o Á¿iaã@sDddlmZddlmZddlmZmZmZGdd„deeeƒZdS)é)ÚApiError)Ú format_points)ÚSearchableAPIResourceÚSendableAPIResourceÚListableAPIResourcecsbeZdZdZdZdZdZdZe‡fdd„ƒZ e dd „ƒZ ed‡fd d „ ƒZ e‡fdd„ƒZ ‡ZS)ÚMetricz* A wrapper around Metric HTTP API NÚqueryÚseriesÚmetricscsJ|j|_z t|ƒ}d|i}Wn tytdƒ‚wtt|ƒjdi|¤ŽS)zÍ Get a list of active metrics since a given time (Unix Epoc) :param from_epoch: Start time in Unix Epoc (seconds) :returns: Dictionary containing a list of active metrics Úfromz)Parameter 'from_epoch' must be an integerN©)Ú_METRIC_LIST_ENDPOINTÚ_resource_nameÚintÚ ValueErrorrÚsuperrÚget_all)ÚclsÚ from_epochÚsecondsÚparams©Ú __class__r úG/home/ubuntu/.local/lib/python3.10/site-packages/datadog/api/metrics.pyÚlists   ÿz Metric.listcCsd|vr | d¡|d<dSdS)zû FIXME DROPME in 1.0: API documentation was illegitimately promoting usage of `metric_type` parameter instead of `type`. To be consistent and avoid 'backward incompatibilities', properly rename this parameter. Ú metric_typeÚtypeN)Úpop)Úmetricr r rÚ_rename_metric_type)s ÿzMetric._rename_metric_typeTFc s¤|j|_z4|r#|D]}t|tƒr| |¡t|dƒ|d<q d|i}n| |¡t|dƒ|d<|g}d|i}Wn tyCtdƒ‚wtt|ƒj d||dœ|¤ŽS)a Submit a metric or a list of metrics to the metric API A metric dictionary should consist of 5 keys: metric, points, host, tags, type (some of which optional), see below: :param metric: the name of the time series :type metric: string :param compress_payload: compress the payload using zlib :type compress_payload: bool :param metrics: a list of dictionaries, each item being a metric to send :type metrics: list :param points: a (timestamp, value) pair or list of (timestamp, value) pairs :type points: list :param host: host name that produced the metric :type host: string :param tags: list of tags associated with the metric. :type tags: string list :param type: type of the metric :type type: 'gauge' or 'count' or 'rate' string >>> api.Metric.send(metric='my.series', points=[(now, 15), (future_10s, 16)]) >>> metrics = [{'metric': 'my.series', 'type': 'gauge', 'points': [(now, 15), (future_10s, 16)]}, {'metric': 'my.series2', 'type': 'gauge', 'points': [(now, 15), (future_10s, 16)]}] >>> api.Metric.send(metrics=metrics) :returns: Dictionary representing the API's JSON response Úpointsr z'points' parameter is required)Úattach_host_nameÚcompress_payloadNr ) Ú_METRIC_SUBMIT_ENDPOINTrÚ isinstanceÚdictrrÚKeyErrorrrÚsend)rr r!r"Ú single_metricrÚ metrics_dictrr rr'5s,%  €  € ÿ ÿÿz Metric.sendc sl|j|_z| d¡|d<| d¡|d<Wnty*}z td |jd¡ƒ‚d}~wwtt|ƒj di|¤ŽS) a] Query metrics from Datadog :param start: query start timestamp :type start: POSIX timestamp :param end: query end timestamp :type end: POSIX timestamp :param query: metric query :type query: string query :returns: Dictionary representing the API's JSON response *start* and *end* should be less than 24 hours apart. It is *not* meant to retrieve metric data in bulk. >>> api.Metric.query(start=int(time.time()) - 3600, end=int(time.time()), query='avg:system.cpu.idle{*}') Ústartr ÚendÚtozThe parameter '{0}' is requiredrNr ) Ú_METRIC_QUERY_ENDPOINTrrr&rÚformatÚargsrrÚ_search)rrÚerr rrqs€ÿz Metric.query)NTF)Ú__name__Ú __module__Ú __qualname__Ú__doc__rr-r#r Ú classmethodrÚ staticmethodrr'rÚ __classcell__r r rrr s  ;rN) Údatadog.api.exceptionsrÚdatadog.api.formatrÚdatadog.api.resourcesrrrrr r r rÚs