Set up PostgreSQL database layer with async SQLAlchemy 2.0 and asyncpg driver. Implements 6 core tables (games, routes, pokemon, route_encounters, nuzlocke_runs, encounters) with foreign keys, indexes, and an initial Alembic migration. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
from datetime import datetime
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from sqlalchemy import DateTime, ForeignKey, String, func
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.core.database import Base
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class NuzlockeRun(Base):
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__tablename__ = "nuzlocke_runs"
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id: Mapped[int] = mapped_column(primary_key=True)
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game_id: Mapped[int] = mapped_column(ForeignKey("games.id"), index=True)
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name: Mapped[str] = mapped_column(String(100))
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status: Mapped[str] = mapped_column(String(20), index=True) # active, completed, failed
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rules: Mapped[dict] = mapped_column(JSONB, default=dict)
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started_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now()
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)
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completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True))
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game: Mapped["Game"] = relationship(back_populates="runs")
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encounters: Mapped[list["Encounter"]] = relationship(back_populates="run")
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def __repr__(self) -> str:
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return f"<NuzlockeRun(id={self.id}, name='{self.name}', status='{self.status}')>"
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