Updated DB_Helper by adding firebase methods.
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venv/Lib/site-packages/gcloud/monitoring/test_timeseries.py
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venv/Lib/site-packages/gcloud/monitoring/test_timeseries.py
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# Copyright 2016 Google Inc. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest2
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METRIC_TYPE = 'compute.googleapis.com/instance/uptime'
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METRIC_LABELS = {'instance_name': 'instance-1'}
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RESOURCE_TYPE = 'gce_instance'
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RESOURCE_LABELS = {
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'project_id': 'my-project',
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'zone': 'us-east1-a',
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'instance_id': '1234567890123456789',
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}
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METRIC_KIND = 'DELTA'
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VALUE_TYPE = 'DOUBLE'
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TS0 = '2016-04-06T22:05:00.042Z'
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TS1 = '2016-04-06T22:05:01.042Z'
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TS2 = '2016-04-06T22:05:02.042Z'
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class TestTimeSeries(unittest2.TestCase):
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def _getTargetClass(self):
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from gcloud.monitoring.timeseries import TimeSeries
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return TimeSeries
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def _makeOne(self, *args, **kwargs):
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return self._getTargetClass()(*args, **kwargs)
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def test_constructor(self):
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from gcloud.monitoring.metric import Metric
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from gcloud.monitoring.resource import Resource
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from gcloud.monitoring.timeseries import Point
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VALUE = 60 # seconds
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METRIC = Metric(type=METRIC_TYPE, labels=METRIC_LABELS)
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RESOURCE = Resource(type=RESOURCE_TYPE, labels=RESOURCE_LABELS)
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POINTS = [
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Point(start_time=TS0, end_time=TS1, value=VALUE),
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Point(start_time=TS1, end_time=TS2, value=VALUE),
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]
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series = self._makeOne(metric=METRIC,
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resource=RESOURCE,
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metric_kind=METRIC_KIND,
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value_type=VALUE_TYPE,
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points=POINTS)
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self.assertEqual(series.metric, METRIC)
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self.assertEqual(series.resource, RESOURCE)
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self.assertEqual(series.metric_kind, METRIC_KIND)
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self.assertEqual(series.value_type, VALUE_TYPE)
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self.assertEqual(series.points, POINTS)
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def test_from_dict(self):
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VALUE = 60 # seconds
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info = {
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'metric': {'type': METRIC_TYPE, 'labels': METRIC_LABELS},
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'resource': {'type': RESOURCE_TYPE, 'labels': RESOURCE_LABELS},
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'metricKind': METRIC_KIND,
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'valueType': VALUE_TYPE,
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'points': [
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{
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'interval': {'startTime': TS0, 'endTime': TS1},
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'value': {'doubleValue': VALUE},
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},
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{
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'interval': {'startTime': TS1, 'endTime': TS2},
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'value': {'doubleValue': VALUE},
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},
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],
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}
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series = self._getTargetClass()._from_dict(info)
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self.assertEqual(series.metric.type, METRIC_TYPE)
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self.assertEqual(series.metric.labels, METRIC_LABELS)
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self.assertEqual(series.resource.type, RESOURCE_TYPE)
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self.assertEqual(series.resource.labels, RESOURCE_LABELS)
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self.assertEqual(series.metric_kind, METRIC_KIND)
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self.assertEqual(series.value_type, VALUE_TYPE)
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self.assertEqual(len(series.points), 2)
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point1, point2 = series.points
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self.assertEqual(point1.start_time, TS0)
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self.assertEqual(point1.end_time, TS1)
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self.assertEqual(point1.value, VALUE)
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self.assertEqual(point2.start_time, TS1)
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self.assertEqual(point2.end_time, TS2)
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self.assertEqual(point2.value, VALUE)
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def test_from_dict_no_points(self):
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info = {
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'metric': {'type': METRIC_TYPE, 'labels': METRIC_LABELS},
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'resource': {'type': RESOURCE_TYPE, 'labels': RESOURCE_LABELS},
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'metricKind': METRIC_KIND,
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'valueType': VALUE_TYPE,
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}
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series = self._getTargetClass()._from_dict(info)
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self.assertEqual(series.metric.type, METRIC_TYPE)
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self.assertEqual(series.metric.labels, METRIC_LABELS)
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self.assertEqual(series.resource.type, RESOURCE_TYPE)
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self.assertEqual(series.resource.labels, RESOURCE_LABELS)
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self.assertEqual(series.metric_kind, METRIC_KIND)
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self.assertEqual(series.value_type, VALUE_TYPE)
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self.assertEqual(series.points, [])
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def test_labels(self):
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info = {
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'metric': {'type': METRIC_TYPE, 'labels': METRIC_LABELS},
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'resource': {'type': RESOURCE_TYPE, 'labels': RESOURCE_LABELS},
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'metricKind': METRIC_KIND,
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'valueType': VALUE_TYPE,
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}
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series = self._getTargetClass()._from_dict(info)
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labels = {'resource_type': RESOURCE_TYPE}
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labels.update(RESOURCE_LABELS)
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labels.update(METRIC_LABELS)
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self.assertIsNone(series._labels)
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self.assertEqual(series.labels, labels)
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self.assertIsNotNone(series._labels)
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self.assertEqual(series.labels, labels)
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class TestPoint(unittest2.TestCase):
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def _getTargetClass(self):
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from gcloud.monitoring.timeseries import Point
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return Point
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def _makeOne(self, *args, **kwargs):
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return self._getTargetClass()(*args, **kwargs)
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def test_constructor(self):
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VALUE = 3.14
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point = self._makeOne(start_time=TS0, end_time=TS1, value=VALUE)
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self.assertEqual(point.start_time, TS0)
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self.assertEqual(point.end_time, TS1)
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self.assertEqual(point.value, VALUE)
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def test_from_dict(self):
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VALUE = 3.14
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info = {
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'interval': {'startTime': TS0, 'endTime': TS1},
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'value': {'doubleValue': VALUE},
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}
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point = self._getTargetClass()._from_dict(info)
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self.assertEqual(point.start_time, TS0)
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self.assertEqual(point.end_time, TS1)
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self.assertEqual(point.value, VALUE)
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def test_from_dict_defaults(self):
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VALUE = 3.14
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info = {
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'interval': {'endTime': TS1},
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'value': {'doubleValue': VALUE},
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}
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point = self._getTargetClass()._from_dict(info)
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self.assertIsNone(point.start_time)
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self.assertEqual(point.end_time, TS1)
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self.assertEqual(point.value, VALUE)
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def test_from_dict_int64(self):
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VALUE = 2 ** 63 - 1
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info = {
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'interval': {'endTime': TS1},
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'value': {'int64Value': str(VALUE)},
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}
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point = self._getTargetClass()._from_dict(info)
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self.assertIsNone(point.start_time)
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self.assertEqual(point.end_time, TS1)
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self.assertEqual(point.value, VALUE)
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