"""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()