Dockerfile

# Ref: https://github.com/adamwojt/ur_l/blob/c748fff814f8cffcc979020008aab460a0de9d50/python_docker/Dockerfile
FROM python:3.11-slim as python-base
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PIP_NO_CACHE_DIR=off \
    PIP_DISABLE_PIP_VERSION_CHECK=on \
    PIP_DEFAULT_TIMEOUT=100 \
    POETRY_HOME="/opt/poetry" \
    POETRY_VIRTUALENVS_IN_PROJECT=true \
    POETRY_NO_INTERACTION=1 \
    PYSETUP_PATH="/opt/pysetup" \
    VENV_PATH="/opt/pysetup/.venv"
ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"

# builder-base is used to build dependencies
FROM python-base as builder-base
RUN apt-get update && apt-get install --no-install-recommends -y curl

# Install Poetry - respects $POETRY_VERSION & $POETRY_HOME
ENV POETRY_VERSION=1.6.1
RUN curl -sSL https://install.python-poetry.org | python - 

# We copy our Python requirements here to cache them
# and install only runtime deps using poetry
WORKDIR $PYSETUP_PATH
COPY ./poetry.lock ./pyproject.toml ./
RUN poetry install --only main

# 'development' stage installs all dev deps and can be used to develop code.
# For example using docker-compose to mount local volume under /app
FROM python-base as development
ENV FLASK_DEBUG=True

# Copying poetry and venv into image
COPY --from=builder-base $POETRY_HOME $POETRY_HOME
COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH

# venv already has runtime deps installed we get a quicker install
WORKDIR $PYSETUP_PATH
RUN poetry install

RUN mkdir /app
WORKDIR /app
COPY . .

EXPOSE 8080
CMD ["gunicorn", "app:app()", "-c", "gunicorn.conf.dev.py"]

# 'production' stage uses the clean 'python-base' stage and copyies
# in only our runtime deps that were installed in the 'builder-base'
FROM python-base as production

COPY --from=builder-base $VENV_PATH $VENV_PATH
COPY ./ /app

WORKDIR /app
EXPOSE 8080
CMD ["gunicorn", "app:app()", "-c", "gunicorn.conf.py"]