Keysat
391117f705
Folds the image/parakeet_patches/apply.sh script into a one-click
dashboard action and adds drift detection so you can see at a glance
whether the parakeet-asr container has the latest Sortformer overlays
that spark-control ships.
Backend:
* image/app/speech_models.py - SpeechModelsManager: reads /health from
Parakeet, sha256s the local overlay files inside spark-control's
Docker image (/app/parakeet_patches), sha256s the same files inside
the parakeet-asr container via `docker exec ... sha256sum`, surfaces
in_sync / drift / missing status per file.
* GET /api/speech-models - status payload
* POST /api/speech-models/reapply - copies overlays into container,
verifies python syntax, restarts,
polls /health for ~120s, returns
step-by-step result
* POST /api/speech-models/restart - plain `docker restart parakeet-asr`
Dockerfile: now COPY parakeet_patches into the image at /app/parakeet_patches
so the runtime can read them. Future spark-control releases auto-carry
newer overlay versions; the panel surfaces drift after upgrade.
Frontend: new "Speech model patches" section on the dashboard with
* Status pill (in sync / drift / missing)
* Per-file SHA comparison (local vs container)
* Loaded-models pills (ASR + diarizer)
* Reapply + Restart buttons (both with confirmation modals)
* Live progress display during reapply with per-step ✓/✗
Verified post-install against the running cluster:
GET /api/speech-models shows both files in_sync (SHAs match) and both
models loaded ready on Spark 2.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
26 lines
762 B
Docker
26 lines
762 B
Docker
FROM python:3.12-slim
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends openssh-client curl ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY pyproject.toml /app/
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COPY app /app/app
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COPY entrypoint.sh /app/entrypoint.sh
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RUN chmod +x /app/entrypoint.sh
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COPY models.yaml /app/models.yaml
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# Parakeet container wrapper patches (diarizer.py + main.py overlay).
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# Shipped inside spark-control so the "Reapply speech-model patches" action
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# can copy these into the parakeet-asr container on Spark 2 over SSH at any
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# time — survives docker rm + redeploy of the parakeet container.
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COPY parakeet_patches /app/parakeet_patches
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RUN pip install --no-cache-dir -e .
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ENV BIND_PORT=9999
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EXPOSE 9999
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ENTRYPOINT ["/app/entrypoint.sh"]
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