-
Notifications
You must be signed in to change notification settings - Fork 386
/
gprof2dot.py
executable file
·3881 lines (3199 loc) · 127 KB
/
gprof2dot.py
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
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
#!/usr/bin/env python3
#
# Copyright 2008-2023 Jose Fonseca
#
# This program is free software: you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as published
# by the Free Software Foundation, either version 3 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 Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
"""Generate a dot graph from the output of several profilers."""
__author__ = "Jose Fonseca et al"
import sys
import math
import os.path
import re
import textwrap
import optparse
import xml.parsers.expat
import collections
import locale
import json
import fnmatch
import codecs
import io
import hashlib
assert sys.version_info[0] >= 3
########################################################################
# Model
MULTIPLICATION_SIGN = chr(0xd7)
timeFormat = "%.7g"
def times(x):
return "%u%s" % (x, MULTIPLICATION_SIGN)
def percentage(p):
return "%.02f%%" % (p*100.0,)
def fmttime(t):
return timeFormat % t
def add(a, b):
return a + b
def fail(a, b):
assert False
# To enhance readability, labels are rounded to the number of decimal
# places corresponding to the tolerance value.
def round_difference(difference, tolerance):
n = -math.floor(math.log10(tolerance))
return round(difference, n)
def rescale_difference(x, min_val, max_val):
return (x - min_val) / (max_val - min_val)
def min_max_difference(profile1, profile2):
f1_events = [f1[TOTAL_TIME_RATIO] for _, f1 in sorted_iteritems(profile1.functions)]
f2_events = [f2[TOTAL_TIME_RATIO] for _, f2 in sorted_iteritems(profile2.functions)]
differences = []
for i in range(len(f1_events)):
try:
differences.append(abs(f1_events[i] - f2_events[i]) * 100)
except IndexError:
differences.append(0)
return min(differences), max(differences)
tol = 2 ** -23
def ratio(numerator, denominator):
try:
ratio = float(numerator)/float(denominator)
except ZeroDivisionError:
# 0/0 is undefined, but 1.0 yields more useful results
return 1.0
if ratio < 0.0:
if ratio < -tol:
sys.stderr.write('warning: negative ratio (%s/%s)\n' % (numerator, denominator))
return 0.0
if ratio > 1.0:
if ratio > 1.0 + tol:
sys.stderr.write('warning: ratio greater than one (%s/%s)\n' % (numerator, denominator))
return 1.0
return ratio
class UndefinedEvent(Exception):
"""Raised when attempting to get an event which is undefined."""
def __init__(self, event):
Exception.__init__(self)
self.event = event
def __str__(self):
return 'unspecified event %s' % self.event.name
class Event:
"""Describe a kind of event, and its basic operations."""
def __init__(self, name, null, aggregator, formatter = str):
self.name = name
self._null = null
self._aggregator = aggregator
self._formatter = formatter
def __repr__(self):
return self.name
def null(self):
return self._null
def aggregate(self, val1, val2):
"""Aggregate two event values."""
assert val1 is not None
assert val2 is not None
return self._aggregator(val1, val2)
def format(self, val):
"""Format an event value."""
assert val is not None
return self._formatter(val)
CALLS = Event("Calls", 0, add, times)
SAMPLES = Event("Samples", 0, add, times)
SAMPLES2 = Event("Samples", 0, add, times)
# Count of samples where a given function was either executing or on the stack.
# This is used to calculate the total time ratio according to the
# straightforward method described in Mike Dunlavey's answer to
# stackoverflow.com/questions/1777556/alternatives-to-gprof, item 4 (the myth
# "that recursion is a tricky confusing issue"), last edited 2012-08-30: it's
# just the ratio of TOTAL_SAMPLES over the number of samples in the profile.
#
# Used only when totalMethod == callstacks
TOTAL_SAMPLES = Event("Samples", 0, add, times)
TIME = Event("Time", 0.0, add, lambda x: '(' + fmttime(x) + ')')
TIME_RATIO = Event("Time ratio", 0.0, add, lambda x: '(' + percentage(x) + ')')
TOTAL_TIME = Event("Total time", 0.0, fail, fmttime)
TOTAL_TIME_RATIO = Event("Total time ratio", 0.0, fail, percentage)
labels = {
'self-time': TIME,
'self-time-percentage': TIME_RATIO,
'total-time': TOTAL_TIME,
'total-time-percentage': TOTAL_TIME_RATIO,
}
defaultLabelNames = ['total-time-percentage', 'self-time-percentage']
totalMethod = 'callratios'
class Object:
"""Base class for all objects in profile which can store events."""
def __init__(self, events=None):
if events is None:
self.events = {}
else:
self.events = events
def __lt__(self, other):
return id(self) < id(other)
def __contains__(self, event):
return event in self.events
def __getitem__(self, event):
try:
return self.events[event]
except KeyError:
raise UndefinedEvent(event)
def __setitem__(self, event, value):
if value is None:
if event in self.events:
del self.events[event]
else:
self.events[event] = value
class Call(Object):
"""A call between functions.
