OCI Data Science: scenarios 'Insufficient Privileges' When Accessing Model Deployment in Python SDK
I'm optimizing some code but I've looked through the documentation and I'm still confused about I recently switched to I'm stuck trying to I'm currently working on deploying a machine learning model using OCI's Data Science service. After successfully training the model and creating a deployment, I keep working with an 'Insufficient Privileges' behavior when trying to access the deployment programmatically via the Python SDK. The behavior occurs at the following line of code: ```python from oci.data_science import DataScienceClient from oci.data_science.models import CreateModelDeploymentDetails data_science_client = DataScienceClient(config) deployment = data_science_client.get_model_deployment(deployment_id) ``` The `deployment_id` is correct, and I am using version 2.30.0 of the OCI Python SDK. I have verified that my user has the necessary permissions for the Data Science service, including `data_science.model_deployment.get`. However, I suspect that the scenario might be related to the policy configuration for the compartment where the model is deployed. Here’s the policy I defined: ``` Allow group DataScienceTeam to manage model-deployments in compartment MyCompartment ``` I've also ensured that my user belongs to the `DataScienceTeam` group. To troubleshoot, I've logged in to the OCI console with the same user and was able to see the deployment details without any issues. I've tried re-creating the model deployment and checking the IAM policies, but the behavior continues. Any insights on what might be causing this or how I can further debug the scenario? For context: I'm using Python on macOS. Has anyone else encountered this? I'm on Ubuntu 20.04 using the latest version of Python. I'm working in a Ubuntu 20.04 environment. My development environment is Debian. How would you solve this? I'm on Windows 10 using the latest version of Python. What's the correct way to implement this?