{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DuplicateRecordFields #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE StrictData #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# OPTIONS_GHC -fno-warn-unused-binds #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
{-# OPTIONS_GHC -fno-warn-unused-matches #-}

-- Derived from AWS service descriptions, licensed under Apache 2.0.

-- |
-- Module      : Amazonka.Forecast.CreateDataset
-- Copyright   : (c) 2013-2023 Brendan Hay
-- License     : Mozilla Public License, v. 2.0.
-- Maintainer  : Brendan Hay
-- Stability   : auto-generated
-- Portability : non-portable (GHC extensions)
--
-- Creates an Amazon Forecast dataset. The information about the dataset
-- that you provide helps Forecast understand how to consume the data for
-- model training. This includes the following:
--
-- -   /@DataFrequency@/ - How frequently your historical time-series data
--     is collected.
--
-- -   /@Domain@/ and /@DatasetType@/ - Each dataset has an associated
--     dataset domain and a type within the domain. Amazon Forecast
--     provides a list of predefined domains and types within each domain.
--     For each unique dataset domain and type within the domain, Amazon
--     Forecast requires your data to include a minimum set of predefined
--     fields.
--
-- -   /@Schema@/ - A schema specifies the fields in the dataset, including
--     the field name and data type.
--
-- After creating a dataset, you import your training data into it and add
-- the dataset to a dataset group. You use the dataset group to create a
-- predictor. For more information, see
-- <https://docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html Importing datasets>.
--
-- To get a list of all your datasets, use the
-- <https://docs.aws.amazon.com/forecast/latest/dg/API_ListDatasets.html ListDatasets>
-- operation.
--
-- For example Forecast datasets, see the
-- <https://github.com/aws-samples/amazon-forecast-samples Amazon Forecast Sample GitHub repository>.
--
-- The @Status@ of a dataset must be @ACTIVE@ before you can import
-- training data. Use the
-- <https://docs.aws.amazon.com/forecast/latest/dg/API_DescribeDataset.html DescribeDataset>
-- operation to get the status.
module Amazonka.Forecast.CreateDataset
  ( -- * Creating a Request
    CreateDataset (..),
    newCreateDataset,

    -- * Request Lenses
    createDataset_dataFrequency,
    createDataset_encryptionConfig,
    createDataset_tags,
    createDataset_datasetName,
    createDataset_domain,
    createDataset_datasetType,
    createDataset_schema,

    -- * Destructuring the Response
    CreateDatasetResponse (..),
    newCreateDatasetResponse,

    -- * Response Lenses
    createDatasetResponse_datasetArn,
    createDatasetResponse_httpStatus,
  )
where

import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import Amazonka.Forecast.Types
import qualified Amazonka.Prelude as Prelude
import qualified Amazonka.Request as Request
import qualified Amazonka.Response as Response

