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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394
|
#! /usr/bin/env python
#
# btt_plot.py: Generate matplotlib plots for BTT generate data files
#
# (C) Copyright 2009 Hewlett-Packard Development Company, L.P.
#
# 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
#
"""
btt_plot.py: Generate matplotlib plots for BTT generated data files
Files handled:
AQD - Average Queue Depth Running average of queue depths
BNOS - Block numbers accessed Markers for each block
Q2D - Queue to Issue latencies Running averages
D2C - Issue to Complete latencies Running averages
Q2C - Queue to Complete latencies Running averages
Usage:
btt_plot_aqd.py equivalent to: btt_plot.py -t aqd <type>=aqd
btt_plot_bnos.py equivalent to: btt_plot.py -t bnos <type>=bnos
btt_plot_q2d.py equivalent to: btt_plot.py -t q2d <type>=q2d
btt_plot_d2c.py equivalent to: btt_plot.py -t d2c <type>=d2c
btt_plot_q2c.py equivalent to: btt_plot.py -t q2c <type>=q2c
Arguments:
[ -A | --generate-all ] Default: False
[ -L | --no-legend ] Default: Legend table produced
[ -o <file> | --output=<file> ] Default: <type>.png
[ -T <string> | --title=<string> ] Default: Based upon <type>
[ -v | --verbose ] Default: False
<data-files...>
The -A (--generate-all) argument is different: when this is specified,
an attempt is made to generate default plots for all 5 types (aqd, bnos,
q2d, d2c and q2c). It will find files with the appropriate suffix for
each type ('aqd.dat' for example). If such files are found, a plot for
that type will be made. The output file name will be the default for
each type. The -L (--no-legend) option will be obeyed for all plots,
but the -o (--output) and -T (--title) options will be ignored.
"""
__author__ = 'Alan D. Brunelle <alan.brunelle@hp.com>'
#------------------------------------------------------------------------------
import matplotlib
matplotlib.use('Agg')
import getopt, glob, os, sys
import matplotlib.pyplot as plt
plot_size = [10.9, 8.4] # inches...
add_legend = True
generate_all = False
output_file = None
title_str = None
type = None
verbose = False
types = [ 'aqd', 'q2d', 'd2c', 'q2c', 'bnos' ]
progs = [ 'btt_plot_%s.py' % t for t in types ]
get_base = lambda file: file[file.find('_')+1:file.rfind('_')]
#------------------------------------------------------------------------------
def fatal(msg):
"""Generate fatal error message and exit"""
print >>sys.stderr, 'FATAL: %s' % msg
sys.exit(1)
#----------------------------------------------------------------------
def get_data(files):
"""Retrieve data from files provided.
Returns a database containing:
'min_x', 'max_x' - Minimum and maximum X values found
'min_y', 'max_y' - Minimum and maximum Y values found
'x', 'y' - X & Y value arrays
'ax', 'ay' - Running average over X & Y --
if > 10 values provided...
"""
#--------------------------------------------------------------
def check(mn, mx, v):
"""Returns new min, max, and float value for those passed in"""
v = float(v)
if mn == None or v < mn: mn = v
if mx == None or v > mx: mx = v
return mn, mx, v
#--------------------------------------------------------------
def avg(xs, ys):
"""Computes running average for Xs and Ys"""
#------------------------------------------------------
def _avg(vals):
"""Computes average for array of values passed"""
total = 0.0
for val in vals:
total += val
return total / len(vals)
#------------------------------------------------------
if len(xs) < 1000:
return xs, ys
axs = [xs[0]]
ays = [ys[0]]
_xs = [xs[0]]
_ys = [ys[0]]
x_range = (xs[-1] - xs[0]) / 100
for idx in range(1, len(ys)):
if (xs[idx] - _xs[0]) > x_range:
axs.append(_avg(_xs))
ays.append(_avg(_ys))
del _xs, _ys
_xs = [xs[idx]]
_ys = [ys[idx]]
else:
_xs.append(xs[idx])
_ys.append(ys[idx])
if len(_xs) > 1:
axs.append(_avg(_xs))
ays.append(_avg(_ys))
return axs, ays
#--------------------------------------------------------------
global verbose
db = {}
min_x = max_x = min_y = max_y = None
for file in files:
if not os.path.exists(file):
fatal('%s not found' % file)
elif verbose:
print 'Processing %s' % file
xs = []
ys = []
for line in open(file, 'r'):
f = line.rstrip().split(None)
if line.find('#') == 0 or len(f) < 2:
continue
(min_x, max_x, x) = check(min_x, max_x, f[0])
(min_y, max_y, y) = check(min_y, max_y, f[1])
xs.append(x)
ys.append(y)
db[file] = {'x':xs, 'y':ys}
if len(xs) > 10:
db[file]['ax'], db[file]['ay'] = avg(xs, ys)
else:
db[file]['ax'] = db[file]['ay'] = None
db['min_x'] = min_x
db['max_x'] = max_x
db['min_y'] = min_y
db['max_y'] = max_y
return db
#----------------------------------------------------------------------
def parse_args(args):
"""Parse command line arguments.
Returns list of (data) files that need to be processed -- /unless/
the -A (--generate-all) option is passed, in which case superfluous
data files are ignored...
