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| from typing import Tuple | |
| from .question import Question | |
| from ..llms import get_llm_fn | |
| class QuestionExecutor: | |
| def __init__(self, question: Question, lang: str = 'cn', llm: str = 'chatgpt', llm_cfgs=None): | |
| self.question = question | |
| self.lang = lang | |
| self.llm = llm | |
| self.llm_cfgs = dict(llm_cfgs or {}) | |
| def question_text(self): | |
| return self.question.texts[self.lang] | |
| def question_name(self): | |
| return self.question.names[self.lang] | |
| def llm_answer(self, qs_text: str) -> str: | |
| return get_llm_fn(self.llm)(qs_text, **self.llm_cfgs) | |
| def check(self, qs_text: str) -> Tuple[str, bool, str]: | |
| answer_text = self.llm_answer(qs_text) | |
| correct, explanation = self.check_answer(qs_text, answer_text) | |
| return answer_text, correct, explanation | |
| def check_answer(self, user_text: str, answer_text: str) -> Tuple[bool, str]: | |
| inputs = { | |
| 'question_text': self.question_text, | |
| 'user_text': user_text, | |
| 'answer_text': answer_text, | |
| 'lang': self.lang, | |
| 'llm_callback': self.llm_answer, | |
| # this list can be extended if needed in the future | |
| } | |
| correct, explanation = self.question.checker(inputs) | |
| if explanation is None: | |
| if correct: | |
| explanation = 'LLM的回答满足要求' if self.lang == 'cn' else 'Correct Answer From LLM' | |
| else: | |
| explanation = 'LLM的回答不满足要求' if self.lang == 'cn' else 'Wrong Answer From LLM' | |
| return correct, explanation | |