46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
"""
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新闻缓存模型
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"""
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from sqlalchemy import Column, Integer, String, DateTime, Text, Boolean, Date
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from sqlalchemy.sql import func
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from .base import Base
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class NewsCache(Base):
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"""新闻缓存表"""
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__tablename__ = "news_cache"
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id = Column(Integer, primary_key=True, autoincrement=True, comment="缓存 ID")
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# 新闻基本信息
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news_id = Column(String(100), unique=True, nullable=False, index=True, comment="新闻 ID（来自会会接口）")
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title = Column(String(500), nullable=False, comment="新闻标题")
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summary = Column(Text, comment="新闻摘要")
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content = Column(Text, comment="新闻内容")
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# 来源信息
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source = Column(String(200), comment="来源")
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author = Column(String(100), comment="作者")
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publish_time = Column(DateTime, comment="发布时间")
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# 分类标签
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category = Column(String(100), comment="分类")
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tags = Column(String(500), comment="标签（逗号分隔）")
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# 互动统计
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view_count = Column(Integer, default=0, comment="阅读数")
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comment_count = Column(Integer, default=0, comment="评论数")
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like_count = Column(Integer, default=0, comment="点赞数")
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# 缓存状态
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is_cached = Column(Boolean, default=True, comment="是否已缓存")
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cache_date = Column(Date, server_default=func.now(), index=True, comment="缓存日期")
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# 时间戳
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created_at = Column(DateTime, server_default=func.now(), comment="创建时间")
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updated_at = Column(DateTime, server_default=func.now(), onupdate=func.now(), comment="更新时间")
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def __repr__(self):
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return f"<NewsCache(id={self.id}, news_id='{self.news_id}', title='{self.title[:30]}...')>"
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