DescribeAnomaly C++ Example
#include <CkRest.h>
#include <CkAuthAws.h>
#include <CkStringBuilder.h>
#include <CkJsonObject.h>
void ChilkatSample(void)
{
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
CkRest rest;
bool success;
CkAuthAws authAws;
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) {
std::cout << "ConnectFailReason: " << rest.get_ConnectFailReason() << "\r\n";
std::cout << rest.lastErrorText() << "\r\n";
return;
}
rest.AddHeader("Content-Type","application/x-amz-json-1.1");
rest.AddHeader("X-Amz-Target","DescribeAnomaly");
CkStringBuilder sbResponseBody;
success = rest.FullRequestNoBodySb("GET","/anomalies/{Id}",sbResponseBody);
if (success != true) {
std::cout << rest.lastErrorText() << "\r\n";
return;
}
int respStatusCode = rest.get_ResponseStatusCode();
std::cout << "response status code = " << respStatusCode << "\r\n";
if (respStatusCode != 200) {
std::cout << "Response Header:" << "\r\n";
std::cout << rest.responseHeader() << "\r\n";
std::cout << "Response Body:" << "\r\n";
std::cout << sbResponseBody.getAsString() << "\r\n";
return;
}
CkJsonObject jResp;
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
// Chilkat functions returning "const char *" return a pointer to temporary internal memory owned and managed by Chilkat.
// See this example explaining how this memory should be used: const char * functions.
const char *strVal = 0;
const char *AppBoundaryKey = 0;
int j;
int count_j;
const char *StatusCode = 0;
const char *MetricName = 0;
const char *Namespace = 0;
int Period;
const char *Stat = 0;
const char *Unit = 0;
const char *Value = 0;
int MetricValue;
int Timestamp;
const char *MetricDisplayName = 0;
const char *v_String = 0;
const char *Group = 0;
int GroupByLimit;
const char *Metric = 0;
const char *FilterString = 0;
const char *GroupByGroup = 0;
const char *MetricQueryMetric = 0;
int ReferenceScalarValue;
int k;
int count_k;
int Value_int;
const char *MetricDataSummaryStatusCode = 0;
int CloseTime = jResp.IntOf("ProactiveAnomaly.AnomalyReportedTimeRange.CloseTime");
int OpenTime = jResp.IntOf("ProactiveAnomaly.AnomalyReportedTimeRange.OpenTime");
int EndTime = jResp.IntOf("ProactiveAnomaly.AnomalyTimeRange.EndTime");
int StartTime = jResp.IntOf("ProactiveAnomaly.AnomalyTimeRange.StartTime");
const char *AssociatedInsightId = jResp.stringOf("ProactiveAnomaly.AssociatedInsightId");
const char *Id = jResp.stringOf("ProactiveAnomaly.Id");
int Limit = jResp.IntOf("ProactiveAnomaly.Limit");
int PredictionTimeRangeEndTime = jResp.IntOf("ProactiveAnomaly.PredictionTimeRange.EndTime");
int PredictionTimeRangeStartTime = jResp.IntOf("ProactiveAnomaly.PredictionTimeRange.StartTime");
const char *Severity = jResp.stringOf("ProactiveAnomaly.Severity");
const char *Source = jResp.stringOf("ProactiveAnomaly.SourceMetadata.Source");
const char *SourceResourceName = jResp.stringOf("ProactiveAnomaly.SourceMetadata.SourceResourceName");
const char *SourceResourceType = jResp.stringOf("ProactiveAnomaly.SourceMetadata.SourceResourceType");
const char *Status = jResp.stringOf("ProactiveAnomaly.Status");
int UpdateTime = jResp.IntOf("ProactiveAnomaly.UpdateTime");
int AnomalyReportedTimeRangeCloseTime = jResp.IntOf("ReactiveAnomaly.AnomalyReportedTimeRange.CloseTime");
int AnomalyReportedTimeRangeOpenTime = jResp.IntOf("ReactiveAnomaly.AnomalyReportedTimeRange.OpenTime");
int AnomalyTimeRangeEndTime = jResp.IntOf("ReactiveAnomaly.AnomalyTimeRange.EndTime");
int AnomalyTimeRangeStartTime = jResp.IntOf("ReactiveAnomaly.AnomalyTimeRange.StartTime");
const char *ReactiveAnomalyAssociatedInsightId = jResp.stringOf("ReactiveAnomaly.AssociatedInsightId");
const char *CausalAnomalyId = jResp.stringOf("ReactiveAnomaly.CausalAnomalyId");
const char *Description = jResp.stringOf("ReactiveAnomaly.Description");
const char *ReactiveAnomalyId = jResp.stringOf("ReactiveAnomaly.Id");
const char *Name = jResp.stringOf("ReactiveAnomaly.Name");
const char *ReactiveAnomalySeverity = jResp.stringOf("ReactiveAnomaly.Severity");
const char *ReactiveAnomalyStatus = jResp.stringOf("ReactiveAnomaly.Status");
const char *v_Type = jResp.stringOf("ReactiveAnomaly.Type");
int i = 0;
int count_i = jResp.SizeOfArray("ProactiveAnomaly.AnomalyResources");
while (i < count_i) {
jResp.put_I(i);
Name = jResp.stringOf("ProactiveAnomaly.AnomalyResources[i].Name");
v_Type = jResp.stringOf("ProactiveAnomaly.AnomalyResources[i].Type");
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("ProactiveAnomaly.ResourceCollection.CloudFormation.StackNames");
while (i < count_i) {
jResp.put_I(i);
strVal = jResp.stringOf("ProactiveAnomaly.ResourceCollection.CloudFormation.StackNames[i]");
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("ProactiveAnomaly.ResourceCollection.Tags");
while (i < count_i) {
jResp.put_I(i);
AppBoundaryKey = jResp.stringOf("ProactiveAnomaly.ResourceCollection.Tags[i].AppBoundaryKey");
j = 0;
count_j = jResp.SizeOfArray("ProactiveAnomaly.ResourceCollection.Tags[i].TagValues");
while (j < count_j) {
jResp.put_J(j);
strVal = jResp.stringOf("ProactiveAnomaly.ResourceCollection.Tags[i].TagValues[j]");
j = j + 1;
}
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.CloudWatchMetrics");
while (i < count_i) {
jResp.put_I(i);
StatusCode = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.StatusCode");
MetricName = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricName");
Namespace = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Namespace");
Period = jResp.IntOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Period");
Stat = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Stat");
Unit = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Unit");
j = 0;
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions");
while (j < count_j) {
jResp.put_J(j);
Name = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions[j].Name");
Value = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions[j].Value");
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList");
while (j < count_j) {
jResp.put_J(j);
MetricValue = jResp.IntOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList[j].MetricValue");
Timestamp = jResp.IntOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList[j].Timestamp");
j = j + 1;
}
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics");
while (i < count_i) {
jResp.put_I(i);
