import arlo

database/thealthknowledge/health_knowledge.py

@@ -0,0 +1,38 @@
+from dataclasses import dataclass
+from datetime import datetime
+from typing import Optional
+
+from sqlalchemy import Column, String, TIMESTAMP, func, Boolean
+from sqlalchemy.dialects.postgresql import BIGINT
+
+from database.database import Base
+
+
+@dataclass
+class THealthKnowledge(Base):
+    __tablename__ = 't_health_knowledge'
+
+    id: int = Column(BIGINT, primary_key=True, autoincrement=True, comment='序号')
+    subject: Optional[str] = Column(String, nullable=True, comment='主题')
+    knowledge: Optional[str] = Column(String, nullable=True, comment='知识内容')
+    keywords: Optional[str] = Column(String, nullable=True, comment='关键字')
+    url: Optional[str] = Column(String, nullable=True, comment='链接')
+    is_used: bool = Column(Boolean, default=False, nullable=False, comment='表示数据条目是否已被使用')
+    create_time: datetime = Column(TIMESTAMP(timezone=True), server_default=func.now(), nullable=False, comment='创建时间')
+
+    def __repr__(self):
+        return (f"<THealthKnowledge(id={self.id}, "
+                f"subject={self.subject}, "
+                f"knowledge={self.knowledge}, "
+                f"create_time={self.create_time})>")
+
+# 把未使用的数据按照create_time排序，获取最老的1条数据
+def get_oldest_unused_data(db):
+    unused_data = db.query(THealthKnowledge).filter(THealthKnowledge.is_used == False).order_by(
+        THealthKnowledge.create_time).first()
+    return unused_data
+
+# 把数据标记为已使用
+def mark_data_as_used(db, data):
+    data.is_used = True
+    db.commit()