Fixed bugs in Ekman2VAD

senpy/extensions.py

@@ -13,6 +13,7 @@ from .api import API_PARAMS, NIF_PARAMS, parse_params
 from threading import Thread
 
 import os
+import copy
 import fnmatch
 import inspect
 import sys
@@ -180,7 +181,7 @@ class Senpy(object):
         newentries = []
         for i in resp.entries:
             if output == "full":
-                newemotions = i.emotions.copy()
+                newemotions = copy.copy(i.emotions)
             else:
                 newemotions = []
             for j in i.emotions:

senpy/plugins/conversion/emotion/ekman2vad.py

@@ -10,24 +10,26 @@ import math
 class WNA2VAD(EmotionConversionPlugin):
 
     def _ekman_to_vad(self, ekmanSet):
-        potency = 0
+        """Sum the VAD value of all categories found."""
+        valence = 0
         arousal = 0
         dominance = 0
         for e in ekmanSet.onyx__hasEmotion:
             category = e.onyx__hasEmotionCategory
             centroid = self.centroids[category]
-            potency += centroid['V']
+            valence += centroid['V']
             arousal += centroid['A']
             dominance += centroid['D']
-        e = Emotion({'emoml:potency': potency,
+        e = Emotion({'emoml:valence': valence,
                      'emoml:arousal': arousal,
-                     'emoml:dominance': dominance})
+                     'emoml:potency': dominance})
         return e
 
     def _vad_to_ekman(self, VADEmotion):
+        """Find the closest category"""
         V = VADEmotion['emoml:valence']
-        A = VADEmotion['emoml:potency']
+        A = VADEmotion['emoml:arousal']
-        D = VADEmotion['emoml:dominance']
+        D = VADEmotion['emoml:potency']
         emotion = ''
         value = 10000000000000000000000.0
         for state in self.centroids:
@@ -50,7 +52,7 @@ class WNA2VAD(EmotionConversionPlugin):
             e.onyx__hasEmotion.append(self._ekman_to_vad(emotionSet))
         elif fromModel == 'emoml:fsre-dimensions':
             for i in emotionSet.onyx__hasEmotion:
-                e.onyx__hasEmotion.append(self._vad_to_ekman(e))
+                e.onyx__hasEmotion.append(self._vad_to_ekman(i))
         else:
             raise Error('EMOTION MODEL NOT KNOWN')
         yield e

senpy/plugins/conversion/emotion/ekman2vad.senpy

@@ -7,7 +7,7 @@ onyx:doesConversion:
   - onyx:conversionFrom: emoml:big6
     onyx:conversionTo: emoml:fsre-dimensions
   - onyx:conversionFrom: emoml:fsre-dimensions
-    onyx:conversionTo: wna:WNAModel
+    onyx:conversionTo: emoml:big6
 centroids:
   emoml:big6anger:
     A: 6.95
@@ -31,5 +31,5 @@ centroids:
     V: 2.21
 aliases:
   A: emoml:arousal
-  V: emoml:potency
+  V: emoml:valence
   D: emoml:dominance

setup.cfg

@@ -10,3 +10,5 @@ ignore = E402
 max-line-length = 100
 [bdist_wheel]
 universal=1
+[tool:pytest]
+addopts = --cov=senpy --cov-report term-missing

tests/test_extensions.py

@@ -1,5 +1,6 @@
 from __future__ import print_function
 import os
+from copy import deepcopy
 import logging
 
 try:
@@ -9,7 +10,7 @@ except ImportError:
 
 from functools import partial
 from senpy.extensions import Senpy
-from senpy.models import Error
+from senpy.models import Error, Results, Entry, EmotionSet, Emotion
 from flask import Flask
 from unittest import TestCase
 
@@ -52,6 +53,7 @@ class ExtensionsTest(TestCase):
         assert module
         import noop
         dir(noop)
+        self.senpy.install_deps()
 
     def test_installing(self):
         """ Enabling a plugin """
@@ -120,3 +122,42 @@ class ExtensionsTest(TestCase):
     def test_load_default_plugins(self):
         senpy = Senpy(plugin_folder=self.dir, default_plugins=True)
         assert len(senpy.plugins) > 1
+
+    def test_convert_emotions(self):
+        self.senpy.activate_all()
+        plugin = {
+            'id': 'imaginary',
+            'onyx:usesEmotionModel': 'emoml:fsre-dimensions'
+        }
+        eSet1 = EmotionSet()
+        eSet1['onyx:hasEmotion'].append(Emotion({
+            'emoml:arousal': 1,
+            'emoml:potency': 0,
+            'emoml:valence': 0
+        }))
+        response = Results({
+            'entries': [Entry({
+                'text': 'much ado about nothing',
+                'emotions': [eSet1]
+            })]
+        })
+        params = {'emotionModel': 'emoml:big6',
+                  'conversion': 'full'}
+        r1 = deepcopy(response)
+        self.senpy.convert_emotions(r1,
+                                    plugin,
+                                    params)
+        assert len(r1.entries[0].emotions) == 2
+        params['conversion'] = 'nested'
+        r2 = deepcopy(response)
+        self.senpy.convert_emotions(r2,
+                                    plugin,
+                                    params)
+        assert len(r2.entries[0].emotions) == 1
+        assert r2.entries[0].emotions[0]['prov:wasDerivedFrom'] == eSet1
+        params['conversion'] = 'filtered'
+        r3 = deepcopy(response)
+        self.senpy.convert_emotions(r3,
+                                    plugin,
+                                    params)
+        assert len(r3.entries[0].emotions) == 1

tests/test_models.py

@@ -143,7 +143,3 @@ class ModelsTest(TestCase):
         print(t)
         g = rdflib.Graph().parse(data=t, format='turtle')
         assert len(g) == len(triples)
-
-    def test_convert_emotions(self):
-        """It should be possible to convert between different emotion models"""
-        pass