Errors Installing singularity inside dockerfile - docker

I am trying to run a nextflow pipeline which uses an older version of nextflow (21.04.3) and java version 8. Since I have to use this pipeline on a remote server, therefore I can only use singularity.
As this nextflow pipeline also uses singularity pull calls therefore I need the singularity installed inside the docker image as well. Then, I can convert this image docker image to a singularity image and then I can move it to the remote server.
I am trying to install singularity inside dockerfile but I am getting errors,
This is the dockerfile that I am using,
FROM python:3.8.9-slim
LABEL authors="phil.ewels#scilifelab.se,erik.danielsson#scilifelab.se" \
description="Docker image containing requirements for the nfcore tools"
# Do not pick up python packages from $HOME
ENV PYTHONNUSERSITE=1
# Update pip to latest version
RUN python -m pip install --upgrade pip
# Install dependencies
COPY requirements.txt requirements.txt
RUN python -m pip install -r requirements.txt
# Install Nextflow dependencies
RUN apt-get update \
&& apt-get upgrade -y \
&& apt-get install -y git \
&& apt-get install -y wget
# Create man dir required for Java installation
# and install Java
RUN mkdir -p /usr/share/man/man1 \
&& apt-get install -y openjdk-11-jre \
&& apt-get clean -y && rm -rf /var/lib/apt/lists/*
# Install Singularity
RUN wget -O- http://neuro.debian.net/lists/xenial.us-ca.full | tee /etc/apt/sources.list.d/neurodebian.sources.list && \ apt-key adv --recv-keys --keyserver hkp://pool.sks-keyservers.net:80 0xA5D32F012649A5A9 && \ apt-get update
RUN apt-get install -y singularity-container
# Setup ARG for NXF_VER ENV
ARG NXF_VER=""
ENV NXF_VER ${NXF_VER}
# Install Nextflow
RUN wget https://github.com/nextflow- io/nextflow/releases/download/v21.04.3/nextflow | bash \
&& mv nextflow /usr/local/bin \
&& chmod a+rx /usr/local/bin/nextflow
# Add the nf-core source files to the image
COPY . /usr/src/nf_core
WORKDIR /usr/src/nf_core
# Install nf-core
RUN python -m pip install .
# Set up entrypoint and cmd for easy docker usage
CMD [ "." ]
These are the errors I am getting
Step 9/17 : RUN wget -O- http://neuro.debian.net/lists/xenial.us-ca.full | tee
/etc/apt/sources.list.d/neurodebian.sources.list && \ apt-key adv --recv-keys --
keyserver hkp://pool.sks-keyservers.net:80 0xA5D32F012649A5A9 && \ apt-get update
---> Running in afc3dcbbd1ee
--2022-03-17 17:40:19-- http://neuro.debian.net/lists/xenial.us-ca.full
Resolving neuro.debian.net (neuro.debian.net)... 129.170.233.11
Connecting to neuro.debian.net (neuro.debian.net)|129.170.233.11|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 262
Saving to: ‘STDOUT’
0K 100% 18.4M=0s
deb http://neurodeb.pirsquared.org data main contrib non-free
#deb-src http://neurodeb.pirsquared.org data main contrib non-free
deb http://neurodeb.pirsquared.org xenial main contrib non-free
#deb-src http://neurodeb.pirsquared.org xenial main contrib non-free
2022-03-17 17:40:19 (18.4 MB/s) - written to stdout [262/262]
/bin/sh: 1: apt-key: not found
The command '/bin/sh -c wget -O- http://neuro.debian.net/lists/xenial.us-ca.full | tee /etc/apt/sources.list.d/neurodebian.sources.list && \ apt-key adv --recv-keys --keyserver hkp://pool.sks-keyservers.net:80 0xA5D32F012649A5A9 && \ apt-get update'
returned a non-zero code: 127
I there a way to install singularity using a dockerfile ?
Thanks

