{-# 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.Comprehend.StartTargetedSentimentDetectionJob
-- Copyright   : (c) 2013-2023 Brendan Hay
-- License     : Mozilla Public License, v. 2.0.
-- Maintainer  : Brendan Hay
-- Stability   : auto-generated
-- Portability : non-portable (GHC extensions)
--
-- Starts an asynchronous targeted sentiment detection job for a collection
-- of documents. Use the operation to track the status of a job.
module Amazonka.Comprehend.StartTargetedSentimentDetectionJob
  ( -- * Creating a Request
    StartTargetedSentimentDetectionJob (..),
    newStartTargetedSentimentDetectionJob,

    -- * Request Lenses
    startTargetedSentimentDetectionJob_clientRequestToken,
    startTargetedSentimentDetectionJob_jobName,
    startTargetedSentimentDetectionJob_tags,
    startTargetedSentimentDetectionJob_volumeKmsKeyId,
    startTargetedSentimentDetectionJob_vpcConfig,
    startTargetedSentimentDetectionJob_inputDataConfig,
    startTargetedSentimentDetectionJob_outputDataConfig,
    startTargetedSentimentDetectionJob_dataAccessRoleArn,
    startTargetedSentimentDetectionJob_languageCode,

    -- * Destructuring the Response
    StartTargetedSentimentDetectionJobResponse (..),
    newStartTargetedSentimentDetectionJobResponse,

    -- * Response Lenses
    startTargetedSentimentDetectionJobResponse_jobArn,
    startTargetedSentimentDetectionJobResponse_jobId,
    startTargetedSentimentDetectionJobResponse_jobStatus,
    startTargetedSentimentDetectionJobResponse_httpStatus,
  )
where

import Amazonka.Comprehend.Types
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
import qualified Amazonka.Request as Request
import qualified Amazonka.Response as Response

-- | /See:/ 'newStartTargetedSentimentDetectionJob' smart constructor.
data StartTargetedSentimentDetectionJob = StartTargetedSentimentDetectionJob'
  { -- | A unique identifier for the request. If you don\'t set the client
    -- request token, Amazon Comprehend generates one.
    StartTargetedSentimentDetectionJob -> Maybe Text
clientRequestToken :: Prelude.Maybe Prelude.Text,
    -- | The identifier of the job.
    StartTargetedSentimentDetectionJob -> Maybe Text
jobName :: Prelude.Maybe Prelude.Text,
    -- | Tags to be associated with the targeted sentiment detection job. A tag
    -- is a key-value pair that adds metadata to a resource used by Amazon
    -- Comprehend. For example, a tag with \"Sales\" as the key might be added
    -- to a resource to indicate its use by the sales department.
    StartTargetedSentimentDetectionJob -> Maybe [Tag]
tags :: Prelude.Maybe [Tag],
    -- | ID for the KMS key that Amazon Comprehend uses to encrypt data on the
    -- storage volume attached to the ML compute instance(s) that process the
    -- analysis job. The VolumeKmsKeyId can be either of the following formats:
    --
    -- -   KMS Key ID: @\"1234abcd-12ab-34cd-56ef-1234567890ab\"@
    --
    -- -   Amazon Resource Name (ARN) of a KMS Key:
    --     @\"arn:aws:kms:us-west-2:111122223333:key\/1234abcd-12ab-34cd-56ef-1234567890ab\"@
    StartTargetedSentimentDetectionJob -> Maybe Text
volumeKmsKeyId :: Prelude.Maybe Prelude.Text,
    StartTargetedSentimentDetectionJob -> Maybe VpcConfig
vpcConfig :: Prelude.Maybe VpcConfig,
    StartTargetedSentimentDetectionJob -> InputDataConfig
inputDataConfig :: InputDataConfig,
    -- | Specifies where to send the output files.
    StartTargetedSentimentDetectionJob -> OutputDataConfig
outputDataConfig :: OutputDataConfig,
    -- | The Amazon Resource Name (ARN) of the AWS Identity and Access Management
    -- (IAM) role that grants Amazon Comprehend read access to your input data.
    -- For more information, see
    -- <https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions Role-based permissions>.
    StartTargetedSentimentDetectionJob -> Text
dataAccessRoleArn :: Prelude.Text,
    -- | The language of the input documents. Currently, English is the only
    -- supported language.
    StartTargetedSentimentDetectionJob -> LanguageCode
languageCode :: LanguageCode
  }
  deriving (StartTargetedSentimentDetectionJob
-> StartTargetedSentimentDetectionJob -> Bool
forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a
/= :: StartTargetedSentimentDetectionJob
-> StartTargetedSentimentDetectionJob -> Bool
$c/= :: StartTargetedSentimentDetectionJob
-> StartTargetedSentimentDetectionJob -> Bool
== :: StartTargetedSentimentDetectionJob
-> StartTargetedSentimentDetectionJob -> Bool
$c== :: StartTargetedSentimentDetectionJob
-> StartTargetedSentimentDetectionJob -> Bool
Prelude.Eq, ReadPrec [StartTargetedSentimentDetectionJob]
ReadPrec StartTargetedSentimentDetectionJob
Int -> ReadS StartTargetedSentimentDetectionJob
ReadS [StartTargetedSentimentDetectionJob]
forall a.
(Int -> ReadS a)
-> ReadS [a] -> ReadPrec a -> ReadPrec [a] -> Read a
readListPrec :: ReadPrec [StartTargetedSentimentDetectionJob]
$creadListPrec :: ReadPrec [StartTargetedSentimentDetectionJob]
readPrec :: ReadPrec StartTargetedSentimentDetectionJob
$creadPrec :: ReadPrec StartTargetedSentimentDetectionJob
readList :: ReadS [StartTargetedSentimentDetectionJob]
$creadList :: ReadS [StartTargetedSentimentDetectionJob]
readsPrec :: Int -> ReadS StartTargetedSentimentDetectionJob
$creadsPrec :: Int -> ReadS StartTargetedSentimentDetectionJob
Prelude.Read, Int -> StartTargetedSentimentDetectionJob -> ShowS
[StartTargetedSentimentDetectionJob] -> ShowS
StartTargetedSentimentDetectionJob -> String
forall a.
(Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a
showList :: [StartTargetedSentimentDetectionJob] -> ShowS
$cshowList :: [StartTargetedSentimentDetectionJob] -> ShowS
show :: StartTargetedSentimentDetectionJob -> String
$cshow :: StartTargetedSentimentDetectionJob -> String
showsPrec :: Int -> StartTargetedSentimentDetectionJob -> ShowS
$cshowsPrec :: Int -> StartTargetedSentimentDetectionJob -> ShowS
Prelude.Show, forall x.
Rep StartTargetedSentimentDetectionJob x
-> StartTargetedSentimentDetectionJob
forall x.
StartTargetedSentimentDetectionJob
-> Rep StartTargetedSentimentDetectionJob x
forall a.
(forall x. a -> Rep a x) -> (forall x. Rep a x -> a) -> Generic a
$cto :: forall x.
Rep StartTargetedSentimentDetectionJob x
-> StartTargetedSentimentDetectionJob
$cfrom :: forall x.
StartTargetedSentimentDetectionJob
-> Rep StartTargetedSentimentDetectionJob x
Prelude.Generic)

