ListAnomaliesForInsight Java Example
import com.chilkatsoft.*;
public class ChilkatExample {
static {
try {
System.loadLibrary("chilkat");
} catch (UnsatisfiedLinkError e) {
System.err.println("Native code library failed to load.\n" + e);
System.exit(1);
}
}
public static void main(String argv[])
{
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
CkRest rest = new CkRest();
boolean success;
CkAuthAws authAws = new 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) {
System.out.println("ConnectFailReason: " + rest.get_ConnectFailReason());
System.out.println(rest.lastErrorText());
return;
}
// 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
CkJsonObject json = new 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");
CkStringBuilder sbRequestBody = new CkStringBuilder();
json.EmitSb(sbRequestBody);
CkStringBuilder sbResponseBody = new CkStringBuilder();
success = rest.FullRequestSb("POST","/anomalies/insight/{InsightId}",sbRequestBody,sbResponseBody);
if (success != true) {
System.out.println(rest.lastErrorText());
return;
}
int respStatusCode = rest.get_ResponseStatusCode();
System.out.println("response status code = " + respStatusCode);
if (respStatusCode != 200) {
System.out.println("Response Header:");
System.out.println(rest.responseHeader());
System.out.println("Response Body:");
System.out.println(sbResponseBody.getAsString());
return;
}
CkJsonObject jResp = new 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
int CloseTime;
int OpenTime;
int EndTime;
int StartTime;
String AssociatedInsightId;
String Id;
int Limit;
int PredictionTimeRangeEndTime;
int PredictionTimeRangeStartTime;
String Severity;
String Source;
String SourceResourceName;
String SourceResourceType;
String Status;
int UpdateTime;
int j;
int count_j;
String Name;
String v_Type;
String strVal;
String AppBoundaryKey;
int k;
int count_k;
String StatusCode;
String MetricName;
String Namespace;
int Period;
String Stat;
String Unit;
String Value;
int MetricValue;
int Timestamp;
String MetricDisplayName;
String v_String;
String Group;
int GroupByLimit;
String Metric;
String FilterString;
String GroupByGroup;
String MetricQueryMetric;
int ReferenceScalarValue;
CkJsonObject json1;
int i1;
int count_i1;
int Value_int;
int AnomalyReportedTimeRangeCloseTime;
int AnomalyReportedTimeRangeOpenTime;
int AnomalyTimeRangeEndTime;
int AnomalyTimeRangeStartTime;
String CausalAnomalyId;
String Description;
String MetricDataSummaryStatusCode;
String NextToken = jResp.stringOf("NextToken");
int i = 0;
int 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 = 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 = 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"
// }
// ]
// }
}
}
