Nanonets Classify Image and Branch

arazzo: 1.0.1
info:
  title: Nanonets Classify Image and Branch
  summary: Classify an uploaded image and branch on whether a top label was predicted.
  description: >-
    A routing flow built on image classification. The workflow uploads a single
    image to a Nanonets classification model and branches on the result: when at
    least one label is predicted it ends as classified, and when no prediction is
    returned it re-submits the same image as a public URL batch for a second
    attempt. Every step spells out its request inline so the flow can be read and
    executed without opening the underlying OpenAPI description.
  version: 1.0.0
sourceDescriptions:
- name: imageClassificationApi
  url: ../openapi/nanonets-image-classification-api-openapi.yml
  type: openapi
workflows:
- workflowId: classify-image-and-branch
  summary: Classify an image and fall back to a URL submission when nothing is predicted.
  description: >-
    Uploads an image to a classification model and, if no label is predicted,
    retries the classification using a public URL batch.
  inputs:
    type: object
    required:
    - authorization
    - modelId
    - file
    - fallbackUrls
    properties:
      authorization:
        type: string
        description: HTTP Basic credential header value (Basic <base64 of apiKey:>).
      modelId:
        type: string
        description: Unique identifier of the classification model.
      file:
        type: string
        description: Binary contents of the image to classify.
      fallbackUrls:
        type: array
        description: Public URL(s) of the same image to retry on if the upload yields no label.
        items:
          type: string
  steps:
  - stepId: classifyFile
    description: Upload the image to the classification model.
    operationId: imageCategorizationLabelFilePost
    parameters:
    - name: Authorization
      in: header
      value: $inputs.authorization
    requestBody:
      contentType: multipart/form-data
      payload:
        file: $inputs.file
        modelId: $inputs.modelId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      topLabel: $response.body#/result/0/prediction/0/label
      topProbability: $response.body#/result/0/prediction/0/probability
    onSuccess:
    - name: classified
      type: end
      criteria:
      - context: $response.body
        condition: $.result[0].prediction.length > 0
        type: jsonpath
    - name: noLabel
      type: goto
      stepId: classifyUrlFallback
      criteria:
      - context: $response.body
        condition: $.result[0].prediction.length == 0
        type: jsonpath
  - stepId: classifyUrlFallback
    description: Retry classification by submitting the image as a public URL batch.
    operationId: imageCategorizationLabelUrlsPost
    parameters:
    - name: Authorization
      in: header
      value: $inputs.authorization
    requestBody:
      contentType: application/x-www-form-urlencoded
      payload:
        urls: $inputs.fallbackUrls
        modelId: $inputs.modelId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      fallbackLabel: $response.body#/result/0/prediction/0/label
      fallbackProbability: $response.body#/result/0/prediction/0/probability
  outputs:
    topLabel: $steps.classifyFile.outputs.topLabel
    fallbackLabel: $steps.classifyUrlFallback.outputs.fallbackLabel