Custom Docker Image throws an Error "Unable to determine execution role. Please provide via the --role argument,Must setup local AWS configuration with a region supported by SageMaker."

I am currently running a ML pipeline by using the Sagemaker SDKs.After training, I am trying to build a custom docker image by using processing step and consume that image in deploy step to create an endpoint for my model. Docker file contains an inference file. I am using sm-docker build and push docker image into ECR.

Note: Docker build did not work inside the studio.

Below is the code i am using

 build_processor = SKLearnProcessor(
    framework_version="0.23-1",
    role=role,
    instance_type="ml.m5.large",
    instance_count=1,
    base_job_name="docker-build-step",
)
 step_build_docker = ProcessingStep(
        name="BuildDockerImage",
        processor=build_processor,
        # depends_on=[step_train],
        inputs=[
            ProcessingInput(source="/root/test/pipelines/data/build", destination="/opt/ml/processing/dockerfile"),
   
        ], 
        outputs=[
            ProcessingOutput(output_name="docker_build_output", source="/opt/ml/processing/output"),
        ],
        
        # environment={
        # "AWS_REGION": region,
        # "AWS_EXECUTION_ROLE_ARN": role
       #  # },
       # arguments=[
       #  "--region", region,
       #  "--role", role
       #  ],
        code=os.path.join(BASE_DIR, "build_docker.py"),
    )

%%%docker_build.py
`def build_docker_image(image_repo,image_tag,new_directory):
   
    os.chdir(new_directory)

    docker_image_name = image_repo
    
    
    docker_tag =image_tag
    
    return subprocess.run(['sm-docker', 'build', '.', f'{docker_image_name}:{docker_tag}'], check=True)   `
   

`if __name__ == "__main__":
   
    # parser = argparse.ArgumentParser()
    # parser.add_argument("--region", type=str, required=True)
    # parser.add_argument("--role", type=str, required=True)
    # # Add other command-line arguments as needed
    # args,_ = parser.parse_known_args()
    # region=args.region
    # role=args.role
    # aws_region = os.environ.get("AWS_REGION")


    base_directory = "/opt/ml/processing/dockerfile"
    pathlib.Path(f"{base_directory}").mkdir(parents=True, exist_ok=True)
   
    print("Current working directory:", base_directory)
    image_repo="sage"
    image_tag="sagemaker-studio-cluster-model-v1-2"

    build_result=build_docker_image(image_repo,image_tag,base_directory)
    if build_result.returncode == 0:
        logging.info("Docker image build succeeded!")
    else:
        logging.error("Docker image build failed!")`

The issue i am facing is that the IAM role is not being passed into build_docker.py file, although I am explicitly declaring via sklearn processor role parameter.

** Couple of things i tried which did not work **

• I tried passing the IAM role and region via environment variables and that did not work.
• I also tried to create a config file as per the below documentation and passed the role from config.yaml.
• https://docs.aws.amazon.com/sagemaker/latest/dg/train-remote-decorator-config.html
• the file was loaded successfully but did not assign the role from config file.
• Manually tried passing the role in the docker_build script by using the get_execution_role function.That did not work either.

Could you please let know how to resolve this error?

Error logs

Traceback (most recent call last): File "/miniconda3/lib/python3.7/site-packages/sagemaker_studio_image_build/cli.py", line 50, in get_role return "/".join(sagemaker.get_execution_role().split(":")[-1].split("/")[1:]) File "/miniconda3/lib/python3.7/site-packages/sagemaker/session.py", line 4729, in get_execution_role sagemaker_session = Session() File "/miniconda3/lib/python3.7/site-packages/sagemaker/session.py", line 132, in init sagemaker_featurestore_runtime_client=sagemaker_featurestore_runtime_client, File "/miniconda3/lib/python3.7/site-packages/sagemaker/session.py", line 152, in _initialize "Must setup local AWS configuration with a region supported by SageMaker."