This repo contains a collection of Dockerfiles to build various pandoc container images.
Contents
Docker images hosted here have a "core" version and a "latex" version:
- core:
pandoc
andpandoc-citeproc
, as well as the appropriate backend for the full lua filtering backend (lua filters can call external modules). - latex: builds on top of the core image, and provides an as-minimal-as-possible
latex installation in addition. This includes all packages that
pandoc
might use, and any libraries needed by these packages (such as image libraries needed by the latex graphics packages).
From there, the tagging scheme is either X.Y
, X.Y.Z
, latest
, or edge
.
X.Y
orX.Y.Z
: an officialpandoc
release (e.g.,2.6
). Once anX.Y
tag is pushed, it will not be re-built (unless there is a problem). Pandoc releases versions such as2.7
or2.7.1
(there is no2.7.0
), which is where the optional.Z
comes from.latest
: thelatest
tag points to the most recentX.Y
release. For example, if tags2.5
and2.6
were available online,latest
would be the same image as2.6
.edge
: the "bleeding edge" tag clones themaster
branch ofpandoc
andpandoc-citeproc
. This tag is a moving target, and will be re-built at least once a month. The CI scripts have a cron job to build each image stack on the first of the month. However, changes to themaster
branch of this repository may also result in theedge
tag being updated sooner.
The current latest
tag for all images points to pandoc
version 2.14.1
.
- Core image:
pandoc/core
- To build locally:
make alpine
- To build locally:
- Latex image:
pandoc/latex
- To build locally:
make alpine-latex
- To build locally:
Note: this section describes how to use the docker images. Please refer to the
pandoc
manual for usage information aboutpandoc
.
Docker images are pre-provisioned computing environments, similar to virtual machines, but smaller and cleverer. You can use these images to convert document wherever you can run docker images, without having to worry about pandoc or its dependencies. The images bring along everything they need to get the job done.
-
Install Docker if you don't have it already.
-
Start up Docker. Usually you will have an application called "Docker" on your computer with a rudimentary graphical user interface (GUI). You can also run this command in the command-line interface (CLI):
open -a Docker
-
Open a shell and navigate to wherever the files are that you want to convert.
cd path/to/source/dir
You can always run
pwd
to check whether you're in the right place. -
Run docker by entering the below commands in your favorite shell.
Let's say you have a
README.md
in your working directory that you'd like to convert to HTML.docker run --rm --volume "`pwd`:/data" --user `id -u`:`id -g` pandoc/latex:2.6 README.md
The
--volume
flag maps some directory on your machine (lefthand side of the colons) to some directory in the container (righthand side), so that you have your source files available for pandoc to convert.pwd
is quoted to protect against spaces in filenames.Ownership of the output file is determined by the user executing pandoc in the container. This will generally be a user different from the local user. It is hence a good idea to specify for docker the user and group IDs to use via the
--user
flag.pandoc/latex:2.6
declares the image that you're going to run. It's always a good idea to hardcode the version, lest future releases break your code.It may look weird to you that you can just add
README.md
at the end of this line, but that's just because thepandoc/latex:2.6
will simply prependpandoc
in front of anything you write afterpandoc/latex:2.6
(this is known as theENTRYPOINT
field of the Dockerfile). So what you're really running here ispandoc README.md
, which is a valid pandoc command.If you don't have the current docker image on your computer yet, the downloading and unpacking is going to take a while. It'll be (much) faster the next time. You don't have to worry about where/how Docker keeps these images.
Pandoc commands have a way of getting pretty long, and so typing them into the
command line can get a little unwieldy. To get a better handle of long pandoc
commands, you can store them in a script file, a simple text file with an *.sh
extension such as
#!/bin/sh
pandoc README.md
The first line, known as the shebang
tells the container that the following commands are to be executed as shell
commands. In our case, we really don't use a lot of shell magic, we just call
pandoc in the second line (though you can get fancier, if you like). Notice that
the #!/bin/sh
will not get you a full bash shell, but only the more basic
ash shell that comes with Alpine linux on which the pandoc containers are based.
This won't matter for most uses, but if you want to write writing more
complicated scripts you may want to refer to the ash
manual.
Once you have stored this script, you must make it executable by running the following command on it (this may apply only to UNIX-type systems):
chmod +x script.sh
You only have to do this once for each script file.
You can then run the completed script file in a pandoc docker container like so:
docker run --rm --volume "`pwd`:/data" --entrypoint "/data/script.sh" pandoc/latex:2.6
Notice that the above script.sh
did specify pandoc
, and you can't just
omit it as in the simpler command above. This is because the --entrypoint
flag
overrides the ENTRYPOINT
field in the docker file (pandoc
, in our case),
so you must include the command.
GitHub Actions is an Infrastructure as a Service (IaaS) from GitHub that allows you to automatically run code on GitHub's servers on every push (or a bunch of other GitHub events).
Such continuous integration and delivery (CI/CD) may be useful for many pandoc users. Perhaps, you're using pandoc convert some markdown source document into HTML and deploy the results to a webserver. If the source document is under version control (such as git), you might want pandoc to convert and deploy on every commit. That is what CI/CD does.
To use pandoc on GitHub Actions, you can leverage the docker images of this project.
To learn more how to use the docker pandoc images in your GitHub Actions workflow, see these examples.
The official images are bare-bones, providing everything required to use pandoc and Lua filters, but not much more. Often, one will want to have additional software available. This is best achieved by building custom Docker images.
For example, one may want to use advanced spellchecking as demonstrated in the
[spellcheck] in the Lua filters collection. This requires the aspell package
as well as language-specific packages. A good solution would be to define a new
Dockerfile and to use pandoc/core
as the base package:
FROM pandoc/core:latest
RUN apk --no-cache add aspell aspell-en aspell-fr
Create a new image by running docker build --tag=pandoc-with-aspell .
in the
directory containing the Dockerfile. Now you can use pandoc-with-aspell
instead of pandoc/core
to get access to spellchecking in your image.
See Docker documentation for more details, for example part 2 of the Get Started guide.
See the release checklist.
Code in this repository is licensed under the GNU General Public License, version 2.0 or later.