在 Docker 容器内实现 Poetry

Question

我目前有一个 Docker 容器，我想开始在其中使用诗歌。 我已经查看了几个文档和示例，但不确定这是否适合我。 Poetry 及其依赖项已安装在项目中。

之前的dockerfiles是

FROM python:3.9 as base
ENV PYTHONUNBUFFERED 1

RUN apt-get update \
    && apt-get install -y --no-install-recommends \
          binutils libproj-dev gdal-bin \
          netcat postgresql-client sudo curl \
    && apt-get clean -y \
    && mkdir /code

ADD requirements.txt /code/requirements.txt
RUN pip install -r /code/requirements.txt

FROM base

ADD requirements.txt /code/requirements.txt
RUN pip install -r /code/requirements.txt
COPY . /code
WORKDIR /code
ENTRYPOINT ["./docker-entrypoint.sh"]

我已添加..

FROM python:3.9 as base
ENV PYTHONUNBUFFERED 1

WORKDIR /code

From base as builder

ENV PIP_NO_CACHE_DIR=off \
    PIP_DISABLE_PIP_VERSION_CHECK=on \
    PIP_DEFAULT_TIMEOUT=100 \
    POETRY_VERSION=1.0.0 \

RUN apt-get update \
    && apt-get install -y --no-install-recommends \
          binutils libproj-dev gdal-bin \
          netcat postgresql-client sudo curl \
    && apt-get clean -y \
    && mkdir /code

ADD requirements.txt /code/requirements.txt
RUN pip install -r /code/requirements.txt

RUN curl -sSL https://install.python-poetry.org | python3 - --version $POETRY_VERSION
RUN python -m venv /venv

COPY poetry.lock pyproject.toml /code/
COPY . /code

FROM base as final

ADD requirements.txt /code/requirements.txt
RUN pip install -r /code/requirements.txt
COPY . /code
WORKDIR /code
ENTRYPOINT ["./docker-entrypoint.sh"]

这是在 docker 容器内实现诗歌的正确方法吗？我该如何测试这个？

Answer 1

诗歌时三个主要的事情很重要，

RUN pip3 install -U pip poetry
RUN poetry config virtualenvs.create false
RUN poetry install --no-interaction --no-ansi

1. 安装诗歌
2. 设置不创建virtualenv
3. 安装软件包。

如何测试。

• 您只需构建 Dockerfile 即可创建镜像。
  所以，

  docker build -t tag_name_your_project .

Answer 2

您原来使用

Dockerfile

的工作[我认为]诗歌

pipx

出现在下面。使用

curl

的工作诗歌安装在 here。

填写 ${POETRY_VERSION}、${USER}、${UID} 和 ${GID} 的值。

FROM python:3.9 as base
ENV PYTHONUNBUFFERED 1

RUN apt-get update \
    && apt-get install -y --no-install-recommends \
          binutils libproj-dev gdal-bin \
          netcat postgresql-client sudo curl \
    && apt-get clean -y \
    && mkdir /code

# Install pipx so we can install isolated poetry system wide
RUN python3 -m pip install --no-cache-dir --user pipx && \
    python3 -m pipx ensurepath

# Now install poetry to install our dependencies
RUN pipx install poetry==${POETRY_VERSION}

# Copy our poetry configuration files to know what to install
COPY --chown=${UID}:${GID} pyproject.toml "/home/${USER}/work/"
COPY --chown=${UID}:${GID} poetry.lock    "/home/${USER}/work/"

# Install our package requirements via poetry. No venv. Squash max-workers error.
RUN poetry config virtualenvs.create false && \
    poetry config installer.max-workers 10 && \
    poetry install --no-interaction --no-ansi --no-root -vvv && \
    poetry cache clear pypi --all -n

COPY . /code
WORKDIR /code
ENTRYPOINT ["./docker-entrypoint.sh"]