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amazonka-rekognition-2.0: gen/Amazonka/Rekognition/GetContentModeration.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.Rekognition.GetContentModeration
-- Copyright   : (c) 2013-2023 Brendan Hay
-- License     : Mozilla Public License, v. 2.0.
-- Maintainer  : Brendan Hay
-- Stability   : auto-generated
-- Portability : non-portable (GHC extensions)
--
-- Gets the inappropriate, unwanted, or offensive content analysis results
-- for a Amazon Rekognition Video analysis started by
-- StartContentModeration. For a list of moderation labels in Amazon
-- Rekognition, see
-- <https://docs.aws.amazon.com/rekognition/latest/dg/moderation.html#moderation-api Using the image and video moderation APIs>.
--
-- Amazon Rekognition Video inappropriate or offensive content detection in
-- a stored video is an asynchronous operation. You start analysis by
-- calling StartContentModeration which returns a job identifier (@JobId@).
-- When analysis finishes, Amazon Rekognition Video publishes a completion
-- status to the Amazon Simple Notification Service topic registered in the
-- initial call to @StartContentModeration@. To get the results of the
-- content analysis, first check that the status value published to the
-- Amazon SNS topic is @SUCCEEDED@. If so, call @GetContentModeration@ and
-- pass the job identifier (@JobId@) from the initial call to
-- @StartContentModeration@.
--
-- For more information, see Working with Stored Videos in the Amazon
-- Rekognition Devlopers Guide.
--
-- @GetContentModeration@ returns detected inappropriate, unwanted, or
-- offensive content moderation labels, and the time they are detected, in
-- an array, @ModerationLabels@, of ContentModerationDetection objects.
--
-- By default, the moderated labels are returned sorted by time, in
-- milliseconds from the start of the video. You can also sort them by
-- moderated label by specifying @NAME@ for the @SortBy@ input parameter.
--
-- Since video analysis can return a large number of results, use the
-- @MaxResults@ parameter to limit the number of labels returned in a
-- single call to @GetContentModeration@. If there are more results than
-- specified in @MaxResults@, the value of @NextToken@ in the operation
-- response contains a pagination token for getting the next set of
-- results. To get the next page of results, call @GetContentModeration@
-- and populate the @NextToken@ request parameter with the value of
-- @NextToken@ returned from the previous call to @GetContentModeration@.
--
-- For more information, see moderating content in the Amazon Rekognition
-- Developer Guide.
module Amazonka.Rekognition.GetContentModeration
  ( -- * Creating a Request
    GetContentModeration (..),
    newGetContentModeration,

    -- * Request Lenses
    getContentModeration_maxResults,
    getContentModeration_nextToken,
    getContentModeration_sortBy,
    getContentModeration_jobId,

    -- * Destructuring the Response
    GetContentModerationResponse (..),
    newGetContentModerationResponse,

    -- * Response Lenses
    getContentModerationResponse_jobStatus,
    getContentModerationResponse_moderationLabels,
    getContentModerationResponse_moderationModelVersion,
    getContentModerationResponse_nextToken,
    getContentModerationResponse_statusMessage,
    getContentModerationResponse_videoMetadata,
    getContentModerationResponse_httpStatus,
  )
where

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

-- | /See:/ 'newGetContentModeration' smart constructor.
data GetContentModeration = GetContentModeration'
  { -- | Maximum number of results to return per paginated call. The largest
    -- value you can specify is 1000. If you specify a value greater than 1000,
    -- a maximum of 1000 results is returned. The default value is 1000.
    maxResults :: Prelude.Maybe Prelude.Natural,
    -- | If the previous response was incomplete (because there is more data to
    -- retrieve), Amazon Rekognition returns a pagination token in the
    -- response. You can use this pagination token to retrieve the next set of
    -- content moderation labels.
    nextToken :: Prelude.Maybe Prelude.Text,
    -- | Sort to use for elements in the @ModerationLabelDetections@ array. Use
    -- @TIMESTAMP@ to sort array elements by the time labels are detected. Use
    -- @NAME@ to alphabetically group elements for a label together. Within
    -- each label group, the array element are sorted by detection confidence.
    -- The default sort is by @TIMESTAMP@.
    sortBy :: Prelude.Maybe ContentModerationSortBy,
    -- | The identifier for the inappropriate, unwanted, or offensive content
    -- moderation job. Use @JobId@ to identify the job in a subsequent call to
    -- @GetContentModeration@.
    jobId :: Prelude.Text
  }
  deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)

