forked from premiere/premiere-libtorrent
91 lines
2.9 KiB
Python
Executable File
91 lines
2.9 KiB
Python
Executable File
#!/bin/python
|
|
# Copyright Arvid Norberg 2008. Use, modification and distribution is
|
|
# subject to the Boost Software License, Version 1.0. (See accompanying
|
|
# file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
|
|
|
|
import os, sys, time
|
|
|
|
lines = open(sys.argv[1], 'rb').readlines()
|
|
|
|
#keys = ['send_buffer_utilization']
|
|
keys = ['send_buffer_size', 'used_send_buffer', 'protocol_buffer']
|
|
#keys = ['send_buffer_alloc', 'send_buffer', 'allocate_buffer_alloc', 'allocate_buffer', 'protocol_buffer']
|
|
#keys = ['send_buffer_alloc', 'send_buffer', 'allocate_buffer_alloc', 'allocate_buffer', 'protocol_buffer', 'append_send_buffer']
|
|
|
|
average = ['send_buffer_utilization', 'send_buffer_size', 'used_send_buffer']
|
|
average_interval = 120000
|
|
render = 'lines'
|
|
|
|
time_limit = -1
|
|
if len(sys.argv) > 2:
|
|
time_limit = long(sys.argv[2])
|
|
|
|
|
|
# logfile format:
|
|
# <time(ms)> <key> <value>
|
|
# example:
|
|
# 16434 allocate_buffer: 17
|
|
for k in keys:
|
|
|
|
last_sample = 0
|
|
average_accumulator = 0
|
|
average_samples = 0
|
|
peak = 0
|
|
|
|
out = open(k + '.dat', 'wb')
|
|
eval_average = False
|
|
if k in average:
|
|
eval_average = True
|
|
peak_out = open(k + '_peak.dat', 'wb')
|
|
|
|
for l in lines:
|
|
l = l.split(' ')
|
|
if len(l) != 3:
|
|
print l
|
|
continue
|
|
try:
|
|
if l[1] == k + ':':
|
|
if time_limit != -1 and long(l[0]) > time_limit: break
|
|
time = l[0]
|
|
value = l[2]
|
|
if eval_average:
|
|
while long(time) > last_sample + average_interval:
|
|
last_sample = last_sample + average_interval
|
|
if average_samples < 1: average_samples = 1
|
|
print >>out, '%d %f' % (last_sample, average_accumulator / average_samples)
|
|
print >>peak_out, '%d %f' % (last_sample, peak)
|
|
average_accumulator = 0
|
|
average_samples = 0
|
|
peak = 0
|
|
average_accumulator = average_accumulator + float(value)
|
|
average_samples = average_samples + 1
|
|
if float(value) > peak: peak = float(value)
|
|
else:
|
|
print >>out, time + ' ' + value,
|
|
except:
|
|
print l
|
|
|
|
out.close()
|
|
peak_out.close()
|
|
|
|
out = open('send_buffer.gnuplot', 'wb')
|
|
print >>out, "set term png size 1200,700"
|
|
print >>out, 'set output "send_buffer.png"'
|
|
print >>out, 'set xrange [0:*]'
|
|
print >>out, 'set xlabel "time (ms)"'
|
|
print >>out, 'set ylabel "bytes (B)"'
|
|
print >>out, "set style data lines"
|
|
print >>out, "set key box"
|
|
print >>out, 'plot',
|
|
for k in keys:
|
|
if k in average:
|
|
print >>out, ' "%s.dat" using 1:2 title "%s %d seconds average" with %s,' % (k, k, average_interval / 1000., render),
|
|
print >>out, ' "%s_peak.dat" using 1:2 title "%s %d seconds peak" with %s,' % (k, k, average_interval / 1000., render),
|
|
else:
|
|
print >>out, ' "%s.dat" using 1:2 title "%s" with %s,' % (k, k, render),
|
|
print >>out, 'x=0'
|
|
out.close()
|
|
|
|
os.system('gnuplot send_buffer.gnuplot')
|
|
|