tifddlmZddlmZddlmZmZmZmZddlm Z ddl m Z m Z m Z mZmZddlmZmZmZeeZdee defd ZGd d Zd S) )fnmatch) getLogger)CallableOptionalSetType) Instrument) AggregationDefaultAggregation _Aggregation#_ExplicitBucketHistogramAggregation&_ExponentialBucketHistogramAggregation)'AlignedHistogramBucketExemplarReservoirExemplarReservoirBuilder SimpleFixedSizeExemplarReservoiraggregation_typereturnct|trtSt|trtStS)z*Default reservoir factory per aggregation.) issubclassr rrr)rs [/var/www/icac/venv/lib/python3.11/site-packages/opentelemetry/sdk/metrics/_internal/view.py_default_reservoir_factoryr%s>"$GHH766"$JKK0// ++c<eZdZdZeZ ddeeedee dee dee dee dee d ee d ee e d ee d ee ee gefd ee fdZdedefdZdS)Viewa A `View` configuration parameters can be used for the following purposes: 1. Match instruments: When an instrument matches a view, measurements received by that instrument will be processed. 2. Customize metric streams: A metric stream is identified by a match between a view and an instrument and a set of attributes. The metric stream can be customized by certain attributes of the corresponding view. The attributes documented next serve one of the previous two purposes. Args: instrument_type: This is an instrument matching attribute: the class the instrument must be to match the view. instrument_name: This is an instrument matching attribute: the name the instrument must have to match the view. Wild card characters are supported. Wild card characters should not be used with this attribute if the view has also a ``name`` defined. meter_name: This is an instrument matching attribute: the name the instrument meter must have to match the view. meter_version: This is an instrument matching attribute: the version the instrument meter must have to match the view. meter_schema_url: This is an instrument matching attribute: the schema URL the instrument meter must have to match the view. name: This is a metric stream customizing attribute: the name of the metric stream. If `None`, the name of the instrument will be used. description: This is a metric stream customizing attribute: the description of the metric stream. If `None`, the description of the instrument will be used. attribute_keys: This is a metric stream customizing attribute: this is a set of attribute keys. If not `None` then only the measurement attributes that are in ``attribute_keys`` will be used to identify the metric stream. aggregation: This is a metric stream customizing attribute: the aggregation instance to use when data is aggregated for the corresponding metrics stream. If `None` an instance of `DefaultAggregation` will be used. exemplar_reservoir_factory: This is a metric stream customizing attribute: the exemplar reservoir factory instrument_unit: This is an instrument matching attribute: the unit the instrument must have to match the view. This class is not intended to be subclassed by the user. Ninstrument_typeinstrument_name meter_name meter_versionmeter_schema_urlname descriptionattribute_keys aggregationexemplar_reservoir_factoryinstrument_unitc \||cxur| cxur|cxur |cxur|cxur nntd|||d|vsd|vrtd|d||_||_||_| |_||_||_||_||_||_ | p|j |_ | pt|_ dS)Nz=Some instrument selection criteria must be provided for View *?zView z5 declared with wildcard characters in instrument_name) Exception_name_instrument_type_instrument_name_instrument_unit _meter_name_meter_version_meter_schema_url _description_attribute_keys_default_aggregation _aggregationr_exemplar_reservoir_factory) selfrrrrrr r!r"r#r$r%s r__init__z View.__init__js|"                              =6:==   +''3/+A+A0000  / / /%+!1'-'D4+D & D*D (((r instrumentrc|jt||jsdS|jt|j|jsdS|jt|j|jsdS|j|jj|jkrdS|j |jj |j krdS|j |jj |j krdSdS)NFT) r+ isinstancer,rr r-unitr.instrumentation_scoper/versionr0 schema_url)r6r8s r_matchz View._matchs  ,j$*?@@ u  ,:?D,ABB u  ,:?D,ABB u   '/48HHHu   */74;NNNu  ! -0;)**utr) NNNNNNNNNNN)__name__ __module__ __qualname____doc__r r3rrr strrr rr rr7boolr?rrrr0sL55n.-//7;)-$('+*."%)-1-1 )-9 9 !$z"239 "#9 SM 9  } 9 #3- 9 sm9 c]9 !S*9 k*9 %- d<()+CC D% 9 "#9 9 9 9 zrrN)rloggingrtypingrrrropentelemetry.metricsr /opentelemetry.sdk.metrics._internal.aggregationr r r r r,opentelemetry.sdk.metrics._internal.exemplarrrrr@_loggerrrrFrrrMsO 000000000000,,,,,, )H  ,<(,,,,,SSSSSSSSSSr