-- | /See:/ 'newCreateDataset' smart constructor.
data CreateDataset = CreateDataset'
  { -- | The frequency of data collection. This parameter is required for
    -- RELATED_TIME_SERIES datasets.
    --
    -- Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour),
    -- 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5
    -- minutes), and 1min (1 minute). For example, \"D\" indicates every day
    -- and \"15min\" indicates every 15 minutes.
    CreateDataset -> Maybe Text
dataFrequency :: Prelude.Maybe Prelude.Text,
    -- | An AWS Key Management Service (KMS) key and the AWS Identity and Access
    -- Management (IAM) role that Amazon Forecast can assume to access the key.
    CreateDataset -> Maybe EncryptionConfig
encryptionConfig :: Prelude.Maybe EncryptionConfig,
    -- | The optional metadata that you apply to the dataset to help you
    -- categorize and organize them. Each tag consists of a key and an optional
    -- value, both of which you define.
    --
    -- The following basic restrictions apply to tags:
    --
    -- -   Maximum number of tags per resource - 50.
    --
    -- -   For each resource, each tag key must be unique, and each tag key can
    --     have only one value.
    --
    -- -   Maximum key length - 128 Unicode characters in UTF-8.
    --
    -- -   Maximum value length - 256 Unicode characters in UTF-8.
    --
    -- -   If your tagging schema is used across multiple services and
    --     resources, remember that other services may have restrictions on
    --     allowed characters. Generally allowed characters are: letters,
    --     numbers, and spaces representable in UTF-8, and the following
    --     characters: + - = . _ : \/ \@.
    --
    -- -   Tag keys and values are case sensitive.
    --
    -- -   Do not use @aws:@, @AWS:@, or any upper or lowercase combination of
    --     such as a prefix for keys as it is reserved for AWS use. You cannot
    --     edit or delete tag keys with this prefix. Values can have this
    --     prefix. If a tag value has @aws@ as its prefix but the key does not,
    --     then Forecast considers it to be a user tag and will count against
    --     the limit of 50 tags. Tags with only the key prefix of @aws@ do not
    --     count against your tags per resource limit.
    CreateDataset -> Maybe [Tag]
tags :: Prelude.Maybe [Tag],
    -- | A name for the dataset.
    CreateDataset -> Text
datasetName :: Prelude.Text,
    -- | The domain associated with the dataset. When you add a dataset to a
    -- dataset group, this value and the value specified for the @Domain@
    -- parameter of the
    -- <https://docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetGroup.html CreateDatasetGroup>
    -- operation must match.
    --
    -- The @Domain@ and @DatasetType@ that you choose determine the fields that
    -- must be present in the training data that you import to the dataset. For
    -- example, if you choose the @RETAIL@ domain and @TARGET_TIME_SERIES@ as
    -- the @DatasetType@, Amazon Forecast requires @item_id@, @timestamp@, and
    -- @demand@ fields to be present in your data. For more information, see
    -- <https://docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html Importing datasets>.
    CreateDataset -> Domain
domain :: Domain,
    -- | The dataset type. Valid values depend on the chosen @Domain@.
    CreateDataset -> DatasetType
datasetType :: DatasetType,
    -- | The schema for the dataset. The schema attributes and their order must
    -- match the fields in your data. The dataset @Domain@ and @DatasetType@
    -- that you choose determine the minimum required fields in your training
    -- data. For information about the required fields for a specific dataset
    -- domain and type, see
    -- <https://docs.aws.amazon.com/forecast/latest/dg/howitworks-domains-ds-types.html Dataset Domains and Dataset Types>.
    CreateDataset -> Schema
schema :: Schema
  }
  deriving (CreateDataset -> CreateDataset -> Bool
forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a
/= :: CreateDataset -> CreateDataset -> Bool
$c/= :: CreateDataset -> CreateDataset -> Bool
== :: CreateDataset -> CreateDataset -> Bool
$c== :: CreateDataset -> CreateDataset -> Bool
Prelude.Eq, Int -> CreateDataset -> ShowS
[CreateDataset] -> ShowS
CreateDataset -> String
forall a.
(Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a
showList :: [CreateDataset] -> ShowS
$cshowList :: [CreateDataset] -> ShowS
show :: CreateDataset -> String
$cshow :: CreateDataset -> String
showsPrec :: Int -> CreateDataset -> ShowS
$cshowsPrec :: Int -> CreateDataset -> ShowS
Prelude.Show, forall x. Rep CreateDataset x -> CreateDataset
forall x. CreateDataset -> Rep CreateDataset x
forall a.
(forall x. a -> Rep a x) -> (forall x. Rep a x -> a) -> Generic a
$cto :: forall x. Rep CreateDataset x -> CreateDataset
$cfrom :: forall x. CreateDataset -> Rep CreateDataset x
Prelude.Generic)

