How to use the opentelemetry-sdk.src.opentelemetry.sdk.metrics.__init__.LabelSet function in opentelemetry-sdk

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github open-telemetry / opentelemetry-python / opentelemetry-sdk / src / opentelemetry / sdk / metrics / __init__.py View on Github external
def get_label_set(self, labels: Dict[str, str]):
        """See `opentelemetry.metrics.Meter.create_metric`.

        This implementation encodes the labels to use as a map key.

        Args:
            labels: The dictionary of label keys to label values.
        """
        if len(labels) == 0:
            return EMPTY_LABEL_SET
        # Use simple encoding for now until encoding API is implemented
        encoded = tuple(sorted(labels.items()))
        # If LabelSet exists for this meter in memory, use existing one
        if encoded not in self.labels:
            self.labels[encoded] = LabelSet(labels=labels)
        return self.labels[encoded]
github open-telemetry / opentelemetry-python / opentelemetry-sdk / src / opentelemetry / sdk / metrics / __init__.py View on Github external
unit,
            value_type,
            label_keys=label_keys,
            enabled=enabled,
            monotonic=monotonic,
        )

    def record(self, label_set: LabelSet, value: metrics_api.ValueT) -> None:
        """See `opentelemetry.metrics.Measure.record`."""
        self.get_handle(label_set).record(value)

    UPDATE_FUNCTION = record


# Used when getting a LabelSet with no key/values
EMPTY_LABEL_SET = LabelSet()


class Meter(metrics_api.Meter):
    """See `opentelemetry.metrics.Meter`."""

    def __init__(self):
        self.labels = {}

    def record_batch(
        self,
        label_set: LabelSet,
        record_tuples: Sequence[Tuple[metrics_api.Metric, metrics_api.ValueT]],
    ) -> None:
        """See `opentelemetry.metrics.Meter.record_batch`."""
        for metric, value in record_tuples:
            metric.UPDATE_FUNCTION(label_set, value)

opentelemetry-sdk

OpenTelemetry Python SDK

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Latest version published 11 days ago

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