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The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
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75 lines
2.9 KiB
75 lines
2.9 KiB
# 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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