-- |
-- Create a value of 'CreateDataset' 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:
--
-- 'dataFrequency', 'createDataset_dataFrequency' - The frequency of data collection. This parameter is required for
-- RELATED_TIME_SERIES datasets.
--
-- Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour),
-- 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5
-- minutes), and 1min (1 minute). For example, \"D\" indicates every day
-- and \"15min\" indicates every 15 minutes.
--
-- 'encryptionConfig', 'createDataset_encryptionConfig' - An AWS Key Management Service (KMS) key and the AWS Identity and Access
-- Management (IAM) role that Amazon Forecast can assume to access the key.
--
-- 'tags', 'createDataset_tags' - The optional metadata that you apply to the dataset to help you
-- categorize and organize them. Each tag consists of a key and an optional
-- value, both of which you define.
--
-- The following basic restrictions apply to tags:
--
-- -   Maximum number of tags per resource - 50.
--
-- -   For each resource, each tag key must be unique, and each tag key can
--     have only one value.
--
-- -   Maximum key length - 128 Unicode characters in UTF-8.
--
-- -   Maximum value length - 256 Unicode characters in UTF-8.
--
-- -   If your tagging schema is used across multiple services and
--     resources, remember that other services may have restrictions on
--     allowed characters. Generally allowed characters are: letters,
--     numbers, and spaces representable in UTF-8, and the following
--     characters: + - = . _ : \/ \@.
--
-- -   Tag keys and values are case sensitive.
--
-- -   Do not use @aws:@, @AWS:@, or any upper or lowercase combination of
--     such as a prefix for keys as it is reserved for AWS use. You cannot
--     edit or delete tag keys with this prefix. Values can have this
--     prefix. If a tag value has @aws@ as its prefix but the key does not,
--     then Forecast considers it to be a user tag and will count against
--     the limit of 50 tags. Tags with only the key prefix of @aws@ do not
--     count against your tags per resource limit.
--
-- 'datasetName', 'createDataset_datasetName' - A name for the dataset.
--
-- 'domain', 'createDataset_domain' - The domain associated with the dataset. When you add a dataset to a
-- dataset group, this value and the value specified for the @Domain@
-- parameter of the
-- <https://docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetGroup.html CreateDatasetGroup>
-- operation must match.
--
-- The @Domain@ and @DatasetType@ that you choose determine the fields that
-- must be present in the training data that you import to the dataset. For
-- example, if you choose the @RETAIL@ domain and @TARGET_TIME_SERIES@ as
-- the @DatasetType@, Amazon Forecast requires @item_id@, @timestamp@, and
-- @demand@ fields to be present in your data. For more information, see
-- <https://docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html Importing datasets>.
--
-- 'datasetType', 'createDataset_datasetType' - The dataset type. Valid values depend on the chosen @Domain@.
--
-- 'schema', 'createDataset_schema' - The schema for the dataset. The schema attributes and their order must
-- match the fields in your data. The dataset @Domain@ and @DatasetType@
-- that you choose determine the minimum required fields in your training
-- data. For information about the required fields for a specific dataset
-- domain and type, see
-- <https://docs.aws.amazon.com/forecast/latest/dg/howitworks-domains-ds-types.html Dataset Domains and Dataset Types>.
newCreateDataset ::
  -- | 'datasetName'
  Prelude.Text ->
  -- | 'domain'
  Domain ->
  -- | 'datasetType'
  DatasetType ->
  -- | 'schema'
  Schema ->
  CreateDataset
newCreateDataset :: Text -> Domain -> DatasetType -> Schema -> CreateDataset
newCreateDataset
  Text
pDatasetName_
  Domain
pDomain_
  DatasetType
pDatasetType_
  Schema
pSchema_ =
    CreateDataset'
      { $sel:dataFrequency:CreateDataset' :: Maybe Text
dataFrequency = forall a. Maybe a
Prelude.Nothing,
        $sel:encryptionConfig:CreateDataset' :: Maybe EncryptionConfig
encryptionConfig = forall a. Maybe a
Prelude.Nothing,
        $sel:tags:CreateDataset' :: Maybe [Tag]
tags = forall a. Maybe a
Prelude.Nothing,
        $sel:datasetName:CreateDataset' :: Text
datasetName = Text
pDatasetName_,
        $sel:domain:CreateDataset' :: Domain
domain = Domain
pDomain_,
        $sel:datasetType:CreateDataset' :: DatasetType
datasetType = DatasetType
pDatasetType_,
        $sel:schema:CreateDataset' :: Schema
schema = Schema
pSchema_
      }