-- |
-- Create a value of 'GetContentModeration' 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:
--
-- 'maxResults', 'getContentModeration_maxResults' - Maximum number of results to return per paginated call. The largest
-- value you can specify is 1000. If you specify a value greater than 1000,
-- a maximum of 1000 results is returned. The default value is 1000.
--
-- 'nextToken', 'getContentModeration_nextToken' - If the previous response was incomplete (because there is more data to
-- retrieve), Amazon Rekognition returns a pagination token in the
-- response. You can use this pagination token to retrieve the next set of
-- content moderation labels.
--
-- 'sortBy', 'getContentModeration_sortBy' - Sort to use for elements in the @ModerationLabelDetections@ array. Use
-- @TIMESTAMP@ to sort array elements by the time labels are detected. Use
-- @NAME@ to alphabetically group elements for a label together. Within
-- each label group, the array element are sorted by detection confidence.
-- The default sort is by @TIMESTAMP@.
--
-- 'jobId', 'getContentModeration_jobId' - The identifier for the inappropriate, unwanted, or offensive content
-- moderation job. Use @JobId@ to identify the job in a subsequent call to
-- @GetContentModeration@.
newGetContentModeration ::
  -- | 'jobId'
  Prelude.Text ->
  GetContentModeration
newGetContentModeration pJobId_ =
  GetContentModeration'
    { maxResults = Prelude.Nothing,
      nextToken = Prelude.Nothing,
      sortBy = Prelude.Nothing,
      jobId = pJobId_
    }

-- | Maximum number of results to return per paginated call. The largest
-- value you can specify is 1000. If you specify a value greater than 1000,
-- a maximum of 1000 results is returned. The default value is 1000.
getContentModeration_maxResults :: Lens.Lens' GetContentModeration (Prelude.Maybe Prelude.Natural)
getContentModeration_maxResults = Lens.lens (\GetContentModeration' {maxResults} -> maxResults) (\s@GetContentModeration' {} a -> s {maxResults = a} :: GetContentModeration)

-- | If the previous response was incomplete (because there is more data to
-- retrieve), Amazon Rekognition returns a pagination token in the
-- response. You can use this pagination token to retrieve the next set of
-- content moderation labels.
getContentModeration_nextToken :: Lens.Lens' GetContentModeration (Prelude.Maybe Prelude.Text)
getContentModeration_nextToken = Lens.lens (\GetContentModeration' {nextToken} -> nextToken) (\s@GetContentModeration' {} a -> s {nextToken = a} :: GetContentModeration)

-- | Sort to use for elements in the @ModerationLabelDetections@ array. Use
-- @TIMESTAMP@ to sort array elements by the time labels are detected. Use
-- @NAME@ to alphabetically group elements for a label together. Within
-- each label group, the array element are sorted by detection confidence.
-- The default sort is by @TIMESTAMP@.
getContentModeration_sortBy :: Lens.Lens' GetContentModeration (Prelude.Maybe ContentModerationSortBy)
getContentModeration_sortBy = Lens.lens (\GetContentModeration' {sortBy} -> sortBy) (\s@GetContentModeration' {} a -> s {sortBy = a} :: GetContentModeration)

-- | The identifier for the inappropriate, unwanted, or offensive content
-- moderation job. Use @JobId@ to identify the job in a subsequent call to
-- @GetContentModeration@.
getContentModeration_jobId :: Lens.Lens' GetContentModeration Prelude.Text
getContentModeration_jobId = Lens.lens (\GetContentModeration' {jobId} -> jobId) (\s@GetContentModeration' {} a -> s {jobId = a} :: GetContentModeration)

