Amazon HealthImaging · Arazzo Workflow

Amazon HealthImaging Audit Completed Imports

Version 1.0.0

List completed import jobs, read the most recent job's detail, then search the imported image sets.

1 workflow 3 source APIs 1 provider
View Spec View on GitHub HealthcareHIPAAMachine-LearningMedical ImagingDICOMArazzoWorkflows

Provider

amazon-healthimaging

Workflows

audit-completed-imports
Inspect the most recent completed import job and the data store's image sets.
Lists completed import jobs for a data store, branches on whether any exist, reads the detail of the first completed job, and searches the data store's image sets.
3 steps inputs: datastoreId outputs: firstJobId, imageSetsMetadataSummaries, inputS3Uri, outputS3Uri
1
listCompletedJobs
List import jobs for the data store filtered to the COMPLETED status, returning the first page of jobs.
2
getJobDetail
Read the full properties of the most recent completed import job to surface its input and output S3 locations.
3
searchImageSets
Search the data store for image sets so the completed import can be correlated with the image sets it produced.

Source API Descriptions

Arazzo Workflow Specification

Raw ↑
arazzo: 1.0.1
info:
  title: Amazon HealthImaging Audit Completed Imports
  summary: List completed import jobs, read the most recent job's detail, then search the imported image sets.
  description: >-
    Audits what was recently ingested into a data store. The workflow lists the
    import jobs filtered to COMPLETED, reads the full properties of the most
    recent completed job, and then searches the data store for image sets so the
    auditor can correlate the job with its resulting image sets. 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
  x-realizes-capability-ids:
  - BC-2860.30
  x-capability-derivation:
    method: 'deterministic join: sourceDescriptions -> per-tag OpenAPI -> tag/capability edge. No classification at this step.'
    min_confidence: 0.7
    sources:
    - capability_id: BC-2860.30
      capability_name: Diagnostic Imaging Services
      spec: amazon-healthimaging-listdicomimportjobs-api-openapi.yml
      confidence: 0.7
    model: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities, CC BY 4.0
sourceDescriptions:
- name: datastoreApi
  url: ../openapi/amazon-healthimaging-datastore-api-openapi.yml
  type: openapi
- name: getdicomimportjobApi
  url: ../openapi/amazon-healthimaging-getdicomimportjob-api-openapi.yml
  type: openapi
- name: listdicomimportjobsApi
  url: ../openapi/amazon-healthimaging-listdicomimportjobs-api-openapi.yml
  type: openapi
workflows:
- workflowId: audit-completed-imports
  summary: Inspect the most recent completed import job and the data store's image sets.
  description: >-
    Lists completed import jobs for a data store, branches on whether any exist,
    reads the detail of the first completed job, and searches the data store's
    image sets.
  inputs:
    type: object
    required:
    - datastoreId
    properties:
      datastoreId:
        type: string
        description: The identifier of the data store to audit.
  steps:
  - stepId: listCompletedJobs
    description: >-
      List import jobs for the data store filtered to the COMPLETED status,
      returning the first page of jobs.
    operationId: ListDICOMImportJobs
    parameters:
    - name: datastoreId
      in: path
      value: $inputs.datastoreId
    - name: jobStatus
      in: query
      value: COMPLETED
    - name: maxResults
      in: query
      value: 50
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      firstJobId: $response.body#/jobSummaries/0/jobId
      jobSummaries: $response.body#/jobSummaries
    onSuccess:
    - name: jobsFound
      type: goto
      stepId: getJobDetail
      criteria:
      - context: $response.body
        condition: $.jobSummaries.length > 0
        type: jsonpath
    - name: noJobs
      type: end
      criteria:
      - context: $response.body
        condition: $.jobSummaries.length == 0
        type: jsonpath
  - stepId: getJobDetail
    description: >-
      Read the full properties of the most recent completed import job to
      surface its input and output S3 locations.
    operationId: GetDICOMImportJob
    parameters:
    - name: datastoreId
      in: path
      value: $inputs.datastoreId
    - name: jobId
      in: path
      value: $steps.listCompletedJobs.outputs.firstJobId
    successCriteria:
    - condition: $statusCode == 200
    - context: $response.body
      condition: $.jobProperties.jobStatus == "COMPLETED"
      type: jsonpath
    outputs:
      inputS3Uri: $response.body#/jobProperties/inputS3Uri
      outputS3Uri: $response.body#/jobProperties/outputS3Uri
      endedAt: $response.body#/jobProperties/endedAt
  - stepId: searchImageSets
    description: >-
      Search the data store for image sets so the completed import can be
      correlated with the image sets it produced.
    operationId: SearchImageSets
    parameters:
    - name: datastoreId
      in: path
      value: $inputs.datastoreId
    - name: maxResults
      in: query
      value: 50
    requestBody:
      contentType: application/json
      payload:
        searchCriteria: {}
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      imageSetsMetadataSummaries: $response.body#/imageSetsMetadataSummaries
      nextToken: $response.body#/nextToken
  outputs:
    firstJobId: $steps.listCompletedJobs.outputs.firstJobId
    inputS3Uri: $steps.getJobDetail.outputs.inputS3Uri
    outputS3Uri: $steps.getJobDetail.outputs.outputS3Uri
    imageSetsMetadataSummaries: $steps.searchImageSets.outputs.imageSetsMetadataSummaries

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