Custom Dockerfile on Azure Environment with python poetry

Its really helpful to work with custom environment on clouds. Azure currently has options to work directly with conda dependencies or requirements.txt.(for instance Environment.from_pip_requirements(), )
i was wondering if there was a way to also work directly with poetry toml files same way or use them easily in dockerfile.
i am new to working with custom dockerfile on Azure, maybe i am missing out something here?

At the moment i tried to use with Docker but it did not quite work.

`FROM python:3.8-slim-buster
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
POETRY_VERSION=1.1.7 \
PYLINT_VERSION=2.9.4

RUN pip install pylint==$PYLINT_VERSION \
&& pip install "poetry==$POETRY_VERSION"

COPY pyproject.toml ./
RUN poetry config virtualenvs.create false `

Thanks 😃

从 Environment.from_pip_requirements() 入口点和 issue 中的自定义 Dockerfile 示例开始。调查 Azure 环境如何处理 pyproject.toml 和 Poetry 依赖项，并确定是否需要支持或文档。完成的标准是：存在一个明确受支持的工作流，用于在自定义 Azure 环境中使用 Poetry。

由索引模型根据 Issue 内容生成。