[BUG] Unable to load Articrafts in UI - AJAX Internal server error 500

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Willingness to contribute

The MLflow Community encourages bug-fix contributions. Would you or another member of your organization be willing to contribute a fix for this bug to the MLflow code base?

• Yes. I can contribute a fix for this bug independently.
• [X ] Yes. I would be willing to contribute a fix for this bug with guidance from the MLflow community.
• No. I cannot contribute a bug fix at this time.

System information

• Have I written custom code (as opposed to using a stock example script provided in MLflow): No
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux
• MLflow installed from (source or binary): Pip
• MLflow version (run mlflow --version): 1.24.0
• Python version: 3.8.10
• npm version, if running the dev UI:
• Exact command to reproduce: mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@${MYSQL_HOST}:3306/${MYSQL_DATABASE} --default-artifact-root https://objectstorage.ca-toronto-1.oraclecloud.com/${OCI_BUCKET_URI}/ -h 0.0.0.0 ( object storage on orcale cloud and data storage on MySQL)

Describe the problem

Describe the problem clearly here. Include descriptions of the expected behavior and the actual behavior.

Articrafts Tab on the Run Details page failed to load the articrafts from the oracle cloud object storage.

Code to reproduce the issue

Provide a reproducible test case that is the bare minimum necessary to generate the problem.

Other info / logs

Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

2022/04/01 17:19:04 ERROR mlflow.server: Exception on /ajax-api/2.0/preview/mlflow/artifacts/list [GET]
Traceback (most recent call last):
  File "/home/ubuntu/.local/lib/python3.8/site-packages/flask/app.py", line 2073, in wsgi_app
    response = self.full_dispatch_request()
  File "/home/ubuntu/.local/lib/python3.8/site-packages/flask/app.py", line 1518, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/home/ubuntu/.local/lib/python3.8/site-packages/flask/app.py", line 1516, in full_dispatch_request
    rv = self.dispatch_request()
  File "/home/ubuntu/.local/lib/python3.8/site-packages/flask/app.py", line 1502, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
  File "/home/ubuntu/.local/lib/python3.8/site-packages/mlflow/server/handlers.py", line 327, in wrapper
    return func(*args, **kwargs)
  File "/home/ubuntu/.local/lib/python3.8/site-packages/mlflow/server/handlers.py", line 385, in wrapper
    return func(*args, **kwargs)
  File "/home/ubuntu/.local/lib/python3.8/site-packages/mlflow/server/handlers.py", line 676, in _list_artifacts
    artifact_entities = _get_artifact_repo(run).list_artifacts(path)
  File "/home/ubuntu/.local/lib/python3.8/site-packages/mlflow/store/artifact/http_artifact_repo.py", line 44, in list_artifacts
    url, tail = self.artifact_uri.split(endpoint, maxsplit=1)
ValueError: not enough values to unpack (expected 2, got 1)

What component(s), interfaces, languages, and integrations does this bug affect?

Components

• 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/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

Interface

• [ X] 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

Language

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

Integrations

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