class_docstr: Environment class for Databricks environments.
  
  DatabricksEnvironment represents functionality to detect whether it is
  executed in a Databricks environment based on environment variables.
  Additionally, it can display corresponding visualizations.
code: def __init__(self, service):
      self.successfully_detected = False
      self.base_url = None
      self.with_credentials = False
  
      if DATABRICKS_ENV_VAR in os.environ:
          self.successfully_detected = True
  
imports: import os
  from rai_core_flask.environments.base_environment import BaseEnvironment
label_desc: Use image node_id 1 to create a new DatabricksEnvironment object from inherited base classes: BaseEnvironment with example: obj = DatabricksEnvironment(service)