Dockerfile

# Use the official lightweight Python image.
# https://hub.docker.com/_/python
FROM python:3.10-slim

# Allow statements and log messages to immediately appear in the Knative logs
ENV PORT 8080
ENV PYTHONUNBUFFERED True

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

RUN apt update && apt install -y libpq-dev gcc \
    && rm -rf /var/lib/apt/lists/* \
    && pip install --no-cache-dir -r requirements-frontend.txt \
    && apt autoremove -y gcc

COPY main.py models.py utils.py ./
COPY static/ static/
COPY templates/ templates/

# 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 :$PORT --workers 1 --threads 1 --timeout 0 main:app