28
29from orderdict import orderdict
30import output
31
32class FileData(dict):
33 def __init__(self, filename):
34 self.filename = filename
35 fd = file(filename)
36 current = []
37 for line in fd:
38 line = line.strip()
39 if line.startswith('>>>'):
40 current = []
41 self[line[3:]] = current
42 else:
43 current.append(line)
44 fd.close()
45
46class RunData(dict):
47 def __init__(self, filename):
48 self.filename = filename
49
50 def __getattribute__(self, attr):
51 if attr == 'total':
52 total = 0.0
53 for value in self.itervalues():
54 total += value
55 return total
56
57 if attr == 'filedata':
58 return FileData(self.filename)
59
60 if attr == 'maxsymlen':
61 return max([ len(sym) for sym in self.iterkeys() ])
62
63 return super(RunData, self).__getattribute__(attr)
64
65 def display(self, output=None, limit=None, maxsymlen=None):
66 if not output:
67 import sys
68 output = sys.stdout
69 elif isinstance(output, str):
70 output = file(output, 'w')
71
72 total = float(self.total)
73
74 # swap (string,count) order so we can sort on count
75 symbols = [ (count,name) for name,count in self.iteritems() ]
76 symbols.sort(reverse=True)
77 if limit is not None:
78 symbols = symbols[:limit]
79
80 if not maxsymlen:
81 maxsymlen = self.maxsymlen
82
83 symbolf = "%-" + str(maxsymlen + 1) + "s %.2f%%"
84 for number,name in symbols:
85 print >>output, symbolf % (name, 100.0 * (float(number) / total))
86
87class PCData(RunData):
88 def __init__(self, filename=None, categorize=None, showidle=True):
89 super(PCData, self).__init__(self, filename)
90
91 filedata = self.filedata['PC data']
92 for line in filedata:
93 (symbol, count) = line.split()
94 if symbol == "0x0":
95 continue
96 count = int(count)
97
98 if categorize is not None:
99 category = categorize(symbol)
100 if category is None:
101 category = 'other'
102 elif category == 'idle' and not showidle:
103 continue
104
105 self[category] = count
106
107class FuncNode(object):
108 def __new__(cls, filedata=None):
109 if filedata is None:
110 return super(FuncNode, cls).__new__(cls)
111
112 nodes = {}
113 for line in filedata['function data']:
114 data = line.split(' ')
115 node_id = long(data[0], 16)
116 node = FuncNode()
117 node.symbol = data[1]
118 if node.symbol == '':
119 node.symbol = 'unknown'
120 node.count = long(data[2])
121 node.children = [ long(child, 16) for child in data[3:] ]
122 nodes[node_id] = node
123
124 for node in nodes.itervalues():
125 children = []
126 for cid in node.children:
127 child = nodes[cid]
128 children.append(child)
129 child.parent = node
130 node.children = tuple(children)
131 if not nodes:
132 print filedata.filename
133 print nodes
134 return nodes[0]
135
136 def total(self):
137 total = self.count
138 for child in self.children:
139 total += child.total()
140
141 return total
142
143 def aggregate(self, dict, categorize, incategory):
144 category = None
145 if categorize:
146 category = categorize(self.symbol)
147
148 total = self.count
149 for child in self.children:
150 total += child.aggregate(dict, categorize, category or incategory)
151
152 if category:
153 dict[category] = dict.get(category, 0) + total
154 return 0
155 elif not incategory:
156 dict[self.symbol] = dict.get(self.symbol, 0) + total
157
158 return total
159
160 def dump(self):
161 kids = [ child.symbol for child in self.children]
162 print '%s %d <%s>' % (self.symbol, self.count, ', '.join(kids))
163 for child in self.children:
164 child.dump()
165
166 def _dot(self, dot, threshold, categorize, total):
167 from pydot import Dot, Edge, Node
168 self.dot_node = None
169
170 value = self.total() * 100.0 / total
171 if value < threshold:
172 return
173 if categorize:
174 category = categorize(self.symbol)
175 if category and category != 'other':
176 return
177 label = '%s %.2f%%' % (self.symbol, value)
178 self.dot_node = Node(self, label=label)
179 dot.add_node(self.dot_node)
180
181 for child in self.children:
182 child._dot(dot, threshold, categorize, total)
183 if child.dot_node is not None:
184 dot.add_edge(Edge(self, child))
185
186 def _cleandot(self):
