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Commits
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02e62767a1 |
feat(watchsync): sync watchlists with Trakt/Simkl/MDBList (#227)
* feat(watchsync): sync watchlists with Trakt/Simkl/MDBList Extend the watch-providers feature to sync a user's watchlist, generalizing the existing favorites pipeline rather than duplicating it. What changed - Generalize the favorites sync into one ListKind-parameterized pipeline (internal/watchsync/lists.go) driving both favorites and watchlist; the per-favorites service methods are replaced by kind-generic ones. The shadow table watch_provider_favorite_items becomes watch_provider_list_items with a list_kind discriminator. - Providers: Trakt gains watchlist sync (/sync/watchlist, distinct from favorites); Simkl gains plan-to-watch sync; MDBList is re-mapped from favorites to watchlist (its only list is a watchlist) — its capabilities now report import_favorites=false / import_watchlist=true, and the migration re-binds existing MDBList connections. - Auto-remove watched items from the watchlist: a standalone, default-on profile preference (user_profiles.remove_watched_from_watchlist) removes a movie when watched and a series once every episode is watched. Implemented as watchstate.CompletionObserver (internal/watchlist.Maintainer), wired into the manual mark-watched, playback-stop, and jellycompat mark-played paths. - Optional MDBList sort-order mirroring: an opt-in, capability-gated toggle mirrors MDBList's watchlist order into Silo via user_watchlist.sort_index; ListWatchlist orders by sort_index then added_at, so both /api/v1/watchlist and the catalog watchlist view inherit it. - Real-time + scheduled: local add/remove pushes to connected providers immediately (removals gated by the opt-in removals toggle); the hourly job is the inbound/import + retry/reconcile path. - Web: watch-provider settings gain watchlist import/export/removals and "mirror watchlist order" toggles plus watchlist sync stats. Why - The favorites and watchlist pipelines are ~90% identical; generalizing keeps one code path (per CLAUDE.md's anti-duplication guidance) instead of cloning. API/compat - All new fields on ConnectionStatus/Capabilities/ConnectionUpdate/SyncRun and the web types are additive (Silo v1 additive-only rule). No existing field is renamed, removed, or retyped. Risks / follow-up - MDBList capability flip is intentional and client-visible: silo-android / silo-apple may need to surface MDBList under the watchlist (not favorites) UI. - MDBList existing users: their MDBList list previously mirrored Silo favorites and now mirrors Silo watchlist; the first post-migration sync is a union (removals default off), so nothing is destructively purged. - Order mirroring reflects the order MDBList returns from /watchlist/items (couldn't confirm against their docs — Cloudflare-blocked); if it ever diverges from the UI sort, a sort param is the small follow-up. Tests: new maintainer (auto-remove) and watchlist-order unit tests; provider + service tests updated. go build, go test (affected pkgs), migrate-validate, verify-local-paths, web prettier/eslint/tsc all pass. AI-use disclosure: implemented with Claude Code (Claude Opus 4.8). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(watchsync): update list shadow table references * fix(watchsync): address review — retry/progress + error propagation Addresses CodeRabbit review on #227: - maintainer: propagate transient catalog lookup errors instead of silently treating every items.GetByID failure as "maybe an episode". - exportList: mark every queued item not confirmed sent (not_found, failed, or omitted) so the pending loop always advances; the next run's upsert clears the error and re-attempts, so transient failures still retry. - removePendingListItems + realtime removal: treat Sent and NotFound as reconciled; leave true failures pending (no last_error, which would strand them from the removal query) so the scheduled run retries, using in-memory dedupe to terminate the loop. - exportLocalListItems: send the normalized items (with computed ProviderItemKey), not the original event slice. - UpdateConnection: clear mirrored watchlist order before persisting the disable and propagate failures, so a failed clear can't report "disabled" while sort_index ordering is still active. - web: include favorite + watchlist removal counts in the exported "sent" total. - test: align serviceFakeRepo list-state with Postgres (clear last_error on successful transitions); add maintainer error-propagation test. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |
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QuickandGitHub
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cac435c4b9 |
Fix watch-state unwatch sync across user data and Jellyfin mappings (#179)
* Refine playback session handling and API responses * fix(watchstate): harden completed-history visibility |
