"""
新闻缓存模型
"""
from sqlalchemy import Column, Integer, String, DateTime, Text, Boolean, Date
from sqlalchemy.sql import func

from .base import Base


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