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
47 lines
969 B
Python
47 lines
969 B
Python
from datetime import datetime
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from pydantic import BaseModel
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class TrackResponse(BaseModel):
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id: int
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title: str
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artist: str
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album: str | None = None
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spotify_id: str | None = None
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preview_url: str | None = None
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image_url: str | None = None
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tempo: float | None = None
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energy: float | None = None
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danceability: float | None = None
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valence: float | None = None
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genres: list | None = None
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model_config = {"from_attributes": True}
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class PlaylistResponse(BaseModel):
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id: int
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name: str
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platform_source: str
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track_count: int
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taste_profile: dict | None = None
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imported_at: datetime
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model_config = {"from_attributes": True}
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class PlaylistDetailResponse(PlaylistResponse):
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tracks: list[TrackResponse] = []
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class SpotifyPlaylistItem(BaseModel):
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id: str
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name: str
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track_count: int
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image_url: str | None = None
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class ImportSpotifyRequest(BaseModel):
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playlist_id: str
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