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76 lines
2.9 KiB
Python
76 lines
2.9 KiB
Python
# Copyright 2024 gRPC authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Dict, List
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from opentelemetry.sdk.metrics.export import AggregationTemporality
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from opentelemetry.sdk.metrics.export import MetricExportResult
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from opentelemetry.sdk.metrics.export import MetricExporter
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from opentelemetry.sdk.metrics.export import MetricsData
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class OTelMetricExporter(MetricExporter):
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"""Implementation of :class:`MetricExporter` that export metrics to the
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provided metric_list.
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all_metrics: A dict whose keys are grpc_observability._opentelemetry_measures.Metric.name,
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value is a list of labels recorded for that metric.
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An example item of this dict:
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{"grpc.client.attempt.started":
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[{'grpc.method': 'test/UnaryUnary', 'grpc.target': 'localhost:42517'},
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{'grpc.method': 'other', 'grpc.target': 'localhost:42517'}]}
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"""
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def __init__(
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self,
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all_metrics: Dict[str, List],
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preferred_temporality: Dict[type, AggregationTemporality] = None,
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preferred_aggregation: Dict[
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type, "opentelemetry.sdk.metrics.view.Aggregation"
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] = None,
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print_live: bool = False,
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):
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super().__init__(
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preferred_temporality=preferred_temporality,
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preferred_aggregation=preferred_aggregation,
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)
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self._all_metrics = all_metrics
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self._print_live = print_live
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def export(
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self,
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metrics_data: MetricsData,
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timeout_millis: float = 10_000,
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**kwargs,
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) -> MetricExportResult:
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self.record_metric(metrics_data)
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return MetricExportResult.SUCCESS
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def shutdown(self, timeout_millis: float = 30_000, **kwargs) -> None:
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pass
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def force_flush(self, timeout_millis: float = 10_000) -> bool:
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return True
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def record_metric(self, metrics_data: MetricsData) -> None:
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for resource_metric in metrics_data.resource_metrics:
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for scope_metric in resource_metric.scope_metrics:
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for metric in scope_metric.metrics:
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for data_point in metric.data.data_points:
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self._all_metrics[metric.name].append(
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data_point.attributes
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)
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if self._print_live:
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print(f"Metric exporter received: {metric.name}")
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