code: def __configure_databricks_env_from_url(
      url: str, password: str, schema: str
  ) -> None:
      """Databricks has a custom http path attribute, which we have encoded into a SqlAlchemy-like URL appendage.
  
      This custom parsing was ported from our original client implementation for backwards compatibility with the
      existing CI job configurations.
      """
      http_path_key = "httppath="
      url_pieces = url.split(";")
      http_paths = [
          url_piece
          for url_piece in url_pieces[1:]
          if url_piece.lower().startswith(http_path_key)
      ]
      assert len(http_paths) == 1, (
          f"There should be exactly one http path in a Databricks test engine URL, but we found http paths: "
          f"{http_paths} in url {url}!"
      )
      http_path = http_paths[0].split("=")[1]
      os.environ[DBT_ENV_SECRET_HTTP_PATH] = http_path
      __configure_test_env_from_url(
          url_pieces[0], password=password, schema=schema
      )
  
imports: from __future__ import annotations
  import json
  import logging
  import os
  from typing import Generator
  import pytest
  import sqlalchemy
  from dbt.adapters.factory import get_adapter_by_type
  from dbt.cli.main import dbtRunner
  from metricflow.protocols.sql_client import SqlClient
  from metricflow.test.fixtures.setup_fixtures import MetricFlowTestSessionState, dbt_project_dir, dialect_from_url
  from metricflow.test.fixtures.sql_clients.adapter_backed_ddl_client import AdapterBackedDDLSqlClient
  from metricflow.test.fixtures.sql_clients.common_client import SqlDialect
  from metricflow.test.fixtures.sql_clients.ddl_sql_client import SqlClientWithDDLMethods
label_desc: Use image node_id 3 for calling a global function with example usage: __configure_databricks_env_from_url(url, password, schema) without return types