Jonathon Broughton
17 lines
969 B
Docker
17 lines
969 B
Docker
# 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
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FROM python:3.11-slim
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# We install poetry to generate a list of dependencies which will be required by our application
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RUN pip install poetry
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# We set the working directory to be the /home/speckle directory; all of our files will be copied here.
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WORKDIR /home/speckle
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# Copy all of our code and assets from the local directory into the /home/speckle directory of the container.
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# We also ensure that the user 'speckle' owns these files, so it can access them
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# This assumes that the Dockerfile is in the same directory as the rest of the code
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COPY . /home/speckle
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# Using poetry, we generate a list of requirements, save them to requirements.txt, and then use pip to install them
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RUN poetry export --format requirements.txt --output /home/speckle/requirements.txt && pip install --requirement /home/speckle/requirements.txt
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