Commit Graph
12 Commits
Author SHA1 Message Date
5afe56cfc0 feat(jellycompat): add runtime-managed Jellyfin Web compatibility (#77)
* feat(jellycompat): install web assets at runtime

* fix(jellycompat): recover stale web operation locks

* fix(jellycompat): harden web component management

* feat(admin): refine compat settings and restart status

* chore(dev): add hot-reload docker compose stack

* fix(dev): include npm in hot-reload backend

* feat(admin): refine Jellyfin compatibility settings

* feat(settings): improve jellyfin proxy summary

* feat(settings): improve jellyfin web controls

* fix(settings): update jellyfin web removal status

* fix(settings): enable jellyfin web after install

* feat(jellycompat): auto-select web ui version

* test(api): update rate limit handler setup

* feat(jellycompat): refine web ui install onboarding

* fix(jellycompat): address web ui install review issues

* fix(onboarding): mirror jellyfin api runtime status

* fix(admin): remove global restart banner

* fix(settings): gate restart required tracking

* fix(jellyfin): ignore live settings for restart status

* fix(jellyfin): avoid restart for live compat settings

* fix(subtitles): normalize AI language codes

* fix(catalog): support partial title search tokens

* feat(branding): add white-label customization

* Add push relay engineering plan

- Document relay API contracts, APNs/FCM behavior, auth, storage, and ops
- Capture implementation plan, provider references, decisions, and README

---------

Co-authored-by: Quick <31828688+Quick104@users.noreply.github.com>
2026-06-15 09:34:08 -04:00
a17529fd6f feat(config): live admin settings + truthful restart-required banner (#128)
* feat(nodeconfig): harden config watcher for integrated-mode use

- RequestReload(): non-blocking, coalescing reload nudge that runs on the
  poll goroutine, so concurrent requests can never swap a stale snapshot
  over a newer one (unlike ForceReload from request handlers)
- Skip OnChange callbacks when the reloaded config is deep-equal to the
  previous one, so the 60s poll doesn't fire rebuild/log callbacks on
  no-op reloads
- Add RedisURL to BootstrapOverrides; previously a reload clobbered an
  env-provided Redis URL in the live config
- Split reload into fetchSettings/applySettings and add unit tests

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(config): hot-reload config watcher in integrated mode

Start nodeconfig.Watcher in integrated/api mode (previously only proxy/
transcode worker modes hot-reloaded). Expose the live config to the API
and jellycompat routers via func-typed LiveConfig/OnConfigChange fields
with nil fallbacks to the startup snapshot, and wire the admin settings
update hook to RequestReload so same-process changes apply immediately
even without Redis.

No consumer reads the live config yet — conversions land separately.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(admin): truthful restart-required banner for settings saves

The settings UI showed 'restart required' after every save regardless of
the key. The backend now classifies each key via a central registry
(internal/config/restart_keys.go) and PUT /admin/settings/{key} reports
restart_required per key; useSettingsForm only raises the banner when a
saved key actually needs a restart (and keeps it raised until restart).

The registry is conservative: every currently startup-frozen key is
marked restart-required; subsequent hot-reload conversions shrink it.
Settings read live from the settings repo (branding, overlays, markers,
download.*, ...) default to no-restart. DownloadSettings/OverlaySettings
drop their hardcoded restartRequired={false} special-casing.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(logging): hot-reload server.log_level and server.log_quiet

Share one slog.LevelVar across the handler chain and make
logfilter.Handler's quiet-prefix list an atomic pointer shared with
WithAttrs/WithGroup clones (New previously returned the inner handler
unwrapped when the quiet list was empty, leaving nothing to update).
The integrated-mode config watcher now applies both settings live;
their keys leave the restart-required registry.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(auth): hot-reload access/refresh token expiries

JWTService stores expiries as atomics with a SetExpiries hook; all three
instances (main API, ABS compat, jellycompat) re-apply them on config
reload. Applies to newly issued tokens; outstanding tokens keep their
original expiry. The JWT secret stays fixed for the process lifetime.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(playback): read transcode config live at session start

The playback and stream handlers pull ffmpeg path / hwaccel / transcode
dir from the live config when starting a transcode or extracting
subtitles, instead of values frozen at router construction. Each session
snapshots the config once so its output dir and binary stay consistent.

