from pydantic import BaseModel
from typing import Optional
from datetime import datetime

from sqlalchemy import BigInteger
from sqlalchemy.dialects.mssql import TINYINT
from sqlalchemy.dialects.mysql import VARCHAR


#===============老师表===================
#===============请求体模型================
class TeacherCreate(BaseModel):
    teacher_no: Optional[int] = None
    teacher_name: Optional[str] = None
    email: Optional[str] = None
    phone: Optional[str] = None
    remark: Optional[str] = None

class TeacherUpdate(BaseModel):
    teacher_no: Optional[str] = None
    teacher_name: Optional[str] = None
    email: Optional[str] = None
    phone: Optional[str] = None
    remark: Optional[str] = None

#================响应体==================
class TeacherOut(BaseModel):
    id: int
    teacher_no: str
    teacher_name: str
    phone: Optional[str]
    email: Optional[str]
    remark: Optional[str]
    created_at: datetime
    updated_at: datetime
    is_deleted: int
#`orm_mode = True` 是 Pydantic v1 的配置项。开启之后，Pydantic 可以直接读取 SQLAlchemy
# 查询得到的 ORM 对象的属性，自动映射生成接口响应 JSON，不用手动把 ORM 对象转为字典。
# 这个配置只用在响应体 Out 模型，新增和修改的请求模型不需要。
    class Config:
        from_attributes=True

#=====班级老师中间表 class_teachers =========
class ClassTeachersCreate(BaseModel):
    class_id: int
    teacher_id: int
    role: str
#=================响应体===================
class ClassTeacherOut(BaseModel):
    id: int
    class_id: int
    teacher_id: int
    role: str
    created_at: datetime
    updated_at: datetime
    is_deleted: int
    class Config:
        from_attributes=True