There should be at most one call object for every pair of functions.
"""
def __init__(self, callee_id):
Object.__init__(self)
self.callee_id = callee_id
self.ratio = None
self.weight = None
class Function(Object):
"""A function."""
def __init__(self, id, name):
Object.__init__(self)
self.id = id
self.name = name
self.module = None
self.process = None
self.calls = {}
self.called = None
self.weight = None
self.cycle = None
self.filename = None
def add_call(self, call):
if call.callee_id in self.calls:
sys.stderr.write('warning: overwriting call from function %s to %s\n' % (str(self.id), str(call.callee_id)))
self.calls[call.callee_id] = call
def get_call(self, callee_id):
if not callee_id in self.calls:
call = Call(callee_id)
call[SAMPLES] = 0
call[SAMPLES2] = 0
call[CALLS] = 0
self.calls[callee_id] = call
return self.calls[callee_id]
_parenthesis_re = re.compile(r'\([^()]*\)')
_angles_re = re.compile(r'<[^<>]*>')
_const_re = re.compile(r'\s+const$')
def stripped_name(self):
"""Remove extraneous information from C++ demangled function names."""
name = self.name
# Strip function parameters from name by recursively removing paired parenthesis
while True:
name, n = self._parenthesis_re.subn('', name)
if not n:
break
# Strip const qualifier
name = self._const_re.sub('', name)
# Strip template parameters from name by recursively removing paired angles
while True:
name, n = self._angles_re.subn('', name)
if not n:
break
return name
# TODO: write utility functions
def __repr__(self):
return self.name
def dump(self, sep1=",\n\t", sep2=":=", sep3="\n"):
""" Returns as a string all information available in this Function object
separators sep1:between entries
sep2:between attribute name and value,
sep3: inserted at end
"""
return sep1.join(sep2.join([k,str(v)]) for (k,v) in sorted(self.__dict__.items())) + sep3
class Cycle(Object):
"""A cycle made from recursive function calls."""
def __init__(self):
Object.__init__(self)
self.functions = set()
def add_function(self, function):
assert function not in self.functions
self.functions.add(function)
if function.cycle is not None:
for other in function.cycle.functions:
if function not in self.functions:
self.add_function(other)
function.cycle = self
class Profile(Object):
"""The whole profile."""
def __init__(self):
Object.__init__(self)
self.functions = {}
self.cycles = []
def add_function(self, function):
if function.id in self.functions:
sys.stderr.write('warning: overwriting function %s (id %s)\n' % (function.name, str(function.id)))
self.functions[function.id] = function
def add_cycle(self, cycle):
self.cycles.append(cycle)
def validate(self):
"""Validate the edges."""
for function in self.functions.values():
for callee_id in list(function.calls.keys()):
assert function.calls[callee_id].callee_id == callee_id
if callee_id not in self.functions:
sys.stderr.write('warning: call to undefined function %s from function %s\n' % (str(callee_id), function.name))
del function.calls[callee_id]
def find_cycles(self):
"""Find cycles using Tarjan's strongly connected components algorithm."""