-- |
-- Create a value of 'StartTargetedSentimentDetectionJob' 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:
--
-- 'clientRequestToken', 'startTargetedSentimentDetectionJob_clientRequestToken' - A unique identifier for the request. If you don\'t set the client
-- request token, Amazon Comprehend generates one.
--
-- 'jobName', 'startTargetedSentimentDetectionJob_jobName' - The identifier of the job.
--
-- 'tags', 'startTargetedSentimentDetectionJob_tags' - Tags to be associated with the targeted sentiment detection job. A tag
-- is a key-value pair that adds metadata to a resource used by Amazon
-- Comprehend. For example, a tag with \"Sales\" as the key might be added
-- to a resource to indicate its use by the sales department.
--
-- 'volumeKmsKeyId', 'startTargetedSentimentDetectionJob_volumeKmsKeyId' - ID for the KMS key that Amazon Comprehend uses to encrypt data on the
-- storage volume attached to the ML compute instance(s) that process the
-- analysis job. The VolumeKmsKeyId can be either of the following formats:
--
-- -   KMS Key ID: @\"1234abcd-12ab-34cd-56ef-1234567890ab\"@
--
-- -   Amazon Resource Name (ARN) of a KMS Key:
--     @\"arn:aws:kms:us-west-2:111122223333:key\/1234abcd-12ab-34cd-56ef-1234567890ab\"@
--
-- 'vpcConfig', 'startTargetedSentimentDetectionJob_vpcConfig' - Undocumented member.
--
-- 'inputDataConfig', 'startTargetedSentimentDetectionJob_inputDataConfig' - Undocumented member.
--
-- 'outputDataConfig', 'startTargetedSentimentDetectionJob_outputDataConfig' - Specifies where to send the output files.
--
-- 'dataAccessRoleArn', 'startTargetedSentimentDetectionJob_dataAccessRoleArn' - The Amazon Resource Name (ARN) of the AWS Identity and Access Management
-- (IAM) role that grants Amazon Comprehend read access to your input data.
-- For more information, see
-- <https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions Role-based permissions>.
--
-- 'languageCode', 'startTargetedSentimentDetectionJob_languageCode' - The language of the input documents. Currently, English is the only
-- supported language.
newStartTargetedSentimentDetectionJob ::
  -- | 'inputDataConfig'
  InputDataConfig ->
  -- | 'outputDataConfig'
  OutputDataConfig ->
  -- | 'dataAccessRoleArn'
  Prelude.Text ->
  -- | 'languageCode'
  LanguageCode ->
  StartTargetedSentimentDetectionJob
newStartTargetedSentimentDetectionJob :: InputDataConfig
-> OutputDataConfig
-> Text
-> LanguageCode
-> StartTargetedSentimentDetectionJob
newStartTargetedSentimentDetectionJob
  InputDataConfig
pInputDataConfig_
  OutputDataConfig
pOutputDataConfig_
  Text
pDataAccessRoleArn_
  LanguageCode
pLanguageCode_ =
    StartTargetedSentimentDetectionJob'
      { $sel:clientRequestToken:StartTargetedSentimentDetectionJob' :: Maybe Text
clientRequestToken =
          forall a. Maybe a
Prelude.Nothing,
        $sel:jobName:StartTargetedSentimentDetectionJob' :: Maybe Text
jobName = forall a. Maybe a
Prelude.Nothing,
        $sel:tags:StartTargetedSentimentDetectionJob' :: Maybe [Tag]
tags = forall a. Maybe a
Prelude.Nothing,
        $sel:volumeKmsKeyId:StartTargetedSentimentDetectionJob' :: Maybe Text
volumeKmsKeyId = forall a. Maybe a
Prelude.Nothing,
        $sel:vpcConfig:StartTargetedSentimentDetectionJob' :: Maybe VpcConfig
vpcConfig = forall a. Maybe a
Prelude.Nothing,
        $sel:inputDataConfig:StartTargetedSentimentDetectionJob' :: InputDataConfig
inputDataConfig = InputDataConfig
pInputDataConfig_,
        $sel:outputDataConfig:StartTargetedSentimentDetectionJob' :: OutputDataConfig
outputDataConfig = OutputDataConfig
pOutputDataConfig_,
        $sel:dataAccessRoleArn:StartTargetedSentimentDetectionJob' :: Text
dataAccessRoleArn = Text
pDataAccessRoleArn_,
        $sel:languageCode:StartTargetedSentimentDetectionJob' :: LanguageCode
languageCode = LanguageCode
pLanguageCode_
      }

