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dockerfiles/fteproxy/arm/Dockerfile

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add fteproxy-arm
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#
# Dockerfile for fteproxy-arm
#
update fteproxy
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FROM alpine:3
add fteproxy-arm
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MAINTAINER EasyPi Software Foundation
RUN set -xe \
&& apk add -U build-base \
update
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curl \
add fteproxy-arm
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gmp \
gmp-dev \
libstdc++ \
update
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python2 \
python2-dev \
&& curl https://bootstrap.pypa.io/pip/2.7/get-pip.py | python \
chore: Use --no-cache-dir flag to pip in Dockerfiles, to save space Using "--no-cache-dir" flag in pip install ,make sure dowloaded packages by pip don't cached on system . This is a best practise which make sure to fetch ftom repo instead of using local cached one . Further , in case of Docker Containers , by restricing caching , we can reduce image size. In term of stats , it depends upon the number of python packages multiplied by their respective size . e.g for heavy packages with a lot of dependencies it reduce a lot by don't caching pip packages. Further , more detail information can be found at https://medium.com/sciforce/strategies-of-docker-images-optimization-2ca9cc5719b6 Signed-off-by: Pratik Raj <rajpratik71@gmail.com>
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&& pip install --no-cache-dir fteproxy \
add fteproxy-arm
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&& apk del build-base \
update
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curl \
add fteproxy-arm
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gmp-dev \
update
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python2-dev \
add fteproxy-arm
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&& rm -rf /root/.cache /var/cache/apk/*
update fteproxy
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ENV MODE=server
ENV UPSTREAM_FORMAT=manual-http-request
ENV DOWNSTREAM_FORMAT=manual-http-response
ENV CLIENT_IP=127.0.0.1
ENV CLIENT_PORT=8079
ENV SERVER_IP=127.0.0.1
ENV SERVER_PORT=8080
ENV PROXY_IP=127.0.0.1
ENV PROXY_PORT=8081
ENV RELEASE=20131224
ENV KEY=FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF00000000000000000000000000000000
add fteproxy-arm
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CMD fteproxy --mode $MODE \
--upstream-format $UPSTREAM_FORMAT \
--downstream-format $DOWNSTREAM_FORMAT \
--client_ip $CLIENT_IP \
--client_port $CLIENT_PORT \
--server_ip $SERVER_IP \
--server_port $SERVER_PORT \
--proxy_ip $PROXY_IP \
--proxy_port $PROXY_PORT \
--release $RELEASE \
--key $KEY