def translate_to_collector(
metric_records: Sequence[MetricRecord], ) -> Sequence[metrics_pb2.Metric]:
collector_metrics = []
for metric_record in metric_records:
label_values = []
label_keys = []
for label_tuple in metric_record.labels:
label_keys.append(metrics_pb2.LabelKey(key=label_tuple[0]))
label_values.append(
metrics_pb2.LabelValue(has_value=label_tuple[1] is not None,
value=label_tuple[1]))
metric_descriptor = metrics_pb2.MetricDescriptor(
name=metric_record.metric.name,
description=metric_record.metric.description,
unit=metric_record.metric.unit,
type=get_collector_metric_type(metric_record.metric),
label_keys=label_keys,
)
timeseries = metrics_pb2.TimeSeries(
label_values=label_values,
points=[get_collector_point(metric_record)],
)
collector_metrics.append(
metrics_pb2.Metric(metric_descriptor=metric_descriptor,
timeseries=[timeseries]))
return collector_metrics
def translate_to_collector(
export_records: Sequence[ExportRecord],
exporter_start_timestamp: Timestamp,
) -> Sequence[metrics_pb2.Metric]:
collector_metrics = []
for export_record in export_records:
label_values = []
label_keys = []
for label_tuple in export_record.labels:
label_keys.append(metrics_pb2.LabelKey(key=label_tuple[0]))
label_values.append(
metrics_pb2.LabelValue(
has_value=label_tuple[1] is not None,
value=str(label_tuple[1]),
)
)
metric_descriptor = metrics_pb2.MetricDescriptor(
name=export_record.instrument.name,
description=export_record.instrument.description,
unit=export_record.instrument.unit,
type=get_collector_metric_type(export_record.instrument),
label_keys=label_keys,
)
# If cumulative and stateful, explicitly set the start_timestamp to
# exporter start time.
if export_record.instrument.meter.processor.stateful:
start_timestamp = exporter_start_timestamp
else:
start_timestamp = None
timeseries = metrics_pb2.TimeSeries(
label_values=label_values,
points=[get_collector_point(export_record)],
start_timestamp=start_timestamp,
)
collector_metrics.append(
metrics_pb2.Metric(
metric_descriptor=metric_descriptor,
timeseries=[timeseries],
resource=get_resource(export_record),
)
)
return collector_metrics
def _get_metric_proto(metric):
return metrics_pb2.Metric(
metric_descriptor=_get_metric_descriptor_proto(metric.descriptor),
timeseries=_get_time_series_list_proto(metric.time_series))