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"""Plot Benchmarks for docs
$ export PYTHONPATH=/Users/grantj/repos/python-diskcache
$ python tests/plot.py --show tests/timings_core_p1.txt
"""
import argparse
import collections as co
import re
import sys
import matplotlib.pyplot as plt
def parse_timing(timing, limit):
"""Parse timing."""
if timing.endswith('ms'):
value = float(timing[:-2]) * 1e-3
elif timing.endswith('us'):
value = float(timing[:-2]) * 1e-6
else:
assert timing.endswith('s')
value = float(timing[:-1])
return 0.0 if value > limit else value * 1e6
def parse_row(row, line):
"""Parse row."""
return [val.strip() for val in row.match(line).groups()]
def parse_data(infile):
"""Parse data from `infile`."""
blocks = re.compile(' '.join(['=' * 9] * 8))
dashes = re.compile('^-{79}$')
title = re.compile('^Timings for (.*)$')
row = re.compile(' '.join(['(.{9})'] * 7) + ' (.{8,9})')
lines = infile.readlines()
data = co.OrderedDict()
index = 0
while index < len(lines):
line = lines[index]
if blocks.match(line):
try:
name = title.match(lines[index + 1]).group(1)
except Exception:
index += 1
continue
data[name] = {}
assert dashes.match(lines[index + 2])
cols = parse_row(row, lines[index + 3])
assert blocks.match(lines[index + 4])
get_row = parse_row(row, lines[index + 5])
assert get_row[0] == 'get'
set_row = parse_row(row, lines[index + 6])
assert set_row[0] == 'set'
delete_row = parse_row(row, lines[index + 7])
assert delete_row[0] == 'delete'
assert blocks.match(lines[index + 9])
data[name]['get'] = dict(zip(cols, get_row))
data[name]['set'] = dict(zip(cols, set_row))
data[name]['delete'] = dict(zip(cols, delete_row))
index += 10
else:
index += 1
return data
def make_plot(data, action, save=False, show=False, limit=0.005):
"""Make plot."""
fig, ax = plt.subplots(figsize=(8, 10))
colors = ['#ff7f00', '#377eb8', '#4daf4a', '#984ea3', '#e41a1c']
width = 0.15
ticks = ('Median', 'P90', 'P99')
index = (0, 1, 2)
names = list(data)
bars = []
for pos, (name, color) in enumerate(zip(names, colors)):
bars.append(
ax.bar(
[val + pos * width for val in index],
[
parse_timing(data[name][action][tick], limit)
for tick in ticks
],
width,
color=color,
)
)
ax.set_ylabel('Time (microseconds)')
ax.set_title('"%s" Time vs Percentile' % action)
ax.set_xticks([val + width * (len(data) / 2) for val in index])
ax.set_xticklabels(ticks)
box = ax.get_position()
ax.set_position(
[box.x0, box.y0 + box.height * 0.2, box.width, box.height * 0.8]
)
ax.legend(
[bar[0] for bar in bars],
names,
loc='lower center',
bbox_to_anchor=(0.5, -0.25),
)
if show:
plt.show()
if save:
plt.savefig('%s-%s.png' % (save, action), dpi=120, bbox_inches='tight')
plt.close()
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
'infile',
type=argparse.FileType('r'),
default=sys.stdin,
)
parser.add_argument('-l', '--limit', type=float, default=0.005)
parser.add_argument('-s', '--save')
parser.add_argument('--show', action='store_true')
args = parser.parse_args()
data = parse_data(args.infile)
for action in ['get', 'set', 'delete']:
make_plot(data, action, args.save, args.show, args.limit)
if __name__ == '__main__':
main()
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