54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
from geoalchemy2 import Geography
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from sqlalchemy import String, Integer, Float, BigInteger, UniqueConstraint
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from sqlalchemy.orm import relationship
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from sqlalchemy.orm import Mapped, mapped_column
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from app.db.models.base import Base
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class Location(Base):
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__tablename__ = "locations"
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__table_args__ = (
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UniqueConstraint("osm_type", "osm_id", name="uq_osm_location"),
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)
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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# OSM Identifiers
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place_id: Mapped[int] = mapped_column(BigInteger, unique=True, index=True)
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osm_id: Mapped[int] = mapped_column(BigInteger)
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osm_type: Mapped[str] = mapped_column(String(20))
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# Coordinates
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latitude: Mapped[float] = mapped_column(Float)
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longitude: Mapped[float] = mapped_column(Float)
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# Address Info
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house_number: Mapped[str] = mapped_column(String(20), nullable=True)
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road: Mapped[str] = mapped_column(String(150))
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city: Mapped[str] = mapped_column(String(100))
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county: Mapped[str] = mapped_column(String(100))
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state: Mapped[str] = mapped_column(String(100))
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postcode: Mapped[str] = mapped_column(String(20))
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country: Mapped[str] = mapped_column(String(100))
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country_code: Mapped[str] = mapped_column(String(10))
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# Display name
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display_name: Mapped[str] = mapped_column(String(300))
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# Bounding Box
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bbox_lat_min: Mapped[float] = mapped_column(Float)
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bbox_lat_max: Mapped[float] = mapped_column(Float)
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bbox_lon_min: Mapped[float] = mapped_column(Float)
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bbox_lon_max: Mapped[float] = mapped_column(Float)
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geom: Mapped[str] = mapped_column(
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Geography("POINT", srid=4326)
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)
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property = relationship(
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"Property",
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back_populates="location",
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uselist=False,
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cascade="all, delete-orphan"
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) |