CostExplorer / Client / get_cost_and_usage_with_resources
get_cost_and_usage_with_resources#
- CostExplorer.Client.get_cost_and_usage_with_resources(**kwargs)#
Retrieves cost and usage metrics with resources for your account. You can specify which cost and usage-related metric, such as
BlendedCosts
orUsageQuantity
, that you want the request to return. You can also filter and group your data by various dimensions, such asSERVICE
orAZ
, in a specific time range. For a complete list of valid dimensions, see the GetDimensionValues operation. Management account in an organization in Organizations have access to all member accounts.Hourly granularity is only available for EC2-Instances (Elastic Compute Cloud) resource-level data. All other resource-level data is available at daily granularity.
Note
This is an opt-in only feature. You can enable this feature from the Cost Explorer Settings page. For information about how to access the Settings page, see Controlling Access for Cost Explorer in the Billing and Cost Management User Guide.
See also: AWS API Documentation
Request Syntax
response = client.get_cost_and_usage_with_resources( TimePeriod={ 'Start': 'string', 'End': 'string' }, Granularity='DAILY'|'MONTHLY'|'HOURLY', Filter={ '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', ] } }, Metrics=[ 'string', ], GroupBy=[ { 'Type': 'DIMENSION'|'TAG'|'COST_CATEGORY', 'Key': 'string' }, ], NextPageToken='string' )
- Parameters:
TimePeriod (dict) –
[REQUIRED]
Sets the start and end dates for retrieving Amazon Web Services costs. The range must be within the last 14 days (the start date cannot be earlier than 14 days ago). The start date is inclusive, but the end date is exclusive. For example, if
start
is2017-01-01
andend
is2017-05-01
, then the cost and usage data is retrieved from2017-01-01
up to and including2017-04-30
but not including2017-05-01
.Start (string) – [REQUIRED]
The beginning of the time period. The start date is inclusive. For example, if
start
is2017-01-01
, Amazon Web Services retrieves cost and usage data starting at2017-01-01
up to the end date. The start date must be equal to or no later than the current date to avoid a validation error.End (string) – [REQUIRED]
The end of the time period. The end date is exclusive. For example, if
end
is2017-05-01
, Amazon Web Services retrieves cost and usage data from the start date up to, but not including,2017-05-01
.
Granularity (string) –
[REQUIRED]
Sets the Amazon Web Services cost granularity to
MONTHLY
,DAILY
, orHOURLY
. IfGranularity
isn’t set, the response object doesn’t include theGranularity
,MONTHLY
,DAILY
, orHOURLY
.Filter (dict) –
[REQUIRED]
Filters Amazon Web Services costs by different dimensions. For example, you can specify
SERVICE
andLINKED_ACCOUNT
and get the costs that are associated with that account’s usage of that service. You can nestExpression
objects to define any combination of dimension filters. For more information, see Expression.The
GetCostAndUsageWithResources
operation requires that you either group by or filter by aResourceId
. It requires the Expression"SERVICE = Amazon Elastic Compute Cloud - Compute"
in the filter.Valid values for
MatchOptions
forDimensions
areEQUALS
andCASE_SENSITIVE
.Valid values for
MatchOptions
forCostCategories
andTags
areEQUALS
,ABSENT
, andCASE_SENSITIVE
. Default values areEQUALS
andCASE_SENSITIVE
.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) –
Metrics (list) –
Which metrics are returned in the query. For more information about blended and unblended rates, see Why does the “blended” annotation appear on some line items in my bill?.
