9YfaJddlmZddlmZddlmZmZmZGddeeeZy))ApiError) format_points)SearchableAPIResourceSendableAPIResourceListableAPIResourcecveZdZdZdZdZdZdZefdZ e dZ ed fd Z efd Z xZS) Metricz* A wrapper around Metric HTTP API Nqueryseriesmetricsc|j|_ t|}d|i}t t |di|S#t$r t dwxYw)z 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 fromz)Parameter 'from_epoch' must be an integer)_METRIC_LIST_ENDPOINT_resource_nameint ValueErrorrsuperr get_all)cls from_epochsecondsparams __class__s S/var/www/highfloat_scraper/venv/lib/python3.12/site-packages/datadog/api/metrics.pylistz Metric.listsb!66 H*oGg&FVS)3F33 HFG G Hs 6A c6d|vr|jd|d<yy)z 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. metric_typetypeN)pop)metrics r_rename_metric_typezMetric._rename_metric_type)s# F "#ZZ 6F6N #c X|j|_ |r?|D]5}t|ts|j |t |d|d<7d|i}n)|j |t |d|d<|g}d|i}tt|&d||d|S#t $r t dwxYw)a Submit a metric or a list of metrics to the metric API A metric dictionary should consist of 5 keys: metric, points, host, tags, type (some of which optional), see below: :param metric: the name of the time series :type metric: string :param compress_payload: compress the payload using zlib :type compress_payload: bool :param metrics: a list of dictionaries, each item being a metric to send :type metrics: list :param points: a (timestamp, value) pair or list of (timestamp, value) pairs :type points: list :param host: host name that produced the metric :type host: string :param tags: list of tags associated with the metric. :type tags: string list :param type: type of the metric :type type: 'gauge' or 'count' or 'rate' string >>> api.Metric.send(metric='my.series', points=[(now, 15), (future_10s, 16)]) >>> metrics = [{'metric': 'my.series', 'type': 'gauge', 'points': [(now, 15), (future_10s, 16)]}, {'metric': 'my.series2', 'type': 'gauge', 'points': [(now, 15), (future_10s, 16)]}] >>> api.Metric.send(metrics=metrics) :returns: Dictionary representing the API's JSON response pointsr z'points' parameter is required)attach_host_namecompress_payloadr) _METRIC_SUBMIT_ENDPOINTr isinstancedictr"rKeyErrorrr send)rr r&r' single_metricr! metrics_dictrs rr,z Metric.send5sJ!88 =%KF!&$///7+89I+Jx(K!)'2 '' 6*7 h8O*P h'(/ ('2 VS& -@P T`   =;< < =sBABB)c |j|_ |jd|d<|jd|d<tt|&di|S#t$r,}t dj |j dd}~wwxYw) a] Query metrics from Datadog :param start: query start timestamp :type start: POSIX timestamp :param end: query end timestamp :type end: POSIX timestamp :param query: metric query :type query: string query :returns: Dictionary representing the API's JSON response *start* and *end* should be less than 24 hours apart. It is *not* meant to retrieve metric data in bulk. >>> api.Metric.query(start=int(time.time()) - 3600, end=int(time.time()), query='avg:system.cpu.idle{*}') startrendtozThe parameter '{0}' is requiredrNr) _METRIC_QUERY_ENDPOINTrr r+rformatargsrr _search)rrers rr z Metric.queryqs.!77  P#ZZ0F6N!::e,F4LVS)3F33 P<CCAFF1INO O Ps(A B'A??B)NTF)__name__ __module__ __qualname____doc__rr3r(r classmethodr staticmethodr"r,r __classcell__)rs@rr r spN$&%44& 7 79 9 v!4!4r#r N) datadog.api.exceptionsrdatadog.api.formatrdatadog.api.resourcesrrrr rr#rrBs( ,,aaI4 "$79LI4r#