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feat(opencensus-shim): implement OpenCensus metric producer
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87 changes: 87 additions & 0 deletions
87
experimental/packages/shim-opencensus/src/OpenCensusMetricProducer.ts
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/* | ||
* Copyright The OpenTelemetry Authors | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* https://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
|
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import * as oc from '@opencensus/core'; | ||
import { Resource } from '@opentelemetry/resources'; | ||
import { | ||
CollectionResult, | ||
MetricData, | ||
MetricProducer, | ||
ScopeMetrics, | ||
} from '@opentelemetry/sdk-metrics'; | ||
import { mapOcMetric } from './metric-transform'; | ||
import { VERSION } from './version'; | ||
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const SCOPE = { | ||
name: '@opentelemetry/shim-opencensus', | ||
version: VERSION, | ||
} as const; | ||
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/** | ||
* A {@link MetricProducer} which collects metrics from OpenCensus. Provide an instance to your | ||
* {@link MetricReader} when you create it to include all OpenCensus metrics in the collection | ||
* result: | ||
* | ||
* @example | ||
* ``` | ||
* const meterProvider = new MeterProvider(); | ||
* const reader = new PeriodicExportingMetricReader({ | ||
* metricProducers: [new OpenCensusMetricProducer()], | ||
* exporter: exporter, | ||
* }); | ||
* meterProvider.addMetricReader(reader); | ||
* ``` | ||
*/ | ||
export class OpenCensusMetricProducer implements MetricProducer { | ||
async collect(): Promise<CollectionResult> { | ||
const metrics = await this._collectOpenCensus(); | ||
const scopeMetrics: ScopeMetrics[] = | ||
metrics.length === 0 | ||
? [] | ||
: [ | ||
{ | ||
scope: SCOPE, | ||
metrics, | ||
}, | ||
]; | ||
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return { | ||
errors: [], | ||
resourceMetrics: { | ||
// Resource is ignored by the SDK, it just uses the SDK's resource | ||
resource: Resource.EMPTY, | ||
scopeMetrics, | ||
}, | ||
}; | ||
} | ||
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private async _collectOpenCensus(): Promise<MetricData[]> { | ||
const metrics: MetricData[] = []; | ||
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// The use of oc.Metrics.getMetricProducerManager() was adapted from | ||
// https://github.com/census-instrumentation/opencensus-node/blob/d46c8891b15783803d724b717db9a8c22cb73d6a/packages/opencensus-exporter-stackdriver/src/stackdriver-monitoring.ts#L122 | ||
for (const metricProducer of oc.Metrics.getMetricProducerManager().getAllMetricProducer()) { | ||
for (const metric of metricProducer.getMetrics()) { | ||
const metricData = mapOcMetric(metric); | ||
if (metricData !== null) { | ||
metrics.push(metricData); | ||
} | ||
} | ||
} | ||
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return metrics; | ||
} | ||
} |
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210 changes: 210 additions & 0 deletions
210
experimental/packages/shim-opencensus/src/metric-transform.ts
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/* | ||
* Copyright The OpenTelemetry Authors | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* https://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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import * as oc from '@opencensus/core'; | ||
import { Attributes, HrTime, ValueType, diag } from '@opentelemetry/api'; | ||
import { | ||
AggregationTemporality, | ||
DataPoint, | ||
DataPointType, | ||
GaugeMetricData, | ||
HistogramMetricData, | ||
InstrumentType, | ||
MetricData, | ||
SumMetricData, | ||
} from '@opentelemetry/sdk-metrics'; | ||
import { FlatMap } from '@opentelemetry/sdk-metrics/src/utils'; | ||
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type BaseMetric = Omit<MetricData, 'dataPoints' | 'dataPointType'>; | ||
interface MappedType { | ||
type: InstrumentType; | ||
valueType: ValueType; | ||
dataPointType: | ||
| DataPointType.GAUGE | ||
| DataPointType.SUM | ||
| DataPointType.HISTOGRAM; | ||
} | ||
const ZEROED_HRTIME: HrTime = [0, 0]; | ||
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export function mapOcMetric(metric: oc.Metric): MetricData | null { | ||
const { description, name, unit, type } = metric.descriptor; | ||
const mappedType = mapOcMetricDescriptorType(type); | ||
if (mappedType === null) { | ||
return null; | ||
} | ||
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const baseMetric: BaseMetric = { | ||
aggregationTemporality: AggregationTemporality.CUMULATIVE, | ||
descriptor: { | ||
description, | ||
name, | ||
unit, | ||
type: mappedType.type, | ||
valueType: mappedType.valueType, | ||
