374 lines
12 KiB
Python
Executable File
374 lines
12 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright (C) 2011 by Thomas Petazzoni <thomas.petazzoni@free-electrons.com>
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# Copyright (C) 2013 by Yann E. MORIN <yann.morin.1998@free.fr>
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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# General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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# This script generates graphs of packages build time, from the timing
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# data generated by Buildroot in the $(O)/build-time.log file.
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#
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# Example usage:
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#
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# cat $(O)/build-time.log | ./support/scripts/graph-build-time --type=histogram --output=foobar.pdf
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#
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# Three graph types are available :
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#
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# * histogram, which creates an histogram of the build time for each
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# package, decomposed by each step (extract, patch, configure,
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# etc.). The order in which the packages are shown is
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# configurable: by package name, by build order, or by duration
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# order. See the --order option.
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#
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# * pie-packages, which creates a pie chart of the build time of
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# each package (without decomposition in steps). Packages that
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# contributed to less than 1% of the overall build time are all
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# grouped together in an "Other" entry.
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#
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# * pie-steps, which creates a pie chart of the time spent globally
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# on each step (extract, patch, configure, etc...)
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#
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# The default is to generate an histogram ordered by package name.
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#
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# Requirements:
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#
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# * matplotlib (python-matplotlib on Debian/Ubuntu systems)
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# * numpy (python-numpy on Debian/Ubuntu systems)
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# * argparse (by default in Python 2.7, requires python-argparse if
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# Python 2.6 is used)
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import sys
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try:
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import matplotlib as mpl
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import numpy
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except ImportError:
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sys.stderr.write("You need python-matplotlib and python-numpy to generate build graphs\n")
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exit(1)
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# Use the Agg backend (which produces a PNG output, see
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# http://matplotlib.org/faq/usage_faq.html#what-is-a-backend),
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# otherwise an incorrect backend is used on some host machines).
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# Note: matplotlib.use() must be called *before* matplotlib.pyplot.
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mpl.use('Agg')
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import matplotlib.pyplot as plt # noqa: E402
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import matplotlib.font_manager as fm # noqa: E402
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import csv # noqa: E402
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import argparse # noqa: E402
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steps = ['download', 'extract', 'patch', 'configure', 'build',
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'install-target', 'install-staging', 'install-images',
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'install-host']
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default_colors = ['#8d02ff', '#e60004', '#009836', '#2e1d86', '#ffed00',
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'#0068b5', '#f28e00', '#940084', '#97c000']
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alternate_colors = ['#ffbe0a', '#96bdff', '#3f7f7f', '#ff0000', '#00c000',
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'#0080ff', '#c000ff', '#00eeee', '#e0e000']
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class Package:
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def __init__(self, name):
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self.name = name
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self.steps_duration = {}
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self.steps_start = {}
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self.steps_end = {}
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def add_step(self, step, state, time):
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if state == "start":
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self.steps_start[step] = time
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else:
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self.steps_end[step] = time
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if step in self.steps_start and step in self.steps_end:
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self.steps_duration[step] = self.steps_end[step] - self.steps_start[step]
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def get_duration(self, step=None):
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if step is None:
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duration = 0
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for step in list(self.steps_duration.keys()):
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duration += self.steps_duration[step]
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return duration
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if step in self.steps_duration:
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return self.steps_duration[step]
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return 0
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# Generate an histogram of the time spent in each step of each
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# package.
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def pkg_histogram(data, output, order="build"):
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n_pkgs = len(data)
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ind = numpy.arange(n_pkgs)
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if order == "duration":
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data = sorted(data, key=lambda p: p.get_duration(), reverse=True)
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elif order == "name":
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data = sorted(data, key=lambda p: p.name, reverse=False)
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# Prepare the vals array, containing one entry for each step
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vals = []
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for step in steps:
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val = []
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for p in data:
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val.append(p.get_duration(step))
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vals.append(val)
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bottom = [0] * n_pkgs
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legenditems = []
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plt.figure()
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# Draw the bars, step by step
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for i in range(0, len(vals)):
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b = plt.bar(ind+0.1, vals[i], width=0.8, color=colors[i], bottom=bottom, linewidth=0.25)
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legenditems.append(b[0])
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bottom = [bottom[j] + vals[i][j] for j in range(0, len(vals[i]))]
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# Draw the package names
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plt.xticks(ind + .6, [p.name for p in data], rotation=-60, rotation_mode="anchor", fontsize=8, ha='left')
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# Adjust size of graph depending on the number of packages
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# Ensure a minimal size twice as the default
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# Magic Numbers do Magic Layout!
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ratio = max(((n_pkgs + 10) / 48, 2))
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borders = 0.1 / ratio
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sz = plt.gcf().get_figwidth()
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plt.gcf().set_figwidth(sz * ratio)
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# Adjust space at borders, add more space for the
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# package names at the bottom
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plt.gcf().subplots_adjust(bottom=0.2, left=borders, right=1-borders)
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# Remove ticks in the graph for each package
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axes = plt.gcf().gca()
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for line in axes.get_xticklines():
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line.set_markersize(0)
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axes.set_ylabel('Time (seconds)')
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# Reduce size of legend text
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leg_prop = fm.FontProperties(size=6)
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# Draw legend
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plt.legend(legenditems, steps, prop=leg_prop)
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if order == "name":
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plt.title('Build time of packages\n')
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elif order == "build":
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plt.title('Build time of packages, by build order\n')
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elif order == "duration":
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plt.title('Build time of packages, by duration order\n')
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# Save graph
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plt.savefig(output)
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# Generate a pie chart with the time spent building each package.
