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96 行
3.6 KiB
Python
96 行
3.6 KiB
Python
"""Quiz block – delegates to the existing question generation coordinator."""
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from __future__ import annotations
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import logging
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from typing import Any
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from ..models import BlockType, SourceAnchor
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from .base import BlockContext, BlockGenerator, GenerationFailure
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logger = logging.getLogger(__name__)
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class QuizGenerator(BlockGenerator):
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block_type = BlockType.QUIZ
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async def _generate(
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self, ctx: BlockContext
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) -> tuple[dict[str, Any], list[SourceAnchor], dict[str, Any]]:
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params = ctx.block.params
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chapter_title = params.get("chapter_title", ctx.chapter.title)
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chapter_summary = params.get("chapter_summary", ctx.chapter.summary)
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objectives = params.get("objectives") or ctx.chapter.learning_objectives
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num_questions = max(1, min(8, int(params.get("num_questions") or 3)))
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difficulty = str(params.get("difficulty") or "medium")
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question_type = str(params.get("question_type") or "")
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topic = chapter_title.strip() or ctx.book_id
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# Fold chapter context directly into the topic so the planner sees
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# it without needing a separate "preference" channel.
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extra_context = "; ".join(filter(None, [chapter_summary, *objectives]))
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if extra_context:
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topic = f"{topic}\n\n[Chapter context: {extra_context}]"
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question_types = [question_type] if question_type else []
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try:
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from deeptutor.agents.question.coordinator import AgentCoordinator
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coordinator = AgentCoordinator(
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kb_name=ctx.primary_kb,
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language=ctx.language,
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enable_idea_rag=ctx.rag_enabled and bool(ctx.primary_kb),
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)
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summary = await coordinator.generate_from_topic(
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user_topic=topic,
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num_questions=num_questions,
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difficulty=difficulty,
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question_types=question_types,
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)
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except Exception as exc:
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logger.warning(f"QuizGenerator failed: {exc}", exc_info=True)
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raise GenerationFailure(f"quiz generation failed: {exc}") from exc
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questions = self._extract_questions(summary)
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if not questions:
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raise GenerationFailure("no questions generated")
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return (
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{"questions": questions, "topic": topic},
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[],
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{
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"completed": summary.get("completed", 0),
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"failed": summary.get("failed", 0),
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"kb": ctx.primary_kb,
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},
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)
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@staticmethod
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def _extract_questions(summary: dict[str, Any]) -> list[dict[str, Any]]:
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results = summary.get("results") or []
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if not isinstance(results, list):
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return []
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out: list[dict[str, Any]] = []
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for item in results:
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if not isinstance(item, dict) or not item.get("success"):
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continue
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qa = item.get("qa_pair") or {}
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if not isinstance(qa, dict):
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continue
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out.append(
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{
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"question_id": qa.get("question_id", ""),
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"question": qa.get("question", ""),
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"question_type": qa.get("question_type", "written"),
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"options": qa.get("options") or {},
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"correct_answer": qa.get("correct_answer", ""),
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"explanation": qa.get("explanation", ""),
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"difficulty": qa.get("difficulty", ""),
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"concentration": qa.get("concentration", ""),
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}
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)
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return out
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__all__ = ["QuizGenerator"]
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