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amazonka-comprehend-2.0: gen/Amazonka/Comprehend/StartTopicsDetectionJob.hs

{-# 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.StartTopicsDetectionJob
-- 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 topic detection job. Use the
-- @DescribeTopicDetectionJob@ operation to track the status of a job.
module Amazonka.Comprehend.StartTopicsDetectionJob
  ( -- * Creating a Request
    StartTopicsDetectionJob (..),
    newStartTopicsDetectionJob,

    -- * Request Lenses
    startTopicsDetectionJob_clientRequestToken,
    startTopicsDetectionJob_jobName,
    startTopicsDetectionJob_numberOfTopics,
    startTopicsDetectionJob_tags,
    startTopicsDetectionJob_volumeKmsKeyId,
    startTopicsDetectionJob_vpcConfig,
    startTopicsDetectionJob_inputDataConfig,
    startTopicsDetectionJob_outputDataConfig,
    startTopicsDetectionJob_dataAccessRoleArn,

    -- * Destructuring the Response
    StartTopicsDetectionJobResponse (..),
    newStartTopicsDetectionJobResponse,

    -- * Response Lenses
    startTopicsDetectionJobResponse_jobArn,
    startTopicsDetectionJobResponse_jobId,
    startTopicsDetectionJobResponse_jobStatus,
    startTopicsDetectionJobResponse_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:/ 'newStartTopicsDetectionJob' smart constructor.
data StartTopicsDetectionJob = StartTopicsDetectionJob'
  { -- | A unique identifier for the request. If you do not set the client
    -- request token, Amazon Comprehend generates one.
    clientRequestToken :: Prelude.Maybe Prelude.Text,
    -- | The identifier of the job.
    jobName :: Prelude.Maybe Prelude.Text,
    -- | The number of topics to detect.
    numberOfTopics :: Prelude.Maybe Prelude.Natural,
    -- | Tags to be associated with the topics 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.
    tags :: Prelude.Maybe [Tag],
    -- | ID for the AWS Key Management Service (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\"@
    volumeKmsKeyId :: Prelude.Maybe Prelude.Text,
    -- | Configuration parameters for an optional private Virtual Private Cloud
    -- (VPC) containing the resources you are using for your topic detection
    -- job. For more information, see
    -- <https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html Amazon VPC>.
    vpcConfig :: Prelude.Maybe VpcConfig,
    -- | Specifies the format and location of the input data for the job.
    inputDataConfig :: InputDataConfig,
    -- | Specifies where to send the output files. The output is a compressed
    -- archive with two files, @topic-terms.csv@ that lists the terms
    -- associated with each topic, and @doc-topics.csv@ that lists the
    -- documents associated with each topic
    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>.
    dataAccessRoleArn :: Prelude.Text
  }
  deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)

-- |
-- Create a value of 'StartTopicsDetectionJob' 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', 'startTopicsDetectionJob_clientRequestToken' - A unique identifier for the request. If you do not set the client
-- request token, Amazon Comprehend generates one.
--
-- 'jobName', 'startTopicsDetectionJob_jobName' - The identifier of the job.
--
-- 'numberOfTopics', 'startTopicsDetectionJob_numberOfTopics' - The number of topics to detect.
--
-- 'tags', 'startTopicsDetectionJob_tags' - Tags to be associated with the topics 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', 'startTopicsDetectionJob_volumeKmsKeyId' - ID for the AWS Key Management Service (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', 'startTopicsDetectionJob_vpcConfig' - Configuration parameters for an optional private Virtual Private Cloud
-- (VPC) containing the resources you are using for your topic detection
-- job. For more information, see
-- <https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html Amazon VPC>.
--
-- 'inputDataConfig', 'startTopicsDetectionJob_inputDataConfig' - Specifies the format and location of the input data for the job.
--
-- 'outputDataConfig', 'startTopicsDetectionJob_outputDataConfig' - Specifies where to send the output files. The output is a compressed
-- archive with two files, @topic-terms.csv@ that lists the terms
-- associated with each topic, and @doc-topics.csv@ that lists the
-- documents associated with each topic
--
-- 'dataAccessRoleArn', 'startTopicsDetectionJob_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>.
newStartTopicsDetectionJob ::
  -- | 'inputDataConfig'
  InputDataConfig ->
  -- | 'outputDataConfig'
  OutputDataConfig ->
  -- | 'dataAccessRoleArn'
  Prelude.Text ->
  StartTopicsDetectionJob
newStartTopicsDetectionJob
  pInputDataConfig_
  pOutputDataConfig_
  pDataAccessRoleArn_ =
    StartTopicsDetectionJob'
      { clientRequestToken =
          Prelude.Nothing,
        jobName = Prelude.Nothing,
        numberOfTopics = Prelude.Nothing,
        tags = Prelude.Nothing,
        volumeKmsKeyId = Prelude.Nothing,
        vpcConfig = Prelude.Nothing,
        inputDataConfig = pInputDataConfig_,
        outputDataConfig = pOutputDataConfig_,
        dataAccessRoleArn = pDataAccessRoleArn_
      }

