ListAnomaliesForInsight Swift3 Example
func chilkatTest() {
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
let rest = CkoRest()!
var success: Bool
let authAws = CkoAuthAws()!
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", port: 443, tls: true, autoReconnect: true)
if success != true {
print("ConnectFailReason: \(rest.connectFailReason.intValue)")
print("\(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
let json = CkoJsonObject()!
json.update("AccountId", value: "string")
json.updateInt("MaxResults", value: 123)
json.update("NextToken", value: "string")
json.updateInt("StartTimeRange.FromTime", value: 123)
json.updateInt("StartTimeRange.ToTime", value: 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", value: "application/x-amz-json-1.1")
rest.addHeader("X-Amz-Target", value: "ListAnomaliesForInsight")
let sbRequestBody = CkoStringBuilder()!
json.emitSb(sbRequestBody)
let sbResponseBody = CkoStringBuilder()!
success = rest.fullRequestSb("POST", uriPath: "/anomalies/insight/{InsightId}", requestBody: sbRequestBody, responseBody: sbResponseBody)
if success != true {
print("\(rest.lastErrorText!)")
return
}
var respStatusCode: Int = rest.responseStatusCode.intValue
print("response status code = \(respStatusCode)")
if respStatusCode != 200 {
print("Response Header:")
print("\(rest.responseHeader!)")
print("Response Body:")
print("\(sbResponseBody.getAsString()!)")
return
}
let jResp = CkoJsonObject()!
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: Int
var OpenTime: Int
var EndTime: Int
var StartTime: Int
var AssociatedInsightId: String?
var Id: String?
var Limit: Int
var PredictionTimeRangeEndTime: Int
var PredictionTimeRangeStartTime: Int
var Severity: String?
var Source: String?
var SourceResourceName: String?
var SourceResourceType: String?
var Status: String?
var UpdateTime: Int
var j: Int
var count_j: Int
var Name: String?
var v_Type: String?
var strVal: String?
var AppBoundaryKey: String?
var k: Int
var count_k: Int
var StatusCode: String?
var MetricName: String?
var Namespace: String?
var Period: Int
var Stat: String?
var Unit: String?
var Value: String?
var MetricValue: Int
var Timestamp: Int
var MetricDisplayName: String?
var v_String: String?
var Group: String?
var GroupByLimit: Int
var Metric: String?
var FilterString: String?
var GroupByGroup: String?
var MetricQueryMetric: String?
var ReferenceScalarValue: Int
var json1: CkoJsonObject?
var i1: Int
var count_i1: Int
var Value_int: Int
var AnomalyReportedTimeRangeCloseTime: Int
var AnomalyReportedTimeRangeOpenTime: Int
var AnomalyTimeRangeEndTime: Int
var AnomalyTimeRangeStartTime: Int
var CausalAnomalyId: String?
var Description: String?
var MetricDataSummaryStatusCode: String?
var NextToken: String? = jResp.string(of: "NextToken")
var i: Int = 0
var count_i: Int = jResp.size(ofArray: "ProactiveAnomalies").intValue
while i < count_i {
jResp.i = i
CloseTime = jResp.int(of: "ProactiveAnomalies[i].AnomalyReportedTimeRange.CloseTime").intValue
OpenTime = jResp.int(of: "ProactiveAnomalies[i].AnomalyReportedTimeRange.OpenTime").intValue
EndTime = jResp.int(of: "ProactiveAnomalies[i].AnomalyTimeRange.EndTime").intValue
StartTime = jResp.int(of: "ProactiveAnomalies[i].AnomalyTimeRange.StartTime").intValue
AssociatedInsightId = jResp.string(of: "ProactiveAnomalies[i].AssociatedInsightId")
Id = jResp.string(of: "ProactiveAnomalies[i].Id")
Limit = jResp.int(of: "ProactiveAnomalies[i].Limit").intValue
PredictionTimeRangeEndTime = jResp.int(of: "ProactiveAnomalies[i].PredictionTimeRange.EndTime").intValue
PredictionTimeRangeStartTime = jResp.int(of: "ProactiveAnomalies[i].PredictionTimeRange.StartTime").intValue
Severity = jResp.string(of: "ProactiveAnomalies[i].Severity")
Source = jResp.string(of: "ProactiveAnomalies[i].SourceMetadata.Source")
SourceResourceName = jResp.string(of: "ProactiveAnomalies[i].SourceMetadata.SourceResourceName")
SourceResourceType = jResp.string(of: "ProactiveAnomalies[i].SourceMetadata.SourceResourceType")
Status = jResp.string(of: "ProactiveAnomalies[i].Status")
UpdateTime = jResp.int(of: "ProactiveAnomalies[i].UpdateTime").intValue
j = 0
count_j = jResp.size(ofArray: "ProactiveAnomalies[i].AnomalyResources").intValue
while j < count_j {
jResp.j = j
Name = jResp.string(of: "ProactiveAnomalies[i].AnomalyResources[j].Name")
v_Type = jResp.string(of: "ProactiveAnomalies[i].AnomalyResources[j].Type")
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "ProactiveAnomalies[i].ResourceCollection.CloudFormation.StackNames").intValue
while j < count_j {
jResp.j = j
strVal = jResp.string(of: "ProactiveAnomalies[i].ResourceCollection.CloudFormation.StackNames[j]")
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "ProactiveAnomalies[i].ResourceCollection.Tags").intValue
while j < count_j {
jResp.j = j
AppBoundaryKey = jResp.string(of: "ProactiveAnomalies[i].ResourceCollection.Tags[j].AppBoundaryKey")
k = 0
count_k = jResp.size(ofArray: "ProactiveAnomalies[i].ResourceCollection.Tags[j].TagValues").intValue
