64 lines
3.2 KiB
Python
64 lines
3.2 KiB
Python
"""监测优化数据模型"""
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from sqlalchemy import Column, String, Integer, Float, Boolean, DateTime, ForeignKey, Text, func
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.database import Base
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import uuid
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from datetime import datetime
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class PublishRecord(Base):
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__tablename__ = "publish_records"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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organization_id: Mapped[str] = mapped_column(String(36), index=True)
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content_title: Mapped[str] = mapped_column(String(200))
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content_id: Mapped[str | None] = mapped_column(String(36), nullable=True) # 关联内容生产的ID
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platform: Mapped[str] = mapped_column(String(50)) # wechat/zhihu/xiaohongshu...
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published_url: Mapped[str | None] = mapped_column(String(500), nullable=True)
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status: Mapped[str] = mapped_column(String(20), default="draft") # draft/published/archived
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published_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True)
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
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metrics: Mapped[list["ContentMetrics"]] = relationship(back_populates="publish_record")
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class ContentMetrics(Base):
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__tablename__ = "content_metrics"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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publish_record_id: Mapped[str] = mapped_column(String(36), ForeignKey("publish_records.id"))
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recorded_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
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# 互动指标
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views: Mapped[int] = mapped_column(Integer, default=0)
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likes: Mapped[int] = mapped_column(Integer, default=0)
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comments: Mapped[int] = mapped_column(Integer, default=0)
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shares: Mapped[int] = mapped_column(Integer, default=0)
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bookmarks: Mapped[int] = mapped_column(Integer, default=0)
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# GEO核心指标
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ai_citation_count: Mapped[int] = mapped_column(Integer, default=0) # 被AI模型引用次数
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search_impressions: Mapped[int] = mapped_column(Integer, default=0) # 搜索曝光
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search_clicks: Mapped[int] = mapped_column(Integer, default=0) # 搜索点击
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# 阅读指标
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avg_read_duration: Mapped[float] = mapped_column(Float, default=0.0) # 平均阅读时长(秒)
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read_completion_rate: Mapped[float] = mapped_column(Float, default=0.0) # 完读率
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publish_record: Mapped["PublishRecord"] = relationship(back_populates="metrics")
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class OptimizationInsight(Base):
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__tablename__ = "optimization_insights"
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id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
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organization_id: Mapped[str] = mapped_column(String(36), index=True)
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content_id: Mapped[str | None] = mapped_column(String(36), nullable=True)
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insight_type: Mapped[str] = mapped_column(String(30)) # trend/anomaly/opportunity/suggestion
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title: Mapped[str] = mapped_column(String(200))
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description: Mapped[str] = mapped_column(Text)
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recommendation: Mapped[str] = mapped_column(Text)
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severity: Mapped[str] = mapped_column(String(20), default="info") # info/warning/success
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applied: Mapped[bool] = mapped_column(Boolean, default=False)
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
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