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
46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
from datetime import datetime
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from pydantic import BaseModel
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class RecommendationRequest(BaseModel):
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playlist_id: int | None = None
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query: str | None = None # Manual search/request
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bandcamp_mode: bool = False # Prioritize Bandcamp/indie artists
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mode: str = "discover" # discover, sonic_twin, era_bridge, deep_cuts, rising
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adventurousness: int = 3 # 1-5
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exclude: str | None = None # comma-separated genres to exclude
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class RecommendationItem(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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bandcamp_url: str | None = None
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reason: str
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score: float | None = None
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saved: bool = False
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disliked: bool = False
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created_at: datetime
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model_config = {"from_attributes": True}
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class RecommendationResponse(BaseModel):
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recommendations: list[RecommendationItem]
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remaining_this_week: int | None = None # None = unlimited (pro)
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class TasteProfile(BaseModel):
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top_genres: list[dict]
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avg_energy: float
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avg_danceability: float
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avg_valence: float
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avg_tempo: float
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era_preferences: list[str]
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mood_summary: str
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