示例#1
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    def test_write_point(self):
        import datetime
        PATH = '/projects/{project}/timeSeries/'.format(project=PROJECT)
        client = self._makeOne(project=PROJECT, credentials=_Credentials())

        RESOURCE_TYPE = 'gce_instance'
        RESOURCE_LABELS = {
            'instance_id': '1234567890123456789',
            'zone': 'us-central1-f'
        }

        METRIC_TYPE = 'custom.googleapis.com/my_metric'
        METRIC_LABELS = {'status': 'successful'}

        connection = client.connection = _Connection({})

        METRIC = client.metric(METRIC_TYPE, METRIC_LABELS)
        RESOURCE = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
        VALUE = 3.14
        TIMESTAMP = datetime.datetime.now()
        TIMESERIES = client.time_series(METRIC, RESOURCE, VALUE, TIMESTAMP)

        expected_request = {
            'method': 'POST',
            'path': PATH,
            'data': {
                'timeSeries': [TIMESERIES._to_dict()]
            }
        }

        client.write_point(METRIC, RESOURCE, VALUE, TIMESTAMP)
        request, = connection._requested
        self.assertEqual(request, expected_request)
示例#2
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    def test_write_point(self):
        import datetime
        PATH = '/projects/{project}/timeSeries/'.format(project=PROJECT)
        client = self._makeOne(project=PROJECT, credentials=_Credentials())

        RESOURCE_TYPE = 'gce_instance'
        RESOURCE_LABELS = {
            'instance_id': '1234567890123456789',
            'zone': 'us-central1-f'
        }

        METRIC_TYPE = 'custom.googleapis.com/my_metric'
        METRIC_LABELS = {
            'status': 'successful'
        }

        connection = client.connection = _Connection({})

        METRIC = client.metric(METRIC_TYPE, METRIC_LABELS)
        RESOURCE = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
        VALUE = 3.14
        TIMESTAMP = datetime.datetime.now()
        TIMESERIES = client.time_series(METRIC, RESOURCE, VALUE, TIMESTAMP)

        expected_request = {'method': 'POST', 'path': PATH,
                            'data': {'timeSeries': [TIMESERIES._to_dict()]}}

        client.write_point(METRIC, RESOURCE, VALUE, TIMESTAMP)
        request, = connection._requested
        self.assertEqual(request, expected_request)
示例#3
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    def test_timeseries_factory_cumulative(self):
        import datetime
        from google.cloud._helpers import _datetime_to_rfc3339
        MY_CUMULATIVE_METRIC = 'custom.googleapis.com/my_cumulative_metric'
        METRIC_LABELS = {
            'status': 'successful'
        }

        RESOURCE_TYPE = 'gce_instance'
        RESOURCE_LABELS = {
            'instance_id': '1234567890123456789',
            'zone': 'us-central1-f'
        }

        client = self._makeOne(project=PROJECT, credentials=_Credentials())
        client.connection = _Connection()   # For safety's sake.
        resource = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)

        VALUE = 42
        VALUE2 = 43
        RESET_TIME = datetime.datetime.utcnow()
        TIME1 = datetime.datetime.utcnow()
        TIME2 = datetime.datetime.utcnow()

        # Construct a couple of time series assuming a cumulative metric.
        cumulative_metric = client.metric(MY_CUMULATIVE_METRIC, METRIC_LABELS)
        cumulative_timeseries = client.time_series(cumulative_metric,
                                                   resource,
                                                   VALUE,
                                                   start_time=RESET_TIME,
                                                   end_time=TIME1)

        cumulative_timeseries2 = client.time_series(cumulative_metric,
                                                    resource,
                                                    VALUE2,
                                                    start_time=RESET_TIME,
                                                    end_time=TIME2)

        RESET_TIME_STR = _datetime_to_rfc3339(RESET_TIME, ignore_zone=False)
        TIME1_STR = _datetime_to_rfc3339(TIME1, ignore_zone=False)
        TIME2_STR = _datetime_to_rfc3339(TIME2, ignore_zone=False)

        self.assertEqual(cumulative_timeseries.points[0].start_time,
                         RESET_TIME_STR)
        self.assertEqual(cumulative_timeseries.points[0].end_time, TIME1_STR)
        self.assertEqual(cumulative_timeseries.points[0].value, VALUE)
        self.assertEqual(cumulative_timeseries2.points[0].start_time,
                         RESET_TIME_STR)
        self.assertEqual(cumulative_timeseries2.points[0].end_time,
                         TIME2_STR)
        self.assertEqual(cumulative_timeseries2.points[0].value, VALUE2)
    def test_timeseries_factory_cumulative(self):
        import datetime
        from google.cloud._helpers import _datetime_to_rfc3339
        MY_CUMULATIVE_METRIC = 'custom.googleapis.com/my_cumulative_metric'
        METRIC_LABELS = {
            'status': 'successful'
        }

