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
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
from pydantic import BaseModel, Field
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from typing import Any
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class AIRequest(BaseModel):
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prompt: str = Field(..., min_length=1, description="AI请求内容")
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context: dict[str, Any] = Field(default_factory=dict, description="上下文信息")
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stream: bool = Field(default=False, description="是否流式返回")
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class EssayGradeRequest(BaseModel):
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essay_text: str = Field(..., min_length=10, description="作文文本")
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grade_level: str = Field(default="初中", description="年级段")
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essay_type: str = Field(default="记叙文", description="作文类型")
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total_score: int = Field(default=50, description="满分")
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class ExamGenerateRequest(BaseModel):
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subject: str = Field(..., min_length=1)
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grade: str = ""
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knowledge_points: list[str] = []
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difficulty: str = Field(default="medium", pattern=r"^(easy|medium|hard)$")
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question_types: list[str] = Field(default=["choice"])
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count: int = Field(default=10, ge=1, le=50)
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total_score: int = Field(default=100)
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class HtmlExportRequest(BaseModel):
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title: str = Field(default="教学内容", max_length=200)
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html: str = Field(..., min_length=1)
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class ExamExportRequest(BaseModel):
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title: str = Field(default="试卷", max_length=200)
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subject: str = ""
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grade: str = ""
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questions: list[dict[str, Any]] = []
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answers: list[Any] = []
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