4f87a14c7e
We used to have source as a publisher argument, but this anyway ends being included in its Sample itself. So rather than complicating the internal publishing API, simplify it and just include source as a Sample field. Change-Id: Idb9d0c2b5969318dd16394a81d7d61c67f613892
69 lines
2.1 KiB
Python
69 lines
2.1 KiB
Python
# -*- encoding: utf-8 -*-
|
|
#
|
|
# Copyright © 2013 Intel Corp.
|
|
#
|
|
# Author: Yunhong Jiang <yunhong.jiang@intel.com>
|
|
#
|
|
# 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.
|
|
|
|
import abc
|
|
from stevedore import extension
|
|
|
|
|
|
class TransformerExtensionManager(extension.ExtensionManager):
|
|
|
|
def __init__(self, namespace):
|
|
super(TransformerExtensionManager, self).__init__(
|
|
namespace=namespace,
|
|
invoke_on_load=False,
|
|
invoke_args=(),
|
|
invoke_kwds={}
|
|
)
|
|
self.by_name = dict((e.name, e) for e in self.extensions)
|
|
|
|
def get_ext(self, name):
|
|
return self.by_name[name]
|
|
|
|
|
|
class TransformerBase(object):
|
|
"""Base class for plugins that transform the counter."""
|
|
|
|
__metaclass__ = abc.ABCMeta
|
|
|
|
def __init__(self, **kwargs):
|
|
"""Setup transformer.
|
|
|
|
Each time a transformed is involved in a pipeline, a new transformer
|
|
instance is created and chained into the pipeline. i.e. transformer
|
|
instance is per pipeline. This helps if transformer need keep some
|
|
cache and per-pipeline information.
|
|
|
|
:param kwargs: The parameters that are defined in pipeline config file.
|
|
"""
|
|
super(TransformerBase, self).__init__()
|
|
|
|
@abc.abstractmethod
|
|
def handle_sample(self, context, counter):
|
|
"""Transform a counter.
|
|
|
|
:param context: Passed from the data collector.
|
|
:param counter: A counter.
|
|
"""
|
|
|
|
def flush(self, context):
|
|
"""Flush counters cached previously.
|
|
|
|
:param context: Passed from the data collector.
|
|
"""
|
|
return []
|