-- | A unique identifier for the request. If you do not set the client
-- request token, Amazon Comprehend generates one.
startTopicsDetectionJob_clientRequestToken :: Lens.Lens' StartTopicsDetectionJob (Prelude.Maybe Prelude.Text)
startTopicsDetectionJob_clientRequestToken = Lens.lens (\StartTopicsDetectionJob' {clientRequestToken} -> clientRequestToken) (\s@StartTopicsDetectionJob' {} a -> s {clientRequestToken = a} :: StartTopicsDetectionJob)

-- | The identifier of the job.
startTopicsDetectionJob_jobName :: Lens.Lens' StartTopicsDetectionJob (Prelude.Maybe Prelude.Text)
startTopicsDetectionJob_jobName = Lens.lens (\StartTopicsDetectionJob' {jobName} -> jobName) (\s@StartTopicsDetectionJob' {} a -> s {jobName = a} :: StartTopicsDetectionJob)

-- | The number of topics to detect.
startTopicsDetectionJob_numberOfTopics :: Lens.Lens' StartTopicsDetectionJob (Prelude.Maybe Prelude.Natural)
startTopicsDetectionJob_numberOfTopics = Lens.lens (\StartTopicsDetectionJob' {numberOfTopics} -> numberOfTopics) (\s@StartTopicsDetectionJob' {} a -> s {numberOfTopics = a} :: StartTopicsDetectionJob)

-- | Tags to be associated with the topics 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.
startTopicsDetectionJob_tags :: Lens.Lens' StartTopicsDetectionJob (Prelude.Maybe [Tag])
startTopicsDetectionJob_tags = Lens.lens (\StartTopicsDetectionJob' {tags} -> tags) (\s@StartTopicsDetectionJob' {} a -> s {tags = a} :: StartTopicsDetectionJob) Prelude.. Lens.mapping Lens.coerced

-- | ID for the AWS Key Management Service (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\"@
startTopicsDetectionJob_volumeKmsKeyId :: Lens.Lens' StartTopicsDetectionJob (Prelude.Maybe Prelude.Text)
startTopicsDetectionJob_volumeKmsKeyId = Lens.lens (\StartTopicsDetectionJob' {volumeKmsKeyId} -> volumeKmsKeyId) (\s@StartTopicsDetectionJob' {} a -> s {volumeKmsKeyId = a} :: StartTopicsDetectionJob)

-- | Configuration parameters for an optional private Virtual Private Cloud
-- (VPC) containing the resources you are using for your topic detection
-- job. For more information, see
-- <https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html Amazon VPC>.
startTopicsDetectionJob_vpcConfig :: Lens.Lens' StartTopicsDetectionJob (Prelude.Maybe VpcConfig)
startTopicsDetectionJob_vpcConfig = Lens.lens (\StartTopicsDetectionJob' {vpcConfig} -> vpcConfig) (\s@StartTopicsDetectionJob' {} a -> s {vpcConfig = a} :: StartTopicsDetectionJob)

-- | Specifies the format and location of the input data for the job.
startTopicsDetectionJob_inputDataConfig :: Lens.Lens' StartTopicsDetectionJob InputDataConfig
startTopicsDetectionJob_inputDataConfig = Lens.lens (\StartTopicsDetectionJob' {inputDataConfig} -> inputDataConfig) (\s@StartTopicsDetectionJob' {} a -> s {inputDataConfig = a} :: StartTopicsDetectionJob)

-- | Specifies where to send the output files. The output is a compressed
-- archive with two files, @topic-terms.csv@ that lists the terms
-- associated with each topic, and @doc-topics.csv@ that lists the
-- documents associated with each topic
startTopicsDetectionJob_outputDataConfig :: Lens.Lens' StartTopicsDetectionJob OutputDataConfig
startTopicsDetectionJob_outputDataConfig = Lens.lens (\StartTopicsDetectionJob' {outputDataConfig} -> outputDataConfig) (\s@StartTopicsDetectionJob' {} a -> s {outputDataConfig = a} :: StartTopicsDetectionJob)