I made some changes in the dockerfile based on the method to install singularity in linux given here.
The complete dockerfile with which I was able to run successfully nextflow, java and singularity within singularity is given below,
FROM python:3.8.9-slim
LABEL
authors="phil.ewels#scilifelab.se,erik.danielsson#scilifelab.se" \
description="Docker image containing requirements for the nfcore tools"
# Do not pick up python packages from $HOME
ENV PYTHONNUSERSITE=1
# Update pip to latest version
RUN python -m pip install --upgrade pip
# Install dependencies
COPY requirements.txt requirements.txt
RUN python -m pip install -r requirements.txt
# Install Nextflow dependencies
RUN apt-get update \
&& apt-get upgrade -y \
&& apt-get install -y git \
&& apt-get install -y wget
# Create man dir required for Java installation
# and install Java
RUN mkdir -p /usr/share/man/man1 \
&& apt-get install -y openjdk-11-jre \
&& apt-get clean -y && rm -rf /var/lib/apt/lists/*
# Install Singularity
RUN apt-get update && apt-get install -y \
build-essential \
libssl-dev \
uuid-dev \
libgpgme11-dev \
squashfs-tools \
libseccomp-dev \
wget \
pkg-config \
procps
# Download Go source version 1.16.3, install them and modify the PATH
ENV VERSION=1.16.3
ENV OS=linux
ENV ARCH=amd64
RUN wget https://dl.google.com/go/go$VERSION.$OS-$ARCH.tar.gz && \
tar -C /usr/local -xzvf go$VERSION.$OS-$ARCH.tar.gz && \
rm go$VERSION.$OS-$ARCH.tar.gz && \
echo 'export PATH=$PATH:/usr/local/go/bin' | tee -a /etc/profile
# Download Singularity from version 3.7.3 (security version)
ENV VERSION=3.7.3
RUN wget https://github.com/sylabs/singularity/releases/download/v${VERSION}/singularity-${VERSION}.tar.gz && \
tar -xzf singularity-${VERSION}.tar.gz
# Compile Singularity sources and install it
RUN export PATH=$PATH:/usr/local/go/bin && \
cd singularity && \
./mconfig --without-suid && \
make -C ./builddir && \
make -C ./builddir install
# Setup ARG for NXF_VER ENV
ARG NXF_VER=""
ENV NXF_VER ${NXF_VER}
# Install Nextflow
RUN wget https://github.com/nextflow-io/nextflow/releases/download/v21.04.3/nextflow | bash \
&& mv nextflow /usr/local/bin \
&& chmod a+rx /usr/local/bin/nextflow
# Add the nf-core source files to the image
COPY . /usr/src/nf_core
WORKDIR /usr/src/nf_core
# Install nf-core
RUN python -m pip install .
# Set up entrypoint and cmd for easy docker usage
CMD [ "." ]
The file named requirements.txt used in the above dockerfile is given below,
click
GitPython
jinja2
jsonschema
packaging
prompt_toolkit>=3.0.3
pyyaml
pytest-workflow
questionary>=1.8.0
requests_cache
requests
rich>=10.0.0
tabulate