-- | The frequency of data collection. This parameter is required for
-- RELATED_TIME_SERIES datasets.
--
-- Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour),
-- 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5
-- minutes), and 1min (1 minute). For example, \"D\" indicates every day
-- and \"15min\" indicates every 15 minutes.
createDataset_dataFrequency :: Lens.Lens' CreateDataset (Prelude.Maybe Prelude.Text)
createDataset_dataFrequency :: Lens' CreateDataset (Maybe Text)
createDataset_dataFrequency = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\CreateDataset' {Maybe Text
dataFrequency :: Maybe Text
$sel:dataFrequency:CreateDataset' :: CreateDataset -> Maybe Text
dataFrequency} -> Maybe Text
dataFrequency) (\s :: CreateDataset
s@CreateDataset' {} Maybe Text
a -> CreateDataset
s {$sel:dataFrequency:CreateDataset' :: Maybe Text
dataFrequency = Maybe Text
a} :: CreateDataset)

-- | An AWS Key Management Service (KMS) key and the AWS Identity and Access
-- Management (IAM) role that Amazon Forecast can assume to access the key.
createDataset_encryptionConfig :: Lens.Lens' CreateDataset (Prelude.Maybe EncryptionConfig)
createDataset_encryptionConfig :: Lens' CreateDataset (Maybe EncryptionConfig)
createDataset_encryptionConfig = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\CreateDataset' {Maybe EncryptionConfig
encryptionConfig :: Maybe EncryptionConfig
$sel:encryptionConfig:CreateDataset' :: CreateDataset -> Maybe EncryptionConfig
encryptionConfig} -> Maybe EncryptionConfig
encryptionConfig) (\s :: CreateDataset
s@CreateDataset' {} Maybe EncryptionConfig
a -> CreateDataset
s {$sel:encryptionConfig:CreateDataset' :: Maybe EncryptionConfig
encryptionConfig = Maybe EncryptionConfig
a} :: CreateDataset)

-- | The optional metadata that you apply to the dataset to help you
-- categorize and organize them. Each tag consists of a key and an optional
-- value, both of which you define.
--
-- The following basic restrictions apply to tags:
--
-- -   Maximum number of tags per resource - 50.
--
-- -   For each resource, each tag key must be unique, and each tag key can
--     have only one value.
--
-- -   Maximum key length - 128 Unicode characters in UTF-8.
--
-- -   Maximum value length - 256 Unicode characters in UTF-8.
--
-- -   If your tagging schema is used across multiple services and
--     resources, remember that other services may have restrictions on
--     allowed characters. Generally allowed characters are: letters,
--     numbers, and spaces representable in UTF-8, and the following
--     characters: + - = . _ : \/ \@.
--
-- -   Tag keys and values are case sensitive.
--
-- -   Do not use @aws:@, @AWS:@, or any upper or lowercase combination of
--     such as a prefix for keys as it is reserved for AWS use. You cannot
--     edit or delete tag keys with this prefix. Values can have this
--     prefix. If a tag value has @aws@ as its prefix but the key does not,
--     then Forecast considers it to be a user tag and will count against
--     the limit of 50 tags. Tags with only the key prefix of @aws@ do not
--     count against your tags per resource limit.
createDataset_tags :: Lens.Lens' CreateDataset (Prelude.Maybe [Tag])
createDataset_tags :: Lens' CreateDataset (Maybe [Tag])
createDataset_tags = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\CreateDataset' {Maybe [Tag]
tags :: Maybe [Tag]
$sel:tags:CreateDataset' :: CreateDataset -> Maybe [Tag]
tags} -> Maybe [Tag]
tags) (\s :: CreateDataset
s@CreateDataset' {} Maybe [Tag]
a -> CreateDataset
s {$sel:tags:CreateDataset' :: Maybe [Tag]
tags = Maybe [Tag]
a} :: CreateDataset) forall b c a. (b -> c) -> (a -> b) -> a -> c
Prelude.. forall (f :: * -> *) (g :: * -> *) s t a b.
(Functor f, Functor g) =>
AnIso s t a b -> Iso (f s) (g t) (f a) (g b)
Lens.mapping forall s t a b. (Coercible s a, Coercible t b) => Iso s t a b
Lens.coerced

