view contrib/perf-utils/perf-revlog-write-plot.py @ 50113:cf8b9c80d67c

dirstate: issue a developer warning on implicit write on wlock release

Our goal is to get rid of all these to clarify the writing pattern, so it is
time to warn about this (and later, forbid it).

#!/usr/bin/env python3
#
#  Copyright 2018 Paul Morelle <[e-mail]>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
#
# This script use the output of `hg perfrevlogwrite -T json --details` to draw
# various plot related to write performance in a revlog
#
# usage: perf-revlog-write-plot.py details.json
import json
import re

import numpy as np
import scipy.signal

from matplotlib import (
    pyplot as plt,
    ticker as mticker,
)


def plot(data, title=None):
    items = {}
    re_title = re.compile(r'^revisions #\d+ of \d+, rev (\d+)$')
    for item in data:
        m = re_title.match(item['title'])
        if m is None:
            continue

        rev = int(m.group(1))
        items[rev] = item

    min_rev = min(items.keys())
    max_rev = max(items.keys())
    ary = np.empty((2, max_rev - min_rev + 1))
    for rev, item in items.items():
        ary[0][rev - min_rev] = rev
        ary[1][rev - min_rev] = item['wall']

    fig = plt.figure()
    comb_plt = fig.add_subplot(211)
    other_plt = fig.add_subplot(212)

    comb_plt.plot(
        ary[0], np.cumsum(ary[1]), color='red', linewidth=1, label='comb'
    )

    plots = []
    p = other_plt.plot(ary[0], ary[1], color='red', linewidth=1, label='wall')
    plots.append(p)

    colors = {
        10: ('green', 'xkcd:grass green'),
        100: ('blue', 'xkcd:bright blue'),
        1000: ('purple', 'xkcd:dark pink'),
    }
    for n, color in colors.items():
        avg_n = np.convolve(ary[1], np.full(n, 1.0 / n), 'valid')
        p = other_plt.plot(
            ary[0][n - 1 :],
            avg_n,
            color=color[0],
            linewidth=1,
            label='avg time last %d' % n,
        )
        plots.append(p)

        med_n = scipy.signal.medfilt(ary[1], n + 1)
        p = other_plt.plot(
            ary[0],
            med_n,
            color=color[1],
            linewidth=1,
            label='median time last %d' % n,
        )
        plots.append(p)

    formatter = mticker.ScalarFormatter()
    formatter.set_scientific(False)
    formatter.set_useOffset(False)

    comb_plt.grid()
    comb_plt.xaxis.set_major_formatter(formatter)
    comb_plt.legend()

    other_plt.grid()
    other_plt.xaxis.set_major_formatter(formatter)
    leg = other_plt.legend()
    leg2plot = {}
    for legline, plot in zip(leg.get_lines(), plots):
        legline.set_picker(5)
        leg2plot[legline] = plot

    def onpick(event):
        legline = event.artist
        plot = leg2plot[legline]
        visible = not plot[0].get_visible()
        for l in plot:
            l.set_visible(visible)

        if visible:
            legline.set_alpha(1.0)
        else:
            legline.set_alpha(0.2)
        fig.canvas.draw()

    if title is not None:
        fig.canvas.set_window_title(title)
    fig.canvas.mpl_connect('pick_event', onpick)

    plt.show()


if __name__ == '__main__':
    import sys

    if len(sys.argv) > 1:
        print('reading from %r' % sys.argv[1])
        with open(sys.argv[1], 'r') as fp:
            plot(json.load(fp), title=sys.argv[1])
    else:
        print('reading from stdin')
        plot(json.load(sys.stdin))