Chilkat Online Tools

ListAnomaliesForInsight Ruby Example

Amazon DevOps Guru

require 'chilkat'

# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.

rest = Chilkat::CkRest.new()

authAws = Chilkat::CkAuthAws.new()
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: " + rest.get_ConnectFailReason().to_s() + "\n";
    print rest.lastErrorText() + "\n";
    exit
end

# 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.new()
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.new()
json.EmitSb(sbRequestBody)
sbResponseBody = Chilkat::CkStringBuilder.new()
success = rest.FullRequestSb("POST","/anomalies/insight/{InsightId}",sbRequestBody,sbResponseBody)
if (success != true)
    print rest.lastErrorText() + "\n";
    exit
end

respStatusCode = rest.get_ResponseStatusCode()
print "response status code = " + respStatusCode.to_s() + "\n";
if (respStatusCode != 200)
    print "Response Header:" + "\n";
    print rest.responseHeader() + "\n";
    print "Response Body:" + "\n";
    print sbResponseBody.getAsString() + "\n";
    exit
end

jResp = Chilkat::CkJsonObject.new()
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
    end
    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
    end
    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
        end
        j = j + 1
    end
    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
        end
        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
        end
        j = j + 1
    end
    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
        end
        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
            end

            k = k + 1
        end
        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
        end
        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
        end
        j = j + 1
    end
    i = i + 1
end
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
    end
    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
    end
    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
        end
        j = j + 1
    end
    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
        end
        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
        end
        j = j + 1
    end
    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
        end
        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
            end

            k = k + 1
        end
        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
        end
        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
        end
        j = j + 1
    end
    i = i + 1
end

# 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"
#     }
#   ]
# }