class_docstr: Provides the fields for the params['system'] namespace.
  
  These are the parameters that the feature_processor automatically loads from various SageMaker
  resources.
docstr: Generates the system generated parameters for the feature_processor wrapped function.
  
  Args:
      fp_config (FeatureProcessorConfig): The configuration values for the
          feature_processor decorator.
  
  Returns:
      Dict[str, Union[str, Dict]]: The system parameters.
docstr_tok: ["Generates","the","system","generated","parameters","for","the","feature_processor","wrapped","function",".","Args",":","fp_config","(","FeatureProcessorConfig",")",":","The","configuration","values","for","the","feature_processor","decorator",".","Returns",":","Dict","[","str",",","Union","[","str",",","Dict","]","]",":","The","system","parameters","."]
code: def get_system_args(self) -> Dict[str, Union[str, Dict]]:
      """Generates the system generated parameters for the feature_processor wrapped function.
  
      Args:
          fp_config (FeatureProcessorConfig): The configuration values for the
              feature_processor decorator.
  
      Returns:
          Dict[str, Union[str, Dict]]: The system parameters.
      """
  
      return {
          self._SYSTEM_PARAMS_KEY: {
              "scheduled_time": self.environment_helper.get_job_scheduled_time(),
          }
      }
  
file_path: sagemaker-python-sdk/src/sagemaker/feature_store/feature_processor/_params_loader.py
imports: from __future__ import absolute_import
  from typing import Dict, Union
  import attr
  from sagemaker.feature_store.feature_processor._env import EnvironmentHelper
  from sagemaker.feature_store.feature_processor._feature_processor_config import FeatureProcessorConfig
label_desc: Use image node_id 1 for calling the SystemParamsLoader obj's underlying member method code with example usage: obj.get_system_args() and returns: dict