def _get_data_points(sdk_metric: MetricRecord,
data_point_class: Type[DataPointT]) -> List[DataPointT]:
data_points = []
for (
label,
bound_counter,
) in sdk_metric.instrument.bound_instruments.items():
string_key_values = []
for label_key, label_value in label:
string_key_values.append(
StringKeyValue(key=label_key, value=label_value))
for view_data in bound_counter.view_datas:
if view_data.labels == label:
data_points.append(
data_point_class(
labels=string_key_values,
value=view_data.aggregator.current,
))
break
return data_points
def _get_data_points(export_record: ExportRecord,
data_point_class: Type[DataPointT]) -> List[DataPointT]:
if isinstance(export_record.aggregator, SumAggregator):
value = export_record.aggregator.checkpoint
elif isinstance(export_record.aggregator, MinMaxSumCountAggregator):
# FIXME: How are values to be interpreted from this aggregator?
raise Exception("MinMaxSumCount aggregator data not supported")
elif isinstance(export_record.aggregator, HistogramAggregator):
# FIXME: How are values to be interpreted from this aggregator?
raise Exception("Histogram aggregator data not supported")
elif isinstance(export_record.aggregator, LastValueAggregator):
value = export_record.aggregator.checkpoint
elif isinstance(export_record.aggregator, ValueObserverAggregator):
value = export_record.aggregator.checkpoint.last
return [
data_point_class(
labels=[
StringKeyValue(key=str(label_key), value=str(label_value))
for label_key, label_value in export_record.labels
],
value=value,
start_time_unix_nano=(
export_record.aggregator.initial_checkpoint_timestamp),
time_unix_nano=(export_record.aggregator.last_update_timestamp),
)
]
def test_translate_updowncounter_export_record(self, mock_time_ns):
mock_time_ns.configure_mock(**{"return_value": 1})
counter_export_record = ExportRecord(
UpDownCounter("c", "d", "e", int, self.meter),
[("g", "h")],
SumAggregator(),
self.resource,
)
counter_export_record.aggregator.checkpoint = 1
counter_export_record.aggregator.initial_checkpoint_timestamp = 1
counter_export_record.aggregator.last_update_timestamp = 1
expected = ExportMetricsServiceRequest(resource_metrics=[
ResourceMetrics(
resource=OTLPResource(attributes=[
KeyValue(key="a", value=AnyValue(int_value=1)),
KeyValue(key="b", value=AnyValue(bool_value=False)),
]),
instrumentation_library_metrics=[
InstrumentationLibraryMetrics(
instrumentation_library=InstrumentationLibrary(
name="name",
version="version",
),
metrics=[
OTLPMetric(
name="c",
description="d",
unit="e",
int_sum=IntSum(
data_points=[
IntDataPoint(
labels=[
StringKeyValue(key="g",
value="h")
],
value=1,
time_unix_nano=1,
start_time_unix_nano=1,
)
],
aggregation_temporality=(
AggregationTemporality.
AGGREGATION_TEMPORALITY_CUMULATIVE),
),
)
],
)
],
)
])
# pylint: disable=protected-access
actual = self.exporter._translate_data([counter_export_record])
self.assertEqual(expected, actual)
def test_translate_metrics(self, mock_time_ns):
# pylint: disable=no-member
mock_time_ns.configure_mock(**{"return_value": 1})
self.counter_metric_record.aggregator.checkpoint = 1
self.counter_metric_record.aggregator.initial_checkpoint_timestamp = 1
self.counter_metric_record.aggregator.last_update_timestamp = 1
expected = ExportMetricsServiceRequest(resource_metrics=[
ResourceMetrics(
resource=OTLPResource(attributes=[
KeyValue(key="a", value=AnyValue(int_value=1)),
KeyValue(key="b", value=AnyValue(bool_value=False)),
]),
instrumentation_library_metrics=[
InstrumentationLibraryMetrics(metrics=[
OTLPMetric(
name="c",
description="d",
unit="e",
int_sum=IntSum(
data_points=[
IntDataPoint(
labels=[
StringKeyValue(key="g", value="h")
],
value=1,
time_unix_nano=1,
start_time_unix_nano=1,
)
],
aggregation_temporality=(
AggregationTemporality.
