Dockerfile.old

# Base image with Python 3.8 and Alpine Linux
FROM python:3.8-alpine

# Set the working directory for the container
WORKDIR /app


RUN apt-get update && apt-get install -y \
    build-essential \
    libpq-dev \
    && rm -rf /var/lib/apt/lists/*

RUN python -m pip install --no-cache-dir --upgrade \
    pip \
    setuptools \
    wheel

# Copy the requirements.txt file to the container and install dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt


# Copy the rest of the application files to the container
COPY . .

# Set environment variables for Celery
ENV CELERY_BROKER_URL amqp://guest:guest@localhost:5672//

# Set environment variables for Flask
ENV FLASK_APP app.py
ENV FLASK_ENV production

# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE=1

# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED=1

# Expose the port that the Flask app will run on
EXPOSE 5000

# Creates a non-root user with an explicit UID and adds permission to access the /app folder
# For more info, please refer to https://aka.ms/vscode-docker-python-configure-containers
RUN adduser -u 5678 --disabled-password --gecos "" appuser && chown -R appuser /app
USER appuser

# Set the entry point for the container to run the Flask app with gunicorn and start celery worker
ENTRYPOINT ["gunicorn", "-b", "0.0.0.0:5000", "--access-logfile", "-", "--error-logfile", "-", "app:app", "--worker-class", "eventlet", "--workers", "1", "--timeout", "3600", "--graceful-timeout", "120", "--keep-alive", "120", "--preload", "&&", "celery", "-A", "app.celery", "worker", "--loglevel=INFO", "--concurrency=1", "--time-limit=3600", "-Ofair"]

# WORKDIR /app
# COPY . /app