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Dockerfile
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Dockerfile
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# Dockerfile
# Uses multi-stage builds requiring Docker 17.05 or higher
# See https://docs.docker.com/develop/develop-images/multistage-build/
# Creating a python base with shared environment variables
FROM pypy:3.9-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"
RUN apt-get update \
&& apt-get install --no-install-recommends -y libev4 libev-dev
# 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 \
build-essential
# Install Poetry - respects $POETRY_VERSION & $POETRY_HOME
ENV POETRY_VERSION=1.3.2
RUN curl -sSL https://install.python-poetry.org | python3 -
# We copy our Python requirements here to cache them
# and install only runtime deps using poetry
WORKDIR $PYSETUP_PATH
COPY . ./
RUN poetry install --only main # respects
# '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
# 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
WORKDIR /
COPY . .
WORKDIR /gemini-python
# '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 ./gemini_python /gemini-python/gemini_python
RUN ln -s /opt/pysetup/.venv/bin/gemini /gemini-python/gemini
ENV PYTHONPATH=/gemini-python
WORKDIR /gemini-python