CostExplorer / Client / update_anomaly_subscription
update_anomaly_subscription#
- CostExplorer.Client.update_anomaly_subscription(**kwargs)#
Updates an existing cost anomaly subscription. Specify the fields that you want to update. Omitted fields are unchanged.
Note
The JSON below describes the generic construct for each type. See Request Parameters for possible values as they apply to
AnomalySubscription
.See also: AWS API Documentation
Request Syntax
response = client.update_anomaly_subscription( SubscriptionArn='string', Threshold=123.0, Frequency='DAILY'|'IMMEDIATE'|'WEEKLY', MonitorArnList=[ 'string', ], Subscribers=[ { 'Address': 'string', 'Type': 'EMAIL'|'SNS', 'Status': 'CONFIRMED'|'DECLINED' }, ], SubscriptionName='string', ThresholdExpression={ 'Or': [ {'... recursive ...'}, ], 'And': [ {'... recursive ...'}, ], 'Not': {'... recursive ...'}, 'Dimensions': { 'Key': 'AZ'|'INSTANCE_TYPE'|'LINKED_ACCOUNT'|'LINKED_ACCOUNT_NAME'|'OPERATION'|'PURCHASE_TYPE'|'REGION'|'SERVICE'|'SERVICE_CODE'|'USAGE_TYPE'|'USAGE_TYPE_GROUP'|'RECORD_TYPE'|'OPERATING_SYSTEM'|'TENANCY'|'SCOPE'|'PLATFORM'|'SUBSCRIPTION_ID'|'LEGAL_ENTITY_NAME'|'DEPLOYMENT_OPTION'|'DATABASE_ENGINE'|'CACHE_ENGINE'|'INSTANCE_TYPE_FAMILY'|'BILLING_ENTITY'|'RESERVATION_ID'|'RESOURCE_ID'|'RIGHTSIZING_TYPE'|'SAVINGS_PLANS_TYPE'|'SAVINGS_PLAN_ARN'|'PAYMENT_OPTION'|'AGREEMENT_END_DATE_TIME_AFTER'|'AGREEMENT_END_DATE_TIME_BEFORE'|'INVOICING_ENTITY'|'ANOMALY_TOTAL_IMPACT_ABSOLUTE'|'ANOMALY_TOTAL_IMPACT_PERCENTAGE', 'Values': [ 'string', ], 'MatchOptions': [ 'EQUALS'|'ABSENT'|'STARTS_WITH'|'ENDS_WITH'|'CONTAINS'|'CASE_SENSITIVE'|'CASE_INSENSITIVE'|'GREATER_THAN_OR_EQUAL', ] }, 'Tags': { 'Key': 'string', 'Values': [ 'string', ], 'MatchOptions': [ 'EQUALS'|'ABSENT'|'STARTS_WITH'|'ENDS_WITH'|'CONTAINS'|'CASE_SENSITIVE'|'CASE_INSENSITIVE'|'GREATER_THAN_OR_EQUAL', ] }, 'CostCategories': { 'Key': 'string', 'Values': [ 'string', ], 'MatchOptions': [ 'EQUALS'|'ABSENT'|'STARTS_WITH'|'ENDS_WITH'|'CONTAINS'|'CASE_SENSITIVE'|'CASE_INSENSITIVE'|'GREATER_THAN_OR_EQUAL', ] } } )
- Parameters:
SubscriptionArn (string) –
[REQUIRED]
A cost anomaly subscription Amazon Resource Name (ARN).
Threshold (float) –
(deprecated)
The update to the threshold value for receiving notifications.
This field has been deprecated. To update a threshold, use ThresholdExpression. Continued use of Threshold will be treated as shorthand syntax for a ThresholdExpression.
You can specify either Threshold or ThresholdExpression, but not both.
Frequency (string) – The update to the frequency value that subscribers receive notifications.
MonitorArnList (list) –
A list of cost anomaly monitor ARNs.
(string) –
Subscribers (list) –
The update to the subscriber list.
(dict) –
The recipient of
AnomalySubscription
notifications.Address (string) –
The email address or SNS Amazon Resource Name (ARN). This depends on the
Type
.Type (string) –
The notification delivery channel.
Status (string) –
Indicates if the subscriber accepts the notifications.
SubscriptionName (string) – The new name of the subscription.
