iperf.py 2.77 KB
Newer Older
Antoine Kaufmann's avatar
Antoine Kaufmann committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
# Copyright 2021 Max Planck Institute for Software Systems, and
# National University of Singapore
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Jonas Kaufmann's avatar
Jonas Kaufmann committed
23
import fnmatch
24
25
26
27
import glob
import json
import re

Jonas Kaufmann's avatar
Jonas Kaufmann committed
28

29
def parse_iperf_run(data, skip=1, use=8):
Jonas Kaufmann's avatar
Jonas Kaufmann committed
30
    tp_pat = re.compile(
Jonas Kaufmann's avatar
Jonas Kaufmann committed
31
32
        r'\[ *\d*\] *([0-9\.]*)- *([0-9\.]*) sec.*Bytes *([0-9\.]*)'
        r' ([GM])bits.*'
Jonas Kaufmann's avatar
Jonas Kaufmann committed
33
    )
34
35
36
37
38
39
40
41
42
43
44
45
46
47
    tps_time = {}
    for hn in fnmatch.filter(data['sims'].keys(), 'host.client.*'):
        sim = data['sims'][hn]
        for l in sim['stdout']:
            m = tp_pat.match(l)
            if not m:
                continue

            time = int(float(m.group(1)))
            if time < skip:
                continue
            if time >= skip + use:
                continue

Jonas Kaufmann's avatar
Jonas Kaufmann committed
48
            if time not in tps_time:
49
50
                tps_time[time] = []

Hejing Li's avatar
Hejing Li committed
51
52
53
            if m.group(4) == 'G':
                tps_time[time].append(float(m.group(3)))
            elif m.group(4) == 'M':
Jonas Kaufmann's avatar
Jonas Kaufmann committed
54
                m_tps = float(m.group(3)) / 1000
Hejing Li's avatar
Hejing Li committed
55
                tps_time[time].append(m_tps)
56
57
58
59
60
61
62
63
64
65

    tps = []
    for t in sorted(tps_time.keys()):
        x = sum(tps_time[t])
        tps.append(x)

    if len(tps) == 0:
        return None
    return sum(tps) / len(tps)

Jonas Kaufmann's avatar
Jonas Kaufmann committed
66

67
68
69
70
71
72
73
def parse_iperf(basename, skip=1, use=8):
    runs = []
    for path in glob.glob(basename + '-*.json'):
        if path == basename + '-0.json':
            # skip checkpoints
            continue

Jonas Kaufmann's avatar
Jonas Kaufmann committed
74
        with open(path, 'r', encoding='utf-8') as f:
75
76
77
78
79
80
81
82
            data = json.load(f)
        result = parse_iperf_run(data, skip, use)
        if result is not None:
            runs.append(result)

    if not runs:
        return {'avg': None, 'min': None, 'max': None}
    else:
Jonas Kaufmann's avatar
Jonas Kaufmann committed
83
84
85
        return {
            'avg': sum(runs) / len(runs), 'min': min(runs), 'max': max(runs)
        }
86
    result = {}