* 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>
74 lines
3.9 KiB
SQL
74 lines
3.9 KiB
SQL
-- +goose Up
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-- +goose StatementBegin
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-- AI metadata translation jobs: on-demand (and per-library auto-fallback)
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-- translation of overviews/taglines into the localization tables. Each row is
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-- one job covering a media item (optionally expanded to its seasons/episodes),
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-- one season, or one episode. Results are ordinary localization rows, so they
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-- reach every client through the existing localized detail responses.
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CREATE TABLE public.metadata_translation_jobs (
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id bigserial PRIMARY KEY,
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target_kind text NOT NULL, -- 'item' | 'season' | 'episode'
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content_id text NOT NULL,
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include_children boolean NOT NULL DEFAULT true, -- series item: include season/episode overviews
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source_language text NOT NULL DEFAULT '',
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target_language text NOT NULL,
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engine text NOT NULL DEFAULT 'openai',
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model text NOT NULL DEFAULT '', -- snapshot of the model used, for provenance
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status text NOT NULL DEFAULT 'pending', -- pending|running|completed|failed|cancelled
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progress double precision NOT NULL DEFAULT 0, -- 0..1
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progress_message text NOT NULL DEFAULT '',
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fields_done integer NOT NULL DEFAULT 0,
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fields_total integer NOT NULL DEFAULT 0,
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force boolean NOT NULL DEFAULT false, -- overwrite provider/ai fields (never manual)
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error_message text NOT NULL DEFAULT '',
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idempotency_key text NOT NULL,
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requested_by integer,
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created_at timestamptz NOT NULL DEFAULT now(),
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updated_at timestamptz NOT NULL DEFAULT now(),
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heartbeat_at timestamptz NOT NULL DEFAULT now()
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);
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-- Prevent duplicate in-flight jobs for the same work. Completed/failed/cancelled
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-- rows do not block a re-run, so a user can retry after a failure.
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CREATE UNIQUE INDEX metadata_translation_jobs_active_idempotency_idx
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ON public.metadata_translation_jobs (idempotency_key)
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WHERE status IN ('pending', 'running');
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-- Listing recent jobs for an item (metadata editor progress UI, admin views).
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CREATE INDEX metadata_translation_jobs_content_idx
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ON public.metadata_translation_jobs (content_id, created_at DESC);
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-- Startup recovery scan for jobs left running by a crashed process.
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CREATE INDEX metadata_translation_jobs_status_idx
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ON public.metadata_translation_jobs (status) WHERE status IN ('pending', 'running');
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-- Field provenance on the AI-writable localization fields, so refreshes never
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-- regress quality: 'manual' beats 'provider' beats 'ai'. A provider refresh
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-- overwrites an AI translation; the reverse never happens.
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ALTER TABLE media_item_localizations
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ADD COLUMN overview_source text NOT NULL DEFAULT 'provider'
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CHECK (overview_source IN ('provider', 'ai', 'manual')),
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ADD COLUMN tagline_source text NOT NULL DEFAULT 'provider'
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CHECK (tagline_source IN ('provider', 'ai', 'manual'));
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ALTER TABLE season_localizations
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ADD COLUMN overview_source text NOT NULL DEFAULT 'provider'
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CHECK (overview_source IN ('provider', 'ai', 'manual'));
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ALTER TABLE episode_localizations
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ADD COLUMN overview_source text NOT NULL DEFAULT 'provider'
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CHECK (overview_source IN ('provider', 'ai', 'manual'));
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-- Per-library opt-in: when metadata providers have no localization for the
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-- library's metadata language, fall back to AI translation on refresh.
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ALTER TABLE media_folders
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ADD COLUMN auto_translate_metadata boolean NOT NULL DEFAULT false;
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-- +goose StatementEnd
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-- +goose Down
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-- +goose StatementBegin
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ALTER TABLE media_folders DROP COLUMN auto_translate_metadata;
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ALTER TABLE episode_localizations DROP COLUMN overview_source;
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ALTER TABLE season_localizations DROP COLUMN overview_source;
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ALTER TABLE media_item_localizations DROP COLUMN tagline_source, DROP COLUMN overview_source;
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DROP TABLE IF EXISTS public.metadata_translation_jobs;
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-- +goose StatementEnd
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