86 lines
2.7 KiB
Python
86 lines
2.7 KiB
Python
import os, sys, time
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lines = open(sys.argv[1], 'rb').readlines()
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#keys = ['send_buffer_utilization']
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keys = ['send_buffer_size', 'used_send_buffer', 'protocol_buffer']
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#keys = ['send_buffer_alloc', 'send_buffer', 'allocate_buffer_alloc', 'allocate_buffer', 'protocol_buffer']
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#keys = ['send_buffer_alloc', 'send_buffer', 'allocate_buffer_alloc', 'allocate_buffer', 'protocol_buffer', 'append_send_buffer']
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average = ['send_buffer_utilization', 'send_buffer_size', 'used_send_buffer']
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average_interval = 120000
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render = 'lines'
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time_limit = -1
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if len(sys.argv) > 2:
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time_limit = long(sys.argv[2])
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# logfile format:
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# <time(ms)> <key> <value>
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# example:
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# 16434 allocate_buffer: 17
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for k in keys:
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last_sample = 0
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average_accumulator = 0
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average_samples = 0
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peak = 0
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out = open(k + '.dat', 'wb')
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eval_average = False
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if k in average:
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eval_average = True
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peak_out = open(k + '_peak.dat', 'wb')
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for l in lines:
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l = l.split(' ')
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if len(l) != 3:
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print l
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continue
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try:
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if l[1] == k + ':':
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if time_limit != -1 and long(l[0]) > time_limit: break
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time = l[0]
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value = l[2]
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if eval_average:
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while long(time) > last_sample + average_interval:
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last_sample = last_sample + average_interval
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if average_samples < 1: average_samples = 1
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print >>out, '%d %f' % (last_sample, average_accumulator / average_samples)
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print >>peak_out, '%d %f' % (last_sample, peak)
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average_accumulator = 0
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average_samples = 0
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peak = 0
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average_accumulator = average_accumulator + float(value)
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average_samples = average_samples + 1
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if float(value) > peak: peak = float(value)
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else:
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print >>out, time + ' ' + value,
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except:
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print l
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out.close()
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peak_out.close()
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out = open('send_buffer.gnuplot', 'wb')
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print >>out, "set term png size 1200,700"
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print >>out, 'set output "send_buffer.png"'
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print >>out, 'set xrange [0:*]'
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print >>out, 'set xlabel "time (ms)"'
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print >>out, 'set ylabel "bytes (B)"'
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print >>out, "set style data lines"
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print >>out, "set key box"
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print >>out, 'plot',
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for k in keys:
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if k in average:
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print >>out, ' "%s.dat" using 1:2 title "%s %d seconds average" with %s,' % (k, k, average_interval / 1000., render),
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print >>out, ' "%s_peak.dat" using 1:2 title "%s %d seconds peak" with %s,' % (k, k, average_interval / 1000., render),
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else:
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print >>out, ' "%s.dat" using 1:2 title "%s" with %s,' % (k, k, render),
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print >>out, 'x=0'
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out.close()
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os.system('gnuplot send_buffer.gnuplot')
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