-- | A unique identifier for the request. If you don\'t set the client
-- request token, Amazon Comprehend generates one.
startTargetedSentimentDetectionJob_clientRequestToken :: Lens.Lens' StartTargetedSentimentDetectionJob (Prelude.Maybe Prelude.Text)
startTargetedSentimentDetectionJob_clientRequestToken :: Lens' StartTargetedSentimentDetectionJob (Maybe Text)
startTargetedSentimentDetectionJob_clientRequestToken = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJob' {Maybe Text
clientRequestToken :: Maybe Text
$sel:clientRequestToken:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
clientRequestToken} -> Maybe Text
clientRequestToken) (\s :: StartTargetedSentimentDetectionJob
s@StartTargetedSentimentDetectionJob' {} Maybe Text
a -> StartTargetedSentimentDetectionJob
s {$sel:clientRequestToken:StartTargetedSentimentDetectionJob' :: Maybe Text
clientRequestToken = Maybe Text
a} :: StartTargetedSentimentDetectionJob)

-- | The identifier of the job.
startTargetedSentimentDetectionJob_jobName :: Lens.Lens' StartTargetedSentimentDetectionJob (Prelude.Maybe Prelude.Text)
startTargetedSentimentDetectionJob_jobName :: Lens' StartTargetedSentimentDetectionJob (Maybe Text)
startTargetedSentimentDetectionJob_jobName = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJob' {Maybe Text
jobName :: Maybe Text
$sel:jobName:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
jobName} -> Maybe Text
jobName) (\s :: StartTargetedSentimentDetectionJob
s@StartTargetedSentimentDetectionJob' {} Maybe Text
a -> StartTargetedSentimentDetectionJob
s {$sel:jobName:StartTargetedSentimentDetectionJob' :: Maybe Text
jobName = Maybe Text
a} :: StartTargetedSentimentDetectionJob)

-- | Tags to be associated with the targeted sentiment detection job. A tag
-- is a key-value pair that adds metadata to a resource used by Amazon
-- Comprehend. For example, a tag with \"Sales\" as the key might be added
-- to a resource to indicate its use by the sales department.
startTargetedSentimentDetectionJob_tags :: Lens.Lens' StartTargetedSentimentDetectionJob (Prelude.Maybe [Tag])
startTargetedSentimentDetectionJob_tags :: Lens' StartTargetedSentimentDetectionJob (Maybe [Tag])
startTargetedSentimentDetectionJob_tags = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJob' {Maybe [Tag]
tags :: Maybe [Tag]
$sel:tags:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe [Tag]
tags} -> Maybe [Tag]
tags) (\s :: StartTargetedSentimentDetectionJob
s@StartTargetedSentimentDetectionJob' {} Maybe [Tag]
a -> StartTargetedSentimentDetectionJob
s {$sel:tags:StartTargetedSentimentDetectionJob' :: Maybe [Tag]
tags = Maybe [Tag]
a} :: StartTargetedSentimentDetectionJob) 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

