code: def _validate_content_type(
      flask_request, allowed_content_types: List[str]
  ):
      """
      Validates that the request content type is one of the allowed content types.
  
      :param flask_request: Flask request object (flask.request)
      :param allowed_content_types: A list of allowed content types
      """
      if flask_request.method not in ["POST", "PUT"]:
          return
  
      if flask_request.content_type is None:
          raise MlflowException(
              message="Bad Request. Content-Type header is missing.",
              error_code=INVALID_PARAMETER_VALUE,
          )
  
      # Remove any parameters e.g. "application/json; charset=utf-8" -> "application/json"
      content_type = flask_request.content_type.split(";")[0]
      if content_type not in allowed_content_types:
          message = f"Bad Request. Content-Type must be one of {allowed_content_types}."
  
          raise MlflowException(
              message=message,
              error_code=INVALID_PARAMETER_VALUE,
          )
  
imports: from typing import List
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
label_desc: Use image node_id 1 for calling a global function with example usage: _validate_content_type(flask_request, allowed_content_types) without return types