library(ggplot2)
library(sqldf)
library(plyr)
library(cowplot)

link_info <- read.csv("../res/tmp_graph/u.txt")
ggplot(data=link_info, aes(x=timestamp, y=link, color=speed)) +
  #geom_line() +
  geom_point() +
  theme_classic()


xx <- read.csv("../res/tmp_graph/r.csv")
xx2 <- sqldf("select packet_id,1.0 * MIN(latency) / 1000.0 as lat,way from xx group by packet_id,way")
ggplot(data=xx2, aes(x=packet_id, y=lat, color=way)) +
  geom_line() +
  coord_cartesian(ylim=c(0,2000)) +
  #geom_point() +
  theme_classic()

xx4 <- sqldf("select packet_id,1.0 * latency / 1000.0 as lat,way from xx where flag = 0")
ggplot(data=xx4, aes(x=packet_id, y=lat, color=way)) +
  geom_line() +
  coord_cartesian(ylim=c(0,2000)) +
  #geom_point() +
  theme_classic()


xx5 <- sqldf("select packet_id,1.0 * latency / 1000.0 as lat,way from xx where flag = 1")
ggplot(data=xx5, aes(x=packet_id, y=lat, color=way)) +
  geom_line() +
  coord_cartesian(ylim=c(0,2000)) +
  #geom_point() +
  theme_classic()


prepros <- sqldf(
"select 
  r.packet_id, 
  r.way, 
  r.lat, 
  s.flag 
from 
  (select 
     packet_id,
     way,
     min(latency) as lat 
   from xx 
  group by packet_id,way) as r, 
  xx as s 
where 
  s.packet_id = r.packet_id and 
  s.way = r.way and 
  r.lat = s.latency")

xx3 <- sqldf("select packet_id,1.0 * latency / 1000.0 as lat,flag,way from xx")
xx3$flag <- factor(xx3$flag)
ggplot(data=xx3, aes(x=lat, group=flag, color=flag)) +
  stat_ecdf(pad = FALSE) +
  #coord_cartesian(xlim=c(0,2000)) +
  theme_classic()