-- | ID for the KMS key that Amazon Comprehend uses to encrypt data on the
-- storage volume attached to the ML compute instance(s) that process the
-- analysis job. The VolumeKmsKeyId can be either of the following formats:
--
-- -   KMS Key ID: @\"1234abcd-12ab-34cd-56ef-1234567890ab\"@
--
-- -   Amazon Resource Name (ARN) of a KMS Key:
--     @\"arn:aws:kms:us-west-2:111122223333:key\/1234abcd-12ab-34cd-56ef-1234567890ab\"@
startTargetedSentimentDetectionJob_volumeKmsKeyId :: Lens.Lens' StartTargetedSentimentDetectionJob (Prelude.Maybe Prelude.Text)
startTargetedSentimentDetectionJob_volumeKmsKeyId :: Lens' StartTargetedSentimentDetectionJob (Maybe Text)
startTargetedSentimentDetectionJob_volumeKmsKeyId = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJob' {Maybe Text
volumeKmsKeyId :: Maybe Text
$sel:volumeKmsKeyId:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
volumeKmsKeyId} -> Maybe Text
volumeKmsKeyId) (\s :: StartTargetedSentimentDetectionJob
s@StartTargetedSentimentDetectionJob' {} Maybe Text
a -> StartTargetedSentimentDetectionJob
s {$sel:volumeKmsKeyId:StartTargetedSentimentDetectionJob' :: Maybe Text
volumeKmsKeyId = Maybe Text
a} :: StartTargetedSentimentDetectionJob)

-- | Undocumented member.
startTargetedSentimentDetectionJob_vpcConfig :: Lens.Lens' StartTargetedSentimentDetectionJob (Prelude.Maybe VpcConfig)
startTargetedSentimentDetectionJob_vpcConfig :: Lens' StartTargetedSentimentDetectionJob (Maybe VpcConfig)
startTargetedSentimentDetectionJob_vpcConfig = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJob' {Maybe VpcConfig
vpcConfig :: Maybe VpcConfig
$sel:vpcConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe VpcConfig
vpcConfig} -> Maybe VpcConfig
vpcConfig) (\s :: StartTargetedSentimentDetectionJob
s@StartTargetedSentimentDetectionJob' {} Maybe VpcConfig
a -> StartTargetedSentimentDetectionJob
s {$sel:vpcConfig:StartTargetedSentimentDetectionJob' :: Maybe VpcConfig
vpcConfig = Maybe VpcConfig
a} :: StartTargetedSentimentDetectionJob)

-- | Undocumented member.
startTargetedSentimentDetectionJob_inputDataConfig :: Lens.Lens' StartTargetedSentimentDetectionJob InputDataConfig
startTargetedSentimentDetectionJob_inputDataConfig :: Lens' StartTargetedSentimentDetectionJob InputDataConfig
startTargetedSentimentDetectionJob_inputDataConfig = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJob' {InputDataConfig
inputDataConfig :: InputDataConfig
$sel:inputDataConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> InputDataConfig
inputDataConfig} -> InputDataConfig
inputDataConfig) (\s :: StartTargetedSentimentDetectionJob
s@StartTargetedSentimentDetectionJob' {} InputDataConfig
a -> StartTargetedSentimentDetectionJob
s {$sel:inputDataConfig:StartTargetedSentimentDetectionJob' :: InputDataConfig
inputDataConfig = InputDataConfig
a} :: StartTargetedSentimentDetectionJob)

-- | Specifies where to send the output files.
startTargetedSentimentDetectionJob_outputDataConfig :: Lens.Lens' StartTargetedSentimentDetectionJob OutputDataConfig
startTargetedSentimentDetectionJob_outputDataConfig :: Lens' StartTargetedSentimentDetectionJob OutputDataConfig
startTargetedSentimentDetectionJob_outputDataConfig = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJob' {OutputDataConfig
outputDataConfig :: OutputDataConfig
$sel:outputDataConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> OutputDataConfig
outputDataConfig} -> OutputDataConfig
outputDataConfig) (\s :: StartTargetedSentimentDetectionJob
s@StartTargetedSentimentDetectionJob' {} OutputDataConfig
a -> StartTargetedSentimentDetectionJob
s {$sel:outputDataConfig:StartTargetedSentimentDetectionJob' :: OutputDataConfig
outputDataConfig = OutputDataConfig
a} :: StartTargetedSentimentDetectionJob)

-- | The Amazon Resource Name (ARN) of the AWS Identity and Access Management
-- (IAM) role that grants Amazon Comprehend read access to your input data.
-- For more information, see
-- <https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions Role-based permissions>.
startTargetedSentimentDetectionJob_dataAccessRoleArn :: Lens.Lens' StartTargetedSentimentDetectionJob Prelude.Text
startTargetedSentimentDetectionJob_dataAccessRoleArn :: Lens' StartTargetedSentimentDetectionJob Text
startTargetedSentimentDetectionJob_dataAccessRoleArn = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJob' {Text
dataAccessRoleArn :: Text
$sel:dataAccessRoleArn:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Text
dataAccessRoleArn} -> Text
dataAccessRoleArn) (\s :: StartTargetedSentimentDetectionJob
s@StartTargetedSentimentDetectionJob' {} Text
a -> StartTargetedSentimentDetectionJob
s {$sel:dataAccessRoleArn:StartTargetedSentimentDetectionJob' :: Text
dataAccessRoleArn = Text
a} :: StartTargetedSentimentDetectionJob)

