amazonka-ml-2.0: gen/Amazonka/MachineLearning/Waiters.hs
{-# LANGUAGE DisambiguateRecordFields #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE StrictData #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
-- Derived from AWS service descriptions, licensed under Apache 2.0.
-- |
-- Module : Amazonka.MachineLearning.Waiters
-- 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.MachineLearning.Waiters where
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import Amazonka.MachineLearning.DescribeBatchPredictions
import Amazonka.MachineLearning.DescribeDataSources
import Amazonka.MachineLearning.DescribeEvaluations
import Amazonka.MachineLearning.DescribeMLModels
import Amazonka.MachineLearning.Lens
import Amazonka.MachineLearning.Types
import qualified Amazonka.Prelude as Prelude
-- | Polls 'Amazonka.MachineLearning.DescribeBatchPredictions' every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.
newBatchPredictionAvailable :: Core.Wait DescribeBatchPredictions
newBatchPredictionAvailable =
Core.Wait
{ Core.name = "BatchPredictionAvailable",
Core.attempts = 60,
Core.delay = 30,
Core.acceptors =
[ Core.matchAll
"COMPLETED"
Core.AcceptSuccess
( Lens.folding
( Lens.concatOf
( describeBatchPredictionsResponse_results
Prelude.. Lens._Just
)
)
Prelude.. batchPrediction_status
Prelude.. Lens._Just
Prelude.. Lens.to Data.toTextCI
),
Core.matchAny
"FAILED"
Core.AcceptFailure
( Lens.folding
( Lens.concatOf
( describeBatchPredictionsResponse_results
Prelude.. Lens._Just
)
)
Prelude.. batchPrediction_status
Prelude.. Lens._Just
Prelude.. Lens.to Data.toTextCI
)
]
}
-- | Polls 'Amazonka.MachineLearning.DescribeDataSources' every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.
newDataSourceAvailable :: Core.Wait DescribeDataSources
newDataSourceAvailable =
Core.Wait
{ Core.name = "DataSourceAvailable",
Core.attempts = 60,
Core.delay = 30,
Core.acceptors =
[ Core.matchAll
"COMPLETED"
Core.AcceptSuccess
( Lens.folding
( Lens.concatOf
( describeDataSourcesResponse_results
Prelude.. Lens._Just
)
)
Prelude.. dataSource_status
Prelude.. Lens._Just
Prelude.. Lens.to Data.toTextCI
),
Core.matchAny
"FAILED"
Core.AcceptFailure
( Lens.folding
( Lens.concatOf
( describeDataSourcesResponse_results
Prelude.. Lens._Just
)
)
Prelude.. dataSource_status
Prelude.. Lens._Just
Prelude.. Lens.to Data.toTextCI
)
]
}
-- | Polls 'Amazonka.MachineLearning.DescribeEvaluations' every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.
newEvaluationAvailable :: Core.Wait DescribeEvaluations
newEvaluationAvailable =
Core.Wait
{ Core.name = "EvaluationAvailable",
Core.attempts = 60,
Core.delay = 30,
Core.acceptors =
[ Core.matchAll
"COMPLETED"
Core.AcceptSuccess
( Lens.folding
( Lens.concatOf
( describeEvaluationsResponse_results
Prelude.. Lens._Just
)
)
Prelude.. evaluation_status
Prelude.. Lens._Just
Prelude.. Lens.to Data.toTextCI
),
Core.matchAny
"FAILED"
Core.AcceptFailure
( Lens.folding
( Lens.concatOf
( describeEvaluationsResponse_results
Prelude.. Lens._Just
)
)
Prelude.. evaluation_status
Prelude.. Lens._Just
Prelude.. Lens.to Data.toTextCI
)
]
}
-- | Polls 'Amazonka.MachineLearning.DescribeMLModels' every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.
newMLModelAvailable :: Core.Wait DescribeMLModels
newMLModelAvailable =
Core.Wait
{ Core.name = "MLModelAvailable",
Core.attempts = 60,
Core.delay = 30,
Core.acceptors =
[ Core.matchAll
"COMPLETED"
Core.AcceptSuccess
( Lens.folding
( Lens.concatOf
( describeMLModelsResponse_results
Prelude.. Lens._Just
)
)
Prelude.. mLModel_status
Prelude.. Lens._Just
Prelude.. Lens.to Data.toTextCI
),
Core.matchAny
"FAILED"
Core.AcceptFailure
( Lens.folding
( Lens.concatOf
( describeMLModelsResponse_results
Prelude.. Lens._Just
)
)
Prelude.. mLModel_status
Prelude.. Lens._Just
Prelude.. Lens.to Data.toTextCI
)
]
}