#
# Copyright: George Milescu 2010 - george.milescu@gmail.com
#
# R script used to plot the results of a scenario

# import ggplot2
library(ggplot2)

# Read transmitted command line arguments
args <- commandArgs(trailingOnly = TRUE)

# The data files are located in the target folder. Also, the graph will be saved in the target folder.
target_folder <- args[2]
campaign_name <- args[3]
rm(args)

# read data from the data file
doe=read.table(paste(target_folder, "p2p-next-01.log.data", sep="/"), header=T, sep=" ")
proxy01=read.table(paste(target_folder, "p2p-next-03.log.data", sep="/"), header=T, sep=" ")
proxy02=read.table(paste(target_folder, "p2p-next-04.log.data", sep="/"), header=T, sep=" ")
leecher01=read.table(paste(target_folder, "p2p-next-06.log.data", sep="/"), header=T, sep=" ")
leecher02=read.table(paste(target_folder, "p2p-next-07.log.data", sep="/"), header=T, sep=" ")
leecher03=read.table(paste(target_folder, "p2p-next-08.log.data", sep="/"), header=T, sep=" ")
leecher04=read.table(paste(target_folder, "p2p-next-09.log.data", sep="/"), header=T, sep=" ")
leecher05=read.table(paste(target_folder, "p2p-next-10.log.data", sep="/"), header=T, sep=" ")

# transform KB/s to Mbit/s
doe$dlspeed <- doe$dlspeed*8/1000
proxy01$dlspeed <- proxy01$dlspeed*8/1000
proxy02$dlspeed <- proxy02$dlspeed*8/1000
leecher01$dlspeed <- leecher01$dlspeed*8/1000
leecher02$dlspeed <- leecher02$dlspeed*8/1000
leecher03$dlspeed <- leecher03$dlspeed*8/1000
leecher04$dlspeed <- leecher04$dlspeed*8/1000
leecher05$dlspeed <- leecher05$dlspeed*8/1000



# plot dlspeed-percent data
p <- ggplot() +
geom_point(aes(x=doe$percent, y=doe$dlspeed, label="Doe", colour="Doe"), size=1) +
geom_point(aes(x=proxy01$percent, y=proxy01$dlspeed, label="Proxy 01", colour="Proxy 01"), size=1) +
geom_point(aes(x=proxy02$percent, y=proxy02$dlspeed, label="Proxy 02", colour="Proxy 02"), size=1) +
geom_point(aes(x=leecher01$percent, y=leecher01$dlspeed, label="Leecher 01", colour="Leecher 01"), size=1) +
geom_point(aes(x=leecher02$percent, y=leecher02$dlspeed, label="Leecher 02", colour="Leecher 02"), size=1) +
geom_point(aes(x=leecher03$percent, y=leecher03$dlspeed, label="Leecher 03", colour="Leecher 03"), size=1) +
geom_point(aes(x=leecher04$percent, y=leecher04$dlspeed, label="Leecher 04", colour="Leecher 04"), size=1) +
geom_point(aes(x=leecher05$percent, y=leecher05$dlspeed, label="Leecher 05", colour="Leecher 05"), size=1) +
theme_bw() +
scale_x_continuous("Percent", limits=c(0, 100), breaks=seq(0, 100, 10)) +
scale_y_continuous("Download speed (Mbit/s)") +
coord_cartesian() +
scale_colour_manual("Legend", c("Leecher 01"="red", "Leecher 02"="blue", "Leecher 03"="green", "Leecher 04"="orange", "Leecher 05"="pink", "Doe"="black", "Proxy 01"="magenta", "Proxy 02"="cyan")) +
opts(title=paste(campaign_name, "Scenario-08: a flashcrowd swarm (1 Seeder, 5 Leechers, 1 Doe, 2 Proxies),\nthe proxies have an 32 Mbit/s BW, all other peers have an 8 Mbit/s BW", sep="\n"))

# plot data as an eps file
postscript(paste(target_folder, "scenario08-dlspeed-percent.eps", sep="/"))
print(p)
dev.off()

# plot data as an png file
png(paste(target_folder, "scenario08-dlspeed-percent.png", sep="/"), width = 1280, height = 800)
print(p)
dev.off()



# plot dlspeed-time data
p <- ggplot() +
geom_point(aes(x=doe$time, y=doe$dlspeed, label="Doe", colour="Doe"), size=1) +
geom_point(aes(x=proxy01$time, y=proxy01$dlspeed, label="Proxy 01", colour="Proxy 01"), size=1) +
geom_point(aes(x=proxy02$time, y=proxy02$dlspeed, label="Proxy 02", colour="Proxy 02"), size=1) +
geom_point(aes(x=leecher01$time, y=leecher01$dlspeed, label="Leecher 01", colour="Leecher 01"), size=1) +
geom_point(aes(x=leecher02$time, y=leecher02$dlspeed, label="Leecher 02", colour="Leecher 02"), size=1) +
geom_point(aes(x=leecher03$time, y=leecher03$dlspeed, label="Leecher 03", colour="Leecher 03"), size=1) +
geom_point(aes(x=leecher04$time, y=leecher04$dlspeed, label="Leecher 04", colour="Leecher 04"), size=1) +
geom_point(aes(x=leecher05$time, y=leecher05$dlspeed, label="Leecher 05", colour="Leecher 05"), size=1) +
theme_bw() +
scale_x_continuous("Time (s)") +
scale_y_continuous("Download speed (Mbit/s)") +
coord_cartesian() +
scale_colour_manual("Legend", c("Leecher 01"="red", "Leecher 02"="blue", "Leecher 03"="green", "Leecher 04"="orange", "Leecher 05"="pink", "Doe"="black", "Proxy 01"="magenta", "Proxy 02"="cyan")) +
opts(title=paste(campaign_name, "Scenario-08: a flashcrowd swarm (1 Seeder, 5 Leechers, 1 Doe, 2 Proxies),\nthe proxies have an 32 Mbit/s BW, all other peers have an 8 Mbit/s BW", sep="\n"))

# plot data as an eps file
postscript(paste(target_folder, "scenario08-dlspeed-time.eps", sep="/"))
print(p)
dev.off()

# plot data as an png file
png(paste(target_folder, "scenario08-dlspeed-time.png", sep="/"), width = 1280, height = 800)
print(p)
dev.off()