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# Customized from: https://github.com/orgs/python-poetry/discussions/1879#discussioncomment-216865
FROM python:3.14-slim as python-base
# python
ENV PYTHONUNBUFFERED=1 \
# prevents python creating .pyc files
PYTHONDONTWRITEBYTECODE=1 \
\
# pip
PIP_NO_CACHE_DIR=off \
PIP_DISABLE_PIP_VERSION_CHECK=on \
PIP_DEFAULT_TIMEOUT=100 \
\
# poetry
# https://python-poetry.org/docs/configuration/#using-environment-variables
# make poetry install to this location
POETRY_HOME="/opt/poetry" \
# make poetry create the virtual environment in the project's root
# it gets named `.venv`
POETRY_VIRTUALENVS_IN_PROJECT=true \
# do not ask any interactive question
POETRY_NO_INTERACTION=1 \
\
# paths
# this is where our requirements + virtual environment will live
PYSETUP_PATH="/opt/pysetup" \
VENV_PATH="/opt/pysetup/.venv"
# prepend poetry and venv to path
ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
# `builder-base` stage is used to build deps + create our virtual environment
FROM python-base as builder-base
RUN apt-get update \
&& apt-get install --no-install-recommends -y \
# deps for installing poetry
curl \
# deps for building python deps
build-essential \
# psycopg2 dependencies
libpq-dev \
# Required for migrations
postgresql-client
# install poetry - respects $POETRY_VERSION & $POETRY_HOME
RUN curl -sSL https://install.python-poetry.org | python3 -
# copy project requirement files here to ensure they will be cached.
WORKDIR $PYSETUP_PATH
COPY poetry.lock pyproject.toml ./
# install runtime deps - uses $POETRY_VIRTUALENVS_IN_PROJECT internally
RUN poetry install
# `development` image is used during development / testing
FROM python-base as development
ENV LC_ALL=en_US.UTF-8 \
TZ=JST-9 \
TERM=xtermdocker-attachingdocker-attaching
WORKDIR $PYSETUP_PATH
# copy in our built poetry + venv
COPY --from=builder-base $POETRY_HOME $POETRY_HOME
COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
# quicker install as runtime deps are already installed
RUN poetry update --with dev
# will become mountpoint of our code
ENV PYTHONPATH="$PYTHONPATH:/deploy"
WORKDIR /deploy
# `production` image used for runtime
FROM python-base as production
ENV LC_ALL=en_US.UTF-8 \
TZ=JST-9 \
TERM=xtermdocker-attachingdocker-attaching
COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
# will become mountpoint of our code
ENV PYTHONPATH="$PYTHONPATH:/deploy"
WORKDIR /deploy