With its focus on enterprise use, it’s probably with good reason that the Docker folk aren’t that interested in exploring the role that Docker may have to play as a technology that supports the execution of desktop applications, or at least, applications for desktop users. (The lack of significant love for Kitematic seems to be representative of that.)
But I think that’s a shame; because for educational and scientific/research applications, docker can be quite handy as a way of packaging software that ultimately presents itself using a browser based user interface delivered over http, as I’ve demonstrated previously in the context of Jupyter notebooks, OpenRefine, RStudio, R Shiny apps, linked applications and so on.
I’ve also shown how we can use Docker containers to package applications that offer machine services via an http endpoint, such as Apache Tika.
I think this latter use case shows how we can start to imagine things like a “digital humanities application shelf” in a digital library (fragmentary thoughts on this), that allows users to take either an image of the application off the shelf (where an image is a thing that lets you fire up a pristine instance of the application), or a running instance of the application of the shelf. (Furthermore, the application can be run locally, on your own desktop computer, or in the cloud, for example, using something like a mybinder like service). The user can then use the application directly (if it has a browser based UI), or call on it from elsewhere (eg in the case of Apache Tika). Once they’re done, they can keep a copy of whatever files they were working with and destroy their running version of the application. If they need the application again, they can just pull a new copy (of the latest version of the app, or the version they used previously) and fire up a new instance of it.
Another way of using Docker came to mind over the weekend when I saw a video demonstrating the use of the contentmine scientific literature analysis toolset. The contentmine installation instructions are a bit of a fiddle for the uninitiated, so I thought I’d try to pop them into a container. That was easy enough (for a certain definition of easy – it was a faff getting node to work and npm to be found, the Java requirements took a couple of goes, and I;m sure the image is way bigger than it really needs to be…), as the Dockerfile below/in the gist shows.
But the question then was how to access the tools? The tools themselves are commandline apps, so the first thing we want to do is to be able to call into the container to run the command. A handy post by Mike English entitled Distributing Command Line Tools with Docker shows how to do this, so that’s all good then…
The next step is to consider how to retain copies of the files created by the command line apps, or pass files to the apps for processing. If we have a target host directory and mount it into the container as as a shared volume, we can keep the files on our desktop or allow the container to create files into the host directory. Then they’ll be accessible to us all the time, even if we destroy the container.
The gist that should be embedded below shows the Dockerfile and a simple batch file passes the Contentmine tool commands into the container which then executes them. The batch file idea could be further extended to produce a set of command shortcuts that essentially alias the Contentmine commands (eg a ./getpapers command rather than a ./contentmine getpapers command, or that combine the various steps associated with a particular pipeline or workflow – getpapers/norma/cmine, for example – into a single command.
UPDATE: the CenturyLinkLabs DRAY docker pipeline looks interesting in this respect for sequencing a set of docker containers and passing the output of one as the input to the next.
If there are other folk out there looking at using Docker specifically for self-managed “pull your own container” individual desktop/user applications, rather than as a devops solution for deploying services at scale, I’d love to chat…:-)
PS for several other examples of using Docker for desktop apps, including accessing GUI based apps using X WIndows / X11, see Jessie Frazelle’s post Docker Containers on the Desktop.
PPS See also More Docker Doodlings – Accessing GUI Apps Via a Browser from a Container Using Guacamole for an attempt at exposing a GUI based app, such as Audacity, running in a container via a browser. Note that I couldn’t get a shared folder or the audio to work, although the GUI bit did…
PPPS I wondered how easy it would be to run command-line containers from within Jupyter notebook itself running in inside a container, but got stuck. Related question on Stack Overflow here.