65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
import uuid
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from datetime import datetime
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from sqlalchemy import String, Float, Integer, ForeignKey, Index, func
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from sqlalchemy import Uuid
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column
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from sqlalchemy.types import TypeDecorator, JSON
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from app.database import Base
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class JSONType(TypeDecorator):
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impl = JSON
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cache_ok = True
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def load_dialect_impl(self, dialect):
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if dialect.name == "postgresql":
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return dialect.type_descriptor(JSONB())
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return dialect.type_descriptor(JSON())
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class CompetitorInsight(Base):
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__tablename__ = "competitor_insights"
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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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competitor_name: Mapped[str] = mapped_column(String(100), nullable=False)
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analysis_type: Mapped[str] = mapped_column(
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String(50), nullable=False,
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)
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insight_data: Mapped[dict | None] = mapped_column(JSONType, nullable=True)
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citation_count_brand: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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citation_count_competitor: Mapped[int] = mapped_column(Integer, default=0, nullable=False)
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sentiment_brand: Mapped[float | None] = mapped_column(Float, nullable=True)
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sentiment_competitor: Mapped[float | None] = mapped_column(Float, nullable=True)
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platform_breakdown: Mapped[dict | None] = mapped_column(JSONType, nullable=True)
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gap_analysis: Mapped[dict | None] = mapped_column(JSONType, nullable=True)
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opportunity_areas: Mapped[dict | None] = mapped_column(JSONType, nullable=True)
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recommendations: Mapped[dict | None] = mapped_column(JSONType, nullable=True)
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confidence: Mapped[str] = mapped_column(String(20), default="medium", nullable=False)
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period_days: Mapped[int] = mapped_column(Integer, default=30, nullable=False)
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created_at: Mapped[datetime] = mapped_column(
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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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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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__table_args__ = (
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Index("idx_competitor_insights_brand_id", "brand_id"),
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Index("idx_competitor_insights_analysis_type", "analysis_type"),
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)
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