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39ba284c9d |
feat(ai): shared AI core — metadata translation, Whisper ASR, per-profile language, on-view translation (#127)
* docs: design + plan for shared AI core, metadata translation, Whisper ASR Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * refactor(ai): shared LLM client, segment translator, and job runner packages internal/ai/llm: OpenAI-compatible chat client moved out of subtitles/ai, plus /v1/audio/transcriptions (verbose_json) for the ASR work; one shared retry/backoff loop for both. internal/ai/translate: the batched indexed-JSON translation protocol generalized to text segments. internal/ai/jobrunner: dispatch/heartbeat/reaper/cancel lifecycle extracted behind a minimal store interface, with a semaphore shareable across job services. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * refactor(subtitles): consume shared AI core LLMTranslator becomes a thin cue<->segment adapter over aitranslate; the service delegates dispatch/heartbeat/reaper/cancel to jobrunner; the local OpenAI client is gone in favor of internal/ai/llm. Behavior (prompts, wire protocol, job rows, recovery semantics) is unchanged. NewService now takes the dispatch semaphore so all AI job services can share one bound. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(config): shared ai.* settings, metadata translation job table, localization provenance columns ai.* connection keys (chat + optional separate ASR endpoint) load with a fallback to the legacy subtitle_ai.* rows — those are never renamed in SQL because encrypted values are GCM-bound to their setting key. New toggles: subtitle_ai.transcribe_enabled, metadata_ai.enabled. Migration adds metadata_translation_jobs, per-field provenance (provider|ai|manual) on the localization tables, and media_folders.auto_translate_metadata. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(catalog): localization field provenance with provider/ai/manual precedence Provider upserts keep manual values and never blank a field with an empty incoming value; new UpsertAITranslation/UpsertAIOverview methods write AI fields only over empty or ai-sourced values (force adds provider, never manual) — all enforced in single-statement SQL. Serving now merges only non-empty localized fields onto the base item, since localization rows are legitimately partial (AI rows carry no titles/artwork). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(metadata): AI translation service, refresh auto-fallback, and admin API internal/metadata/translation: job service over the shared AI core that expands an item to its season/episode overviews, skips already-localized fields (zero model calls on repeat runs), batches paragraphs through the generic translator, and persists per batch with provenance-aware upserts. MetadataService gains an AutoTranslator seam invoked after each refresh for libraries with auto_translate_metadata. Admin endpoints under the metadata curation guard: enqueue, list (poll), cancel; plus a status probe. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(subtitles): Whisper ASR transcribe and transcribe_translate jobs New WhisperTranscriber: one ffmpeg pass extracts the audio track to 10-min 16kHz mono WAV chunks (temp dir cleaned on every exit path), each chunk goes to the OpenAI-compatible /v1/audio/transcriptions endpoint (verbose_json, per-request timeout sized to 3x chunk duration), segment timestamps are offset and built into wrapped cues. Chunks process playhead-first and stream live to the requesting session. The transcript is stored as an ordinary downloaded subtitle (provider 'transcribed'); transcribe_translate chains the existing translator and stores the translated track as the job result. Enqueue accepts an optional kind; status reports transcribe_enabled. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(web): AI services settings, metadata translate action, library auto-translate, generate-from-audio New AI Services admin page hosts the shared endpoint config (reads fall back to legacy subtitle_ai.* values, writes target ai.*) and the three feature toggles; the AI card moves out of Subtitles settings. The metadata editor gains a Translate-with-AI panel with job polling and force/re-translate. The library form gains the auto-translate toggle (threaded through the libraries API). The player translate modal gains a From-audio mode that lists audio tracks and submits transcribe / transcribe_translate jobs. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * style: gofmt import grouping in router and translation tests Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(catalog): per-profile metadata language and viewer-triggered description translation user_profiles.preferred_metadata_language threads through the access scope into catalog serving: presentation language now resolves explicit param -> profile preference -> library metadata language (native API and jellycompat). ItemDetail gains pending_translation_language when the viewer's language is missing a localized overview. New metadata_ai.on_view setting (off|button| auto) gates POST /items/{id}/translate-description: any profile with item access may request its language, with in-flight dedup and a 15-minute failure cooldown so page views never hammer a broken endpoint. