code: def tags(self):
      job_id = databricks_utils.get_job_id()
      job_run_id = databricks_utils.get_job_run_id()
      job_type = databricks_utils.get_job_type()
      webapp_url = databricks_utils.get_webapp_url()
      workspace_url = databricks_utils.get_workspace_url()
      (
          workspace_url_fallback,
          workspace_id,
      ) = databricks_utils.get_workspace_info_from_dbutils()
      tags = {
          MLFLOW_SOURCE_NAME: (
              f"jobs/{job_id}/run/{job_run_id}"
              if job_id is not None and job_run_id is not None
              else None
          ),
          MLFLOW_SOURCE_TYPE: SourceType.to_string(SourceType.JOB),
      }
      if job_id is not None:
          tags[MLFLOW_DATABRICKS_JOB_ID] = job_id
      if job_run_id is not None:
          tags[MLFLOW_DATABRICKS_JOB_RUN_ID] = job_run_id
      if job_type is not None:
          tags[MLFLOW_DATABRICKS_JOB_TYPE] = job_type
      if webapp_url is not None:
          tags[MLFLOW_DATABRICKS_WEBAPP_URL] = webapp_url
      if workspace_url is not None:
          tags[MLFLOW_DATABRICKS_WORKSPACE_URL] = workspace_url
      elif workspace_url_fallback is not None:
          tags[MLFLOW_DATABRICKS_WORKSPACE_URL] = workspace_url_fallback
      if workspace_id is not None:
          tags[MLFLOW_DATABRICKS_WORKSPACE_ID] = workspace_id
      return tags
  
imports: from mlflow.entities import SourceType
  from mlflow.tracking.context.abstract_context import RunContextProvider
  from mlflow.utils import databricks_utils
  from mlflow.utils.mlflow_tags import MLFLOW_DATABRICKS_JOB_ID, MLFLOW_DATABRICKS_JOB_RUN_ID, MLFLOW_DATABRICKS_JOB_TYPE, MLFLOW_DATABRICKS_WEBAPP_URL, MLFLOW_DATABRICKS_WORKSPACE_ID, MLFLOW_DATABRICKS_WORKSPACE_URL, MLFLOW_SOURCE_NAME, MLFLOW_SOURCE_TYPE
label_desc: Use image node_id 2 for calling the DatabricksJobRunContext obj's underlying member method code with example usage: obj.tags() and returns: tags