I am trying to mount the current working directory onto Docker container but isn't working. Here is my Dockerfile
FROM ubuntu:14.04.3
MAINTAINER Upendra Devisetty
RUN apt-get update && apt-get install -y g++ \
make \
git \
zlib1g-dev \
python \
wget \
curl \
python-matplotlib
ENV BINPATH /usr/bin
ENV HISAT2GIT https://upendra_35#bitbucket.org/upendra_35/evolinc.git
RUN git clone "$HISAT2GIT"
RUN chmod +x evolinc/evolinc-part-I.sh && cp evolinc/evolinc-part-I.sh $BINPATH
RUN wget -O- http://cole-trapnell-lab.github.io/cufflinks/assets/downloads/cufflinks-2.2.1.Linux_x86_64.tar.gz | tar xzvf -
RUN wget -O- https://github.com/TransDecoder/TransDecoder/archive/2.0.1.tar.gz | tar xzvf -
RUN wget -O- http://seq.cs.iastate.edu/CAP3/cap3.linux.x86_64.tar | tar vfx -
RUN curl ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST/ncbi-blast-2.2.31+-x64-linux.tar.gz > ncbi-blast-2.2.31+-x64-linux.tar.gz
RUN tar xvf ncbi-blast-2.2.31+-x64-linux.tar.gz
RUN wget -O- http://ftp.mirrorservice.org/sites/download.sourceforge.net/pub/sourceforge/q/qu/quast/quast-3.0.tar.gz | tar zxvf -
RUN curl -L http://cpanmin.us | perl - App::cpanminus
RUN cpanm URI/Escape.pm
ENV PATH /CAP3/:$PATH
ENV PATH /ncbi-blast-2.2.31+/bin/:$PATH
ENV PATH /quast-3.0/:$PATH
ENV PATH /cufflinks-2.2.1.Linux_x86_64/:$PATH
ENV PATH /TransDecoder-2.0.1/:$PATH
ENTRYPOINT ["/usr/bin/evolinc-part-I.sh"]
CMD ["-h"]
When i run the following to mount the current working directory to make sure everything is doing ok, what i see is that all those dependencies are getting installed in the current working directory.
docker run --rm -v $(pwd):/working-dir -w /working-dir ubuntu/evolinc:2.0 -c cuffcompare_out_annot_no_annot.combined.gtf -g Brassica_rapa_v1.2_genome.fa -r Brassica_rapa_v1.2_cds.fa -b TE_RNA_transcripts.fa
I thought, they should only be installed on the container and only the output is going to generate in the current working directory. Sorry, i am very new to Docker and i would need some help with this....
Mouting a volume in docker (-v) allows a container to share directories/volumes with the host. Therefore when changing the volume you are in fact changing the mounted directory. If you wanted to copy some files, rather than point at them, you may need to build your own container and use the COPY or ADD instructions.
What is the difference between the `COPY` and `ADD` commands in a Dockerfile?
Related
I built a docker image using Dockerfile with Python and some libraries inside (no my project code inside). In my local work dir, there are some scripts to be run on the docker. So, here what I did
$ cd /path/to/my_workdir
$ docker run -it --name test -v `pwd`:`pwd` -w `pwd` my/code:test python src/main.py --config=test --results-dir=/home/me/Results
The command python src/main.py --config=test --results-dir=/home/me/Results is what I want to run inside the Docker container.
However, it returns,
/home/docker/miniconda3/bin/python: /home/docker/miniconda3/bin/python: cannot execute binary file
How can I fix it and run my code?
Here is my Dockerfile
FROM nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
MAINTAINER Me <me#me.com>
RUN apt update -yq && \
apt install -yq curl wget unzip git vim cmake sudo
RUN adduser --disabled-password --gecos '' docker && \
adduser docker sudo && \
echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers
USER docker
WORKDIR /home/docker/
RUN chmod a+rwx /home/docker/ && \
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
bash Miniconda3-latest-Linux-x86_64.sh -b && rm Miniconda3-latest-Linux-x86_64.sh
ENV PATH /home/docker/miniconda3/bin:$PATH
Run pip install absl-py==0.5.0 atomicwrites==1.2.1 attrs==18.2.0 certifi==2018.8.24 chardet==3.0.4 cycler==0.10.0 docopt==0.6.2 enum34==1.1.6 future==0.16.0 idna==2.7 imageio==2.4.1 jsonpickle==1.2 kiwisolver==1.0.1 matplotlib==3.0.0 mock==2.0.0 more-itertools==4.3.0 mpyq==0.2.5 munch==2.3.2 numpy==1.15.2 pathlib2==2.3.2 pbr==4.3.0 Pillow==5.3.0 pluggy==0.7.1 portpicker==1.2.0 probscale==0.2.3 protobuf==3.6.1 py==1.6.0 pygame==1.9.4 pyparsing==2.2.2 pysc2==3.0.0 pytest==3.8.2 python-dateutil==2.7.3 PyYAML==3.13 requests==2.19.1 s2clientprotocol==4.10.1.75800.0 sacred==0.8.1 scipy==1.1.0 six==1.11.0 sk-video==1.1.10 snakeviz==1.0.0 tensorboard-logger==0.1.0 torch==0.4.1 torchvision==0.2.1 tornado==5.1.1 urllib3==1.23
USER docker
ENTRYPOINT ["/bin/bash"]
Try making the file executable before running it.
