#
# Copyright 2013 Julien Danjou
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from ceilometer import transformer
[docs]class TransformerAccumulator(transformer.TransformerBase):
"""Transformer that accumulates samples until a threshold.
And then flushes them out into the wild.
"""
grouping_keys = ['resource_id']
def __init__(self, size=1, **kwargs):
if size >= 1:
self.samples = []
self.size = size
super(TransformerAccumulator, self).__init__(**kwargs)
[docs] def handle_sample(self, sample):
if self.size >= 1:
self.samples.append(sample)
else:
return sample
[docs] def flush(self):
if len(self.samples) >= self.size:
x = self.samples
self.samples = []
return x
return []