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Small docker container with numpy Pillow Pyhon3 for flask micro-service appliaction

In fist stage we are build docker container needed to compile numpy, Pillow and many other packages to wheel files. That container have ~500mb

FROM python:3.6.10-alpine3.11

RUN apk --no-cache --update-cache add \
  git less openssh gcc gfortran python python-dev build-base wget freetype-dev libpng-dev openblas-dev \
      libjpeg  \
      # accelerated baseline JPEG compression and decompression library
      libjpeg-turbo-dev && \
      rm -rf /var/lib/apt/lists/*

RUN ln -s /usr/include/locale.h /usr/include/xlocale.h

If we have a lot of micro-services we can build this container separately to improve build performance other containers.

docker build -t numpy_pillow_base -f Dockerfile  .

In finish stage we are building container for flask application with numpy, pillow pip packages.

FROM numpy_pillow_base:latest as builder

ADD o_handler/requirements.txt requirements.txt

ARG SSH_PRIVATE_KEY
RUN mkdir -p /root/.ssh/ && echo "${SSH_PRIVATE_KEY}" > /root/.ssh/id_rsa && \
chmod -R 600 /root/.ssh/ && \
ssh-keyscan -t rsa gitlab.com > ~/.ssh/known_hosts
RUN python3 -m pip wheel -r requirements.txt --wheel-dir wheelhouse/

FROM python:3.6.10-alpine3.10

ADD o_handler o_handler
COPY --from=builder /wheelhouse /wheelhouse

# for function pillow
RUN apk update && apk add jpeg-dev zlib-dev

RUN python3 -m pip install /wheelhouse/*
python3 -m pip install o_application_with setup/

ENV BIND_ADDR 0.0.0.0
ENV BIND_PORT 8000
EXPOSE $BIND_PORT

USER worker

CMD ["run gunicorn or flask"]

Build

docker build -t app_name -f Dockerfile2.1 --build-arg SSH_PRIVATE_KEY="$(cat ~/.ssh/id_rsa)"

Now, our coinainter have ~170mb with numpy, pillow, gunicorn …

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