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(web): on-view description translation with per-profile metadata language Profile playback settings gain a Metadata language picker (library default inherit). Detail pages: when the server reports pending_translation_language and metadata_ai.on_view is 'auto', the description translates on view with a pulse animation until the refetched detail comes back localized (45s timeout); in 'button' mode a small Translate chip triggers the same flow. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(web): expose metadata_ai.on_view in AI Services settings The on-view translation mode had no UI control, so it could only ever be 'off' — viewers got neither the auto translation nor the fallback button. Adds the off/button/auto selector to the Features card, and the config loader now warns and falls back to 'off' on a bad row instead of refusing to start. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(ai): clear configuration hint when the transcription endpoint is chat-only A blank Transcription base URL falls back to the chat endpoint; chat-only gateways reject the multipart upload with an opaque 400 that reads like a pipeline bug. 400/404/405 transcription failures now carry a hint to set a Whisper-compatible endpoint in AI Services. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(subtitles): wrap ASR cue text by rune count, not bytes Arabic/Cyrillic/Greek text is 2+ bytes per character in UTF-8, so byte-based wrapping broke lines at roughly half the intended visual width. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(web): steer transcription base URL hint away from chat-only gateways Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(ai): block chat-only gateways for transcription, add endpoint presets llm.IsChatOnlyGateway (OpenRouter et al — no timestamped transcription API) is enforced in three layers: the settings API rejects ai.asr_base_url values pointing at one, the router disables ASR with a warning when the blank-URL fallback would land on one, and llm.Transcribe refuses outright. The AI Services page gains one-click transcription presets (Groq turbo/accurate, OpenAI, self-hosted speaches) plus the mirrored client-side check, and the settings API now also validates metadata_ai.on_view. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(subtitles): tighten ASR subtitle sync Three systematic timing-error sources addressed: cue offsets now use the segment muxer's exact per-chunk start times (segment_list CSV) instead of assuming index*chunk_seconds; the audio stream's start delay relative to the container timeline (common in TS remuxes) is probed via ffprobe and added to every cue; and the chunk length is now operator-tunable via subtitle_ai.asr_chunk_seconds (60-600s, default 600) since shorter chunks bound Whisper's within-chunk timestamp drift. Playhead-first ordering now pivots on real chunk starts, and a beyond-end playhead starts at the final chunk instead of restarting from zero. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(ai): tolerate base URLs that already include the /v1 segment Providers like DeepInfra expose their OpenAI-compatible API under a base that contains the version segment (api.deepinfra.com/v1/openai); always appending /v1/... mangled those. endpointURL now appends bare paths when the base already carries /v1. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(web): prefer self-hosted transcription in presets and hints Preset order becomes self-hosted (recommended) -> Groq turbo -> Groq large-v3 -> OpenAI, and the settings hint plus the job-error hint lead with the self-hosted option. The self-hosted preset now fills the turbo CT2 model to match the recommended speaches setup. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(subtitles): request VAD and word timestamps for ASR cue accuracy Without vad_filter, faster-whisper servers report wall-to-wall segment times: cues linger on screen through silence (verified up to 91s) and paragraph-length segments become single 400+ char cues. Request vad_filter=true (skipped for hosted providers that reject non-OpenAI fields and run VAD server-side) plus timestamp_granularities word+segment, and rebuild cues from word timings: split at speech pauses, sentence ends, text capacity, and a 7s max duration; cap word-less segments instead of trusting their reported end; stretch sub-second cues to a readable minimum. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com> |
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Silo Server Migration
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c085b12fd1 | Initial Silo migration |