1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
|
#!/usr/bin/env python3
# SPDX-License-Identifier: GPL-2.0-or-later
# Copyright (C) 2020, Google Inc.
#
# Author: Paul Elder <paul.elder@ideasonboard.com>
#
# analyze-ipa-trace.py - Example of how to extract information from libcamera lttng traces
import argparse
import bt2
import statistics as stats
import sys
# pipeline -> {function -> stack(timestamps)}
timestamps = {}
# pipeline:function -> samples[]
samples = {}
def main(argv):
parser = argparse.ArgumentParser(
description='A simple analysis script to get statistics on time taken for IPA calls')
parser.add_argument('-p', '--pipeline', type=str,
help='Name of pipeline to filter for')
parser.add_argument('trace_path', type=str,
help='Path to lttng trace (eg. ~/lttng-traces/demo-20201029-184003)')
args = parser.parse_args(argv[1:])
traces = bt2.TraceCollectionMessageIterator(args.trace_path)
for msg in traces:
if type(msg) is not bt2._EventMessageConst or \
'pipeline_name' not in msg.event.payload_field or \
(args.pipeline is not None and \
msg.event.payload_field['pipeline_name'] != args.pipeline):
continue
pipeline = msg.event.payload_field['pipeline_name']
event = msg.event.name
func = msg.event.payload_field['function_name']
timestamp_ns = msg.default_clock_snapshot.ns_from_origin
if event == 'libcamera:ipa_call_begin':
if pipeline not in timestamps:
timestamps[pipeline] = {}
if func not in timestamps[pipeline]:
timestamps[pipeline][func] = []
timestamps[pipeline][func].append(timestamp_ns)
if event == 'libcamera:ipa_call_end':
ts = timestamps[pipeline][func].pop()
key = f'{pipeline}:{func}'
if key not in samples:
samples[key] = []
samples[key].append(timestamp_ns - ts)
# Compute stats
rows = []
rows.append(['pipeline:function', 'min', 'max', 'mean', 'stddev'])
for k, v in samples.items():
mean = int(stats.mean(v))
stddev = int(stats.stdev(v))
minv = min(v)
maxv = max(v)
rows.append([k, str(minv), str(maxv), str(mean), str(stddev)])
# Get maximum string width for every column
widths = []
for i in range(len(rows[0])):
widths.append(max([len(row[i]) for row in rows]))
# Print stats table
for row in rows:
fmt = [row[i].rjust(widths[i]) for i in range(1, 5)]
print('{} {} {} {} {}'.format(row[0].ljust(widths[0]), *fmt))
if __name__ == '__main__':
sys.exit(main(sys.argv))
|