Related

Create a Docker container for Machine Learning

I'm not a Docker expert and I'm trying to create a container for machine learning projects. This is mostly for academic purpose, as I'm studying machine learning.
I wrote a dockerfile (and a devcontainer.json file to open the container in vscode) that runs fine until I add the lines to build tensorflow. I found three problems but I don't know what I'm missing:
I got a warning about the fact that Bazel installation isn't a release version
When the building phase arrives at ./configure I can't configure through prompt question
I got an error at the very building phase with
ERROR: The project you're trying to build requires Bazel 5.3.0 (specified in /docklearning/tensorflow/.bazelversion), but it wasn't found in /usr/bin.
This is the Dockerfile:
FROM nvidia/cuda:12.0.0-runtime-ubuntu22.04 as base
ARG USER_UID=1000
#switch to non-interactive frontend
ENV DEBIAN_FRONTEND=noninteractive
WORKDIR /docklearning
ADD . /docklearning
# Install packages
RUN apt-get update -q && apt-get install -q -y --no-install-recommends \
apt-transport-https curl gnupg apt-utils wget gcc g++ npm unzip build-essential ca-certificates curl git gh \
make nano iproute2 nano openssh-client openssl procps \
software-properties-common bzip2 subversion neofetch \
fontconfig && \
curl -fsSL https://bazel.build/bazel-release.pub.gpg | gpg --dearmor >bazel-archive-keyring.gpg && \
mv bazel-archive-keyring.gpg /usr/share/keyrings && \
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/bazel-archive-keyring.gpg] https://storage.googleapis.com/bazel-apt stable jdk1.8" \
| tee /etc/apt/sources.list.d/bazel.list && \
apt update && apt install -q -y bazel && \
apt-get full-upgrade -q -y && \
cd ~ && \
wget https://github.com/ryanoasis/nerd-fonts/releases/download/v2.1.0/Meslo.zip && \
mkdir -p .local/share/fonts && \
unzip Meslo.zip -d .local/share/fonts && \
cd .local/share/fonts && rm *Windows* && \
cd ~ && \
rm Meslo.zip && \
fc-cache -fv && \
apt-get install -y zsh zsh-doc chroma
# Install anaconda
RUN wget https://repo.anaconda.com/archive/Anaconda3-2022.10-Linux-x86_64.sh -O Anaconda.sh && \
/bin/bash Anaconda.sh -b -p /opt/conda && \
rm Anaconda.sh
# Install LSD for ls substitute and clean up
RUN wget https://github.com/Peltoche/lsd/releases/download/0.23.1/lsd_0.23.1_amd64.deb -P /tmp && \
dpkg -i /tmp/lsd_0.23.1_amd64.deb && \
rm /tmp/lsd_0.23.1_amd64.deb && \
apt-get autoremove -y && \
apt-get autoclean && \
rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*/apt/lists/* && \
useradd -r -m -s /bin/bash -u ${USER_UID} docklearning
# Add conda to PATH
ENV PATH=/opt/conda/bin:$PATH
ENV HOME=/home/docklearning
# Make zsh default shell
RUN chsh -s /usr/bin/zsh docklearning
# link conda to /etc/profile.d
RUN ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh
# Update Conda Base env
RUN conda update -n base --all -y && \
conda install -c conda-forge bandit opt_einsum keras-preprocessing && \
conda clean -a -q -y
# Download Tensorflow from github and build from source
RUN git clone https://github.com/tensorflow/tensorflow.git && \
cd tensorflow && \
./configure && \
bazel build --config=opt --config=cuda --cxxopt="-mavx2" //tensorflow/tools/pip_package:build_pip_package && \
./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg && \
pip install /tmp/tensorflow_pkg/tensorflow-*.whl && \
cd .. && \
rm -rf tensorflow
# Create shell history file
RUN mkdir ${HOME}/zsh_history && \
chown docklearning ${HOME}/zsh_history && \
mkdir ${HOME}/.ssh
# Switch to internal user
USER docklearning
WORKDIR ${HOME}
# Copy user configuration files
COPY --chown=docklearning ./config/.aliases.sh ./
COPY --chown=docklearning ./config/.bashrc ./
COPY --chown=docklearning ./config/.nanorc ./
# Configure Zsh for internal user
ENV ZSH=${HOME}/.oh-my-zsh
ENV ZSH_CUSTOM=${ZSH}/custom
ENV ZSH_PLUGINS=${ZSH_CUSTOM}/plugins
ENV ZSH_THEMES=${ZSH_CUSTOM}/themes
RUN wget -qO- https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh | zsh || true
RUN git clone --single-branch --branch 'master' --depth 1 https://github.com/zsh-users/zsh-syntax-highlighting.git ${ZSH_PLUGINS}/zsh-syntax-highlighting \
&& git clone --single-branch --branch 'master' --depth 1 https://github.com/zsh-users/zsh-autosuggestions ${ZSH_PLUGINS}/zsh-autosuggestions \
&& git clone --single-branch --depth 1 https://github.com/romkatv/powerlevel10k.git ${ZSH_THEMES}/powerlevel10k
COPY --chown=docklearning ./config/.p10k.zsh ./
COPY --chown=docklearning ./config/.zshrc ./
CMD [ "/bin/zsh" ]
I wouldn't say this question about docker or TensorFlow. It is about package installation and OS configuration.
In this case, you need to fix the bazel version first by specifying it explicitly:
apt install -q -y bazel-5.3.0
But that package is quite wired and doesn't create a symlink, so you need to create it:
ln -s /bin/bazel-5.3.0 /bin/bazel
You can validate if bazel installed by running it:
`bazel --version
bazel 5.3.0`

save plotly images from Rstudio in docker, get error ! System command 'orca' failed