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def pkg_pie_time_per_package(data, output):
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# Compute total build duration
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total = 0
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for p in data:
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total += p.get_duration()
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# Build the list of labels and values, and filter the packages
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# that account for less than 1% of the build time.
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labels = []
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values = []
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other_value = 0
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for p in sorted(data, key=lambda p: p.get_duration()):
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if p.get_duration() < (total * 0.01):
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other_value += p.get_duration()
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else:
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labels.append(p.name)
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values.append(p.get_duration())
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labels.append('Other')
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values.append(other_value)
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plt.figure()
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# Draw pie graph
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patches, texts, autotexts = plt.pie(values, labels=labels,
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autopct='%1.1f%%', shadow=True,
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colors=colors)
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# Reduce text size
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proptease = fm.FontProperties()
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proptease.set_size('xx-small')
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plt.setp(autotexts, fontproperties=proptease)
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plt.setp(texts, fontproperties=proptease)
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plt.title('Build time per package')
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plt.savefig(output)
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# Generate a pie chart with a portion for the overall time spent in
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# each step for all packages.
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def pkg_pie_time_per_step(data, output):
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steps_values = []
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for step in steps:
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val = 0
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for p in data:
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val += p.get_duration(step)
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steps_values.append(val)
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plt.figure()
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# Draw pie graph
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patches, texts, autotexts = plt.pie(steps_values, labels=steps,
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autopct='%1.1f%%', shadow=True,
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colors=colors)
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# Reduce text size
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proptease = fm.FontProperties()
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proptease.set_size('xx-small')
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plt.setp(autotexts, fontproperties=proptease)
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plt.setp(texts, fontproperties=proptease)
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plt.title('Build time per step')
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plt.savefig(output)
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def pkg_timeline(data, output):
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start = 0
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end = 0
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# Find the first timestamp and the last timestamp
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for p in data:
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for k, v in p.steps_start.items():
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if start == 0 or v < start:
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start = v
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if end < v:
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end = v
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# Readjust all timestamps so that 0 is the start of the build
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# instead of being Epoch
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for p in data:
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for k, v in p.steps_start.items():
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p.steps_start[k] = v - start
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for k, v in p.steps_end.items():
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p.steps_end[k] = v - start
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plt.figure()
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i = 0
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labels_names = []
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labels_coords = []
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# put last packages that started to configure last; this does not
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# give the proper dependency chain, but still provides a good-enough
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# cascade graph.
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for p in sorted(data, reverse=True, key=lambda x: x.steps_start['configure']):
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durations = []
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facecolors = []
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for step in steps:
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if step not in p.steps_start or step not in p.steps_end:
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continue
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durations.append((p.steps_start[step],
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p.steps_end[step] - p.steps_start[step]))
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facecolors.append(colors[steps.index(step)])
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plt.broken_barh(durations, (i, 6), facecolors=facecolors)
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labels_coords.append(i + 3)
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labels_names.append(p.name)
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i += 10
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axes = plt.gcf().gca()
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axes.set_ylim(0, i + 10)
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axes.set_xlim(0, end - start)
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axes.set_xlabel('seconds since start')
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axes.set_yticks(labels_coords)
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axes.set_yticklabels(labels_names)
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axes.set_axisbelow(True)
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axes.grid(True, linewidth=0.2, zorder=-1)
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plt.gcf().subplots_adjust(left=0.2)
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plt.tick_params(axis='y', which='both', labelsize=6)
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plt.title('Timeline')
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plt.savefig(output, dpi=300)
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# Parses the csv file passed on standard input and returns a list of
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# Package objects, filed with the duration of each step and the total
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# duration of the package.
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def read_data(input_file):
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if input_file is None:
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input_file = sys.stdin
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else:
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input_file = open(input_file)
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reader = csv.reader(input_file, delimiter=':')
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pkgs = []
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# Auxilliary function to find a package by name in the list.
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def getpkg(name):
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for p in pkgs:
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if p.name == name:
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return p
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return None
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for row in reader:
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time = float(row[0].strip())
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state = row[1].strip()
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step = row[2].strip()
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pkg = row[3].strip()
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p = getpkg(pkg)
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if p is None:
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p = Package(pkg)
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pkgs.append(p)
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p.add_step(step, state, time)
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return pkgs
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parser = argparse.ArgumentParser(description='Draw build time graphs')
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parser.add_argument("--type", '-t', metavar="GRAPH_TYPE",
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help="Type of graph (histogram, pie-packages, pie-steps, timeline)")
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parser.add_argument("--order", '-O', metavar="GRAPH_ORDER",
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help="Ordering of packages: build or duration (for histogram only)")
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parser.add_argument("--alternate-colors", '-c', action="store_true",
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help="Use alternate colour-scheme")
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parser.add_argument("--input", '-i', metavar="INPUT",
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help="Input file (usually $(O)/build/build-time.log)")
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parser.add_argument("--output", '-o', metavar="OUTPUT", required=True,
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help="Output file (.pdf or .png extension)")
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args = parser.parse_args()
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d = read_data(args.input)
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if args.alternate_colors:
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colors = alternate_colors
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else:
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colors = default_colors
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if args.type == "histogram" or args.type is None:
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if args.order == "build" or args.order == "duration" or args.order == "name":
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pkg_histogram(d, args.output, args.order)
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elif args.order is None:
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pkg_histogram(d, args.output, "name")
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else:
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sys.stderr.write("Unknown ordering: %s\n" % args.order)
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exit(1)
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elif args.type == "pie-packages":
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pkg_pie_time_per_package(d, args.output)
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elif args.type == "pie-steps":
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pkg_pie_time_per_step(d, args.output)
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elif args.type == "timeline":
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pkg_timeline(d, args.output)
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else:
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sys.stderr.write("Unknown type: %s\n" % args.type)
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exit(1)
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