def test_get_performance_data(self):
pc = PerfherderClient()
url = '{}?{}'.format(
pc._get_endpoint_url(pc.PERFORMANCE_DATA_ENDPOINT,
project='mozilla-central'),
'signatures=signature1&signatures=signature2')
content = {
'signature1': [{
'value': 1
}, {
'value': 2
}],
'signature2': [{
'value': 2
}, {
'value': 1
}]
}
responses.add(responses.GET,
url,
json=content,
match_querystring=True,
status=200)
series_list = pc.get_performance_data(
'mozilla-central', signatures=['signature1', 'signature2'])
self.assertEqual(len(series_list), 2)
self.assertEqual(series_list['signature1']['value'], [1, 2])
self.assertEqual(series_list['signature2']['value'], [2, 1])
def test_get_performance_data(self, mock_get):
mock_get.return_value = self._get_mock_response({
'signature1': [{'value': 1}, {'value': 2}],
'signature2': [{'value': 2}, {'value': 1}]
})
pc = PerfherderClient()
series_list = pc.get_performance_data('mozilla-central',
signatures=['signature1',
'signature2'])
self.assertEqual(len(series_list), 2)
self.assertEqual(series_list['signature1']['value'], [1, 2])
self.assertEqual(series_list['signature2']['value'], [2, 1])
def test_get_performance_data(self):
pc = PerfherderClient()
url = '{}?{}'.format(pc._get_project_uri('mozilla-central', pc.PERFORMANCE_DATA_ENDPOINT),
'signatures=signature1&signatures=signature2')
content = {
'signature1': [{'value': 1}, {'value': 2}],
'signature2': [{'value': 2}, {'value': 1}]
}
responses.add(responses.GET, url, json=content, match_querystring=True, status=200)
series_list = pc.get_performance_data('mozilla-central',
signatures=['signature1',
'signature2'])
self.assertEqual(len(series_list), 2)
self.assertEqual(series_list['signature1']['value'], [1, 2])
self.assertEqual(series_list['signature2']['value'], [2, 1])
def test_get_performance_data(self, mock_get):
mock_get.return_value = self._get_mock_response({
'signature1': [{
'value': 1
}, {
'value': 2
}],
'signature2': [{
'value': 2
}, {
'value': 1
}]
})
pc = PerfherderClient()
series_list = pc.get_performance_data(
'mozilla-central', signatures=['signature1', 'signature2'])
self.assertEqual(len(series_list), 2)
self.assertEqual(series_list['signature1']['value'], [1, 2])
self.assertEqual(series_list['signature2']['value'], [2, 1])
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 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]]))
