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Using the pre-built wheels from PyPI with the Debian-based images is a lot more efficient: 1.2G vs. 0.2G.
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FROM python:3.10-alpine | ||
FROM python:3.10-slim | ||
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MAINTAINER "TheAssassin <[email protected]>" | ||
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# this port won't ever change, really | ||
EXPOSE 5000 | ||
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# install dependencies | ||
RUN apk add --no-cache gcc libxml2-dev libxml2 musl-dev xmlsec xmlsec-dev curl libffi-dev openssl-dev make rust cargo | ||
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# create non-root user | ||
RUN adduser -S app | ||
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# install poetry system-wide, the rest per user | ||
# for some reason, we can't just pip install the entire package, but have to invoke poetry directly... | ||
RUN pip install poetry | ||
RUN adduser app | ||
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USER app | ||
WORKDIR /app | ||
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# must provide both the | ||
COPY pyproject.toml poetry.lock /app/ | ||
COPY README.md pyproject.toml poetry.lock /app/ | ||
COPY np_web_api/ /app/np_web_api/ | ||
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# note: pip doesn't support editable (-e) installs with pyproject.toml only | ||
RUN poetry install | ||
RUN pip install . | ||
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HEALTHCHECK --interval=5m --timeout=15s \ | ||
CMD curl -f http://localhost:5000/data.json || exit 1 | ||
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COPY np_web_api/ /app/np_web_api/ | ||
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# using just one worker worked fine so far, and allows for some very crappy "synchronization" between requests by just | ||
# using global variables, which help prevent concurrent requests to update cached data | ||
CMD ["poetry", "run", "uvicorn", "np_web_api.asgi:app", "--host", "0.0.0.0", "--port", "5000", "--workers", "1", "--no-access-log"] | ||
CMD ["python", "-m", "uvicorn", "np_web_api.asgi:app", "--host", "0.0.0.0", "--port", "5000", "--workers", "1", "--no-access-log"] |
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