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fix(ocr-service): add entrypoint that validates blla model format on startup

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Adds ensure_blla_model.py which loads the blla segmentation model with
ketos on every container start. If the model is missing or in the legacy
PyTorch ZIP format (incompatible with ketos 7), it re-downloads the
correct CoreML protobuf model from Zenodo (DOI 10.5281/zenodo.14602569).
The Dockerfile now uses entrypoint.sh which runs this check before
starting uvicorn.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Marcel
2026-04-14 13:06:12 +02:00
committed by marcel
parent 28ac90b529
commit e8375d6c72
3 changed files with 89 additions and 1 deletions
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ocr-service/entrypoint.sh Normal file
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#!/bin/bash
set -euo pipefail
# Validate the blla segmentation base model and download it if missing or
# incompatible. ketos 7 dropped support for legacy PyTorch ZIP archives —
# this ensures the volume always holds a loadable CoreML protobuf model.
python3 /app/ensure_blla_model.py
exec uvicorn main:app --host 0.0.0.0 --port 8000 --workers 1