Zhang Jing Xuan
0841b1a103
- 前端：Vue3 + TS + Element Plus，24 个页面路由（课件/组题/教案/动画/思维导图/作文批改/命题/课堂/资源/社区等） - 后端：FastAPI + SQLAlchemy + SQLite，17 个路由模块，AI 服务层含降级模板 - AI：glm-5.x 推理模型已禁用思维链，确保输出真实内容 - 修复：ai_service 两处请求体注入 enable_thinking/thinking disabled - 测试账号：13900999999 / test1234
66 lines
1.6 KiB
Python
66 lines
1.6 KiB
Python
from pydantic import BaseModel, Field
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from datetime import datetime
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from typing import Optional, Any
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class ExerciseAIGenerate(BaseModel):
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prompt: str = Field(..., min_length=1, description="练习生成描述")
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exercise_type: str = Field(default="choice")
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subject: str = ""
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knowledge_points: list[str] = []
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count: int = Field(default=5, ge=1, le=50)
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class ExerciseCreate(BaseModel):
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title: str = Field(..., min_length=1, max_length=200)
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exercise_type: str = "choice"
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subject: str = ""
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knowledge_points: list[str] = []
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questions: list[dict[str, Any]] = []
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settings: dict[str, Any] = {}
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class ExerciseUpdate(BaseModel):
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title: Optional[str] = None
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exercise_type: Optional[str] = None
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subject: Optional[str] = None
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knowledge_points: Optional[list[str]] = None
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questions: Optional[list[dict[str, Any]]] = None
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settings: Optional[dict[str, Any]] = None
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class ExerciseAttemptCreate(BaseModel):
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student_name: str = ""
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answers: list[Any] = []
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score: int = 0
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total: int = 0
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duration: int = 0
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class ExerciseAttemptOut(BaseModel):
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id: int
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exercise_id: int
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student_name: str = ""
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answers: list[Any] = []
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score: int = 0
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total: int = 0
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duration: int = 0
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created_at: datetime | None = None
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model_config = {"from_attributes": True}
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class ExerciseOut(BaseModel):
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id: int
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user_id: int
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title: str
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exercise_type: str = "choice"
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subject: str = ""
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knowledge_points: list = []
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questions: list = []
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settings: dict = {}
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created_at: datetime | None = None
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updated_at: datetime | None = None
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model_config = {"from_attributes": True}
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