def handle(self, *args, **options):
if options['server']:
server_params = urlparse(options['server'])
server_protocol = server_params.scheme
server_host = server_params.netloc
else:
server_protocol = settings.TREEHERDER_REQUEST_PROTOCOL
server_host = settings.TREEHERDER_REQUEST_HOST
if not options['project']:
raise CommandError("Must specify at least one project with "
"--project")
pc = PerfherderClient(protocol=server_protocol, host=server_host)
option_collection_hash = pc.get_option_collection_hash()
# print csv header
print ','.join([
"project", "platform", "signature", "series", "testrun_id",
"push_timestamp", "change", "percent change", "t-value", "revision"
])
for project in options['project']:
if options['signature']:
signatures = [options['signature']]
signature_data = {}
else:
signature_data = pc.get_performance_signatures(
project, time_interval=options['time_interval'])
signatures = []
signatures_to_ignore = set()
# if doing everything, only handle summary series
for (signature, properties) in signature_data.iteritems():
signatures.append(signature)
if 'subtest_signatures' in properties:
# Don't alert on subtests which have a summary
signatures_to_ignore.update(
properties['subtest_signatures'])
signatures = [
signature for signature in signatures
if signature not in signatures_to_ignore
]
for signature in signatures:
series = pc.get_performance_series(
project, signature, time_interval=options['time_interval'])
series_properties = signature_data.get(signature)
if not series_properties:
series_properties = pc.get_performance_signature_properties(
project, signature)
if series_properties.get('subtest_signatures') is not None:
meanvar = 'geomean'
else:
meanvar = 'mean'
perf_data = []
for (result_set_id, timestamp,
mean) in zip(series['result_set_id'],
series['push_timestamp'], series[meanvar]):
perf_data.append(
PerfDatum(timestamp, mean, testrun_id=result_set_id))
ta = TalosAnalyzer()
ta.addData(perf_data)
for r in ta.analyze_t():
if r.state == 'regression':
resultsets = pc.get_resultsets(project,
id=r.testrun_id)
if len(resultsets):
revision = resultsets[0]['revision']
else:
revision = ''
initial_value = r.historical_stats['avg']
new_value = r.forward_stats['avg']
if initial_value != 0:
pct_change = 100.0 * abs(new_value - initial_value
) / float(initial_value)
else:
pct_change = 0.0
delta = (new_value - initial_value)
print ','.join(
map(lambda v: str(v), [
project, series_properties['machine_platform'],
signature,
self._get_series_description(
option_collection_hash, series_properties),
r.testrun_id, r.push_timestamp, delta,
pct_change, r.t, revision[0:12]
]))
def handle(self, *args, **options):
if options['server']:
server_params = urlparse(options['server'])
server_protocol = server_params.scheme
server_host = server_params.netloc
else:
server_protocol = settings.TREEHERDER_REQUEST_PROTOCOL
server_host = settings.TREEHERDER_REQUEST_HOST
if not options['project']:
raise CommandError("Must specify at least one project with "
"--project")
pc = PerfherderClient(protocol=server_protocol,
host=server_host)
option_collection_hash = pc.get_option_collection_hash()
# print csv header
print ','.join(["project", "platform", "signature", "series",
"testrun_id", "push_timestamp", "change",
"percent change", "t-value", "revision"])
for project in options['project']:
if options['signature']:
signatures = [options['signature']]
signature_data = pc.get_performance_signatures(
project, signatures=signatures,
interval=options['time_interval'])
else:
signature_data = pc.get_performance_signatures(
project, interval=options['time_interval'])
signatures = []
signatures_to_ignore = set()
# if doing everything, only handle summary series
for (signature, properties) in signature_data.iteritems():
signatures.append(signature)
if 'subtest_signatures' in properties:
# Don't alert on subtests which have a summary
signatures_to_ignore.update(properties['subtest_signatures'])
signatures = [signature for signature in signatures
if signature not in signatures_to_ignore]
for signature in signatures:
series = pc.get_performance_data(
project, signatures=signature,
interval=options['time_interval'])[signature]
series_properties = signature_data.get(signature)
data = []
for (result_set_id, timestamp, value) in zip(
series['result_set_id'], series['push_timestamp'],
series['value']):
data.append(Datum(timestamp, value, testrun_id=result_set_id))
for r in detect_changes(data):
if r.state == 'regression':
resultsets = pc.get_resultsets(project,
id=r.testrun_id)
if len(resultsets):
revision = resultsets[0]['revision']
else:
revision = ''
initial_value = r.historical_stats['avg']
new_value = r.forward_stats['avg']
if initial_value != 0:
pct_change = 100.0 * abs(new_value - initial_value) / float(initial_value)
else:
pct_change = 0.0
delta = (new_value - initial_value)
print ','.join(map(
lambda v: str(v),
[project, series_properties['machine_platform'],
signature, self._get_series_description(
option_collection_hash,
series_properties),
r.testrun_id, r.push_timestamp, delta,
pct_change, r.t, revision[0:12]]))
def handle(self, *args, **options):
if options['server']:
server_params = urlparse(options['server'])
server_protocol = server_params.scheme
server_host = server_params.netloc
else:
server_protocol = settings.TREEHERDER_REQUEST_PROTOCOL
server_host = settings.TREEHERDER_REQUEST_HOST
if not options['project']:
raise CommandError("Must specify at least one project with "
"--project")
pc = PerfherderClient(protocol=server_protocol,
host=server_host)
option_collection_hash = pc.get_option_collection_hash()
# print csv header
print ','.join(["project", "signature", "series", "testrun_id",
"push_timestamp", "change", "percent change",
"t-value", "revision"])
for project in options['project']:
if options['signature']:
signatures = [options['signature']]
signature_data = {}
else:
signature_data = pc.get_performance_signatures(
project, time_interval=options['time_interval'])
signatures = []
# if doing everything, only handle summary series
for (signature, properties) in signature_data.iteritems():
if 'subtest_signatures' in properties:
signatures.append(signature)
for signature in signatures:
series = pc.get_performance_series(
project, signature,
time_interval=options['time_interval'])
series_properties = signature_data.get(signature)
if not series_properties:
series_properties = pc.get_performance_signature_properties(
project, signature)
if series_properties.get('subtest_signatures') is not None:
meanvar = 'geomean'
else:
meanvar = 'mean'
perf_data = []
for (result_set_id, timestamp, mean) in zip(
series['result_set_id'], series['push_timestamp'],
series[meanvar]):
perf_data.append(PerfDatum(timestamp, mean, testrun_id=result_set_id))
ta = TalosAnalyzer()
ta.addData(perf_data)
for r in ta.analyze_t():
if r.state == 'regression':
resultsets = pc.get_resultsets(project,
id=r.testrun_id)
if len(resultsets):
revision = resultsets[0]['revision']
else:
revision = ''
initial_value = r.historical_stats['avg']
new_value = r.forward_stats['avg']
if initial_value != 0:
pct_change = 100.0 * abs(new_value - initial_value) / float(initial_value)
else:
pct_change = 0.0
delta = (new_value - initial_value)
print ','.join(map(lambda v: str(v),
[project, signature,
self._get_series_description(
option_collection_hash,
series_properties),
r.testrun_id,
r.push_timestamp, delta,
pct_change, r.t,
revision[0:12]]))
def handle(self, *args, **options):
if not options['project']:
raise CommandError("Must specify at least one project with "
"--project")
pc = PerfherderClient(server_url=options['server'])
option_collection_hash = pc.get_option_collection_hash()
# print csv header
print ','.join(["project", "platform", "signature", "series",
"testrun_id", "push_timestamp", "change",
"percent change", "t-value", "revision"])
for project in options['project']:
if options['signature']:
signatures = [options['signature']]
signature_data = pc.get_performance_signatures(
project, signatures=signatures,
interval=options['time_interval'])
else:
signature_data = pc.get_performance_signatures(
project, interval=options['time_interval'])
signatures = []
signatures_to_ignore = set()
# if doing everything, only handle summary series
for (signature, properties) in signature_data.iteritems():
signatures.append(signature)
if 'subtest_signatures' in properties:
# Don't alert on subtests which have a summary
signatures_to_ignore.update(properties['subtest_signatures'])
signatures = [signature for signature in signatures
if signature not in signatures_to_ignore]
for signature in signatures:
series = pc.get_performance_data(
project, signatures=signature,
interval=options['time_interval'])[signature]
series_properties = signature_data.get(signature)
data = []
for (result_set_id, timestamp, value) in zip(
series['result_set_id'], series['push_timestamp'],
series['value']):
data.append(Datum(timestamp, value, testrun_id=result_set_id))
for r in detect_changes(data):
if r.state == 'regression':
resultsets = pc.get_resultsets(project,
id=r.testrun_id)
if len(resultsets):
revision = resultsets[0]['revision']
else:
revision = ''
initial_value = r.historical_stats['avg']
new_value = r.forward_stats['avg']
if initial_value != 0:
pct_change = 100.0 * abs(new_value - initial_value) / float(initial_value)
else:
pct_change = 0.0
delta = (new_value - initial_value)
print ','.join(map(
lambda v: str(v),
[project, series_properties['machine_platform'],
signature, self._get_series_description(
option_collection_hash,
series_properties),
r.testrun_id, r.push_timestamp, delta,
pct_change, r.t, revision[0:12]]))
