kbondelie
3d5de06b44
AI-powered web app that recommends unwatched movies from a Jellyfin library based on natural language mood input. Jellyfin auth, modular LLM backend (Claude/OpenAI/Ollama), two-tier pre-filter + AI ranking, mobile-responsive dark theme UI with poster cards and deep links. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
52 lines
1.1 KiB
Python
52 lines
1.1 KiB
Python
from pydantic import BaseModel
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class Movie(BaseModel):
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jellyfin_id: str
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title: str
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sort_title: str | None = None
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year: int | None = None
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genres: list[str] = []
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overview: str | None = None
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community_rating: float | None = None
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critic_rating: float | None = None
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runtime_minutes: int | None = None
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content_rating: str | None = None
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studios: list[str] = []
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people: list[dict] = []
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tags: list[str] = []
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class MoodRequest(BaseModel):
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mood: str
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additional_user_ids: list[str] = []
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class Recommendation(BaseModel):
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jellyfin_id: str
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title: str
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year: int | None = None
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genres: list[str] = []
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community_rating: float | None = None
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runtime_minutes: int | None = None
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content_rating: str | None = None
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poster_url: str
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deep_link: str
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reasoning: str
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match_score: float
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class MoodResponse(BaseModel):
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recommendations: list[Recommendation]
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meta: dict
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class LoginRequest(BaseModel):
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username: str
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password: str
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class UserInfo(BaseModel):
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id: str
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name: str
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