DescribeAnomaly Python Example
import sys
import chilkat
# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.
rest = chilkat.CkRest()
authAws = chilkat.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):
print("ConnectFailReason: " + str(rest.get_ConnectFailReason()))
print(rest.lastErrorText())
sys.exit()
rest.AddHeader("Content-Type","application/x-amz-json-1.1")
rest.AddHeader("X-Amz-Target","DescribeAnomaly")
sbResponseBody = chilkat.CkStringBuilder()
success = rest.FullRequestNoBodySb("GET","/anomalies/{Id}",sbResponseBody)
if (success != True):
print(rest.lastErrorText())
sys.exit()
respStatusCode = rest.get_ResponseStatusCode()
print("response status code = " + str(respStatusCode))
if (respStatusCode != 200):
print("Response Header:")
print(rest.responseHeader())
print("Response Body:")
print(sbResponseBody.getAsString())
sys.exit()
jResp = chilkat.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
CloseTime = jResp.IntOf("ProactiveAnomaly.AnomalyReportedTimeRange.CloseTime")
OpenTime = jResp.IntOf("ProactiveAnomaly.AnomalyReportedTimeRange.OpenTime")
EndTime = jResp.IntOf("ProactiveAnomaly.AnomalyTimeRange.EndTime")
StartTime = jResp.IntOf("ProactiveAnomaly.AnomalyTimeRange.StartTime")
AssociatedInsightId = jResp.stringOf("ProactiveAnomaly.AssociatedInsightId")
Id = jResp.stringOf("ProactiveAnomaly.Id")
Limit = jResp.IntOf("ProactiveAnomaly.Limit")
PredictionTimeRangeEndTime = jResp.IntOf("ProactiveAnomaly.PredictionTimeRange.EndTime")
PredictionTimeRangeStartTime = jResp.IntOf("ProactiveAnomaly.PredictionTimeRange.StartTime")
Severity = jResp.stringOf("ProactiveAnomaly.Severity")
Source = jResp.stringOf("ProactiveAnomaly.SourceMetadata.Source")
SourceResourceName = jResp.stringOf("ProactiveAnomaly.SourceMetadata.SourceResourceName")
SourceResourceType = jResp.stringOf("ProactiveAnomaly.SourceMetadata.SourceResourceType")
Status = jResp.stringOf("ProactiveAnomaly.Status")
UpdateTime = jResp.IntOf("ProactiveAnomaly.UpdateTime")
AnomalyReportedTimeRangeCloseTime = jResp.IntOf("ReactiveAnomaly.AnomalyReportedTimeRange.CloseTime")
AnomalyReportedTimeRangeOpenTime = jResp.IntOf("ReactiveAnomaly.AnomalyReportedTimeRange.OpenTime")
AnomalyTimeRangeEndTime = jResp.IntOf("ReactiveAnomaly.AnomalyTimeRange.EndTime")
AnomalyTimeRangeStartTime = jResp.IntOf("ReactiveAnomaly.AnomalyTimeRange.StartTime")
ReactiveAnomalyAssociatedInsightId = jResp.stringOf("ReactiveAnomaly.AssociatedInsightId")
CausalAnomalyId = jResp.stringOf("ReactiveAnomaly.CausalAnomalyId")
Description = jResp.stringOf("ReactiveAnomaly.Description")
ReactiveAnomalyId = jResp.stringOf("ReactiveAnomaly.Id")
Name = jResp.stringOf("ReactiveAnomaly.Name")
ReactiveAnomalySeverity = jResp.stringOf("ReactiveAnomaly.Severity")
ReactiveAnomalyStatus = jResp.stringOf("ReactiveAnomaly.Status")
v_Type = jResp.stringOf("ReactiveAnomaly.Type")
i = 0
count_i = jResp.SizeOfArray("ProactiveAnomaly.AnomalyResources")
while i < count_i :
jResp.put_I(i)
Name = jResp.stringOf("ProactiveAnomaly.AnomalyResources[i].Name")
v_Type = jResp.stringOf("ProactiveAnomaly.AnomalyResources[i].Type")
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ProactiveAnomaly.ResourceCollection.CloudFormation.StackNames")
while i < count_i :
jResp.put_I(i)
strVal = jResp.stringOf("ProactiveAnomaly.ResourceCollection.CloudFormation.StackNames[i]")
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ProactiveAnomaly.ResourceCollection.Tags")
while i < count_i :
jResp.put_I(i)
AppBoundaryKey = jResp.stringOf("ProactiveAnomaly.ResourceCollection.Tags[i].AppBoundaryKey")
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomaly.ResourceCollection.Tags[i].TagValues")
while j < count_j :
jResp.put_J(j)
strVal = jResp.stringOf("ProactiveAnomaly.ResourceCollection.Tags[i].TagValues[j]")
j = j + 1
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.CloudWatchMetrics")
while i < count_i :
jResp.put_I(i)
StatusCode = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.StatusCode")
MetricName = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricName")
Namespace = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Namespace")
Period = jResp.IntOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Period")
Stat = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Stat")
Unit = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Unit")
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions")
while j < count_j :
jResp.put_J(j)
Name = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions[j].Name")
Value = jResp.stringOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions[j].Value")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList")
while j < count_j :
jResp.put_J(j)
MetricValue = jResp.IntOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList[j].MetricValue")
Timestamp = jResp.IntOf("ProactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList[j].Timestamp")
j = j + 1
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics")
while i < count_i :
jResp.put_I(i)
