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# SPDX-License-Identifier: GPL-2.0
"Print out distribution of the number of regions in the given record"
import argparse
import sys
import tempfile
import _damo_dist
import _damo_records
def set_argparser(parser):
parser.add_argument('--input', '-i', type=str, metavar='<file>',
default='damon.data', help='input file name')
parser.add_argument('--range', '-r', type=int, nargs=3,
metavar=('<start>', '<stop>', '<step>'),
help='range of percentiles to print')
parser.add_argument('--sortby', '-s', choices=['time', 'size'],
help='the metric to be used for sorting the number of regions')
parser.add_argument('--plot', '-p', type=str, metavar='<file>',
help='plot the distribution to an image file')
def main(args):
percentiles = [0, 25, 50, 75, 100]
file_path = args.input
if args.range:
percentiles = range(args.range[0], args.range[1], args.range[2])
nr_regions_sort = True
if args.sortby == 'time':
nr_regions_sort = False
records, err = _damo_records.get_records(record_file=file_path)
if err != None:
print('monitoring result file (%s) parsing failed (%s)' %
(file_path, err))
exit(1)
orig_stdout = sys.stdout
if args.plot:
tmp_path = tempfile.mkstemp()[1]
tmp_file = open(tmp_path, 'w')
sys.stdout = tmp_file
print('# <percentile> <# regions>')
for record in records:
nr_regions_dist = []
# Skip firs 20 regions as those would not adaptively adjusted
for snapshot in record.snapshots[20:]:
nr_regions_dist.append(len(snapshot.regions))
if nr_regions_sort:
nr_regions_dist.sort(reverse=False)
print('# target_id\t%s' % record.target_id)
print('# avr:\t%d' % (sum(nr_regions_dist) / len(nr_regions_dist)))
for percentile in percentiles:
thres_idx = int(percentile / 100.0 * len(nr_regions_dist))
if thres_idx == len(nr_regions_dist):
thres_idx -= 1
threshold = nr_regions_dist[thres_idx]
print('%d\t%d' % (percentile, nr_regions_dist[thres_idx]))
if args.plot:
sys.stdout = orig_stdout
tmp_file.flush()
tmp_file.close()
xlabel = 'runtime (percent)'
if nr_regions_sort:
xlabel = 'percentile'
err = _damo_dist.plot_dist(tmp_path, args.plot, xlabel,
'number of monitoring target regions')
if err:
print('plot failed (%s)' % err)
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