ad0284585b
Goon — self-hosted aggregator for adult-content scene metadata. Indexes scenes from TPDB, StashDB, and 30+ public adult tube sites. Cross-source deduplication via perceptual hash + Levenshtein distance. FastAPI backend + APScheduler worker + React Native (Expo) mobile client. FOSS, ad-free, donation-funded. See README for details.
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
"""RawMovie → NormalizedMovie. Reuse normalize_studio/performer/tag z scenes.py."""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from datetime import date
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from app.connectors.base import RawMovie, RawMovieChapter, RawPlaybackSource
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from app.normalize.scenes import (
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NormalizedPerformer,
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NormalizedStudio,
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NormalizedTag,
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normalize_performer,
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normalize_studio,
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normalize_tag,
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)
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from app.normalize.text import normalize, slugify
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@dataclass
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class NormalizedMovie:
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external_id: str
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title: str
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title_normalized: str
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slug: str
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release_year: int | None
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release_date: date | None
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description: str | None
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duration_sec: int | None
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director: str | None
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country: str | None
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rating: float | None
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poster_url: str | None
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backdrop_url: str | None
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url: str | None
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studio: NormalizedStudio | None = None
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performers: list[NormalizedPerformer] = field(default_factory=list)
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tags: list[NormalizedTag] = field(default_factory=list)
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chapters: list[RawMovieChapter] = field(default_factory=list)
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playback_sources: list[RawPlaybackSource] = field(default_factory=list)
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cross_source_refs: dict[str, str] = field(default_factory=dict)
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def normalize_movie(raw: RawMovie) -> NormalizedMovie:
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return NormalizedMovie(
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external_id=raw.external_id,
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title=raw.title,
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title_normalized=normalize(raw.title),
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slug=slugify(raw.title),
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release_year=raw.release_year,
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release_date=raw.release_date,
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description=raw.description,
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duration_sec=raw.duration_sec,
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director=raw.director,
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country=raw.country,
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rating=raw.rating,
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poster_url=raw.poster_url,
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backdrop_url=raw.backdrop_url,
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url=raw.url,
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studio=normalize_studio(raw.studio) if raw.studio else None,
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performers=[normalize_performer(p) for p in raw.performers],
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tags=[normalize_tag(t) for t in raw.tags],
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chapters=list(raw.chapters),
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playback_sources=list(raw.playback_sources),
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cross_source_refs=dict(raw.cross_source_refs),
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)
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