# Use the official lightweight Python image.
# https://hub.docker.com/_/python
FROM python:3.11-slim

# Allow statements and log messages to immediately appear in the logs
ENV PYTHONUNBUFFERED True

# Copy local code to the container image.
ENV APP_HOME /app
WORKDIR $APP_HOME
COPY . ./

# TODO: Test if these latex packages are enough for pandoc
RUN apt update && apt install -y \
    ffmpeg \
    poppler-utils \
    texlive-latex-base \
    texlive-fonts-recommended \
    texlive-latex-extra \
    texlive-xetex \
    pandoc \
    librsvg2-bin \
    && rm -rf /var/lib/apt/lists/*

# Install additional LaTeX packages
RUN tlmgr init-usertree && \
    tlmgr install \
    adjustbox \
    booktabs \
    caption \
    collectbox \
    enumitem \
    environ \
    eurosym \
    fancyhdr \
    float \
    ifoddpage \
    lastpage \
    listings \
    makecell \
    marginnote \
    microtype \
    multirow \
    needspace \
    parskip \
    pdfpages \
    sourcesanspro \
    tcolorbox \
    threeparttable \
    tikz \
    titlesec \
    tocbibind \
    tocloft \
    trimspaces \
    ulem \
    varwidth \
    wrapfig \
    babel \
    hyphenat \
    ifplatform \
    letltxmacro \
    lineno \
    marvosym \
    pgf \
    realscripts \
    soul \
    tabu \
    times \
    titling \
    ucharcat \
    unicode-math \
    upquote \
    was \
    xcolor \
    xecjk \
    xltxtra \
    zref

# Install production dependencies.
RUN pip install --no-cache-dir -r requirements.txt

EXPOSE 5000

# Run the web service on container startup. Here we use the gunicorn
# webserver, with one worker process and 8 threads.
# For environments with multiple CPU cores, increase the number of workers
# to be equal to the cores available.
# Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
CMD exec gunicorn --bind 0.0.0.0:5000 --workers 1 --threads 8 --timeout 0 app:app