6b13f685e
 김민수
BSP 최초 추가
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
|
#!/usr/bin/env python
# Copyright (C) 2011 by Thomas Petazzoni <thomas.petazzoni@free-electrons.com>
# Copyright (C) 2013 by Yann E. MORIN <yann.morin.1998@free.fr>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
# This script generates graphs of packages build time, from the timing
# data generated by Buildroot in the $(O)/build-time.log file.
#
# Example usage:
#
# cat $(O)/build-time.log | ./support/scripts/graph-build-time --type=histogram --output=foobar.pdf
#
# Three graph types are available :
#
# * histogram, which creates an histogram of the build time for each
# package, decomposed by each step (extract, patch, configure,
# etc.). The order in which the packages are shown is
# configurable: by package name, by build order, or by duration
# order. See the --order option.
#
# * pie-packages, which creates a pie chart of the build time of
# each package (without decomposition in steps). Packages that
# contributed to less than 1% of the overall build time are all
# grouped together in an "Other" entry.
#
# * pie-steps, which creates a pie chart of the time spent globally
# on each step (extract, patch, configure, etc...)
#
# The default is to generate an histogram ordered by package name.
#
# Requirements:
#
# * matplotlib (python-matplotlib on Debian/Ubuntu systems)
# * numpy (python-numpy on Debian/Ubuntu systems)
# * argparse (by default in Python 2.7, requires python-argparse if
# Python 2.6 is used)
import sys
try:
import matplotlib as mpl
import numpy
except ImportError:
sys.stderr.write("You need python-matplotlib and python-numpy to generate build graphs
")
exit(1)
# Use the Agg backend (which produces a PNG output, see
# http://matplotlib.org/faq/usage_faq.html#what-is-a-backend),
# otherwise an incorrect backend is used on some host machines).
# Note: matplotlib.use() must be called *before* matplotlib.pyplot.
mpl.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
import csv
import argparse
steps = [ 'extract', 'patch', 'configure', 'build',
'install-target', 'install-staging', 'install-images',
'install-host']
default_colors = ['#e60004', '#009836', '#2e1d86', '#ffed00',
'#0068b5', '#f28e00', '#940084', '#97c000']
alternate_colors = ['#00e0e0', '#3f7f7f', '#ff0000', '#00c000',
'#0080ff', '#c000ff', '#00eeee', '#e0e000']
class Package:
def __init__(self, name):
self.name = name
self.steps_duration = {}
self.steps_start = {}
self.steps_end = {}
def add_step(self, step, state, time):
if state == "start":
self.steps_start[step] = time
else:
self.steps_end[step] = time
if step in self.steps_start and step in self.steps_end:
self.steps_duration[step] = self.steps_end[step] - self.steps_start[step]
def get_duration(self, step=None):
if step is None:
duration = 0
for step in list(self.steps_duration.keys()):
duration += self.steps_duration[step]
return duration
if step in self.steps_duration:
return self.steps_duration[step]
return 0
# Generate an histogram of the time spent in each step of each
# package.
def pkg_histogram(data, output, order="build"):
n_pkgs = len(data)
ind = numpy.arange(n_pkgs)
if order == "duration":
data = sorted(data, key=lambda p: p.get_duration(), reverse=True)
elif order == "name":
data = sorted(data, key=lambda p: p.name, reverse=False)
# Prepare the vals array, containing one entry for each step
vals = []
for step in steps:
val = []
for p in data:
val.append(p.get_duration(step))
vals.append(val)
bottom = [0] * n_pkgs
legenditems = []
plt.figure()
# Draw the bars, step by step
for i in range(0, len(vals)):
b = plt.bar(ind+0.1, vals[i], width=0.8, color=colors[i], bottom=bottom, linewidth=0.25)
legenditems.append(b[0])
bottom = [ bottom[j] + vals[i][j] for j in range(0, len(vals[i])) ]
# Draw the package names
plt.xticks(ind + .6, [ p.name for p in data ], rotation=-60, rotation_mode="anchor", fontsize=8, ha='left')
