text: import json
  import sys
  
  def read_config(file_path: str) -> dict:
      file = open(file_path, 'r')
      try:
          try:
              df = json.load(file)
              validate(df)
              return df
          except json.decoder.JSONDecodeError:
              print("Please enter all field values.")
      
      finally:
          file.close()
  
  def validate(df: dict):
      isOk: bool = True
      if type(df['period']) != int:
          print('period parameter must be int.')
          isOk = False
      elif df['period'] <= 0:
          print('period parameter must be greater than 0.')
          isOk = False
  
      if type(df['agents']) != int:
          print('agents parameter must be int.')
          isOk = False
      elif df['agents'] <= 0:
          print('agents parameter must be greater than 0.')
          isOk = False
      
      if type(df['times']) != int:
          print('times parameter must be int.')
          isOk = False
      elif df['times'] <= 0:
          print('times parameter must be greater than 0.')
          isOk = False
  
      if type(df['beta']) != float:
          print('beta parameter must be float.')
          isOk = False
      elif df['beta'] >= 1.0:
          print('beta parameter must be less than 1.0.')
          isOk = False
  
      if type(df['chi']) != float:
          print('chi parameter must be float.')
          isOk = False
      
      if type(df['interest_rate']) != float:
          print('interest_rate parameter must be float.')
          isOk = False
  
      if type(df['token_supply']) != int:
          print('token_supply parameter must be int.')
          isOk = False
      elif df['token_supply'] <= 0:
          print('token_supply parameter must be greater than 0.')
          isOk = False
  
      if type(df['price']['mu']) != float:
          print('price mu parameter must be float.')
          isOk = False
  
      if type(df['productivity']['initial_value']) != float:
          print('productivity initial_value parameter must be float.')
          isOk = False
      elif df['productivity']['initial_value'] <= 0.0:
          print('productivity initial_value parameter must be greater than 0.')
          isOk = False
  
      if type(df['productivity']['mu']) != float:
          print('productivity mu parameter must be float.')
          isOk = False
      
      if type(df['productivity']['sigma']) != float:
          print('productivity sigma parameter must be float.')
          isOk = False
  
      if type(df['utility']['mu']) != float:
          print('utility mu parameter must be float.')
          isOk = False
      elif df['utility']['mu'] <= 0.0:
          print('utility mu parameter must be greater than 0.')
          isOk = False
  
      if type(df['utility']['sigma']) != float:
          print('utility sigma parameter must be float.')
          isOk = False
      elif df['utility']['sigma'] <= 0.0:
          print('utility sigma parameter must be greater than 0.')
          isOk = False
  
      if df['interest_rate'] < df['price']['mu']:
          print('risk free rate must be less than expected rate of return under the risk-neutral measure.')
          isOk = False
      
      if isOk == True:
          return
      else:
          sys.exit(0)