/usr/bin/tsplot is in tsung 1.4.2-1.1.
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# -*- Mode: python -*-
# -*- coding: utf-8 -*-
#
# Copyright: 2006 by Dalibo <dalibo.com>
# Copyright: 2007 Dimitri Fontaine <dim@tapoueh.org>
# Created: 2006 by Dimitri Fontaine <dim@tapoueh.org>
#
# Modified: 2008 by Nicolas Niclausse
#
# 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.
#
# In addition, as a special exception, you have the permission to
# link the code of this program with any library released under
# the EPL license and distribute linked combinations including
# the two.
# A plotter for tsung text generated data
import os, sys
LIBDIR = "/usr/lib/tsung"
SHAREDIR = "/usr/share/tsung"
USERDIR = ".tsung"
CONF = "http.plots.en.conf"
SYS_STATS_CONF = os.path.join(SHAREDIR, 'tsung_plotter', 'stats.conf')
sys.path.append(LIBDIR)
from tsung_plotter.tsung import TsungLog
from ConfigParser import ConfigParser
from pylab import *
class Plot:
""" The ploting class, using matplotlib """
def __init__(self,
name = "",
xlabel = "",
ylabel = "",
title = "",
legends = None,
position = 0,
styles = ['b-', 'r-', 'g-', 'c-', 'y^', 'kv'],
colors = ['b', 'r', 'g', 'c', 'y', 'k'],
dpi = 150,
tn_dpi = 50,
xfactor = 1,
yfactor = 1,
yscale = 'linear',
plottype = 'lineplot', # can be lineplot or bar
outdir = '/tmp/tsung-plotter',
imgtype = 'png'):
# Only used if no plot type given
self.name = name
self.xlabel = xlabel
self.ylabel = ylabel
self.title = title
self.legends = legends
self.position = position
self.dpi = dpi
self.thumb_dpi = tn_dpi
self.xfactor = xfactor
self.yfactor = yfactor
self.yscale = yscale
self.plottype = plottype
self.styles = styles
self.colors = colors
self.outdir = outdir
self.imgtype = imgtype
def plot(self, stats, dataset):
""" draw a simple timeline or bar plots from two dataset """
if self.plottype == "lineplot":
# prepare matplotlib graph
clf()
ax = subplot(111)
ax.set_yscale(self.yscale)
count = 0
for data in dataset:
# get give type data for plotting
nstats = 0
for (name, stat) in stats:
pdata = data.stat(name, stat)
# we want timestamp sorted data to plot
ts = pdata.keys()
ts.sort()
values = [pdata[t] / self.yfactor[nstats%len(self.yfactor)] for t in ts]
if self.xfactor not in [1, "1"]:
ts = [x / self.xfactor for x in ts]
# Now use matplotlib to do the plotting
plot(ts, values, self.styles[count%len(self.styles)])
count += 1
nstats += 1
# Now setup the legend
title(self.title)
xlabel(self.xlabel)
ylabel(self.ylabel)
legend(self.legends, loc=self.position)
# we want to draw a grid
grid(True)
filename = os.path.join(self.outdir,
"%s.%s" % (self.name, self.imgtype))
thumbnail = os.path.join(self.outdir,
"%s_tn.%s" % (self.name, self.imgtype))
savefig(filename, dpi=self.dpi, orientation='portrait')
savefig(thumbnail, dpi=self.thumb_dpi, orientation='portrait')
return filename
else:
# box chart for gmean
clf()
width = 1.0/len(dataset)
nbox=len(dataset)
ind=arange(1)
count = 0
current = {}
percent = []
ticksp = []
ax = subplot(111)
ax.set_yscale(self.yscale)
for data in dataset:
nstats=0
for (name, stat) in stats:
pdata = data.stat(name, stat)
size= len(pdata)
if size > 0 :
# the data we use is the latest value:
current[count] = pdata.values()[size-1] / self.yfactor[nstats]
ax.bar(ind+count*width, ( current[count] ), width,
color=self.colors[count] )
# get percent of increase/decrease:
if count > 0:
percent.append(str(round(-100 + current[count] / current[0] * 100)) + "% ")
else:
percent.append("reference")
currenttick=(0.5 + count)/nbox
ticksp.append(currenttick)
count += 1
nstats += 1
boxchart = os.path.join(self.outdir,
"%s.%s" % (self.name, self.imgtype))
boxchart_thumb = os.path.join(self.outdir,
"%s_tn.%s" % (self.name, self.imgtype))
title(self.title)
legend(self.legends, loc=self.position)
ax.set_xticks(ticksp)
ax.set_xticklabels(percent)