-- | A name for the dataset.
createDataset_datasetName :: Lens.Lens' CreateDataset Prelude.Text
createDataset_datasetName :: Lens' CreateDataset Text
createDataset_datasetName = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\CreateDataset' {Text
datasetName :: Text
$sel:datasetName:CreateDataset' :: CreateDataset -> Text
datasetName} -> Text
datasetName) (\s :: CreateDataset
s@CreateDataset' {} Text
a -> CreateDataset
s {$sel:datasetName:CreateDataset' :: Text
datasetName = Text
a} :: CreateDataset)

-- | The domain associated with the dataset. When you add a dataset to a
-- dataset group, this value and the value specified for the @Domain@
-- parameter of the
-- <https://docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetGroup.html CreateDatasetGroup>
-- operation must match.
--
-- The @Domain@ and @DatasetType@ that you choose determine the fields that
-- must be present in the training data that you import to the dataset. For
-- example, if you choose the @RETAIL@ domain and @TARGET_TIME_SERIES@ as
-- the @DatasetType@, Amazon Forecast requires @item_id@, @timestamp@, and
-- @demand@ fields to be present in your data. For more information, see
-- <https://docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html Importing datasets>.
createDataset_domain :: Lens.Lens' CreateDataset Domain
createDataset_domain :: Lens' CreateDataset Domain
createDataset_domain = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\CreateDataset' {Domain
domain :: Domain
$sel:domain:CreateDataset' :: CreateDataset -> Domain
domain} -> Domain
domain) (\s :: CreateDataset
s@CreateDataset' {} Domain
a -> CreateDataset
s {$sel:domain:CreateDataset' :: Domain
domain = Domain
a} :: CreateDataset)

-- | The dataset type. Valid values depend on the chosen @Domain@.
createDataset_datasetType :: Lens.Lens' CreateDataset DatasetType
createDataset_datasetType :: Lens' CreateDataset DatasetType
createDataset_datasetType = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\CreateDataset' {DatasetType
datasetType :: DatasetType
$sel:datasetType:CreateDataset' :: CreateDataset -> DatasetType
datasetType} -> DatasetType
datasetType) (\s :: CreateDataset
s@CreateDataset' {} DatasetType
a -> CreateDataset
s {$sel:datasetType:CreateDataset' :: DatasetType
datasetType = DatasetType
a} :: CreateDataset)

-- | The schema for the dataset. The schema attributes and their order must
-- match the fields in your data. The dataset @Domain@ and @DatasetType@
-- that you choose determine the minimum required fields in your training
-- data. For information about the required fields for a specific dataset
-- domain and type, see
-- <https://docs.aws.amazon.com/forecast/latest/dg/howitworks-domains-ds-types.html Dataset Domains and Dataset Types>.
createDataset_schema :: Lens.Lens' CreateDataset Schema
createDataset_schema :: Lens' CreateDataset Schema
createDataset_schema = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\CreateDataset' {Schema
schema :: Schema
$sel:schema:CreateDataset' :: CreateDataset -> Schema
schema} -> Schema
schema) (\s :: CreateDataset
s@CreateDataset' {} Schema
a -> CreateDataset
s {$sel:schema:CreateDataset' :: Schema
schema = Schema
a} :: CreateDataset)

