def _submit_metric(self, mtype, name, value, tags=None, hostname=None, device_name=None, raw=False):
# type: (int, str, float, Sequence[str], str, str, bool) -> None
if value is None:
# ignore metric sample
return
tags = self._normalize_tags_type(tags or [], device_name, name)
if hostname is None:
hostname = ''
if self.metric_limiter:
if mtype in ONE_PER_CONTEXT_METRIC_TYPES:
# Fast path for gauges, rates, monotonic counters, assume one set of tags per call
if self.metric_limiter.is_reached():
return
else:
# Other metric types have a legit use case for several calls per set of tags, track unique sets of tags
context = self._context_uid(mtype, name, tags, hostname)
if self.metric_limiter.is_reached(context):
return
try:
value = float(value)
except ValueError:
err_msg = 'Metric: {} has non float value: {}. Only float values can be submitted as metrics.'.format(
repr(name), repr(value)
)
if using_stub_aggregator:
raise ValueError(err_msg)
self.warning(err_msg)
return
aggregator.submit_metric(self, self.check_id, mtype, self._format_namespace(name, raw), value, tags, hostname)
def _submit_metric(self,
mtype,
name,
value,
tags=None,
hostname=None,
device_name=None):
if value is None:
# ignore metric sample
return
tags = self._normalize_tags(tags, device_name)
if hostname is None:
hostname = b''
if self.metric_limiter:
if mtype in ONE_PER_CONTEXT_METRIC_TYPES:
# Fast path for gauges, rates, monotonic counters, assume one context per call
if self.metric_limiter.is_reached():
return
else:
# Other metric types have a legit use case for several calls per context, track unique contexts
context = self._context_uid(mtype, name, tags, hostname)
if self.metric_limiter.is_reached(context):
return
aggregator.submit_metric(self,
self.check_id, mtype, ensure_bytes(name),
float(value), tags, hostname)
def _submit_metric(self, mtype, name, value, tags=None, hostname=None, device_name=None):
if value is None:
# ignore metric sample
return
tags = self._normalize_tags(tags, device_name)
if hostname is None:
hostname = ""
aggregator.submit_metric(self, self.check_id, mtype, name, float(value), tags, hostname)
def _submit_metric(self, mtype, name, value, tags=None, hostname=None, device_name=None):
if value is None:
# ignore metric sample
return
tags = self._normalize_tags(tags, device_name)
if hostname is None:
hostname = ""
aggregator.submit_metric(self, self.check_id, mtype, name, float(value), tags, hostname)
def _submit_metric(self,
mtype,
name,
value,
tags=None,
hostname=None,
device_name=None):
if value is None:
# ignore metric sample
return
tags = self._normalize_tags(tags, device_name)
if hostname is None:
hostname = b''
if self.metric_limiter:
if mtype in ONE_PER_CONTEXT_METRIC_TYPES:
# Fast path for gauges, rates, monotonic counters, assume one set of tags per call
if self.metric_limiter.is_reached():
return
else:
# Other metric types have a legit use case for several calls per set of tags, track unique sets of tags
context = self._context_uid(mtype, name, tags, hostname)
if self.metric_limiter.is_reached(context):
return
try:
value = float(value)
except ValueError:
err_msg = "Metric: {} has non float value: {}. Only float values can be submitted as metrics".format(
name, value)
if using_stub_aggregator:
raise ValueError(err_msg)
self.warning(err_msg)
return
aggregator.submit_metric(self, self.check_id, mtype,
ensure_bytes(name), value, tags, hostname)
# Unless explicitly stated otherwise all files in this repository are licensed
# under the Apache License Version 2.0.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-present Datadog, Inc.
from __future__ import print_function
import aggregator
import tagger
if __name__ == "__main__":
aggregator.submit_metric(None, 'id', aggregator.GAUGE, 'name', -99.0,
['foo', 'bar'], 'myhost')
print("tags returned by tagger: %s\n" % tagger.get_tags("21", True))