Add m-esr52 at 52.6.0

1 files changed, 104 insertions, 0 deletions

diff --git a/dom/media/test/graph_latency.py b/dom/media/test/graph_latency.py
new file mode 100644
index 000000000..576f58d86
--- /dev/null
+++ b/dom/media/test/graph_latency.py
@@ -0,0 +1,104 @@
+#!/usr/bin/env python
+# graph_latency.py - graph media latency
+#
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+# needs matplotlib (sudo aptitude install python-matplotlib)
+
+import matplotlib.pyplot as plt
+from matplotlib import rc
+import sys
+from pprint import pprint
+import re
+
+
+# FIX!  needs to be sum of a single mediastreamtrack and any output overhead for it
+# So there is one sum per MST
+def compute_sum(data):
+    'Compute the sum for each timestamp. This expects the output of parse_data.'
+    last_values = {}
+    out = ([],[])
+
+    for i in data:
+        if i[0] not in last_values.keys():
+          last_values[i[0]] = 0
+        last_values[i[0]] = float(i[3])
+        print last_values
+        out[0].append(i[2])
+        out[1].append(sum(last_values.values()))
+    return out
+
+
+def clean_data(raw_data):
+    '''
+    Remove the PR_LOG cruft at the beginning of each line and returns a list of
+    tuple.
+    '''
+    out = []
+    for line in raw_data:
+        match = re.match(r'(.*)#(.*)', line)
+        if match:
+	    continue
+	else:
+            out.append(line.split(": ")[1])
+    return out
+
+# returns a list of tuples
+def parse_data(raw_lines):
+    '''
+    Split each line by , and put every bit in a tuple.
+    '''
+    out = []
+    for line in raw_lines:
+        out.append(line.split(','))
+    return out
+
+if len(sys.argv) == 3:
+    name = sys.argv[1]
+    channels = int(sys.argv[2])
+else:
+    print sys.argv[0] + "latency_log"
+
+try:
+    f = open(sys.argv[1])
+except:
+    print "cannot open " + name
+
+raw_lines = f.readlines()
+lines = clean_data(raw_lines)
+data = parse_data(lines)
+
+final_data = {}
+
+for tupl in data:
+    name = tupl[0]
+    if tupl[1] != 0:
+        name = name+tupl[1]
+    if name not in final_data.keys():
+        final_data[name] = ([], [])
+# sanity-check values
+    if float(tupl[3]) < 10*1000:
+        final_data[name][0].append(float(tupl[2]))
+        final_data[name][1].append(float(tupl[3]))
+
+#overall = compute_sum(data)
+#final_data["overall"] = overall
+
+pprint(final_data)
+
+fig = plt.figure()
+for i in final_data.keys():
+    plt.plot(final_data[i][0], final_data[i][1], label=i)
+
+plt.legend()
+plt.suptitle("Latency in ms (y-axis) against time in ms (x-axis).")
+
+size = fig.get_size_inches()
+# make it gigantic so we can see things. sometimes, if the graph is too big,
+# this errors. reduce the factor so it stays under 2**15.
+fig.set_size_inches((size[0]*10, size[1]*2))
+name = sys.argv[1][:-4] + ".pdf"
+fig.savefig(name)
+