I have RStudio in docker, and am trying to save a plotly image using orca. I installed orca following Docker and Plotly.
I build and start successfully, and to check if I can save an image I run:
library(plotly)
library(processx)
fig <- plot_ly(z = ~volcano) %>% add_surface()
orca(fig,"t.png")
Whereupon I receive the following error:
Error in `processx::run("orca", "-h")`:
! System command 'orca' failed
---
Exit status: 127
Stderr: <empty>
---
Type .Last.error to see the more details.
Warning message:
'orca' is deprecated.
Use 'kaleido' instead.
See help("Deprecated")
> .Last.error
<system_command_status_error/rlib_error_3_0/rlib_error/error>
Error in `processx::run("orca", "-h")`:
! System command 'orca' failed
---
Exit status: 127
Stderr: <empty>
---
Backtrace:
1. plotly::orca(fig, "t.png")
2. plotly:::orca_available()
3. plotly:::correct_orca()
4. processx::run("orca", "-h")
5. processx:::throw(new_process_error(res, call = sys.call(), echo = echo, …
>
Is there another way to install orca, or save a plotly image in RStudio running in docker?
My full dockerfile:
FROM rocker/verse
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get install -y --no-install-recommends build-essential libpq-dev python3.9 python3-pip python3-setuptools python3-dev
RUN pip3 install --upgrade pip
ADD . ./home/rstudio
ADD requirements.txt .
ADD install_packages.r .
# Miniconda and dependencies
RUN cd /tmp/ && \
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
bash Miniconda3-latest-Linux-x86_64.sh -b -p $HOME/miniconda3 && \
/root/miniconda3/condabin/conda install -y python=3.7
ENV PATH=$PATH:/root/miniconda3/bin
#RUN npm install phantomjs-prebuilt --phantomjs_cdnurl=http://cnpmjs.org/downloads
# installing python libraries
RUN pip3 install -r requirements.txt
# installing r libraries
RUN Rscript install_packages.r
RUN if ! [[ "16.04 18.04 20.04 21.04 21.10" == *"$(lsb_release -rs)"* ]]; \
then \
echo "Ubuntu $(lsb_release -rs) is not currently supported."; \
exit; \
fi
RUN sudo su
RUN apt-get update && apt-get install -y gnupg2
RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
RUN curl https://packages.microsoft.com/config/ubuntu/$(lsb_release -rs)/prod.list > /etc/apt/sources.list.d/mssql-release.list
RUN exit
RUN sudo apt-get update
RUN sudo ACCEPT_EULA=Y apt-get install -y msodbcsql17
RUN chmod -R 777 /home/rstudio
# Download orca AppImage, extract it, and make it executable under xvfb
RUN apt-get install --yes xvfb libgconf-2-4
RUN wget https://github.com/plotly/orca/releases/download/v1.1.1/orca-1.1.1-x86_64.AppImage -P /home
RUN chmod 777 /home/orca-1.1.1-x86_64.AppImage
# To avoid the need for FUSE, extract the AppImage into a directory (name squashfs-root by default)
RUN cd /home && /home/orca-1.1.1-x86_64.AppImage --appimage-extract
RUN printf '#!/bin/bash \nxvfb-run --auto-servernum --server-args "-screen 0 640x480x24" /home/squashfs-root/app/orca "$#"' > /usr/bin/orca
RUN chmod 777 /usr/bin/orca
RUN chmod -R 777 /home/squashfs-root/