187 for child in self.children:
188 child._cleandot()
189 self.dot_node = None
190 del self.__dict__['dot_node']
191
192 def dot(self, dot, threshold=0.1, categorize=None):
193 self._dot(dot, threshold, categorize, self.total())
194 self._cleandot()
195
196class FuncData(RunData):
197 def __init__(self, filename, categorize=None):
198 super(FuncData, self).__init__(filename)
199 tree = self.tree
200 tree.aggregate(self, categorize, incategory=False)
201 self.total = tree.total()
202
203 def __getattribute__(self, attr):
204 if attr == 'tree':
205 return FuncNode(self.filedata)
206 return super(FuncData, self).__getattribute__(attr)
207
208 def displayx(self, output=None, maxcount=None):
209 if output is None:
210 import sys
211 output = sys.stdout
212
213 items = [ (val,key) for key,val in self.iteritems() ]
214 items.sort(reverse=True)
215 for val,key in items:
216 if maxcount is not None:
217 if maxcount == 0:
218 return
219 maxcount -= 1
220
221 percent = val * 100.0 / self.total
222 print >>output, '%-30s %8s' % (key, '%3.2f%%' % percent)
223
224class Profile(object):
225 # This list controls the order of values in stacked bar data output
226 default_categories = [ 'interrupt',
227 'driver',
228 'stack',
229 'buffer',
230 'copy',
231 'syscall',
232 'user',
233 'other',
234 'idle']
235
236 def __init__(self, datatype, categorize=None):
237 categories = Profile.default_categories
238
239 self.datatype = datatype
240 self.categorize = categorize
241 self.data = {}
242 self.categories = categories[:]
243 self.rcategories = categories[:]
244 self.rcategories.reverse()
245 self.cpu = 0
246
247 # Read in files
248 def inputdir(self, directory):
249 import os, os.path, re
250 from os.path import expanduser, join as joinpath
251
252 directory = expanduser(directory)
253 label_ex = re.compile(r'profile\.(.*).dat')
254 for root,dirs,files in os.walk(directory):
255 for name in files:
256 match = label_ex.match(name)
257 if not match:
258 continue
259
260 filename = joinpath(root, name)
261 prefix = os.path.commonprefix([root, directory])
262 dirname = root[len(prefix)+1:]
263 data = self.datatype(filename, self.categorize)
264 self.setdata(dirname, match.group(1), data)
265
266 def setdata(self, run, cpu, data):
267 if run not in self.data:
268 self.data[run] = {}
269
270 if cpu in self.data[run]:
271 raise AttributeError, \
272 'data already stored for run %s and cpu %s' % (run, cpu)
273
274 self.data[run][cpu] = data
275
276 def getdata(self, run, cpu):
277 try:
278 return self.data[run][cpu]
279 except KeyError:
280 print run, cpu
281 return None
282
283 def alldata(self):
284 for run,cpus in self.data.iteritems():
285 for cpu,data in cpus.iteritems():
286 yield run,cpu,data
287
288 def get(self, job, stat, system=None):
289 if system is None and hasattr('system', job):
290 system = job.system
291
292 if system is None:
293 raise AttributeError, 'The job must have a system set'
294
295 cpu = '%s.run%d' % (system, self.cpu)
296
297 data = self.getdata(str(job), cpu)
298 if not data:
299 return None
300
301 values = []
302 for category in self.categories:
303 val = float(data.get(category, 0.0))
304 if val < 0.0:
305 raise ValueError, 'value is %f' % val
306 values.append(val)
307 total = sum(values)
308 return [ v / total * 100.0 for v in values ]
309
310 def dump(self):
311 for run,cpu,data in self.alldata():
312 print 'run %s, cpu %s' % (run, cpu)
313 data.dump()
314 print
315
316 def write_dot(self, threshold, jobfile=None, jobs=None):
317 import pydot
318
319 if jobs is None:
320 jobs = [ job for job in jobfile.jobs() ]
321
322 for job in jobs:
323 cpu = '%s.run%d' % (job.system, self.cpu)
324 symbols = self.getdata(job.name, cpu)
325 if not symbols:
326 continue
327
328 dot = pydot.Dot()
329 symbols.tree.dot(dot, threshold=threshold)
330 dot.write(symbols.filename[:-3] + 'dot')
331
332 def write_txt(self, jobfile=None, jobs=None, limit=None):
333 if jobs is None:
334 jobs = [ job for job in jobfile.jobs() ]
335
336 for job in jobs:
337 cpu = '%s.run%d' % (job.system, self.cpu)
338 symbols = self.getdata(job.name, cpu)
339 if not symbols:
