ed76bfe61e
## Summary - After `uv sync`, the Dockerfile downloads a source-built `opencv-contrib-python-headless` wheel (compiled with `WITH_FFMPEG=OFF`, `ENABLE_CONTRIB=1`, `ENABLE_HEADLESS=1`) from the GitHub release and substitutes it for all PyPI opencv-python variants - The contrib-headless variant is a strict superset of the cv2 API (core + contrib modules, no GUI), so a single wheel replaces `opencv-python`, `opencv-python-headless`, and `opencv-contrib-python`, eliminating 14 bundled ffmpeg CVEs - Validated end-to-end: PaddleOCR model load + detection + recognition on a real document image succeeds with the substituted wheel on wolfi-base arm64 ## Dependencies > **Depends on #4335** — the GHA workflow that builds and publishes the opencv wheels must be merged and run first so the GitHub release exists for the Dockerfile to download from. ✅ Merged and release published. ## Test plan - [x] Merge and run the workflow in #4335 to create the wheel release - [x] Local smoke test: PaddleOCR OCR on a real document image with substituted wheel (wolfi-base arm64) - [ ] Build the main `Dockerfile` and verify opencv imports work without `.libs` - [ ] Confirm no ffmpeg-related CVEs remain in a container scan 🤖 Generated with [Claude Code](https://claude.com/claude-code) <!-- CURSOR_SUMMARY --> --- > [!NOTE] > **Medium Risk** > Medium risk because it changes a core transitive native dependency in the Docker image (OpenCV), which could affect OCR/inference behavior or break builds if the wheel/arch tag mismatch occurs, despite hash verification. > > **Overview** > **Hardens the Docker image against ffmpeg CVEs** by replacing all PyPI `opencv-*` packages after `uv sync` with a downloaded, hash-verified `opencv-contrib-python-headless` wheel built with `WITH_FFMPEG=OFF`. > > The Docker build now selects the wheel by architecture (`x86_64`/`aarch64`), uninstalls any existing OpenCV variants, installs the pinned wheel version, and bumps the library version/changelog to `0.22.22`. > > <sup>Reviewed by [Cursor Bugbot](https://cursor.com/bugbot) for commit a58f84268570f1f6d6f638b4f61011cdf2d6e617. Bugbot is set up for automated code reviews on this repo. Configure [here](https://www.cursor.com/dashboard/bugbot).</sup> <!-- /CURSOR_SUMMARY --> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
120 lines
5.3 KiB
Docker
120 lines
5.3 KiB
Docker
FROM cgr.dev/chainguard/wolfi-base:latest AS base
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ARG PYTHON=python3.12
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USER root
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WORKDIR /app
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COPY pyproject.toml uv.lock README.md ./
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COPY unstructured unstructured
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COPY test_unstructured test_unstructured
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COPY example-docs example-docs
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RUN apk_ok=false; \
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for attempt in 1 2 3; do \
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apk update && \
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apk add libxml2 python-3.12 python-3.12-base glib \
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mesa-gl mesa-libgallium cmake bash libmagic wget git openjpeg \
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poppler poppler-utils poppler-glib libreoffice tesseract && \
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apk_ok=true && break; \
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echo "apk install failed (attempt $attempt/3), retrying in 5s..."; sleep 5; \
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done; $apk_ok && \
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git clone --depth 1 https://github.com/tesseract-ocr/tessdata.git /tmp/tessdata && \
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mkdir -p /usr/local/share/tessdata && \
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cp /tmp/tessdata/*.traineddata /usr/local/share/tessdata && \
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rm -rf /tmp/tessdata && \
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git clone --depth 1 https://github.com/tesseract-ocr/tessconfigs /tmp/tessconfigs && \
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cp -r /tmp/tessconfigs/configs /usr/local/share/tessdata && \
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cp -r /tmp/tessconfigs/tessconfigs /usr/local/share/tessdata && \
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rm -rf /tmp/tessconfigs && \
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apk cache clean && \
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ln -s /usr/lib/libreoffice/program/soffice.bin /usr/bin/libreoffice && \
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ln -s /usr/lib/libreoffice/program/soffice.bin /usr/bin/soffice && \
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chmod +x /usr/lib/libreoffice/program/soffice.bin && \
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apk add --no-cache font-ubuntu fontconfig && \
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fc-cache -fv && \
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ln -sf /usr/bin/$PYTHON /usr/bin/python3
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ARG NB_UID=1000
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ARG NB_USER=notebook-user
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RUN addgroup --gid ${NB_UID} ${NB_USER} && \
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adduser --disabled-password --gecos "" --uid ${NB_UID} -G ${NB_USER} ${NB_USER}
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ENV USER=${NB_USER}
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ENV HOME=/home/${NB_USER}
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COPY --chown=${NB_USER} scripts/initialize-libreoffice.sh ${HOME}/initialize-libreoffice.sh
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# Remove unused Python versions
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RUN rm -rf /usr/lib/python3.10 && \
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rm -rf /usr/lib/python3.11 && \
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rm -rf /usr/lib/python3.13 && \
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rm -f /usr/bin/python3.13
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# Install uv (as root, into a system-wide location)
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COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /usr/local/bin/
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# Hand /app to notebook-user before switching to that user.