-- | The language of the input documents. Currently, English is the only
-- supported language.
startTargetedSentimentDetectionJob_languageCode :: Lens.Lens' StartTargetedSentimentDetectionJob LanguageCode
startTargetedSentimentDetectionJob_languageCode :: Lens' StartTargetedSentimentDetectionJob LanguageCode
startTargetedSentimentDetectionJob_languageCode = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJob' {LanguageCode
languageCode :: LanguageCode
$sel:languageCode:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> LanguageCode
languageCode} -> LanguageCode
languageCode) (\s :: StartTargetedSentimentDetectionJob
s@StartTargetedSentimentDetectionJob' {} LanguageCode
a -> StartTargetedSentimentDetectionJob
s {$sel:languageCode:StartTargetedSentimentDetectionJob' :: LanguageCode
languageCode = LanguageCode
a} :: StartTargetedSentimentDetectionJob)

instance
  Core.AWSRequest
    StartTargetedSentimentDetectionJob
  where
  type
    AWSResponse StartTargetedSentimentDetectionJob =
      StartTargetedSentimentDetectionJobResponse
  request :: (Service -> Service)
-> StartTargetedSentimentDetectionJob
-> Request StartTargetedSentimentDetectionJob
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 StartTargetedSentimentDetectionJob
-> ClientResponse ClientBody
-> m (Either
        Error
        (ClientResponse (AWSResponse StartTargetedSentimentDetectionJob)))
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
-> Maybe Text
-> Maybe JobStatus
-> Int
-> StartTargetedSentimentDetectionJobResponse
StartTargetedSentimentDetectionJobResponse'
            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
"JobArn")
            forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b
Prelude.<*> (Object
x forall a. FromJSON a => Object -> Key -> Either String (Maybe a)
Data..?> Key
"JobId")
            forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b
Prelude.<*> (Object
x forall a. FromJSON a => Object -> Key -> Either String (Maybe a)
Data..?> Key
"JobStatus")
            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
    StartTargetedSentimentDetectionJob
  where
  hashWithSalt :: Int -> StartTargetedSentimentDetectionJob -> Int
hashWithSalt
    Int
_salt
    StartTargetedSentimentDetectionJob' {Maybe [Tag]
Maybe Text
Maybe VpcConfig
Text
InputDataConfig
LanguageCode
OutputDataConfig
languageCode :: LanguageCode
dataAccessRoleArn :: Text
outputDataConfig :: OutputDataConfig
inputDataConfig :: InputDataConfig
vpcConfig :: Maybe VpcConfig
volumeKmsKeyId :: Maybe Text
tags :: Maybe [Tag]
jobName :: Maybe Text
clientRequestToken :: Maybe Text
$sel:languageCode:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> LanguageCode
$sel:dataAccessRoleArn:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Text
$sel:outputDataConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> OutputDataConfig
$sel:inputDataConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> InputDataConfig
$sel:vpcConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe VpcConfig
$sel:volumeKmsKeyId:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
$sel:tags:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe [Tag]
$sel:jobName:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
$sel:clientRequestToken:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
..} =
      Int
_salt
        forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe Text
clientRequestToken
        forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe Text
jobName
        forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe [Tag]
tags
        forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe Text
volumeKmsKeyId
        forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe VpcConfig
vpcConfig
        forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` InputDataConfig
inputDataConfig
        forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` OutputDataConfig
outputDataConfig
        forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Text
dataAccessRoleArn
        forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` LanguageCode
languageCode

instance
  Prelude.NFData
    StartTargetedSentimentDetectionJob
  where
  rnf :: StartTargetedSentimentDetectionJob -> ()
rnf StartTargetedSentimentDetectionJob' {Maybe [Tag]
Maybe Text
Maybe VpcConfig
Text
InputDataConfig
LanguageCode
OutputDataConfig
languageCode :: LanguageCode
dataAccessRoleArn :: Text
outputDataConfig :: OutputDataConfig
inputDataConfig :: InputDataConfig
vpcConfig :: Maybe VpcConfig
volumeKmsKeyId :: Maybe Text
tags :: Maybe [Tag]
jobName :: Maybe Text
clientRequestToken :: Maybe Text
$sel:languageCode:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> LanguageCode
$sel:dataAccessRoleArn:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Text
$sel:outputDataConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> OutputDataConfig
$sel:inputDataConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> InputDataConfig
$sel:vpcConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe VpcConfig
$sel:volumeKmsKeyId:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
$sel:tags:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe [Tag]
$sel:jobName:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
$sel:clientRequestToken:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
..} =
    forall a. NFData a => a -> ()
Prelude.rnf Maybe Text
clientRequestToken
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Maybe Text
jobName
      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 Maybe Text
volumeKmsKeyId
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Maybe VpcConfig
vpcConfig
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf InputDataConfig
inputDataConfig
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf OutputDataConfig
outputDataConfig
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Text
dataAccessRoleArn
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf LanguageCode
languageCode