# Apply the Tarjan's algorithm successively until all functions are visited
stack = []
data = {}
order = 0
for function in self.functions.values():
order = self._tarjan(function, order, stack, data)
cycles = []
for function in self.functions.values():
if function.cycle is not None and function.cycle not in cycles:
cycles.append(function.cycle)
self.cycles = cycles
if 0:
for cycle in cycles:
sys.stderr.write("Cycle:\n")
for member in cycle.functions:
sys.stderr.write("\tFunction %s\n" % member.name)
def prune_root(self, roots, depth=-1):
visited = set()
frontier = set([(root_node, depth) for root_node in roots])
while len(frontier) > 0:
node, node_depth = frontier.pop()
visited.add(node)
if node_depth == 0:
continue
f = self.functions[node]
newNodes = set(f.calls.keys()) - visited
frontier = frontier.union({(new_node, node_depth - 1) for new_node in newNodes})
subtreeFunctions = {}
for n in visited:
f = self.functions[n]
newCalls = {}
for c in f.calls.keys():
if c in visited:
newCalls[c] = f.calls[c]
f.calls = newCalls
subtreeFunctions[n] = f
self.functions = subtreeFunctions
def prune_leaf(self, leafs, depth=-1):
edgesUp = collections.defaultdict(set)
for f in self.functions.keys():
for n in self.functions[f].calls.keys():
edgesUp[n].add(f)
# build the tree up
visited = set()
frontier = set([(leaf_node, depth) for leaf_node in leafs])
while len(frontier) > 0:
node, node_depth = frontier.pop()
visited.add(node)
if node_depth == 0:
continue
newNodes = edgesUp[node] - visited
frontier = frontier.union({(new_node, node_depth - 1) for new_node in newNodes})
downTree = set(self.functions.keys())
upTree = visited
path = downTree.intersection(upTree)
pathFunctions = {}
for n in path:
f = self.functions[n]
newCalls = {}
for c in f.calls.keys():
if c in path:
newCalls[c] = f.calls[c]
f.calls = newCalls
pathFunctions[n] = f
self.functions = pathFunctions
def getFunctionIds(self, funcName):
function_names = {v.name: k for (k, v) in self.functions.items()}
return [function_names[name] for name in fnmatch.filter(function_names.keys(), funcName)]
def getFunctionId(self, funcName):
for f in self.functions:
if self.functions[f].name == funcName:
return f
return False
def printFunctionIds(self, selector=None, file=sys.stderr):
""" Print to file function entries selected by fnmatch.fnmatch like in
method getFunctionIds, with following extensions:
- selector starts with "%": dump all information available
- selector is '+' or '-': select all function entries
"""
if selector is None or selector in ("+", "*"):
v = ",\n".join(("%s:\t%s" % (kf,self.functions[kf].name)
for kf in self.functions.keys()))
else:
if selector[0]=="%":
selector=selector[1:]
function_info={k:v for (k,v)
in self.functions.items()
if fnmatch.fnmatch(v.name,selector)}
v = ",\n".join( ("%s\t({k})\t(%s)::\n\t%s" % (v.name,type(v),v.dump())
for (k,v) in function_info.items()
))
else:
function_names = (v.name for v in self.functions.values())
v = ",\n".join( ( nm for nm in fnmatch.filter(function_names,selector )))
file.write(v+"\n")
file.flush()
class _TarjanData:
def __init__(self, order):
self.order = order
self.lowlink = order
self.onstack = False
def _tarjan(self, function, order, stack, data):
"""Tarjan's strongly connected components algorithm.
See also:
- http://en.wikipedia.org/wiki/Tarjan's_strongly_connected_components_algorithm
"""
try:
func_data = data[function.id]
return order
except KeyError:
func_data = self._TarjanData(order)
data[function.id] = func_data
order += 1
pos = len(stack)
stack.append(function)
func_data.onstack = True
for call in function.calls.values():
try:
callee_data = data[call.callee_id]
if callee_data.onstack:
func_data.lowlink = min(func_data.lowlink, callee_data.order)
except KeyError:
callee = self.functions[call.callee_id]
order = self._tarjan(callee, order, stack, data)
callee_data = data[call.callee_id]
func_data.lowlink = min(func_data.lowlink, callee_data.lowlink)
if func_data.lowlink == func_data.order:
# Strongly connected component found
members = stack[pos:]
del stack[pos:]
if len(members) > 1:
cycle = Cycle()
for member in members:
cycle.add_function(member)
data[member.id].onstack = False
else:
for member in members:
data[member.id].onstack = False
return order
def call_ratios(self, event):
# Aggregate for incoming calls
cycle_totals = {}
for cycle in self.cycles:
cycle_totals[cycle] = 0.0
function_totals = {}
for function in self.functions.values():