MetricDisplayName = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricDisplayName")
v_String = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.Filter.string")
Group = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Group")
GroupByLimit = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Limit")
Metric = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.Metric")
Unit = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].Unit")
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Dimensions")
while j < count_j :
jResp.put_J(j)
strVal = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Dimensions[j]")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData")
while j < count_j :
jResp.put_J(j)
FilterString = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.Filter.string")
GroupByGroup = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Group")
GroupByLimit = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Limit")
MetricQueryMetric = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.Metric")
ReferenceScalarValue = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceScalar.Value")
Name = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].Name")
k = 0
count_k = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions")
while k < count_k :
jResp.put_K(k)
strVal = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions[k]")
k = k + 1
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly")
while j < count_j :
jResp.put_J(j)
v_Type = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly[j].Type")
Value_int = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly[j].Value")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline")
while j < count_j :
jResp.put_J(j)
v_Type = jResp.stringOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline[j].Type")
Value_int = jResp.IntOf("ProactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline[j].Value")
j = j + 1
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ReactiveAnomaly.AnomalyResources")
while i < count_i :
jResp.put_I(i)
Name = jResp.stringOf("ReactiveAnomaly.AnomalyResources[i].Name")
v_Type = jResp.stringOf("ReactiveAnomaly.AnomalyResources[i].Type")
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ReactiveAnomaly.ResourceCollection.CloudFormation.StackNames")
while i < count_i :
jResp.put_I(i)
strVal = jResp.stringOf("ReactiveAnomaly.ResourceCollection.CloudFormation.StackNames[i]")
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ReactiveAnomaly.ResourceCollection.Tags")
while i < count_i :
jResp.put_I(i)
AppBoundaryKey = jResp.stringOf("ReactiveAnomaly.ResourceCollection.Tags[i].AppBoundaryKey")
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomaly.ResourceCollection.Tags[i].TagValues")
while j < count_j :
jResp.put_J(j)
strVal = jResp.stringOf("ReactiveAnomaly.ResourceCollection.Tags[i].TagValues[j]")
j = j + 1
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.CloudWatchMetrics")
while i < count_i :
jResp.put_I(i)
MetricDataSummaryStatusCode = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.StatusCode")
MetricName = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricName")
Namespace = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Namespace")
Period = jResp.IntOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Period")
Stat = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Stat")
Unit = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Unit")
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions")
while j < count_j :
jResp.put_J(j)
Name = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions[j].Name")
Value = jResp.stringOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].Dimensions[j].Value")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList")
while j < count_j :
jResp.put_J(j)
MetricValue = jResp.IntOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList[j].MetricValue")
Timestamp = jResp.IntOf("ReactiveAnomaly.SourceDetails.CloudWatchMetrics[i].MetricDataSummary.TimestampMetricValuePairList[j].Timestamp")
j = j + 1
i = i + 1
i = 0
count_i = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics")
while i < count_i :
jResp.put_I(i)
MetricDisplayName = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricDisplayName")
FilterString = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.Filter.string")
GroupByGroup = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Group")
GroupByLimit = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Limit")
MetricQueryMetric = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.Metric")
Unit = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].Unit")
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Dimensions")
while j < count_j :
jResp.put_J(j)
strVal = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].MetricQuery.GroupBy.Dimensions[j]")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData")
while j < count_j :
jResp.put_J(j)
FilterString = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.Filter.string")
