Azure / Azure/MachineLearningNotebooks

Custom Dockerfile on Azure Environment with python poetry

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Descripción

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 😃

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