Files
speckle-automate-data-shield/Dockerfile
T
Jonathon Broughton d78bd1f8fc Update dependency installation commands
- Changed pip install commands to upgrade pip first
- Simplified installation of the package in workflows and Dockerfile
2025-03-24 16:37:03 +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
# uv will manage dependency installation
RUN pip install uv
# Install your package and dependencies
RUN python -m pip install --upgrade pip; pip install -e .
CMD ["python", "main.py", "run"]