289 lines
7.8 KiB
Python
289 lines
7.8 KiB
Python
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import os, sys, time
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# usage: parse_log.py log-file [socket-index to focus on]
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socket_filter = None
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if len(sys.argv) >= 3:
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socket_filter = sys.argv[2].strip()
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if socket_filter == None:
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print "scanning for socket with the most packets"
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file = open(sys.argv[1], 'rb')
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sockets = {}
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for l in file:
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if not 'our_delay' in l: continue
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try:
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a = l.strip().split(" ")
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socket_index = a[1][:-1]
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except:
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continue
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# msvc's runtime library doesn't prefix pointers
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# with '0x'
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# if socket_index[:2] != '0x':
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# continue
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if socket_index in sockets:
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sockets[socket_index] += 1
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else:
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sockets[socket_index] = 1
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items = sockets.items()
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items.sort(lambda x, y: y[1] - x[1])
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count = 0
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for i in items:
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print '%s: %d' % (i[0], i[1])
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count += 1
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if count > 5: break
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file.close()
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socket_filter = items[0][0]
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print '\nfocusing on socket %s' % socket_filter
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file = open(sys.argv[1], 'rb')
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out_file = 'utp.out%s' % socket_filter;
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out = open(out_file, 'wb')
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delay_samples = 'dots lc rgb "blue"'
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delay_base = 'steps lw 2 lc rgb "purple"'
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target_delay = 'steps lw 2 lc rgb "red"'
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off_target = 'dots lc rgb "blue"'
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cwnd = 'steps lc rgb "green"'
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window_size = 'steps lc rgb "sea-green"'
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rtt = 'lines lc rgb "light-blue"'
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metrics = {
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'our_delay':['our delay (ms)', 'x1y2', delay_samples],
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'upload_rate':['send rate (B/s)', 'x1y1', 'lines'],
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'max_window':['cwnd (B)', 'x1y1', cwnd],
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'target_delay':['target delay (ms)', 'x1y2', target_delay],
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'cur_window':['bytes in-flight (B)', 'x1y1', window_size],
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'cur_window_packets':['number of packets in-flight', 'x1y2', 'steps'],
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'packet_size':['current packet size (B)', 'x1y2', 'steps'],
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'rtt':['rtt (ms)', 'x1y2', rtt],
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'off_target':['off-target (ms)', 'x1y2', off_target],
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'delay_sum':['delay sum (ms)', 'x1y2', 'steps'],
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'their_delay':['their delay (ms)', 'x1y2', delay_samples],
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'get_microseconds':['clock (us)', 'x1y1', 'steps'],
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'wnduser':['advertised window size (B)', 'x1y1', 'steps'],
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'delay_base':['delay base (us)', 'x1y1', delay_base],
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'their_delay_base':['their delay base (us)', 'x1y1', delay_base],
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'their_actual_delay':['their actual delay (us)', 'x1y1', delay_samples],
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'actual_delay':['actual_delay (us)', 'x1y1', delay_samples]
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}
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histogram_quantization = 1
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socket_index = None
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columns = []
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begin = None
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title = "-"
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packet_loss = 0
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packet_timeout = 0
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delay_histogram = {}
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window_size = {'0': 0, '1': 0}
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# [35301484] 0x00ec1190: actual_delay:1021583 our_delay:102 their_delay:-1021345 off_target:297 max_window:2687 upload_rate:18942 delay_base:1021481154 delay_sum:-1021242 target_delay:400 acked_bytes:1441 cur_window:2882 scaled_gain:2.432
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counter = 0
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print "reading log file"
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for l in file:
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if "UTP_Connect" in l:
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title = l[:-2]
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if socket_filter != None:
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title += ' socket: %s' % socket_filter
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else:
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title += ' sum of all sockets'
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continue
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try:
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a = l.strip().split(" ")
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t = a[0][1:-1]
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socket_index = a[1][:-1]
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except:
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continue
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# if socket_index[:2] != '0x':
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# continue
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if socket_filter != None and socket_index != socket_filter:
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continue
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counter += 1
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if (counter % 300 == 0):
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print "\r%d " % counter,
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if "lost." in l:
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packet_loss = packet_loss + 1
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continue
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if "Packet timeout" in l:
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packet_timeout = packet_timeout + 1
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continue
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if "our_delay:" not in l:
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continue
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# used for Logf timestamps
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# t, m = t.split(".")
