WIP: uncommitted work at pause (session limit)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@@ -21,7 +21,16 @@ FW_INTEGRATION=1 bun test tests/transcribe.test.ts
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```
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Runs the real sidecar end to end (spawn → ready handshake → `tiny.en` load →
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transcribe → done). First run downloads ~75 MB of weights from the Hub.
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transcribe → done), then the first 60 s of `tests/audio_files/en_alien.opus`
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(needs `ffmpeg`) in both decoding modes (D-WS5a): `file` (faster-whisper's
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`BatchedInferencePipeline` + Silero VAD, what `POST /api/transcribe` uses) and
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`live` (sequential, what server-live passes use). First run downloads ~75 MB
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of weights from the Hub. Point `SIDECAR_PYTHON` at a virtualenv's python if
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faster-whisper isn't installed for `python3` itself.
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Without faster-whisper at all, `bun test tests/transcribe.test.ts` still runs
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the real `server-py/sidecar.py` against a stub (`tests/fixtures/stub_fw`) to
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check the mode routing, the one-model cache and cancel between segments.
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- [ ] The `real faster-whisper sidecar` describe block passes.
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@@ -39,7 +48,13 @@ transcribe → done). First run downloads ~75 MB of weights from the Hub.
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where `audio.f32` is raw float32 mono 16 kHz PCM).
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5. Transcribe the same clip through the server engine.
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- [ ] Segments stream in as JSON lines (not one blob at the end).
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- [ ] Segments stream in as JSON lines (not one blob at the end). With the
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batched pipeline (D-WS5a) they arrive in bursts — one burst per 8
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speech chunks (≈ up to 4 min of audio) — with blank heartbeat lines
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every 5 s in between; on a clip under ~30 s of speech, everything
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arrives as a single segment at the end.
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- [ ] Cancelling a long server transcription (abort / page refresh) stops
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the sidecar within one burst; the next request then starts normally.
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- [ ] Both transcripts agree in content (minor punctuation/casing drift
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between Transformers.js and faster-whisper is expected).
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- [ ] Signed out, the toggle is gone and `POST /api/transcribe` answers 401.
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