155cbd1bbf
Backend (FastAPI): - User auth with email/password and Spotify OAuth - Spotify playlist import with audio feature extraction - AI recommendation engine using Claude API with taste profiling - Save/bookmark recommendations - Rate limiting for free tier (10 recs/day, 1 playlist) - PostgreSQL models with Alembic migrations - Redis-ready configuration Frontend (React 19 + TypeScript + Vite + Tailwind): - Landing page, auth flows (email + Spotify OAuth) - Dashboard with stats and quick discover - Playlist management and import from Spotify - Discover page with custom query support - Recommendation cards with explanations and save toggle - Taste profile visualization - Responsive layout with mobile navigation - PWA-ready configuration Infrastructure: - Docker Compose with PostgreSQL, Redis, backend, frontend - Environment-based configuration
39 lines
1.5 KiB
Python
39 lines
1.5 KiB
Python
from datetime import datetime, timezone
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from sqlalchemy import String, Integer, Float, DateTime, ForeignKey, Text, Boolean
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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 Recommendation(Base):
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__tablename__ = "recommendations"
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id: Mapped[int] = mapped_column(primary_key=True)
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user_id: Mapped[int] = mapped_column(ForeignKey("users.id", ondelete="CASCADE"), index=True)
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playlist_id: Mapped[int | None] = mapped_column(ForeignKey("playlists.id", ondelete="SET NULL"), nullable=True)
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# Recommended track info
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title: Mapped[str] = mapped_column(String(500))
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artist: Mapped[str] = mapped_column(String(500))
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album: Mapped[str | None] = mapped_column(String(500), nullable=True)
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spotify_id: Mapped[str | None] = mapped_column(String(255), nullable=True)
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preview_url: Mapped[str | None] = mapped_column(String(500), nullable=True)
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image_url: Mapped[str | None] = mapped_column(String(500), nullable=True)
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# AI explanation
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reason: Mapped[str] = mapped_column(Text)
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score: Mapped[float | None] = mapped_column(Float, nullable=True)
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query: Mapped[str | None] = mapped_column(Text, nullable=True)
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# User interaction
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saved: Mapped[bool] = mapped_column(Boolean, default=False)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
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)
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user: Mapped["User"] = relationship(back_populates="recommendations")
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from app.models.user import User # noqa: E402, F811
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