5d850f961c
It turns out the context object is never used by anybody, and is anyway empty. So let's remove its usage completely. Change-Id: I4efeb629dfd84e7cddeb0df908207cf017fc741c
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
#
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# Copyright 2013 Julien Danjou
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from ceilometer import transformer
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class TransformerAccumulator(transformer.TransformerBase):
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"""Transformer that accumulates samples until a threshold.
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And then flushes them out into the wild.
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"""
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grouping_keys = ['resource_id']
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def __init__(self, size=1, **kwargs):
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if size >= 1:
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self.samples = []
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self.size = size
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super(TransformerAccumulator, self).__init__(**kwargs)
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def handle_sample(self, sample):
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if self.size >= 1:
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self.samples.append(sample)
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else:
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return sample
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def flush(self):
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if len(self.samples) >= self.size:
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x = self.samples
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self.samples = []
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return x
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return []
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