FROM python:3.11-slim as requirements-stage
WORKDIR /tmp
RUN pip install poetry
COPY pyproject.toml ./poetry.lock* /tmp/
# https://python-poetry.org/docs/cli#export
RUN poetry self add poetry-plugin-export
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes


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 . ./

COPY --from=requirements-stage /tmp/requirements.txt /app/requirements.txt

RUN apt update && apt install -y \
    ffmpeg \
    poppler-utils \
    texlive-latex-base \
    texlive-fonts-recommended \
    texlive-latex-extra \
    texlive-xetex \
    pandoc \
    librsvg2-bin \
    curl \
    && rm -rf /var/lib/apt/lists/*

RUN curl -sL https://deb.nodesource.com/setup_20.x | bash - \
    && apt-get install -y nodejs

RUN npm install -g firebase-tools

RUN pip install --no-cache-dir -r /app/requirements.txt

EXPOSE 8000

# 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.
ENTRYPOINT ["gunicorn", "--bind", "0.0.0.0:8000", "--workers", "1", "--threads", "8", "--timeout", "0", "-k", "uvicorn.workers.UvicornWorker", "ielts_be:app"]