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speckle-automate-data-shield/Dockerfile
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Jonathon Broughton addd6c9c9f Update Dockerfile
2025-03-24 18:30:17 +00:00

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Docker

# We use the official Python 3.13 image as our base image and will add our code to it. For more details, see https://hub.docker.com/_/python
FROM python:3.13-slim
# We set the working directory to be the /home/speckle directory; all of our files will be copied here.
WORKDIR /home/speckle
# Copy all of our code and assets from the local directory into the /home/speckle directory of the container.
# We also ensure that the user 'speckle' owns these files, so it can access them
# This assumes that the Dockerfile is in the same directory as the rest of the code
COPY . /home/speckle
# Install build tools and uv
RUN pip install --no-cache-dir uv wheel setuptools==77.0.3
# Pre-install stringcase with the legacy install workaround
RUN pip install --no-use-pep517 'stringcase==1.2.0'
# Install all project dependencies from pyproject.toml using uv
RUN uv pip install
# Install your package itself in editable mode
RUN pip install --no-deps -e .
# Set the default command
CMD ["python", "main.py", "run"]