# Adjust size of graph depending on the number of packages
# Ensure a minimal size twice as the default
# Magic Numbers do Magic Layout!
ratio = max(((n_pkgs + 10) / 48, 2))
borders = 0.1 / ratio
sz = plt.gcf().get_figwidth()
plt.gcf().set_figwidth(sz * ratio)
# Adjust space at borders, add more space for the
# package names at the bottom
plt.gcf().subplots_adjust(bottom=0.2, left=borders, right=1-borders)
# Remove ticks in the graph for each package
axes = plt.gcf().gca()
for line in axes.get_xticklines():
line.set_markersize(0)
axes.set_ylabel('Time (seconds)')
# Reduce size of legend text
leg_prop = fm.FontProperties(size=6)
# Draw legend
plt.legend(legenditems, steps, prop=leg_prop)
if order == "name":
plt.title('Build time of packages
')
elif order == "build":
plt.title('Build time of packages, by build order
')
elif order == "duration":
plt.title('Build time of packages, by duration order
')
# Save graph
plt.savefig(output)
# Generate a pie chart with the time spent building each package.
def pkg_pie_time_per_package(data, output):
# Compute total build duration
total = 0
for p in data:
total += p.get_duration()
# Build the list of labels and values, and filter the packages
# that account for less than 1% of the build time.
labels = []
values = []
other_value = 0
for p in data:
if p.get_duration() < (total * 0.01):
other_value += p.get_duration()
else:
labels.append(p.name)
values.append(p.get_duration())
labels.append('Other')
values.append(other_value)
plt.figure()
# Draw pie graph
patches, texts, autotexts = plt.pie(values, labels=labels,
autopct='%1.1f%%', shadow=True,
colors=colors)
# Reduce text size
proptease = fm.FontProperties()
proptease.set_size('xx-small')
plt.setp(autotexts, fontproperties=proptease)
plt.setp(texts, fontproperties=proptease)
plt.title('Build time per package')
plt.savefig(output)
# Generate a pie chart with a portion for the overall time spent in
# each step for all packages.
def pkg_pie_time_per_step(data, output):
steps_values = []
for step in steps:
val = 0
for p in data:
val += p.get_duration(step)
steps_values.append(val)
plt.figure()
# Draw pie graph
patches, texts, autotexts = plt.pie(steps_values, labels=steps,
autopct='%1.1f%%', shadow=True,
colors=colors)
# Reduce text size
proptease = fm.FontProperties()
proptease.set_size('xx-small')
plt.setp(autotexts, fontproperties=proptease)
plt.setp(texts, fontproperties=proptease)
plt.title('Build time per step')
plt.savefig(output)
# Parses the csv file passed on standard input and returns a list of
# Package objects, filed with the duration of each step and the total
# duration of the package.
def read_data(input_file):
if input_file is None:
input_file = sys.stdin
else:
input_file = open(input_file)
reader = csv.reader(input_file, delimiter=':')
pkgs = []
# Auxilliary function to find a package by name in the list.
def getpkg(name):
for p in pkgs:
if p.name == name:
return p
return None
for row in reader:
time = int(row[0].strip())
state = row[1].strip()
step = row[2].strip()
pkg = row[3].strip()
p = getpkg(pkg)
if p is None:
p = Package(pkg)
pkgs.append(p)
p.add_step(step, state, time)
return pkgs
parser = argparse.ArgumentParser(description='Draw build time graphs')
parser.add_argument("--type", '-t', metavar="GRAPH_TYPE",
help="Type of graph (histogram, pie-packages, pie-steps)")
parser.add_argument("--order", '-O', metavar="GRAPH_ORDER",
help="Ordering of packages: build or duration (for histogram only)")
parser.add_argument("--alternate-colors", '-c', action="store_true",
help="Use alternate colour-scheme")
parser.add_argument("--input", '-i', metavar="INPUT",
help="Input file (usually $(O)/build/build-time.log)")
parser.add_argument("--output", '-o', metavar="OUTPUT", required=True,
help="Output file (.pdf or .png extension)")
args = parser.parse_args()
d = read_data(args.input)
if args.alternate_colors:
colors = alternate_colors
else:
colors = default_colors
if args.type == "histogram" or args.type is None:
if args.order == "build" or args.order == "duration" or args.order == "name":
pkg_histogram(d, args.output, args.order)
elif args.order is None:
pkg_histogram(d, args.output, "name")
else:
sys.stderr.write("Unknown ordering: %s
" % args.order)
exit(1)
elif args.type == "pie-packages":
pkg_pie_time_per_package(d, args.output)
elif args.type == "pie-steps":
pkg_pie_time_per_step(d, args.output)
else:
sys.stderr.write("Unknown type: %s
" % args.type)
exit(1)
|