Also fixes a real bug: playback.hw_device was parsed into the config but
never wired into the integrated-mode handler, so local transcodes always
ran with an empty HWDevice while transcode nodes honored it.

playback.transcode_dir leaves the restart-required registry (the handler
is its only consumer); ffmpeg_path/hw_accel stay restart-required until
scanner/chapterthumbs/audiobook consumers convert.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(jellycompat): read compat identity settings live per request

System/Auth handlers take a config provider instead of the startup
snapshot, so jellyfin_compat.public_url, .server_name, and
.emulated_server_version apply without restart. server_id stays
restart-required (generate-once, baked into the resource mapper), as do
the session-store TTLs.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(scanner,metadata,mdblist): hot-reload worker pools and API key

scanner.workers, matcher.workers/batch_size, metadata.cache_images, and
mdblist.api_key convert to atomic fields with setters wired to the
config watcher. Worker counts apply on the next scan/match cycle (the
loops read them per cycle); the MDBList key applies to the next request.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(ai): hot-reload AI connection, models, toggles, and quotas

The shared llm.Client holds its config behind an atomic pointer
(UpdateConfig; each request snapshots once), and the subtitle/metadata
AI services gain UpdateConfig plus setters on the translator (batching)
and Whisper transcriber (ffmpeg path, chunk seconds). The router derives
their configs from shared helpers used both at construction and in
OnConfigChange callbacks, re-evaluating the chat-only-gateway transcribe
guard on each reload and warning only when it newly fires.

Everything on the AI Services page now applies without restart except
ai.max_concurrent_jobs (fixed-capacity dispatch semaphore).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* fix(playback): wire transcode_enabled; remove dead playback/scanner knobs

playback.transcode_enabled was parsed into the config but the resolver
always received a hardcoded true — the admin toggle did nothing. It now
reads the live config per playback start, so disabling transcodes
applies without restart.

Remove settings that were wired to nothing so 'save + restart' stops
pretending: playback.allow_hevc_encoding (resolver field never
assigned), playback.transcode_ahead_segments and
playback.segment_duration (parsed, never consumed — segment duration is
per-session from the client), scanner.file_removal_grace (DeleteMissing
is never called). UI fields removed and the config struct fields pruned
so they don't resurrect; YAML import still tolerates the legacy keys.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-06-10 19:25:07 -04:00
QuickandClaude Fable 5 ed4cebf3ba feat(ai): per-user transcription quota for subtitle ASR jobs
Cap how many Whisper transcription jobs each user account can start per
rolling window (day/week/month), configurable from admin settings. The
player modal shows remaining usage and the server returns 429 with
details when the limit is hit.

Enforcement is atomic with the job insert (per-user advisory lock, same
pattern as media-request quotas), so concurrent requests cannot race
past the limit. Failed/cancelled jobs that never produced transcription
work are refunded. Exemption applies to the admin account's primary
profile only; other profiles on an admin account stay subject to the
quota. A partial index covers the quota count, a malformed quota
setting row degrades to "no quota" instead of blocking startup, and the
period vocabulary and admin-role predicate are each defined once
(ai.ValidQuotaPeriod, apimw.IsAdmin).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-10 16:02:42 -04:00
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>
2026-06-10 14:58:54 -04:00
9e29e7b330 feat(security): encrypt server-owned credentials at rest (#45) (#95)
* feat(security): encrypt server-owned credentials at rest

Introduce AES-256-GCM at-rest encryption (HKDF-derived from a required
SECRET_KEY) for server-owned credentials, with row-bound AAD, a versioned
enc:v1: envelope, and an idempotent startup backfill.

- internal/secret: cipher + RowAAD/SettingsAAD + the startup backfill engine.
- SECRET_KEY required at bootstrap; cipher threaded as an explicit dependency.
- server_settings: EncryptedSettingsRepo decorator over the audited
  SensitiveSettingKeys (also drives admin redaction); the config watcher and
  watch-sync settings reads decrypt too.
- Arr keys inline-encrypted; the ambiguous SecretResolver indirection removed
  from requests/autoscan.
- Per-table columns encrypted: subtitles, watch-sync, webhook-sync (not
  webhook_secret), history-import, and the jellycompat session's bridged Silo
  access/refresh tokens.
- Startup backfill (resolve-then-encrypt for arr refs) is best-effort and
  primary-node gated.

Equality-looked-up secrets and plugin_runtime_configs.config_value are out of
scope (need hashing / cross-repo design) — see
docs/architecture/secret-encryption.md.

