code: def run(workflow, config_file, extra_options) -> None:
      func, ConfigClass = _load_func_and_config_class(workflow)
  
      # print(ConfigClass.__pydantic_model__.schema_json())
      # At this point, we could load config from a JSON file and create an instance of
      # ConfigClass. Then convert that instance to dict (via .asdict()) and apply to
      # the function
  
      # pyre-fixme[16]: Module `yaml` has no attribute `YAML`.
      yaml = YAML(typ="safe")
      config_dict = yaml.load(config_file.read())
      assert config_dict is not None, "failed to read yaml file"
      if extra_options is not None:
          config_dict.update(json.loads(extra_options))
      config_dict = select_relevant_params(config_dict, ConfigClass)
      config = ConfigClass(**config_dict)
      func(**config.asdict())
  
file_path: ReAgent/reagent/workflow/cli.py
imports: import dataclasses
  import importlib
  import json
  import logging
  import os
  import sys
  import click
  from ruamel.yaml import YAML
label_desc: Use image node_id 4 for calling a global function with example usage: run(workflow, config_file, extra_options) without return types