ThresholdExpression (dict) –
The update to the Expression object used to specify the anomalies that you want to generate alerts for. This supports dimensions and nested expressions. The supported dimensions are
ANOMALY_TOTAL_IMPACT_ABSOLUTE
andANOMALY_TOTAL_IMPACT_PERCENTAGE
, corresponding to an anomaly’s TotalImpact and TotalImpactPercentage, respectively (see Impact for more details). The supported nested expression types areAND
andOR
. The match optionGREATER_THAN_OR_EQUAL
is required. Values must be numbers between 0 and 10,000,000,000 in string format.You can specify either Threshold or ThresholdExpression, but not both.
The following are examples of valid ThresholdExpressions:
Absolute threshold:
{ "Dimensions": { "Key": "ANOMALY_TOTAL_IMPACT_ABSOLUTE", "MatchOptions": [ "GREATER_THAN_OR_EQUAL" ], "Values": [ "100" ] } }
Percentage threshold:
{ "Dimensions": { "Key": "ANOMALY_TOTAL_IMPACT_PERCENTAGE", "MatchOptions": [ "GREATER_THAN_OR_EQUAL" ], "Values": [ "100" ] } }
AND
two thresholds together:{ "And": [ { "Dimensions": { "Key": "ANOMALY_TOTAL_IMPACT_ABSOLUTE", "MatchOptions": [ "GREATER_THAN_OR_EQUAL" ], "Values": [ "100" ] } }, { "Dimensions": { "Key": "ANOMALY_TOTAL_IMPACT_PERCENTAGE", "MatchOptions": [ "GREATER_THAN_OR_EQUAL" ], "Values": [ "100" ] } } ] }
OR
two thresholds together:{ "Or": [ { "Dimensions": { "Key": "ANOMALY_TOTAL_IMPACT_ABSOLUTE", "MatchOptions": [ "GREATER_THAN_OR_EQUAL" ], "Values": [ "100" ] } }, { "Dimensions": { "Key": "ANOMALY_TOTAL_IMPACT_PERCENTAGE", "MatchOptions": [ "GREATER_THAN_OR_EQUAL" ], "Values": [ "100" ] } } ] }
Or (list) –
Return results that match either
Dimension
object.(dict) –
Use
Expression
to filter in various Cost Explorer APIs.Not all
Expression
types are supported in each API. Refer to the documentation for each specific API to see what is supported.There are two patterns:
Simple dimension values.
There are three types of simple dimension values:
CostCategories
,Tags
, andDimensions
.Specify the
CostCategories
field to define a filter that acts on Cost Categories.Specify the
Tags
field to define a filter that acts on Cost Allocation Tags.Specify the
Dimensions
field to define a filter that acts on the DimensionValues.
For each filter type, you can set the dimension name and values for the filters that you plan to use.
For example, you can filter for
REGION==us-east-1 OR REGION==us-west-1
. ForGetRightsizingRecommendation
, the Region is a full name (for example,REGION==US East (N. Virginia)
.The corresponding
Expression
for this example is as follows:{ "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] } }
As shown in the previous example, lists of dimension values are combined with
OR
when applying the filter.
You can also set different match options to further control how the filter behaves. Not all APIs support match options. Refer to the documentation for each specific API to see what is supported.
For example, you can filter for linked account names that start with “a”.
The corresponding
Expression
for this example is as follows:{ "Dimensions": { "Key": "LINKED_ACCOUNT_NAME", "MatchOptions": [ "STARTS_WITH" ], "Values": [ "a" ] } }
Compound
Expression
types with logical operations.You can use multiple
Expression
types and the logical operatorsAND/OR/NOT
to create a list of one or moreExpression
objects. By doing this, you can filter by more advanced options.For example, you can filter by
((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer)
.The corresponding
Expression
for this example is as follows:{ "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }
Note
Because each
Expression
can have only one operator, the service returns an error if more than one is specified. The following example shows anExpression
object that creates an error:{ "And": [ ... ], "Dimensions": { "Key": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }
The following is an example of the corresponding error message:
"Expression has more than one roots. Only one root operator is allowed for each expression: And, Or, Not, Dimensions, Tags, CostCategories"
Note
For the
GetRightsizingRecommendation
action, a combination of OR and NOT isn’t supported. OR isn’t supported between different dimensions, or dimensions and tags. NOT operators aren’t supported. Dimensions are also limited toLINKED_ACCOUNT
,REGION
, orRIGHTSIZING_TYPE
.For the
GetReservationPurchaseRecommendation
action, only NOT is supported. AND and OR aren’t supported. Dimensions are limited toLINKED_ACCOUNT
.
And (list) –
Return results that match both
Dimension
objects.(dict) –
Use
Expression
to filter in various Cost Explorer APIs.Not all
Expression
types are supported in each API. Refer to the documentation for each specific API to see what is supported.There are two patterns:
Simple dimension values.
