code: def _process_parameters(self):
      airflow_params = []
      type_transform_dict = {
          int.__name__: "integer",
          str.__name__: "string",
          bool.__name__: "string",
          float.__name__: "number",
      }
  
      for var, param in self.flow._get_parameters():
          # Airflow requires defaults set for parameters.
          value = deploy_time_eval(param.kwargs.get("default"))
          # Setting airflow related param args.
          airflow_param = dict(
              name=param.name,
          )
          if value is not None:
              airflow_param["default"] = value
          if param.kwargs.get("help"):
              airflow_param["description"] = param.kwargs.get("help")
  
          # Since we will always have a default value and `deploy_time_eval` resolved that to an actual value
          # we can just use the `default` to infer the object's type.
          # This avoids parsing/identifying types like `JSONType` or `FilePathClass`
          # which are returned by calling `param.kwargs.get("type")`
          param_type = type(airflow_param["default"])
  
          # extract the name of the type and resolve the type-name
          # compatible with Airflow.
          param_type_name = getattr(param_type, "__name__", None)
          if param_type_name in type_transform_dict:
              airflow_param["type"] = type_transform_dict[
                  param_type_name
              ]
  
          if param_type_name == bool.__name__:
              airflow_param["default"] = str(airflow_param["default"])
  
          airflow_params.append(airflow_param)
  
      return airflow_params
  
imports: import json
  import os
  import random
  import string
  import sys
  from datetime import datetime, timedelta
  from io import BytesIO
  import metaflow.util
  from metaflow import current
  from metaflow.decorators import flow_decorators
  from metaflow.exception import MetaflowException
  from metaflow.includefile import FilePathClass
  from metaflow.metaflow_config import AIRFLOW_KUBERNETES_CONN_ID, AIRFLOW_KUBERNETES_KUBECONFIG_CONTEXT, AIRFLOW_KUBERNETES_KUBECONFIG_FILE, AIRFLOW_KUBERNETES_STARTUP_TIMEOUT_SECONDS, AWS_SECRETS_MANAGER_DEFAULT_REGION, AZURE_STORAGE_BLOB_SERVICE_ENDPOINT, CARD_AZUREROOT, CARD_GSROOT, CARD_S3ROOT, DATASTORE_SYSROOT_AZURE, DATASTORE_SYSROOT_GS, DATASTORE_SYSROOT_S3, DATATOOLS_S3ROOT, DEFAULT_SECRETS_BACKEND_TYPE, KUBERNETES_SECRETS, KUBERNETES_SERVICE_ACCOUNT, S3_ENDPOINT_URL, SERVICE_HEADERS, SERVICE_INTERNAL_URL
  from metaflow.metaflow_config_funcs import config_values
  from metaflow.parameters import DelayedEvaluationParameter, JSONTypeClass, deploy_time_eval
  from metaflow.plugins.cards.card_modules import chevron
  from metaflow.plugins.kubernetes.kubernetes import Kubernetes
  from metaflow.plugins.timeout_decorator import get_run_time_limit_for_task
  from metaflow.util import compress_list, dict_to_cli_options, get_username
  from .None import airflow_utils
  from .airflow_utils import AIRFLOW_MACROS, TASK_ID_XCOM_KEY, AirflowTask, Workflow
  from .exception import AirflowException
  from .sensors import SUPPORTED_SENSORS
label_desc: Use image node_id 8 for calling the Airflow obj's underlying member method code with example usage: obj._process_parameters() and returns: airflow_params