package Paws::CostExplorer::GetCostForecast; use Moose; has Filter => (is => 'ro', isa => 'Paws::CostExplorer::Expression'); has Granularity => (is => 'ro', isa => 'Str', required => 1); has Metric => (is => 'ro', isa => 'Str', required => 1); has PredictionIntervalLevel => (is => 'ro', isa => 'Int'); has TimePeriod => (is => 'ro', isa => 'Paws::CostExplorer::DateInterval', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'GetCostForecast'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::CostExplorer::GetCostForecastResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::CostExplorer::GetCostForecast - Arguments for method GetCostForecast on L =head1 DESCRIPTION This class represents the parameters used for calling the method GetCostForecast on the L service. Use the attributes of this class as arguments to method GetCostForecast. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to GetCostForecast. =head1 SYNOPSIS my $ce = Paws->service('CostExplorer'); my $GetCostForecastResponse = $ce->GetCostForecast( Granularity => 'DAILY', Metric => 'BLENDED_COST', TimePeriod => { End => 'MyYearMonthDay', # max: 40 Start => 'MyYearMonthDay', # max: 40 }, Filter => { And => [ , ... ], # OPTIONAL CostCategories => { Key => 'MyCostCategoryName', # min: 1, max: 50; OPTIONAL MatchOptions => [ 'EQUALS', ... # values: EQUALS, ABSENT, STARTS_WITH, ENDS_WITH, CONTAINS, CASE_SENSITIVE, CASE_INSENSITIVE ], # OPTIONAL Values => [ 'MyValue', ... # max: 1024 ], # OPTIONAL }, # OPTIONAL Dimensions => { Key => 'AZ' , # values: 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; OPTIONAL MatchOptions => [ 'EQUALS', ... # values: EQUALS, ABSENT, STARTS_WITH, ENDS_WITH, CONTAINS, CASE_SENSITIVE, CASE_INSENSITIVE ], # OPTIONAL Values => [ 'MyValue', ... # max: 1024 ], # OPTIONAL }, # OPTIONAL Not => , Or => [ , ... ], # OPTIONAL Tags => { Key => 'MyTagKey', # max: 1024; OPTIONAL MatchOptions => [ 'EQUALS', ... # values: EQUALS, ABSENT, STARTS_WITH, ENDS_WITH, CONTAINS, CASE_SENSITIVE, CASE_INSENSITIVE ], # OPTIONAL Values => [ 'MyValue', ... # max: 1024 ], # OPTIONAL }, # OPTIONAL }, # OPTIONAL PredictionIntervalLevel => 1, # OPTIONAL ); # Results: my $ForecastResultsByTime = $GetCostForecastResponse->ForecastResultsByTime; my $Total = $GetCostForecastResponse->Total; # Returns a L object. Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 Filter => L The filters that you want to use to filter your forecast. The C API supports filtering by the following dimensions: =over =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =item * C =back =head2 B Granularity => Str How granular you want the forecast to be. You can get 3 months of C forecasts or 12 months of C forecasts. The C operation supports only C and C granularities. Valid values are: C<"DAILY">, C<"MONTHLY">, C<"HOURLY"> =head2 B Metric => Str Which metric Cost Explorer uses to create your forecast. For more information about blended and unblended rates, see Why does the "blended" annotation appear on some line items in my bill? (http://aws.amazon.com/premiumsupport/knowledge-center/blended-rates-intro/). Valid values for a C call are the following: =over =item * AMORTIZED_COST =item * BLENDED_COST =item * NET_AMORTIZED_COST =item * NET_UNBLENDED_COST =item * UNBLENDED_COST =back Valid values are: C<"BLENDED_COST">, C<"UNBLENDED_COST">, C<"AMORTIZED_COST">, C<"NET_UNBLENDED_COST">, C<"NET_AMORTIZED_COST">, C<"USAGE_QUANTITY">, C<"NORMALIZED_USAGE_AMOUNT"> =head2 PredictionIntervalLevel => Int Cost Explorer always returns the mean forecast as a single point. You can request a prediction interval around the mean by specifying a confidence level. The higher the confidence level, the more confident Cost Explorer is about the actual value falling in the prediction interval. Higher confidence levels result in wider prediction intervals. =head2 B TimePeriod => L The period of time that you want the forecast to cover. The start date must be equal to or no later than the current date to avoid a validation error. =head1 SEE ALSO This class forms part of L, documenting arguments for method GetCostForecast in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut