84 lines
2.1 KiB
Python
84 lines
2.1 KiB
Python
"""掌握度引擎：状态分级、按全局知识点节点答题后更新。"""
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from __future__ import annotations
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from dataclasses import dataclass
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from sqlalchemy.orm import Session
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from models import Knowledge, UserKnowledge
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from services.knowledge_service import ensure_knowledge, ensure_user_knowledge
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MASTERY_DELTA = {
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"chapter": (5, 4),
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"legacy": (4, 3),
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"imported": (0, 0),
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}
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@dataclass
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class KnowledgeView:
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id: int
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knowledge_id: int
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name: str
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mastery: int
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position: int
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domain: str
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category: str
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def status_for(mastery: int) -> str:
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if mastery >= 85:
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return "已掌握"
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if mastery >= 75:
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return "基本掌握"
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if mastery >= 60:
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return "待加强"
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return "重点"
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def action_for(mastery: int) -> str:
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if mastery < 60:
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return "优先强化"
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if mastery < 75:
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return "继续练习"
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return "保持复习"
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def snapshot(db: Session, user_id: int) -> list[KnowledgeView]:
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rows = (
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db.query(UserKnowledge, Knowledge)
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.join(Knowledge, Knowledge.id == UserKnowledge.knowledge_id)
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.filter(UserKnowledge.user_id == user_id)
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.order_by(UserKnowledge.position.asc(), UserKnowledge.id.asc())
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.all()
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)
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return [
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KnowledgeView(
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id=user_knowledge.id,
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knowledge_id=knowledge.id,
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name=knowledge.name,
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mastery=user_knowledge.mastery,
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position=user_knowledge.position,
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domain=knowledge.domain,
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category=knowledge.category,
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)
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for user_knowledge, knowledge in rows
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]
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def apply_answers(
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db: Session,
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user_id: int,
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mode: str,
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answered: list[tuple[str, bool]],
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) -> None:
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"""按题目全量知识点逐点调整掌握度（答对加分、答错扣分，封顶 0-100）。"""
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plus, minus = MASTERY_DELTA.get(mode, (4, 3))
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for knowledge_name, is_correct in answered:
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knowledge = ensure_knowledge(db, knowledge_name)
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row = ensure_user_knowledge(db, user_id, knowledge)
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row.mastery = max(
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0, min(100, row.mastery + (plus if is_correct else -minus))
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)
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