mirror of
https://github.com/gsi-upm/senpy
synced 2024-09-20 22:01:41 +00:00
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
import time
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import requests
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import json
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import string
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import os
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import json
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import logging
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from os import path
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import time
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from senpy.plugins import SentimentPlugin, SenpyPlugin
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from senpy.models import Results, Entry, Sentiment, Error
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logger = logging.getLogger(__name__)
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class unifiedPlugin(SentimentPlugin):
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def analyse(self, **kwargs):
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params = dict(kwargs)
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txt = params["input"]
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logger.info('TXT:%s' % txt)
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endpoint = params["endpoint"]
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lang = params.get("language")
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key = params["apiKey"]
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sentiplug = params["sentiments-plugin"]
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s_params = params.copy()
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s_params.update({'algo':sentiplug,'language':lang, 'meaningCloud-key':key})
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senti_response = requests.get(endpoint, params=s_params).json()
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logger.info('SENTIPARAMS: %s' % s_params)
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logger.info('SENTIRESPONSE: %s' % senti_response)
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if 'entries' not in senti_response:
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raise Error(senti_response)
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senti_response = Results(senti_response)
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logger.info('SENTI: %s' % senti_response)
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logger.info(senti_response)
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emoplug = params["emotions-plugin"]
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e_params = params.copy()
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e_params.update({'algo':emoplug,'language':lang})
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emo_response = requests.get(endpoint, params=e_params).json()
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if 'entries' not in emo_response:
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raise Error(emo_response)
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emo_response = Results(emo_response)
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logger.info('EMO: %s' % emo_response)
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logger.info(emo_response)
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#Senpy Response
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response = Results()
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response.analysis = [senti_response.analysis, emo_response.analysis]
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unified = senti_response.entries[0]
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unified["emotions"] = emo_response.entries[0]["emotions"]
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response.entries.append(unified)
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return response
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