44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
# path: schema/employment_schema.py
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# time：2026年9月12日10:30
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# title：就业信息，请求模型、响应模型
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# author：周兴
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# info：定义API接收的数据、返回的数据的格式，通过Pydantic做数据校验
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from pydantic import BaseModel, Field, ConfigDict
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from datetime import datetime
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# 新增就业信息 请求模型
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class EmploymentCreate(BaseModel):
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# 学生ID，新增就业信息时必须指定学生
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student_id: int
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# 就业开放时间
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employment_start_time: datetime | None = None
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# offer下发时间
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offer_time: datetime | None = None
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# 就业公司名称
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company_name: str | None = None
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# 就业薪资，不能小于0
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salary: float | None = Field(default=None, ge=0)
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# 修改就业信息 请求模型
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class EmploymentUpdate(BaseModel):
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# 修改时所有字段都可以不传
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employment_start_time: datetime | None = None
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offer_time: datetime | None = None
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company_name: str | None = None
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salary: float | None = Field(default=None, ge=0)
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# 就业信息 响应模型
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# API返回给用户的数据格式
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class EmploymentResponse(BaseModel):
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id: int
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student_id: int
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employment_start_time: datetime | None = None
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offer_time: datetime | None = None
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company_name: str | None = None
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salary: float | None = None
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flag: int
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# 允许 Pydantic 读取 SQLAlchemy ORM 对象
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model_config = ConfigDict(from_attributes=True)
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