Skip to content

Script intended to ease the execution from the command line of commands inside docker containers

License

Notifications You must be signed in to change notification settings

omni-us/docker-command-line-interface

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Version: 2022.12.12

DESCRIPTION

This is a simple script intended to ease the execution from the command line of commands inside docker containers. It makes the execution behave mostly like any other host command. The main characteristics are:

  • Automatic access to user files in the host.
  • Generated files owned by the current user.
  • Support input from stdin and redirection of stderr and stdout.
  • Support of complex command arguments, e.g. spaces, quotes, etc.

The basic system requirement is that docker must be installed and configured to not require sudo.

A new container is created for each call to docker-cli and when execution finishes the container is automatically removed. The command is executed as the current user from the current working directory. Executed commands will only work if it is executed from and referencing only files in the host's /Users, /home, /mnt, /media or /tmp directories.

The interface can also be used to execute external scripts inside the container. For this to work, the script must be located in a directory accessible to the container (see above) and be in a directory in your $DPATH environment variable or be referenced with its full or relative path.

INSTALLATION

By installation it is meant to make the docker-cli command runnable from any location. If you cloned the github repository, it is recommended that you create a symlink from the clone to any directory in your path, i.e.

cd $HOME/.local/bin
ln -s path_to_repo/docker-cli

Copying the script to any directory in your path would also work.

Bash completion:

It is very useful to enable bash completion for example to ease typing of image names and tags. This can be enabled by sourcing the script, though this functionality depends on the docker bash completion, so this one needs to be enabled first. To make it permanent you could add to your .bashrc the following (adapting to your case):

source /usr/share/bash-completion/completions/docker
source $HOME/.local/bin/docker-cli

SYNOPSIS

docker-cli [OPTIONS] -- DOCKER_IMAGE COMMAND ARGUMENTS
docker-cli [OPTIONS] -- DOCKER_IMAGE bash   # Prompt becomes USER_ID@CONTAINER_ID$

OPTIONS

--add-uid                 Run add_uid_to_passwd at startup.
--tmp-home                Create /tmp/HOME directory and set HOME=/tmp/HOME.
--user UID:GID            (default: current user and current directory's group)
--gpus=GPUS               (e.g. all)
--ipc=DOCKER_IPC          (e.g. host)
--publish=LIST            (e.g. 8080:8080)
--cli-debug               Prints the docker run command right before execution.
--help                    Prints this help message and exits.
--version                 Prints the version of docker-cli and exits.

In general most of the options that docker run accepts should work. For more details check docker run --help.

EXAMPLES

# Get the version of some command in the container
docker-cli -- ubuntu:16.04 sed --version

# Container command as part of a pipe
echo 'hello world!' | docker-cli -- ubuntu:16.04 grep hello | xargs echo

# Create files in container
echo 'hello world!' | docker-cli -- ubuntu:16.04 tee test.txt
ls -l test.txt
rm test.txt

# Use of nvidia GPU in container
docker-cli --runtime=nvidia -- nvidia/cuda:10.1-runtime-ubuntu16.04 nvidia-smi  # old format
docker-cli --gpus=all -- nvidia/cuda:10.1-runtime-ubuntu16.04 nvidia-smi

# Run a jupyter notebook in container
docker-cli --publish=8888:8888 -- DOCKER_IMAGE bash
export HOME=$(pwd)
jupyter notebook --ip 0.0.0.0 --no-browser

About

Script intended to ease the execution from the command line of commands inside docker containers

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages