mirror of
https://github.com/gsi-upm/senpy
synced 2024-09-20 22:01:41 +00:00
48 lines
1.4 KiB
Python
48 lines
1.4 KiB
Python
|
import time
|
||
|
|
import requests
|
||
|
|
import json
|
||
|
|
import string
|
||
|
|
import os
|
||
|
|
import json
|
||
|
|
import logging
|
||
|
|
from os import path
|
||
|
|
import time
|
||
|
|
from senpy.plugins import SentimentPlugin, SenpyPlugin
|
||
|
|
from senpy.models import Results, Entry, Sentiment
|
||
|
|
|
||
|
|
logger = logging.getLogger(__name__)
|
||
|
|
|
||
|
|
class unifiedPlugin(SentimentPlugin):
|
||
|
|
|
||
|
|
def activate(self, *args, **kwargs):
|
||
|
|
pass
|
||
|
|
|
||
|
|
|
||
|
|
def deactivate(self, *args, **kwargs):
|
||
|
|
self.close()
|
||
|
|
|
||
|
|
|
||
|
|
def analyse(self, **params):
|
||
|
|
|
||
|
|
txt = params["input"]
|
||
|
|
endpoint = params["endpoint"]
|
||
|
|
lang = params.get("language")
|
||
|
|
|
||
|
|
if params["emotions-plugin"] == 'EmoTextWAF':
|
||
|
|
lang = 'en'
|
||
|
|
sentiplug = params["sentiments-plugin"]
|
||
|
|
s_params = {'algo':sentiplug,'language':lang,'i':txt.encode('utf-8')}
|
||
|
|
senti_response = Results(requests.get(endpoint, params=s_params).json())
|
||
|
|
emoplug = params["emotions-plugin"]
|
||
|
|
e_params = {'algo':emoplug,'language':lang,'i':txt.encode('utf-8')}
|
||
|
|
emo_response = Results(requests.get(endpoint, params=e_params).json())
|
||
|
|
|
||
|
|
|
||
|
|
#Senpy Response
|
||
|
|
response = Results()
|
||
|
|
response.analysis = [senti_response.analysis, emo_response.analysis]
|
||
|
|
unified = senti_response.entries[0]
|
||
|
|
unified["emotions"] = emo_response.entries[0]["emotions"]
|
||
|
|
response.entries.append(unified)
|
||
|
|
|
||
|
|
return response
|