Amazon Rekognition Label and Moderate an Image

arazzo: 1.0.1
info:
  title: Amazon Rekognition Label and Moderate an Image
  summary: Detect general labels in an image and then screen the same image for unsafe content.
  description: >-
    A content-understanding-plus-safety flow for Amazon Rekognition. The
    workflow runs DetectLabels to understand what is in an image and then runs
    DetectModerationLabels against the same image to screen it for unsafe or
    inappropriate content. Each step spells out its AWS JSON 1.1 request inline,
    including the protocol-required X-Amz-Target header.
  version: 1.0.0
sourceDescriptions:
- name: contentModerationApi
  url: ../openapi/amazon-rekognition-content-moderation-api-openapi.yml
  type: openapi
- name: imageAnalysisApi
  url: ../openapi/amazon-rekognition-image-analysis-api-openapi.yml
  type: openapi
workflows:
- workflowId: label-and-moderate-image
  summary: Detect labels then detect moderation labels for the same image.
  description: >-
    Produces a descriptive label set for an image and a moderation screening of
    the same image so user-generated content can be both understood and gated.
  inputs:
    type: object
    required:
    - bucket
    - name
    properties:
      bucket:
        type: string
        description: S3 bucket holding the image to analyze.
      name:
        type: string
        description: S3 object key of the image.
      minLabelConfidence:
        type: number
        description: Minimum confidence for returned general labels.
        default: 75.0
      minModerationConfidence:
        type: number
        description: Minimum confidence for returned moderation labels.
        default: 50.0
  steps:
  - stepId: detectLabels
    description: Detect general labels describing the contents of the image.
    operationId: detectLabels
    parameters:
    - name: X-Amz-Target
      in: header
      value: RekognitionService.DetectLabels
    requestBody:
      contentType: application/x-amz-json-1.1
      payload:
        Image:
          S3Object:
            Bucket: $inputs.bucket
            Name: $inputs.name
        MaxLabels: 20
        MinConfidence: $inputs.minLabelConfidence
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      labels: $response.body#/Labels
      labelModelVersion: $response.body#/LabelModelVersion
  - stepId: detectModeration
    description: Screen the same image for unsafe or inappropriate content.
    operationId: detectModerationLabels
    parameters:
    - name: X-Amz-Target
      in: header
      value: RekognitionService.DetectModerationLabels
    requestBody:
      contentType: application/x-amz-json-1.1
      payload:
        Image:
          S3Object:
            Bucket: $inputs.bucket
            Name: $inputs.name
        MinConfidence: $inputs.minModerationConfidence
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      moderationLabels: $response.body#/ModerationLabels
      moderationModelVersion: $response.body#/ModerationModelVersion
  outputs:
    labels: $steps.detectLabels.outputs.labels
    moderationLabels: $steps.detectModeration.outputs.moderationLabels