code: def find_field_names(fields, model=DEFAULT_MODEL, app=DEFAULT_APP, score_cutoff=50, pad_with_none=False):
      
      fields = util.listify(fields)
      model = get_model(model, app)
      available_field_names = model._meta.get_all_field_names()
      matched_fields = []
      for field_name in fields:
          match = fuzzy.extractOne(str(field_name), available_field_names)
          if match and match[1] is not None and match[1] >= score_cutoff:
              matched_fields += [match[0]]
          elif pad_with_none:
              matched_fields += [None]
      return matched_fields
docs: Use fuzzy string matching to find similar model field names without consulting a synonyms list
  
      Returns:
        list: A list model field names (strings) sorted from most likely to least likely.
          [] If no similar field names could be found in the indicated model
          [None] If none found and and `pad_with_none` set
  
      Examples:
  
        >>> find_field_names(['date_time', 'title_prefix', 'sales'], model='WikiItem')
        ['date', 'model', 'net_sales']