}, | ||
}; | ||
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switch (mappedType.dataPointType) { | ||
case DataPointType.GAUGE: | ||
return gauge(metric, mappedType.dataPointType, baseMetric); | ||
case DataPointType.SUM: | ||
return sum(metric, mappedType.dataPointType, baseMetric); | ||
case DataPointType.HISTOGRAM: | ||
return histogram(metric, mappedType.dataPointType, baseMetric); | ||
} | ||
} | ||
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function mapOcMetricDescriptorType( | ||
type: oc.MetricDescriptorType | ||
): MappedType | null { | ||
switch (type) { | ||
case oc.MetricDescriptorType.GAUGE_INT64: | ||
return { | ||
type: InstrumentType.OBSERVABLE_GAUGE, | ||
valueType: ValueType.INT, | ||
dataPointType: DataPointType.GAUGE, | ||
}; | ||
case oc.MetricDescriptorType.GAUGE_DOUBLE: | ||
return { | ||
type: InstrumentType.OBSERVABLE_GAUGE, | ||
valueType: ValueType.DOUBLE, | ||
dataPointType: DataPointType.GAUGE, | ||
}; | ||
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case oc.MetricDescriptorType.CUMULATIVE_INT64: | ||
return { | ||
type: InstrumentType.COUNTER, | ||
valueType: ValueType.INT, | ||
dataPointType: DataPointType.SUM, | ||
}; | ||
case oc.MetricDescriptorType.CUMULATIVE_DOUBLE: | ||
return { | ||
type: InstrumentType.COUNTER, | ||
valueType: ValueType.DOUBLE, | ||
dataPointType: DataPointType.SUM, | ||
}; | ||
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case oc.MetricDescriptorType.CUMULATIVE_DISTRIBUTION: | ||
return { | ||
type: InstrumentType.HISTOGRAM, | ||
valueType: ValueType.DOUBLE, | ||
dataPointType: DataPointType.HISTOGRAM, | ||
}; | ||
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case oc.MetricDescriptorType.SUMMARY: | ||
case oc.MetricDescriptorType.GAUGE_DISTRIBUTION: | ||
case oc.MetricDescriptorType.UNSPECIFIED: | ||
diag.warn( | ||
'Got unsupported metric MetricDescriptorType from OpenCensus: %s', | ||
type | ||
); | ||
return null; | ||
} | ||
} | ||
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function gauge( | ||
metric: oc.Metric, | ||
dataPointType: DataPointType.GAUGE, | ||
baseMetric: BaseMetric | ||
): GaugeMetricData { | ||
return { | ||
...baseMetric, | ||
dataPoints: dataPoints(metric, value => value as number), | ||
dataPointType, | ||
}; | ||
} | ||
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function sum( | ||
metric: oc.Metric, | ||
dataPointType: DataPointType.SUM, | ||
baseMetric: BaseMetric | ||
): SumMetricData { | ||
return { | ||
...baseMetric, | ||
dataPoints: dataPoints(metric, value => value as number), | ||
isMonotonic: true, | ||
dataPointType, | ||
}; | ||
} | ||
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function histogram( | ||
metric: oc.Metric, | ||
dataPointType: DataPointType.HISTOGRAM, | ||
baseMetric: BaseMetric | ||
): HistogramMetricData { | ||
return { | ||
...baseMetric, | ||
dataPoints: dataPoints(metric, value => { | ||
const { | ||
bucketOptions: { | ||
explicit: { bounds }, | ||
}, | ||
buckets, | ||
count, | ||
sum: distSum, | ||
} = value as oc.DistributionValue; | ||
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return { | ||
buckets: { | ||
boundaries: bounds, | ||
counts: buckets.map(bucket => bucket.count), | ||
}, | ||
count, | ||
sum: distSum, | ||
}; | ||
}), | ||
dataPointType, | ||
}; | ||
} | ||
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function dataPoints<T>( | ||
metric: oc.Metric, | ||
valueMapper: (value: oc.TimeSeriesPoint['value']) => T | ||
): DataPoint<T>[] { | ||
return FlatMap(metric.timeseries, ts => { | ||
const attributes = zipOcLabels(metric.descriptor.labelKeys, ts.labelValues); | ||
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// use zeroed hrTime if it is undefined, which probably shouldn't happen | ||
const startTime = ocTimestampToHrTime(ts.startTimestamp) ?? ZEROED_HRTIME; | ||
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return ts.points.map( | ||
(point): DataPoint<T> => ({ | ||
startTime, | ||
attributes, | ||
value: valueMapper(point.value), | ||
endTime: ocTimestampToHrTime(point.timestamp) ?? ZEROED_HRTIME, | ||
}) | ||
); | ||
}); | ||
} | ||
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function ocTimestampToHrTime(ts: oc.Timestamp | undefined): HrTime | null { | ||
if (ts === undefined || ts.seconds === null) { | ||
return null; | ||
} | ||
return [ts.seconds, ts.nanos ?? 0]; | ||
} | ||
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function zipOcLabels( | ||
labelKeys: oc.LabelKey[], | ||
labelValues: oc.LabelValue[] | ||
): Attributes { | ||
const attributes: Attributes = {}; | ||
for (let i = 0; i < labelKeys.length; i++) { | ||
attributes[labelKeys[i].key] = labelValues[i].value ?? ''; | ||
} | ||
return attributes; | ||
} |
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