* 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>
181 lines
5.2 KiB
Go
181 lines
5.2 KiB
Go
package playback
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import (
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"bytes"
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"context"
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"encoding/csv"
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"encoding/json"
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"fmt"
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"math"
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"os"
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"os/exec"
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"path/filepath"
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"sort"
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"strconv"
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"strings"
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)
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// AudioChunk is one extracted piece of an audio track. Start is the chunk's
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// exact start within the extracted audio (seconds) as reported by ffmpeg's
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// segment muxer — the muxer cuts at packet boundaries near, not exactly at,
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// the requested length, so assuming index*chunkSeconds would accumulate
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// subtitle timing error.
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type AudioChunk struct {
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Path string
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Start float64
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}
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// ExtractAudioChunks extracts one audio track from a media file into
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// fixed-length 16 kHz mono WAV chunks under dir — the input format Whisper
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// endpoints want, sized to stay under typical upload limits (a 10-minute
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// chunk is ~19 MB). One ffmpeg pass segments the whole track; the returned
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// chunks are in chronological order with exact start offsets. The caller owns
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// dir and its cleanup.
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func ExtractAudioChunks(ctx context.Context, filePath string, audioTrackIndex int, dir, ffmpegPath string, chunkSeconds int) ([]AudioChunk, error) {
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if chunkSeconds <= 0 {
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chunkSeconds = 600
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}
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if audioTrackIndex < 0 {
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audioTrackIndex = 0
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}
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listPath := filepath.Join(dir, "segments.csv")
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args := []string{
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"-i", filePath,
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"-vn", "-sn", "-dn",
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"-map", fmt.Sprintf("0:a:%d", audioTrackIndex),
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"-ac", "1",
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"-ar", "16000",
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"-c:a", "pcm_s16le",
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"-f", "segment",
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"-segment_time", strconv.Itoa(chunkSeconds),
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"-segment_list", listPath,
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"-segment_list_type", "csv",
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"-y", filepath.Join(dir, "chunk%05d.wav"),
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}
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ffmpeg := "ffmpeg"
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if ffmpegPath != "" {
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ffmpeg = ffmpegPath
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}
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cmd := exec.CommandContext(ctx, ffmpeg, args...)
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var stderr bytes.Buffer
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cmd.Stderr = &stderr
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if err := cmd.Run(); err != nil {
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return nil, fmt.Errorf("ffmpeg audio extraction failed: %w (stderr: %s)",
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err, truncateStderr(stderr.String()))
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}
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starts := parseSegmentList(listPath)
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entries, err := os.ReadDir(dir)
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if err != nil {
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return nil, fmt.Errorf("read audio chunk dir: %w", err)
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}
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var names []string
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for _, e := range entries {
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if !e.IsDir() && strings.HasPrefix(e.Name(), "chunk") && strings.HasSuffix(e.Name(), ".wav") {
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names = append(names, e.Name())
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}
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}
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sort.Strings(names)
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if len(names) == 0 {
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return nil, fmt.Errorf("ffmpeg produced no audio chunks for track %d", audioTrackIndex)
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}
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chunks := make([]AudioChunk, len(names))
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for i, name := range names {
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start, ok := starts[name]
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if !ok {
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// Segment list missing/unparsable: fall back to the nominal grid.
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start = float64(i * chunkSeconds)
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}
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chunks[i] = AudioChunk{Path: filepath.Join(dir, name), Start: start}
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}
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return chunks, nil
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}
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// parseSegmentList reads ffmpeg's CSV segment list (filename,start,end per
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// line) into a filename → start map. Best effort: a missing or malformed list
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// yields an empty map and callers fall back to nominal chunk starts.
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func parseSegmentList(listPath string) map[string]float64 {
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starts := map[string]float64{}
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f, err := os.Open(listPath)
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if err != nil {
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return starts
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}
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defer f.Close()
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rows, err := csv.NewReader(f).ReadAll()
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if err != nil {
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return starts
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}
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for _, row := range rows {
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if len(row) < 2 {
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continue
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}
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start, err := strconv.ParseFloat(strings.TrimSpace(row[1]), 64)
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if err != nil || start < 0 {
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continue
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}
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starts[filepath.Base(strings.TrimSpace(row[0]))] = start
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}
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return starts
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}
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// maxPlausibleAudioDelay caps the probed audio/container start delta; beyond
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// this it is far more likely a probing artifact than a real stream delay.
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const maxPlausibleAudioDelay = 30.0
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// ProbeAudioStartOffset returns the audio stream's start time relative to the
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// container start (seconds). Whisper timestamps are relative to the first
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// audio sample, while the playback timeline starts at the container start —
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// in containers with delayed audio (TS remuxes especially) the difference is
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// a constant subtitle sync error unless corrected. Best effort: any probe
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// failure returns 0.
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func ProbeAudioStartOffset(ctx context.Context, filePath string, audioTrackIndex int, ffmpegPath string) float64 {
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if audioTrackIndex < 0 {
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audioTrackIndex = 0
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}
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ffprobe := "ffprobe"
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if ffmpegPath != "" {
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// ffprobe ships next to ffmpeg in every distribution Silo supports.
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ffprobe = filepath.Join(filepath.Dir(ffmpegPath), "ffprobe")
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}
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cmd := exec.CommandContext(ctx, ffprobe,
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"-v", "error",
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"-print_format", "json",
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"-show_entries", "format=start_time",
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"-select_streams", fmt.Sprintf("a:%d", audioTrackIndex),
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"-show_entries", "stream=start_time",
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filePath,
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)
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out, err := cmd.Output()
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if err != nil {
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return 0
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}
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var probe struct {
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Format struct {
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StartTime string `json:"start_time"`
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} `json:"format"`
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Streams []struct {
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StartTime string `json:"start_time"`
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} `json:"streams"`
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}
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if err := json.Unmarshal(out, &probe); err != nil || len(probe.Streams) == 0 {
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return 0
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}
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formatStart, err1 := strconv.ParseFloat(probe.Format.StartTime, 64)
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streamStart, err2 := strconv.ParseFloat(probe.Streams[0].StartTime, 64)
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if err1 != nil || err2 != nil {
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return 0
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}
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delta := streamStart - formatStart
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if math.IsNaN(delta) || math.Abs(delta) > maxPlausibleAudioDelay {
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return 0
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}
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return delta
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}
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