Refs #45

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* chore(compose): require SECRET_KEY in docker-compose

The server now fatals without SECRET_KEY, so the integrated service (and the
commented distributed proxy/transcode examples) pass it through with a
fail-fast guard matching the existing MEDIA_ROOT pattern. Distributed worker
nodes must use the SAME key as the primary to decrypt shared data.
Generate with: openssl rand -base64 48.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(security): encrypt history import session credentials

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-08 15:25:48 -04:00
0163df3683 [codex] Add IntroDB marker integration and dialogue-aware Chromaprint refinement (#57)
* docs(markers): design + implementation plans for multi-source markers & TheIntroDB contribution

* fix(markers): TheIntroDB read-path correctness (TVDB, real confidence, best candidate)

Honor TVDB ids in /media lookups (previously dropped — anime/TheTVDB-first
libraries got no markers), decode and use the real per-segment confidence and
submission_count instead of a hardcoded 0.9, and pick the most-submitted /
highest-confidence candidate when several are returned. Adds httptest coverage
for the introdb client and provider.

Phase 1 of docs/superpowers/plans/2026-06-06-marker-sources-and-contribution-implementation.md

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* feat(markers): multi-source dispatch, per-provider config, per-segment provenance

Add marker_provider_config (per-provider fetch enable/priority + contribute
gates, contribution off by default) and a cached ProviderConfigStore. Add
Registry.FetchMerged: query all fetch-enabled providers concurrently and keep
the best candidate per segment (submission_count, then confidence, then fetch
priority), stamping each winning marker with its provider/algorithm. Thread
per-segment provenance through MarkerUpdatePayload and scanner.MarkerUpdate
(additive SegmentProvenance overrides) so a merged result writes correct
per-segment provider/confidence/algorithm; the legacy shared columns keep a
summary. The lazy-playback path now uses FetchMerged. With only TheIntroDB
enabled, behavior is unchanged.

Phase 2 of docs/superpowers/plans/2026-06-06-marker-sources-and-contribution-implementation.md

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* feat(markers): TheIntroDB submission client, contribution audit, service engine

Add a markers.Submitter capability and implement it on the introdb provider
(POST /v3/submit, GET /v3/user/stats; key required, usage-limit aware, applies
the null start/end conventions). Add the marker_contributions audit table and a
value-hash-keyed ContributionStore for idempotency. Add ContributionService:
resolves enabled submitter providers, gates eligibility (never re-submit
online-sourced markers; auto runs require contribute_auto_local + scanner-intro
above the per-provider confidence threshold), checks idempotency, submits, and
records. Wired in main.go; no trigger yet (admin API and task follow).

Phase 3 of docs/superpowers/plans/2026-06-06-marker-sources-and-contribution-implementation.md

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* feat(api): admin marker editing, contribution, and provider config endpoints

Add the RequireAdmin marker API: GET/PUT /admin/files/{id}/markers (read with
provenance; manual upsert where a segment object sets and null clears),
DELETE .../markers/{segment}, POST .../contribute and GET .../contributions,
plus GET/PUT /admin/markers/providers[/{provider}] and a
.../validate key-check returning user stats. Manual writes go through the
priority-gated UpsertMarkers (source=manual) and notify live sessions; a new
FileRepository.ClearMarkers nulls a segment's columns. Validation mirrors the
contribution rules.

Phase 4 of docs/superpowers/plans/2026-06-06-marker-sources-and-contribution-implementation.md

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* feat(markers): daily auto-contribution task for local intro markers

Add ContributeMarkersTask (daily 04:00, after local detection): when a provider
has contribute_enabled + contribute_auto_local, page through episode files with
a scanner intro marker at/above the provider's confidence threshold (new
ContributionStore.CandidateLocalIntroFiles keyset query) and run them through
ContributionService with Auto=true. No-op when no provider opts in; idempotent
and resumable across runs.

Phase 5 of docs/superpowers/plans/2026-06-06-marker-sources-and-contribution-implementation.md

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(intromarkers): refine chromaprint starts with dialogue cues

* feat(markers): finish marker management backend

* feat(web): add marker editing UI

* feat(markers): use plugin marker providers

* fix(markers): address PR review feedback

* feat(player): show marker labels on seek hover

* fix(markers): type nullable marker mutation params

* feat(markers): audit marker edits and add permission

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-06 22:29:26 -04:00
QuickandClaude Opus 4.8 0b5f815c7b fix(subtitles): address CodeRabbit review feedback
Backend:
- client.go: handle the io.ReadAll error on the chat response (retry rather
  than misparse a truncated read), and stop logging raw upstream response
  bodies (log byte count instead of subtitle/model text).
- srt.go: reject negative/reversed cue time ranges in parseTimingLine.
- translator.go: fail fast on a nil client, non-positive batch size, or empty
  target language instead of panicking / looping.

