初始化

models/__init__.py

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+# 存放数据库表的模型包
+
+from .lottery_dlt import LotteryDLT

models/lottery_dlt.py

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+from datetime import date, datetime
+from typing import Optional
+
+from sqlalchemy import Column
+from sqlmodel import Date, SQLModel, Field, INT, DateTime
+from pydantic import field_validator
+
+class LotteryDLT(SQLModel, table=True):
+    """大乐透彩票数据表"""
+    __tablename__ = "lottery_dlt"
+
+    id: int | None = Field(default=None, primary_key=True, index=True)
+
+    issue: str = Field(
+        unique=True,
+        nullable=False,
+        max_length=10,
+        sa_column_kwargs={"comment": "彩票期号,唯一"}
+    )
+    """彩票期号"""
+
+    game_name: str = Field(
+        max_length=50,
+        nullable=False,
+        sa_column_kwargs={"comment": "彩票种类名称"}
+    )
+    """彩票种类名称"""
+
+    draw_date: date = Field(
+        sa_column = Column(Date, nullable=False, comment="开奖日期")
+    )
+    """开奖日期"""
+
+    draw_time: datetime = Field(
+        sa_column=Column(
+            DateTime(timezone=True),
+            nullable=False,
+            comment="开奖时间"
+        )
+    )
+    """开奖时间"""
+
+    # 前区排序后的5个号码
+    front_sort_1: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码1"))
+    """前区排序后的号码1"""
+    front_sort_2: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码2"))
+    """前区排序后的号码2"""
+    front_sort_3: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码3"))
+    """前区排序后的号码3"""
+    front_sort_4: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码4"))
+    """前区排序后的号码4"""
+    front_sort_5: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码5"))
+    """前区排序后的号码5"""
+
+    # 后区排序后的2个号码
+    back_sort_1: Optional[int] = Field(sa_column=Column(INT, comment="后区排序后的号码1"))
+    """后区排序后的号码1"""
+    back_sort_2: Optional[int] = Field(sa_column=Column(INT, comment="后区排序后的号码2"))
+    """后区排序后的号码2"""
+
+    # 前区5个号码
+    front_1: int = Field(sa_column=Column(INT, comment="前区号码1"))
+    """前区号码1"""
+    front_2: int = Field(sa_column=Column(INT, comment="前区号码2"))
+    """前区号码2"""
+    front_3: int = Field(sa_column=Column(INT, comment="前区号码3"))
+    """前区号码3"""
+    front_4: int = Field(sa_column=Column(INT, comment="前区号码4"))
+    """前区号码4"""
+    front_5: int = Field(sa_column=Column(INT, comment="前区号码5"))
+    """前区号码5"""
+
+    # 后区2个号码
+    back_1: int = Field(sa_column=Column(INT, comment="后区号码1"))
+    """后区号码1"""
+    back_2: int = Field(sa_column=Column(INT, comment="后区号码2"))
+    """后区号码2"""
+
+    # 元数据字段
+    created_at: datetime = Field(
+        default_factory=datetime.now,
+        sa_column_kwargs={"comment": "创建时间"}
+    )
+    """创建时间"""
+
+    updated_at: datetime = Field(
+        default_factory=datetime.now,
+        sa_column_kwargs={"onupdate": datetime.now, "comment": "更新时间"}
+    )
+    """更新时间"""
+
+    # Pydantic 校验器：确保号码合法性
+    @field_validator(
+        'front_1', 'front_2', 'front_3', 'front_4', 'front_5',
+        'front_sort_1', 'front_sort_2', 'front_sort_3', 'front_sort_4', 'front_sort_5'
+    )
+    @classmethod
+    def validate_front(cls, v):
+        if not 1 <= v <= 35:
+            raise ValueError(f'前区号码必须在1-35之间，当前值: {v}')
+        return v
+
+    @field_validator('back_1', 'back_2', 'back_sort_1', 'back_sort_2')
+    @classmethod
+    def validate_back(cls, v):
+        if not 1 <= v <= 12:
+            raise ValueError(f'后区号码必须在1-12之间，当前值: {v}')
+        return v