as John mentioned to do in the dockerfile
FROM python:latest
COPY src/main.py /usr/local/share/
RUN chmod +x /usr/local/share/src/main.py #<-**--- just add this also
# I have some doubts about the pathing
CMD ["/usr/local/share/src/main.py", "--config=test --results-dir=/home/me/Results"]
You can run a python script in docker by adding this to your docker file:
FROM python:latest
COPY src/main.py /usr/local/share/
CMD ["src/main.py", "--config=test --results-dir=/home/me/Results"]
I am struggling with permissions on docker volume, I get access denied for writing.
This is a small part of my docker file
FROM ubuntu:18.04
RUN apt-get update && \
apt-get install -y \
apt-transport-https \
build-essential \
ca-certificates \
curl \
vim && \............
RUN curl -sL https://deb.nodesource.com/setup_8.x | bash - && apt-get install -y nodejs
# Add non-root user
ARG USER=user01
RUN useradd -Um -d /home/$USER -s /bin/bash $USER && \
apt install -y python3-pip && \
pip3 install qrcode[pil]
#Copy that startup.sh into the scripts folder
COPY /scripts/startup.sh /scripts/startup.sh
#Making the startup.sh executable
RUN chmod -v +x /scripts/startup.sh
#Copy node API files
COPY --chown=user1 /node_api/* /home/user1/
USER $USER
WORKDIR /home/$USER
# Expose needed ports
EXPOSE 3000
VOLUME /data_storage
ENTRYPOINT [ "/scripts/startup.sh" ]
Also a small part of my startup.sh
#!/bin/bash
/usr/share/lib/provision.py --enterprise-seed $ENTERPRISE_SEED > config.json
Then my docker builds command:
sudo docker build -t mycontainer .
And the docker run command:
sudo docker run -v data_storage:/home/user01/.client -p 3008:3000 -itd mycontainer
The problem I have is that the Python script will create the folder: /home/user01/.client and it will copy some files in there. That always worked fine. But now I want those files, which are data files, in a volume for backup porpuses. And as I am mapping with my volume I get permissions denied, so the python script is not able to write anymore.
So at the end of my dockerfile this instructions combined with the mapping in the docker run command give me the permission denied:
VOLUME /data_storage
Any suggestions on how to resolve this? some more permissions needed for the "user01"?
Thanks
I was able to resolve my issue by removing the "volume" command from the dockerfile and just doing the mapping at the moment of executing the docker run:
sudo docker run -v data_storage:/home/user01/.client -p 3008:3000 -itd mycontainer
I'm writting a Dockerfile in order to create an image for a web server (a shiny server more precisely). It works well, but it depends on a huge database folder (db/) that it is not distributed with the package, so I want to do all this preprocessing while creating the image, by running the corresponding script in the Dockerfile.
I expected this to be simple, but I'm struggling figuring out where my files are being located within the image.
This repo has the following structure:
Dockerfile
preprocessing_files
configuration_files
app/
application_files
db/
processed_files
So that app/db/ does not exist, but is created and filled with files when preprocessing_files are run.
The Dockerfile is the following:
# Install R version 3.6
FROM r-base:3.6.0
# Install Ubuntu packages
RUN apt-get update && apt-get install -y \
sudo \
gdebi-core \
pandoc \
pandoc-citeproc \
libcurl4-gnutls-dev \
libcairo2-dev/unstable \
libxml2-dev \
libxt-dev \
libssl-dev
# Download and install ShinyServer (latest version)
RUN wget --no-verbose https://s3.amazonaws.com/rstudio-shiny-server-os-build/ubuntu-12.04/x86_64/VERSION -O "version.txt" && \
VERSION=$(cat version.txt) && \
wget --no-verbose "https://s3.amazonaws.com/rstudio-shiny-server-os-build/ubuntu-12.04/x86_64/shiny-server-$VERSION-amd64.deb" -O ss-latest.deb && \
gdebi -n ss-latest.deb && \
rm -f version.txt ss-latest.deb
# Install R packages that are required
RUN R -e "install.packages(c('shiny', 'flexdashboard','rmarkdown','tidyverse','plotly','DT','drc','gridExtra','fitdistrplus'), repos='http://cran.rstudio.com/')"
# Copy configuration files into the Docker image
COPY shiny-server.conf /etc/shiny-server/shiny-server.conf
COPY /app /srv/shiny-server/
COPY /app/db /srv/shiny-server/app/
# Make the ShinyApp available at port 80
EXPOSE 80
CMD ["/usr/bin/shiny-server"]
This above file works well if preprocessing_files are run in advance, so app/application_files can successfully read app/db/processed_files. How could this script be run in the Dockerfile? To me the intuitive solution would be simply to write:
RUN bash -c "preprocessing.sh"
Before the ADD instruction, but then preprocessing_files are not found. If the above instruction is written below ADD and also WORKDIR app/, the same error happens. I cannot understand why.
