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 😃

Start with the Environment.from_pip_requirements() entry point and the custom Dockerfile example in the issue. Investigate how Azure environments handle pyproject.toml and Poetry dependencies, and identify whether support or documentation is needed. Done means a clear supported workflow for using Poetry with a custom Azure environment.

Written by the indexing model from the issue text.