240032d972
- Bandcamp: match artist+song, fall back to artist-only page - YouTube fallback: if not on Bandcamp, link to YouTube music video search - Fix My Playlist: AI analyzes playlist, finds outliers, suggests replacements - User chooses recommendation count (5, 10, 15, 20)
48 lines
1.3 KiB
Python
48 lines
1.3 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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count: int = 5 # Number of recommendations (5, 10, 15, 20)
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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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youtube_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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