function_totals[function] = 0.0
# Pass 1: function_total gets the sum of call[event] for all
# incoming arrows. Same for cycle_total for all arrows
# that are coming into the *cycle* but are not part of it.
for function in self.functions.values():
for call in function.calls.values():
if call.callee_id != function.id:
callee = self.functions[call.callee_id]
if event in call.events:
function_totals[callee] += call[event]
if callee.cycle is not None and callee.cycle is not function.cycle:
cycle_totals[callee.cycle] += call[event]
else:
sys.stderr.write("call_ratios: No data for " + function.name + " call to " + callee.name + "\n")
# Pass 2: Compute the ratios. Each call[event] is scaled by the
# function_total of the callee. Calls into cycles use the
# cycle_total, but not calls within cycles.
for function in self.functions.values():
for call in function.calls.values():
assert call.ratio is None
if call.callee_id != function.id:
callee = self.functions[call.callee_id]
if event in call.events:
if callee.cycle is not None and callee.cycle is not function.cycle:
total = cycle_totals[callee.cycle]
else:
total = function_totals[callee]
call.ratio = ratio(call[event], total)
else:
# Warnings here would only repeat those issued above.
call.ratio = 0.0
def integrate(self, outevent, inevent):
"""Propagate function time ratio along the function calls.
Must be called after finding the cycles.
See also:
- http://citeseer.ist.psu.edu/graham82gprof.html
"""
# Sanity checking
assert outevent not in self
for function in self.functions.values():
assert outevent not in function
assert inevent in function
for call in function.calls.values():
assert outevent not in call
if call.callee_id != function.id:
assert call.ratio is not None
# Aggregate the input for each cycle
for cycle in self.cycles:
total = inevent.null()
for function in self.functions.values():
total = inevent.aggregate(total, function[inevent])
self[inevent] = total
# Integrate along the edges
total = inevent.null()
for function in self.functions.values():
total = inevent.aggregate(total, function[inevent])
self._integrate_function(function, outevent, inevent)
self[outevent] = total
def _integrate_function(self, function, outevent, inevent):
if function.cycle is not None:
return self._integrate_cycle(function.cycle, outevent, inevent)
else:
if outevent not in function:
total = function[inevent]
for call in function.calls.values():
if call.callee_id != function.id:
total += self._integrate_call(call, outevent, inevent)
function[outevent] = total
return function[outevent]
def _integrate_call(self, call, outevent, inevent):
assert outevent not in call
assert call.ratio is not None
callee = self.functions[call.callee_id]
subtotal = call.ratio *self._integrate_function(callee, outevent, inevent)
call[outevent] = subtotal
return subtotal
def _integrate_cycle(self, cycle, outevent, inevent):
if outevent not in cycle:
# Compute the outevent for the whole cycle
total = inevent.null()
for member in cycle.functions:
subtotal = member[inevent]
for call in member.calls.values():
callee = self.functions[call.callee_id]
if callee.cycle is not cycle:
subtotal += self._integrate_call(call, outevent, inevent)
total += subtotal
cycle[outevent] = total
# Compute the time propagated to callers of this cycle
callees = {}
for function in self.functions.values():
if function.cycle is not cycle:
for call in function.calls.values():
callee = self.functions[call.callee_id]
if callee.cycle is cycle:
try:
callees[callee] += call.ratio
except KeyError:
callees[callee] = call.ratio
for member in cycle.functions:
member[outevent] = outevent.null()
for callee, call_ratio in callees.items():
ranks = {}
call_ratios = {}
partials = {}
self._rank_cycle_function(cycle, callee, ranks)
self._call_ratios_cycle(cycle, callee, ranks, call_ratios, set())
partial = self._integrate_cycle_function(cycle, callee, call_ratio, partials, ranks, call_ratios, outevent, inevent)
# Ensure `partial == max(partials.values())`, but with round-off tolerance
max_partial = max(partials.values())
assert abs(partial - max_partial) <= 1e-7*max_partial
assert abs(call_ratio*total - partial) <= 0.001*call_ratio*total
return cycle[outevent]
def _rank_cycle_function(self, cycle, function, ranks):
"""Dijkstra's shortest paths algorithm.
