1.1 --- /dev/null Thu Jan 01 00:00:00 1970 +0000
1.2 +++ b/content/media/test/graph_latency.py Wed Dec 31 06:09:35 2014 +0100
1.3 @@ -0,0 +1,104 @@
1.4 +#!/usr/bin/env python
1.5 +# graph_latency.py - graph media latency
1.6 +#
1.7 +# This Source Code Form is subject to the terms of the Mozilla Public
1.8 +# License, v. 2.0. If a copy of the MPL was not distributed with this
1.9 +# file, You can obtain one at http://mozilla.org/MPL/2.0/.
1.10 +
1.11 +# needs matplotlib (sudo aptitude install python-matplotlib)
1.12 +
1.13 +import matplotlib.pyplot as plt
1.14 +from matplotlib import rc
1.15 +import sys
1.16 +from pprint import pprint
1.17 +import re
1.18 +
1.19 +
1.20 +# FIX! needs to be sum of a single mediastreamtrack and any output overhead for it
1.21 +# So there is one sum per MST
1.22 +def compute_sum(data):
1.23 + 'Compute the sum for each timestamp. This expects the output of parse_data.'
1.24 + last_values = {}
1.25 + out = ([],[])
1.26 +
1.27 + for i in data:
1.28 + if i[0] not in last_values.keys():
1.29 + last_values[i[0]] = 0
1.30 + last_values[i[0]] = float(i[3])
1.31 + print last_values
1.32 + out[0].append(i[2])
1.33 + out[1].append(sum(last_values.values()))
1.34 + return out
1.35 +
1.36 +
1.37 +def clean_data(raw_data):
1.38 + '''
1.39 + Remove the PR_LOG cruft at the beginning of each line and returns a list of
1.40 + tuple.
1.41 + '''
1.42 + out = []
1.43 + for line in raw_data:
1.44 + match = re.match(r'(.*)#(.*)', line)
1.45 + if match:
1.46 + continue
1.47 + else:
1.48 + out.append(line.split(": ")[1])
1.49 + return out
1.50 +
1.51 +# returns a list of tuples
1.52 +def parse_data(raw_lines):
1.53 + '''
1.54 + Split each line by , and put every bit in a tuple.
1.55 + '''
1.56 + out = []
1.57 + for line in raw_lines:
1.58 + out.append(line.split(','))
1.59 + return out
1.60 +
1.61 +if len(sys.argv) == 3:
1.62 + name = sys.argv[1]
1.63 + channels = int(sys.argv[2])
1.64 +else:
1.65 + print sys.argv[0] + "latency_log"
1.66 +
1.67 +try:
1.68 + f = open(sys.argv[1])
1.69 +except:
1.70 + print "cannot open " + name
1.71 +
1.72 +raw_lines = f.readlines()
1.73 +lines = clean_data(raw_lines)
1.74 +data = parse_data(lines)
1.75 +
1.76 +final_data = {}
1.77 +
1.78 +for tupl in data:
1.79 + name = tupl[0]
1.80 + if tupl[1] != 0:
1.81 + name = name+tupl[1]
1.82 + if name not in final_data.keys():
1.83 + final_data[name] = ([], [])
1.84 +# sanity-check values
1.85 + if float(tupl[3]) < 10*1000:
1.86 + final_data[name][0].append(float(tupl[2]))
1.87 + final_data[name][1].append(float(tupl[3]))
1.88 +
1.89 +#overall = compute_sum(data)
1.90 +#final_data["overall"] = overall
1.91 +
1.92 +pprint(final_data)
1.93 +
1.94 +fig = plt.figure()
1.95 +for i in final_data.keys():
1.96 + plt.plot(final_data[i][0], final_data[i][1], label=i)
1.97 +
1.98 +plt.legend()
1.99 +plt.suptitle("Latency in ms (y-axis) against time in ms (x-axis).")
1.100 +
1.101 +size = fig.get_size_inches()
1.102 +# make it gigantic so we can see things. sometimes, if the graph is too big,
1.103 +# this errors. reduce the factor so it stays under 2**15.
1.104 +fig.set_size_inches((size[0]*10, size[1]*2))
1.105 +name = sys.argv[1][:-4] + ".pdf"
1.106 +fig.savefig(name)
1.107 +
