tcc/FlaskAPI/Dockerfile

46 lines
1.6 KiB
Docker

# 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