MetricDisplayName = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricDisplayName");
v_String = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.Filter.string");
Group = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Group");
GroupByLimit = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Limit");
Metric = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.Metric");
Unit = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].Unit");
j = 0;
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Dimensions");
while (j < count_j) {
jResp.put_J(j);
strVal = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Dimensions[j]");
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData");
while (j < count_j) {
jResp.put_J(j);
FilterString = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.Filter.string");
GroupByGroup = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Group");
GroupByLimit = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Limit");
MetricQueryMetric = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.Metric");
ReferenceScalarValue = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceScalar.Value");
Name = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].Name");
k = 0;
count_k = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions");
while (k < count_k) {
jResp.put_K(k);
strVal = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions[k]");
k = k + 1;
}
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly");
while (j < count_j) {
jResp.put_J(j);
v_Type = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly[j].Type");
Value_int = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly[j].Value");
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline");
while (j < count_j) {
jResp.put_J(j);
v_Type = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline[j].Type");
Value_int = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline[j].Value");
j = j + 1;
}
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("ReactiveAnomaly.AnomalyResources");
while (i < count_i) {
jResp.put_I(i);
Name = jResp.stringOf("ReactiveAnomaly.AnomalyResources[i].Name");
v_Type = jResp.stringOf("ReactiveAnomaly.AnomalyResources[i].Type");
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("ReactiveAnomaly.ResourceCollection.CloudFormation.StackNames");
while (i < count_i) {
jResp.put_I(i);
strVal = jResp.stringOf("ReactiveAnomaly.ResourceCollection.CloudFormation.StackNames[i]");
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("ReactiveAnomaly.ResourceCollection.Tags");
while (i < count_i) {
jResp.put_I(i);
AppBoundaryKey = jResp.stringOf("ReactiveAnomaly.ResourceCollection.Tags[i].AppBoundaryKey");
j = 0;
count_j = jResp.SizeOfArray("ReactiveAnomaly.ResourceCollection.Tags[i].TagValues");
while (j < count_j) {
jResp.put_J(j);
strVal = jResp.stringOf("ReactiveAnomaly.ResourceCollection.Tags[i].TagValues[j]");
j = j + 1;
}
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.CloudWatchMetrics");
while (i < count_i) {
jResp.put_I(i);
MetricDataSummaryStatusCode = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.StatusCode");
MetricName = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricName");
Namespace = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Namespace");
Period = jResp.IntOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Period");
Stat = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Stat");
Unit = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Unit");
j = 0;
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions");
while (j < count_j) {
jResp.put_J(j);
Name = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions[j].Name");
Value = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions[j].Value");
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList");
while (j < count_j) {
jResp.put_J(j);
MetricValue = jResp.IntOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList[j].MetricValue");
Timestamp = jResp.IntOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList[j].Timestamp");
j = j + 1;
}
i = i + 1;
}
i = 0;
count_i = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics");
while (i < count_i) {
jResp.put_I(i);
MetricDisplayName = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricDisplayName");
FilterString = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.Filter.string");
GroupByGroup = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Group");
GroupByLimit = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Limit");
MetricQueryMetric = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.Metric");
Unit = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].Unit");
j = 0;
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Dimensions");
while (j < count_j) {
jResp.put_J(j);
strVal = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Dimensions[j]");
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData");
while (j < count_j) {
jResp.put_J(j);
FilterString = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.Filter.string");
GroupByGroup = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Group");
GroupByLimit = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Limit");
MetricQueryMetric = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.Metric");
ReferenceScalarValue = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceScalar.Value");
Name = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].Name");
k = 0;
count_k = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions");
while (k < count_k) {
jResp.put_K(k);
strVal = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions[k]");
k = k + 1;
}
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly");
while (j < count_j) {
jResp.put_J(j);
v_Type = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly[j].Type");
Value_int = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly[j].Value");
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline");
while (j < count_j) {
jResp.put_J(j);
v_Type = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline[j].Type");
Value_int = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline[j].Value");
j = j + 1;
}
i = i + 1;
}
// A sample JSON response body parsed by the above code:
// {
// "ProactiveAnomaly": {
// "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
// },
// "ReactiveAnomaly": {
// "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"
// }
// }
}
