monasca-analytics/monasca_analytics/ldp/base.py

67 lines
2.0 KiB
Python

#!/usr/bin/env python
# Copyright (c) 2016 Hewlett Packard Enterprise Development Company, L.P.
#
# 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
import six
from monasca_analytics.component import base
@six.add_metaclass(abc.ABCMeta)
class BaseLDP(base.BaseComponent):
"""Base class for Live Data Processor (LDP), to be extended"""
def __init__(self, _id, _config):
"""Constructor with ID and configuration
:type _id: str
:param _id: ID assigned to this component
:type _config: dict
:param _config: configuration of this component
"""
super(BaseLDP, self).__init__(_id, _config)
self._features = None
self._data = {
"features": None,
"matrix": None
}
@abc.abstractmethod
def map_dstream(self, dstream):
"""Map the dstream input to new values
:type dstream: pyspark.streaming.DStream
:param dstream: DStream created by the source.
"""
pass
def set_voter_output(self, matrix):
"""Assign the features and matrix to the _data object that
:type matrix: numpy.ndarray
:param matrix: the causality matrix learned by the voter.
"""
self._data["features"] = self._features
self._data["matrix"] = matrix
def set_feature_list(self, features):
"""Set the list of features
:type features: list[str]
:param features: list of the features names.
"""
self._features = features