"""Reflection question generator for post-lesson metacognition.
中文：反思问题生成器，按照难度和关注能力输出题目列表，与 API 解耦。
"""
from __future__ import annotations
from typing import Dict, List
from ...pydantic_models import ReflectionRequest, ReflectionResponse
def generate_reflections(payload: ReflectionRequest) -> ReflectionResponse:
base_questions: Dict[str, List[str]] = {
"easy": [
"今天学到的最重要概念是什么？",
"用自己的话复述一个课堂例子。",
],
"medium": [
"本课知识与之前内容有什么联系？",
"如果向同学讲授这个内容，你会怎么安排步骤？",
],
"hard": [
"当遇到相关题目时，你最容易出错的环节是什么？如何避免？",
"设计一道新题检验该知识点，并写出答案。",
],
}
questions: List[str] = list(base_questions[payload.difficulty])
if payload.skills_focus:
questions.extend(
f"在本课中，你如何体现「{skill}」这一能力？"
for skill in payload.skills_focus
)
return ReflectionResponse(
lesson_title=payload.lesson_title,
difficulty=payload.difficulty,
questions=questions,
)
