Educational MCP Server

"""轻量级内存“数据库”，用于演示模块间数据共享。 真实部署可替换为 SQLAlchemy/Redis，这里保留相同接口便于平滑升级。 """ from __future__ import annotations from dataclasses import dataclass, field from datetime import datetime from typing import Dict, List, Optional @dataclass class KnowledgeState: concept: str mastery_level: int = 0 @dataclass class EmotionLog: emotion: str confidence: float timestamp: datetime = field(default_factory=datetime.utcnow) context: Optional[str] = None @dataclass class Student: id: str name: str = "" knowledge_states: Dict[str, KnowledgeState] = field(default_factory=dict) emotion_logs: List[EmotionLog] = field(default_factory=list) _STUDENTS: Dict[str, Student] = {} def get_student(student_id: str) -> Student: if student_id not in _STUDENTS: _STUDENTS[student_id] = Student(id=student_id) return _STUDENTS[student_id] def update_mastery(student_id: str, concept: str, delta: int) -> int: student = get_student(student_id) ks = student.knowledge_states.get(concept) if not ks: ks = KnowledgeState(concept=concept, mastery_level=0) student.knowledge_states[concept] = ks ks.mastery_level = max(0, min(100, ks.mastery_level + delta)) return ks.mastery_level def set_mastery(student_id: str, concept: str, value: float) -> int: student = get_student(student_id) ks = student.knowledge_states.get(concept) if not ks: ks = KnowledgeState(concept=concept, mastery_level=0) student.knowledge_states[concept] = ks ks.mastery_level = int(max(0, min(100, value * 100))) return ks.mastery_level def latest_emotion(student_id: str) -> Optional[EmotionLog]: student = get_student(student_id) return student.emotion_logs[-1] if student.emotion_logs else None def log_emotion(student_id: str, emotion: str, confidence: float, context: Optional[str] = None) -> None: student = get_student(student_id) student.emotion_logs.append(EmotionLog(emotion=emotion, confidence=confidence, context=context)) def dump_mastery(student_id: str) -> Dict[str, float]: student = get_student(student_id) return {c: ks.mastery_level / 100 for c, ks in student.knowledge_states.items()}