Closed patriciaramosf closed 1 year ago
This issue is stale because it has been open for 30 days with no activity. If you believe this is still an issue on the latest DataHub release please leave a comment with the version that you tested it with. If this is a question/discussion please head to https://slack.datahubproject.io. For feature requests please use https://feature-requests.datahubproject.io
This issue is still a bug. Tested in last version 10.0.0
Also managed to reproduce in 0.10.0, but weirdly enough I managed to create an empty MlModel
entity without any aspects or ownership
Hi!!! Could you show me how you did it? Thanks!!
This is the body I used
[
{
"entityType": "MlModel",
"entityUrn": "urn:li:mlModel:(urn:li:dataPlatform:testplatform,testtest,DEV)",
"aspect": {
"__type": "Ownership"
}
}
]
But I couldn't add any aspects to it or features, just an empty shell
Thanks!! But yes, still aspects are necessary.
This issue is stale because it has been open for 30 days with no activity. If you believe this is still an issue on the latest DataHub release please leave a comment with the version that you tested it with. If this is a question/discussion please head to https://slack.datahubproject.io. For feature requests please use https://feature-requests.datahubproject.io
This issue was closed because it has been inactive for 30 days since being marked as stale.
Describe the bug There is a bug related to MLModel schema. The structure is ok, I also managed to ingest other entities as glossaryterms following this "structure or instructions" that appear in the swagger of datahub. The error is always related to the name of the aspect "MLModelProperties". I send the correct name but it is detected as if it was written with the first m in lowercase.
ERROR : "Request processing failed; nested exception is java.lang.RuntimeException: Unknown aspect mLModelProperties for entity MLModel"
REQUEST BODY:
[ { "entityType": "MLModel", "entityUrn": "urn:li:mlModel:(urn:li:dataPlatform:science,sciencePatri,PROD)", "entityKeyAspect": { "__type": "MLModelKey", "platform":"urn:li:dataPlatform:science", "name":"sciencePatri", "origin":"PROD" }, "aspect": { "__type": "MLModelProperties", "customProperties": { "additionalProp1": "value1", "additionalProp2": "value2", "additionalProp3": "value3" }, "externalUrl": "url", "description":"description", "tags":["urn:li:tag:hola"] } } ]
To Reproduce Steps to reproduce the behavior:
Expected behavior The response should be 200 sucess and the mlModel should be created.
Screenshots If applicable, add screenshots to help explain your problem.
Desktop (please complete the following information):
Additional context Add any other context about the problem here.