[BUG] ValueError: Enum ErrorCode has no value defined for name '403' in mlflow.set_experiment()

Willingness to contribute

Yes. I would be willing to contribute a fix for this bug with guidance from the MLflow community.

MLflow version

1.19.0

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows
• Python version: 3.10.4
• databricks-connect version: 7.3.45

Describe the problem

I am trying to run some code to train a model, while logging my results to MLflow on Databricks. I am using Databricks Connect to achieve this.

However, before I get to that step, the given error pops up when I try to make a call to mlflow.set_experiment().

What exactly is going on here?

I was able to run my code without an issue a while ago, but when I came back to it, I encountered this error.

Tracking information

No response

Code to reproduce issue

# set the mlflow registry and tracking URIs
mlflow.set_registry_uri(remote_server_uri)
mlflow.set_tracking_uri(remote_server_uri)

# create the MLflow client
client = MlflowClient(remote_server_uri)

# set base path for experiment
base_path = '/base/path/to/mlflow/experiments'

# set experiment to log mlflow runs
mlflow.set_experiment(base_path + experiment_name)

Note: The value set for the variable remote_server_uri is ‘databricks’.

Stack trace

    mlflow.set_experiment(base_path + experiment_name)
  File "C:\Users\minurap\Anaconda3\envs\oct_use_case_2\lib\site-packages\mlflow\tracking\fluent.py", line 84, in set_experiment
    experiment = client.get_experiment_by_name(experiment_name)
  File "C:\Users\minurap\Anaconda3\envs\oct_use_case_2\lib\site-packages\mlflow\tracking\client.py", line 463, in get_experiment_by_name
    return self._tracking_client.get_experiment_by_name(name)
  File "C:\Users\minurap\Anaconda3\envs\oct_use_case_2\lib\site-packages\mlflow\tracking\_tracking_service\client.py", line 155, in get_experiment_by_name
    return self.store.get_experiment_by_name(name)
  File "C:\Users\minurap\Anaconda3\envs\oct_use_case_2\lib\site-packages\mlflow\store\tracking\rest_store.py", line 321, in get_experiment_by_name
    response_proto = self._call_endpoint(GetExperimentByName, req_body)
  File "C:\Users\minurap\Anaconda3\envs\oct_use_case_2\lib\site-packages\mlflow\store\tracking\rest_store.py", line 56, in _call_endpoint
    return call_endpoint(self.get_host_creds(), endpoint, method, json_body, response_proto)
  File "C:\Users\minurap\Anaconda3\envs\oct_use_case_2\lib\site-packages\mlflow\utils\rest_utils.py", line 170, in call_endpoint
    response = verify_rest_response(response, endpoint)
  File "C:\Users\minurap\Anaconda3\envs\oct_use_case_2\lib\site-packages\mlflow\utils\rest_utils.py", line 122, in verify_rest_response
    raise RestException(json.loads(response.text))
  File "C:\Users\minurap\Anaconda3\envs\oct_use_case_2\lib\site-packages\mlflow\exceptions.py", line 75, in __init__
    super().__init__(message, error_code=ErrorCode.Value(error_code))
  File "C:\Users\minurap\Anaconda3\envs\oct_use_case_2\lib\site-packages\google\protobuf\internal\enum_type_wrapper.py", line 82, in Value
    raise ValueError('Enum {} has no value defined for name {!r}'.format(
ValueError: Enum ErrorCode has no value defined for name '403'

Other info / logs

No response

What component(s) does this bug affect?

• area/artifacts: Artifact stores and artifact logging
• area/build: Build and test infrastructure for MLflow
• area/docs: MLflow documentation pages
• area/examples: Example code
• area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
• area/models: MLmodel format, model serialization/deserialization, flavors
• area/pipelines: Pipelines, Pipeline APIs, Pipeline configs, Pipeline Templates
• area/projects: MLproject format, project running backends
• area/scoring: MLflow Model server, model deployment tools, Spark UDFs
• area/server-infra: MLflow Tracking server backend
• area/tracking: Tracking Service, tracking client APIs, autologging

What interface(s) does this bug affect?

• area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
• area/docker: Docker use across MLflow’s components, such as MLflow Projects and MLflow Models
• area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry
• area/windows: Windows support

What language(s) does this bug affect?

• language/r: R APIs and clients
• language/java: Java APIs and clients
• language/new: Proposals for new client languages

What integration(s) does this bug affect?

• integrations/azure: Azure and Azure ML integrations
• integrations/sagemaker: SageMaker integrations
• integrations/databricks: Databricks integrations

[BenWilson2]

Since you are a Databricks customer and this issue is related to DBConnect (and perhaps your account), could you contact your support team (or file a support ticket with Databricks) for resolution and assistance in troubleshooting?

[MinuraPunchihewa]

@BenWilson2 I just tried restarting my computer and running it again. No change.