From 02098f8e7b7f13181b41606d8cc3f0d9bd611e65 Mon Sep 17 00:00:00 2001 From: Nathan Binkert Date: Sat, 17 Sep 2005 16:51:26 -0400 Subject: Totally re-work the way that jobfiles are done so there is more information that can be used for other aspects of sending jobs. New graphing output stuff with matplotlib. util/pbs/job.py: Shuffle code around and create the JobDir class which encapsulates all of the functionality needed for making, organizing, and cleaning a job directory. Better status output util/pbs/jobfile.py: Majory re-working of the jobfile code. A job file now consists of several objects that describe how jobs should be run, it includes information about checkpoints, and graphing. util/pbs/send.py: use the new jobfile code. deal with the 15 character limit of pbs by truncating the name and using the raj hack. util/stats/db.py: fix the __str__ function for nodes provide __getitem__ for the Database class util/stats/stats.py: use the jobfile stuff to figure out what the proper naming and organziation of the graphs should be. move all output code to output.py, get rid of ploticus and use matplotlib --HG-- rename : util/categories.py => util/stats/categories.py extra : convert_revision : 0d793cbf6ad9492290e8ec875ce001c84095e1f7 --- util/stats/output.py | 182 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 182 insertions(+) create mode 100644 util/stats/output.py (limited to 'util/stats/output.py') diff --git a/util/stats/output.py b/util/stats/output.py new file mode 100644 index 000000000..44dba5d15 --- /dev/null +++ b/util/stats/output.py @@ -0,0 +1,182 @@ +# Copyright (c) 2005 The Regents of The University of Michigan +# All rights reserved. +# +# Redistribution and use in source and binary forms, with or without +# modification, are permitted provided that the following conditions are +# met: redistributions of source code must retain the above copyright +# notice, this list of conditions and the following disclaimer; +# redistributions in binary form must reproduce the above copyright +# notice, this list of conditions and the following disclaimer in the +# documentation and/or other materials provided with the distribution; +# neither the name of the copyright holders nor the names of its +# contributors may be used to endorse or promote products derived from +# this software without specific prior written permission. +# +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +# +# Authors: Nathan Binkert + +class dbinfo(object): + def get(self, job, stat): + import info + + run = info.source.allRunNames.get(job.name, None) + if run is None: + print 'run "%s" not found' % job + return None + + stat.system = info.source[job.system] + info.display_run = run.run; + val = float(stat) + if val == 1e300*1e300: + return None + return val + +class StatOutput(object): + def __init__(self, name, jobfile, stat=None, info=dbinfo(), binstats=None): + self.name = name + self.jobfile = jobfile + self.stat = stat + self.binstats = None + self.label = self.name + self.invert = False + self.info = info + + def printdata(self, bin = None, printmode = 'G'): + import info + + if bin: + print '%s %s stats' % (self.name, bin) + + if self.binstats: + for stat in self.binstats: + stat.bins = bin + + if printmode == 'G': + valformat = '%g' + elif printmode != 'F' and value > 1e6: + valformat = '%0.5e' + else: + valformat = '%f' + + for job in self.jobfile.jobs(): + value = self.info.get(job, self.stat) + if value is None: + return + + if not isinstance(value, list): + value = [ value ] + + if self.invert: + for i,val in enumerate(value): + if val != 0.0: + value[i] = 1 / val + + valstring = ', '.join([ valformat % val for val in value ]) + print '%-50s %s' % (job.name + ':', valstring) + + def display(self, binned = False, printmode = 'G'): + if binned and self.binstats: + self.printdata('kernel', printmode) + self.printdata('idle', printmode) + self.printdata('user', printmode) + self.printdata('interrupt', printmode) + + print '%s total stats' % self.name + self.printdata(printmode=printmode) + + def graph(self, graphdir): + from os.path import expanduser, join as joinpath + from barchart import BarChart + from matplotlib.numerix import Float, zeros + import re + + confgroups = self.jobfile.groups() + ngroups = len(confgroups) + skiplist = [ False ] * ngroups + groupopts = None + baropts = None + groups = [] + for i,group in enumerate(confgroups): + if group.flags.graph_group: + if groupopts is not None: + raise AttributeError, \ + 'Two groups selected for graph group' + groupopts = group.subopts() + skiplist[i] = True + elif group.flags.graph_bars: + if baropts is not None: + raise AttributeError, \ + 'Two groups selected for graph bars' + baropts = group.subopts() + skiplist[i] = True + else: + groups.append(group) + + if groupopts is None: + raise AttributeError, 'No group selected for graph group' + + if baropts is None: + raise AttributeError, 'No group selected for graph bars' + + directory = expanduser(graphdir) + html = file(joinpath(directory, '%s.html' % self.name), 'w') + print >>html, '' + print >>html, 'Graphs for %s' % self.name + print >>html, '' + + for options in self.jobfile.options(groups): + data = zeros((len(groupopts), len(baropts)), Float) + data = [ [ None ] * len(baropts) for i in xrange(len(groupopts)) ] + enabled = False + stacked = None + for g,gopt in enumerate(groupopts): + for b,bopt in enumerate(baropts): + job = self.jobfile.job(options + [ gopt, bopt ]) + + val = self.info.get(job, self.stat) + if val is None: + val = 0.0 + curstacked = isinstance(val, (list, tuple)) + if stacked is None: + stacked = curstacked + else: + if stacked != curstacked: + raise ValueError, "some stats stacked, some not" + + data[g][b] = val + + bar_descs = [ opt.desc for opt in baropts ] + group_descs = [ opt.desc for opt in groupopts ] + if stacked: + legend = self.info.rcategories + else: + legend = bar_descs + + chart = BarChart(data=data, xlabel='Benchmark', ylabel=self.label, + legend=legend, xticks=group_descs) + chart.graph() + + names = [ opt.name for opt in options ] + descs = [ opt.desc for opt in options ] + + filename = '%s-%s.png' % (self.name, ':'.join(names)) + desc = ' '.join(descs) + filepath = joinpath(directory, filename) + chart.savefig(filepath) + filename = re.sub(':', '%3A', filename) + print >>html, '''%s

''' % (desc, filename) + + print >>html, '' + print >>html, '' + html.close() -- cgit v1.2.3