plumber allows you to create a REST API by merely decorating your existing R source code with special comments. Take a look at an example.
# myfile.R
#* @get /mean
normalMean <- function(samples=10){
data <- rnorm(samples)
mean(data)
}
#* @post /sum
addTwo <- function(a, b){
as.numeric(a) + as.numeric(b)
}These comments allow plumber to make your R functions available as API endpoints. You can use either #* as the prefix or #', but we recommend the former since #' will collide with Roxygen.
> library(plumber)
> r <- plumb("myfile.R") # Where 'myfile.R' is the location of the file shown above
> r$run(port=8000)You can visit this URL using a browser or a terminal to run your R function and get the results. Here we're using curl via a Mac/Linux terminal.
$ curl "http://localhost:8000/mean"
[-0.254]
$ curl "http://localhost:8000/mean?samples=10000"
[-0.0038]
As you might have guessed, the request's query string parameters are forwarded to the R function as arguments (as character strings).
$ curl --data "a=4&b=3" "http://localhost:8000/sum"
[7]
You can also send your data as JSON:
$ curl --data '{"a":4, "b":5}' http://localhost:8000/sum
[9]
You can install the latest stable version from CRAN using the following command:
install.packages("plumber")If you want to try out the latest development version, you can install it from GitHub. The easiest way to do that is by using devtools.
library(devtools)
install_github("trestletech/plumber")
library(plumber)plumber was originally released as the rapier package and has since been renamed (7/13/2015).