Fixing Imports to Hugo

The solution to this, is to recognize that a lot of the content I make (in fact most of it) will be presented as output from R Markdown. The tutorials I create, the analyses I do, etc. As such, why not start with an R Markdown file in the first place and go from there? Enter blogdown


I then had to install python3 and pip to get the academic Hugo theme going.

brew update
brew install python3
pip3 install academic

I then went and grabbed a BibTex file of my publications from Web Of Science. Not all of them are there but it gets things going. Then I had the hugo academic import them into the site.

academic import --bibtex ~/Downloads/savedrecs.bib 

I quickly noticed a flaw in this approach as Web of Sciences labels each of the entries with the ISI number, which academic uses for naming within Hugo. This means absolutely nothing to me (e.g., instead of DyerNason2004 that manuscript is noted as ISI:000221933000001—totally useless). So, I went back to the file and manually changed the entry titles. Not a big deal.

I then imported them using the code above and it was good. I got a folder

Now, to go fix a few other things.

Fixing tags

By default, the import mechanism uses a semicolon separated list of tags from the keywords for each publication. Hugo assumes everything is just one long set of tag identifiers so tags like, gene flow, popgraph, and genetic structure are imported into Hugo as gene-flow-popgraph-genetic-structure, which is not the right thing. So I wrote the following quick script to loop though all the files just created make the right changes.

files = list.files("./content/publications/", pattern="",full.names = TRUE,recursive = TRUE)
for( file in files ) {
  f <- readr::read_file(file=file)
  lines <- strsplit(f,"\n")
  idx <- which(lapply(lines, function(x) grepl("^tags", x) )[[1]])
  if( length(idx) > 0 ) {
    lines[[1]][idx] <- stringr::str_replace_all(lines[[1]][idx], "; ", '\", \"')
    f <- paste(lines[[1]], collapse="\n")
Rodney J. Dyer

Research interests include applied population and landscape genetics, contemporary gene flow, and examining the effects anthropogenic landscape modifications have on extant plant and animal species persistence.