gitrusprusandCursor
9dfe713668
Unify parsing workers, analytics API with PostgreSQL, map UI, and PI distribution into centers/ with Docker Compose. Co-authored-by: Cursor <cursoragent@cursor.com>
48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
from datetime import datetime, timezone
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from sqlalchemy import DateTime, Float, ForeignKey, Integer, String, Text
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from .database import Base
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class MapObject(Base):
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__tablename__ = "map_objects"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, index=True)
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name: Mapped[str] = mapped_column(String(255), nullable=False)
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description: Mapped[str] = mapped_column(Text, default="")
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type: Mapped[str] = mapped_column(String(50), nullable=False)
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latitude: Mapped[float] = mapped_column(Float, nullable=False)
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longitude: Mapped[float] = mapped_column(Float, nullable=False)
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created_at: Mapped[datetime] = mapped_column(
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DateTime,
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default=lambda: datetime.now(timezone.utc),
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)
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media: Mapped[list["ObjectMedia"]] = relationship(
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back_populates="object",
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cascade="all, delete-orphan",
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)
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class ObjectMedia(Base):
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__tablename__ = "object_media"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, index=True)
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object_id: Mapped[int] = mapped_column(
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ForeignKey("map_objects.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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stored_name: Mapped[str] = mapped_column(String(255), nullable=False)
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original_name: Mapped[str] = mapped_column(String(255), nullable=False)
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content_type: Mapped[str] = mapped_column(String(100), nullable=False)
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size: Mapped[int] = mapped_column(Integer, nullable=False)
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created_at: Mapped[datetime] = mapped_column(
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DateTime,
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default=lambda: datetime.now(timezone.utc),
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)
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object: Mapped["MapObject"] = relationship(back_populates="media")
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