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

senura96
New Contributor

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
Databricks Partner

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"

Wiliam Rosa
Data Engineer | Machine Learning Engineer
LinkedIn: linkedin.com/in/wiliamrosa