Add new taiger plugin

sentiment-taiger/README.md

@@ -1,6 +1,9 @@
 # Senpy Plugin Taiger
 
-Service that analyzes sentiments from social posts written in Spanish or English.
+Proxy for two of Taiger's sentiment analysis services for social media posts:
+
+* taiger-plugin: proxy for a service that normalizes the text, and gives both a polarity and a polarity value for the text. It works for Spanish and English text.
+* taiger3c-plugin: it uses a simpler service that only returns a polarity (positive, negative or none). It only works for Spanish.
 
 
 ## Usage
@@ -8,18 +11,19 @@ Service that analyzes sentiments from social posts written in Spanish or English
 To use this plugin, you should use a GET Requests with the following possible params:
 Params:	
 - Input: text to analyse.(required)
-- Endpoint: Enpoint to the Taiger service.
 
 ## Example of Usage
 
 Example request: 
 ```
-http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger&inputText=This%20is%20amazing
+curl http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger&inputText=This%20is%20amazing
+
+#Or, for the taiger3c plugin:
+curl http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger3c&inputText=Me%20encanta
 ```
 
-Example respond: This plugin follows the standard for the senpy plugin response. For more information, please visit [senpy documentation](http://senpy.readthedocs.io). Specifically, NIF API section. 
+This plugin follows the senpy schema and vocabularies, please visit [senpy documentation](http://senpy.readthedocs.io). Specifically, the NIF API section. 
-
+It should look like this:
-For example, this would be the example respond for the request done.
 
 ```
 {
@@ -53,7 +57,8 @@ For example, this would be the example respond for the request done.
 }
 ```
 
-As it can be seen, this plugin analyzes sentiment givin three categories or tags: `marl:Positive`, `marl:Neutral` or `marl:Negative`, that will be held in the `marl:hasPolarity` field. Moreover, the plugin retrieves a `marl:polarityValue`.
+As can be seen, this plugin analyzes sentiment giving three categories or tags: `marl:Positive`, `marl:Neutral` or `marl:Negative`, that will be held in the `marl:hasPolarity` field.
+Moreover, the plugin retrieves a `marl:polarityValue` (a value between -1 and 1).
 This plugin supports **python2.7** and **python3**.
 
 ![alt GSI Logo][logoGSI]

sentiment-taiger/docker-compose.yml

@@ -8,4 +8,4 @@ services:
         volumes:
             - ".:/senpy-plugins"
         environment:
-            TAIGER_ENDPOINT: 'http://34.244.91.7:8080/sentiment/classifyPositivity'
+            TAIGER_ENDPOINT: "${TAIGER_ENDPOINT:-http://somedi-taiger.hopto.org:5406/es_sentiment_analyzer_3classes}"

