary": {
# "StatusCode": "string",
# "TimestampMetricValuePairList": [
# {
# "MetricValue": number,
# "Timestamp": number
# }
# ]
# },
# "MetricName": "string",
# "Namespace": "string",
# "Period": number,
# "Stat": "string",
# "Unit": "string"
# }
# ],
# "PerformanceInsightsMetrics": [
# {
# "MetricDisplayName": "string",
# "MetricQuery": {
# "Filter": {
# "string": "string"
# },
# "GroupBy": {
# "Dimensions": [
# "string"
# ],
# "Group": "string",
# "Limit": number
# },
# "Metric": "string"
# },
# "ReferenceData": [
# {
# "ComparisonValues": {
# "ReferenceMetric": {
# "MetricQuery": {
# "Filter": {
# "string": "string"
# },
# "GroupBy": {
# "Dimensions": [
# "string"
# ],
# "Group": "string",
# "Limit": number
# },
# "Metric": "string"
# }
# },
# "ReferenceScalar": {
# "Value": number
# }
# },
# "Name": "string"
# }
# ],
# "StatsAtAnomaly": [
# {
# "Type": "string",
# "Value": number
# }
# ],
# "StatsAtBaseline": [
# {
# "Type": "string",
# "Value": number
# }
# ],
# "Unit": "string"
# }
# ]
# },
# "Status": "string",
# "Type": "string"
# }
# ]
# }