while k < count_k {
jResp.k = k
strVal = jResp.string(of: "ProactiveAnomalies[i].ResourceCollection.Tags[j].TagValues[k]")
k = k + 1
}
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics").intValue
while j < count_j {
jResp.j = j
StatusCode = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.StatusCode")
MetricName = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricName")
Namespace = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Namespace")
Period = jResp.int(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Period").intValue
Stat = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Stat")
Unit = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Unit")
k = 0
count_k = jResp.size(ofArray: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions").intValue
while k < count_k {
jResp.k = k
Name = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions[k].Name")
Value = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions[k].Value")
k = k + 1
}
k = 0
count_k = jResp.size(ofArray: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList").intValue
while k < count_k {
jResp.k = k
MetricValue = jResp.int(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList[k].MetricValue").intValue
Timestamp = jResp.int(of: "ProactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList[k].Timestamp").intValue
k = k + 1
}
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics").intValue
while j < count_j {
jResp.j = j
MetricDisplayName = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricDisplayName")
v_String = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.Filter.string")
Group = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Group")
GroupByLimit = jResp.int(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Limit").intValue
Metric = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.Metric")
Unit = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].Unit")
k = 0
count_k = jResp.size(ofArray: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Dimensions").intValue
while k < count_k {
jResp.k = k
strVal = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Dimensions[k]")
k = k + 1
}
k = 0
count_k = jResp.size(ofArray: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData").intValue
while k < count_k {
jResp.k = k
FilterString = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.Filter.string")
GroupByGroup = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Group")
GroupByLimit = jResp.int(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Limit").intValue
MetricQueryMetric = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.Metric")
ReferenceScalarValue = jResp.int(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceScalar.Value").intValue
Name = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].Name")
json1 = jResp.object(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k]")
i1 = 0
count_i1 = json1!.size(ofArray: "ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions").intValue
while i1 < count_i1 {
json1.i = i1
strVal = json1!.string(of: "ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions[i]")
i1 = i1 + 1
}
json1 = nil
k = k + 1
}
k = 0
count_k = jResp.size(ofArray: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly").intValue
while k < count_k {
jResp.k = k
v_Type = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly[k].Type")
Value_int = jResp.int(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly[k].Value").intValue
k = k + 1
}
k = 0
count_k = jResp.size(ofArray: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline").intValue
while k < count_k {
jResp.k = k
v_Type = jResp.string(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline[k].Type")
Value_int = jResp.int(of: "ProactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline[k].Value").intValue
k = k + 1
}
j = j + 1
}
i = i + 1
}
i = 0
count_i = jResp.size(ofArray: "ReactiveAnomalies").intValue
while i < count_i {
jResp.i = i
AnomalyReportedTimeRangeCloseTime = jResp.int(of: "ReactiveAnomalies[i].AnomalyReportedTimeRange.CloseTime").intValue
AnomalyReportedTimeRangeOpenTime = jResp.int(of: "ReactiveAnomalies[i].AnomalyReportedTimeRange.OpenTime").intValue
AnomalyTimeRangeEndTime = jResp.int(of: "ReactiveAnomalies[i].AnomalyTimeRange.EndTime").intValue
AnomalyTimeRangeStartTime = jResp.int(of: "ReactiveAnomalies[i].AnomalyTimeRange.StartTime").intValue
AssociatedInsightId = jResp.string(of: "ReactiveAnomalies[i].AssociatedInsightId")
CausalAnomalyId = jResp.string(of: "ReactiveAnomalies[i].CausalAnomalyId")
Description = jResp.string(of: "ReactiveAnomalies[i].Description")
Id = jResp.string(of: "ReactiveAnomalies[i].Id")
Name = jResp.string(of: "ReactiveAnomalies[i].Name")
Severity = jResp.string(of: "ReactiveAnomalies[i].Severity")
Status = jResp.string(of: "ReactiveAnomalies[i].Status")
v_Type = jResp.string(of: "ReactiveAnomalies[i].Type")
j = 0