        RESOURCE_TYPE = 'gce_instance'
        RESOURCE_LABELS = {
            'instance_id': '1234567890123456789',
            'zone': 'us-central1-f'
        }

        client = self._make_one(project=PROJECT, credentials=_Credentials())
        client._connection = _Connection()   # For safety's sake.
        resource = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)

        VALUE = 42
        VALUE2 = 43
        RESET_TIME = datetime.datetime.utcnow()
        TIME1 = datetime.datetime.utcnow()
        TIME2 = datetime.datetime.utcnow()

        # Construct a couple of time series assuming a cumulative metric.
        cumulative_metric = client.metric(MY_CUMULATIVE_METRIC, METRIC_LABELS)
        cumulative_timeseries = client.time_series(cumulative_metric,
                                                   resource,
                                                   VALUE,
                                                   start_time=RESET_TIME,
                                                   end_time=TIME1)

        cumulative_timeseries2 = client.time_series(cumulative_metric,
                                                    resource,
                                                    VALUE2,
                                                    start_time=RESET_TIME,
                                                    end_time=TIME2)

        RESET_TIME_STR = _datetime_to_rfc3339(RESET_TIME, ignore_zone=False)
        TIME1_STR = _datetime_to_rfc3339(TIME1, ignore_zone=False)
        TIME2_STR = _datetime_to_rfc3339(TIME2, ignore_zone=False)

        self.assertEqual(cumulative_timeseries.points[0].start_time,
                         RESET_TIME_STR)
        self.assertEqual(cumulative_timeseries.points[0].end_time, TIME1_STR)
        self.assertEqual(cumulative_timeseries.points[0].value, VALUE)
        self.assertEqual(cumulative_timeseries2.points[0].start_time,
                         RESET_TIME_STR)
        self.assertEqual(cumulative_timeseries2.points[0].end_time,
                         TIME2_STR)
        self.assertEqual(cumulative_timeseries2.points[0].value, VALUE2)
示例#5
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    def test_timeseries_factory_gauge(self):
        import datetime
        from unit_tests._testing import _Monkey
        import google.cloud.monitoring.client
        from google.cloud._helpers import _datetime_to_rfc3339
        METRIC_TYPE = 'custom.googleapis.com/my_metric'
        METRIC_LABELS = {'status': 'successful'}

        RESOURCE_TYPE = 'gce_instance'
        RESOURCE_LABELS = {
            'instance_id': '1234567890123456789',
            'zone': 'us-central1-f'
        }

        VALUE = 42
        TIME1 = datetime.datetime.utcnow()
        TIME1_STR = _datetime_to_rfc3339(TIME1, ignore_zone=False)

        client = self._makeOne(project=PROJECT, credentials=_Credentials())
        client.connection = _Connection()  # For safety's sake.
        metric = client.metric(METRIC_TYPE, METRIC_LABELS)
        resource = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)

        # Construct a time series assuming a gauge metric.
        timeseries = client.time_series(metric,
                                        resource,
                                        VALUE,
                                        end_time=TIME1)
        self.assertEqual(timeseries.metric, metric)
        self.assertEqual(timeseries.resource, resource)
        self.assertEqual(len(timeseries.points), 1)
        self.assertEqual(timeseries.points[0].value, VALUE)
        self.assertIsNone(timeseries.points[0].start_time)
        self.assertEqual(timeseries.points[0].end_time, TIME1_STR)

        TIME2 = datetime.datetime.utcnow()
        TIME2_STR = _datetime_to_rfc3339(TIME2, ignore_zone=False)
        # Construct a time series assuming a gauge metric using the current
        # time
        with _Monkey(google.cloud.monitoring.client, _UTCNOW=lambda: TIME2):
            timeseries_no_end = client.time_series(metric, resource, VALUE)

        self.assertEqual(timeseries_no_end.points[0].end_time, TIME2_STR)
        self.assertIsNone(timeseries_no_end.points[0].start_time)
示例#6
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    def test_timeseries_factory_gauge(self):
        import datetime
        from google.cloud._testing import _Monkey
        import google.cloud.monitoring.client
        from google.cloud._helpers import _datetime_to_rfc3339
        METRIC_TYPE = 'custom.googleapis.com/my_metric'
        METRIC_LABELS = {
            'status': 'successful'
        }

