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
29 lines
1.2 KiB
Python
29 lines
1.2 KiB
Python
from datetime import datetime, timezone
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from sqlalchemy import String, Integer, DateTime, ForeignKey, JSON, Text
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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 Playlist(Base):
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__tablename__ = "playlists"
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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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name: Mapped[str] = mapped_column(String(500))
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platform_source: Mapped[str] = mapped_column(String(50)) # spotify, manual, etc.
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external_id: Mapped[str | None] = mapped_column(String(255), nullable=True)
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track_count: Mapped[int] = mapped_column(Integer, default=0)
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taste_profile: Mapped[dict | None] = mapped_column(JSON, nullable=True)
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imported_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="playlists")
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tracks: Mapped[list["Track"]] = relationship(back_populates="playlist", cascade="all, delete-orphan")
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from app.models.user import User # noqa: E402, F811
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from app.models.track import Track # noqa: E402
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