Nanonets Page-Level Correct and Approve

arazzo: 1.0.1
info:
  title: Nanonets Page-Level Correct and Approve
  summary: Pull a single page's prediction, correct its fields, then approve the file.
  description: >-
    A page-scoped correction flow. The workflow retrieves the prediction for one
    specific page of an already-processed file, applies a corrected field payload
    onto the file, and approves the file once the page is fixed. 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: ocrApi
  url: ../openapi/nanonets-ocr-api-openapi.yml
  type: openapi
- name: fileManagementApi
  url: ../openapi/nanonets-file-management-api-openapi.yml
  type: openapi
workflows:
- workflowId: page-level-correct-and-approve
  summary: Get a page's prediction, correct fields on the file, and approve it.
  description: >-
    Fetches a single page's prediction, patches the file's fields with corrected
    values, and approves the file.
  inputs:
    type: object
    required:
    - authorization
    - modelId
    - requestFileId
    - pageId
    - correctedFields
    properties:
      authorization:
        type: string
        description: HTTP Basic credential header value (Basic <base64 of apiKey:>).
      modelId:
        type: string
        description: Unique identifier for the Nanonets OCR model.
      requestFileId:
        type: string
        description: Identifier of the already-processed file.
      pageId:
        type: string
        description: Unique page id within the file to inspect.
      correctedFields:
        type: object
        description: >-
          Corrected field payload mirroring the prediction response structure,
          used to update or add fields on the file.
  steps:
  - stepId: getPage
    description: Retrieve the prediction for the specific page of the file.
    operationId: ocrModelGetPredictionFileByPageId
    parameters:
    - name: Authorization
      in: header
      value: $inputs.authorization
    - name: model_id
      in: path
      value: $inputs.modelId
    - name: request_file_id
      in: path
      value: $inputs.requestFileId
    - name: page_id
      in: path
      value: $inputs.pageId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      moderatedCount: $response.body#/moderated_images_count
  - stepId: updateFields
    description: >-
      Patch the file with corrected field values. use_ui_version=true is required
      and the body mirrors the prediction response structure.
    operationId: updateFileFields
    parameters:
    - name: Authorization
      in: header
      value: $inputs.authorization
    - name: model_id
      in: path
      value: $inputs.modelId
    - name: use_ui_version
      in: query
      value: true
    requestBody:
      contentType: application/json
      payload: $inputs.correctedFields
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      updateResponse: $response.body
  - stepId: approveFile
    description: Approve the file now that the page-level corrections are applied.
    operationId: verifyFile
    parameters:
    - name: Authorization
      in: header
      value: $inputs.authorization
    - name: model_id
      in: path
      value: $inputs.modelId
    - name: request_file_id
      in: path
      value: $inputs.requestFileId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      approveResponse: $response.body
  outputs:
    updateResponse: $steps.updateFields.outputs.updateResponse
    approveResponse: $steps.approveFile.outputs.approveResponse