Conda not found when trying to build Docker image

I've made the following Docker container for Plink and Peddy, but whenever I try to build the container, I'm getting the following error:
Executing transaction: ...working... WARNING conda.core.envs_manager:register_env(46): Unable to register environment. Path not writable or missing.
environment location: /root/identity_check/anaconda
registry file: /root/.conda/environments.txt
done
installation finished.
Removing intermediate container cdf60f5bf1a5
---> be254b7571be
Step 7/10 : RUN conda update -y conda && conda config --add channels bioconda && conda install -y peddy
---> Running in aa2e91da28b4
/bin/sh: 1: conda: not found
The command '/bin/sh -c conda update -y conda && conda config --add channels bioconda && conda install -y peddy' returned a non-zero code: 127
Dockerfile:
FROM ubuntu:19.04
WORKDIR /identity_check
RUN apt-get update && \
apt-get install -y \
python-pip \
tabix \
wget \
unzip
RUN apt-get update && apt-get install -y sudo && rm -rf /var/lib/apt/lists/* \
&& sudo apt-get -y update \
&& sudo pip install --upgrade pip \
&& sudo pip install awscli --upgrade --user \
&& sudo pip install boto3 \
&& sudo pip install pyyaml \
&& sudo pip install sqlitedict
# Install PLINK
RUN wget http://s3.amazonaws.com/plink1-assets/plink_linux_x86_64_20190617.zip \
&& mv plink_linux_x86_64_20190617.zip /usr/local/bin/ \
&& unzip /usr/local/bin/plink_linux_x86_64_20190617.zip
# Install Peddy
RUN INSTALL_PATH=~/anaconda \
&& wget http://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh \
&& bash Miniconda2-latest* -fbp $INSTALL_PATH \
&& PATH=$INSTALL_PATH/bin:$PATH
RUN conda update -y conda \
&& conda config --add channels bioconda \
&& conda install -y peddy
ENV PATH=$PATH:/identity_check/
ADD . /identity_check
CMD bash /identity_check/identity_setup.sh
I've tried changing the INSTALL_PATH and seeing if that makes a difference and even launched a virtual machine to test out these installation steps manually and it works fine. I don't understand why conda isn't found.
# Install Peddy
RUN INSTALL_PATH=~/anaconda \
&& wget http://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh \
&& bash Miniconda2-latest* -fbp $INSTALL_PATH \
&& PATH=$INSTALL_PATH/bin:$PATH
The last part of the above updates a PATH variable that will only exist in the shell running the command. That shell exits immediately after setting the PATH variable, and the temporary container used to execute the RUN command exits. The result of the RUN command is to gather the filesystem changes into a layer of the docker image being created. Any environment variable changes, background processes launched, or anything else not part of the container filesystem is lost.
Instead, you'll want to update the image environment with:
# Install Peddy
RUN INSTALL_PATH=~/anaconda \
&& wget http://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh \
&& bash Miniconda2-latest* -fbp $INSTALL_PATH \
ENV PATH=/root/anaconda/bin:$PATH
If the software permits it, I would avoid installing in the /root home directory and instead install it somewhere like /usr/local/bin, making it available if you change the container to run as a different user.

