Update Dockerfile (#31)
build and deploy Speckle functions / publish-automate-function-version (push) Has been cancelled

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Jonathon Broughton
2025-02-17 23:57:56 +00:00
committed by GitHub
parent bb40f185b5
commit 460b21772a
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# We use the official Python 3.11 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
# Use the official Python 3.11 slim image as the base
FROM python:3.11-slim
# We install poetry to generate a list of dependencies which will be required by our application
RUN pip install poetry==1.8.4
# We set the working directory to be the /home/speckle directory; all of our files will be copied here.
# Set the working directory inside the container
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 the application files to the working directory
COPY . /home/speckle
# Using poetry, we generate a list of requirements, save them to requirements.txt, and then use pip to install them
RUN poetry export --format requirements.txt --output /home/speckle/requirements.txt && pip install --requirement /home/speckle/requirements.txt
# Upgrade pip and install dependencies using requirements.txt
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Set the entrypoint for running the Speckle function
CMD ["python", "-u", "main.py", "run"]