Add aggregate sentiment. This closes senpy/senpy-plugins-community#10

sentiment-meaningCloud/sentiment-meaningCloud.py

@@ -1,4 +1,5 @@
 import time
+import logging
 import requests
 import json
 import string
@@ -8,7 +9,22 @@ import time
 from senpy.plugins import SentimentPlugin, SenpyPlugin
 from senpy.models import Results, Entry, Sentiment,Error
 
+logger = logging.getLogger(__name__)
+
 class DaedalusPlugin(SentimentPlugin):
+    
+
+    def _polarity(self, value):
+
+        polarityValue = 0
+        polarity = 'marl:Neutral'
+        if 'N' in value:
+            polarity = 'marl:Negative'
+            polarityValue = -1
+        elif 'P' in value:
+            polarity = 'marl:Positive'
+            polarityValue = 1
+        return polarity, polarityValue
 
     def analyse_entry(self, entry, params):
 
@@ -28,22 +44,32 @@ class DaedalusPlugin(SentimentPlugin):
             r = requests.post(api, params=parameters, timeout=3)
         except requests.exceptions.Timeout:
             raise Error("Meaning Cloud API does not response")
-        value = r.json().get('score_tag', None)
-        if not value:
+        api_response = r.json()
+        if not api_response.get('score_tag'):
             raise Error(r.json())
 
-        #Senpy Response
         response = Results()
-        polarityValue = 0
-        polarity = 'marl:Neutral'
-        if 'N' in value:
-            polarity = 'marl:Negative'
-            polarityValue = -1
-        elif 'P' in value:
-            polarity = 'marl:Positive'
-            polarityValue = 1
-
-        opinion = Sentiment(id="Opinion0",marl__hasPolarity=polarity,marl__polarityValue = polarityValue)
-        entry.sentiments.append(opinion)
+        agg_polarity, agg_polarityValue = self._polarity(api_response.get('score_tag', None))
+        agg_opinion = Sentiment(id="Opinion0",
+                                marl__hasPolarity=agg_polarity,
+                                marl__polarityValue = agg_polarityValue, 
+                                marl__opinionCount = len(api_response['sentence_list']))
+        entry.sentiments.append(agg_opinion)
+        logger.info(api_response['sentence_list'])
+        count = 1
+        for sentence in api_response['sentence_list']:
+            for nopinion in sentence['segment_list']:        
+                logger.info(nopinion)
+                polarity, polarityValue = self._polarity(nopinion.get('score_tag', None))
+                opinion = Sentiment(id="Opinion{}".format(count), 
+                                    marl__hasPolarity=polarity, 
+                                    marl__polarityValue=polarityValue,
+                                    marl__aggregatesOpinion=agg_opinion.get('id'),
+                                    nif__anchorOf=nopinion.get('text', None),
+                                    nif__beginIndex=nopinion.get('inip', None),
+                                    nif__endIndex=nopinion.get('endp', None)
+                                    )
 
-        yield entry
+                count += 1
+                entry.sentiments.append(opinion)
+        yield entry