See also:
- http://en.wikipedia.org/wiki/Dijkstra's_algorithm
"""
import heapq
Q = []
Qd = {}
p = {}
visited = set([function])
ranks[function] = 0
for call in function.calls.values():
if call.callee_id != function.id:
callee = self.functions[call.callee_id]
if callee.cycle is cycle:
ranks[callee] = 1
item = [ranks[callee], function, callee]
heapq.heappush(Q, item)
Qd[callee] = item
while Q:
cost, parent, member = heapq.heappop(Q)
if member not in visited:
p[member]= parent
visited.add(member)
for call in member.calls.values():
if call.callee_id != member.id:
callee = self.functions[call.callee_id]
if callee.cycle is cycle:
member_rank = ranks[member]
rank = ranks.get(callee)
if rank is not None:
if rank > 1 + member_rank:
rank = 1 + member_rank
ranks[callee] = rank
Qd_callee = Qd[callee]
Qd_callee[0] = rank
Qd_callee[1] = member
heapq._siftdown(Q, 0, Q.index(Qd_callee))
else:
rank = 1 + member_rank
ranks[callee] = rank
item = [rank, member, callee]
heapq.heappush(Q, item)
Qd[callee] = item
def _call_ratios_cycle(self, cycle, function, ranks, call_ratios, visited):
if function not in visited:
visited.add(function)
for call in function.calls.values():
if call.callee_id != function.id:
callee = self.functions[call.callee_id]
if callee.cycle is cycle:
if ranks[callee] > ranks[function]:
call_ratios[callee] = call_ratios.get(callee, 0.0) + call.ratio
self._call_ratios_cycle(cycle, callee, ranks, call_ratios, visited)
def _integrate_cycle_function(self, cycle, function, partial_ratio, partials, ranks, call_ratios, outevent, inevent):
if function not in partials:
partial = partial_ratio*function[inevent]
for call in function.calls.values():
if call.callee_id != function.id:
callee = self.functions[call.callee_id]
if callee.cycle is not cycle:
assert outevent in call
partial += partial_ratio*call[outevent]
else:
if ranks[callee] > ranks[function]:
callee_partial = self._integrate_cycle_function(cycle, callee, partial_ratio, partials, ranks, call_ratios, outevent, inevent)
call_ratio = ratio(call.ratio, call_ratios[callee])
call_partial = call_ratio*callee_partial
try:
call[outevent] += call_partial
except UndefinedEvent:
call[outevent] = call_partial
partial += call_partial
partials[function] = partial
try:
function[outevent] += partial
except UndefinedEvent:
function[outevent] = partial
return partials[function]
def aggregate(self, event):
"""Aggregate an event for the whole profile."""
total = event.null()
for function in self.functions.values():
try:
total = event.aggregate(total, function[event])
except UndefinedEvent:
return
self[event] = total
def ratio(self, outevent, inevent):
assert outevent not in self
assert inevent in self
for function in self.functions.values():
assert outevent not in function
assert inevent in function
function[outevent] = ratio(function[inevent], self[inevent])
for call in function.calls.values():
assert outevent not in call
if inevent in call:
call[outevent] = ratio(call[inevent], self[inevent])
self[outevent] = 1.0
def prune(self, node_thres, edge_thres, paths, color_nodes_by_selftime):
"""Prune the profile"""
# compute the prune ratios
for function in self.functions.values():
try:
function.weight = function[TOTAL_TIME_RATIO]
except UndefinedEvent:
pass
for call in function.calls.values():
callee = self.functions[call.callee_id]
if TOTAL_TIME_RATIO in call:
# handle exact cases first
call.weight = call[TOTAL_TIME_RATIO]
else:
try:
# make a safe estimate
call.weight = min(function[TOTAL_TIME_RATIO], callee[TOTAL_TIME_RATIO])
except UndefinedEvent:
pass
# prune the nodes
for function_id in list(self.functions.keys()):
function = self.functions[function_id]
if function.weight is not None:
if function.weight < node_thres:
del self.functions[function_id]
# prune file paths
for function_id in list(self.functions.keys()):
function = self.functions[function_id]
if paths and function.filename and not any(function.filename.startswith(path) for path in paths):
del self.functions[function_id]
elif paths and function.module and not any((function.module.find(path)>-1) for path in paths):
del self.functions[function_id]
# prune the edges
for function in self.functions.values():
for callee_id in list(function.calls.keys()):
call = function.calls[callee_id]
if callee_id not in self.functions or call.weight is not None and call.weight < edge_thres:
del function.calls[callee_id]
if color_nodes_by_selftime:
weights = []
for function in self.functions.values():
try:
weights.append(function[TIME_RATIO])
except UndefinedEvent:
pass
max_ratio = max(weights or [1])
# apply rescaled weights for coloriung
for function in self.functions.values():
try:
function.weight = function[TIME_RATIO] / max_ratio
except (ZeroDivisionError, UndefinedEvent):
pass
def dump(self):
for function in self.functions.values():
sys.stderr.write('Function %s:\n' % (function.name,))
self._dump_events(function.events)
for call in function.calls.values():
callee = self.functions[call.callee_id]
sys.stderr.write(' Call %s:\n' % (callee.name,))
self._dump_events(call.events)
for cycle in self.cycles:
sys.stderr.write('Cycle:\n')
self._dump_events(cycle.events)
for function in cycle.functions:
sys.stderr.write(' Function %s\n' % (function.name,))
def _dump_events(self, events):
for event, value in events.items():
sys.stderr.write(' %s: %s\n' % (event.name, event.format(value)))
########################################################################
# Parsers
class Struct:
"""Masquerade a dictionary with a structure-like behavior."""
