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
|
#!/usr/bin/python
# Copyright (c) 2010 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import math
import optparse
import re
import simplejson
import subprocess
import sys
import time
import urllib2
__version__ = '1.0'
DEFAULT_EXPECTATIONS_FILE = 'perf_expectations.json'
DEFAULT_VARIANCE = 0.05
USAGE = ''
def ReadFile(filename):
try:
file = open(filename, 'r')
except IOError, e:
print >> sys.stderr, ('I/O Error reading file %s(%s): %s' %
(filename, e.errno, e.strerror))
raise e
if not file:
return None
contents = file.read()
file.close()
return contents
def ConvertJsonIntoDict(string):
"""Read a JSON string and convert its contents into a Python datatype."""
if len(string) == 0:
print >> sys.stderr, ('Error could not parse empty string')
raise Exception('JSON data missing')
try:
json = simplejson.loads(string)
except ValueError, e:
print >> sys.stderr, ('Error parsing string: "%s"' % string)
raise e
return json
# Floating point representation of last time we fetched a URL.
last_fetched_at = None
def FetchUrlContents(url):
global last_fetched_at
if last_fetched_at and ((time.time() - last_fetched_at) <= 0.5):
# Sleep for half a second to avoid overloading the server.
time.sleep(0.5)
try:
last_fetched_at = time.time()
connection = urllib2.urlopen(url)
except urllib2.HTTPError, e:
if e.code == 404:
return None
raise e
text = connection.read().strip()
connection.close()
return text
def WriteJson(filename, data, keys):
"""Write a list of |keys| in |data| to the file specified in |filename|."""
try:
file = open(filename, 'w')
except IOError, e:
print >> sys.stderr, ('I/O Error writing file %s(%s): %s' %
(filename, e.errno, e.strerror))
return False
jsondata = []
for key in keys:
rowdata = []
for subkey in ['reva', 'revb', 'improve', 'regress']:
if subkey in data[key]:
rowdata.append('"%s": %s' % (subkey, data[key][subkey]))
jsondata.append('"%s": {%s}' % (key, ', '.join(rowdata)))
jsondata.append('"load": true')
json = '{%s\n}' % ',\n '.join(jsondata)
file.write(json + '\n')
file.close()
return True
def Main(args):
parser = optparse.OptionParser(usage=USAGE, version=__version__)
options, args = parser.parse_args(args)
# Get the list of summaries for a test.
base_url = 'http://build.chromium.org/f/chromium/perf'
perf = ConvertJsonIntoDict(ReadFile(DEFAULT_EXPECTATIONS_FILE))
# Fetch graphs.dat for this combination.
perfkeys = perf.keys()
# In perf_expectations.json, ignore the 'load' key.
perfkeys.remove('load')
perfkeys.sort()
write_new_expectations = False
for key in perfkeys:
value = perf[key]
variance = DEFAULT_VARIANCE
# Skip expectations that are missing a reva or revb. We can't generate
# expectations for those.
if not(value.has_key('reva') and value.has_key('revb')):
print '%s (skipping, missing revision range)' % key
continue
revb = int(value['revb'])
reva = int(value['reva'])
# Ensure that reva is less than revb.
if reva > revb:
temp = reva
reva = revb
revb = temp
# Get the system/test/graph/tracename and reftracename for the current key.
matchData = re.match(r'^([^/]+)\/([^/]+)\/([^/]+)\/([^/]+)$', key)
if not matchData:
print '%s (skipping, cannot parse key)' % key
continue
system = matchData.group(1)
test = matchData.group(2)
graph = matchData.group(3)
tracename = matchData.group(4)
reftracename = tracename + '_ref'
# Create the summary_url and get the json data for that URL.
# FetchUrlContents() may sleep to avoid overloading the server with
# requests.
summary_url = '%s/%s/%s/%s-summary.dat' % (base_url, system, test, graph)
summaryjson = FetchUrlContents(summary_url)
if not summaryjson:
print '%s (skipping, missing json data)' % key
continue
summarylist = summaryjson.split('\n')
trace_values = {}
for trace in [tracename, reftracename]:
trace_values.setdefault(trace, {})
# Find the high and low values for each of the traces.
scanning = False
printed_error = False
for line in summarylist:
json = ConvertJsonIntoDict(line)
if int(json['rev']) <= revb:
scanning = True
if int(json['rev']) < reva:
break
# We found the upper revision in the range. Scan for trace data until we
# find the lower revision in the range.
if scanning:
for trace in [tracename, reftracename]:
if trace not in json['traces']:
if not printed_error:
print '%s (error)' % key
printed_error = True
print ' trace %s missing' % trace
continue
if type(json['traces'][trace]) != type([]):
if not printed_error:
print '%s (error)' % key
printed_error = True
print ' trace %s format not recognized' % trace
continue
try:
tracevalue = float(json['traces'][trace][0])
except ValueError:
if not printed_error:
print '%s (error)' % key
printed_error = True
print ' trace %s value error: %s' % (
trace, str(json['traces'][trace][0]))
continue
for bound in ['high', 'low']:
trace_values[trace].setdefault(bound, tracevalue)
trace_values[trace]['high'] = max(trace_values[trace]['high'],
tracevalue)
trace_values[trace]['low'] = min(trace_values[trace]['low'],
tracevalue)
if 'high' not in trace_values[tracename]:
print '%s (skipping, no suitable traces matched)' % key
continue
# Calculate assuming high deltas are regressions and low deltas are
# improvements.
regress = (float(trace_values[tracename]['high']) -
float(trace_values[reftracename]['low']))
improve = (float(trace_values[tracename]['low']) -
float(trace_values[reftracename]['high']))
# If the existing values assume regressions are low deltas relative to
# improvements, swap our regress and improve. This value must be a
# scores-like result.
if perf[key]['regress'] < perf[key]['improve']:
temp = regress
regress = improve
improve = temp
if regress < improve:
regress = int(math.floor(regress - abs(regress*variance)))
improve = int(math.ceil(improve + abs(improve*variance)))
else:
improve = int(math.floor(improve - abs(improve*variance)))
regress = int(math.ceil(regress + abs(regress*variance)))
if (perf[key]['regress'] == regress and perf[key]['improve'] == improve):
print '%s (no change)' % key
continue
write_new_expectations = True
print key
print ' before = %s' % perf[key]
print ' traces = %s' % trace_values
perf[key]['regress'] = regress
perf[key]['improve'] = improve
print ' after = %s' % perf[key]
if write_new_expectations:
print 'writing expectations... ',
WriteJson(DEFAULT_EXPECTATIONS_FILE, perf, perfkeys)
print 'done'
else:
print 'no updates made'
if __name__ == '__main__':
sys.exit(Main(sys.argv))
|
