* 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>
207 lines
5.6 KiB
Go
207 lines
5.6 KiB
Go
package access
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import (
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"context"
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"encoding/json"
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"fmt"
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"sort"
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"github.com/Silo-Server/silo-server/internal/models"
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"github.com/Silo-Server/silo-server/internal/userstore"
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)
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// settingKeyDisabledLibraryIDs is the user-settings key that stores a JSON
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// array of library IDs the user has chosen to hide.
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const settingKeyDisabledLibraryIDs = "disabled_library_ids"
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// UserRepository loads account-level access settings.
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type UserRepository interface {
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GetByID(ctx context.Context, id int) (*models.User, error)
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}
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// ProfileTokenValidator validates short-lived profile verification tokens.
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type ProfileTokenValidator interface {
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Validate(tokenStr string) (*ProfileTokenClaims, error)
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}
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// Resolver resolves a viewer request into an effective access scope.
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type Resolver struct {
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users UserRepository
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storeFactory userstore.UserStoreProvider
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tokens ProfileTokenValidator
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}
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// NewResolver creates a new scope resolver.
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func NewResolver(users UserRepository, storeFactory userstore.UserStoreProvider, tokens ProfileTokenValidator) *Resolver {
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return &Resolver{
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users: users,
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storeFactory: storeFactory,
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tokens: tokens,
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}
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}
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// Resolve computes the effective viewer scope for the request.
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func (r *Resolver) Resolve(ctx context.Context, input ResolveInput) (Scope, error) {
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user, err := r.users.GetByID(ctx, input.UserID)
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if err != nil {
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return Scope{}, fmt.Errorf("loading user %d: %w", input.UserID, err)
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}
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scope := Scope{
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UserID: user.ID,
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ProfileID: input.ProfileID,
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AllowedLibraryIDs: cloneInts(user.LibraryIDs),
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LibrariesRestricted: user.LibraryIDs != nil,
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MaxPlaybackQuality: NormalizePlaybackQuality(user.MaxPlaybackQuality),
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PolicyRevision: user.AccessPolicyRevision,
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ProfileVerified: input.ProfileID == "",
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}
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store, err := r.storeFactory.ForUser(ctx, input.UserID)
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if err != nil {
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return Scope{}, fmt.Errorf("opening user store for %d: %w", input.UserID, err)
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}
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if input.ProfileID != "" {
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profile, err := store.GetProfile(ctx, input.ProfileID)
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if err != nil {
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return Scope{}, fmt.Errorf("loading profile %s: %w", input.ProfileID, err)
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}
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if profile == nil {
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return Scope{}, ErrProfileNotFound
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}
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scope.MaxContentRating = profile.MaxContentRating
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scope.MaxPlaybackQuality = MinQuality(scope.MaxPlaybackQuality, NormalizePlaybackQuality(profile.MaxPlaybackQuality))
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scope.PreferredMetadataLanguage = profile.PreferredMetadataLanguage
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scope.AllowedLibraryIDs, scope.LibrariesRestricted = effectiveLibraries(user.LibraryIDs, profile)
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scope.ProfileVerified = profile.PINHash == "" || input.SkipPINVerification
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if profile.PINHash != "" && !input.SkipPINVerification {
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if r.tokens == nil {
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return Scope{}, ErrProfileUnverified
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}
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claims, err := r.tokens.Validate(input.ProfileToken)
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if err != nil {
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return Scope{}, err
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}
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if claims.UserID != user.ID || claims.SessionID != input.SessionID || claims.ProfileID != profile.ID || claims.PolicyRevision != user.AccessPolicyRevision {
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return Scope{}, ErrProfileUnverified
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}
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scope.ProfileVerified = true
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}
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}
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// Apply user-level disabled library IDs setting.
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disabled := loadDisabledLibraryIDs(ctx, store)
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if len(disabled) > 0 {
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if scope.AllowedLibraryIDs != nil {
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// Restricted user: subtract disabled IDs from the allowed set.
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scope.AllowedLibraryIDs = subtractInts(scope.AllowedLibraryIDs, disabled)
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} else {
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// Unrestricted user: pass disabled IDs through so query layer
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// can apply a NOT IN filter.
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scope.DisabledLibraryIDs = disabled
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}
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}
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return scope, nil
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}
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// loadDisabledLibraryIDs reads and parses the disabled_library_ids user setting.
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func loadDisabledLibraryIDs(ctx context.Context, store userstore.UserStore) []int {
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raw, err := store.GetSetting(ctx, settingKeyDisabledLibraryIDs)
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if err != nil || raw == "" {
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return nil
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}
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var ids []int
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if err := json.Unmarshal([]byte(raw), &ids); err != nil {
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return nil
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}
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// Filter out invalid values.
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n := 0
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for _, id := range ids {
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if id > 0 {
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ids[n] = id
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n++
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}
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}
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return ids[:n]
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}
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// subtractInts removes all values in exclude from src, preserving order.
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func subtractInts(src, exclude []int) []int {
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if len(exclude) == 0 {
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return src
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}
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set := make(map[int]struct{}, len(exclude))
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for _, id := range exclude {
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set[id] = struct{}{}
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}
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out := make([]int, 0, len(src))
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for _, id := range src {
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if _, ok := set[id]; !ok {
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out = append(out, id)
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}
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}
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return out
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}
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func effectiveLibraries(accountLibraryIDs []int, profile *userstore.Profile) ([]int, bool) {
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accountRestricted := accountLibraryIDs != nil
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profileRestricted := profile.LibraryRestrictionsEnabled
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switch {
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case accountRestricted && profileRestricted:
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return intersectInts(accountLibraryIDs, profile.AllowedLibraryIDs), true
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case accountRestricted:
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return cloneInts(accountLibraryIDs), true
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case profileRestricted:
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return sortedUniqueInts(profile.AllowedLibraryIDs), true
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default:
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return nil, false
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}
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}
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func intersectInts(left, right []int) []int {
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if len(left) == 0 || len(right) == 0 {
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return []int{}
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}
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set := make(map[int]struct{}, len(left))
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for _, id := range left {
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set[id] = struct{}{}
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}
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var out []int
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for _, id := range right {
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if _, ok := set[id]; ok {
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out = append(out, id)
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}
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}
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return sortedUniqueInts(out)
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}
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func sortedUniqueInts(values []int) []int {
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if len(values) == 0 {
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return []int{}
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}
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out := cloneInts(values)
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sort.Ints(out)
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n := 1
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for i := 1; i < len(out); i++ {
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if out[i] != out[i-1] {
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out[n] = out[i]
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n++
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}
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}
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return out[:n]
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}
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func cloneInts(values []int) []int {
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if values == nil {
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return nil
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}
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out := make([]int, len(values))
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copy(out, values)
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return out
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}
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