instance Core.AWSRequest GetContentModeration where
  type
    AWSResponse GetContentModeration =
      GetContentModerationResponse
  request overrides =
    Request.postJSON (overrides defaultService)
  response =
    Response.receiveJSON
      ( \s h x ->
          GetContentModerationResponse'
            Prelude.<$> (x Data..?> "JobStatus")
            Prelude.<*> ( x
                            Data..?> "ModerationLabels"
                            Core..!@ Prelude.mempty
                        )
            Prelude.<*> (x Data..?> "ModerationModelVersion")
            Prelude.<*> (x Data..?> "NextToken")
            Prelude.<*> (x Data..?> "StatusMessage")
            Prelude.<*> (x Data..?> "VideoMetadata")
            Prelude.<*> (Prelude.pure (Prelude.fromEnum s))
      )

instance Prelude.Hashable GetContentModeration where
  hashWithSalt _salt GetContentModeration' {..} =
    _salt
      `Prelude.hashWithSalt` maxResults
      `Prelude.hashWithSalt` nextToken
      `Prelude.hashWithSalt` sortBy
      `Prelude.hashWithSalt` jobId

instance Prelude.NFData GetContentModeration where
  rnf GetContentModeration' {..} =
    Prelude.rnf maxResults
      `Prelude.seq` Prelude.rnf nextToken
      `Prelude.seq` Prelude.rnf sortBy
      `Prelude.seq` Prelude.rnf jobId

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

instance Data.ToJSON GetContentModeration where
  toJSON GetContentModeration' {..} =
    Data.object
      ( Prelude.catMaybes
          [ ("MaxResults" Data..=) Prelude.<$> maxResults,
            ("NextToken" Data..=) Prelude.<$> nextToken,
            ("SortBy" Data..=) Prelude.<$> sortBy,
            Prelude.Just ("JobId" Data..= jobId)
          ]
      )

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

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

-- | /See:/ 'newGetContentModerationResponse' smart constructor.
data GetContentModerationResponse = GetContentModerationResponse'
  { -- | The current status of the content moderation analysis job.
    jobStatus :: Prelude.Maybe VideoJobStatus,
    -- | The detected inappropriate, unwanted, or offensive content moderation
    -- labels and the time(s) they were detected.
    moderationLabels :: Prelude.Maybe [ContentModerationDetection],
    -- | Version number of the moderation detection model that was used to detect
    -- inappropriate, unwanted, or offensive content.
    moderationModelVersion :: Prelude.Maybe Prelude.Text,
    -- | If the response is truncated, Amazon Rekognition Video returns this
    -- token that you can use in the subsequent request to retrieve the next
    -- set of content moderation labels.
    nextToken :: Prelude.Maybe Prelude.Text,
    -- | If the job fails, @StatusMessage@ provides a descriptive error message.
    statusMessage :: Prelude.Maybe Prelude.Text,
    -- | Information about a video that Amazon Rekognition analyzed.
    -- @Videometadata@ is returned in every page of paginated responses from
    -- @GetContentModeration@.
    videoMetadata :: Prelude.Maybe VideoMetadata,
    -- | The response's http status code.
    httpStatus :: Prelude.Int
  }
  deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)

-- |
-- Create a value of 'GetContentModerationResponse' 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:
--
-- 'jobStatus', 'getContentModerationResponse_jobStatus' - The current status of the content moderation analysis job.
--
-- 'moderationLabels', 'getContentModerationResponse_moderationLabels' - The detected inappropriate, unwanted, or offensive content moderation
-- labels and the time(s) they were detected.
--
-- 'moderationModelVersion', 'getContentModerationResponse_moderationModelVersion' - Version number of the moderation detection model that was used to detect
-- inappropriate, unwanted, or offensive content.
--
-- 'nextToken', 'getContentModerationResponse_nextToken' - If the response is truncated, Amazon Rekognition Video returns this
-- token that you can use in the subsequent request to retrieve the next
-- set of content moderation labels.
--
-- 'statusMessage', 'getContentModerationResponse_statusMessage' - If the job fails, @StatusMessage@ provides a descriptive error message.
--
-- 'videoMetadata', 'getContentModerationResponse_videoMetadata' - Information about a video that Amazon Rekognition analyzed.
-- @Videometadata@ is returned in every page of paginated responses from
-- @GetContentModeration@.
--
-- 'httpStatus', 'getContentModerationResponse_httpStatus' - The response's http status code.
newGetContentModerationResponse ::
  -- | 'httpStatus'
  Prelude.Int ->
  GetContentModerationResponse
newGetContentModerationResponse pHttpStatus_ =
  GetContentModerationResponse'
    { jobStatus =
        Prelude.Nothing,
      moderationLabels = Prelude.Nothing,
      moderationModelVersion = Prelude.Nothing,
      nextToken = Prelude.Nothing,
      statusMessage = Prelude.Nothing,
      videoMetadata = Prelude.Nothing,
      httpStatus = pHttpStatus_
    }

