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
|
#!/usr/bin/env python
# Copyright 2018 The Servo Project Developers. See the COPYRIGHT
# file at the top-level directory of this distribution.
#
# Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
# http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
# <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
# option. This file may not be copied, modified, or distributed
# except according to those terms.
# Script to take raw sample output from Servo sampling profiler and
# output a [processed profile]. Based largely on [this script] and
# [this documentation].
#
# [processed profile]: https://github.com/firefox-devtools/profiler/blob/main/docs-developer/processed-profile-format.md
# [this script]: https://github.com/firefox-devtools/profiler/blob/main/src/profile-logic/import/linux-perf.js
# [this documentation]: https://github.com/firefox-devtools/profiler/blob/main/src/types/profile.js
from collections import defaultdict
import json
import sys
class StringTable:
def __init__(self):
self.table = {}
self.idx = 0
def get(self, s):
assert s
if s not in self.table:
self.table[s] = self.idx
self.idx += 1
return self.table[s]
def length(self):
return len(self.table.keys())
def contents(self):
return sorted(self.table.keys(), key=self.table.__getitem__)
with open(sys.argv[1]) as f:
profile = json.load(f)
rate = profile["rate"]
samples = profile["data"]
startTime = profile["start"]
frames = {}
stacks = {}
thread_data = defaultdict(list)
thread_order = {}
for sample in samples:
if sample['name']:
name = sample['name']
else:
name = "%s %d %d" % (sample['type'], sample['namespace'], sample['index'])
thread_data[name].append((sample['time'], sample['frames']))
if name not in thread_order:
thread_order[name] = (sample['namespace'], sample['index'])
tid = 0
threads = []
for (name, raw_samples) in sorted(thread_data.iteritems(), key=lambda x: thread_order[x[0]]):
string_table = StringTable()
tid += 1
stackMap = {}
stacks = []
frameMap = {}
frames = []
samples = []
for sample in raw_samples:
prefix = None
for frame in sample[1]:
if not frame['name']:
continue
if not frame['name'] in frameMap:
frameMap[frame['name']] = len(frames)
frame_index = string_table.get(frame['name'])
frames.append([frame_index])
frame = frameMap[frame['name']]
stack_key = "%d,%d" % (frame, prefix) if prefix else str(frame)
if stack_key not in stackMap:
stackMap[stack_key] = len(stacks)
stacks.append([frame, prefix])
stack = stackMap[stack_key]
prefix = stack
samples.append([stack, sample[0]])
threads.append({
'tid': tid,
'name': name,
'markers': {
'schema': {
'name': 0,
'time': 1,
'data': 2,
},
'data': [],
},
'samples': {
'schema': {
'stack': 0,
'time': 1,
'responsiveness': 2,
'rss': 2,
'uss': 4,
'frameNumber': 5,
},
'data': samples,
},
'frameTable': {
'schema': {
'location': 0,
'implementation': 1,
'optimizations': 2,
'line': 3,
'category': 4,
},
'data': frames,
},
'stackTable': {
'schema': {
'frame': 0,
'prefix': 1,
},
'data': stacks,
},
'stringTable': string_table.contents(),
})
output = {
'meta': {
'interval': rate,
'processType': 0,
'product': 'Servo',
'stackwalk': 1,
'startTime': startTime,
'version': 4,
'presymbolicated': True,
},
'libs': [],
'threads': threads,
}
print(json.dumps(output))
|
