AE365ExePool Component
Overview
An AE365ExePool Component is a component that can be used to submit job to AE365ExePool in AP environment. This component is for Microsoft internal only. This component is in private preview, please play it around and share feedback with us.
Prerequisites
Before using AE365ExePool component, you should be familiar with:
To submit and run a AE365ExePool job successfully, you should have below access:
Scenarios
The component is used to trigger UHRS eyes-on annotation workflow only.
Limitation
AzureML AE365ExePool module must reference AEther AE365ExePool module. Currently only CAX EyesOn Module [ND] v1.6 (654ec0ba-bed3-48eb-a594-efd0e9275e0d) is supported.
The “TimeoutSeconds” parameter is read from content of input port in AEther module. However, the “input as parameter” feature is not supported in AzureML yet, thus you need to fill in parameter manually.
AzureML will use prefix of user’s AAD mail address as job requestor, which has a small chance to be different from alias used in AEther Client. This may have effect on auto-approval, please contact MARS administrator for help if it happens to be the case.
The inputs/outputs data must reside in Azure Data Lake on Cosmos directly or indirectly under “local” folder.
How to write AE365ExePoolComponent yaml spec
Please refer to AE365ExePoolComponent spec doc.
Example yaml:
$schema: https://componentsdk.azureedge.net/jsonschema/AE365ExePoolComponent.json
name: microsoft.com.azureml.samples.ae365exepool.CAXEyesOnModule
version: 0.0.1
display_name: CAX EyesOn Module [ND] v1.6
type: AE365ExePoolComponent
description: Use this auto-approved module to download data on EyesOn machine and interact with it for Compliant Annotation purpose.
tags: {category: Component Tutorial, contact: amldesigner@microsoft.com}
inputs:
ComplianceCluster:
type: string
description: compliance cluster name
default: "MsResearch-EyesOn-Annotation"
optional: false
HeronId:
type: string
description: Heron ID
default: ""
optional: false
localoutputfolderEnc:
type: string
description: local output folder for encrypted data
default: ""
optional: true
localoutputfolderDec:
type: string
description: local output folder for decrypted data
default: ""
optional: true
TimeoutSeconds:
type: integer
description: timeout in seconds
default: 500000
optional: true
hitappid:
type: integer
description: hitapp id
default: 31346
optional: true
projectname:
type: string
description: project name
default: "LatestE2Etemplate"
optional: true
judges:
type: string
description: judges
default: "juwang;bradwall"
optional: true
annotationsMayIncludeCustomerContent:
type: string
description: annotations may include customer content
default: "1"
optional: true
TaskGroupId:
type: integer
description: task group id
default: 86891
optional: true
GoldHitRTADataType:
type: enum
description: gold hit rta data type
enum:
- Gold
- RTA
- Qualification
- Preview
default: ""
optional: true
taskFileTimestamp:
type: string
description: task file timestamp
default: "2021.12.21.23.55.00"
optional: true
DataToLookAt:
type: AnyFile
optional: false
GoldHitRTAData:
type: AnyFile
optional: true
outputs:
outputfolderEnc:
type: AnyDirectory
outputfolderDec:
type: AnyDirectory
OriginalHitData:
type: AnyDirectory
command: >-
cax.eyesonmodule.exe input={inputs.DataToLookAt} inputGoldHitRta=[{inputs.GoldHitRTAData}]
localoutputfolderEnc=[{inputs.localoutputfolderEnc}] localoutputfolderDec=[{inputs.localoutputfolderDec}]
timeoutSeconds=[{inputs.TimeoutSeconds}] hitappid=[{inputs.hitappid}] projectname=[{inputs.projectname}]
judges=[{inputs.judges}] outputfolderEnc={outputs.outputfolderEnc} outputfolderDec={outputs.outputfolderDec}
annotationsMayIncludeCustomerContent=[{inputs.annotationsMayIncludeCustomerContent}] taskGroupId=[{inputs.TaskGroupId}]
goldHitRTADataType=[{inputs.GoldHitRTADataType}] outputfolderForOriginalHitData={outputs.OriginalHitData}
taskFileTimestamp=[{inputs.taskFileTimestamp}]
ae365exepool:
ref_id: 654ec0ba-bed3-48eb-a594-efd0e9275e0d
Note: “type” of each input/output must be aligned with the corresponding port in AEther module. AnyFile for file port and AnyDirectory for directory port.
See more examples in github samples repo.
Follow how to access instructions if you meet 404 error when accessing the samples.
Inputs
Inputs are data files feed into the AE365ExePool Component and used in the command. It can be defined in a DataSet/DataReference or provided as output from a previous module. AE365ExePool only supports input from Azure Data Lake on Cosmos. User who submits the job must have permission to access the data storage.
Samples
How to use ae365exepool component - Demonstrates how to use AE365ExePool component to run a CAX EyesOn job.
FAQ
How to check my role in ADLS
Login to Azure portal and open ‘Access control’ panel of your ADLS.
Click ‘View my access’ button.
Check your role assignment in the right panel.

How to check my access in ADLS data explorer
Login to Azure portal and open ‘Data explorer’ panel of your ADLS.
Click ‘Access’ button.
Check your access of the root folder.