-- | 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>.
startTopicsDetectionJob_dataAccessRoleArn :: Lens.Lens' StartTopicsDetectionJob Prelude.Text
startTopicsDetectionJob_dataAccessRoleArn = Lens.lens (\StartTopicsDetectionJob' {dataAccessRoleArn} -> dataAccessRoleArn) (\s@StartTopicsDetectionJob' {} a -> s {dataAccessRoleArn = a} :: StartTopicsDetectionJob)

instance Core.AWSRequest StartTopicsDetectionJob where
  type
    AWSResponse StartTopicsDetectionJob =
      StartTopicsDetectionJobResponse
  request overrides =
    Request.postJSON (overrides defaultService)
  response =
    Response.receiveJSON
      ( \s h x ->
          StartTopicsDetectionJobResponse'
            Prelude.<$> (x Data..?> "JobArn")
            Prelude.<*> (x Data..?> "JobId")
            Prelude.<*> (x Data..?> "JobStatus")
            Prelude.<*> (Prelude.pure (Prelude.fromEnum s))
      )

instance Prelude.Hashable StartTopicsDetectionJob where
  hashWithSalt _salt StartTopicsDetectionJob' {..} =
    _salt
      `Prelude.hashWithSalt` clientRequestToken
      `Prelude.hashWithSalt` jobName
      `Prelude.hashWithSalt` numberOfTopics
      `Prelude.hashWithSalt` tags
      `Prelude.hashWithSalt` volumeKmsKeyId
      `Prelude.hashWithSalt` vpcConfig
      `Prelude.hashWithSalt` inputDataConfig
      `Prelude.hashWithSalt` outputDataConfig
      `Prelude.hashWithSalt` dataAccessRoleArn

instance Prelude.NFData StartTopicsDetectionJob where
  rnf StartTopicsDetectionJob' {..} =
    Prelude.rnf clientRequestToken
      `Prelude.seq` Prelude.rnf jobName
      `Prelude.seq` Prelude.rnf numberOfTopics
      `Prelude.seq` Prelude.rnf tags
      `Prelude.seq` Prelude.rnf volumeKmsKeyId
      `Prelude.seq` Prelude.rnf vpcConfig
      `Prelude.seq` Prelude.rnf inputDataConfig
      `Prelude.seq` Prelude.rnf outputDataConfig
      `Prelude.seq` Prelude.rnf dataAccessRoleArn

instance Data.ToHeaders StartTopicsDetectionJob where
  toHeaders =
    Prelude.const
      ( Prelude.mconcat
          [ "X-Amz-Target"
              Data.=# ( "Comprehend_20171127.StartTopicsDetectionJob" ::
                          Prelude.ByteString
                      ),
            "Content-Type"
              Data.=# ( "application/x-amz-json-1.1" ::
                          Prelude.ByteString
                      )
          ]
      )

instance Data.ToJSON StartTopicsDetectionJob where
  toJSON StartTopicsDetectionJob' {..} =
    Data.object
      ( Prelude.catMaybes
          [ ("ClientRequestToken" Data..=)
              Prelude.<$> clientRequestToken,
            ("JobName" Data..=) Prelude.<$> jobName,
            ("NumberOfTopics" Data..=)
              Prelude.<$> numberOfTopics,
            ("Tags" Data..=) Prelude.<$> tags,
            ("VolumeKmsKeyId" Data..=)
              Prelude.<$> volumeKmsKeyId,
            ("VpcConfig" Data..=) Prelude.<$> vpcConfig,
            Prelude.Just
              ("InputDataConfig" Data..= inputDataConfig),
            Prelude.Just
              ("OutputDataConfig" Data..= outputDataConfig),
            Prelude.Just
              ("DataAccessRoleArn" Data..= dataAccessRoleArn)
          ]
      )

instance Data.ToPath StartTopicsDetectionJob where
  toPath = Prelude.const "/"

instance Data.ToQuery StartTopicsDetectionJob where
  toQuery = Prelude.const Prelude.mempty