instance Core.AWSRequest CreateDataset where
  type
    AWSResponse CreateDataset =
      CreateDatasetResponse
  request :: (Service -> Service) -> CreateDataset -> Request CreateDataset
request Service -> Service
overrides =
    forall a. (ToRequest a, ToJSON a) => Service -> a -> Request a
Request.postJSON (Service -> Service
overrides Service
defaultService)
  response :: forall (m :: * -> *).
MonadResource m =>
(ByteStringLazy -> IO ByteStringLazy)
-> Service
-> Proxy CreateDataset
-> ClientResponse ClientBody
-> m (Either Error (ClientResponse (AWSResponse CreateDataset)))
response =
    forall (m :: * -> *) a.
MonadResource m =>
(Int -> ResponseHeaders -> Object -> Either String (AWSResponse a))
-> (ByteStringLazy -> IO ByteStringLazy)
-> Service
-> Proxy a
-> ClientResponse ClientBody
-> m (Either Error (ClientResponse (AWSResponse a)))
Response.receiveJSON
      ( \Int
s ResponseHeaders
h Object
x ->
          Maybe Text -> Int -> CreateDatasetResponse
CreateDatasetResponse'
            forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> (Object
x forall a. FromJSON a => Object -> Key -> Either String (Maybe a)
Data..?> Key
"DatasetArn")
            forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b
Prelude.<*> (forall (f :: * -> *) a. Applicative f => a -> f a
Prelude.pure (forall a. Enum a => a -> Int
Prelude.fromEnum Int
s))
      )

instance Prelude.Hashable CreateDataset where
  hashWithSalt :: Int -> CreateDataset -> Int
hashWithSalt Int
_salt CreateDataset' {Maybe [Tag]
Maybe Text
Maybe EncryptionConfig
Text
DatasetType
Domain
Schema
schema :: Schema
datasetType :: DatasetType
domain :: Domain
datasetName :: Text
tags :: Maybe [Tag]
encryptionConfig :: Maybe EncryptionConfig
dataFrequency :: Maybe Text
$sel:schema:CreateDataset' :: CreateDataset -> Schema
$sel:datasetType:CreateDataset' :: CreateDataset -> DatasetType
$sel:domain:CreateDataset' :: CreateDataset -> Domain
$sel:datasetName:CreateDataset' :: CreateDataset -> Text
$sel:tags:CreateDataset' :: CreateDataset -> Maybe [Tag]
$sel:encryptionConfig:CreateDataset' :: CreateDataset -> Maybe EncryptionConfig
$sel:dataFrequency:CreateDataset' :: CreateDataset -> Maybe Text
..} =
    Int
_salt
      forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe Text
dataFrequency
      forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe EncryptionConfig
encryptionConfig
      forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe [Tag]
tags
      forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Text
datasetName
      forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Domain
domain
      forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` DatasetType
datasetType
      forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Schema
schema

instance Prelude.NFData CreateDataset where
  rnf :: CreateDataset -> ()
rnf CreateDataset' {Maybe [Tag]
Maybe Text
Maybe EncryptionConfig
Text
DatasetType
Domain
Schema
schema :: Schema
datasetType :: DatasetType
domain :: Domain
datasetName :: Text
tags :: Maybe [Tag]
encryptionConfig :: Maybe EncryptionConfig
dataFrequency :: Maybe Text
$sel:schema:CreateDataset' :: CreateDataset -> Schema
$sel:datasetType:CreateDataset' :: CreateDataset -> DatasetType
$sel:domain:CreateDataset' :: CreateDataset -> Domain
$sel:datasetName:CreateDataset' :: CreateDataset -> Text
$sel:tags:CreateDataset' :: CreateDataset -> Maybe [Tag]
$sel:encryptionConfig:CreateDataset' :: CreateDataset -> Maybe EncryptionConfig
$sel:dataFrequency:CreateDataset' :: CreateDataset -> Maybe Text
..} =
    forall a. NFData a => a -> ()
Prelude.rnf Maybe Text
dataFrequency
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Maybe EncryptionConfig
encryptionConfig
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Maybe [Tag]
tags
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Text
datasetName
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Domain
domain
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf DatasetType
datasetType
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Schema
schema

instance Data.ToHeaders CreateDataset where
  toHeaders :: CreateDataset -> ResponseHeaders
toHeaders =
    forall a b. a -> b -> a
Prelude.const
      ( forall a. Monoid a => [a] -> a
Prelude.mconcat
          [ HeaderName
"X-Amz-Target"
              forall a. ToHeader a => HeaderName -> a -> ResponseHeaders
Data.=# ( ByteString
"AmazonForecast.CreateDataset" ::
                          Prelude.ByteString
                      ),
            HeaderName
"Content-Type"
              forall a. ToHeader a => HeaderName -> a -> ResponseHeaders
Data.=# ( ByteString
"application/x-amz-json-1.1" ::
                          Prelude.ByteString
                      )
          ]
      )

