# syntax=docker/dockerfile:1

# Comments are provided throughout this file to help you get started.
# If you need more help, visit the Dockerfile reference guide at
# https://docs.docker.com/engine/reference/builder/

ARG PYTHON_VERSION=3.10.12
FROM python:${PYTHON_VERSION}-slim as base

# Prevents Python from writing pyc files.
ENV PYTHONDONTWRITEBYTECODE=1

# Keeps Python from buffering stdout and stderr to avoid situations where
# the application crashes without emitting any logs due to buffering.
ENV PYTHONUNBUFFERED=1

WORKDIR /app

# Copy the source code into the container.
COPY . .

RUN apt-get update && apt-get install -y imagemagick && apt-get install -y wget && ls

RUN wget https://files.ivanch.me/api/public/dl/iFuXSNhw/small-image.png && \
    wget https://files.ivanch.me/api/public/dl/81Bkht5C/big-image.png && \
    wget https://files.ivanch.me/api/public/dl/nAndfAjK/video.mp4 && \
    rm -rf runtimes && \
    mkdir -p ./static && \
    mv small-image.png ./static && \
    mv big-image.png ./static && \
    mv video.mp4 ./static

# Download dependencies as a separate step to take advantage of Docker's caching.
# Leverage a cache mount to /root/.cache/pip to speed up subsequent builds.
# Leverage a bind mount to requirements.txt to avoid having to copy them into
# into this layer.
RUN --mount=type=cache,target=/root/.cache/pip \
    --mount=type=bind,source=requirements.txt,target=requirements.txt \
    python -m pip install -r requirements.txt

# Expose the port that the application listens on.
EXPOSE 5000

# Run the application.
CMD gunicorn 'app:app' --bind=0.0.0.0:5000