340 continue
341
342 output = file(symbols.filename[:-3] + 'txt', 'w')
343 symbols.display(output, limit)
344
345 def display(self, jobfile=None, jobs=None, limit=None):
346 if jobs is None:
347 jobs = [ job for job in jobfile.jobs() ]
348
349 maxsymlen = 0
350
351 thejobs = []
352 for job in jobs:
353 cpu = '%s.run%d' % (job.system, self.cpu)
354 symbols = self.getdata(job.name, cpu)
355 if symbols:
356 thejobs.append(job)
357 maxsymlen = max(maxsymlen, symbols.maxsymlen)
358
359 for job in thejobs:
360 cpu = '%s.run%d' % (job.system, self.cpu)
361 symbols = self.getdata(job.name, cpu)
362 print job.name
363 symbols.display(limit=limit, maxsymlen=maxsymlen)
364 print
365
366
367from categories import func_categorize, pc_categorize
368class PCProfile(Profile):
369 def __init__(self, categorize=pc_categorize):
370 super(PCProfile, self).__init__(PCData, categorize)
371
372
373class FuncProfile(Profile):
374 def __init__(self, categorize=func_categorize):
375 super(FuncProfile, self).__init__(FuncData, categorize)
376
377def usage(exitcode = None):
378 print '''\
379Usage: %s [-bc] [-g <dir>] [-j <jobfile>] [-n <num>]
380
381 -c groups symbols into categories
382 -b dumps data for bar charts
383 -d generate dot output
384 -g <d> draw graphs and send output to <d>
385 -j <jobfile> specify a different jobfile (default is Test.py)
386 -n <n> selects number of top symbols to print (default 5)
387''' % sys.argv[0]
388
389 if exitcode is not None:
390 sys.exit(exitcode)
391
392if __name__ == '__main__':
393 import getopt, re, sys
394 from os.path import expanduser
395 from output import StatOutput
396
397 # default option values
398 numsyms = 10
399 graph = None
400 cpus = [ 0 ]
401 categorize = False
402 showidle = True
403 funcdata = True
404 jobfilename = 'Test.py'
405 dodot = False
406 dotfile = None
407 textout = False
408 threshold = 0.01
409 inputfile = None
410
411 try:
412 opts, args = getopt.getopt(sys.argv[1:], 'C:cdD:f:g:ij:n:pT:t')
413 except getopt.GetoptError:
414 usage(2)
415
416 for o,a in opts:
417 if o == '-C':
418 cpus = [ int(x) for x in a.split(',') ]
419 elif o == '-c':
420 categorize = True
421 elif o == '-D':
422 dotfile = a
423 elif o == '-d':
424 dodot = True
425 elif o == '-f':
426 inputfile = expanduser(a)
427 elif o == '-g':
428 graph = a
429 elif o == '-i':
430 showidle = False
431 elif o == '-j':
432 jobfilename = a
433 elif o == '-n':
434 numsyms = int(a)
435 elif o == '-p':
436 funcdata = False
437 elif o == '-T':
438 threshold = float(a)
439 elif o == '-t':
440 textout = True
441
442 if args:
443 print "'%s'" % args, len(args)
444 usage(1)
445
446 if inputfile:
447 catfunc = None
448 if categorize:
449 catfunc = func_categorize
450 data = FuncData(inputfile, categorize=catfunc)
451
452 if dodot:
453 import pydot
454 dot = pydot.Dot()
455 data.tree.dot(dot, threshold=threshold)
456 #dot.orientation = 'landscape'
457 #dot.ranksep='equally'
458 #dot.rank='samerank'
459 dot.write(dotfile, format='png')
460 else:
461 data.display(limit=numsyms)
462
463 else:
464 from jobfile import JobFile
465 jobfile = JobFile(jobfilename)
466
467 if funcdata:
468 profile = FuncProfile()
469 else:
470 profile = PCProfile()
471
472 if not categorize:
473 profile.categorize = None
474 profile.inputdir(jobfile.rootdir)
475
476 if graph:
477 for cpu in cpus:
478 profile.cpu = cpu
479 if funcdata:
480 name = 'funcstacks%d' % cpu
481 else:
482 name = 'stacks%d' % cpu
483 output = StatOutput(jobfile, info=profile)
484 output.xlabel = 'System Configuration'
485 output.ylabel = '% CPU utilization'
486 output.stat = name
487 output.graph(name, graph)
488
489 if dodot:
490 for cpu in cpus:
491 profile.cpu = cpu
492 profile.write_dot(jobfile=jobfile, threshold=threshold)
493
494 if textout:
495 for cpu in cpus:
496 profile.cpu = cpu
497 profile.write_txt(jobfile=jobfile)
498
499 if not graph and not textout and not dodot:
500 for cpu in cpus:
501 if not categorize:
502 profile.categorize = None
503 profile.cpu = cpu
504 profile.display(jobfile=jobfile, limit=numsyms)
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