amazonka-glue-2.0: gen/Amazonka/Glue/Types/PIIDetection.hs
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DuplicateRecordFields #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE StrictData #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
{-# OPTIONS_GHC -fno-warn-unused-matches #-}
-- Derived from AWS service descriptions, licensed under Apache 2.0.
-- |
-- Module : Amazonka.Glue.Types.PIIDetection
-- Copyright : (c) 2013-2023 Brendan Hay
-- License : Mozilla Public License, v. 2.0.
-- Maintainer : Brendan Hay
-- Stability : auto-generated
-- Portability : non-portable (GHC extensions)
module Amazonka.Glue.Types.PIIDetection where
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import Amazonka.Glue.Types.PiiType
import qualified Amazonka.Prelude as Prelude
-- | Specifies a transform that identifies, removes or masks PII data.
--
-- /See:/ 'newPIIDetection' smart constructor.
data PIIDetection = PIIDetection'
{ -- | Indicates the value that will replace the detected entity.
maskValue :: Prelude.Maybe Prelude.Text,
-- | Indicates the output column name that will contain any entity type
-- detected in that row.
outputColumnName :: Prelude.Maybe Prelude.Text,
-- | Indicates the fraction of the data to sample when scanning for PII
-- entities.
sampleFraction :: Prelude.Maybe Prelude.Double,
-- | Indicates the fraction of the data that must be met in order for a
-- column to be identified as PII data.
thresholdFraction :: Prelude.Maybe Prelude.Double,
-- | The name of the transform node.
name :: Prelude.Text,
-- | The node ID inputs to the transform.
inputs :: Prelude.NonEmpty Prelude.Text,
-- | Indicates the type of PIIDetection transform.
piiType :: PiiType,
-- | Indicates the types of entities the PIIDetection transform will identify
-- as PII data.
--
-- PII type entities include: PERSON_NAME, DATE, USA_SNN, EMAIL, USA_ITIN,
-- USA_PASSPORT_NUMBER, PHONE_NUMBER, BANK_ACCOUNT, IP_ADDRESS,
-- MAC_ADDRESS, USA_CPT_CODE, USA_HCPCS_CODE, USA_NATIONAL_DRUG_CODE,
-- USA_MEDICARE_BENEFICIARY_IDENTIFIER,
-- USA_HEALTH_INSURANCE_CLAIM_NUMBER,CREDIT_CARD,USA_NATIONAL_PROVIDER_IDENTIFIER,USA_DEA_NUMBER,USA_DRIVING_LICENSE
entityTypesToDetect :: [Prelude.Text]
}
deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)
-- |
-- Create a value of 'PIIDetection' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'maskValue', 'pIIDetection_maskValue' - Indicates the value that will replace the detected entity.
--
-- 'outputColumnName', 'pIIDetection_outputColumnName' - Indicates the output column name that will contain any entity type
-- detected in that row.
--
-- 'sampleFraction', 'pIIDetection_sampleFraction' - Indicates the fraction of the data to sample when scanning for PII
-- entities.
--
-- 'thresholdFraction', 'pIIDetection_thresholdFraction' - Indicates the fraction of the data that must be met in order for a
-- column to be identified as PII data.
--
-- 'name', 'pIIDetection_name' - The name of the transform node.
--
-- 'inputs', 'pIIDetection_inputs' - The node ID inputs to the transform.
--
-- 'piiType', 'pIIDetection_piiType' - Indicates the type of PIIDetection transform.
--
-- 'entityTypesToDetect', 'pIIDetection_entityTypesToDetect' - Indicates the types of entities the PIIDetection transform will identify
-- as PII data.
--
-- PII type entities include: PERSON_NAME, DATE, USA_SNN, EMAIL, USA_ITIN,
-- USA_PASSPORT_NUMBER, PHONE_NUMBER, BANK_ACCOUNT, IP_ADDRESS,
-- MAC_ADDRESS, USA_CPT_CODE, USA_HCPCS_CODE, USA_NATIONAL_DRUG_CODE,
-- USA_MEDICARE_BENEFICIARY_IDENTIFIER,
-- USA_HEALTH_INSURANCE_CLAIM_NUMBER,CREDIT_CARD,USA_NATIONAL_PROVIDER_IDENTIFIER,USA_DEA_NUMBER,USA_DRIVING_LICENSE
newPIIDetection ::
-- | 'name'
Prelude.Text ->
-- | 'inputs'
Prelude.NonEmpty Prelude.Text ->
-- | 'piiType'
PiiType ->
PIIDetection
newPIIDetection pName_ pInputs_ pPiiType_ =
PIIDetection'
{ maskValue = Prelude.Nothing,
outputColumnName = Prelude.Nothing,
sampleFraction = Prelude.Nothing,
thresholdFraction = Prelude.Nothing,
name = pName_,
inputs = Lens.coerced Lens.# pInputs_,
piiType = pPiiType_,
entityTypesToDetect = Prelude.mempty
}
-- | Indicates the value that will replace the detected entity.
pIIDetection_maskValue :: Lens.Lens' PIIDetection (Prelude.Maybe Prelude.Text)
pIIDetection_maskValue = Lens.lens (\PIIDetection' {maskValue} -> maskValue) (\s@PIIDetection' {} a -> s {maskValue = a} :: PIIDetection)
-- | Indicates the output column name that will contain any entity type
-- detected in that row.
