Context in R Programming Language
Here’s the translation of the Go code to R, formatted in Markdown suitable for Hugo:
In R, we don’t have a direct equivalent to the context.Context
concept. However, we can simulate a similar behavior using R’s event handling mechanisms and the later
package for asynchronous operations. Here’s an example that mimics the functionality of the original code:
library(httpuv)
library(later)
hello <- function(req) {
cat("server: hello handler started\n")
on.exit(cat("server: hello handler ended\n"))
# Simulate work
later::later(function() {
if (!req$cancelled) {
req$respond(list(
status = 200,
headers = list('Content-Type' = 'text/plain'),
body = "hello\n"
))
}
}, delay = 10)
# Set up cancellation
req$onCancel(function() {
cat("server: request cancelled\n")
req$respond(list(
status = 500,
headers = list('Content-Type' = 'text/plain'),
body = "Internal Server Error: request cancelled"
))
})
return(list())
}
main <- function() {
app <- list(
call = function(req) {
if (req$PATH_INFO == "/hello") {
return(hello(req))
}
return(list(status = 404))
}
)
cat("Starting server on port 8090...\n")
httpuv::runServer("0.0.0.0", 8090, app)
}
main()
This R script sets up a simple HTTP server using the httpuv
package. Here’s a breakdown of what’s happening:
We define a
hello
function that handles requests to the “/hello” endpoint.Inside
hello
, we simulate a long-running operation usinglater::later()
, which schedules a function to run after a 10-second delay.We set up a cancellation handler using
req$onCancel()
. This will be called if the client cancels the request.The
main
function sets up the server routing and starts the server on port 8090.
To run this server:
Rscript server.R
You can then simulate a client request and cancellation:
$ curl localhost:8090/hello
server: hello handler started
^C
server: request cancelled
server: hello handler ended
This example demonstrates how to handle long-running operations and request cancellations in an R web server. While it doesn’t use the exact same concepts as the original code (since R doesn’t have built-in concepts like context.Context
), it achieves similar functionality using R’s asynchronous programming capabilities.