summaryrefslogtreecommitdiff
path: root/util/stats/output.py
blob: abfb8d90183818bee5096cc9f93ffaa2a514822b (plain)
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
# Copyright (c) 2005-2006 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

from chart import ChartOptions

class StatOutput(ChartOptions):
    def __init__(self, jobfile, info, stat=None, binstats=None):
        super(StatOutput, self).__init__()
        self.jobfile = jobfile
        self.stat = stat
        self.binstats = None
        self.invert = False
        self.info = info

    def printdata(self, name, bin = None, printmode = 'G'):
        import info

        if bin:
            print '%s %s stats' % (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, name, binned = False, printmode = 'G'):
        if binned and self.binstats:
            self.printdata(name, 'kernel', printmode)
            self.printdata(name, 'idle', printmode)
            self.printdata(name, 'user', printmode)
            self.printdata(name, 'interrupt', printmode)

            print '%s total stats' % name
        self.printdata(name, printmode=printmode)

    def graph(self, name, graphdir, proxy=None):
        from os.path import expanduser, isdir, join as joinpath
        from barchart import BarChart
        from matplotlib.numerix import Float, array, zeros
        import os, re, urllib
        from jobfile import crossproduct

        confgroups = self.jobfile.groups()
        ngroups = len(confgroups)
        skiplist = [ False ] * ngroups
        groupopts = []
        baropts = []
        groups = []
        for i,group in enumerate(confgroups):
            if group.flags.graph_group:
                groupopts.append(group.subopts())
                skiplist[i] = True
            elif group.flags.graph_bars:
                baropts.append(group.subopts())
                skiplist[i] = True
            else:
                groups.append(group)

        has_group = bool(groupopts)
        if has_group:
            groupopts = [ group for group in crossproduct(groupopts) ]
        else:
            groupopts = [ None ]

        if baropts:
            baropts = [ bar for bar in crossproduct(baropts) ]
        else:
            raise AttributeError, 'No group selected for graph bars'

        directory = expanduser(graphdir)
        if not isdir(directory):
            os.mkdir(directory)
        html = file(joinpath(directory, '%s.html' % name), 'w')
        print >>html, '<html>'
        print >>html, '<title>Graphs for %s</title>' % name
        print >>html, '<body>'
        html.flush()

        for options in self.jobfile.options(groups):
            chart = BarChart(self)

            data = [ [ None ] * len(baropts) for i in xrange(len(groupopts)) ]
            enabled = False
            stacked = 0
            for g,gopt in enumerate(groupopts):
                for b,bopt in enumerate(baropts):
                    if gopt is None:
                        gopt = []
                    job = self.jobfile.job(options + gopt + bopt)
                    if not job:
                        continue

                    if proxy:
                        import db
                        proxy.dict['system'] = self.info[job.system]
                    val = self.info.get(job, self.stat)
                    if val is None:
                        print 'stat "%s" for job "%s" not found' % \
                              (self.stat, job)

                    if isinstance(val, (list, tuple)):
                        if len(val) == 1:
                            val = val[0]
                        else:
                            stacked = len(val)

                    data[g][b] = val

            if stacked == 0:
                for i in xrange(len(groupopts)):
                    for j in xrange(len(baropts)):
                        if data[i][j] is None:
                            data[i][j] = 0.0
            else:
                for i in xrange(len(groupopts)):
                    for j in xrange(len(baropts)):
                        val = data[i][j]
                        if val is None:
                            data[i][j] = [ 0.0 ] * stacked
                        elif len(val) != stacked:
                            raise ValueError, "some stats stacked, some not"

            data = array(data)
            if data.sum() == 0:
                continue

            dim = len(data.shape)
            x = data.shape[0]
            xkeep = [ i for i in xrange(x) if data[i].sum() != 0 ]
            y = data.shape[1]
            ykeep = [ i for i in xrange(y) if data[:,i].sum() != 0 ]
            data = data.take(xkeep, axis=0)
            data = data.take(ykeep, axis=1)
            if not has_group:
                data = data.take([ 0 ], axis=0)
            chart.data = data


            bopts = [ baropts[i] for i in ykeep ]
            bdescs = [ ' '.join([o.desc for o in opt]) for opt in bopts]

            if has_group:
                gopts = [ groupopts[i] for i in xkeep ]
                gdescs = [ ' '.join([o.desc for o in opt]) for opt in gopts]

            if chart.legend is None:
                if stacked:
                    try:
                        chart.legend = self.info.rcategories
                    except:
                        chart.legend = [ str(i) for i in xrange(stacked) ]
                else:
                    chart.legend = bdescs

            if chart.xticks is None:
                if has_group:
                    chart.xticks = gdescs
                else:
                    chart.xticks = []
            chart.graph()

            names = [ opt.name for opt in options ]
            descs = [ opt.desc for opt in options ]

            if names[0] == 'run':
                names = names[1:]
                descs = descs[1:]

            basename = '%s-%s' % (name, ':'.join(names))
            desc = ' '.join(descs)

            pngname = '%s.png' % basename
            psname = '%s.eps' % re.sub(':', '-', basename)
            epsname = '%s.ps' % re.sub(':', '-', basename)
            chart.savefig(joinpath(directory, pngname))
            chart.savefig(joinpath(directory, epsname))
            chart.savefig(joinpath(directory, psname))
            html_name = urllib.quote(pngname)
            print >>html, '''%s<br><img src="%s"><br>''' % (desc, html_name)
            html.flush()

        print >>html, '</body>'
        print >>html, '</html>'
        html.close()