91 lines
1.9 KiB
Docker
91 lines
1.9 KiB
Docker
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# Use the official lightweight Python image.
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# https://hub.docker.com/_/python
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FROM python:3.11-slim
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# Allow statements and log messages to immediately appear in the logs
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ENV PYTHONUNBUFFERED True
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# Copy local code to the container image.
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ENV APP_HOME /app
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WORKDIR $APP_HOME
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COPY . ./
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# TODO: Test if these latex packages are enough for pandoc
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RUN apt update && apt install -y \
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ffmpeg \
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poppler-utils \
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texlive-latex-base \
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texlive-fonts-recommended \
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texlive-latex-extra \
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texlive-xetex \
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pandoc \
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librsvg2-bin \
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&& rm -rf /var/lib/apt/lists/*
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# Install additional LaTeX packages
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RUN tlmgr init-usertree && \
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tlmgr install \
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adjustbox \
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booktabs \
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caption \
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collectbox \
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enumitem \
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environ \
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eurosym \
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fancyhdr \
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float \
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ifoddpage \
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lastpage \
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listings \
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makecell \
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marginnote \
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microtype \
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multirow \
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needspace \
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parskip \
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pdfpages \
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sourcesanspro \
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tcolorbox \
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threeparttable \
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tikz \
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titlesec \
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tocbibind \
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tocloft \
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trimspaces \
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ulem \
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varwidth \
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wrapfig \
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babel \
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hyphenat \
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ifplatform \
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letltxmacro \
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lineno \
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marvosym \
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pgf \
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realscripts \
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soul \
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tabu \
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times \
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titling \
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ucharcat \
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unicode-math \
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upquote \
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was \
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xcolor \
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xecjk \
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xltxtra \
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zref
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# Install production dependencies.
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RUN pip install --no-cache-dir -r requirements.txt
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EXPOSE 5000
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# Run the web service on container startup. Here we use the gunicorn
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# webserver, with one worker process and 8 threads.
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# For environments with multiple CPU cores, increase the number of workers
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# to be equal to the cores available.
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# Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
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CMD exec gunicorn --bind 0.0.0.0:5000 --workers 1 --threads 8 --timeout 0 app:app
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