geo/backend/app/models/brand.py

69 lines
2.5 KiB
Python

import uuid
from datetime import datetime
from sqlalchemy import String, DateTime, func, JSON
from sqlalchemy import Uuid
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlalchemy.types import TypeDecorator
from app.database import Base
class JSONType(TypeDecorator):
"""A JSON type that uses JSONB on PostgreSQL and JSON on other databases."""
impl = JSON
cache_ok = True
def load_dialect_impl(self, dialect):
if dialect.name == "postgresql":
return dialect.type_descriptor(JSONB())
return dialect.type_descriptor(JSON())
class Brand(Base):
__tablename__ = "brands"
id: Mapped[uuid.UUID] = mapped_column(
Uuid(as_uuid=True),
primary_key=True,
default=uuid.uuid4,
)
user_id: Mapped[uuid.UUID] = mapped_column(
Uuid(as_uuid=True),
nullable=False,
)
name: Mapped[str] = mapped_column(String(50), nullable=False)
aliases: Mapped[list] = mapped_column(JSONType, default=list, nullable=False)
website: Mapped[str | None] = mapped_column(String(500), nullable=True)
industry: Mapped[str | None] = mapped_column(String(50), nullable=True)
platforms: Mapped[list] = mapped_column(JSONType, default=list, nullable=False)
frequency: Mapped[str] = mapped_column(String(20), default="weekly", nullable=False)
status: Mapped[str] = mapped_column(String(20), default="active", nullable=False)
last_queried_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True)
next_query_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True)
created_at: Mapped[datetime] = mapped_column(
server_default=func.now(),
nullable=False,
)
updated_at: Mapped[datetime] = mapped_column(
server_default=func.now(),
onupdate=func.now(),
nullable=False,
)
# Relationship to Competitor - one brand can have multiple competitors
competitors: Mapped[list["Competitor"]] = relationship(
"Competitor", back_populates="brand", cascade="all, delete-orphan"
)
# Relationship to Suggestion - one brand can have multiple suggestions
suggestions: Mapped[list["Suggestion"]] = relationship(
"Suggestion", back_populates="brand", cascade="all, delete-orphan"
)
# Import at bottom to avoid circular import
from app.models.competitor import Competitor # noqa: E402, F401
from app.models.suggestion import Suggestion # noqa: E402, F401