1eea237c08
- Discovery modes: Sonic Twin, Era Bridge, Deep Cuts, Rising Artists - Discovery dial (Safe to Adventurous slider) - Block genres/moods exclusion - Thumbs down/dislike on recommendations - My Taste page with Genre DNA breakdown, audio feature meters, listening personality - Updated pricing: Free (5/week), Premium ($6.99/mo), Family ($12.99/mo coming soon) - Weekly rate limiting instead of daily - Alembic migration for new fields
41 lines
1.7 KiB
Python
41 lines
1.7 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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bandcamp_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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disliked: Mapped[bool] = mapped_column(Boolean, default=False, server_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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