def go():
for benchmark in benchmarks:
for param in raw[benchmark].keys():
for statistic in options['statistics'].split():
stat, samples = select(
raw, benchmark, param, statistic)
samples = stat.squash(samples)
yield upload(
reactor,
options['url'], options['project'],
options['revision'], options['revision-date'],
benchmark, param, statistic,
options['backend'], options['environment'],
samples)
# This is somewhat hard-coded to the currently
# collected stats.
if statistic == 'SQL':
stat, samples = select(
raw, benchmark, param, 'execute')
samples = stat.squash(samples, 'count')
yield upload(
reactor,
options['url'], options['project'],
options['revision'], options['revision-date'],
benchmark, param, statistic + 'count',
options['backend'], options['environment'],
samples)
def go():
for benchmark in benchmarks:
for param in raw[benchmark].keys():
for statistic in options['statistics'].split():
stat, samples = select(
raw, benchmark, param, statistic)
samples = stat.squash(samples)
yield upload(
reactor,
options['url'], options['project'],
options['revision'], options['revision-date'],
benchmark, param, statistic,
options['backend'], options['environment'],
samples)
# This is somewhat hard-coded to the currently
# collected stats.
if statistic == 'SQL':
stat, samples = select(
raw, benchmark, param, 'execute')
samples = stat.squash(samples, 'count')
yield upload(
reactor,
options['url'], options['project'],
options['revision'], options['revision-date'],
benchmark, param, statistic + 'count',
options['backend'], options['environment'],
samples)
def main():
if len(sys.argv) < 5:
print('Usage: %s <datafile> <benchmark name> <parameter value> <metric> [command]' % (sys.argv[0],))
else:
stat, samples = select(pickle.load(file(sys.argv[1])), *sys.argv[2:5])
if len(sys.argv) == 5:
print('Samples')
print('\t' + '\n\t'.join(map(str, stat.squash(samples))))
print('Commands')
print('\t' + '\n\t'.join(stat.commands))
else:
print(getattr(stat, sys.argv[5])(samples, *sys.argv[6:]))
def main():
if len(sys.argv) < 5:
print(
'Usage: %s <datafile> <benchmark name> <parameter value> <metric> [command]'
% (sys.argv[0], ))
else:
stat, samples = select(pickle.load(file(sys.argv[1])), *sys.argv[2:5])
if len(sys.argv) == 5:
print('Samples')
print('\t' + '\n\t'.join(map(str, stat.squash(samples))))
print('Commands')
print('\t' + '\n\t'.join(stat.commands))
else:
print(getattr(stat, sys.argv[5])(samples, *sys.argv[6:]))
std_dev=mad(samples), # Not really!
max_value=max(samples),
min_value=min(samples))
d.addErrback(err, "Upload failed")
return d
def main():
options = UploadOptions()
try:
options.parseOptions(sys.argv[1:])
except UsageError, e:
print(e)
return 1
fname, benchmark, param, statistic = options['statistic'].split(',')
stat, samples = select(
pickle.load(file(fname)), benchmark, param, statistic)
samples = stat.squash(samples)
d = upload(
reactor,
options['url'], options['project'], options['revision'],
options['revision-date'],
benchmark, param, statistic,
options['backend'], options['environment'],
samples)
reactor.callWhenRunning(d.addCallback, lambda ign: reactor.stop())
reactor.run()
result_date=datetime.now(),
std_dev=mad(samples), # Not really!
max_value=max(samples),
min_value=min(samples))
d.addErrback(err, "Upload failed")
return d
def main():
options = UploadOptions()
try:
options.parseOptions(sys.argv[1:])
except UsageError, e:
print(e)
return 1
fname, benchmark, param, statistic = options['statistic'].split(',')
stat, samples = select(
pickle.load(file(fname)), benchmark, param, statistic)
samples = stat.squash(samples)
d = upload(
reactor,
options['url'], options['project'], options['revision'],
options['revision-date'],
benchmark, param, statistic,
options['backend'], options['environment'],
samples)
reactor.callWhenRunning(d.addCallback, lambda ign: reactor.stop())
reactor.run()
