# 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

ENV GOOGLE_APPLICATION_CREDENTIALS=/app/firebase-configs/encoach-staging.json

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

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

# 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