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# t = time.strptime(t, "%H:%M:%S")
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# t = list(t)
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# t[0] += 107
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# t = tuple(t)
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# m = float(m)
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# m /= 1000.0
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# t = time.mktime(t) + m
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# used for tick count timestamps
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t = int(t)
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if begin is None:
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begin = t
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t = t - begin
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# print time. Convert from milliseconds to seconds
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print >>out, '%f\t' % (float(t)/1000.),
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#if t > 200000:
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# break
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fill_columns = not columns
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for i in a[2:]:
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try:
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n, v = i.split(':')
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except:
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continue
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v = float(v)
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if n == "our_delay":
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bucket = v / histogram_quantization
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delay_histogram[bucket] = 1 + delay_histogram.get(bucket, 0)
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if not n in metrics: continue
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if fill_columns:
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columns.append(n)
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if n == "max_window":
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window_size[socket_index] = v
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print >>out, '%f\t' % int(reduce(lambda a,b: a+b, window_size.values())),
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else:
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print >>out, '%f\t' % v,
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print >>out, float(packet_loss * 8000), float(packet_timeout * 8000)
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packet_loss = 0
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packet_timeout = 0
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out.close()
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out = open('%s.histogram' % out_file, 'wb')
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for d,f in delay_histogram.iteritems():
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print >>out, float(d*histogram_quantization) + histogram_quantization / 2, f
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out.close()
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plot = [
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{
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'data': ['upload_rate', 'max_window', 'cur_window', 'wnduser', 'cur_window_packets', 'packet_size', 'rtt'],
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'title': 'send-packet-size',
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'y1': 'Bytes',
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'y2': 'Time (ms)'
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},
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{
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'data': ['our_delay', 'max_window', 'target_delay', 'cur_window', 'wnduser', 'cur_window_packets'],
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'title': 'uploading',
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'y1': 'Bytes',
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'y2': 'Time (ms)'
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},
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{
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'data': ['our_delay', 'max_window', 'target_delay', 'cur_window', 'cur_window_packets'],
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'title': 'uploading_packets',
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'y1': 'Bytes',
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'y2': 'Time (ms)'
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},
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{
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'data': ['get_microseconds'],
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'title': 'timer',
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'y1': 'Time microseconds',
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'y2': 'Time (ms)'
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},
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{
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'data': ['their_delay', 'target_delay', 'rtt'],
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'title': 'their_delay',
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'y1': '',
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'y2': 'Time (ms)'
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},
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{
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'data': ['their_actual_delay','their_delay_base'],
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'title': 'their_delay_base',
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'y1': 'Time (us)',
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'y2': ''
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},
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{
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'data': ['our_delay', 'target_delay', 'rtt'],
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'title': 'our-delay',
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'y1': '',
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'y2': 'Time (ms)'
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},
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{
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'data': ['actual_delay', 'delay_base'],
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'title': 'our_delay_base',
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'y1': 'Time (us)',
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'y2': ''
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}
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]
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out = open('utp.gnuplot', 'w+')
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files = ''
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#print >>out, 'set xtics 0, 20'
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print >>out, "set term png size 1280,800"
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print >>out, 'set output "%s.delays.png"' % out_file
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print >>out, 'set xrange [0:250]'
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print >>out, 'set xlabel "delay (ms)"'
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print >>out, 'set boxwidth 1'
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print >>out, 'set style fill solid'
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print >>out, 'set ylabel "number of packets"'
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print >>out, 'plot "%s.histogram" using 1:2 with boxes' % out_file
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print >>out, "set style data steps"
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#print >>out, "set yrange [0:*]"
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print >>out, "set y2range [*:*]"
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files += out_file + '.delays.png '
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#set hidden3d
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#set title "Peer bandwidth distribution"
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#set xlabel "Ratio"
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for p in plot:
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print >>out, 'set title "%s %s"' % (p['title'], title)
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print >>out, 'set xlabel "time (s)"'
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print >>out, 'set ylabel "%s"' % p['y1']
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print >>out, "set tics nomirror"
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print >>out, 'set y2tics'
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print >>out, 'set y2label "%s"' % p['y2']
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print >>out, 'set xrange [0:*]'
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print >>out, "set key box"
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print >>out, "set term png size 1280,800"
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print >>out, 'set output "%s-%s.png"' % (out_file, p['title'])
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files += '%s-%s.png ' % (out_file, p['title'])
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comma = ''
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print >>out, "plot",
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for c in p['data']:
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if not c in metrics: continue
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i = columns.index(c)
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print >>out, '%s"%s" using 1:%d title "%s-%s" axes %s with %s' % (comma, out_file, i + 2, metrics[c][0], metrics[c][1], metrics[c][1], metrics[c][2]),
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comma = ', '
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print >>out, ''
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out.close()
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os.system("gnuplot utp.gnuplot")
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os.system("open %s" % files)
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