commit 25ab9bb269c35bb21f08f0f8a2664f73fa11a0dd Author: Karsten Loesing karsten.loesing@gmx.net Date: Fri Aug 9 15:01:54 2013 +0200

Add graphs of relay lifetime/uptime distributions (#9424). --- task-9424/.gitignore | 5 +++++ task-9424/README | 6 ++++++ task-9424/parse.sh | 22 ++++++++++++++++++++++ task-9424/plot.R | 23 +++++++++++++++++++++++ 4 files changed, 56 insertions(+)

diff --git a/task-9424/.gitignore b/task-9424/.gitignore new file mode 100644 index 0000000..78e9dfa --- /dev/null +++ b/task-9424/.gitignore @@ -0,0 +1,5 @@ +data.json +input.csv +Rplots.pdf +*.png + diff --git a/task-9424/README b/task-9424/README new file mode 100644 index 0000000..283e1b6 --- /dev/null +++ b/task-9424/README @@ -0,0 +1,6 @@ +Howto: Make graphs of relay lifetime and uptime distributions +============================================================= + +./parse.sh > input.csv +R --slave -f plot.R + diff --git a/task-9424/parse.sh b/task-9424/parse.sh new file mode 100755 index 0000000..1e25f3e --- /dev/null +++ b/task-9424/parse.sh @@ -0,0 +1,22 @@ +#!/bin/bash +SAVEIFS=$IFS +IFS=$(echo -en "\n\b") + +# get latest consensus info +curl -s -o data.json "https://onionoo.torproject.org/details?running=true&type=relay" + +# find relays_published date and time +relays_published=`grep "relays_published" data.json | cut -d """ -f4` + +# first seen (for lifetime) +for first_seen in `grep first_seen data.json | cut -d """ -f4` +do + echo $relays_published,"first_seen",$first_seen +done + +# last restarted (for uptime) +for last_restarted in `grep last_restarted data.json | cut -d """ -f4` +do + echo $relays_published,"last_restarted",$last_restarted +done +IFS=$SAVEIFS diff --git a/task-9424/plot.R b/task-9424/plot.R new file mode 100644 index 0000000..42c09ba --- /dev/null +++ b/task-9424/plot.R @@ -0,0 +1,23 @@ +require(ggplot2) +library(scales) + +plot_graph <- function(indata, xaxis, outfile) { + indata <- data.frame( + x = sort(as.numeric( + as.POSIXct(indata$V1) - as.POSIXct(indata$V3))) / 86400, + y = (1:length(indata$V2)) / length(indata$V2)) + indata <- indata[indata$y <= 0.9, ] + ggplot(indata) + + geom_line(aes(x = x, y = y)) + + scale_x_continuous(name = paste("\n", xaxis, sep = "")) + + scale_y_continuous(name = "Fraction of relays\n", limit = c(0, 1), + labels = percent) + ggsave(outfile, width = 8, height = 5, dpi = 100) +} + +i <- read.csv("input.csv", stringsAsFactors = FALSE, header = FALSE) +plot_graph(i[i$V2 == "first_seen", ], "Lifetime in days", + "first_seen.png") +plot_graph(i[i$V2 == "last_restarted", ], "Uptime in days", + "last_restarted.png") +