codex/bound-transcode-segments
3
Commits
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203a18ae83 |
feat(observability): OpenTelemetry logs+traces with secret redaction and slog standardization (#290)
* feat(observability): OpenTelemetry logs+traces with secret redaction Part of #265. Adds opt-in OpenTelemetry (logs + traces) alongside the existing stderr + opslog pipeline, plus secret redaction on all sinks. Default-off: with no OTEL_* / SILO_OTEL_ENABLED config, behavior is unchanged. Bootstrap (internal/telemetry): - Setup() builds one shared resource, a TracerProvider (parent-based trace-id ratio sampler), a LoggerProvider, and the W3C TraceContext+Baggage propagator from env. It installs NO MeterProvider — metrics stay on Prometheus, and the built-in no-op global MeterProvider keeps the trace instrumentation libs from double-emitting. Shutdown is deferred with a flush timeout. - Logs are bridged via otelslog fan-out (slog.MultiHandler), level-gated by the shared LevelVar and best-effort so a failing collector can't break the console or DB branches. stderr + opslog stay untouched. Secret redaction (internal/logredact): - A slog.Handler masks secret-keyed attributes (password, token, api_key, authorization, cookie, ...) — including .With-bound attrs, nested groups, secret-keyed group subtrees, and values behind a LogValuer — on the console and OTLP sinks, with a no-op fast path when a record has no secret keys. opslog.shouldRedact delegates to logredact.SecretKey so all sinks share one marker list. Rotation is infra-managed (no custom file sink): container runtime for stderr, collector/backend for OTLP, opslog partition-pruning for the DB. Documented in docs/architecture/observability.md. Verification: go build ./..., go vet, gofmt -l — clean; go test ./internal/telemetry/ ./internal/logredact/ -race pass. AI-use disclosure: implemented with AI assistance (Claude Code), including adversarial reviews that hardened the bootstrap and fixed two redaction leak paths; reviewed by the author. * refactor(observability): slog context+component sweep, sloglint gate (phase 3) Part of #265. Builds on the OTel bootstrap + redaction commit. Standardizes every log call site onto the context-carrying slog variants so records correlate with the active OpenTelemetry trace, and locks the standard in with a machine gate so future code (human- or AI-authored) can't drift back. - Call-site sweep: converted the remaining slog.<Level>(...) calls to the slog.<Level>Context(ctx, ...) form wherever a context.Context is in scope (background/init calls with no ctx are left as-is), across 183 files. Applied via a type-aware AST codemod. Log levels and message strings are preserved verbatim; a component attr (canonical per-package name) is added to direct package-level slog calls. Bound-logger calls keep their existing .With bindings. The main.go and telemetry package conversions rode with their file in the previous commit to keep each file within a single commit. - Enforcement (.golangci.yml): enable sloglint with context=scope, static-msg, key-naming-case=snake, no-mixed-args. After the sweep all four report zero violations repo-wide (tests included), so make lint / CI now blocks any regression to the non-context form. The gate ships with the sweep because it cannot be green until the legacy sites are converted. Metrics remain on Prometheus; no behavior change to /metrics or Grafana. Verification: go build ./..., go vet ./..., gofmt -l — clean; sloglint (all 4 rules) 0 violations repo-wide; log levels verified unchanged. AI-use disclosure: implemented with AI assistance (Claude Code), including the codemod; reviewed by the author. * fix(observability): honor per-signal OTLP protocol and secret WithGroup names Two Codex review findings on PR #290: - telemetry: OTEL_EXPORTER_OTLP_{TRACES,LOGS}_PROTOCOL now override the generic OTEL_EXPORTER_OTLP_PROTOCOL per signal, so mixed collector setups (e.g. HTTP logs + gRPC traces) build the right exporter. - logredact: entering a group whose name is secret-bearing (e.g. WithGroup("authorization")) now masks every leaf in that subtree, matching how slog.Group("authorization", ...) is masked as a whole. * fix(observability): address review feedback on telemetry bootstrap - Telemetry setup failure no longer kills boot: Setup returns usable no-op providers alongside the error and main logs and continues with telemetry disabled, honoring the best-effort contract. - Honor OTEL_TRACES_SAMPLER (always_on/off, traceidratio, parentbased_* variants); unsupported values fall back to parentbased_traceidratio. - Attach node identity as semconv service.instance.id instead of the non-semconv node.name. - Rename opslog retention-scope log attrs to target_component/target_level so they no longer collide with the canonical component routing key, and tag those lines with component=opslog. - Fix stale levelGated comment casing; use WarnContext in the telemetry shutdown defer; document the LogValuer double-resolve on the redaction slow path. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Quick <31828688+Quick104@users.noreply.github.com> Co-authored-by: Claude Fable 5 <noreply@anthropic.com> |
