Azure-ai-ml: Output wrongfully requires the output to be a file instead of folder.

[thomasfrederikhoeck]

• Package Name: azure-ai-ml
• Package Version: 1.15.0
• Operating System: windows
• Python Version: 3.11

Describe the bug In the following link it is specified that I can supply an output folder for a batch prediction like this:

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-access-data-batch-endpoints-jobs?view=azureml-api-2&tabs=sdk#create-jobs-with-data-outputs

data_path = "batch-jobs/my-unique-path"
output = Output(type=AssetTypes.URI_FOLDER, path=f"{default_ds.id}/paths/{data_path})

job = ml_client.batch_endpoints.invoke(
   endpoint_name=endpoint.name,
   inputs={ "heart_dataset": input },
   outputs={ "score": output }
)

But when I do this I'm hit with the following error which states that it needs to be a file. This doesn't make sense to me since I want to use it for outputting multiple files like here: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-model-custom-output?view=azureml-api-2&tabs=python#create-a-scoring-script

HttpResponseError: The Job request provided has the following validation errors. Please resolve them and try again.
Errors:
[
  {
    "PropertyName": "OutputData.Values[0].JobOutputType",
    "ErrorMessage": "Job output type must be 'uri_file'.",
    "AttemptedValue": "uri_folder",
    "ErrorCode": "PredicateValidator"
  }
]

Content: {
  "error": {
    "code": "UserError",
    "severity": null,
    "message": "The Job request provided has the following validation errors. Please resolve them and try again.\nErrors:\n[\n  {\n    \"PropertyName\": \"OutputData.Values[0].JobOutputType\",\n    \"ErrorMessage\": \"Job output type must be 'uri_file'.\",\n    \"AttemptedValue\": \"uri_folder\",\n    \"ErrorCode\": \"PredicateValidator\"\n  }\n]\n",
    "messageFormat": null,
    "messageParameters": null,
    "referenceCode": null,
    "detailsUri": null,
    "target": null,
    "details": [],
    "innerError": {
      "code": "BadArgument",
      "innerError": {
        "code": "ArgumentInvalid",
        "innerError": {
          "code": "InvalidInputArguments",
          "innerError": null
        }
      }
    },
    "debugInfo": null,
    "additionalInfo": null
  },
  "correlation": {
    "operation": "647da9fb8a3337d978c3bb7950dac655",
    "request": "ab349cea7d170b19"
  },
  "environment": "westeurope",
  "location": "westeurope",
  "time": "2024-04-17T14:14:31.512581+00:00",
  "componentName": "managementfrontend",
  "statusCode": 400
}

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[github-actions[bot]]

Thanks for the feedback! We are routing this to the appropriate team for follow-up. cc @Azure/azure-ml-sdk @azureml-github.

[thomasfrederikhoeck]

Hi @banibrata-de . I can see that you have been assigned. Have you been able to replicate? :-)

[thomasfrederikhoeck]

For extra context: https://feedback.azure.com/d365community/idea/6040f886-4409-ef11-a73c-6045bd7e8707

[thomasfrederikhoeck]

Hey @diondrapeck @banibrata-de . Sorry for tagging you if your are not the correct for this but do you have any update?