instance
  Data.ToHeaders
    StartTargetedSentimentDetectionJob
  where
  toHeaders :: StartTargetedSentimentDetectionJob -> 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
"Comprehend_20171127.StartTargetedSentimentDetectionJob" ::
                          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
    StartTargetedSentimentDetectionJob
  where
  toJSON :: StartTargetedSentimentDetectionJob -> Value
toJSON StartTargetedSentimentDetectionJob' {Maybe [Tag]
Maybe Text
Maybe VpcConfig
Text
InputDataConfig
LanguageCode
OutputDataConfig
languageCode :: LanguageCode
dataAccessRoleArn :: Text
outputDataConfig :: OutputDataConfig
inputDataConfig :: InputDataConfig
vpcConfig :: Maybe VpcConfig
volumeKmsKeyId :: Maybe Text
tags :: Maybe [Tag]
jobName :: Maybe Text
clientRequestToken :: Maybe Text
$sel:languageCode:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> LanguageCode
$sel:dataAccessRoleArn:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Text
$sel:outputDataConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> OutputDataConfig
$sel:inputDataConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> InputDataConfig
$sel:vpcConfig:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe VpcConfig
$sel:volumeKmsKeyId:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
$sel:tags:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe [Tag]
$sel:jobName:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
$sel:clientRequestToken:StartTargetedSentimentDetectionJob' :: StartTargetedSentimentDetectionJob -> Maybe Text
..} =
    [Pair] -> Value
Data.object
      ( forall a. [Maybe a] -> [a]
Prelude.catMaybes
          [ (Key
"ClientRequestToken" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..=)
              forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> Maybe Text
clientRequestToken,
            (Key
"JobName" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..=) forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> Maybe Text
jobName,
            (Key
"Tags" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..=) forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> Maybe [Tag]
tags,
            (Key
"VolumeKmsKeyId" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..=)
              forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> Maybe Text
volumeKmsKeyId,
            (Key
"VpcConfig" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..=) forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> Maybe VpcConfig
vpcConfig,
            forall a. a -> Maybe a
Prelude.Just
              (Key
"InputDataConfig" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..= InputDataConfig
inputDataConfig),
            forall a. a -> Maybe a
Prelude.Just
              (Key
"OutputDataConfig" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..= OutputDataConfig
outputDataConfig),
            forall a. a -> Maybe a
Prelude.Just
              (Key
"DataAccessRoleArn" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..= Text
dataAccessRoleArn),
            forall a. a -> Maybe a
Prelude.Just (Key
"LanguageCode" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv
Data..= LanguageCode
languageCode)
          ]
      )

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

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

-- | /See:/ 'newStartTargetedSentimentDetectionJobResponse' smart constructor.
data StartTargetedSentimentDetectionJobResponse = StartTargetedSentimentDetectionJobResponse'
  { -- | The Amazon Resource Name (ARN) of the targeted sentiment detection job.
    -- It is a unique, fully qualified identifier for the job. It includes the
    -- AWS account, Region, and the job ID. The format of the ARN is as
    -- follows:
    --
    -- @arn:\<partition>:comprehend:\<region>:\<account-id>:targeted-sentiment-detection-job\/\<job-id>@
    --
    -- The following is an example job ARN:
    --
    -- @arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job\/1234abcd12ab34cd56ef1234567890ab@
    StartTargetedSentimentDetectionJobResponse -> Maybe Text
jobArn :: Prelude.Maybe Prelude.Text,
    -- | The identifier generated for the job. To get the status of a job, use
    -- this identifier with the operation.
    StartTargetedSentimentDetectionJobResponse -> Maybe Text
jobId :: Prelude.Maybe Prelude.Text,
    -- | The status of the job.
    --
    -- -   SUBMITTED - The job has been received and is queued for processing.
    --
    -- -   IN_PROGRESS - Amazon Comprehend is processing the job.
    --
    -- -   COMPLETED - The job was successfully completed and the output is
    --     available.
    --
    -- -   FAILED - The job did not complete. To get details, use the
    --     operation.
    StartTargetedSentimentDetectionJobResponse -> Maybe JobStatus
jobStatus :: Prelude.Maybe JobStatus,
    -- | The response's http status code.
    StartTargetedSentimentDetectionJobResponse -> Int
httpStatus :: Prelude.Int
  }
  deriving (StartTargetedSentimentDetectionJobResponse
-> StartTargetedSentimentDetectionJobResponse -> Bool
forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a
/= :: StartTargetedSentimentDetectionJobResponse
-> StartTargetedSentimentDetectionJobResponse -> Bool
$c/= :: StartTargetedSentimentDetectionJobResponse
-> StartTargetedSentimentDetectionJobResponse -> Bool
== :: StartTargetedSentimentDetectionJobResponse
-> StartTargetedSentimentDetectionJobResponse -> Bool
$c== :: StartTargetedSentimentDetectionJobResponse
-> StartTargetedSentimentDetectionJobResponse -> Bool
Prelude.Eq, ReadPrec [StartTargetedSentimentDetectionJobResponse]
ReadPrec StartTargetedSentimentDetectionJobResponse
Int -> ReadS StartTargetedSentimentDetectionJobResponse
ReadS [StartTargetedSentimentDetectionJobResponse]
forall a.
(Int -> ReadS a)
-> ReadS [a] -> ReadPrec a -> ReadPrec [a] -> Read a
readListPrec :: ReadPrec [StartTargetedSentimentDetectionJobResponse]
$creadListPrec :: ReadPrec [StartTargetedSentimentDetectionJobResponse]
readPrec :: ReadPrec StartTargetedSentimentDetectionJobResponse
$creadPrec :: ReadPrec StartTargetedSentimentDetectionJobResponse
readList :: ReadS [StartTargetedSentimentDetectionJobResponse]
$creadList :: ReadS [StartTargetedSentimentDetectionJobResponse]
readsPrec :: Int -> ReadS StartTargetedSentimentDetectionJobResponse
$creadsPrec :: Int -> ReadS StartTargetedSentimentDetectionJobResponse
Prelude.Read, Int -> StartTargetedSentimentDetectionJobResponse -> ShowS
[StartTargetedSentimentDetectionJobResponse] -> ShowS
StartTargetedSentimentDetectionJobResponse -> String
forall a.
(Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a
showList :: [StartTargetedSentimentDetectionJobResponse] -> ShowS
$cshowList :: [StartTargetedSentimentDetectionJobResponse] -> ShowS
show :: StartTargetedSentimentDetectionJobResponse -> String
$cshow :: StartTargetedSentimentDetectionJobResponse -> String
showsPrec :: Int -> StartTargetedSentimentDetectionJobResponse -> ShowS
$cshowsPrec :: Int -> StartTargetedSentimentDetectionJobResponse -> ShowS
Prelude.Show, forall x.
Rep StartTargetedSentimentDetectionJobResponse x
-> StartTargetedSentimentDetectionJobResponse
forall x.
StartTargetedSentimentDetectionJobResponse
-> Rep StartTargetedSentimentDetectionJobResponse x
forall a.
(forall x. a -> Rep a x) -> (forall x. Rep a x -> a) -> Generic a
$cto :: forall x.
Rep StartTargetedSentimentDetectionJobResponse x
-> StartTargetedSentimentDetectionJobResponse
$cfrom :: forall x.
StartTargetedSentimentDetectionJobResponse
-> Rep StartTargetedSentimentDetectionJobResponse x
Prelude.Generic)