sentiment-taiger/taiger3c_plugin.py

@@ -0,0 +1,164 @@
+# -*- coding: utf-8 -*-
+
+import time
+import requests
+import json
+import string
+import os
+from os import path
+import time
+from senpy.plugins import SentimentPlugin
+from senpy.models import Results, Entry, Entity, Topic, Sentiment, Error
+
+
+TAIGER_ENDPOINT = os.environ.get("TAIGER3C_ENDPOINT", 'http://somedi-taiger.hopto.org:5406/es_sentiment_analyzer_3classes')
+
+
+class TaigerPlugin3cats(SentimentPlugin):
+    '''
+    Service that analyzes sentiments from social posts written in Spanish or English.
+
+    Example request:
+
+    http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger3c&inputText=This%20is%20amazing
+    '''
+    name = 'sentiment-taiger3c'
+    author = 'GSI UPM'
+    version = "0.1"
+    maxPolarityValue = -1
+    minPolarityValue = 1
+
+    def _polarity(self, value):
+
+        if 'NONE' == value:
+            polarity = 'marl:Neutral'
+            value = 0
+        elif 'N' == value:
+            polarity = 'marl:Negative'
+            value = -1
+        elif 'P' == value:
+            polarity = 'marl:Positive'
+            value = 1
+        else:
+            raise ValueError('unknown polarity: {}'.format(value))
+        print(value, 'whatsup')
+        return polarity, value
+
+    def analyse_entry(self, entry, params):
+
+        txt = entry['nif:isString']
+        api = TAIGER_ENDPOINT
+        parameters = {
+            'text': txt
+        }
+        try:
+            r = requests.get(
+                api, params=parameters, timeout=3)
+            agg_polarity, value = self._polarity(r.text.strip())
+        except requests.exceptions.Timeout:
+            raise Error("No response from the API")
+        except Exception as ex:
+            raise Error("There was a problem with the endpoint: {}".format(ex))
+        if not agg_polarity:
+            raise Error('No category in response: {}'.format(ar.text))
+        self.log.debug(agg_polarity)
+        agg_opinion = Sentiment(
+            id="Opinion0",
+            marl__hasPolarity=agg_polarity,
+            marl__polarityValue=value,
+            )
+        agg_opinion.prov(self)
+        entry.sentiments.append(agg_opinion)
+
+        yield entry
+
+    test_cases = [
+        {
+            'params': {
+                'algo': 'sentiment-taiger',
+                'intype': 'direct',
+                'expanded-jsonld': 0,
+                'informat': 'text',
+                'prefix': '',
+                'plugin_type': 'analysisPlugin',
+                'urischeme': 'RFC5147String',
+                'outformat': 'json-ld',
+                'conversion': 'full',
+                'language': 'en',
+                'apikey': '00000',
+                'algorithm': 'sentiment-taiger'
+            },
+            'input': 'I hate to say this',
+            'expected': {
+                'sentiments': [
+                    {'marl:hasPolarity': 'marl:Negative'}],
+            },
+            'responses': [
+                {
+                    'url': TAIGER_ENDPOINT,
+                    'body': 'N',
+                }
+            ]
+        },
+        {
+            'params': {
+                'algo': 'sentiment-taiger',
+                'intype': 'direct',
+                'expanded-jsonld': 0,
+                'informat': 'text',
+                'prefix': '',
+                'plugin_type': 'analysisPlugin',
+                'urischeme': 'RFC5147String',
+                'outformat': 'json-ld',
+                'conversion': 'full',
+                'language': 'en',
+                'apikey': '00000',
+                'algorithm': 'sentiment-taiger'
+            },
+            'input': 'This is amazing',
+            'expected': {
+                'sentiments': [
+                    {'marl:hasPolarity': 'marl:Positive'}],
+            },
+            'responses': [
+                {
+                    'url': TAIGER_ENDPOINT,
+                    'body': 'P',
+                }
+            ]
+        },
+        {
+            'params': {
+                'algo': 'sentiment-taiger',
+                'intype': 'direct',
+                'expanded-jsonld': 0,
+                'informat': 'text',
+                'prefix': '',
+                'plugin_type': 'analysisPlugin',
+                'urischeme': 'RFC5147String',
+                'outformat': 'json-ld',
+                'conversion': 'full',
+                'language': 'en',
+                'apikey': '00000',
+                'algorithm': 'sentiment-taiger'
+            },
+            'input': 'The pillow is in the wardrobe',
+            'expected': {
+                'sentiments': [
+                    {'marl:hasPolarity': 'marl:Neutral'}],
+            },
+            'responses': [
+                {
+                    'url': TAIGER_ENDPOINT,
+                    'body': 'NONE',
+                }
+            ]
+        }
+
+
+    ]
+
+
+if __name__ == '__main__':
+    from senpy import easy_test
+    easy_test(debug=False)

sentiment-taiger/taiger_plugin.py

@@ -25,8 +25,8 @@ class TaigerPlugin(SentimentPlugin):
     name = 'sentiment-taiger'
     author = 'GSI UPM'
     version = "0.1"
-    maxPolarityValue = 0
+    maxPolarityValue = -1
-    minPolarityValue = -10
+    minPolarityValue = 1
 
     def _polarity(self, value):