xmrpeers/R/ping.R

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#' Ping peer nodes for latency measurement
#'
#' @param bitmonero.dir .bitmonero directory where the monero.log file is.
#' @param output.file Name of the output file. The file will be created in `bitmonero.dir`.
#' @param sleep Number of seconds to sleep between each round of collecting new peer IPs.
#' @param ping.count Number of times to ping each peer.
#'
#' @return No return value. Executes in a loop until interrupted.
#' @export
#'
#' @examples
#' ping.peers()
ping.peers <- function(bitmonero.dir = "~/.bitmonero", output.file = "/monero_peer_pings.csv", sleep = 10, ping.count = 5) {
bitmonero.dir <- path.expand(bitmonero.dir)
bitmonero.dir <- gsub("/+$", "", bitmonero.dir)
# Remove trailing slash(es) if they exist
output.file <- paste0(bitmonero.dir, output.file)
log.file <- paste0(bitmonero.dir, "/bitmonero.log")
first.file.line <- readr::read_lines(log.file, n_max = 1)
# Get the first file line so we know when the log file rolls over
# to the next file.
# Better to do this than file.info() because file.info() is OS-dependent:
# > What is meant by the three file times depends on the OS and file system.
# > On Windows native file systems ctime is the file creation time
# > (something which is not recorded on most Unix-alike file systems).
# > What is meant by file access and hence the last access time is system-dependent.
lines.already.read <- 0
while (TRUE) {
check.first.file.line <- readr::read_lines(log.file, n_max = 1)
if (first.file.line != check.first.file.line) {
first.file.line <- check.first.file.line
lines.already.read <- 0
}
if (file.exists(output.file)) {
old.ping.data <- read.csv(output.file, header = FALSE)
old.ip.ports <- paste0(old.ping.data[, 1], ":", old.ping.data[, 2])
} else {
old.ip.ports <- ""
}
tail.file <- readr::read_lines(log.file, skip = lines.already.read)
ip.lines <- grep("Received NOTIFY_NEW_TRANSACTIONS", tail.file, fixed = TRUE)
if (length(ip.lines) == 0) {
Sys.sleep(sleep.time)
cat(base::date(), " Peers pinged: 0\n", sep = "")
next
}
get.peer.ip.port.direction <- function(x) {
x <- stringr::str_extract(x, "\\[[0-9]{1,3}[.][0-9]{1,3}[.][0-9]{1,3}[.][0-9]{1,3}:[0-9]+\\s[INCOUT]{3}\\]")
x <- stringr::str_extract(x, "[0-9]{1,3}[.][0-9]{1,3}[.][0-9]{1,3}[.][0-9]{1,3}:[0-9]+\\s[INCOUT]{3}")
x <- strsplit(x, "(:)|(\\s)")
x <- as.data.frame(matrix(unlist(x), ncol = 3, byrow = TRUE), stringsAsFactors = FALSE)
colnames(x) <- c("ip", "port", "direction")
x
}
peers <- get.peer.ip.port.direction(tail.file[ip.lines])
peers <- unique(peers)
peers <- peers[! paste0(peers$ip, ":", peers$port) %in% old.ip.ports, , drop = FALSE]
if (nrow(peers) == 0) {
Sys.sleep(sleep.time)
cat(base::date(), " Peers pinged: 0\n", sep = "")
next
}
get.ping.data <- function(x) {
ip <- x[[1]]
port <- x[[2]]
direction <- x[[3]]
if (paste0(ip, ":", port) %in% old.ip.ports) {
return("")
}
pings <- pingr::ping_port(ip, port = port, count = ping.count)
if (all(is.na(pings))) {
# This may happen if it is an incoming connection and the peer's port is closed
pings <- pingr::ping(ip, count = ping.count)
}
paste(ip, port, direction, paste(pings, collapse = ","), sep = ",")
}
if (nrow(peers) * ping.count > 5) {
n.workers <- min(c(floor(nrow(peers) * ping.count / 5), parallelly::availableCores()*4))
options(parallelly.maxWorkers.localhost = 4) # This means number of CPU cores times 4
# Most time in thread is waiting for ping to return, so can have
# high number of workers
future::plan(future::multisession(workers = n.workers))
ping.data <- future.apply::future_apply(peers, MARGIN = 1, get.ping.data, future.seed = TRUE)
future::plan(future::sequential)
# Shut down workers
} else {
ping.data <- apply(peers, MARGIN = 1, get.ping.data)
}
ping.data <- unname(ping.data)
ping.data <- ping.data[ping.data != ""]
if (length(ping.data) > 0) {
cat(ping.data, file = output.file, sep = "\n", append = TRUE)
}
lines.already.read <- n.lines.file
Sys.sleep(sleep.time)
cat(base::date(), " Peers pinged: ", length(ping.data), "\n", sep = "")
}
}