Frontend:
- VideoPlayer: clear the pending translation resume timer when the file
  changes, so a stale 30s callback can't fire against the new media.
- useSubtitleTracks: dedup cues on source times, not delay-shifted display
  times, so adjusting subtitle delay can't re-add the same cue.
- SubtitleMenu: only show "Translate with AI" when a translatable (non-live,
  text/non-bitmap) source exists, matching the modal's filter.
- IntegrationsSettings: validate AI settings before saving (non-empty
  endpoint/model when enabled, positive concurrency) instead of persisting an
  unusable config.
- realtime-protocol: validate optional label/message fields are strings; add
  parser tests for the subtitle_translation_* events.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-30 00:29:28 -04:00
QuickandClaude Opus 4.8 4f2e94c8c5 fix(subtitles): guard AI job state transitions against terminal rows
UpdateProgress/CompleteJob/FailJob now only update a job that is still
pending/running, so a job cancelled or reaped as stale can't be resurrected
by a late write from its own worker goroutine. Defense-in-depth alongside the
queued-job heartbeat fix.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-30 00:23:16 -04:00
QuickandClaude Opus 4.8 669050d025 fix(subtitles): address review feedback on AI translation
- Heartbeat queued jobs (before the semaphore), not just running ones, so
  the stale-job reaper can't fail a job that is alive but waiting for a slot
  (which would otherwise let it resurrect itself on acquire, or admit a
  duplicate once the partial unique index no longer sees it as active).
- Filter the translate modal's source list to the formats the server accepts
  (text external/downloaded, non-bitmap embedded), so an unsupported source
  is prevented up front instead of failing the job asynchronously.
- Tell a duplicate requester (e.g. a second viewer, or after a reload) that a
  translation is already in progress instead of silently closing; the
  finished track still arrives via the subtitle_ready refresh.
- Note in the admin card that AI subtitle settings take effect after a
  restart (the running service snapshots them at construction).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-30 00:19:02 -04:00
QuickandClaude Opus 4.8 e441d2d6e9 feat(subtitles): on-demand AI subtitle translation with live streaming
Add server-side AI subtitle translation backed by any OpenAI-compatible
chat endpoint (OpenAI, Groq, a local Ollama/llama.cpp server). A viewer
picks a source track and target language in the player; the server runs a
bounded, resumable job pipeline that translates SRT/VTT cues in batches and
streams them back over the realtime websocket so playback pauses, fills in
cues near the playhead, and resumes. The finished track is persisted as an
ordinary downloaded subtitle, so it reaches every client through the
existing subtitle pipeline with no client changes.

- Job lifecycle persisted in subtitle_ai_jobs (migration 168): enqueue with
  idempotency, bounded concurrency, progress/heartbeat, cancellation, and
  crash recovery.
- New realtime events (subtitle_ready + subtitle_translation_*) with a
  per-session notifier; the player renders a synthetic "live" track fed by
  websocket cues. Timestamps never leave the server, so timing can't drift.
- Admin settings card for endpoint / model / concurrency.

Player + lifecycle hardening (from the code review of this feature):
- Hand off from the live track to the persisted track on completion
  (selected by downloaded-subtitle id) and on the subtitle_ready broadcast,
  so the saved track survives a reload and a mid-stream socket drop.
- Never persist the synthetic live-track sentinel index as a subtitle
  preference; restore the prior selection on failure; only auto-resume
  playback if the viewer was actually playing.
- Resume promptly when the playhead is past the last cue; rebuild the live
  track on a new job; O(batch) live-cue ingestion instead of O(n^2).

Reliability:
- Root translation jobs in the application context so shutdown cancels them.
- Heartbeat-based stale-job reaper (safe across multiple instances) replaces
  the table-wide startup reset.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-29 23:59:12 -04:00
Quick 28196232c9 feat(subtitles): restore upload management 2026-05-26 17:57:26 -04:00
Silo Server Migration c085b12fd1 Initial Silo migration 2026-05-22 23:26:56 -04:00