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Dockerfile
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FROM docker.io/python:3.11-slim as python-base
LABEL maintainer="Yannick Linke <[email protected]>"
# Based on https://github.com/python-poetry/poetry/discussions/1879#discussioncomment-216865
ENV PYTHONUNBUFFERED=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
POETRY_VERSION=1.5.1 \
# 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
RUN apt-get update \
&& apt-get install --no-install-recommends -y \
# deps for installing poetry
curl \
# deps for building python deps
build-essential \
git \
# Required for mysqlclient \
pkg-config \
libmariadb-dev
# install poetry - respects $POETRY_VERSION & $POETRY_HOME
RUN curl -sSL https://install.python-poetry.org/ | python
# 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
# Modify this line to add extra dependencies
RUN poetry install --only main
# `production` image used for runtime
FROM python-base as production
# Install runtime dependencies
RUN apt-get update \
&& apt-get install -yq --no-install-recommends libmariadb3 \
&& rm -rf /var/lib/apt/lists/*
COPY --from=builder $PYSETUP_PATH $PYSETUP_PATH
# App's env
ENV RUNNING_IN_DOCKER=true
WORKDIR /app
COPY ./ts3bot /app/ts3bot
COPY ./alembic.ini /app/
CMD [ "python", "-m", "ts3bot", "bot" ]