| #!/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. |
| """ |
| Install the following with pip ( or pip3 ) |
| |
| pip install google-cloud-language |
| |
| -- the following were needed during development as we saw SSL timeout errors |
| pip install requests[security] |
| pip install -U httplib2 |
| """ |
| import json |
| import sys |
| import codecs |
| from google.cloud import language |
| from google.cloud.language import enums |
| from google.cloud.language import types |
| |
| def describe(processor): |
| processor.setDescription("Performs a sentiment Analysis of incoming flowfile content using Google Cloud.") |
| |
| def onInitialize(processor): |
| # is required, |
| processor.addProperty("Credentials Path","Path to your Google Credentials JSON File. Must exist on agent hosts.","", True, False) |
| |
| class ContentExtract(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: |
| credentials_filename = context.getProperty("Credentials Path") |
| sentiment = ContentExtract() |
| session.read(flow_file,sentiment) |
| client = language.LanguageServiceClient.from_service_account_json(credentials_filename) |
| document = types.Document(content=sentiment.content,type=enums.Document.Type.PLAIN_TEXT) |
| |
| annotations = client.analyze_sentiment(document=document, retry = None,timeout=1.0 ) |
| score = annotations.document_sentiment.score |
| magnitude = annotations.document_sentiment.magnitude |
| |
| flow_file.addAttribute("score",str(score)) |
| flow_file.addAttribute("magnitude",str(magnitude)) |
| session.transfer(flow_file, REL_SUCCESS) |
| |