def compute_value(self):
value = self.aggregation_func(self.values)
timestamp = time.time() - self.aggregation_frequency
datapoint = (timestamp, value)
self.values = []
send_metric(self.metric_path, datapoint)
increment('aggregateDatapointsSent')
def compute_value(self):
value = self.aggregation_func(self.values)
timestamp = time.time() - self.aggregation_frequency
datapoint = (timestamp, value)
self.values = []
send_metric(self.metric_path, datapoint)
increment('aggregateDatapointsSent')
def compute_value(self):
now = int(time.time())
current_interval = now - (now % self.aggregation_frequency)
age_threshold = current_interval - (settings["MAX_AGGREGATION_INTERVALS"] * self.aggregation_frequency)
for buffer in self.interval_buffers.values():
if buffer.active:
value = self.aggregation_func(buffer.values)
datapoint = (buffer.interval, value)
send_metric(self.metric_path, datapoint)
increment("aggregateDatapointsSent")
buffer.mark_inactive()
if buffer.interval < age_threshold:
del self.interval_buffers[buffer.interval]
def process(metric, datapoint):
increment('datapointsReceived')
for rule in RewriteRuleManager.preRules:
metric = rule.apply(metric)
for rule in RuleManager.rules:
aggregate_metric = rule.get_aggregate_metric(metric)
if aggregate_metric is None:
continue
buffer = BufferManager.get_buffer(aggregate_metric)
if not buffer.configured:
buffer.configure_aggregation(rule.frequency, rule.aggregation_func)
buffer.input(datapoint)
for rule in RewriteRuleManager.postRules:
metric = rule.apply(metric)
send_metric(metric, datapoint)
def process(metric, datapoint):
increment('datapointsReceived')
for rule in RewriteRuleManager.preRules:
metric = rule.apply(metric)
for rule in RuleManager.rules:
aggregate_metric = rule.get_aggregate_metric(metric)
if aggregate_metric is None:
continue
buffer = BufferManager.get_buffer(aggregate_metric)
if not buffer.configured:
buffer.configure_aggregation(rule.frequency, rule.aggregation_func)
buffer.input(datapoint)
for rule in RewriteRuleManager.postRules:
metric = rule.apply(metric)
send_metric(metric, datapoint)
def aggregator_record(metric, value):
fullMetric = 'carbon.aggregator.%s.%s' % (HOSTNAME, metric)
datapoint = (time.time(), value)
send_metric(fullMetric, datapoint)
def aggregator_record(metric, value): fullMetric = 'carbon.aggregator.%s.%s' % (HOSTNAME, metric) datapoint = (time.time(), value) send_metric(fullMetric, datapoint)