-- |
-- Create a value of 'StartTargetedSentimentDetectionJobResponse' 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:
--
-- 'jobArn', 'startTargetedSentimentDetectionJobResponse_jobArn' - The Amazon Resource Name (ARN) of the targeted sentiment detection job.
-- It is a unique, fully qualified identifier for the job. It includes the
-- AWS account, Region, and the job ID. The format of the ARN is as
-- follows:
--
-- @arn:\<partition>:comprehend:\<region>:\<account-id>:targeted-sentiment-detection-job\/\<job-id>@
--
-- The following is an example job ARN:
--
-- @arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job\/1234abcd12ab34cd56ef1234567890ab@
--
-- 'jobId', 'startTargetedSentimentDetectionJobResponse_jobId' - The identifier generated for the job. To get the status of a job, use
-- this identifier with the operation.
--
-- 'jobStatus', 'startTargetedSentimentDetectionJobResponse_jobStatus' - The status of the job.
--
-- -   SUBMITTED - The job has been received and is queued for processing.
--
-- -   IN_PROGRESS - Amazon Comprehend is processing the job.
--
-- -   COMPLETED - The job was successfully completed and the output is
--     available.
--
-- -   FAILED - The job did not complete. To get details, use the
--     operation.
--
-- 'httpStatus', 'startTargetedSentimentDetectionJobResponse_httpStatus' - The response's http status code.
newStartTargetedSentimentDetectionJobResponse ::
  -- | 'httpStatus'
  Prelude.Int ->
  StartTargetedSentimentDetectionJobResponse
newStartTargetedSentimentDetectionJobResponse :: Int -> StartTargetedSentimentDetectionJobResponse
newStartTargetedSentimentDetectionJobResponse
  Int
pHttpStatus_ =
    StartTargetedSentimentDetectionJobResponse'
      { $sel:jobArn:StartTargetedSentimentDetectionJobResponse' :: Maybe Text
jobArn =
          forall a. Maybe a
Prelude.Nothing,
        $sel:jobId:StartTargetedSentimentDetectionJobResponse' :: Maybe Text
jobId = forall a. Maybe a
Prelude.Nothing,
        $sel:jobStatus:StartTargetedSentimentDetectionJobResponse' :: Maybe JobStatus
jobStatus = forall a. Maybe a
Prelude.Nothing,
        $sel:httpStatus:StartTargetedSentimentDetectionJobResponse' :: Int
httpStatus = Int
pHttpStatus_
      }

