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