AGGREGATION_TEMPORALITY_DELTA),
is_monotonic=True,
),
)
])
],
)
])
# pylint: disable=protected-access
actual = self.exporter._translate_data([self.counter_metric_record])
self.assertEqual(expected, actual)
def _get_data_points(
export_record: ExportRecord,
data_point_class: Type[DataPointT],
aggregation_temporality: int,
) -> List[DataPointT]:
if isinstance(export_record.aggregator, SumAggregator):
value = export_record.aggregator.checkpoint
elif isinstance(export_record.aggregator, MinMaxSumCountAggregator):
# FIXME: How are values to be interpreted from this aggregator?
raise Exception("MinMaxSumCount aggregator data not supported")
elif isinstance(export_record.aggregator, HistogramAggregator):
# FIXME: How are values to be interpreted from this aggregator?
raise Exception("Histogram aggregator data not supported")
elif isinstance(export_record.aggregator, LastValueAggregator):
value = export_record.aggregator.checkpoint
elif isinstance(export_record.aggregator, ValueObserverAggregator):
value = export_record.aggregator.checkpoint.last
if aggregation_temporality == (
AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE
):
start_time_unix_nano = export_record.aggregator.first_timestamp
else:
start_time_unix_nano = (
export_record.aggregator.initial_checkpoint_timestamp
)
return [
data_point_class(
labels=[
StringKeyValue(key=str(label_key), value=str(label_value))
for label_key, label_value in export_record.labels
],
value=value,
start_time_unix_nano=start_time_unix_nano,
time_unix_nano=(export_record.aggregator.last_update_timestamp),
)
]
def test_translate_metrics(self):
# pylint: disable=no-member
self.counter_metric_record.instrument.add(1, OrderedDict([("a", "b")]))
expected = ExportMetricsServiceRequest(resource_metrics=[
ResourceMetrics(
resource=OTLPResource(attributes=[
KeyValue(key="a", value=AnyValue(int_value=1)),
KeyValue(key="b", value=AnyValue(bool_value=False)),
]),
instrumentation_library_metrics=[
InstrumentationLibraryMetrics(metrics=[
OTLPMetric(
name="a",
description="b",
unit="c",
int_sum=IntSum(
data_points=[
IntDataPoint(
labels=[
StringKeyValue(key="a", value="b")
],
value=1,
)
],
aggregation_temporality=(
AggregationTemporality.
AGGREGATION_TEMPORALITY_DELTA),
is_monotonic=True,
),
)
])
],
)
])
# pylint: disable=protected-access
actual = self.exporter._translate_data([self.counter_metric_record])
self.assertEqual(expected, actual)
def test_translate_metrics(self):
# pylint: disable=no-member
self.counter_metric_record.instrument.add(1, OrderedDict([("a", "b")]))
expected = ExportMetricsServiceRequest(resource_metrics=[
ResourceMetrics(
resource=CollectorResource(attributes=[
KeyValue(key="a", value=AnyValue(int_value=1)),
KeyValue(key="b", value=AnyValue(bool_value=False)),
]),
instrumentation_library_metrics=[
InstrumentationLibraryMetrics(metrics=[
CollectorMetric(
metric_descriptor=MetricDescriptor(
name="a",
description="b",
unit="c",
type=MetricDescriptor.Type.INT64,
temporality=(
MetricDescriptor.Temporality.DELTA),
),
int64_data_points=[
Int64DataPoint(
labels=[
StringKeyValue(key="a", value="b")
],
value=1,
)
],
)
])
],
)
])
# pylint: disable=protected-access
actual = self.exporter._translate_data([self.counter_metric_record])
self.assertEqual(expected, actual)