59 lines
2.2 KiB
Python
59 lines
2.2 KiB
Python
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# scheme/student.py
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from pydantic import BaseModel, Field,model_validator
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from datetime import datetime, date
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from typing import Optional
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# ---------- 请求体模型 ----------
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class StudentCreate(BaseModel):
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stu_id: int = Field(..., ge = 1)
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class_id: int = Field(..., ge = 1)
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advisor_id: int = Field(..., ge=1, description="顾问老师id，对应 advisors.advisor_id")
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stu_name: str = Field(..., min_length=1, max_length=10)
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native_place: str = Field(..., min_length=1, max_length=30)
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graduate_school: str = Field(..., min_length=1, max_length=50)
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education: str = Field(..., min_length=1, max_length=10)
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major: str = Field(..., min_length=1, max_length=20)
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age: int = Field(..., ge = 18, le =40)
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gender: str = Field(..., min_length=1, max_length=20)
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graduate_time:date= Field(...)
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enroll_time:date= Field(...)
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# @model_validator(mode="after")
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# def check_time_order(self):
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# enroll = self.enroll_time
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# graduate = self.graduate_time
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#
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# # 两个时间都传入时才校验
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# if enroll and graduate:
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# if enroll >= graduate:
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# raise ValueError("入学时间必须早于毕业时间")
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class StudentUpdate(BaseModel):
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class_id: Optional[int] = Field(None)
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advisor_id: Optional[int] = Field(None, ge=1)
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stu_name: Optional[str] = Field(None, min_length=1, max_length=10)
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native_place: Optional[str] = Field(None, min_length=1, max_length=30)
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graduate_school: Optional[str] = Field(None, min_length=1, max_length=50)
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education: Optional[str] = Field(None, min_length=1, max_length=10)
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major: Optional[str] = Field(None, min_length=1, max_length=20)
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age: Optional[int] = Field(None, ge = 18, le =40)
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gender: Optional[str] = Field(None, min_length=1, max_length=20)
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# ----------响应体模型-------------
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class StudentResponse(BaseModel):
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stu_id: int
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class_id: int # 数据库非空，这里必须是 int
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stu_name: str
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native_place: str
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graduate_school: Optional[str]
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education: str
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major: Optional[str]
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# 敏感字段已在此模型中脱敏
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class Config:
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from_attributes = True #支持orm对象转换,让pydantic可以读取ORM数据库对象(SQLAlchemy模型)
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