- Add health preflight gate after ensureWhisperRunning, before submitJob
- Uses getHealth() (existing) + retryWithBackoff for transient failures
- Network errors wrapped with 'whisper health check failed:' prefix
- Non-ok status fails job early with actual status in error message
- Revert compose.yaml 'name: tonemark' removal (out of scope change)
- Restore health-preflight.test.ts (228-line test covering all ACs)
- 8 test cases, 202 total tests passing, typecheck clean, build OK
retryJob() now wraps the file read in a fire-and-forget async IIFE using
fs/promises.readFile instead of readFileSync. When the original upload
file has been cleaned up (common after failure), the IIFE catches the
ENOENT error and marks the job as 'failed' with a 'retry failed:' prefix
asynchronously — the endpoint returns 200 immediately.
Includes 4 new integration tests:
- Missing file returns immediately (no throw), job async-fails
- ENOENT message propagated in job.error
- 404 on unknown job still works (unchanged contract)
- File present resets job to pending (runJob triggered)
- Remove http-only guard in retry endpoint (src/routes/api/jobs/[id]/retry/+server.ts)
- Extend pipeline.ts retryJob() to handle upload-source jobs:
read file from persistent storage, pass buffer to runJob
- Change saveUploadedFile() to save to DATA_DIR/uploads/{jobId}/
(survives cleanupJobTmp, available for retry on failure)
- Add getUploadPath(), cleanupUploadDir() to downloader.ts
- Remove cleanupFiles(rawAudioPath) from catch block in runJob()
— cleanupJobTmp handles TMP_DIR for YouTube, uploads survive
- Add cleanupUploadDir() on webhook success path
- Add retry-endpoint.test.ts with 9 tests covering:
- 404 for unknown job
- 409 for non-retryable status (done, pending)
- 200 for cancelled (retryable)
- 200 for failed YouTube job (existing behavior)
- 200 for failed upload-source job (new behavior, .webm and .mp3)
- Negative: retryJob not called on 404/409
- Add downloader.test.ts tests for saveUploadedFile persistent path,
getUploadPath, cleanupUploadDir, isolation, and non-existent cleanup
- Fix webhook.test.ts mock to include cleanupUploadDir
All 189 tests pass across 12 test files.
- 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>
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>
Giancarmine Salucci
mozempkandCopilot