ca28c93daf
Gorky Park (6), Red Square area (10), and Moscow-City (6) landmarks with real historical/architectural facts, each with short/medium/long narration text in Russian and English. Widened built_year to varchar(128) since several entries need more than a bare year (e.g. demolition/reconstruction ranges). Verified end-to-end against the live backend: all 22 places load via seed_loader, nearby search returns correctly distance-sorted results with radius expansion in sparser areas (confirmed at Gorky Park, 900m), and place detail/search-fallback endpoints return full bilingual content. Full pytest suite passes. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
38 lines
1.7 KiB
Python
38 lines
1.7 KiB
Python
from datetime import datetime
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from geoalchemy2 import Geography
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from sqlalchemy import Boolean, DateTime, Enum, ForeignKey, String, Text, func
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.db.base import Base
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from app.models.enums import PlaceCategory
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class Place(Base):
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__tablename__ = "places"
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id: Mapped[int] = mapped_column(primary_key=True)
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city_id: Mapped[int] = mapped_column(ForeignKey("cities.id", ondelete="CASCADE"), nullable=False)
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slug: Mapped[str] = mapped_column(String(128), unique=True, nullable=False)
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category: Mapped[PlaceCategory] = mapped_column(
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Enum(PlaceCategory, name="place_category", native_enum=True), nullable=False
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)
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location = mapped_column(
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Geography(geometry_type="POINT", srid=4326, spatial_index=False), nullable=False
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)
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address: Mapped[str | None] = mapped_column(String(256))
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district: Mapped[str | None] = mapped_column(String(128))
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built_year: Mapped[str | None] = mapped_column(String(128))
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architect_builder: Mapped[str | None] = mapped_column(String(256))
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architectural_style: Mapped[str | None] = mapped_column(String(128))
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notable_people: Mapped[str | None] = mapped_column(Text)
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is_active: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
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)
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city: Mapped["City"] = relationship(back_populates="places")
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contents: Mapped[list["PlaceContent"]] = relationship(
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back_populates="place", cascade="all, delete-orphan"
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)
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