-- | The Amazon Resource Name (ARN) of the targeted sentiment detection job.
-- It is a unique, fully qualified identifier for the job. It includes the
-- AWS account, Region, and the job ID. The format of the ARN is as
-- follows:
--
-- @arn:\<partition>:comprehend:\<region>:\<account-id>:targeted-sentiment-detection-job\/\<job-id>@
--
-- The following is an example job ARN:
--
-- @arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job\/1234abcd12ab34cd56ef1234567890ab@
startTargetedSentimentDetectionJobResponse_jobArn :: Lens.Lens' StartTargetedSentimentDetectionJobResponse (Prelude.Maybe Prelude.Text)
startTargetedSentimentDetectionJobResponse_jobArn :: Lens' StartTargetedSentimentDetectionJobResponse (Maybe Text)
startTargetedSentimentDetectionJobResponse_jobArn = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJobResponse' {Maybe Text
jobArn :: Maybe Text
$sel:jobArn:StartTargetedSentimentDetectionJobResponse' :: StartTargetedSentimentDetectionJobResponse -> Maybe Text
jobArn} -> Maybe Text
jobArn) (\s :: StartTargetedSentimentDetectionJobResponse
s@StartTargetedSentimentDetectionJobResponse' {} Maybe Text
a -> StartTargetedSentimentDetectionJobResponse
s {$sel:jobArn:StartTargetedSentimentDetectionJobResponse' :: Maybe Text
jobArn = Maybe Text
a} :: StartTargetedSentimentDetectionJobResponse)

-- | The identifier generated for the job. To get the status of a job, use
-- this identifier with the operation.
startTargetedSentimentDetectionJobResponse_jobId :: Lens.Lens' StartTargetedSentimentDetectionJobResponse (Prelude.Maybe Prelude.Text)
startTargetedSentimentDetectionJobResponse_jobId :: Lens' StartTargetedSentimentDetectionJobResponse (Maybe Text)
startTargetedSentimentDetectionJobResponse_jobId = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJobResponse' {Maybe Text
jobId :: Maybe Text
$sel:jobId:StartTargetedSentimentDetectionJobResponse' :: StartTargetedSentimentDetectionJobResponse -> Maybe Text
jobId} -> Maybe Text
jobId) (\s :: StartTargetedSentimentDetectionJobResponse
s@StartTargetedSentimentDetectionJobResponse' {} Maybe Text
a -> StartTargetedSentimentDetectionJobResponse
s {$sel:jobId:StartTargetedSentimentDetectionJobResponse' :: Maybe Text
jobId = Maybe Text
a} :: StartTargetedSentimentDetectionJobResponse)

-- | The status of the job.
--
-- -   SUBMITTED - The job has been received and is queued for processing.
--
-- -   IN_PROGRESS - Amazon Comprehend is processing the job.
--
-- -   COMPLETED - The job was successfully completed and the output is
--     available.
--
-- -   FAILED - The job did not complete. To get details, use the
--     operation.
startTargetedSentimentDetectionJobResponse_jobStatus :: Lens.Lens' StartTargetedSentimentDetectionJobResponse (Prelude.Maybe JobStatus)
startTargetedSentimentDetectionJobResponse_jobStatus :: Lens' StartTargetedSentimentDetectionJobResponse (Maybe JobStatus)
startTargetedSentimentDetectionJobResponse_jobStatus = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\StartTargetedSentimentDetectionJobResponse' {Maybe JobStatus
jobStatus :: Maybe JobStatus
$sel:jobStatus:StartTargetedSentimentDetectionJobResponse' :: StartTargetedSentimentDetectionJobResponse -> Maybe JobStatus
jobStatus} -> Maybe JobStatus
jobStatus) (\s :: StartTargetedSentimentDetectionJobResponse
s@StartTargetedSentimentDetectionJobResponse' {} Maybe JobStatus
a -> StartTargetedSentimentDetectionJobResponse
s {$sel:jobStatus:StartTargetedSentimentDetectionJobResponse' :: Maybe JobStatus
jobStatus = Maybe JobStatus
a} :: StartTargetedSentimentDetectionJobResponse)

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

instance
  Prelude.NFData
    StartTargetedSentimentDetectionJobResponse
  where
  rnf :: StartTargetedSentimentDetectionJobResponse -> ()
rnf StartTargetedSentimentDetectionJobResponse' {Int
Maybe Text
Maybe JobStatus
httpStatus :: Int
jobStatus :: Maybe JobStatus
jobId :: Maybe Text
jobArn :: Maybe Text
$sel:httpStatus:StartTargetedSentimentDetectionJobResponse' :: StartTargetedSentimentDetectionJobResponse -> Int
$sel:jobStatus:StartTargetedSentimentDetectionJobResponse' :: StartTargetedSentimentDetectionJobResponse -> Maybe JobStatus
$sel:jobId:StartTargetedSentimentDetectionJobResponse' :: StartTargetedSentimentDetectionJobResponse -> Maybe Text
$sel:jobArn:StartTargetedSentimentDetectionJobResponse' :: StartTargetedSentimentDetectionJobResponse -> Maybe Text
..} =
    forall a. NFData a => a -> ()
Prelude.rnf Maybe Text
jobArn
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Maybe Text
jobId
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Maybe JobStatus
jobStatus
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Int
httpStatus