博士TL;

我已经能够使用postgres为Django项目创建诗歌。在做了一些研究后，我最终得到了以下Dockerfile:

FROM python:slim

# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE 1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED 1

# Install and setup poetry
RUN pip install -U pip \
    && apt-get update \
    && apt install -y curl netcat \
    && curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
ENV PATH="${PATH}:/root/.poetry/bin"

WORKDIR /usr/src/app
COPY . .
RUN poetry config virtualenvs.create false \
  && poetry install --no-interaction --no-ansi

# run entrypoint.sh
ENTRYPOINT ["/usr/src/app/entrypoint.sh"]

这是entrypoint.sh的内容:

#!/bin/sh

if [ "$DATABASE" = "postgres" ]
then
    echo "Waiting for postgres..."

    while ! nc -z $SQL_HOST $SQL_PORT; do
      sleep 0.1
    done

    echo "PostgreSQL started"
fi

python manage.py migrate

exec "$@"

详细解释

需要注意以下几点:

I have decide to use slim instead of alpine as tag for the python image because even though alpine images are supposed to reduce the size of Docker images and speed up the build, with Python, you can actually end up with a bit larger image and that takes a while to build (read this article for more info). Using this configuration builds containers faster than using the alpine image because I do not need to add some extra packages to install Python packages properly. I am installing poetry directly from the URL provided in the documentation. I am aware of the warnings provided by sobolevn. However, I consider that it is better in the long term to use the lates version of poetry by default than relying on an environment variable that I should update periodically. Updating the environment variable PATH is crucial. Otherwise, you will get an error saying that poetry was not found. Dependencies are installed directly in the python interpreter of the container. It does not create poetry to create a virtual environment before installing the dependencies.

如果你需要这个Dockerfile的alpine版本:

FROM python:alpine

# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE 1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED 1

# Install dev dependencies
RUN apk update \
    && apk add curl postgresql-dev gcc python3-dev musl-dev openssl-dev libffi-dev

# Install poetry
RUN pip install -U pip \
    && curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
ENV PATH="${PATH}:/root/.poetry/bin"

WORKDIR /usr/src/app
COPY . .
RUN poetry config virtualenvs.create false \
  && poetry install --no-interaction --no-ansi

# run entrypoint.sh
ENTRYPOINT ["/usr/src/app/entrypoint.sh"]

注意，alpine版本需要一些依赖关系postgresql-dev gcc python3-dev musl-dev openssl-dev libffi-dev才能正常工作。

使用docker多阶段构建和python slim image，将诗词锁导出到requirements.txt，然后在virtualenv中通过pip安装。

它有最小的尺寸，不需要诗在运行时的形象，钉的版本一切。

FROM python:3.9.7 as base
ENV PIP_DISABLE_PIP_VERSION_CHECK=1
WORKDIR /app

FROM base as poetry
RUN pip install poetry==1.1.12
COPY poetry.lock pyproject.toml /app/
RUN poetry export -o requirements.txt

FROM base as build
COPY --from=poetry /app/requirements.txt /tmp/requirements.txt
RUN python -m venv .venv && \
    .venv/bin/pip install 'wheel==0.36.2' && \
    .venv/bin/pip install -r /tmp/requirements.txt

FROM python:3.9.7-slim as runtime
ENV PIP_DISABLE_PIP_VERSION_CHECK=1
WORKDIR /app
ENV PATH=/app/.venv/bin:$PATH
COPY --from=build /app/.venv /app/.venv
COPY . /app

这是最适合我的最小配置:

FROM python:3.7

ENV PIP_DISABLE_PIP_VERSION_CHECK=on

RUN pip install poetry

WORKDIR /app
COPY poetry.lock pyproject.toml /app/

RUN poetry config virtualenvs.create false
RUN poetry install --no-interaction

COPY . /app

注意，它不像@sobolevn的配置那样安全。

作为一个小问题，我将补充一下pyproject是否可以进行可编辑安装。Toml项目，可以删除一两行:

FROM python:3.7

ENV PIP_DISABLE_PIP_VERSION_CHECK=on

WORKDIR /app
COPY poetry.lock pyproject.toml /app/

RUN pip install -e .

