Addapted plugins to senpy 0.8.2

affect/README.md

@@ -4,7 +4,7 @@ This plugin allows to choose sentiment and emotion plugins to retrieve a respons
 
 You can adjust the parameters of the plugin as follows:
 
-	- Sentiments plugins: EmoTextANEW, EmoTextWAF(only english)
+	- Sentiments plugins: emotion-wnaffect, emotion-anew(only english)
-	- Emotions plugins: sentiText, vaderSentiment,meaningCloud(requires API KEY)
+	- Emotions plugins: sentiment-tass, sentiment-vader,sentiment-meaningCloud(requires API KEY)
 	- Endpoint: the endpoint where the used plugins are. (default: http://senpy.cluster.gsi.dit.upm.es/api/)
 	- Language: english(en) or spanish(es)

affect/affect.py

@@ -14,14 +14,6 @@ logger = logging.getLogger(__name__)
 
 class unifiedPlugin(SentimentPlugin):
 
-    def activate(self, *args, **kwargs):
-        pass
-
-
-    def deactivate(self, *args, **kwargs):
-        self.save()
-     
-    
     def analyse(self, **kwargs):
         params = dict(kwargs)
         txt = params["input"]

affect/affect.senpy

@@ -26,7 +26,6 @@
         "endpoint": {
             "aliases": ["endpoint"],
             "required": true,
-            "options": ["http://senpy.cluster.gsi.dit.upm.es/api/"],
             "default": "http://senpy.cluster.gsi.dit.upm.es/api/"
         },
         "apiKey": {

emotion-wnaffect/emotion-wnaffect.senpy

@@ -4,13 +4,6 @@
     "description": "Emotion classifier using WordNet-Affect to calculate the percentage of each emotion. This plugin classifies among 6 emotions: anger,fear,disgust,joy,sadness or neutral. The only available language is English (en)",
     "author": "@icorcuera @balkian",
     "version": "0.2",
-    "extra_params": {
-        "language": {
-            "aliases": ["language", "l"],
-            "required": true,
-            "default": "en"
-        }
-    },
     "synsets_path": "/data/emotion-wnaffect/a-synsets.xml",
     "hierarchy_path": "/data/emotion-wnaffect/a-hierarchy.xml",
     "wn16_path": "/data/emotion-wnaffect/wordnet1.6/dict",

sentiment-140/sentiment-140.py

@@ -7,7 +7,7 @@ from senpy.models import Results, Sentiment, Entry
 
 class Sentiment140Plugin(SentimentPlugin):
     
-    def analyse(self,entry,params):
+    def analyse_entry(self,entry,params):
         
         lang = params.get("language", "auto")
         res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",

sentiment-140/sentiment-140.senpy

@@ -1,7 +1,7 @@
 {
     "name": "sentiment-140",
     "module": "sentiment-140",
-    "description": "What my plugin broadly does",
+    "description": "Sentiment classifier using rule-based classification for English and Spanish. This plugin uses sentiment140 data to perform classification. For more information: http://help.sentiment140.com/for-students/",
     "author": "@balkian",
     "version": "0.1",
     "extra_params": {

sentiment-basic/sentiment-basic.py

@@ -113,7 +113,7 @@ class SentiTextPlugin(SentimentPlugin):
                             break
 
 
-        lang = params.get("language", "auto")
+        lang = params.get("language", "en")
         p = params.get("prefix", None)
 
         for i in scores:

sentiment-basic/sentiment-basic.senpy

@@ -4,14 +4,6 @@
     "description": "Sentiment classifier using rule-based classification for Spanish. Based on english to spanish translation and SentiWordNet sentiment knowledge. This is a demo plugin that uses only some features from the TASS 2015 classifier. To use the entirely functional classifier you can use the service in: http://senpy.cluster.gsi.dit.upm.es.",
     "author": "github.com/nachtkatze",
     "version": "0.1",
-    "extra_params": {
-        "language": {
-            "aliases": ["language", "l"],
-            "required": true,
-            "options": ["es"],
-            "default": "es"
-        }
-    },
     "requirements": [
         "nltk>=3.0.5",
         "scipy>=0.14.0",

sentiment-meaningCloud/sentiment-meaningCloud.py

@@ -13,11 +13,17 @@ class DaedalusPlugin(SentimentPlugin):
     def analyse_entry(self, entry, params):
 
         txt = entry.get("text",None)
-        model = params["model"] # general_es / general_es / general_fr
+        model = "general" # general_es / general_es / general_fr
         api = 'http://api.meaningcloud.com/sentiment-2.1'
         lang = params.get("language")
         key = params["apiKey"]
-        parameters = {'key': key,'model': model,'lang': lang,'of': 'json','txt': txt,'src': 'its-not-a-real-python-sdk'}
+        parameters = {'key': key,
+                      'model': model,
+                      'lang': lang,
+                      'of': 'json',
+                      'txt': txt,
+                      'src': 'its-not-a-real-python-sdk'
+                      }
         r = requests.post(api, params=parameters)
 
         value = r.json().get('score_tag', None)

sentiment-meaningCloud/sentiment-meaningCloud.senpy

@@ -11,12 +11,6 @@
             "options": ["en","es"],
             "default": "en"
         },
-        "model": {
-            "aliases": ["model"],
-            "required": true,
-            "options": ["general"],
-            "default": "general"
-        },
         "apiKey":{
             "aliases":["meaningCloud-key","apiKey"],
             "required":true