o tBh@sddlmZmZddlmZmZddlmZmZm Z ddl Z ddl m Z ddlmZddlmZedd Gd d d Zedd Gd d d Zedd GdddZedd GdddZedd GdddZedd GdddZedd GdddZedd GdddZe eeeefZe eeefZedd GdddZedd GdddZedd GdddZedd Gd d!d!ZdS)")asdict dataclass)dumpsloads)OptionalSequenceUnionN)Resource)InstrumentationScope) AttributesT)frozenc@sJeZdZUdZeed<eed<eed<eeefed<d de fdd Z d S) NumberDataPointdSingle data point in a timeseries that describes the time-varying scalar value of a metric. attributesstart_time_unix_nanotime_unix_nanovaluereturncCtt||dSNindentrrselfrr/var/www/html/riverr-enterprise-integrations-main/venv/lib/python3.10/site-packages/opentelemetry/sdk/metrics/_internal/point.pyto_json'zNumberDataPoint.to_jsonNr) __name__ __module__ __qualname____doc__r __annotations__intrfloatstrrrrrrr s r c@szeZdZUdZeed<eed<eed<eed<eeefed<e eed<e eed<eed <eed <dd e fd dZ dS)HistogramDataPointrrrrcountsum bucket_countsexplicit_boundsminmaxrrcCrrrrrrrr;rzHistogramDataPoint.to_jsonNr ) r!r"r#r$r r%r&rr'rr(rrrrrr)+s   r)c@s"eZdZUeed<eeed<dS)Bucketsoffsetr,N)r!r"r#r&r%rrrrrr0?s r0c@seZdZUdZeed<eed<eed<eed<eeefed<eed<eed<e ed <e ed <eed <eed <eed <dde fddZ dS)ExponentialHistogramDataPointzSingle data point in a timeseries whose boundaries are defined by an exponential function. This timeseries describes the time-varying scalar value of a metric. rrrr*r+scale zero_countpositivenegativeflagsr.r/rrcCrrrrrrrrYrz%ExponentialHistogramDataPoint.to_jsonNr ) r!r"r#r$r r%r&rr'r0r(rrrrrr2Es r2c@6eZdZUdZeeed<ded<d defddZd S) ExponentialHistogramzRepresents the type of a metric that is calculated by aggregating as an ExponentialHistogram of all reported measurements over a time interval. data_points7opentelemetry.sdk.metrics.export.AggregationTemporalityaggregation_temporalityrrc$tfdd|jD|jddS)Ncg|] }t|jdqSrrr.0 data_pointrrr kz0ExponentialHistogram.to_json..r:r<rrr:r<rrrrrh zExponentialHistogram.to_jsonNr ) r!r"r#r$rr2r%r(rrrrrr9]s  r9c@s>eZdZUdZeeed<ded<eed<d defdd Z d S) SumzyRepresents the type of a scalar metric that is calculated as a sum of all reported measurements over a time interval.r:r;r< is_monotonicrrcs(tfdd|jD|j|jddS)Ncr>r?r@rArrrrDrEzSum.to_json..)r:r<rJr)rr:r<rJrrrrrs z Sum.to_jsonNr ) r!r"r#r$rr r%boolr(rrrrrrIus  rIc@.eZdZUdZeeed<ddefddZdS) GaugezRepresents the type of a scalar metric that always exports the current value for every data point. It should be used for an unknown aggregation.r:rrc tdfdd|jDidS)Nr:cr>r?r@rArrrrDrEz!Gauge.to_json..r)rr:rrrrr z Gauge.to_jsonNr ) r!r"r#r$rr r%r(rrrrrrMs  rMc@r8) HistogramzRepresents the type of a metric that is calculated by aggregating as a histogram of all reported measurements over a time interval.r:r;r<rrcr=)Ncr>r?r@rArrrrDrEz%Histogram.to_json..rFrrGrrrrrrHzHistogram.to_jsonNr ) r!r"r#r$rr)r%r(rrrrrrPs  rPc@sJeZdZUdZeed<eeed<eeed<eed<d defdd Zd S) MetriczMRepresents a metric point in the OpenTelemetry data model to be exported.name descriptionunitdatarrcCs2t|j|jpd|jp dt|jj|dd|dS)Nr)rRrSrTrU)rrRrSrTrrUrrrrrrszMetric.to_jsonNr ) r!r"r#r$r(r%rDataTrrrrrrQs   rQc@>eZdZUdZeed<eeed<eed<d defddZ d S) ScopeMetricsz+A collection of Metrics produced by a scopescopemetrics schema_urlrrc4tt|jjdfdd|jD|jddS)Nrcr>r?r@)rBmetricrrrrDrEz(ScopeMetrics.to_json..)rZr[r\)rrrZrr[r\rrrrr zScopeMetrics.to_jsonNr ) r!r"r#r$r r%rrQr(rrrrrrY  rYc@rX) ResourceMetricsz,A collection of ScopeMetrics from a Resourceresource scope_metricsr\rrcr])Nrcr>r?r@)rBrcrrrrDrEz+ResourceMetrics.to_json..)rbrcr\)rrrbrrcr\rrrrrr_zResourceMetrics.to_jsonNr ) r!r"r#r$r r%rrYr(rrrrrrar`rac@rL) MetricsDatazAn array of ResourceMetricsresource_metricsrrcrN)Nrecr>r?r@)rBrerrrrD rEz'MetricsData.to_json..r)rrerrrrrrOzMetricsData.to_jsonNr ) r!r"r#r$rrar%r(rrrrrrds  rd) dataclassesrrjsonrrtypingrrr#opentelemetry.sdk.metrics._internal opentelemetryopentelemetry.sdk.resourcesr &opentelemetry.sdk.util.instrumentationr opentelemetry.util.typesr r r)r0r2r9rIrMrPrW DataPointTrQrYrardrrrrsF