mirror of
https://github.com/gsi-upm/senpy
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49 lines
1.4 KiB
Python
49 lines
1.4 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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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
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class DaedalusPlugin(SentimentPlugin):
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def activate(self, *args, **kwargs):
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pass
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def deactivate(self, *args, **kwargs):
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self.close()
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def analyse(self, **params):
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txt = params["input"]
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model = params["model"] # general_es / general_es / general_fr
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api = 'http://api.meaningcloud.com/sentiment-2.1'
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lang = params.get("language")
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#key = os.environ.get('DAEDALUS_KEY')
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key = params["apiKey"]
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parameters = {'key': key,'model': model,'lang': lang,'of': 'json','txt': txt,'src': 'its-not-a-real-python-sdk'}
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r = requests.post(api, params=parameters)
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print(r.text)
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value = r.json().get('score_tag', None)
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#Senpy Response
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response = Results()
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polarity = 'marl:Neutral'
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if 'N' in value:
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polarity = 'marl:Negative'
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elif 'P' in value:
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polarity = 'marl:Positive'
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entry = Entry(id="Entry0",nif_isString=txt)
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opinion = Sentiment(id="Opinion0",marl__hasPolarity=polarity)
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opinion["prov:wasGeneratedBy"] = self.id
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entry.sentiments = []
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entry.sentiments.append(opinion)
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response.entries.append(entry)
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return response
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