def __init__(self, attrs = None):
if attrs is None:
attrs = {}
self.__dict__['_attrs'] = attrs
def __getattr__(self, name):
try:
return self._attrs[name]
except KeyError:
raise AttributeError(name)
def __setattr__(self, name, value):
self._attrs[name] = value
def __str__(self):
return str(self._attrs)
def __repr__(self):
return repr(self._attrs)
class ParseError(Exception):
"""Raised when parsing to signal mismatches."""
def __init__(self, msg, line):
Exception.__init__(self)
self.msg = msg
# TODO: store more source line information
self.line = line
def __str__(self):
return '%s: %r' % (self.msg, self.line)
class Parser:
"""Parser interface."""
stdinInput = True
multipleInput = False
def __init__(self):
pass
def parse(self):
raise NotImplementedError
class JsonParser(Parser):
"""Parser for a custom JSON representation of profile data.
See schema.json for details.
"""
def __init__(self, stream):
Parser.__init__(self)
self.stream = stream
def parse(self):
obj = json.load(self.stream)
assert obj['version'] == 0
profile = Profile()
profile[SAMPLES] = 0
fns = obj['functions']
for functionIndex in range(len(fns)):
fn = fns[functionIndex]
function = Function(functionIndex, fn['name'])
try:
function.module = fn['module']
except KeyError:
pass
try:
function.process = fn['process']
except KeyError:
pass
function[SAMPLES] = 0
function.called = 0
profile.add_function(function)
for event in obj['events']:
callchain = []
for functionIndex in event['callchain']:
function = profile.functions[functionIndex]
callchain.append(function)
# increment the call count of the first in the callchain
function = profile.functions[event['callchain'][0]]
function.called = function.called + 1
cost = event['cost'][0]
callee = callchain[0]
callee[SAMPLES] += cost
profile[SAMPLES] += cost
for caller in callchain[1:]:
try:
call = caller.calls[callee.id]
except KeyError:
call = Call(callee.id)
call[SAMPLES2] = cost
caller.add_call(call)
else:
call[SAMPLES2] += cost
callee = caller
if False:
profile.dump()
# compute derived data
profile.validate()
profile.find_cycles()
profile.ratio(TIME_RATIO, SAMPLES)
profile.call_ratios(SAMPLES2)
profile.integrate(TOTAL_TIME_RATIO, TIME_RATIO)
return profile
class LineParser(Parser):
"""Base class for parsers that read line-based formats."""
def __init__(self, stream):
Parser.__init__(self)
self._stream = stream
self.__line = None
self.__eof = False
self.line_no = 0
def readline(self):
line = self._stream.readline()
if not line:
self.__line = ''
self.__eof = True
else:
self.line_no += 1
line = line.rstrip('\r\n')
self.__line = line
def lookahead(self):
assert self.__line is not None
return self.__line
def consume(self):
assert self.__line is not None
line = self.__line
self.readline()
return line
def eof(self):
assert self.__line is not None
return self.__eof
XML_ELEMENT_START, XML_ELEMENT_END, XML_CHARACTER_DATA, XML_EOF = range(4)
class XmlToken:
def __init__(self, type, name_or_data, attrs = None, line = None, column = None):
assert type in (XML_ELEMENT_START, XML_ELEMENT_END, XML_CHARACTER_DATA, XML_EOF)
self.type = type
self.name_or_data = name_or_data
self.attrs = attrs
self.line = line
self.column = column
def __str__(self):
if self.type == XML_ELEMENT_START:
return '<' + self.name_or_data + ' ...>'
if self.type == XML_ELEMENT_END:
return '</' + self.name_or_data + '>'
if self.type == XML_CHARACTER_DATA: