1 #!/usr/bin/env python3
2 # SPDX-License-Identifier: GPL-2.0
3
4 import subprocess
5 import time
6
7 import _damon_sysfs
8
9 def test_nr_regions(real_nr_regions, min_nr_regions, max_nr_regions):
10 '''
11 Create process of the given 'real_nr_regions' regions, monitor it using
12 DAMON with given '{min,max}_nr_regions' monitoring parameter.
13
14 Exit with non-zero return code if the given {min,max}_nr_regions is not
15 kept.
16 '''
17 sz_region = 10 * 1024 * 1024
18 proc = subprocess.Popen(['./access_memory_even', '%d' % real_nr_regions,
19 '%d' % sz_region])
20
21 # stat every monitored regions
22 kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond(
23 contexts=[_damon_sysfs.DamonCtx(
24 monitoring_attrs=_damon_sysfs.DamonAttrs(
25 min_nr_regions=min_nr_regions,
26 max_nr_regions=max_nr_regions),
27 ops='vaddr',
28 targets=[_damon_sysfs.DamonTarget(pid=proc.pid)],
29 schemes=[_damon_sysfs.Damos(action='stat',
30 )] # schemes
31 )] # contexts
32 )]) # kdamonds
33
34 err = kdamonds.start()
35 if err is not None:
36 proc.terminate()
37 print('kdamond start failed: %s' % err)
38 exit(1)
39
40 collected_nr_regions = []
41 while proc.poll() is None:
42 time.sleep(0.1)
43 err = kdamonds.kdamonds[0].update_schemes_tried_regions()
44 if err is not None:
45 proc.terminate()
46 print('tried regions update failed: %s' % err)
47 exit(1)
48
49 scheme = kdamonds.kdamonds[0].contexts[0].schemes[0]
50 if scheme.tried_regions is None:
51 proc.terminate()
52 print('tried regions is not collected')
53 exit(1)
54
55 nr_tried_regions = len(scheme.tried_regions)
56 if nr_tried_regions <= 0:
57 proc.terminate()
58 print('tried regions is not created')
59 exit(1)
60 collected_nr_regions.append(nr_tried_regions)
61 if len(collected_nr_regions) > 10:
62 break
63 proc.terminate()
64 kdamonds.stop()
65
66 test_name = 'nr_regions test with %d/%d/%d real/min/max nr_regions' % (
67 real_nr_regions, min_nr_regions, max_nr_regions)
68 if (collected_nr_regions[0] < min_nr_regions or
69 collected_nr_regions[-1] > max_nr_regions):
70 print('fail %s' % test_name)
71 print('number of regions that collected are:')
72 for nr in collected_nr_regions:
73 print(nr)
74 exit(1)
75 print('pass %s ' % test_name)
76
77 def main():
78 # test min_nr_regions larger than real nr regions
79 test_nr_regions(10, 20, 100)
80
81 # test max_nr_regions smaller than real nr regions
82 test_nr_regions(15, 3, 10)
83
84 # test online-tuned max_nr_regions that smaller than real nr regions
85 sz_region = 10 * 1024 * 1024
86 proc = subprocess.Popen(['./access_memory_even', '14', '%d' % sz_region])
87
88 # stat every monitored regions
89 kdamonds = _damon_sysfs.Kdamonds([_damon_sysfs.Kdamond(
90 contexts=[_damon_sysfs.DamonCtx(
91 monitoring_attrs=_damon_sysfs.DamonAttrs(
92 min_nr_regions=10, max_nr_regions=1000),
93 ops='vaddr',
94 targets=[_damon_sysfs.DamonTarget(pid=proc.pid)],
95 schemes=[_damon_sysfs.Damos(action='stat',
96 )] # schemes
97 )] # contexts
98 )]) # kdamonds
99
100 err = kdamonds.start()
101 if err is not None:
102 proc.terminate()
103 print('kdamond start failed: %s' % err)
104 exit(1)
105
106 # wait until the real regions are found
107 time.sleep(3)
108
109 attrs = kdamonds.kdamonds[0].contexts[0].monitoring_attrs
110 attrs.min_nr_regions = 3
111 attrs.max_nr_regions = 7
112 err = kdamonds.kdamonds[0].commit()
113 if err is not None:
114 proc.terminate()
115 print('commit failed: %s' % err)
116 exit(1)
117 # wait for next merge operation is executed
118 time.sleep(0.3)
119
120 err = kdamonds.kdamonds[0].update_schemes_tried_regions()
121 if err is not None:
122 proc.terminate()
123 print('tried regions update failed: %s' % err)
124 exit(1)
125
126 scheme = kdamonds.kdamonds[0].contexts[0].schemes[0]
127 if scheme.tried_regions is None:
128 proc.terminate()
129 print('tried regions is not collected')
130 exit(1)
131
132 nr_tried_regions = len(scheme.tried_regions)
133 if nr_tried_regions <= 0:
134 proc.terminate()
135 print('tried regions is not created')
136 exit(1)
137 proc.terminate()
138
139 if nr_tried_regions > 7:
140 print('fail online-tuned max_nr_regions: %d > 7' % nr_tried_regions)
141 exit(1)
142 print('pass online-tuned max_nr_regions')
143
144 if __name__ == '__main__':
145 main()
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