def test_metadata(self, mock_query_iter):
query = gcm.Query(METRIC_TYPE, hours=1, context=self.context)
query_metadata = query.metadata()
mock_query_iter.assert_called_once_with(headers_only=True)
self.assertIsInstance(query_metadata, gcm.QueryMetadata)
self.assertEqual(query_metadata.metric_type, METRIC_TYPE)
def test_constructor_maximal(self):
UPTIME_METRIC = 'compute.googleapis.com/instance/uptime'
T1 = datetime.datetime(2016, 4, 7, 2, 30, 30)
DAYS, HOURS, MINUTES = 1, 2, 3
T0 = T1 - datetime.timedelta(days=DAYS, hours=HOURS, minutes=MINUTES)
query = gcm.Query(UPTIME_METRIC,
end_time=T1,
days=DAYS,
hours=HOURS,
minutes=MINUTES,
context=self.context)
expected_client = gcm._utils.make_client(context=self.context)
self.assertEqual(query._client.project, expected_client.project)
self.assertEqual(query._client._connection.credentials,
expected_client._connection.credentials)
self.assertEqual(query._filter.metric_type, UPTIME_METRIC)
self.assertEqual(query._start_time, T0)
self.assertEqual(query._end_time, T1)
self.assertIsNone(query._per_series_aligner)
self.assertIsNone(query._alignment_period_seconds)
self.assertIsNone(query._cross_series_reducer)
self.assertEqual(query._group_by_fields, ())
def test_constructor_minimal(self, mock_context_default):
mock_context_default.return_value = self.context
query = gcm.Query()
self.assertEqual(query._filter.metric_type, BaseQuery.DEFAULT_METRIC_TYPE)
self.assertIsNone(query._start_time)
self.assertIsNone(query._end_time)
self.assertEqual(query._per_series_aligner, 0)
self.assertEqual(query._alignment_period_seconds, 0)
self.assertEqual(query._cross_series_reducer, 0)
self.assertEqual(query._group_by_fields, ())
def test_constructor_minimal(self, mock_context_default):
mock_context_default.return_value = self.context
query = gcm.Query()
expected_client = gcm._utils.make_client(context=self.context)
self.assertEqual(query._client.project, expected_client.project)
self.assertEqual(query._client._connection.credentials,
expected_client._connection.credentials)
self.assertEqual(query._filter.metric_type,
BaseQuery.DEFAULT_METRIC_TYPE)
self.assertIsNone(query._start_time)
self.assertIsNone(query._end_time)
self.assertIsNone(query._per_series_aligner)
self.assertIsNone(query._alignment_period_seconds)
self.assertIsNone(query._cross_series_reducer)
self.assertEqual(query._group_by_fields, ())
def setUp(self):
creds = mock.Mock(spec=google.auth.credentials.Credentials)
context = google.datalab.Context(PROJECT, creds)
self.query = gcm.Query(METRIC_TYPE, context=context)
#%%
import google.datalab
import google.datalab.stackdriver.monitoring as gcm
import collections
import StringIO
import pandas
import os
#os.environ["GOOGLE_CLOUD_DISABLE_GRPC"] = "true"
query_cpu = gcm.Query('compute.googleapis.com/instance/cpu/utilization', hours=7*24)
cpu_metadata = query_cpu.metadata()
instance_prefix_counts = collections.Counter(
timeseries.metric.labels['instance_name'].rsplit('-', 1)[0]
for timeseries in cpu_metadata)
instance_prefix_counts.most_common(5)
common_prefix = "ad-dc1"
print 'done'
#%%
query_cpu = query_cpu.select_metrics(instance_name_prefix=common_prefix)
# Aggregate to hourly intervals per zone.
query_cpu = query_cpu.align(gcm.Aligner.ALIGN_MEAN, hours=1)
query_cpu = query_cpu.reduce(gcm.Reducer.REDUCE_MEAN, 'resource.zone')