Why docker-compose build start from begining

For example.
Every time I build.
Copy package.json
Install package.json
Add current directory.
My question is:
Why it does not use from the cache. For example, It should not install the package.json from the start if the package.json does not change.
It should use the cache and update only the changes code.
Update:
Dockerfile
FROM ubuntu:18.04
RUN rm /bin/sh && ln -s /bin/bash /bin/sh
RUN apt-get update && apt-get upgrade -y \
&& apt-get install -y --no-install-recommends \
build-essential \
ca-certificates \
gcc \
git \
libpq-dev \
make \
python-pip \
python2.7 \
python2.7-dev \
apt-transport-https \
curl \
g++ \
sudo \
wget \
bzip2 \
chrpath \
libssl-dev \
libxft-dev \
libfreetype6 \
libfreetype6-dev \
libfontconfig1 \
libfontconfig1-dev \
libfontconfig \
poppler-utils \
imagemagick \
&& apt-get clean \
&& rm -rf /tmp/* /var/lib/apt/lists/* \
&& apt-get -y autoclean
RUN apt-get update && apt-get install -y --no-install-recommends software-properties-common && add-apt-repository ppa:malteworld/ppa && apt update && apt install -y --no-install-recommends pdftk \
&& apt-get clean \
&& rm -rf /tmp/* /var/lib/apt/lists/* \
&& apt-get -y autoclean
ENV NVM_DIR /usr/local/nvm
ENV NODE_VERSION 10.6.0
# Install nvm with node and npm
RUN curl -o- https://raw.githubusercontent.com/creationix/nvm/v0.29.0/install.sh | bash \
&& source $NVM_DIR/nvm.sh \
&& nvm install $NODE_VERSION \
&& nvm alias default $NODE_VERSION \
&& nvm use default
# Set up our PATH correctly so we don't have to long-reference npm, node, &c.
ENV NODE_PATH $NVM_DIR/versions/node/v$NODE_VERSION/lib/node_modules
ENV PATH $NVM_DIR/versions/node/v$NODE_VERSION/bin:$PATH
# Set the work directory
RUN mkdir -p /var/www/app/jobsaf-website
RUN mkdir /data
RUN mkdir /data/db
WORKDIR /var/www/app/jobsaf-website
RUN npm install -g node-gyp #angular/cli#6.2.3 nodemon request
# Add our package.json and install *before* adding our application files
COPY package.json ./
# RUN npm install --force
RUN npm install --force
RUN npm rebuild node-sass
# Add application files
ADD . .
EXPOSE 3000 5858 4200 35729 27017 6379 49153
.dockerignore
# See http://help.github.com/ignore-files/ for more about ignoring files.
# compiled output
/tmp
/public/__build__/
/src/*/__build__/
/__build__/**
/public/dist/
/src/*/dist/
/dist/**
/.awcache
.webpack.json
/compiled/
dll/
package-lock.json
# dependencies
/node_modules
*/node_modules
# IDEs and editors
/.idea
.project
.classpath
.c9/
*.launch
**.js.map
.settings/
# IDE - VSCode
.vscode/
# misc
/.sass-cache
/connect.lock
/coverage/*
/libpeerconnection.log
npm-debug.log
testem.log
/typings
# e2e
/e2e/*.js
/e2e/*.map
#System Files
.DS_Store
Thumbs.db
*.csv
*.dat
*.iml
*.log
*.out
*.pid
*.seed
*.sublime-*
*.swo
*.swp
*.tgz
*.xml
.strong-pm
coverage
npm-debug*
/admin/dist
npm
/.cache-loader/*
stats.json
!/src/assets/js/admin-header.js
!/src/assets/js/website-custom.js
webpack-cache/
web/
/src/app/**/*.map
/src/app/**/*.js
--force should be removed from the following line as it will ignore any cache and do a fresh installation for your packages which leads to a new docker build layer starting from the installation step.
RUN npm install --force
The -f or --force argument will force npm to fetch remote resources even if a local copy exists on disk.