Valid values are
AmortizedCost
,BlendedCost
,NetAmortizedCost
,NetUnblendedCost
,NormalizedUsageAmount
,UnblendedCost
, andUsageQuantity
.Note
If you return the
UsageQuantity
metric, the service aggregates all usage numbers without taking the units into account. For example, if you aggregateusageQuantity
across all of Amazon EC2, the results aren’t meaningful because Amazon EC2 compute hours and data transfer are measured in different units (for example, hour or GB). To get more meaningfulUsageQuantity
metrics, filter byUsageType
orUsageTypeGroups
.Metrics
is required forGetCostAndUsageWithResources
requests.(string) –
GroupBy (list) –
You can group Amazon Web Services costs using up to two different groups:
DIMENSION
,TAG
,COST_CATEGORY
.(dict) –
Represents a group when you specify a group by criteria or in the response to a query with a specific grouping.
Type (string) –
The string that represents the type of group.
Key (string) –
The string that represents a key for a specified group.
NextPageToken (string) – The token to retrieve the next set of results. Amazon Web Services provides the token when the response from a previous call has more results than the maximum page size.
- Return type:
dict
- Returns:
Response Syntax
{ 'NextPageToken': 'string', 'GroupDefinitions': [ { 'Type': 'DIMENSION'|'TAG'|'COST_CATEGORY', 'Key': 'string' }, ], 'ResultsByTime': [ { 'TimePeriod': { 'Start': 'string', 'End': 'string' }, 'Total': { 'string': { 'Amount': 'string', 'Unit': 'string' } }, 'Groups': [ { 'Keys': [ 'string', ], 'Metrics': { 'string': { 'Amount': 'string', 'Unit': 'string' } } }, ], 'Estimated': True|False }, ], 'DimensionValueAttributes': [ { 'Value': 'string', 'Attributes': { 'string': 'string' } }, ] }
Response Structure
(dict) –
NextPageToken (string) –
The token for the next set of retrievable results. Amazon Web Services provides the token when the response from a previous call has more results than the maximum page size.
GroupDefinitions (list) –
The groups that are specified by the
Filter
orGroupBy
parameters in the request.(dict) –
Represents a group when you specify a group by criteria or in the response to a query with a specific grouping.
Type (string) –
The string that represents the type of group.
Key (string) –
The string that represents a key for a specified group.
ResultsByTime (list) –
The time period that’s covered by the results in the response.
(dict) –
The result that’s associated with a time period.
TimePeriod (dict) –
The time period that the result covers.
Start (string) –
The beginning of the time period. The start date is inclusive. For example, if
start
is2017-01-01
, Amazon Web Services retrieves cost and usage data starting at2017-01-01
up to the end date. The start date must be equal to or no later than the current date to avoid a validation error.End (string) –
The end of the time period. The end date is exclusive. For example, if
end
is2017-05-01
, Amazon Web Services retrieves cost and usage data from the start date up to, but not including,2017-05-01
.
Total (dict) –
The total amount of cost or usage accrued during the time period.
(string) –
(dict) –
The aggregated value for a metric.
Amount (string) –
The actual number that represents the metric.
Unit (string) –
The unit that the metric is given in.
Groups (list) –
The groups that this time period includes.
(dict) –
One level of grouped data in the results.
Keys (list) –
The keys that are included in this group.
(string) –
Metrics (dict) –
The metrics that are included in this group.
(string) –
(dict) –
The aggregated value for a metric.
Amount (string) –
The actual number that represents the metric.
Unit (string) –
The unit that the metric is given in.
Estimated (boolean) –
Determines whether the result is estimated.
DimensionValueAttributes (list) –
The attributes that apply to a specific dimension value. For example, if the value is a linked account, the attribute is that account name.
(dict) –
The metadata of a specific type that you can use to filter and group your results. You can use
GetDimensionValues
to find specific values.Value (string) –
The value of a dimension with a specific attribute.
Attributes (dict) –
The attribute that applies to a specific
Dimension
.(string) –
(string) –
Exceptions
CostExplorer.Client.exceptions.DataUnavailableException
CostExplorer.Client.exceptions.LimitExceededException
CostExplorer.Client.exceptions.BillExpirationException
CostExplorer.Client.exceptions.InvalidNextTokenException
CostExplorer.Client.exceptions.RequestChangedException