def test_merge_last_updated_none(self):
observer1 = ValueObserverAggregator()
observer2 = ValueObserverAggregator()
mmsc_checkpoint1 = MinMaxSumCountAggregator._TYPE(3, 150, 101, 3)
mmsc_checkpoint2 = MinMaxSumCountAggregator._TYPE(1, 33, 44, 2)
checkpoint1 = ValueObserverAggregator._TYPE(*(mmsc_checkpoint1 +
(23, )))
checkpoint2 = ValueObserverAggregator._TYPE(*(mmsc_checkpoint2 +
(27, )))
observer1.mmsc.checkpoint = mmsc_checkpoint1
observer2.mmsc.checkpoint = mmsc_checkpoint2
observer1.last_update_timestamp = 0
observer2.last_update_timestamp = 100
observer1.checkpoint = checkpoint1
observer2.checkpoint = checkpoint2
observer1.merge(observer2)
self.assertEqual(
observer1.checkpoint,
(
min(checkpoint1.min, checkpoint2.min),
max(checkpoint1.max, checkpoint2.max),
checkpoint1.sum + checkpoint2.sum,
checkpoint1.count + checkpoint2.count,
checkpoint2.last,
),
)
self.assertEqual(observer1.last_update_timestamp, 100)
def test_merge_with_empty(self):
observer1 = ValueObserverAggregator()
observer2 = ValueObserverAggregator()
mmsc_checkpoint1 = MinMaxSumCountAggregator._TYPE(3, 150, 101, 3)
checkpoint1 = ValueObserverAggregator._TYPE(*(mmsc_checkpoint1 +
(23, )))
observer1.mmsc.checkpoint = mmsc_checkpoint1
observer1.checkpoint = checkpoint1
observer1.last_update_timestamp = 100
observer1.merge(observer2)
self.assertEqual(observer1.checkpoint, checkpoint1)
def test_export_value_observer(self):
client = mock.Mock()
with mock.patch(
"opentelemetry.exporter.cloud_monitoring.time_ns",
lambda: NANOS_PER_SECOND,
):
exporter = CloudMonitoringMetricsExporter(
project_id=self.project_id, client=client)
exporter.project_name = self.project_name
client.create_metric_descriptor.return_value = MetricDescriptor(
**{
"name": None,
"type": "custom.googleapis.com/OpenTelemetry/name",
"display_name": "name",
"description": "description",
"labels": [],
"metric_kind": "GAUGE",
"value_type": "INT64",
})
aggregator = ValueObserverAggregator()
aggregator.checkpoint = aggregator._TYPE(1, 2, 3, 4, 5)
aggregator.last_update_timestamp = (WRITE_INTERVAL +
1) * NANOS_PER_SECOND
exporter.export([
ExportRecord(
MockMetric(meter=mock_meter()),
(),
aggregator,
Resource.create_empty(),
)
])
series = TimeSeries()
series.metric_kind = MetricDescriptor.MetricKind.GAUGE
series.metric.type = "custom.googleapis.com/OpenTelemetry/name"
point = series.points.add()
point.value.int64_value = 5
point.interval.end_time.seconds = WRITE_INTERVAL + 1
point.interval.end_time.nanos = 0
point.interval.start_time.seconds = WRITE_INTERVAL + 1
point.interval.start_time.nanos = 0
client.create_time_series.assert_has_calls(
[mock.call(self.project_name, [series])])