| #!/usr/bin/env python |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You 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 codecs |
| from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer |
| |
| def describe(processor): |
| processor.setDescription("Provides a sentiment analysis of the content within the flow file") |
| |
| def onInitialize(processor): |
| processor.setSupportsDynamicProperties() |
| |
| class VaderSentiment(object): |
| def __init__(self): |
| self.content = None |
| |
| def process(self, input_stream): |
| self.content = codecs.getreader('utf-8')(input_stream).read() |
| return len(self.content) |
| |
| def onTrigger(context, session): |
| flow_file = session.get() |
| if flow_file is not None: |
| sentiment = VaderSentiment() |
| session.read(flow_file,sentiment) |
| analyzer = SentimentIntensityAnalyzer() |
| vs = analyzer.polarity_scores(sentiment.content) |
| flow_file.addAttribute("positive",str(vs['pos'])) |
| flow_file.addAttribute("negative",str(vs['neg'])) |
| flow_file.addAttribute("neutral",str(vs['neu'])) |
| session.transfer(flow_file, REL_SUCCESS) |
