104 lines
4.0 KiB
Python
104 lines
4.0 KiB
Python
import uuid
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from datetime import datetime
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from sqlalchemy import String, Integer, Float, DateTime, ForeignKey, Index, func
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from sqlalchemy import Uuid
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.database import Base, JSONType
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class MonitoringRecord(Base):
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__tablename__ = "monitoring_records"
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id: Mapped[uuid.UUID] = mapped_column(
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Uuid(as_uuid=True),
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primary_key=True,
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default=uuid.uuid4,
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)
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brand_id: Mapped[uuid.UUID] = mapped_column(
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Uuid(as_uuid=True),
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ForeignKey("brands.id", ondelete="CASCADE"),
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nullable=False,
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)
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content_id: Mapped[str | None] = mapped_column(String(36), nullable=True)
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query_keywords: Mapped[str | None] = mapped_column(String(500), nullable=True)
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platform: Mapped[str | None] = mapped_column(String(50), nullable=True)
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baseline_citation_count: Mapped[int] = mapped_column(
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Integer, server_default="0", nullable=False,
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)
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baseline_sentiment: Mapped[float | None] = mapped_column(Float, nullable=True)
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baseline_rank: Mapped[int | None] = mapped_column(Integer, nullable=True)
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current_citation_count: Mapped[int] = mapped_column(
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Integer, server_default="0", nullable=False,
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)
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current_sentiment: Mapped[float | None] = mapped_column(Float, nullable=True)
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current_rank: Mapped[int | None] = mapped_column(Integer, nullable=True)
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change_type: Mapped[str | None] = mapped_column(String(20), nullable=True)
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change_details: Mapped[dict | None] = mapped_column(JSONType, nullable=True)
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check_interval_hours: Mapped[int] = mapped_column(
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Integer, server_default="24", nullable=False,
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)
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last_checked_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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next_check_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
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status: Mapped[str] = mapped_column(
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String(20), server_default="active", nullable=False,
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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server_default=func.now(),
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nullable=False,
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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server_default=func.now(),
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onupdate=func.now(),
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nullable=False,
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)
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brand: Mapped["Brand"] = relationship("Brand")
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baselines: Mapped[list["ContentBaseline"]] = relationship(
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"ContentBaseline", back_populates="monitoring_record", cascade="all, delete-orphan",
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)
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__table_args__ = (
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Index("idx_monitoring_records_brand_id", "brand_id"),
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Index("idx_monitoring_records_status", "status"),
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Index("idx_monitoring_records_next_check_at", "next_check_at"),
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)
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class ContentBaseline(Base):
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__tablename__ = "content_baselines"
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id: Mapped[uuid.UUID] = mapped_column(
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Uuid(as_uuid=True),
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primary_key=True,
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default=uuid.uuid4,
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)
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monitoring_record_id: Mapped[uuid.UUID] = mapped_column(
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Uuid(as_uuid=True),
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ForeignKey("monitoring_records.id", ondelete="CASCADE"),
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nullable=False,
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)
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brand_name: Mapped[str] = mapped_column(String(100), nullable=False)
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keyword: Mapped[str] = mapped_column(String(200), nullable=False)
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platform: Mapped[str] = mapped_column(String(50), nullable=False)
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citation_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
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sentiment_score: Mapped[float | None] = mapped_column(Float, nullable=True)
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rank_position: Mapped[int | None] = mapped_column(Integer, nullable=True)
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snapshot_data: Mapped[dict | None] = mapped_column(JSONType, nullable=True)
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recorded_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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server_default=func.now(),
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nullable=False,
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)
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monitoring_record: Mapped["MonitoringRecord"] = relationship(
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"MonitoringRecord", back_populates="baselines",
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)
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__table_args__ = (
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Index("idx_content_baselines_monitoring_record_id", "monitoring_record_id"),
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)
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