ylabel(self.ylabel)
savefig(boxchart, dpi=self.dpi, orientation='portrait')
savefig(boxchart_thumb, dpi=self.thumb_dpi, orientation='portrait')
return boxchart
def main(conffile, logs, legends, outdir, verbose):
""" Produce plots from given """
dataset = [d for f, d in logs]
config = ConfigParser()
config.read(conffile)
for s in config.sections():
p = Plot(name = s, outdir = outdir)
# defaults
for d, v in config.defaults().items():
if d != 'encoding':
p.__dict__[d] = v
else:
encoding = v
# stats
# conf: 200.count, 400.count
# result: [["200", "count"], ["400", "count"]]
try:
stats = [x.strip().rsplit('.', 1)
for x in config.get(s, 'stats').split(' ')]
except:
print 'error: unable to read plot "%s" stats' % s
continue
if config.has_option(s, 'styles'):
p.styles = [x.strip() for x in config.get(s, 'styles').split(' ')]
if config.has_option(s, 'legend'):
# this is the legend prefix$
l = []
count = 0
clegends = config.get(s, 'legend').decode(encoding).split(',')
for f in logs:
l += ['%s %s' % (x.strip(), legends[count]) \
for x in clegends]
count += 1
p.legends = l
if config.has_option(s, 'position'):
# legend position according to matplotlib standard values (1-10)
val = config.get(s, 'position').decode(encoding)
if val.isdigit():
p.position = int(val)
else:
p.position = val
if config.has_option(s, 'yfactor'):
try:
p.__dict__['yfactor'] = map(float,config.get(s, 'yfactor').decode(encoding).split(','))
except ValueError:
print 'warning: %s yfactor not a number: %s' \
% (p.name, config.get(s, yfactor))
# Text parameters - to decode into specified encoding
for attr in ['title', 'xlabel', 'ylabel', 'plottype', 'yscale']:
if config.has_option(s, attr):
cstring = config.get(s, attr).decode(encoding)
p.__dict__[attr] = cstring
# Numerical parameters
for attr in ['xfactor', 'dpi', 'tn_dpi']:
if config.has_option(s, attr):
try:
p.__dict__[attr] = config.getfloat(s, attr)
except ValueError:
print 'warning: %s %s not a number: %s' \
% (p.name, attr, config.get(s, attr))
outfile = p.plot(stats, dataset)
if verbose:
print 'Generated plot %s' % outfile
if __name__ == "__main__":
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-c", "--config", dest="config", default=None,
help="configuration file")
parser.add_option("-d", "--outdir", dest="outdir", default="/tmp/tsung",
help="output dir where to save plots (/tmp/tsung)")
parser.add_option("-v", action="store_true", dest="verbose", default=False,
help="be verbose")
(options, args) = parser.parse_args()
if options.config is None:
userconf = os.path.join(os.environ['HOME'], USERDIR, CONF)
if os.access(userconf, os.R_OK):
config = userconf
else:
config = os.path.join(SHAREDIR, 'tsung_plotter', CONF)
else:
config = options.config
if options.verbose:
print 'Using %s configuration file' % config
if not os.access(config, os.R_OK):
print "can't read configuration file: %s" % config
sys.exit(1)
# FIXME: error control
# OSError: [Errno 17] Le fichier existe.: '/tmp/tsung'
try:
os.makedirs(options.outdir)
except:
pass
# args are legend then file, any times wanted by user
if len(args) % 2 != 0:
print "error: please provide legend and tsung log filename"
sys.exit(3)
count = 0
legends = []
files = []
for a in args:
if count % 2 == 0:
legends.append(a)
else:
files.append(a)
count += 1
if options.verbose:
print 'Using %s stats configuration file' % SYS_STATS_CONF
logs = []
for logfile in files:
if not os.access(logfile, os.R_OK):
print "error: unable to read file %s" % logfile
else:
if options.verbose:
print 'Parsing Tsung log file', logfile
logs.append((logfile, TsungLog(SYS_STATS_CONF, logfile)))
if len(logs) != len(args) / 2:
print 'error while parsing files (%d != %d)' % (len(logs),
len(args)/2)
sys.exit(2)
main(config, logs, legends, options.outdir, options.verbose)
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