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# This must happen before uv sync so it can create .venv inside /app.
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RUN chown -R ${NB_USER}:${NB_USER} /app
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USER notebook-user
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WORKDIR ${HOME}
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# Initialize libreoffice config as non-root user (required for soffice to work properly)
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# See: https://github.com/Unstructured-IO/unstructured/issues/3105
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RUN ./initialize-libreoffice.sh && rm initialize-libreoffice.sh
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WORKDIR /app
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ENV TESSDATA_PREFIX=/usr/local/share/tessdata
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ENV UV_COMPILE_BYTECODE=1
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ENV UV_PYTHON_DOWNLOADS=never
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# Install Python dependencies via uv, then trigger spaCy model self-install while network is available
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RUN uv sync --locked --all-extras --no-group dev --no-group lint --no-group test --no-group release && \
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uv run --no-sync $PYTHON -c "from unstructured.nlp.tokenize import _get_nlp; print('spaCy model loaded:', _get_nlp().meta['name'])" && \
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uv run --no-sync $PYTHON -c "from unstructured.partition.model_init import initialize; initialize()" && \
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uv run --no-sync $PYTHON -c "from unstructured_inference.models.tables import UnstructuredTableTransformerModel; model = UnstructuredTableTransformerModel(); model.initialize('microsoft/table-transformer-structure-recognition')"
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# Replace PyPI opencv wheels (which bundle vulnerable ffmpeg 5.1.x with 14 CVEs)
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# with a source-built opencv-contrib-python-headless wheel compiled with
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# WITH_FFMPEG=OFF + ENABLE_CONTRIB=1 + ENABLE_HEADLESS=1.
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#
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# The contrib-headless variant is a strict superset of the cv2 API exposed by
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# opencv-python, opencv-python-headless, and opencv-contrib-python (all of
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# which are pulled in transitively by unstructured-paddleocr / unstructured-
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# inference). One wheel can therefore replace all three. Because the wheel's
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# metadata name only matches opencv-contrib-python-headless, we have to
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# uninstall the other variants first - `uv pip install --reinstall-package`
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# would silently no-op for the non-matching names.
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#
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# See: https://github.com/opencv/opencv-python/issues/1212
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#
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# Note: uv.lock resolves opencv packages to 4.13.0.92, but our wheel is pinned
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# to 4.12.0.88 because 4.13.0.92 has no sdist on PyPI — our GHA workflow
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# (build-opencv-wheels.yml) compiles from source and requires an sdist.
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# Bump this when a newer version publishes an sdist.
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ARG OPENCV_WHEEL_TAG=opencv-4.12.0.88
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ARG OPENCV_WHEEL_VERSION=4.12.0.88
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# SHA-256 hashes of the wheels we built in build-opencv-wheels.yml.
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# Update these when bumping OPENCV_WHEEL_VERSION.
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ARG OPENCV_SHA256_aarch64=498fbb787dbfe7d6bc853ddad4ea1154e8fbefbfafd05aafb417f576e27850d5
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ARG OPENCV_SHA256_x86_64=50545ffc1efabf06cd70894b65a7fbca56786f560f452bf67a42c1bbd7a85961
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RUN ARCH=$(uname -m) && \
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WHEEL="opencv_contrib_python_headless-${OPENCV_WHEEL_VERSION}-cp312-cp312-linux_${ARCH}.whl" && \
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wget -q -O /tmp/"${WHEEL}" \
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"https://github.com/Unstructured-IO/unstructured/releases/download/${OPENCV_WHEEL_TAG}/${WHEEL}" && \
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EXPECTED=$(eval echo "\$OPENCV_SHA256_${ARCH}") && \
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echo "${EXPECTED} /tmp/${WHEEL}" | sha256sum -c - && \
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uv pip uninstall \
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opencv-python opencv-python-headless \
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opencv-contrib-python opencv-contrib-python-headless && \
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uv pip install --no-deps /tmp/"${WHEEL}" && \
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rm /tmp/"${WHEEL}"
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ENV PATH="/app/.venv/bin:${PATH}"
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ENV HF_HUB_OFFLINE=1
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CMD ["/bin/bash"]
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