Audyt duplikatow po phashu miniatur wykazal dwa rozne zjawiska, ktore wygladaly
jak jedno.
1. Zdegenerowane phashe. 73 wartosci wystepowaly przy >=10 scenach kazda, lacznie
przy 4375 scenach; rekordzistka byla dzielona przez 892 sceny o 892 roznych
tytulach i 1886 roznych performerach. To zaslepki i czarne klatki, nie odciski
scen. find_by_phash_within bierze najblizsza wartosc z calej tabeli, wiec taka
zaslepka zawsze wygrywala z prawdziwym duplikatem (dist 0). Do tej pory bronila
nas bramka dur_prox i nic sie nie skleilo, ale to zabezpieczenie drugiej linii.
Blacklista jest tabela, nie jednorazowym DELETE, bo sam DELETE nic nie daje:
zaslepka wraca przy kolejnym ingescie. Trzeba pamietac, ze wartosc jest
bezuzyteczna. Job co 24h dopisuje nowe i czysci odciski. Po czyszczeniu zero
grup >=10, najwieksza pozostala ma 9.
2. Realne duplikaty. 4647 scalonych. Przyczyna byla jedna: 97 procent par ma
perverzije po dokladnie jednej stronie, bo pisze tytuly z prefiksem studia i
performera, a reszta tubow daje goly tytul. Wbrew mojej pierwszej diagnozie NIE
trzeba tu ruszac scoringu tytulu (token_set_ratio i tak radzi sobie z prefiksem,
a sciezka phash idzie przed composite): 80 procent par to dlug sprzed 60+ dni, a
biezacy wyciek to okolo 1 dziennie. Nadmiarowe wiersze: 18452 na 9449.
merge_phash_exact_dupes.py dostal wykluczenie blacklisty. Bez tego byl grozny:
sam klaster 892 scen dawal ~397 tys. par do rozwazenia.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Rates each source on three axes the user asked for:
- freshness: how recently/often new content arrives (newest age + 7d volume)
- richness: metadata coverage (thumbnail/tags/performers/description/studio/duration)
- plays: does it actually play — from real playback telemetry when available,
else a proxy from the resolve mechanism. 0★ = offline (gates the overall stars,
so a fresh+rich source that doesn't play still ranks bottom — the hqfap/4k69 case)
Backend:
- playback_events: fire-and-forget telemetry POST from the app per playback attempt
(origin + success/error + time-to-first-frame), append-only, 30d retention
- source_stats: per-origin computed scores, refreshed by a scheduler job (6h);
/sources joins it and sorts by stars
- models + local migration 0025; new GOON_SCHED_SOURCE_STATS_HOURS setting
Mobile:
- Sites rows show ★ rating; tap the stars for a breakdown (axes + metadata %, plus
whether "plays" is measured or estimated)
- PlayerScreen reports playback success/failure per source (native path only —
symmetric, conservative); origin threaded through Scene/Movie play callsites
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
User-report (mobilism): scenes are often poorly titled, so saved keyword queries are a useful extra retrieval strategy. New saved_searches table (device-scoped via X-Device-Id, unique per device+query, 50/device cap) + GET/POST/DELETE /saved-searches. Migration 0024. Verified CRUD on prod: add trims+dedups idempotently, empty rejected 422, delete idempotent.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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.
