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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