pIIDetection_outputColumnName :: Lens.Lens' PIIDetection (Prelude.Maybe Prelude.Text)
pIIDetection_outputColumnName = Lens.lens (\PIIDetection' {outputColumnName} -> outputColumnName) (\s@PIIDetection' {} a -> s {outputColumnName = a} :: PIIDetection)
-- | Indicates the fraction of the data to sample when scanning for PII
-- entities.
pIIDetection_sampleFraction :: Lens.Lens' PIIDetection (Prelude.Maybe Prelude.Double)
pIIDetection_sampleFraction = Lens.lens (\PIIDetection' {sampleFraction} -> sampleFraction) (\s@PIIDetection' {} a -> s {sampleFraction = a} :: PIIDetection)
-- | Indicates the fraction of the data that must be met in order for a
-- column to be identified as PII data.
pIIDetection_thresholdFraction :: Lens.Lens' PIIDetection (Prelude.Maybe Prelude.Double)
pIIDetection_thresholdFraction = Lens.lens (\PIIDetection' {thresholdFraction} -> thresholdFraction) (\s@PIIDetection' {} a -> s {thresholdFraction = a} :: PIIDetection)
-- | The name of the transform node.
pIIDetection_name :: Lens.Lens' PIIDetection Prelude.Text
pIIDetection_name = Lens.lens (\PIIDetection' {name} -> name) (\s@PIIDetection' {} a -> s {name = a} :: PIIDetection)
-- | The node ID inputs to the transform.
pIIDetection_inputs :: Lens.Lens' PIIDetection (Prelude.NonEmpty Prelude.Text)
pIIDetection_inputs = Lens.lens (\PIIDetection' {inputs} -> inputs) (\s@PIIDetection' {} a -> s {inputs = a} :: PIIDetection) Prelude.. Lens.coerced
-- | Indicates the type of PIIDetection transform.
pIIDetection_piiType :: Lens.Lens' PIIDetection PiiType
pIIDetection_piiType = Lens.lens (\PIIDetection' {piiType} -> piiType) (\s@PIIDetection' {} a -> s {piiType = a} :: PIIDetection)
-- | Indicates the types of entities the PIIDetection transform will identify
-- as PII data.
--
-- PII type entities include: PERSON_NAME, DATE, USA_SNN, EMAIL, USA_ITIN,
-- USA_PASSPORT_NUMBER, PHONE_NUMBER, BANK_ACCOUNT, IP_ADDRESS,
-- MAC_ADDRESS, USA_CPT_CODE, USA_HCPCS_CODE, USA_NATIONAL_DRUG_CODE,
-- USA_MEDICARE_BENEFICIARY_IDENTIFIER,
-- USA_HEALTH_INSURANCE_CLAIM_NUMBER,CREDIT_CARD,USA_NATIONAL_PROVIDER_IDENTIFIER,USA_DEA_NUMBER,USA_DRIVING_LICENSE
pIIDetection_entityTypesToDetect :: Lens.Lens' PIIDetection [Prelude.Text]
pIIDetection_entityTypesToDetect = Lens.lens (\PIIDetection' {entityTypesToDetect} -> entityTypesToDetect) (\s@PIIDetection' {} a -> s {entityTypesToDetect = a} :: PIIDetection) Prelude.. Lens.coerced
instance Data.FromJSON PIIDetection where
parseJSON =
Data.withObject
"PIIDetection"
( \x ->
PIIDetection'
Prelude.<$> (x Data..:? "MaskValue")
Prelude.<*> (x Data..:? "OutputColumnName")
Prelude.<*> (x Data..:? "SampleFraction")
Prelude.<*> (x Data..:? "ThresholdFraction")
Prelude.<*> (x Data..: "Name")
Prelude.<*> (x Data..: "Inputs")
Prelude.<*> (x Data..: "PiiType")
Prelude.<*> ( x
Data..:? "EntityTypesToDetect"
Data..!= Prelude.mempty
)
)
instance Prelude.Hashable PIIDetection where
hashWithSalt _salt PIIDetection' {..} =
_salt
`Prelude.hashWithSalt` maskValue
`Prelude.hashWithSalt` outputColumnName
`Prelude.hashWithSalt` sampleFraction
`Prelude.hashWithSalt` thresholdFraction
`Prelude.hashWithSalt` name
`Prelude.hashWithSalt` inputs
`Prelude.hashWithSalt` piiType
`Prelude.hashWithSalt` entityTypesToDetect
instance Prelude.NFData PIIDetection where
rnf PIIDetection' {..} =
Prelude.rnf maskValue
`Prelude.seq` Prelude.rnf outputColumnName
`Prelude.seq` Prelude.rnf sampleFraction
`Prelude.seq` Prelude.rnf thresholdFraction
`Prelude.seq` Prelude.rnf name
`Prelude.seq` Prelude.rnf inputs
`Prelude.seq` Prelude.rnf piiType
`Prelude.seq` Prelude.rnf entityTypesToDetect
instance Data.ToJSON PIIDetection where
toJSON PIIDetection' {..} =
Data.object
( Prelude.catMaybes
[ ("MaskValue" Data..=) Prelude.<$> maskValue,
("OutputColumnName" Data..=)
Prelude.<$> outputColumnName,
("SampleFraction" Data..=)
Prelude.<$> sampleFraction,
("ThresholdFraction" Data..=)
Prelude.<$> thresholdFraction,
Prelude.Just ("Name" Data..= name),
Prelude.Just ("Inputs" Data..= inputs),
Prelude.Just ("PiiType" Data..= piiType),
Prelude.Just
("EntityTypesToDetect" Data..= entityTypesToDetect)
]
)