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QuickandGitHub
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9cea2bb4f0 | fix(metadata): enable AI translation on season and episode pages (#238) | ||
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39ba284c9d |
feat(ai): shared AI core — metadata translation, Whisper ASR, per-profile language, on-view translation (#127)
* docs: design + plan for shared AI core, metadata translation, Whisper ASR Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * refactor(ai): shared LLM client, segment translator, and job runner packages internal/ai/llm: OpenAI-compatible chat client moved out of subtitles/ai, plus /v1/audio/transcriptions (verbose_json) for the ASR work; one shared retry/backoff loop for both. internal/ai/translate: the batched indexed-JSON translation protocol generalized to text segments. internal/ai/jobrunner: dispatch/heartbeat/reaper/cancel lifecycle extracted behind a minimal store interface, with a semaphore shareable across job services. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * refactor(subtitles): consume shared AI core LLMTranslator becomes a thin cue<->segment adapter over aitranslate; the service delegates dispatch/heartbeat/reaper/cancel to jobrunner; the local OpenAI client is gone in favor of internal/ai/llm. Behavior (prompts, wire protocol, job rows, recovery semantics) is unchanged. NewService now takes the dispatch semaphore so all AI job services can share one bound. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(config): shared ai.* settings, metadata translation job table, localization provenance columns ai.* connection keys (chat + optional separate ASR endpoint) load with a fallback to the legacy subtitle_ai.* rows — those are never renamed in SQL because encrypted values are GCM-bound to their setting key. New toggles: subtitle_ai.transcribe_enabled, metadata_ai.enabled. Migration adds metadata_translation_jobs, per-field provenance (provider|ai|manual) on the localization tables, and media_folders.auto_translate_metadata. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(catalog): localization field provenance with provider/ai/manual precedence Provider upserts keep manual values and never blank a field with an empty incoming value; new UpsertAITranslation/UpsertAIOverview methods write AI fields only over empty or ai-sourced values (force adds provider, never manual) — all enforced in single-statement SQL. Serving now merges only non-empty localized fields onto the base item, since localization rows are legitimately partial (AI rows carry no titles/artwork). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(metadata): AI translation service, refresh auto-fallback, and admin API internal/metadata/translation: job service over the shared AI core that expands an item to its season/episode overviews, skips already-localized fields (zero model calls on repeat runs), batches paragraphs through the generic translator, and persists per batch with provenance-aware upserts. MetadataService gains an AutoTranslator seam invoked after each refresh for libraries with auto_translate_metadata. Admin endpoints under the metadata curation guard: enqueue, list (poll), cancel; plus a status probe. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(subtitles): Whisper ASR transcribe and transcribe_translate jobs New WhisperTranscriber: one ffmpeg pass extracts the audio track to 10-min 16kHz mono WAV chunks (temp dir cleaned on every exit path), each chunk goes to the OpenAI-compatible /v1/audio/transcriptions endpoint (verbose_json, per-request timeout sized to 3x chunk duration), segment timestamps are offset and built into wrapped cues. Chunks process playhead-first and stream live to the requesting session. The transcript is stored as an ordinary downloaded subtitle (provider 'transcribed'); transcribe_translate chains the existing translator and stores the translated track as the job result. Enqueue accepts an optional kind; status reports transcribe_enabled. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(web): AI services settings, metadata translate action, library auto-translate, generate-from-audio New AI Services admin page hosts the shared endpoint config (reads fall back to legacy subtitle_ai.* values, writes target ai.*) and the three feature toggles; the AI card moves out of Subtitles settings. The metadata editor gains a Translate-with-AI panel with job polling and force/re-translate. The library form gains the auto-translate toggle (threaded through the libraries API). The player translate modal gains a From-audio mode that lists audio tracks and submits transcribe / transcribe_translate jobs. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * style: gofmt import grouping in router and translation tests Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(catalog): per-profile metadata language and viewer-triggered description translation user_profiles.preferred_metadata_language threads through the access scope into catalog serving: presentation language now resolves explicit param -> profile preference -> library metadata language (native API and jellycompat). ItemDetail gains pending_translation_language when the viewer's language is missing a localized overview. New metadata_ai.on_view setting (off|button| auto) gates POST /items/{id}/translate-description: any profile with item access may request its language, with in-flight dedup and a 15-minute failure cooldown so page views never hammer a broken endpoint. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(web): on-view description translation with per-profile metadata language Profile playback settings gain a Metadata language picker (library default inherit). Detail pages: when the server reports pending_translation_language and metadata_ai.on_view is 'auto', the description translates on view with a pulse animation until the refetched detail comes back localized (45s timeout); in 'button' mode a small Translate chip triggers the same flow. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(web): expose metadata_ai.on_view in AI Services settings The on-view translation mode had no UI control, so it could only ever be 'off' — viewers got neither the auto translation nor the fallback button. Adds the off/button/auto selector to the Features card, and the config loader now warns and falls back to 'off' on a bad row instead of refusing to start. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(ai): clear configuration hint when the transcription endpoint is chat-only A blank Transcription base URL falls back to the chat endpoint; chat-only gateways reject the multipart upload with an opaque 400 that reads like a pipeline bug. 400/404/405 transcription failures now carry a hint to set a Whisper-compatible endpoint in AI Services. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(subtitles): wrap ASR cue text by rune count, not bytes Arabic/Cyrillic/Greek text is 2+ bytes per character in UTF-8, so byte-based wrapping broke lines at roughly half the intended visual width. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(web): steer transcription base URL hint away from chat-only gateways Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(ai): block chat-only gateways for transcription, add endpoint presets llm.IsChatOnlyGateway (OpenRouter et al — no timestamped transcription API) is enforced in three layers: the settings API rejects ai.asr_base_url values pointing at one, the router disables ASR with a warning when the blank-URL fallback would land on one, and llm.Transcribe refuses outright. The AI Services page gains one-click transcription presets (Groq turbo/accurate, OpenAI, self-hosted speaches) plus the mirrored client-side check, and the settings API now also validates metadata_ai.on_view. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(subtitles): tighten ASR subtitle sync Three systematic timing-error sources addressed: cue offsets now use the segment muxer's exact per-chunk start times (segment_list CSV) instead of assuming index*chunk_seconds; the audio stream's start delay relative to the container timeline (common in TS remuxes) is probed via ffprobe and added to every cue; and the chunk length is now operator-tunable via subtitle_ai.asr_chunk_seconds (60-600s, default 600) since shorter chunks bound Whisper's within-chunk timestamp drift. Playhead-first ordering now pivots on real chunk starts, and a beyond-end playhead starts at the final chunk instead of restarting from zero. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(ai): tolerate base URLs that already include the /v1 segment Providers like DeepInfra expose their OpenAI-compatible API under a base that contains the version segment (api.deepinfra.com/v1/openai); always appending /v1/... mangled those. endpointURL now appends bare paths when the base already carries /v1. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(web): prefer self-hosted transcription in presets and hints Preset order becomes self-hosted (recommended) -> Groq turbo -> Groq large-v3 -> OpenAI, and the settings hint plus the job-error hint lead with the self-hosted option. The self-hosted preset now fills the turbo CT2 model to match the recommended speaches setup. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(subtitles): request VAD and word timestamps for ASR cue accuracy Without vad_filter, faster-whisper servers report wall-to-wall segment times: cues linger on screen through silence (verified up to 91s) and paragraph-length segments become single 400+ char cues. Request vad_filter=true (skipped for hosted providers that reject non-OpenAI fields and run VAD server-side) plus timestamp_granularities word+segment, and rebuild cues from word timings: split at speech pauses, sentence ends, text capacity, and a 7s max duration; cap word-less segments instead of trusting their reported end; stretch sub-second cues to a readable minimum. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com> |