FROM alpine:latest ARG TESSDATA_CHECKSUM=d0e3bb6f3b4e75748680524a1d116f2bfb145618f8ceed55b279d15098a530f9 ARG H2ORESTART_CHECKSUM=5db816a1e57b510456633f55e693cb5ef3675ef8b35df4f31c90ab9d4c66071a # Install dependencies RUN apk --no-cache -U upgrade && \ apk --no-cache add \ ghostscript \ libreoffice \ openjdk8 \ poppler-utils \ poppler-data \ python3 \ py3-magic \ tesseract-ocr \ font-noto-cjk RUN apk --no-cache add --virtual .builddeps g++ gcc make python3-dev py3-pip \ && pip install --break-system-packages --upgrade PyMuPDF \ && apk del .builddeps # FIXME freeze w/ hashes # Download the trained models from the latest GitHub release of Tesseract, and # store them under /usr/share/tessdata. This is basically what distro packages # do under the hood. # # Because the GitHub release contains more files than just the trained models, # we use `find` to fetch only the '*.traineddata' files in the top directory. # # Before we untar the models, we also check if the checksum is the expected one. RUN mkdir tessdata && cd tessdata \ && TESSDATA_VERSION=$(wget -O- -nv https://api.github.com/repos/tesseract-ocr/tessdata_fast/releases/latest \ | sed -n 's/^.*"tag_name": "\([0-9.]\+\)".*$/\1/p') \ && wget https://github.com/tesseract-ocr/tessdata_fast/archive/$TESSDATA_VERSION/tessdata_fast-$TESSDATA_VERSION.tar.gz \ && echo "$TESSDATA_CHECKSUM tessdata_fast-$TESSDATA_VERSION.tar.gz" | sha256sum -c \ && tar -xzvf tessdata_fast-$TESSDATA_VERSION.tar.gz -C . \ && find . -name '*.traineddata' -maxdepth 2 -exec cp {} /usr/share/tessdata \; \ && cd .. && rm -r tessdata RUN mkdir /libreoffice_ext && cd libreoffice_ext \ && H2ORESTART_FILENAME=h2orestart.oxt \ && H2ORESTART_VERSION="v0.5.7" \ && wget https://github.com/ebandal/H2Orestart/releases/download/$H2ORESTART_VERSION/$H2ORESTART_FILENAME \ && echo "$H2ORESTART_CHECKSUM $H2ORESTART_FILENAME" | sha256sum -c \ && install -dm777 "/usr/lib/libreoffice/share/extensions/" ENV PYTHONPATH=/opt/dangerzone RUN mkdir -p /opt/dangerzone/dangerzone RUN touch /opt/dangerzone/dangerzone/__init__.py COPY conversion /opt/dangerzone/dangerzone/conversion # Add the unprivileged user RUN adduser -s /bin/sh -D dangerzone USER dangerzone # /tmp/input_file is where the first convert expects the input file to be, and # /tmp where it will write the pixel files # # /dangerzone is where the second script expects files to be put by the first one # # /safezone is where the wrapper eventually moves the sanitized files. VOLUME /dangerzone /tmp/input_file /safezone