class_docstr: Helper class to retrieve info from environment.
  
  Attributes:
      current_time (datetime): The current datetime.
class_docstr_tok: ["Helper","class","to","retrieve","info","from","environment",".","Attributes",":","current_time","(","datetime",")",":","The","current","datetime","."]
docstr: Load the contents of resourceconfig.json contents.
  
  Returns:
      Optional[Dict]: None if not found.
docstr_tok: ["Load","the","contents","of","resourceconfig.json","contents",".","Returns",":","Optional","[","Dict","]",":","None","if","not","found","."]
code: def load_training_resource_config(self) -> Optional[Dict]:
      """Load the contents of resourceconfig.json contents.
  
      Returns:
          Optional[Dict]: None if not found.
      """
      SM_TRAINING_CONFIG_FILE_PATH = (
          "/opt/ml/input/config/resourceconfig.json"
      )
      try:
          with open(SM_TRAINING_CONFIG_FILE_PATH, "r") as cfgfile:
              resource_config = json.load(cfgfile)
              logger.debug(
                  "Contents of %s: %s",
                  SM_TRAINING_CONFIG_FILE_PATH,
                  resource_config,
              )
              return resource_config
      except FileNotFoundError:
          return None
  
file_path: sagemaker-python-sdk/src/sagemaker/feature_store/feature_processor/_env.py
imports: from __future__ import absolute_import
  from typing import Dict, Optional
  from datetime import datetime, timezone
  import json
  import logging
  import os
  import attr
  from sagemaker.feature_store.feature_processor._constants import EXECUTION_TIME_PIPELINE_PARAMETER, EXECUTION_TIME_PIPELINE_PARAMETER_FORMAT
label_desc: Use image node_id 3 for calling the EnvironmentHelper obj's underlying member method code with example usage: obj.load_training_resource_config() and returns: resource_config, None