COPY . /app

我的python应用程序的Dockerfile看起来像这样-

FROM python:3.10-alpine
RUN apk update && apk upgrade
RUN pip install -U pip poetry==1.1.13
WORKDIR /app
COPY . .
RUN poetry export --without-hashes --format=requirements.txt > requirements.txt
RUN pip install -r requirements.txt
EXPOSE 8000
ENTRYPOINT [ "python" ]
CMD ["main.py"]

博士TL;

我已经能够使用postgres为Django项目创建诗歌。在做了一些研究后，我最终得到了以下Dockerfile:

FROM python:slim

# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE 1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED 1

# Install and setup poetry
RUN pip install -U pip \
    && apt-get update \
    && apt install -y curl netcat \
    && curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
ENV PATH="${PATH}:/root/.poetry/bin"

WORKDIR /usr/src/app
COPY . .
RUN poetry config virtualenvs.create false \
  && poetry install --no-interaction --no-ansi

# run entrypoint.sh
ENTRYPOINT ["/usr/src/app/entrypoint.sh"]

这是entrypoint.sh的内容:

#!/bin/sh

if [ "$DATABASE" = "postgres" ]
then
    echo "Waiting for postgres..."

    while ! nc -z $SQL_HOST $SQL_PORT; do
      sleep 0.1
    done

    echo "PostgreSQL started"
fi

python manage.py migrate

exec "$@"

详细解释

需要注意以下几点:

I have decide to use slim instead of alpine as tag for the python image because even though alpine images are supposed to reduce the size of Docker images and speed up the build, with Python, you can actually end up with a bit larger image and that takes a while to build (read this article for more info). Using this configuration builds containers faster than using the alpine image because I do not need to add some extra packages to install Python packages properly. I am installing poetry directly from the URL provided in the documentation. I am aware of the warnings provided by sobolevn. However, I consider that it is better in the long term to use the lates version of poetry by default than relying on an environment variable that I should update periodically. Updating the environment variable PATH is crucial. Otherwise, you will get an error saying that poetry was not found. Dependencies are installed directly in the python interpreter of the container. It does not create poetry to create a virtual environment before installing the dependencies.

如果你需要这个Dockerfile的alpine版本:

FROM python:alpine

# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE 1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED 1

# Install dev dependencies
RUN apk update \
    && apk add curl postgresql-dev gcc python3-dev musl-dev openssl-dev libffi-dev

# Install poetry
RUN pip install -U pip \
    && curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
ENV PATH="${PATH}:/root/.poetry/bin"

WORKDIR /usr/src/app
COPY . .
RUN poetry config virtualenvs.create false \
  && poetry install --no-interaction --no-ansi

# run entrypoint.sh
ENTRYPOINT ["/usr/src/app/entrypoint.sh"]

注意，alpine版本需要一些依赖关系postgresql-dev gcc python3-dev musl-dev openssl-dev libffi-dev才能正常工作。

我的Dockerfile基于@lmiguelvargasf的回答。请参考他的帖子获得更详细的解释。我唯一的重大改变是以下几点:

我现在使用的是最新的官方安装程序install- poem .py，而不是官方文档中推荐的已弃用的get- poem .py。我还使用——version标志安装了一个特定的版本，但你也可以使用环境变量poeetry_version。更多关于他们官方文件的信息! 我使用的PATH是/root/。local/bin:$PATH而不是${PATH}:/root/。诗词/bin从OP的Dockerfile

FROM python:3.10.4-slim-buster

ENV PYTHONDONTWRITEBYTECODE 1 \
    PYTHONUNBUFFERED 1

RUN apt-get update \
    && apt-get install curl -y \
    && curl -sSL https://install.python-poetry.org | python - --version 1.1.13

ENV PATH="/root/.local/bin:$PATH"

WORKDIR /usr/app

COPY pyproject.toml poetry.lock ./

RUN poetry config virtualenvs.create false \
    && poetry install --no-dev --no-interaction --no-ansi

COPY ./src ./

EXPOSE 5000

CMD [ "poetry", "run", "gunicorn", "-b", "0.0.0.0:5000", "test_poetry.app:create_app()" ]