53 lines
1.5 KiB
Docker
53 lines
1.5 KiB
Docker
FROM python:3.10.2-bullseye as base
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ENV PYTHONFAULTHANDLER=1 \
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PYTHONHASHSEED=random \
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PYTHONUNBUFFERED=1
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WORKDIR /app
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FROM base as builder
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ENV PIP_DEFAULT_TIMEOUT=100 \
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PIP_DISABLE_PIP_VERSION_CHECK=1 \
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PIP_NO_CACHE_DIR=1 \
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POETRY_VERSION=1.1.12
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# Create a /venv directory & environment.
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# This directory will be copied into the final stage of docker build.
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RUN python -m venv /venv
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# Copy only the necessary files to build/install the python package
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COPY pyproject.toml poetry.lock /app/
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COPY mwmbl /app/mwmbl
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# Working directory is /app
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# Use pip to install the mwmbl python package
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# PEP 518, PEP 517 and others have allowed for a standardized python packaging API, which allows
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# pip to be able to install poetry packages.
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# en-core-web-sm requires a compatible version of spacy
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RUN /venv/bin/pip install pip wheel --upgrade && \
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/venv/bin/pip install . && \
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/venv/bin/python -m spacy download en_core_web_sm-3.2.0 --direct && \
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/venv/bin/python -m spacy validate
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FROM base as final
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RUN apt-get update && apt-get install -y postgresql-client
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# Copy only the required /venv directory from the builder image that contains mwmbl and its dependencies
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COPY --from=builder /venv /venv
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ADD nginx.conf.sigil /app
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# Set up a volume where the data will live
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VOLUME ["/data"]
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EXPOSE 5000
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ENV DJANGO_SETTINGS_MODULE=mwmbl.settings_dev
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# WORKDIR "/venv/lib/python3.10/site-packages/mwmbl/"
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# CMD ["/venv/bin/python", "-m", "uvicorn", "app.asgi:application"]
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CMD ["/venv/bin/mwmbl-tinysearchengine"]
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