az ml online-deployment create seems broken

[guillermo-rayo-aya]

Describe the bug

az ml online-deployment create --name time-to-fill-online-dp --endpoint time-to-fill-online-dev -f online-deployment.yml
The command failed with an unexpected error. Here is the traceback:
local variable 'debug' referenced before assignment
Traceback (most recent call last):
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/online_deployment.py", line 78, in ml_online_deployment_create
ml_client, debug = get_ml_client(
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/utils.py", line 207, in get_ml_client
ml_client = _get_ml_client(
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/utils.py", line 154, in _get_ml_client
ml_client = get_mgmt_service_client(cli_ctx, MLClient._ml_client_cli, subscription_id=subscription_id, **kwargs)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/client_factory.py", line 83, in get_mgmt_service_client
client, _ = _get_mgmt_service_client(cli_ctx, client_type, subscription_id=subscription_id,
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/client_factory.py", line 254, in _get_mgmt_service_client
client = client_type(credential, subscription_id, **client_kwargs)
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/vendored_curated_sdk/azure/ai/ml/_ml_client.py", line 770, in _ml_client_cli
ml_client = cls(credential=credentials, subscription_id=subscription_id, **kwargs)
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/vendored_curated_sdk/azure/ai/ml/_ml_client.py", line 220, in init
ws_ops = WorkspaceOperations(
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/vendored_curated_sdk/azure/ai/ml/operations/_workspace_operations.py", line 60, in init
self.dataplane_workspace_operations = kwargs.pop("dataplane_client").workspaces
KeyError: 'dataplane_client'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/lib64/az/lib/python3.9/site-packages/knack/cli.py", line 233, in invoke
cmd_result = self.invocation.execute(args)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 664, in execute
raise ex
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 731, in _run_jobs_serially
results.append(self._run_job(expanded_arg, cmd_copy))
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 701, in _run_job
result = cmd_copy(params)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 334, in call
return self.handler(*args, **kwargs)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/command_operation.py", line 121, in handler
return op(**command_args)
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/online_deployment.py", line 132, in ml_online_deployment_create
log_and_raise_error(err, debug, yaml_operation=yaml_operation)
UnboundLocalError: local variable 'debug' referenced before assignment

Related command

az ml online-deployment create

Errors

The command failed with an unexpected error. Here is the traceback:
local variable 'debug' referenced before assignment
Traceback (most recent call last):
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/online_deployment.py", line 78, in ml_online_deployment_create
ml_client, debug = get_ml_client(
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/utils.py", line 207, in get_ml_client
ml_client = _get_ml_client(
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/utils.py", line 154, in _get_ml_client
ml_client = get_mgmt_service_client(cli_ctx, MLClient._ml_client_cli, subscription_id=subscription_id, **kwargs)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/client_factory.py", line 83, in get_mgmt_service_client
client, _ = _get_mgmt_service_client(cli_ctx, client_type, subscription_id=subscription_id,
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/client_factory.py", line 254, in _get_mgmt_service_client
client = client_type(credential, subscription_id, **client_kwargs)
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/vendored_curated_sdk/azure/ai/ml/_ml_client.py", line 770, in _ml_client_cli
ml_client = cls(credential=credentials, subscription_id=subscription_id, **kwargs)
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/vendored_curated_sdk/azure/ai/ml/_ml_client.py", line 220, in init
ws_ops = WorkspaceOperations(
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/vendored_curated_sdk/azure/ai/ml/operations/_workspace_operations.py", line 60, in init
self.dataplane_workspace_operations = kwargs.pop("dataplane_client").workspaces
KeyError: 'dataplane_client'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/lib64/az/lib/python3.9/site-packages/knack/cli.py", line 233, in invoke
cmd_result = self.invocation.execute(args)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 664, in execute
raise ex
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 731, in _run_jobs_serially
results.append(self._run_job(expanded_arg, cmd_copy))
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 701, in _run_job
result = cmd_copy(params)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 334, in call
return self.handler(*args, **kwargs)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/command_operation.py", line 121, in handler
return op(**command_args)
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/online_deployment.py", line 132, in ml_online_deployment_create
log_and_raise_error(err, debug, yaml_operation=yaml_operation)
UnboundLocalError: local variable 'debug' referenced before assignment

Issue script & Debug output

az ml online-deployment create --name time-to-fill-online-dp --endpoint time-to-fill-online-dev -f online-deployment.yml
The command failed with an unexpected error. Here is the traceback:
local variable 'debug' referenced before assignment
Traceback (most recent call last):
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/online_deployment.py", line 78, in ml_online_deployment_create
ml_client, debug = get_ml_client(
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/utils.py", line 207, in get_ml_client
ml_client = _get_ml_client(
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/utils.py", line 154, in _get_ml_client
ml_client = get_mgmt_service_client(cli_ctx, MLClient._ml_client_cli, subscription_id=subscription_id, **kwargs)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/client_factory.py", line 83, in get_mgmt_service_client
client, _ = _get_mgmt_service_client(cli_ctx, client_type, subscription_id=subscription_id,
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/client_factory.py", line 254, in _get_mgmt_service_client
client = client_type(credential, subscription_id, **client_kwargs)
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/vendored_curated_sdk/azure/ai/ml/_ml_client.py", line 770, in _ml_client_cli
ml_client = cls(credential=credentials, subscription_id=subscription_id, **kwargs)
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/vendored_curated_sdk/azure/ai/ml/_ml_client.py", line 220, in init
ws_ops = WorkspaceOperations(
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/vendored_curated_sdk/azure/ai/ml/operations/_workspace_operations.py", line 60, in init
self.dataplane_workspace_operations = kwargs.pop("dataplane_client").workspaces
KeyError: 'dataplane_client'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/lib64/az/lib/python3.9/site-packages/knack/cli.py", line 233, in invoke
cmd_result = self.invocation.execute(args)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 664, in execute
raise ex
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 731, in _run_jobs_serially
results.append(self._run_job(expanded_arg, cmd_copy))
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 701, in _run_job
result = cmd_copy(params)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/init.py", line 334, in call
return self.handler(*args, **kwargs)
File "/usr/lib64/az/lib/python3.9/site-packages/azure/cli/core/commands/command_operation.py", line 121, in handler
return op(**command_args)
File "/usr/lib/python3.9/site-packages/azure-cli-extensions/ml/azext_mlv2/manual/custom/online_deployment.py", line 132, in ml_online_deployment_create
log_and_raise_error(err, debug, yaml_operation=yaml_operation)
UnboundLocalError: local variable 'debug' referenced before assignment

Expected behavior

The command should run.

Environment Summary

guillermo [ ~ ]$ az --version
azure-cli 2.58.0

core 2.58.0
telemetry 1.1.0

Extensions:
ai-examples 0.2.5
ml 2.23.0
ssh 2.0.2

Dependencies:
msal 1.26.0
azure-mgmt-resource 23.1.0b2

Python location '/usr/bin/python3.9'
Extensions directory '/home/guillermo/.azure/cliextensions'
Extensions system directory '/usr/lib/python3.9/site-packages/azure-cli-extensions'

Python (Linux) 3.9.14 (main, Oct 12 2023, 19:48:32)
[GCC 11.2.0]

Legal docs and information: aka.ms/AzureCliLegal

Additional context

No response

[yonzhan]

Thank you for opening this issue, we will look into it.

[microsoft-github-policy-service]

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