o Á¿iòã@s&ddlmZmZGdd„deeƒZdS)é)ÚGetableAPIResourceÚUpdatableAPIResourcecs8eZdZdZdZe‡fdd„ƒZe‡fdd„ƒZ‡ZS)ÚMetadataz3 A wrapper around Metric Metadata HTTP API Úmetricscs|stdƒ‚tt|ƒ |¡S)zÉ Get metadata information on an existing Datadog metric param metric_name: metric name (ex. system.cpu.idle) :returns: Dictionary representing the API's JSON response ú#'metric_name' parameter is required)ÚKeyErrorÚsuperrÚget)ÚclsÚ metric_name©Ú __class__©úH/home/ubuntu/.local/lib/python3.10/site-packages/datadog/api/metadata.pyr s z Metadata.getc s&|stdƒ‚tt|ƒjdd|i|¤ŽS)aŒ Update metadata fields for an existing Datadog metric. If the metadata does not exist for the metric it is created by the update. :param type: type of metric (ex. "gauge", "rate", etc.) see http://docs.datadoghq.com/metrictypes/ :type type: string :param description: description of the metric :type description: string :param short_name: short name of the metric :type short_name: string :param unit: unit type associated with the metric (ex. "byte", "operation") see http://docs.datadoghq.com/units/ for full list :type unit: string :param per_unit: per unit type (ex. "second" as in "queries per second") see http://docs.datadoghq.com/units/ for full list :type per_unit: string :param statsd_interval: statsd flush interval for metric in seconds (if applicable) :type statsd_interval: integer :returns: Dictionary representing the API's JSON response >>> api.Metadata.update(metric_name='api.requests.served', metric_type="counter") rÚidNr)rrrÚupdate)r r Úparamsr rrrs zMetadata.update) Ú__name__Ú __module__Ú __qualname__Ú__doc__Ú_resource_nameÚ classmethodr rÚ __classcell__rrr rrs rN)Údatadog.api.resourcesrrrrrrrÚs