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#!/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)
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