ListAnomaliesForInsight Node.js Example
var os = require('os');
if (os.platform() == 'win32') {
if (os.arch() == 'ia32') {
var chilkat = require('@chilkat/ck-node17-win-ia32');
} else {
var chilkat = require('@chilkat/ck-node17-win64');
}
} else if (os.platform() == 'linux') {
if (os.arch() == 'arm') {
var chilkat = require('@chilkat/ck-node17-arm');
} else if (os.arch() == 'x86') {
var chilkat = require('@chilkat/ck-node17-linux32');
} else {
var chilkat = require('@chilkat/ck-node17-linux64');
}
} else if (os.platform() == 'darwin') {
var chilkat = require('@chilkat/ck-node17-macosx');
}
function chilkatExample() {
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
var rest = new chilkat.Rest();
var success;
var authAws = new chilkat.AuthAws();
authAws.AccessKey = "AWS_ACCESS_KEY";
authAws.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.Region = "us-west-2";
authAws.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) {
console.log("ConnectFailReason: " + rest.ConnectFailReason);
console.log(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
var json = new chilkat.JsonObject();
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");
var sbRequestBody = new chilkat.StringBuilder();
json.EmitSb(sbRequestBody);
var sbResponseBody = new chilkat.StringBuilder();
success = rest.FullRequestSb("POST","/anomalies/insight/{InsightId}",sbRequestBody,sbResponseBody);
if (success !== true) {
console.log(rest.LastErrorText);
return;
}
var respStatusCode = rest.ResponseStatusCode;
console.log("response status code = " + respStatusCode);
if (respStatusCode !== 200) {
console.log("Response Header:");
console.log(rest.ResponseHeader);
console.log("Response Body:");
console.log(sbResponseBody.GetAsString());
return;
}
var jResp = new chilkat.JsonObject();
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
var CloseTime;
var OpenTime;
var EndTime;
var StartTime;
var AssociatedInsightId;
var Id;
var Limit;
var PredictionTimeRangeEndTime;
var PredictionTimeRangeStartTime;
var Severity;
var Source;
var SourceResourceName;
var SourceResourceType;
var Status;
var UpdateTime;
var j;
var count_j;
var Name;
var v_Type;
var strVal;
var AppBoundaryKey;
var k;
var count_k;
var StatusCode;
var MetricName;
var Namespace;
var Period;
var Stat;
var Unit;
var Value;
var MetricValue;
var Timestamp;
var MetricDisplayName;
var v_String;
var Group;
var GroupByLimit;
var Metric;
var FilterString;
var GroupByGroup;
var MetricQueryMetric;
var ReferenceScalarValue;
// json1: JsonObject
var json1;
var i1;
var count_i1;
var Value_int;
var AnomalyReportedTimeRangeCloseTime;
var AnomalyReportedTimeRangeOpenTime;
var AnomalyTimeRangeEndTime;
var AnomalyTimeRangeStartTime;
var CausalAnomalyId;
var Description;
var MetricDataSummaryStatusCode;
var NextToken = jResp.StringOf("NextToken");
var i = 0;
var count_i = jResp.SizeOfArray("ProactiveAnomalies");
while (i < count_i) {
jResp.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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"
// }
// ]
// }
}
chilkatExample();