instance Data.ToJSON CreateDataset where
  toJSON :: CreateDataset -> Value
toJSON CreateDataset' {Maybe [Tag]
Maybe Text
Maybe EncryptionConfig
Text
DatasetType
Domain
Schema
schema :: Schema
datasetType :: DatasetType
domain :: Domain
datasetName :: Text
tags :: Maybe [Tag]
encryptionConfig :: Maybe EncryptionConfig
dataFrequency :: Maybe Text
$sel:schema:CreateDataset' :: CreateDataset -> Schema
$sel:datasetType:CreateDataset' :: CreateDataset -> DatasetType
$sel:domain:CreateDataset' :: CreateDataset -> Domain
$sel:datasetName:CreateDataset' :: CreateDataset -> Text
$sel:tags:CreateDataset' :: CreateDataset -> Maybe [Tag]
$sel:encryptionConfig:CreateDataset' :: CreateDataset -> Maybe EncryptionConfig
$sel:dataFrequency:CreateDataset' :: CreateDataset -> Maybe Text
..} =
    [Pair] -> Value
Data.object
      ( forall a. [Maybe a] -> [a]
Prelude.catMaybes
          [ (Key
"DataFrequency" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..=) forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> Maybe Text
dataFrequency,
            (Key
"EncryptionConfig" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..=)
              forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> Maybe EncryptionConfig
encryptionConfig,
            (Key
"Tags" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..=) forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> Maybe [Tag]
tags,
            forall a. a -> Maybe a
Prelude.Just (Key
"DatasetName" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..= Text
datasetName),
            forall a. a -> Maybe a
Prelude.Just (Key
"Domain" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..= Domain
domain),
            forall a. a -> Maybe a
Prelude.Just (Key
"DatasetType" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..= DatasetType
datasetType),
            forall a. a -> Maybe a
Prelude.Just (Key
"Schema" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..= Schema
schema)
          ]
      )

instance Data.ToPath CreateDataset where
  toPath :: CreateDataset -> ByteString
toPath = forall a b. a -> b -> a
Prelude.const ByteString
"/"

instance Data.ToQuery CreateDataset where
  toQuery :: CreateDataset -> QueryString
toQuery = forall a b. a -> b -> a
Prelude.const forall a. Monoid a => a
Prelude.mempty

-- | /See:/ 'newCreateDatasetResponse' smart constructor.
data CreateDatasetResponse = CreateDatasetResponse'
  { -- | The Amazon Resource Name (ARN) of the dataset.
    CreateDatasetResponse -> Maybe Text
datasetArn :: Prelude.Maybe Prelude.Text,
    -- | The response's http status code.
    CreateDatasetResponse -> Int
httpStatus :: Prelude.Int
  }
  deriving (CreateDatasetResponse -> CreateDatasetResponse -> Bool
forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a
/= :: CreateDatasetResponse -> CreateDatasetResponse -> Bool
$c/= :: CreateDatasetResponse -> CreateDatasetResponse -> Bool
== :: CreateDatasetResponse -> CreateDatasetResponse -> Bool
$c== :: CreateDatasetResponse -> CreateDatasetResponse -> Bool
Prelude.Eq, ReadPrec [CreateDatasetResponse]
ReadPrec CreateDatasetResponse
Int -> ReadS CreateDatasetResponse
ReadS [CreateDatasetResponse]
forall a.
(Int -> ReadS a)
-> ReadS [a] -> ReadPrec a -> ReadPrec [a] -> Read a
readListPrec :: ReadPrec [CreateDatasetResponse]
$creadListPrec :: ReadPrec [CreateDatasetResponse]
readPrec :: ReadPrec CreateDatasetResponse
$creadPrec :: ReadPrec CreateDatasetResponse
readList :: ReadS [CreateDatasetResponse]
$creadList :: ReadS [CreateDatasetResponse]
readsPrec :: Int -> ReadS CreateDatasetResponse
$creadsPrec :: Int -> ReadS CreateDatasetResponse
Prelude.Read, Int -> CreateDatasetResponse -> ShowS
[CreateDatasetResponse] -> ShowS
CreateDatasetResponse -> String
forall a.
(Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a
showList :: [CreateDatasetResponse] -> ShowS
$cshowList :: [CreateDatasetResponse] -> ShowS
show :: CreateDatasetResponse -> String
$cshow :: CreateDatasetResponse -> String
showsPrec :: Int -> CreateDatasetResponse -> ShowS
$cshowsPrec :: Int -> CreateDatasetResponse -> ShowS
Prelude.Show, forall x. Rep CreateDatasetResponse x -> CreateDatasetResponse
forall x. CreateDatasetResponse -> Rep CreateDatasetResponse x
forall a.
(forall x. a -> Rep a x) -> (forall x. Rep a x -> a) -> Generic a
$cto :: forall x. Rep CreateDatasetResponse x -> CreateDatasetResponse
$cfrom :: forall x. CreateDatasetResponse -> Rep CreateDatasetResponse x
Prelude.Generic)

