amazonka-sagemaker-2.0: gen/Amazonka/SageMaker/Types/LabelingJobS3DataSource.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.SageMaker.Types.LabelingJobS3DataSource
-- 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.SageMaker.Types.LabelingJobS3DataSource where
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import qualified Amazonka.Prelude as Prelude
-- | The Amazon S3 location of the input data objects.
--
-- /See:/ 'newLabelingJobS3DataSource' smart constructor.
data LabelingJobS3DataSource = LabelingJobS3DataSource'
{ -- | The Amazon S3 location of the manifest file that describes the input
-- data objects.
--
-- The input manifest file referenced in @ManifestS3Uri@ must contain one
-- of the following keys: @source-ref@ or @source@. The value of the keys
-- are interpreted as follows:
--
-- - @source-ref@: The source of the object is the Amazon S3 object
-- specified in the value. Use this value when the object is a binary
-- object, such as an image.
--
-- - @source@: The source of the object is the value. Use this value when
-- the object is a text value.
--
-- If you are a new user of Ground Truth, it is recommended you review
-- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-input-data-input-manifest.html Use an Input Manifest File>
-- in the Amazon SageMaker Developer Guide to learn how to create an input
-- manifest file.
manifestS3Uri :: Prelude.Text
}
deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)
-- |
-- Create a value of 'LabelingJobS3DataSource' 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:
--
-- 'manifestS3Uri', 'labelingJobS3DataSource_manifestS3Uri' - The Amazon S3 location of the manifest file that describes the input
-- data objects.
--
-- The input manifest file referenced in @ManifestS3Uri@ must contain one
-- of the following keys: @source-ref@ or @source@. The value of the keys
-- are interpreted as follows:
--
-- - @source-ref@: The source of the object is the Amazon S3 object
-- specified in the value. Use this value when the object is a binary
-- object, such as an image.
--
-- - @source@: The source of the object is the value. Use this value when
-- the object is a text value.
--
-- If you are a new user of Ground Truth, it is recommended you review
-- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-input-data-input-manifest.html Use an Input Manifest File>
-- in the Amazon SageMaker Developer Guide to learn how to create an input
-- manifest file.
newLabelingJobS3DataSource ::
-- | 'manifestS3Uri'
Prelude.Text ->
LabelingJobS3DataSource
newLabelingJobS3DataSource pManifestS3Uri_ =
LabelingJobS3DataSource'
{ manifestS3Uri =
pManifestS3Uri_
}
-- | The Amazon S3 location of the manifest file that describes the input
-- data objects.
--
-- The input manifest file referenced in @ManifestS3Uri@ must contain one
-- of the following keys: @source-ref@ or @source@. The value of the keys
-- are interpreted as follows:
--
-- - @source-ref@: The source of the object is the Amazon S3 object
-- specified in the value. Use this value when the object is a binary
-- object, such as an image.
--
-- - @source@: The source of the object is the value. Use this value when
-- the object is a text value.
--
-- If you are a new user of Ground Truth, it is recommended you review
-- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-input-data-input-manifest.html Use an Input Manifest File>
-- in the Amazon SageMaker Developer Guide to learn how to create an input
-- manifest file.
labelingJobS3DataSource_manifestS3Uri :: Lens.Lens' LabelingJobS3DataSource Prelude.Text
labelingJobS3DataSource_manifestS3Uri = Lens.lens (\LabelingJobS3DataSource' {manifestS3Uri} -> manifestS3Uri) (\s@LabelingJobS3DataSource' {} a -> s {manifestS3Uri = a} :: LabelingJobS3DataSource)
instance Data.FromJSON LabelingJobS3DataSource where
parseJSON =
Data.withObject
"LabelingJobS3DataSource"
( \x ->
LabelingJobS3DataSource'
Prelude.<$> (x Data..: "ManifestS3Uri")
)
instance Prelude.Hashable LabelingJobS3DataSource where
hashWithSalt _salt LabelingJobS3DataSource' {..} =
_salt `Prelude.hashWithSalt` manifestS3Uri
instance Prelude.NFData LabelingJobS3DataSource where
rnf LabelingJobS3DataSource' {..} =
Prelude.rnf manifestS3Uri
instance Data.ToJSON LabelingJobS3DataSource where
toJSON LabelingJobS3DataSource' {..} =
Data.object
( Prelude.catMaybes
[ Prelude.Just
("ManifestS3Uri" Data..= manifestS3Uri)
]
)