You cannot execute code on the host machine from Dockerfile. RUN command executes inside the container being built. You can:
Copy preprocessing_files inside docker container and run preprocessing.sh inside the container (this would increase size of the container)
Create a makefile/build.sh script which launches preprocessing.sh before executing docker build
I use the following dockerfile and when I build and run it I got error that **unknown command cf**, I set the env and I expected that when I run cf -v it will print the version,what it could be ?
FROM golang:1.10.5
ENV CF_CLI_VERSION "6.40.0"
RUN ln -s /lib/ /lib64
RUN apt-get update && apt-get install curl -y
ENV CF_HOME=/usr/local/bin
RUN curl -L "https://cli.run.pivotal.io/stable?release=linux64-binary&version=${CF_CLI_VERSION}" | tar -zx -C /usr/local/
You probably want to change the last line to
RUN curl -L "https://cli.run.pivotal.io/stable?release=linux64-binary&version=${CF_CLI_VERSION}" | tar -zx -C /usr/local/bin
/usr/local is not in the PATH by default
I'm trying to learn Synatxnet. I have it running through Docker. But I really dont know much about either program Synatxnet or Docker. On the Github Sytaxnet page it says
The SyntaxNet models are configured via a combination of run-time
flags (which are easy to change) and a text format TaskSpec protocol
buffer. The spec file used in the demo is in
syntaxnet/models/parsey_mcparseface/context.pbtxt.
How exactly do I find the spec file to edit it?
I compiled SyntaxNet in a Docker container using these Instructions.
FROM java:8
ENV SYNTAXNETDIR=/opt/tensorflow PATH=$PATH:/root/bin
RUN mkdir -p $SYNTAXNETDIR \
&& cd $SYNTAXNETDIR \
&& apt-get update \
&& apt-get install git zlib1g-dev file swig python2.7 python-dev python-pip -y \
&& pip install --upgrade pip \
&& pip install -U protobuf==3.0.0b2 \
&& pip install asciitree \
&& pip install numpy \
&& wget https://github.com/bazelbuild/bazel/releases/download/0.2.2b/bazel-0.2.2b-installer-linux-x86_64.sh \
&& chmod +x bazel-0.2.2b-installer-linux-x86_64.sh \
&& ./bazel-0.2.2b-installer-linux-x86_64.sh --user \
&& git clone --recursive https://github.com/tensorflow/models.git \
&& cd $SYNTAXNETDIR/models/syntaxnet/tensorflow \
&& echo "\n\n\n" | ./configure \
&& apt-get autoremove -y \
&& apt-get clean
RUN cd $SYNTAXNETDIR/models/syntaxnet \
&& bazel test --genrule_strategy=standalone syntaxnet/... util/utf8/...
WORKDIR $SYNTAXNETDIR/models/syntaxnet
CMD [ "sh", "-c", "echo 'Bob brought the pizza to Alice.' | syntaxnet/demo.sh" ]
# COMMANDS to build and run
# ===============================
# mkdir build && cp Dockerfile build/ && cd build
# docker build -t syntaxnet .
# docker run syntaxnet
First, comment out the command line in the dockerfile, then create and cd into an empty directory on your host machine. You can then create a container from the image, mounting a directory in the container to your hard-drive:
docker run -it --rm -v /pwd:/tmp bash
You'll now have a bash session in the container. Copy the spec file into /tmp from /opt/tensorflow/syntaxnet/models/parsey_mcparseface/context.pbtxt (I'm guessing that's where it is given the info you've provided above -- I can't get your dockerfile to build an image so I can't confirm it; you can always run find . -name context.pbtxt from root to find it), and exit the container (ctrl-d or exit).
You now have the file on your host's hd ready to edit, but you really want it in a running container. If the directory it comes from contains only that file, then you can simply mount your host directory at that path in the container. If it contains other things, then you can use a, so called, bootstrap script to move the file from your mounted directory (in the example above, that's tmp) to its home location. Alternatively, you may be able to tell the software where to find the spec file with a flag, but that will take more research.