There are three types of simple dimension values:
CostCategories
,Tags
, andDimensions
.Specify the
CostCategories
field to define a filter that acts on Cost Categories.Specify the
Tags
field to define a filter that acts on Cost Allocation Tags.Specify the
Dimensions
field to define a filter that acts on the DimensionValues.
For each filter type, you can set the dimension name and values for the filters that you plan to use.
For example, you can filter for
REGION==us-east-1 OR REGION==us-west-1
. ForGetRightsizingRecommendation
, the Region is a full name (for example,REGION==US East (N. Virginia)
.The corresponding
Expression
for this example is as follows:{ "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] } }
As shown in the previous example, lists of dimension values are combined with
OR
when applying the filter.
You can also set different match options to further control how the filter behaves. Not all APIs support match options. Refer to the documentation for each specific API to see what is supported.
For example, you can filter for linked account names that start with “a”.
The corresponding
Expression
for this example is as follows:{ "Dimensions": { "Key": "LINKED_ACCOUNT_NAME", "MatchOptions": [ "STARTS_WITH" ], "Values": [ "a" ] } }
Compound
Expression
types with logical operations.You can use multiple
Expression
types and the logical operatorsAND/OR/NOT
to create a list of one or moreExpression
objects. By doing this, you can filter by more advanced options.For example, you can filter by
((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer)
.The corresponding
Expression
for this example is as follows:{ "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }
Note
Because each
Expression
can have only one operator, the service returns an error if more than one is specified. The following example shows anExpression
object that creates an error:{ "And": [ ... ], "Dimensions": { "Key": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }
The following is an example of the corresponding error message:
"Expression has more than one roots. Only one root operator is allowed for each expression: And, Or, Not, Dimensions, Tags, CostCategories"
Note
For the
GetRightsizingRecommendation
action, a combination of OR and NOT isn’t supported. OR isn’t supported between different dimensions, or dimensions and tags. NOT operators aren’t supported. Dimensions are also limited toLINKED_ACCOUNT
,REGION
, orRIGHTSIZING_TYPE
.For the
GetReservationPurchaseRecommendation
action, only NOT is supported. AND and OR aren’t supported. Dimensions are limited toLINKED_ACCOUNT
.
Not (dict) –
Return results that don’t match a
Dimension
object.Dimensions (dict) –
The specific
Dimension
to use forExpression
.Key (string) –
The names of the metadata types that you can use to filter and group your results. For example,
AZ
returns a list of Availability Zones.Not all dimensions are supported in each API. Refer to the documentation for each specific API to see what is supported.
LINK_ACCOUNT_NAME
andSERVICE_CODE
can only be used in CostCategoryRule.ANOMALY_TOTAL_IMPACT_ABSOLUTE
andANOMALY_TOTAL_IMPACT_PERCENTAGE
can only be used in AnomalySubscriptions.Values (list) –
The metadata values that you can use to filter and group your results. You can use
GetDimensionValues
to find specific values.(string) –
MatchOptions (list) –
The match options that you can use to filter your results.
MatchOptions
is only applicable for actions related to Cost Category and Anomaly Subscriptions. Refer to the documentation for each specific API to see what is supported.The default values for
MatchOptions
areEQUALS
andCASE_SENSITIVE
.(string) –
Tags (dict) –
The specific
Tag
to use forExpression
.Key (string) –
The key for the tag.
Values (list) –
The specific value of the tag.
(string) –
MatchOptions (list) –
The match options that you can use to filter your results.
MatchOptions
is only applicable for actions related to Cost Category. The default values forMatchOptions
areEQUALS
andCASE_SENSITIVE
.(string) –
CostCategories (dict) –
The filter that’s based on
CostCategory
values.Key (string) –
The unique name of the Cost Category.
Values (list) –
The specific value of the Cost Category.
(string) –
MatchOptions (list) –
The match options that you can use to filter your results. MatchOptions is only applicable for actions related to cost category. The default values for
MatchOptions
isEQUALS
andCASE_SENSITIVE
.(string) –
- Return type:
dict
- Returns:
Response Syntax
{ 'SubscriptionArn': 'string' }
Response Structure
(dict) –
SubscriptionArn (string) –
A cost anomaly subscription ARN.
Exceptions
CostExplorer.Client.exceptions.LimitExceededException
CostExplorer.Client.exceptions.UnknownMonitorException
CostExplorer.Client.exceptions.UnknownSubscriptionException