Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.CostExplorer.Types.Impact

Description

Synopsis

data Impact = Impact' {
- totalActualSpend :: Maybe Double
- totalExpectedSpend :: Maybe Double
- totalImpact :: Maybe Double
- totalImpactPercentage :: Maybe Double
- maxImpact :: Double
}
newImpact :: Double -> Impact
impact_totalActualSpend :: Lens' Impact (Maybe Double)
impact_totalExpectedSpend :: Lens' Impact (Maybe Double)
impact_totalImpact :: Lens' Impact (Maybe Double)
impact_totalImpactPercentage :: Lens' Impact (Maybe Double)
impact_maxImpact :: Lens' Impact Double

Documentation

data Impact Source #

The dollar value of the anomaly.

See: newImpact smart constructor.

Constructors

Impact'

Fields

totalActualSpend :: Maybe Double
The cumulative dollar amount that was actually spent during the anomaly.
totalExpectedSpend :: Maybe Double
The cumulative dollar amount that was expected to be spent during the anomaly. It is calculated using advanced machine learning models to determine the typical spending pattern based on historical data for a customer.
totalImpact :: Maybe Double
The cumulative dollar difference between the total actual spend and total expected spend. It is calculated as TotalActualSpend - TotalExpectedSpend.
totalImpactPercentage :: Maybe Double
The cumulative percentage difference between the total actual spend and total expected spend. It is calculated as (TotalImpact / TotalExpectedSpend) * 100. When TotalExpectedSpend is zero, this field is omitted. Expected spend can be zero in situations such as when you start to use a service for the first time.
maxImpact :: Double
The maximum dollar value that's observed for an anomaly.

Instances

Instances details

FromJSON Impact Source #
Instance details Defined in Amazonka.CostExplorer.Types.Impact Methods parseJSON :: Value -> Parser Impact # parseJSONList :: Value -> Parser [Impact] #
Generic Impact Source #
Instance details Defined in Amazonka.CostExplorer.Types.Impact Associated Types type Rep Impact :: Type -> Type # Methods from :: Impact -> Rep Impact x # to :: Rep Impact x -> Impact #
Read Impact Source #
Instance details Defined in Amazonka.CostExplorer.Types.Impact Methods readsPrec :: Int -> ReadS Impact # readList :: ReadS [Impact] # readPrec :: ReadPrec Impact # readListPrec :: ReadPrec [Impact] #
Show Impact Source #
Instance details Defined in Amazonka.CostExplorer.Types.Impact Methods showsPrec :: Int -> Impact -> ShowS # show :: Impact -> String # showList :: [Impact] -> ShowS #
NFData Impact Source #
Instance details Defined in Amazonka.CostExplorer.Types.Impact Methods rnf :: Impact -> () #
Eq Impact Source #
Instance details Defined in Amazonka.CostExplorer.Types.Impact Methods (==) :: Impact -> Impact -> Bool # (/=) :: Impact -> Impact -> Bool #
Hashable Impact Source #
Instance details Defined in Amazonka.CostExplorer.Types.Impact Methods hashWithSalt :: Int -> Impact -> Int # hash :: Impact -> Int #
type Rep Impact Source #
Instance details Defined in Amazonka.CostExplorer.Types.Impact type Rep Impact = D1 ('MetaData "Impact" "Amazonka.CostExplorer.Types.Impact" "amazonka-cost-explorer-2.0-QqVzyVvst98QYs5s2Ea4h" 'False) (C1 ('MetaCons "Impact'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "totalActualSpend") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "totalExpectedSpend") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "totalImpact") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "totalImpactPercentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "maxImpact") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double)))))

newImpact Source #

Arguments

:: Double	`$sel:maxImpact:Impact'`
-> Impact

Create a value of Impact with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:totalActualSpend:Impact', impact_totalActualSpend - The cumulative dollar amount that was actually spent during the anomaly.

$sel:totalExpectedSpend:Impact', impact_totalExpectedSpend - The cumulative dollar amount that was expected to be spent during the anomaly. It is calculated using advanced machine learning models to determine the typical spending pattern based on historical data for a customer.

$sel:totalImpact:Impact', impact_totalImpact - The cumulative dollar difference between the total actual spend and total expected spend. It is calculated as TotalActualSpend - TotalExpectedSpend.

$sel:totalImpactPercentage:Impact', impact_totalImpactPercentage - The cumulative percentage difference between the total actual spend and total expected spend. It is calculated as (TotalImpact / TotalExpectedSpend) * 100. When TotalExpectedSpend is zero, this field is omitted. Expected spend can be zero in situations such as when you start to use a service for the first time.

$sel:maxImpact:Impact', impact_maxImpact - The maximum dollar value that's observed for an anomaly.

impact_totalActualSpend :: Lens' Impact (Maybe Double) Source #

The cumulative dollar amount that was actually spent during the anomaly.

impact_totalExpectedSpend :: Lens' Impact (Maybe Double) Source #

The cumulative dollar amount that was expected to be spent during the anomaly. It is calculated using advanced machine learning models to determine the typical spending pattern based on historical data for a customer.

impact_totalImpact :: Lens' Impact (Maybe Double) Source #

The cumulative dollar difference between the total actual spend and total expected spend. It is calculated as TotalActualSpend - TotalExpectedSpend.

impact_totalImpactPercentage :: Lens' Impact (Maybe Double) Source #

The cumulative percentage difference between the total actual spend and total expected spend. It is calculated as (TotalImpact / TotalExpectedSpend) * 100. When TotalExpectedSpend is zero, this field is omitted. Expected spend can be zero in situations such as when you start to use a service for the first time.

impact_maxImpact :: Lens' Impact Double Source #

The maximum dollar value that's observed for an anomaly.