60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
#!/usr/bin/env python
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# Copyright (c) 2016 Hewlett Packard Enterprise Development Company, L.P.
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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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import abc
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import logging
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from monasca_analytics.component import base
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logger = logging.getLogger(__name__)
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class BaseIngestor(base.BaseComponent):
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"""Base class for all the Ingestor modules"""
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def __init__(self, _id, _config):
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"""Constructor with ID and configuration
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:type _id: str
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:param _id: ID assigned to this component
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:type _config: dict
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:param _config: configuration of this component
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"""
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self._features = None
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super(BaseIngestor, self).__init__(_id, _config)
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@abc.abstractmethod
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def map_dstream(self, dstream):
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"""Transforms the data provided by a dstream to another dstream
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Abstract method to be implemented by BaseIngestor children.
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The processed dstream should be returned.
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:type dstream: pyspark.streaming.DStream
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:param dstream: stream of data before being processed
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:rtype: pyspark.streaming.DStream
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:returns: stream of data after being processed
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"""
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pass
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def set_feature_list(self, features):
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"""Set the list of features
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:type features: list[str]
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:param features: List of features names (when extracted from the data)
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"""
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self._features = features
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