def set(self, value, fields=None, target_fields=None):
"""Replaces the distribution with the given fields with another one.
This only makes sense on non-cumulative DistributionMetrics.
Args:
value: A infra_libs.ts_mon.Distribution.
"""
if self._is_cumulative and not self._enable_cumulative_set:
raise TypeError(
'Cannot set() a cumulative DistributionMetric (use add() instead)')
if not isinstance(value, distribution.Distribution):
raise errors.MonitoringInvalidValueTypeError(self._name, value)
self._set(fields, target_fields, value)
def set(self, value, fields=None, target_fields=None):
if not isinstance(value, (float, int)):
raise errors.MonitoringInvalidValueTypeError(self._name, value)
self._set(fields, target_fields, float(value))
def increment_by(self, step, fields=None, target_fields=None):
if not isinstance(step, (int, long)):
raise errors.MonitoringInvalidValueTypeError(self._name, step)
self._incr(fields, target_fields, step)
def set(self, value, fields=None, target_fields=None):
if not isinstance(value, (int, long)):
raise errors.MonitoringInvalidValueTypeError(self._name, value)
self._set(fields, target_fields, value, enforce_ge=True)
def set(self, value, fields=None, target_fields=None):
if not isinstance(value, basestring):
raise errors.MonitoringInvalidValueTypeError(self._name, value)
self._set(fields, target_fields, value)
