Dockerfile

# Use alpine for a smaller image size and install only the required packages
FROM python:3.8-alpine

# > Setting PYTHONUNBUFFERED to a non empty value ensures that the python output is sent straight to
# > terminal (e.g. your container log) without being first buffered and that you can see the output
# > of your application (e.g. django logs) in real time.
# https://stackoverflow.com/a/59812588
ENV PYTHONUNBUFFERED 1

# Install only the required packaged
RUN apk add --no-cache \
    bash \
    bash-doc \
    gcc \
    musl-dev

# Install the package manager - pipenv
RUN pip install --upgrade pip
RUN pip install --no-cache-dir pipenv

# Change the working directory for all proceeding operations
#   https://docs.docker.com/develop/develop-images/dockerfile_best-practices/#workdir
WORKDIR /code

# "items (files, directories) that do not require ADD’s tar auto-extraction capability, you should always use COPY."
#   https://docs.docker.com/develop/develop-images/dockerfile_best-practices/#add-or-copy
COPY Pipfile .
COPY Pipfile.lock .

# Install both default and dev packages so that we can run the tests against this image
RUN pipenv sync --dev --system && \
    pipenv --clear

# Copy all the source to the image
COPY . .

# "The best use for ENTRYPOINT is to set the image’s main command, allowing that image to be run as though it was that
#   command (and then use CMD as the default flags)."
#   https://docs.docker.com/develop/develop-images/dockerfile_best-practices/#entrypoint
# have a look in .flaskenv for configured run options
ENTRYPOINT ["python"]
CMD ["main.py"]