-- | The current status of the content moderation analysis job.
getContentModerationResponse_jobStatus :: Lens.Lens' GetContentModerationResponse (Prelude.Maybe VideoJobStatus)
getContentModerationResponse_jobStatus = Lens.lens (\GetContentModerationResponse' {jobStatus} -> jobStatus) (\s@GetContentModerationResponse' {} a -> s {jobStatus = a} :: GetContentModerationResponse)

-- | The detected inappropriate, unwanted, or offensive content moderation
-- labels and the time(s) they were detected.
getContentModerationResponse_moderationLabels :: Lens.Lens' GetContentModerationResponse (Prelude.Maybe [ContentModerationDetection])
getContentModerationResponse_moderationLabels = Lens.lens (\GetContentModerationResponse' {moderationLabels} -> moderationLabels) (\s@GetContentModerationResponse' {} a -> s {moderationLabels = a} :: GetContentModerationResponse) Prelude.. Lens.mapping Lens.coerced

-- | Version number of the moderation detection model that was used to detect
-- inappropriate, unwanted, or offensive content.
getContentModerationResponse_moderationModelVersion :: Lens.Lens' GetContentModerationResponse (Prelude.Maybe Prelude.Text)
getContentModerationResponse_moderationModelVersion = Lens.lens (\GetContentModerationResponse' {moderationModelVersion} -> moderationModelVersion) (\s@GetContentModerationResponse' {} a -> s {moderationModelVersion = a} :: GetContentModerationResponse)

-- | If the response is truncated, Amazon Rekognition Video returns this
-- token that you can use in the subsequent request to retrieve the next
-- set of content moderation labels.
getContentModerationResponse_nextToken :: Lens.Lens' GetContentModerationResponse (Prelude.Maybe Prelude.Text)
getContentModerationResponse_nextToken = Lens.lens (\GetContentModerationResponse' {nextToken} -> nextToken) (\s@GetContentModerationResponse' {} a -> s {nextToken = a} :: GetContentModerationResponse)

-- | If the job fails, @StatusMessage@ provides a descriptive error message.
getContentModerationResponse_statusMessage :: Lens.Lens' GetContentModerationResponse (Prelude.Maybe Prelude.Text)
getContentModerationResponse_statusMessage = Lens.lens (\GetContentModerationResponse' {statusMessage} -> statusMessage) (\s@GetContentModerationResponse' {} a -> s {statusMessage = a} :: GetContentModerationResponse)

-- | Information about a video that Amazon Rekognition analyzed.
-- @Videometadata@ is returned in every page of paginated responses from
-- @GetContentModeration@.
getContentModerationResponse_videoMetadata :: Lens.Lens' GetContentModerationResponse (Prelude.Maybe VideoMetadata)
getContentModerationResponse_videoMetadata = Lens.lens (\GetContentModerationResponse' {videoMetadata} -> videoMetadata) (\s@GetContentModerationResponse' {} a -> s {videoMetadata = a} :: GetContentModerationResponse)

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

instance Prelude.NFData GetContentModerationResponse where
  rnf GetContentModerationResponse' {..} =
    Prelude.rnf jobStatus
      `Prelude.seq` Prelude.rnf moderationLabels
      `Prelude.seq` Prelude.rnf moderationModelVersion
      `Prelude.seq` Prelude.rnf nextToken
      `Prelude.seq` Prelude.rnf statusMessage
      `Prelude.seq` Prelude.rnf videoMetadata
      `Prelude.seq` Prelude.rnf httpStatus