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Commits
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a5fb16a5c5 |
feat(historyimport): import the Plex account watchlist alongside watch history (#285)
* feat(historyimport): import the Plex account watchlist alongside watch history The Plex import migrated only watch history; the user's saved watchlist had to be rebuilt by hand (#245). - PlexClient gains FetchWatchlist: pages the account-level watchlist on the Plex discover API (discover.provider.plex.tv). It authenticates with the plex.tv ACCOUNT token — the PIN/OAuth session token, which resolvePlexAuth now threads through plexAuth.AccountToken (manual-token imports pass the user token, which doubles as the account token). - Watchlist entries become import Records flagged Watchlisted, carrying identity only (movie/show → KindMovie/KindSeries, guids parsed) and no watch state. They ride the existing matcher (series matching already exists), and matched entries are added to the importing profile's watchlist via the idempotent AddToWatchlistAt — re-imports do not duplicate. A watchlist fetch failure downgrades to a run warning so the history import still completes. - Run summaries gain a watchlist_added counter (new column + repo plumbing + client/admin UI cards). Fixes #245 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(historyimport): count only newly inserted watchlist rows in WatchlistAdded AddToWatchlistAt now reports whether a row was actually inserted (the insert is ON CONFLICT DO NOTHING / INSERT OR IGNORE), and the import summary increments WatchlistAdded only for genuine inserts, so re-importing the same Plex account no longer inflates the count. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com> Co-authored-by: Quick <31828688+Quick104@users.noreply.github.com> |
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012006e7a7 |
test(access): add ListProgressSince to stubStore so tests compile (#277)
PR #258 added ListProgressSince to the userstore.UserStore interface but did not update the access resolver test stub, breaking test compilation for internal/access on main. Co-authored-by: Claude Fable 5 <noreply@anthropic.com> |
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CoffeeKnyteandGitHub
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652b5d1e9f |
perf(jellycompat): fast-paths for slow Jellyfin-compat queries (#247)
* perf(jellycompat): fast-paths for slow Jellyfin-compat queries
Rebuilds the jellycompat slow-query fast-paths cleanly on main, without
the hub-sections virtual-library feature (which is intentionally absent
on this branch). Each path is bounded so behavior stays predictable
under load.
Fast-paths:
- Episode catalog: add the load-bearing `si.type = 'series'` hydration
guard plus a matching entry-scan series-parent guard, so the page and
count scans stay aligned with hydration (no under-filled pages, no
inflated TotalRecordCount from podcast/audiobook episode rows).
- /Shows/{id}/Episodes AdjacentTo: serve a bounded prev/self/next
neighbor window with series-membership validation and a cross-series
id guard, falling back to the full listing.
- Resume: serve Continue Watching through the capped native
continue-watching fetcher (next-up suppressed, in-progress only)
instead of loadProgressPage's unbounded scan. Wires only the
sections read-time fetcher (StoreProvider) into ItemsHandler; no
hub-section/virtual-library exposure.
- Played-history: push the type + library filter down into SQL.
- recently_added: fan a no-parentId browse out across libraries with an
app-side dedup merge, clamped to BrowseFilters.MaxLimit, and exclude
compat-hidden (audiobook/podcast) libraries from the fan-out.
- Detail fields: batch per-item GetItemDetail in the Latest/browse
detail-field paths via GetItemDetailsByIDs, with per-item fallback.
- Search: term-length and result-count guards for aux search.
* perf(jellycompat): clamp Resume fast-path fetch to maxResumeItems
A large client-supplied StartIndex on /UserItems/Resume inflated
loadResumeViaSections' fetchLimit (pageSize + StartIndex) and fed it
straight into ResolvedSection.ItemLimit, letting the continue-watching
fetcher scan up to its continueProgressMaxScanned hard cap (1000 rows)
instead of stopping near maxResumeItems. Clamp fetchLimit to
maxResumeItems and short-circuit to an empty page when StartIndex is at
or beyond the cap (no visible row can land there), keeping the capped
fetcher's scan bounded and predictable under load.
Addresses CodeRabbit review finding on PR #247.
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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 |