/gwf-publications

GWF Publications Archive

Primary LanguagePythonApache License 2.0Apache-2.0

GWF Publications

These are basic instructions on generating the GWF Publications website as seen on https://gwf-uwaterloo.github.io/gwf-publications/.

Generating the website

Prerequisites

To build the Anthology website, you will need:

  • Python 3.8 or higher
  • Python packages listed in bin/requirements.txt; to install, run pip -r bin/requirements.txt
  • Hugo 0.58.3 or higher (can be downloaded directly from their repo; the extended version is required!)
  • bibutils for creating non-BibTeX citation formats (not strictly required to build the website, but without them you need to invoke the build steps manually as laid out in the detailed README)
  • optional: If you install libyaml-dev and Cython before running make the first time, the libyaml C library will be used instead of a python implementation, speeding up the build.

Building and deployment with GitHub

Cloning

Clone the Anthology repo to your local machine:

$ git clone https://github.com/gwf-uwaterloo/gwf-publications

Generating

Provided you have correctly installed all requirements, building the website should be as simple running make from the directory to which you cloned the repo.

We used the command below because of the domain:

sudo ANTHOLOGY_PREFIX="https://gwf-uwaterloo.github.io/gwf-publications" make

The fully generated website will be in build/website afterwards. You can see the resulting website by launching a local webserver with make serve, which will serve it at http://localhost:8000.

Note that building the website is quite a resource-intensive process; particularly the last step, invoking Hugo, uses about 18~GB of system memory. Building the anthology takes about 10 minutes on a laptop with an SSD.

(Note: This does not mean you need this amount of RAM in your system; in fact, the website builds fine on a laptop with 8 GB of RAM. The system might temporarily slow down due to swapping, however. The figure of approx. 18 GB is the maximum RAM usage reported when running hugo --minify --stepAnalysis.)

The anthology can be viewed locally by running hugo server in the hugo/ directory. Note that it rebuilds the site and therefore takes about a minute to start.