blob: ea2d4c94353f87ab3b29c26ca454abe4ed00175b [file] [log] [blame]
#!/usr/bin/env python
import sys
import re
import argparse
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
class Point():
"CC event"
def __init__(self, x, y):
self.x = x
self.y = y
def listx(points):
return list(map(lambda pt: pt.x, points))
def listy(points):
return list(map(lambda pt: pt.y, points))
def plot_data(d):
plt.figure(1)
cwndx = listx(d["cwnd"])
cwndy = listy(d["cwnd"])
congx = listx(d["congestion"])
congy = listy(d["congestion"])
rcvrdx = listx(d["recovered"])
rcvrdy = listy(d["recovered"])
rxttx = listx(d["rxtTimeout"])
rxtty = listy(d["rxtTimeout"])
# cwnd/ssthresh/cc events
plt.subplot(311)
plt.title("cwnd/ssthresh")
pcwnd = plt.plot(cwndx, cwndy, 'r')
psst = plt.plot(cwndx, d["ssthresh"], 'y-')
pcong = plt.plot(congx, congy,'yo')
precov = plt.plot(rcvrdx, rcvrdy,'co')
prxtt = plt.plot(rxttx, rxtty,'mo')
marker1 = Line2D(range(1), range(1), color="r")
marker2 = Line2D(range(1), range(1), color="y")
marker3 = Line2D(range(1), range(1), color="w", marker="o", markerfacecolor="y")
marker4 = Line2D(range(1), range(1), color="w", marker="o", markerfacecolor="c")
marker5 = Line2D(range(1), range(1), color="w", marker="o", markerfacecolor="m")
plt.legend((marker1, marker2, marker3, marker4, marker5),
('cwnd', 'ssthresh', 'congestion', 'recovered', 'rxt-timeout'),
loc=4)
axes = plt.gca()
axes.set_ylim([-20e4, max(cwndy) + 20e4])
# snd variables
plt.subplot(312)
plt.title("cc variables")
plt.plot(cwndx, d["space"], 'g-', markersize=1)
plt.plot(cwndx, d["flight"], 'b-', markersize=1)
plt.plot(cwndx, d["sacked"], 'm:', markersize=1)
plt.plot(cwndx, d["lost"], 'y:', markersize=1)
plt.plot(cwndx, d["cc-space"], 'k:', markersize=1)
plt.plot(cwndx, cwndy, 'ro', markersize=2)
plt.plot(congx, congy, 'y^', markersize=10, markerfacecolor="y")
plt.plot(rcvrdx, rcvrdy, 'c^', markersize=10, markerfacecolor="c")
plt.plot(rxttx, rxtty, 'm^', markersize=10, markerfacecolor="m")
#plt.plot(cwndx, d["snd_wnd"], 'ko', markersize=1)
plt.legend(("snd-space", "flight", "sacked", "lost", "cc-space", "cwnd",
"congestion", "recovered", "rxt-timeout"),
loc=1)
# rto/srrt/rttvar
plt.subplot(313)
plt.title("rtt")
plt.plot(cwndx, d["srtt"], 'g-')
plt.plot(cwndx, [x/1000 for x in d["mrtt-us"]], 'r-')
plt.plot(cwndx, d["rttvar"], 'b-')
plt.legend(["srtt", "mrtt-us", "rttvar"])
axes = plt.gca()
#plt.plot(cwndx, rto, 'r-')
#axes.set_ylim([0, int(max(rto[2:len(rto)])) + 50])
# show
plt.show()
def find_pattern(file_path,session_idx):
is_active_open = 1
listener_pattern = "l\[\d\]"
if (is_active_open):
initial_pattern = "\[\d\](\.\d+:\d+\->\.\d+:\d+)\s+open:\s"
else:
initial_pattern = "\[\d\](\.\d+:\d+\->\.\d+:\d+)\s"
idx = 0
f = open(file_path, 'r')
for line in f:
# skip listener lines (server)
if (re.search(listener_pattern, line) != None):
continue
match = re.search(initial_pattern, line)
if (match == None):
continue
if (idx < session_idx):
idx += 1
continue
filter_pattern = str(match.group(1)) + "\s+(.+)"
print ("pattern is %s" % filter_pattern)
f.close()
return filter_pattern
raise Exception ("Could not find initial pattern")
def compute_time(min, sec, msec):
return int(min)*60 + int(sec) + int(msec)/1000.0
def run(file_path, session_idx):
filter_sessions = 1
filter_pattern = ""
patterns = {
"time" : "^\d+:(\d+):(\d+):(\d+):\d+",
"listener" : "l\[\d\]",
"cc" : "cwnd (\d+) flight (\d+) space (\d+) ssthresh (\d+) snd_wnd (\d+)",
"cc-snd" : "cc_space (\d+) sacked (\d+) lost (\d+)",
"rtt" : "rto (\d+) srtt (\d+) mrtt-us (\d+) rttvar (\d+)",
"rxtt" : "rxt-timeout",
"congestion": "congestion",
"recovered" : "recovered",
}
d = {
"cwnd" : [],
"space" : [],
"flight" : [],
"ssthresh" : [],
"snd_wnd" : [],
"cc-space" : [],
"lost" : [],
"sacked" : [],
"rto" : [],
"srtt" : [],
"mrtt-us" : [],
"rttvar" : [],
"rxtTimeout" : [],
"congestion" : [],
"recovered" : [],
}
if (filter_sessions):
filter_pattern = find_pattern(file_path, session_idx)
f = open(file_path, 'r')
stats_index = 0
start_time = 0
for line in f:
# skip listener lines (server)
if (re.search(patterns["listener"], line) != None):
continue
# filter sessions
if (filter_sessions):
match = re.search(filter_pattern, line)
if (match == None):
continue
original_line = line
line = match.group(1)
match = re.search (patterns["time"], original_line)
if (match == None):
print "something went wrong! no time!"
continue
time = compute_time (match.group(1), match.group(2), match.group(3))
if (start_time == 0):
start_time = time
time = time - start_time
match = re.search(patterns["cc"], line)
if (match != None):
d["cwnd"].append(Point(time, int(match.group(1))))
d["flight"].append(int(match.group(2)))
d["space"].append(int(match.group(3)))
d["ssthresh"].append(int(match.group(4)))
d["snd_wnd"].append(int(match.group(5)))
stats_index += 1
continue
match = re.search(patterns["cc-snd"], line)
if (match != None):
d["cc-space"].append(int(match.group(1)))
d["sacked"].append(int(match.group(2)))
d["lost"].append(int(match.group(3)))
match = re.search(patterns["rtt"], line)
if (match != None):
d["rto"].append(int(match.group(1)))
d["srtt"].append(int(match.group(2)))
d["mrtt-us"].append(int(match.group(3)))
d["rttvar"].append(int(match.group(4)))
if (stats_index == 0):
continue
match = re.search(patterns["rxtt"], line)
if (match != None):
d["rxtTimeout"].append(Point(time, d["cwnd"][stats_index - 1].y + 1e4))
continue
match = re.search(patterns["congestion"], line)
if (match != None):
d["congestion"].append(Point(time, d["cwnd"][stats_index - 1].y - 1e4))
continue
match = re.search(patterns["recovered"], line)
if (match != None):
d["recovered"].append(Point(time, d["cwnd"][stats_index - 1].y))
continue
plot_data(d)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Plot tcp cc logs")
parser.add_argument('-f', action='store', dest='file', required=True,
help="elog file in txt format")
parser.add_argument('-s', action='store', dest='session_index', default=0,
help="session index for which to plot cc logs" )
results = parser.parse_args()
run(results.file, int(results.session_index))