        RESOURCE_TYPE = 'gce_instance'
        RESOURCE_LABELS = {
            'instance_id': '1234567890123456789',
            'zone': 'us-central1-f'
        }

        VALUE = 42
        TIME1 = datetime.datetime.utcnow()
        TIME1_STR = _datetime_to_rfc3339(TIME1, ignore_zone=False)

        client = self._makeOne(project=PROJECT, credentials=_Credentials())
        client.connection = _Connection()   # For safety's sake.
        metric = client.metric(METRIC_TYPE, METRIC_LABELS)
        resource = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)

        # Construct a time series assuming a gauge metric.
        timeseries = client.time_series(metric, resource, VALUE,
                                        end_time=TIME1)
        self.assertEqual(timeseries.metric, metric)
        self.assertEqual(timeseries.resource, resource)
        self.assertEqual(len(timeseries.points), 1)
        self.assertEqual(timeseries.points[0].value, VALUE)
        self.assertIsNone(timeseries.points[0].start_time)
        self.assertEqual(timeseries.points[0].end_time, TIME1_STR)

        TIME2 = datetime.datetime.utcnow()
        TIME2_STR = _datetime_to_rfc3339(TIME2, ignore_zone=False)
        # Construct a time series assuming a gauge metric using the current
        # time
        with _Monkey(google.cloud.monitoring.client, _UTCNOW=lambda: TIME2):
            timeseries_no_end = client.time_series(metric, resource, VALUE)

        self.assertEqual(timeseries_no_end.points[0].end_time, TIME2_STR)
        self.assertIsNone(timeseries_no_end.points[0].start_time)
示例#7
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    def test_write_time_series(self):
        PATH = '/projects/{project}/timeSeries/'.format(project=PROJECT)
        client = self._makeOne(project=PROJECT, credentials=_Credentials())

        RESOURCE_TYPE = 'gce_instance'
        RESOURCE_LABELS = {
            'instance_id': '1234567890123456789',
            'zone': 'us-central1-f'
        }

        METRIC_TYPE = 'custom.googleapis.com/my_metric'
        METRIC_LABELS = {
            'status': 'successful'
        }
        METRIC_TYPE2 = 'custom.googleapis.com/count_404s'
        METRIC_LABELS2 = {
            'request_ip': '127.0.0.1'
        }

        connection = client.connection = _Connection({})

        METRIC = client.metric(METRIC_TYPE, METRIC_LABELS)
        METRIC2 = client.metric(METRIC_TYPE2, METRIC_LABELS2)
        RESOURCE = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)

        TIMESERIES1 = client.time_series(METRIC, RESOURCE, 3)
        TIMESERIES2 = client.time_series(METRIC2, RESOURCE, 3.14)

        expected_data = {
            'timeSeries': [
                TIMESERIES1._to_dict(),
                TIMESERIES2._to_dict()
            ]
        }
        expected_request = {'method': 'POST', 'path': PATH,
                            'data': expected_data}

        client.write_time_series([TIMESERIES1, TIMESERIES2])
        request, = connection._requested
        self.assertEqual(request, expected_request)
    def test_write_time_series(self):
        PATH = '/projects/{project}/timeSeries/'.format(project=PROJECT)
        client = self._make_one(project=PROJECT, credentials=_Credentials())

        RESOURCE_TYPE = 'gce_instance'
        RESOURCE_LABELS = {
            'instance_id': '1234567890123456789',
            'zone': 'us-central1-f'
        }

        METRIC_TYPE = 'custom.googleapis.com/my_metric'
        METRIC_LABELS = {
            'status': 'successful'
        }
        METRIC_TYPE2 = 'custom.googleapis.com/count_404s'
        METRIC_LABELS2 = {
            'request_ip': '127.0.0.1'
        }

        connection = client._connection = _Connection({})

        METRIC = client.metric(METRIC_TYPE, METRIC_LABELS)
        METRIC2 = client.metric(METRIC_TYPE2, METRIC_LABELS2)
        RESOURCE = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)

        TIMESERIES1 = client.time_series(METRIC, RESOURCE, 3)
        TIMESERIES2 = client.time_series(METRIC2, RESOURCE, 3.14)

        expected_data = {
            'timeSeries': [
                TIMESERIES1._to_dict(),
                TIMESERIES2._to_dict()
            ]
        }
        expected_request = {'method': 'POST', 'path': PATH,
                            'data': expected_data}

        client.write_time_series([TIMESERIES1, TIMESERIES2])
        request, = connection._requested
        self.assertEqual(request, expected_request)