mlflow.store.artifact.cloud_artifact_repo. issue in Databricks APPs backend

[senura96]

INFO mlflow.store.artifact.cloud_artifact_repo: Failed to complete request, possibly due to credential expiration. Refreshing credentials and trying again... (Error: API request to https://dbc-d4dd6237-edea.cloud.databricks.com/api/2.0/fs/create-download-url failed with exception HTTPSConnectionPool(host='dbc-d4dd6237-edea.cloud.databricks.com', port=443): Max retries exceeded with url: /api/2.0/fs/create-download-url (Caused by ResponseError('too many 500 error responses'))).   hwo to fix this issue in databricks apps

[WiliamRosa]

Why MLflow and Databricks library versions?

Did you try increasing the MLflow artifact upload/download timeout, for example:

import os
os.environ["MLFLOW_ARTIFACT_UPLOAD_DOWNLOAD_TIMEOUT"] = "120"