CODEWITHSUNDEEP
google-cloud-platformgoogle-cloud-vertex-aikubeflow-pipelines
schoon
schoon

Reputation: 3334

How do I give Vertex AI pipeline component permissions?

In a Vertex AI pipeline component,I try:

def my_comp(project_id: str, location: str, endpoint_id: str, endpoint: Output[Artifact]):
    import google.cloud.aiplatform as aip
    endpoints = aip.Endpoint.list()
...

which gives:

'aiplatform.endpoints.list' denied on resource '//aiplatform.googleapis.com/projects/...

My service account has owner permissions, and it works outside of the component. What do I need to do?

Upvotes: 1

Views: 616

Answers (1)

Prajna Rai T
Prajna Rai T

Reputation: 1818

This permission denied on resource issue can be resolved by using import statement:

from google.cloud import aiplatform_v1 as aiplatform

Upvotes: 0

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