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https://gitlab.winehq.org/wine/wine-gecko.git
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105 lines
2.6 KiB
Python
105 lines
2.6 KiB
Python
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#!/usr/bin/env python
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# graph_latency.py - graph media latency
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#
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# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at http://mozilla.org/MPL/2.0/.
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# needs matplotlib (sudo aptitude install python-matplotlib)
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import matplotlib.pyplot as plt
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from matplotlib import rc
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import sys
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from pprint import pprint
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import re
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# FIX! needs to be sum of a single mediastreamtrack and any output overhead for it
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# So there is one sum per MST
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def compute_sum(data):
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'Compute the sum for each timestamp. This expects the output of parse_data.'
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last_values = {}
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out = ([],[])
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for i in data:
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if i[0] not in last_values.keys():
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last_values[i[0]] = 0
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last_values[i[0]] = float(i[3])
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print last_values
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out[0].append(i[2])
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out[1].append(sum(last_values.values()))
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return out
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def clean_data(raw_data):
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'''
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Remove the PR_LOG cruft at the beginning of each line and returns a list of
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tuple.
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'''
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out = []
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for line in raw_data:
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match = re.match(r'(.*)#(.*)', line)
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if match:
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continue
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else:
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out.append(line.split(": ")[1])
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return out
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# returns a list of tuples
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def parse_data(raw_lines):
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'''
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Split each line by , and put every bit in a tuple.
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'''
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out = []
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for line in raw_lines:
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out.append(line.split(','))
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return out
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if len(sys.argv) == 3:
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name = sys.argv[1]
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channels = int(sys.argv[2])
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else:
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print sys.argv[0] + "latency_log"
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try:
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f = open(sys.argv[1])
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except:
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print "cannot open " + name
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raw_lines = f.readlines()
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lines = clean_data(raw_lines)
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data = parse_data(lines)
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final_data = {}
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for tupl in data:
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name = tupl[0]
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if tupl[1] != 0:
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name = name+tupl[1]
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if name not in final_data.keys():
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final_data[name] = ([], [])
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# sanity-check values
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if float(tupl[3]) < 10*1000:
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final_data[name][0].append(float(tupl[2]))
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final_data[name][1].append(float(tupl[3]))
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#overall = compute_sum(data)
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#final_data["overall"] = overall
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pprint(final_data)
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fig = plt.figure()
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for i in final_data.keys():
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plt.plot(final_data[i][0], final_data[i][1], label=i)
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plt.legend()
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plt.suptitle("Latency in ms (y-axis) against time in ms (x-axis).")
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size = fig.get_size_inches()
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# make it gigantic so we can see things. sometimes, if the graph is too big,
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# this errors. reduce the factor so it stays under 2**15.
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fig.set_size_inches((size[0]*10, size[1]*2))
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name = sys.argv[1][:-4] + ".pdf"
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fig.savefig(name)
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