-- | /See:/ 'newStartTopicsDetectionJobResponse' smart constructor.
data StartTopicsDetectionJobResponse = StartTopicsDetectionJobResponse'
  { -- | The Amazon Resource Name (ARN) of the topics 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>:topics-detection-job\/\<job-id>@
    --
    -- The following is an example job ARN:
    --
    -- @arn:aws:comprehend:us-west-2:111122223333:document-classification-job\/1234abcd12ab34cd56ef1234567890ab@
    jobArn :: Prelude.Maybe Prelude.Text,
    -- | The identifier generated for the job. To get the status of the job, use
    -- this identifier with the @DescribeTopicDetectionJob@ operation.
    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
    --     @DescribeTopicDetectionJob@ operation.
    jobStatus :: Prelude.Maybe JobStatus,
    -- | The response's http status code.
    httpStatus :: Prelude.Int
  }
  deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)

-- |
-- Create a value of 'StartTopicsDetectionJobResponse' 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', 'startTopicsDetectionJobResponse_jobArn' - The Amazon Resource Name (ARN) of the topics 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>:topics-detection-job\/\<job-id>@
--
-- The following is an example job ARN:
--
-- @arn:aws:comprehend:us-west-2:111122223333:document-classification-job\/1234abcd12ab34cd56ef1234567890ab@
--
-- 'jobId', 'startTopicsDetectionJobResponse_jobId' - The identifier generated for the job. To get the status of the job, use
-- this identifier with the @DescribeTopicDetectionJob@ operation.
--
-- 'jobStatus', 'startTopicsDetectionJobResponse_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
--     @DescribeTopicDetectionJob@ operation.
--
-- 'httpStatus', 'startTopicsDetectionJobResponse_httpStatus' - The response's http status code.
newStartTopicsDetectionJobResponse ::
  -- | 'httpStatus'
  Prelude.Int ->
  StartTopicsDetectionJobResponse
newStartTopicsDetectionJobResponse pHttpStatus_ =
  StartTopicsDetectionJobResponse'
    { jobArn =
        Prelude.Nothing,
      jobId = Prelude.Nothing,
      jobStatus = Prelude.Nothing,
      httpStatus = pHttpStatus_
    }

-- | The Amazon Resource Name (ARN) of the topics 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>:topics-detection-job\/\<job-id>@
--
-- The following is an example job ARN:
--
-- @arn:aws:comprehend:us-west-2:111122223333:document-classification-job\/1234abcd12ab34cd56ef1234567890ab@
startTopicsDetectionJobResponse_jobArn :: Lens.Lens' StartTopicsDetectionJobResponse (Prelude.Maybe Prelude.Text)
startTopicsDetectionJobResponse_jobArn = Lens.lens (\StartTopicsDetectionJobResponse' {jobArn} -> jobArn) (\s@StartTopicsDetectionJobResponse' {} a -> s {jobArn = a} :: StartTopicsDetectionJobResponse)

-- | The identifier generated for the job. To get the status of the job, use
-- this identifier with the @DescribeTopicDetectionJob@ operation.
startTopicsDetectionJobResponse_jobId :: Lens.Lens' StartTopicsDetectionJobResponse (Prelude.Maybe Prelude.Text)
startTopicsDetectionJobResponse_jobId = Lens.lens (\StartTopicsDetectionJobResponse' {jobId} -> jobId) (\s@StartTopicsDetectionJobResponse' {} a -> s {jobId = a} :: StartTopicsDetectionJobResponse)

-- | 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
--     @DescribeTopicDetectionJob@ operation.
startTopicsDetectionJobResponse_jobStatus :: Lens.Lens' StartTopicsDetectionJobResponse (Prelude.Maybe JobStatus)
startTopicsDetectionJobResponse_jobStatus = Lens.lens (\StartTopicsDetectionJobResponse' {jobStatus} -> jobStatus) (\s@StartTopicsDetectionJobResponse' {} a -> s {jobStatus = a} :: StartTopicsDetectionJobResponse)

-- | The response's http status code.
startTopicsDetectionJobResponse_httpStatus :: Lens.Lens' StartTopicsDetectionJobResponse Prelude.Int
startTopicsDetectionJobResponse_httpStatus = Lens.lens (\StartTopicsDetectionJobResponse' {httpStatus} -> httpStatus) (\s@StartTopicsDetectionJobResponse' {} a -> s {httpStatus = a} :: StartTopicsDetectionJobResponse)

instance
  Prelude.NFData
    StartTopicsDetectionJobResponse
  where
  rnf StartTopicsDetectionJobResponse' {..} =
    Prelude.rnf jobArn
      `Prelude.seq` Prelude.rnf jobId
      `Prelude.seq` Prelude.rnf jobStatus
      `Prelude.seq` Prelude.rnf httpStatus