count_j = jResp.size(ofArray: "ReactiveAnomalies[i].AnomalyResources").intValue
while j < count_j {
jResp.j = j
Name = jResp.string(of: "ReactiveAnomalies[i].AnomalyResources[j].Name")
v_Type = jResp.string(of: "ReactiveAnomalies[i].AnomalyResources[j].Type")
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "ReactiveAnomalies[i].ResourceCollection.CloudFormation.StackNames").intValue
while j < count_j {
jResp.j = j
strVal = jResp.string(of: "ReactiveAnomalies[i].ResourceCollection.CloudFormation.StackNames[j]")
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "ReactiveAnomalies[i].ResourceCollection.Tags").intValue
while j < count_j {
jResp.j = j
AppBoundaryKey = jResp.string(of: "ReactiveAnomalies[i].ResourceCollection.Tags[j].AppBoundaryKey")
k = 0
count_k = jResp.size(ofArray: "ReactiveAnomalies[i].ResourceCollection.Tags[j].TagValues").intValue
while k < count_k {
jResp.k = k
strVal = jResp.string(of: "ReactiveAnomalies[i].ResourceCollection.Tags[j].TagValues[k]")
k = k + 1
}
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics").intValue
while j < count_j {
jResp.j = j
MetricDataSummaryStatusCode = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.StatusCode")
MetricName = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricName")
Namespace = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Namespace")
Period = jResp.int(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Period").intValue
Stat = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Stat")
Unit = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Unit")
k = 0
count_k = jResp.size(ofArray: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions").intValue
while k < count_k {
jResp.k = k
Name = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions[k].Name")
Value = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].Dimensions[k].Value")
k = k + 1
}
k = 0
count_k = jResp.size(ofArray: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList").intValue
while k < count_k {
jResp.k = k
MetricValue = jResp.int(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList[k].MetricValue").intValue
Timestamp = jResp.int(of: "ReactiveAnomalies[i].SourceDetails.CloudWatchMetrics[j].MetricDataSummary.TimestampMetricValuePairList[k].Timestamp").intValue
k = k + 1
}
j = j + 1
}
j = 0
count_j = jResp.size(ofArray: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics").intValue
while j < count_j {
jResp.j = j
MetricDisplayName = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricDisplayName")
FilterString = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.Filter.string")
GroupByGroup = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Group")
GroupByLimit = jResp.int(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Limit").intValue
MetricQueryMetric = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.Metric")
Unit = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].Unit")
k = 0
count_k = jResp.size(ofArray: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Dimensions").intValue
while k < count_k {
jResp.k = k
strVal = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].MetricQuery.GroupBy.Dimensions[k]")
k = k + 1
}
k = 0
count_k = jResp.size(ofArray: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData").intValue
while k < count_k {
jResp.k = k
FilterString = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.Filter.string")
GroupByGroup = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Group")
GroupByLimit = jResp.int(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Limit").intValue
MetricQueryMetric = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceMetric.MetricQuery.Metric")
ReferenceScalarValue = jResp.int(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].ComparisonValues.ReferenceScalar.Value").intValue
Name = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k].Name")
json1 = jResp.object(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].ReferenceData[k]")
i1 = 0
count_i1 = json1!.size(ofArray: "ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions").intValue
while i1 < count_i1 {
json1.i = i1
strVal = json1!.string(of: "ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions[i]")
i1 = i1 + 1
}
json1 = nil
k = k + 1
}
k = 0
count_k = jResp.size(ofArray: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly").intValue
while k < count_k {
jResp.k = k
v_Type = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly[k].Type")
Value_int = jResp.int(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtAnomaly[k].Value").intValue
k = k + 1
}
k = 0
count_k = jResp.size(ofArray: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline").intValue
while k < count_k {
jResp.k = k
v_Type = jResp.string(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline[k].Type")
Value_int = jResp.int(of: "ReactiveAnomalies[i].SourceDetails.PerformanceInsightsMetrics[j].StatsAtBaseline[k].Value").intValue
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"
// }
// ]
// }
}
