基于 XGBoost 与 SHAP 的医疗自动化办公与可视化系统（下）

— 登录接口 —

@app.post(“/token”) def login(form_data: OAuth2PasswordRequestForm = Depends()): user = fake_users_db.get(form_data.username) if not user or form_data.password != user[“password”]: raise HTTPException(status_code=400, detail=“用户名或密码错误”) access_token = create_access_token(data={“sub”: user[“username”]}) return {“access_token”: access_token, “token_type”: “bearer”}

— AI 预测接口 —

@app.post(“/predict”) def predict(file: UploadFile = File(…), username: str = Depends(verify_token)): try: model = load(“ai_module/model.pkl”) scaler = load(“ai_module/scaler.pkl”) ex