"""
global add_legend, output_file, title_str, type, verbose
global generate_all
prog = args[0][args[0].rfind('/')+1:]
if prog == 'btt_plot.py':
pass
elif not prog in progs:
fatal('%s not a valid command name' % prog)
else:
type = prog[prog.rfind('_')+1:prog.rfind('.py')]
s_opts = 'ALo:t:T:v'
l_opts = [ 'generate-all', 'type', 'no-legend', 'output', 'title',
'verbose' ]
try:
(opts, args) = getopt.getopt(args[1:], s_opts, l_opts)
except getopt.error, msg:
print >>sys.stderr, msg
fatal(__doc__)
for (o, a) in opts:
if o in ('-A', '--generate-all'):
generate_all = True
elif o in ('-L', '--no-legend'):
add_legend = False
elif o in ('-o', '--output'):
output_file = a
elif o in ('-t', '--type'):
if not a in types:
fatal('Type %s not supported' % a)
type = a
elif o in ('-T', '--title'):
title_str = a
elif o in ('-v', '--verbose'):
verbose = True
if type == None and not generate_all:
fatal('Need type of data files to process - (-t <type>)')
return args
#------------------------------------------------------------------------------
def gen_title(fig, type, title_str):
"""Sets the title for the figure based upon the type /or/ user title"""
if title_str != None:
pass
elif type == 'aqd':
title_str = 'Average Queue Depth'
elif type == 'bnos':
title_str = 'Block Numbers Accessed'
elif type == 'q2d':
title_str = 'Queue (Q) To Issue (D) Average Latencies'
elif type == 'd2c':
title_str = 'Issue (D) To Complete (C) Average Latencies'
elif type == 'q2c':
title_str = 'Queue (Q) To Complete (C) Average Latencies'
title = fig.text(.5, .95, title_str, horizontalalignment='center')
title.set_fontsize('large')
#------------------------------------------------------------------------------
def gen_labels(db, ax, type):
"""Generate X & Y 'axis'"""
#----------------------------------------------------------------------
def gen_ylabel(ax, type):
"""Set the Y axis label based upon the type"""
if type == 'aqd':
str = 'Number of Requests Queued'
elif type == 'bnos':
str = 'Block Number'
else:
str = 'Seconds'
ax.set_ylabel(str)
#----------------------------------------------------------------------
xdelta = 0.1 * (db['max_x'] - db['min_x'])
ydelta = 0.1 * (db['max_y'] - db['min_y'])
ax.set_xlim(db['min_x'] - xdelta, db['max_x'] + xdelta)
ax.set_ylim(db['min_y'] - ydelta, db['max_y'] + ydelta)
ax.set_xlabel('Runtime (seconds)')
ax.grid(True)
gen_ylabel(ax, type)
#------------------------------------------------------------------------------
def generate_output(type, db):
"""Generate the output plot based upon the type and database"""
#----------------------------------------------------------------------
def color(idx, style):
"""Returns a color/symbol type based upon the index passed."""
colors = [ 'b', 'g', 'r', 'c', 'm', 'y', 'k' ]
l_styles = [ '-', ':', '--', '-.' ]
m_styles = [ 'o', '+', '.', ',', 's', 'v', 'x', '<', '>' ]
color = colors[idx % len(colors)]
if style == 'line':
style = l_styles[(idx / len(l_styles)) % len(l_styles)]
elif style == 'marker':
style = m_styles[(idx / len(m_styles)) % len(m_styles)]
return '%s%s' % (color, style)
#----------------------------------------------------------------------
def gen_legends(a, legends):
leg = ax.legend(legends, 'best', shadow=True)
frame = leg.get_frame()
frame.set_facecolor('0.80')
for t in leg.get_texts():
t.set_fontsize('xx-small')
#----------------------------------------------------------------------
global add_legend, output_file, title_str, verbose
if output_file != None:
ofile = output_file
else:
ofile = '%s.png' % type
if verbose:
print 'Generating plot into %s' % ofile
fig = plt.figure(figsize=plot_size)
ax = fig.add_subplot(111)
gen_title(fig, type, title_str)
gen_labels(db, ax, type)
idx = 0
if add_legend:
legends = []
else:
legends = None
keys = []
for file in db.iterkeys():
if not file in ['min_x', 'max_x', 'min_y', 'max_y']:
keys.append(file)
keys.sort()
for file in keys:
dat = db[file]
if type == 'bnos':
ax.plot(dat['x'], dat['y'], color(idx, 'marker'),
markersize=1)
elif dat['ax'] == None:
continue # Don't add legend
else:
ax.plot(dat['ax'], dat['ay'], color(idx, 'line'),
linewidth=1.0)
if add_legend:
legends.append(get_base(file))
idx += 1
if add_legend and len(legends) > 0:
gen_legends(ax, legends)
plt.savefig(ofile)
#------------------------------------------------------------------------------
def get_files(type):
"""Returns the list of files for the -A option based upon type"""
if type == 'bnos':
files = []
for fn in glob.glob('*c.dat'):
for t in [ 'q2q', 'd2d', 'q2c', 'd2c' ]:
if fn.find(t) >= 0:
break
else:
files.append(fn)
else:
files = glob.glob('*%s.dat' % type)
return files
#------------------------------------------------------------------------------
if __name__ == '__main__':
files = parse_args(sys.argv)
if generate_all:
output_file = title_str = type = None
for t in types:
files = get_files(t)
if len(files) == 0:
continue
elif t != 'bnos':
generate_output(t, get_data(files))
continue
for file in files:
base = get_base(file)
title_str = 'Block Numbers Accessed: %s' % base
output_file = 'bnos_%s.png' % base
generate_output(t, get_data([file]))
elif len(files) < 1:
fatal('Need data files to process')
else:
generate_output(type, get_data(files))
sys.exit(0)
|