code: def make_input_from_json_string(
      sentence_id: SentenceId,
      json_string: str,
      translator: "Translator",
  ) -> TranslatorInput:
      """
      Returns a TranslatorInput object from a JSON object, serialized as a string.
  
      :param sentence_id: Sentence id.
      :param json_string: A JSON object serialized as a string that must contain a key "text", mapping to the input text,
             and optionally a key "factors" that maps to a list of strings, each of which representing a factor sequence
             for the input text. Constraints and an avoid list can also be added through the "constraints" and "avoid"
             keys.
      :param translator: A translator object.
      :return: A TranslatorInput.
      """
      try:
          jobj = json.loads(json_string)
          return make_input_from_dict(sentence_id, jobj, translator)
  
      except Exception as e:
          logger.exception(e, exc_info=True)  # type: ignore
          return _bad_input(sentence_id, reason=json_string)
  
imports: import copy
  import itertools
  import json
  import logging
  from dataclasses import dataclass
  from functools import partial
  from typing import Any, Callable, Dict, Generator, List, Optional, Set, Tuple, Union
  import numpy
  import torch
  from .None import constants
  from .None import lexicon
  from .None import utils
  from .None import vocab
  from .beam_search import CandidateScorer, get_search_algorithm, GreedySearch, SearchResult
  from .data_io import tokens2ids, get_prepended_token_length
  from .model import SockeyeModel
label_desc: Use image node_id 5 for calling a global function with example usage: make_input_from_json_string(sentence_id, json_string, translator) and returns: make_input_from_dict, _bad_input