docker run error: Unable to access jarfile

Docker image is built but when I want to run it, it shows this error:
Error: Unable to access jarfile rest-service-1.0.jar
My OS is Ubuntu 18.04.1 LTS and I use docker build -t doc-service & docker run doc-service.
This is my Dockerfile:
FROM ubuntu:16.04
MAINTAINER Frederico Apostolo <frederico.apostolo#blockfactory.com> (#fapostolo)
RUN apt-get update && apt-get -y upgrade
RUN apt-get install -y software-properties-common python-software-properties language-pack-en-base
RUN add-apt-repository ppa:webupd8team/java
RUN apt-get update && apt-get update --fix-missing && apt-get -y --allow-downgrades --allow-remove-essential --allow-change-held-packages upgrade \
&& echo oracle-java8-installer shared/accepted-oracle-license-v1-1 select true | /usr/bin/debconf-set-selections \
&& apt-get install -y --allow-downgrades --allow-remove-essential --allow-change-held-packages curl vim unzip wget oracle-java8-installer \
&& apt-get clean && rm -rf /var/cache/* /var/lib/apt/lists/*
ENV JAVA_HOME /usr/lib/jvm/java-8-oracle/
run java -version
run echo $JAVA_HOME
#use locate for debug
RUN apt-get update && apt-get install -y locate mlocate && updatedb
#LIBREOFFICE START
RUN apt-get update && apt-get update --fix-missing && apt-get install -y -q libreoffice \
libreoffice-writer ure libreoffice-java-common libreoffice-core libreoffice-common \
fonts-opensymbol hyphen-fr hyphen-de hyphen-en-us hyphen-it hyphen-ru fonts-dejavu \
fonts-dejavu-core fonts-dejavu-extra fonts-noto fonts-dustin fonts-f500 fonts-fanwood \
fonts-freefont-ttf fonts-liberation fonts-lmodern fonts-lyx fonts-sil-gentium \
fonts-texgyre fonts-tlwg-purisa
#LIBREOFFICE END
#font configuration
COPY 00-odt-template-renderer-fontconfig.conf /etc/fonts/conf.d
RUN mkdir /document-service /document-service/fonts /document-service/module /document-service/logs
# local settings
RUN echo "127.0.0.1 http://www.arbs.local http://arbs.local www.arbs.local arbs.local" >> /etc/hosts
# && mkdir /logs/ && echo "dummy" >> /logs/errors.log
#EXPOSE 2115
COPY document-service-java_with_user_arg.sh /
RUN chmod +x /document-service-java_with_user_arg.sh
RUN apt-get update && apt-get -y --no-install-recommends install \
ca-certificates \
curl
RUN gpg --keyserver ha.pool.sks-keyservers.net --recv-keys B42F6819007F00F88E364FD4036A9C25BF357DD4
RUN curl -o /usr/local/bin/gosu -SL "https://github.com/tianon/gosu/releases/download/1.4/gosu-$(dpkg --print-architecture)" \
&& curl -o /usr/local/bin/gosu.asc -SL "https://github.com/tianon/gosu/releases/download/1.4/gosu-$(dpkg --print-architecture).asc" \
&& gpg --verify /usr/local/bin/gosu.asc \
&& rm /usr/local/bin/gosu.asc \
&& chmod +x /usr/local/bin/gosu
ENV LANG="en_US.UTF-8"
# In case someone loses the Dockerfile
# Needs to be in the end so it doesn't invalidate unaltered cache whenever the file is updated.
RUN rm -rf /etc/Dockerfile
ADD Dockerfile /etc/Dockerfile
ENTRYPOINT ["/document-service-java_with_user_arg.sh"]
this is document-service-java_with_user_arg.sh:
#!/bin/bash
USER_ID=${LOCAL_USER_ID:-9001}
USER_NAME=${LOCAL_USER_NAME:-jetty}
echo "Starting user: $USER_NAME with UID : $USER_ID"
useradd --shell /bin/bash --home-dir /document-service/dockerhome --non-unique --uid $USER_ID $USER_NAME
cd /document-service
/usr/local/bin/gosu $USER_NAME "$#" java -jar rest-service-1.0.jar
Can anyone help me on this?
Based on the comments, you must add the JAR when building the image by defining in your Dockerfile :
COPY rest-service-1.0.jar /document-service/rest-service-1.0.jar
You could also just use :
COPY rest-service-1.0.jar /rest-service-1.0.jar
, and remove cd /document-service in your entrypoint script, as on ubuntu:16.04 images, default working directory is /. My opinion is that setting the working directory in the script is safer, so you should just go for the first solution.
Note that you could also use ADD instead of COPY (as you already did in your Dockerfile), but here only COPY is necessary (read this post if you want more info : What is the difference between the `COPY` and `ADD` commands in a Dockerfile?).
Finally, I suggest you to add the COPY line at the end of your Dockerfile, so that if a new JAR is built, image won't be rebuilt from scratch but from an existing layer, speeding up build time.
it looking error about workdir
you must select workdir for this copy format
try WORKDIR /yourpath/

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