-- |
-- Create a value of 'CreateDatasetResponse' 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:
--
-- 'datasetArn', 'createDatasetResponse_datasetArn' - The Amazon Resource Name (ARN) of the dataset.
--
-- 'httpStatus', 'createDatasetResponse_httpStatus' - The response's http status code.
newCreateDatasetResponse ::
  -- | 'httpStatus'
  Prelude.Int ->
  CreateDatasetResponse
newCreateDatasetResponse :: Int -> CreateDatasetResponse
newCreateDatasetResponse Int
pHttpStatus_ =
  CreateDatasetResponse'
    { $sel:datasetArn:CreateDatasetResponse' :: Maybe Text
datasetArn =
        forall a. Maybe a
Prelude.Nothing,
      $sel:httpStatus:CreateDatasetResponse' :: Int
httpStatus = Int
pHttpStatus_
    }

-- | The Amazon Resource Name (ARN) of the dataset.
createDatasetResponse_datasetArn :: Lens.Lens' CreateDatasetResponse (Prelude.Maybe Prelude.Text)
createDatasetResponse_datasetArn :: Lens' CreateDatasetResponse (Maybe Text)
createDatasetResponse_datasetArn = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\CreateDatasetResponse' {Maybe Text
datasetArn :: Maybe Text
$sel:datasetArn:CreateDatasetResponse' :: CreateDatasetResponse -> Maybe Text
datasetArn} -> Maybe Text
datasetArn) (\s :: CreateDatasetResponse
s@CreateDatasetResponse' {} Maybe Text
a -> CreateDatasetResponse
s {$sel:datasetArn:CreateDatasetResponse' :: Maybe Text
datasetArn = Maybe Text
a} :: CreateDatasetResponse)

-- | The response's http status code.
createDatasetResponse_httpStatus :: Lens.Lens' CreateDatasetResponse Prelude.Int
createDatasetResponse_httpStatus :: Lens' CreateDatasetResponse Int
createDatasetResponse_httpStatus = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\CreateDatasetResponse' {Int
httpStatus :: Int
$sel:httpStatus:CreateDatasetResponse' :: CreateDatasetResponse -> Int
httpStatus} -> Int
httpStatus) (\s :: CreateDatasetResponse
s@CreateDatasetResponse' {} Int
a -> CreateDatasetResponse
s {$sel:httpStatus:CreateDatasetResponse' :: Int
httpStatus = Int
a} :: CreateDatasetResponse)

instance Prelude.NFData CreateDatasetResponse where
  rnf :: CreateDatasetResponse -> ()
rnf CreateDatasetResponse' {Int
Maybe Text
httpStatus :: Int
datasetArn :: Maybe Text
$sel:httpStatus:CreateDatasetResponse' :: CreateDatasetResponse -> Int
$sel:datasetArn:CreateDatasetResponse' :: CreateDatasetResponse -> Maybe Text
..} =
    forall a. NFData a => a -> ()
Prelude.rnf Maybe Text
datasetArn
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Int
httpStatus