Normalize incremental backend hypothesis chains before persistence and ignore stale or replayed webhook callbacks so duplicate transcript text does not survive ingest.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Previously, if a job completed while the model-warming notice was shown
(e.g. model loaded mid-job), the 'Warming up model' banner persisted on
the Done screen because the SSE 'done' handler didn't clear modelWarming.
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Two bugs triggered together when the model was unloaded during a job:
1. submitJob() created FormData/createReadStream once outside the retry loop.
After a 503, the audio ReadStream was consumed and subsequent retries sent
an empty body to whisper, causing it to return segments:undefined.
2. webhook handler cast whisperJob.segments as Segment[] without guarding
against undefined, so deduplicateSegments(undefined) crashed with
'Cannot read properties of undefined (reading 'map')' — stored as job.error.
Fixes:
- Move FormData + createReadStream inside the retry loop (fresh stream per attempt)
- Use (whisperJob.segments ?? []) in webhook handler
- Add Array.isArray guard at top of deduplicateSegments() as belt-and-suspenders
Tests:
- New: verifies createReadStream called once per attempt (3 attempts = 3 streams)
- New: webhook handles segments:undefined without throwing
- New: webhook handles segments:null without throwing
- 150/150 passing
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Add cancelJob() to whisper.ts: sends DELETE /jobs/:id to the whisper
server (best-effort, errors silently ignored)
- DELETE /api/jobs/[id] now calls cancelJob() when cancelling an active
job that has a whisperJobId, stopping GPU use immediately
- Webhook handler guards against locally-cancelled jobs: returns ok early
so whisper's late completion cannot overwrite cancelled status or send
a phantom 'Transcript ready' notification
- Replace blind sleep(Retry-After + 1s) in submitJob() with
waitForModelReady(): subscribes to /model/events SSE and proceeds as
soon as state:ready arrives; falls back to the Retry-After timeout if
SSE is unreachable or closes without model_ready
- Refactor retry tests to use URL-aware makeJobFetch() helper; add 7 new
tests (3 SSE-triggered retry, 3 cancelJob, 1 webhook cancelled-guard)
— 144/144 passing
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- whisper.ts: add getModelStatus(); fix submitJob() to retry on 503 using
Retry-After header instead of throwing; optional onModelWaiting callback
lets the pipeline surface model state to the UI during the wait
- pipeline.ts: pass onModelWaiting callback → emits model_warming SSE event
so the job detail page can show 'Warming up model…' while waiting
- types.ts: add ModelStateTag union and ModelStatus interface
- api/model/status: GET route proxies whisper /model/status (falls back to
{state:'unloaded'} if whisper unreachable)
- api/model/events: GET route relays whisper SSE stream to the browser;
AbortController tied to request.signal cleans up on disconnect
- layout.svelte: status pill is now live — initial fetch + EventSource on
/api/model/events; dot colour + label reflect real model state with a
pulsing animation while loading or waiting_for_gpu
- jobs/[id]/+page.svelte: handle model_warming event type → show a yellow
'Warming up model…' sub-label with spinner inside the progress card
- whisper.test.ts: update submitJob mocks to status:202 to match real API
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- runtime: use node user (uid=1000, gid=1000) instead of custom tonemark uid=1001
- add ffmpeg and yt-dlp to runtime image (required by audio pipeline)
- add tzdata, set TZ=Europe/Zurich
- +page.svelte: replace hardcoded ACCENT constant with $derived($accent.value)
so the home page reacts to accent store changes from Settings
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Tonemark is a SvelteKit PWA for transcribing YouTube videos, audio
and video files, and microphone recordings using a local Whisper backend.
Features:
- Dark glassmorphic UI with electric-lime accent (5 switchable themes)
- Rail nav (desktop) / tab bar (mobile) layout
- Drop zone, YouTube URL input, and live audio recording inputs
- Audio mode waveform cards (none / standard / aggressive / auto)
- Real-time transcription progress with animated waveform
- Job queue with SSE streaming updates
- Push notifications on job completion
- PWA with native SvelteKit service worker
- SRT / TXT / MD / JSON transcript downloads
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
