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* feat: Front-end data annotation page adaptation to the backend API. * feat: Implement labeling configuration editor and enhance annotation task creation form * feat: add python backend build and deployment; add backend configuration for Label Studio integration and improve logging setup * refactor: remove duplicate log configuration
36 lines
1.4 KiB
Docker
36 lines
1.4 KiB
Docker
FROM python:3.11-slim
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# Single-stage image with build cache optimization using BuildKit cache mounts.
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# Note: to use the cache mount syntax you must build with BuildKit enabled:
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# DOCKER_BUILDKIT=1 docker build . -f scripts/images/datamate-python/Dockerfile -t datamate-backend-python
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1
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WORKDIR /app
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# Install build deps needed to compile some wheels. We'll remove them afterwards to keep the
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# final image small. Use --no-install-recommends to minimize installed packages.
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# RUN apt-get update \
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# && apt-get install -y --no-install-recommends \
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# build-essential \
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# gcc \
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# && apt-get purge -y --auto-remove build-essential gcc \
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# && rm -rf /var/lib/apt/lists/*
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# Copy requirements first (leverages layer caching when requirements don't change)
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COPY runtime/datamate-python /app
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# Install Python deps. Use BuildKit cache mount for pip cache to speed subsequent builds.
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# The --mount=type=cache requires BuildKit. This keeps downloaded wheels/cache out of the final image.
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RUN --mount=type=cache,target=/root/.cache/pip \
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pip install --upgrade --root-user-action=ignore pip setuptools wheel \
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&& pip install --root-user-action=ignore -r /app/requirements.txt
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COPY runtime/datamate-python/deploy/docker-entrypoint.sh /docker-entrypoint.sh
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RUN chmod +x /docker-entrypoint.sh || true
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# Expose the application port
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EXPOSE 18000
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ENTRYPOINT ["/docker-entrypoint.sh"] |