GroupByGroup = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Group")
GroupByLimit = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Limit")
MetricQueryMetric = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.Metric")
ReferenceScalarValue = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceScalar.Value")
Name = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].Name")
k = 0
count_k = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions")
while k < count_k :
jResp.put_K(k)
strVal = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].ReferenceData[j].ComparisonValues.ReferenceMetric.MetricQuery.GroupBy.Dimensions[k]")
k = k + 1
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly")
while j < count_j :
jResp.put_J(j)
v_Type = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly[j].Type")
Value_int = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtAnomaly[j].Value")
j = j + 1
j = 0
count_j = jResp.SizeOfArray("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline")
while j < count_j :
jResp.put_J(j)
v_Type = jResp.stringOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline[j].Type")
Value_int = jResp.IntOf("ReactiveAnomaly.SourceDetails.PerformanceInsightsMetrics[i].StatsAtBaseline[j].Value")
j = j + 1
i = i + 1
# A sample JSON response body parsed by the above code:
# {
# "ProactiveAnomaly": {
# "AnomalyReportedTimeRange": {
# "CloseTime": number,
# "OpenTime": number
# },
# "AnomalyResources": [
# {
# "Name": "string",
# "Type": "string"
# }
# ],
# "AnomalyTimeRange": {
# "EndTime": number,
# "StartTime": number
# },
# "AssociatedInsightId": "string",
# "Id": "string",
# "Limit": number,
# "PredictionTimeRange": {
# "EndTime": number,
# "StartTime": number
# },
# "ResourceCollection": {
# "CloudFormation": {
# "StackNames": [
# "string"
# ]
# },
# "Tags": [
# {
# "AppBoundaryKey": "string",
# "TagValues": [
# "string"
# ]
# }
# ]
# },
# "Severity": "string",
# "SourceDetails": {
# "CloudWatchMetrics": [
# {
# "Dimensions": [
# {
# "Name": "string",
# "Value": "string"
# }
# ],
# "MetricDataSummary": {
# "StatusCode": "string",
# "TimestampMetricValuePairList": [
# {
# "MetricValue": number,
# "Timestamp": number
# }
# ]
# },
# "MetricName": "string",
# "Namespace": "string",
# "Period": number,
# "Stat": "string",
# "Unit": "string"
# }
# ],
# "PerformanceInsightsMetrics": [
# {
# "MetricDisplayName": "string",
# "MetricQuery": {
# "Filter": {
# "string": "string"
# },
# "GroupBy": {
# "Dimensions": [
# "string"
# ],
# "Group": "string",
# "Limit": number
# },
# "Metric": "string"
# },
# "ReferenceData": [
# {
# "ComparisonValues": {
# "ReferenceMetric": {
# "MetricQuery": {
# "Filter": {
# "string": "string"
# },
# "GroupBy": {
# "Dimensions": [
# "string"
# ],
# "Group": "string",
# "Limit": number
# },
# "Metric": "string"
# }
# },
# "ReferenceScalar": {
# "Value": number
# }
# },
# "Name": "string"
# }
# ],
# "StatsAtAnomaly": [
# {
# "Type": "string",
# "Value": number
# }
# ],
# "StatsAtBaseline": [
# {
# "Type": "string",
# "Value": number
# }
# ],
# "Unit": "string"
# }
# ]
# },
# "SourceMetadata": {
# "Source": "string",
# "SourceResourceName": "string",
# "SourceResourceType": "string"
# },
# "Status": "string",
# "UpdateTime": number
# },
# "ReactiveAnomaly": {
# "AnomalyReportedTimeRange": {
# "CloseTime": number,
# "OpenTime": number
# },
# "AnomalyResources": [
# {
# "Name": "string",
# "Type": "string"
# }
# ],
# "AnomalyTimeRange": {
# "EndTime": number,
# "StartTime": number
# },
# "AssociatedInsightId": "string",
# "CausalAnomalyId": "string",
# "Description": "string",
# "Id": "string",
# "Name": "string",
# "ResourceCollection": {
# "CloudFormation": {
# "StackNames": [
# "string"
# ]
# },
# "Tags": [
# {
# "AppBoundaryKey": "string",
# "TagValues": [
# "string"
# ]
# }
# ]
# },
# "Severity": "string",
# "SourceDetails": {
# "CloudWatchMetrics": [
# {
# "Dimensions": [
# {
# "Name": "string",
# "Value": "string"
# }
# ],
# "MetricDataSummary": {
# "StatusCode": "string",
# "TimestampMetricValuePairList": [
# {
# "MetricValue": number,
# "Timestamp": number
# }
# ]
# },
# "MetricName": "string",
# "Namespace": "string",
# "Period": number,
# "Stat": "string",
# "Unit": "string"
# }
# ],
# "PerformanceInsightsMetrics": [
# {
# "MetricDisplayName": "string",
# "MetricQuery": {
# "Filter": {
# "string": "string"
# },
# "GroupBy": {
# "Dimensions": [
# "string"
# ],
# "Group": "string",
# "Limit": number
# },
# "Metric": "string"
# },
# "ReferenceData": [
# {
# "ComparisonValues": {
# "ReferenceMetric": {
# "MetricQuery": {
# "Filter": {
# "string": "string"
# },
# "GroupBy": {
# "Dimensions": [
# "string"
# ],
# "Group": "string",
# "Limit": number
# },
# "Metric": "string"
# }
# },
# "ReferenceScalar": {
# "Value": number
# }
# },
# "Name": "string"
# }
# ],
# "StatsAtAnomaly": [
# {
# "Type": "string",
# "Value": number
# }
# ],
# "StatsAtBaseline": [
# {
# "Type": "string",
# "Value": number
# }
# ],
# "Unit": "string"
# }
# ]
# },
# "Status": "string",
# "Type": "string"
# }
# }
