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https://github.com/gsi-upm/senpy
synced 2024-12-22 04:58:12 +00:00
Closes #40
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parent
312e7f7f12
commit
8e4578dc25
@ -218,11 +218,16 @@ class BaseModel(SenpyMixin, dict):
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super(BaseModel, self).__init__(temp)
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def _get_key(self, key):
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if key is 'id':
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key = '@id'
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key = key.replace("__", ":", 1)
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return key
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def __getitem__(self, key):
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return dict.__getitem__(self, self._get_key(key))
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def __setitem__(self, key, value):
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dict.__setitem__(self, key, value)
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dict.__setitem__(self, self._get_key(key), value)
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def __delitem__(self, key):
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dict.__delitem__(self, key)
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@ -244,8 +249,6 @@ class BaseModel(SenpyMixin, dict):
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def _plain_dict(self):
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d = {k: v for (k, v) in self.items() if k[0] != "_"}
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if 'id' in d:
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d["@id"] = d.pop('id')
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return d
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@ -14,6 +14,30 @@ from ..api import API_PARAMS
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logger = logging.getLogger(__name__)
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def check_template(indict, template):
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if isinstance(template, dict) and isinstance(indict, dict):
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for k, v in template.items():
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if k not in indict:
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return '{} not in {}'.format(k, indict)
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check_template(indict[k], v)
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elif isinstance(template, list) and isinstance(indict, list):
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if len(indict) != len(template):
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raise models.Error('Different size for {} and {}'.format(indict, template))
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for e in template:
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found = False
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for i in indict:
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try:
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check_template(i, e)
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found = True
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except models.Error as ex:
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continue
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if not found:
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raise models.Error('{} not found in {}'.format(e, indict))
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else:
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if indict != template:
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raise models.Error('{} and {} are different'.format(indict, template))
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class Plugin(models.Plugin):
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def __init__(self, info=None):
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"""
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@ -37,6 +61,15 @@ class Plugin(models.Plugin):
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def deactivate(self):
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pass
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def test(self):
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for case in self.test_cases:
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res = list(self.analyse_entry(models.Entry(case['entry']),
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case['params']))
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exp = case['expected']
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if not isinstance(exp, list):
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exp = [exp]
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check_template(res, exp)
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SenpyPlugin = Plugin
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@ -100,3 +100,54 @@ class CentroidConversion(EmotionConversionPlugin):
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else:
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raise Error('EMOTION MODEL NOT KNOWN')
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yield e
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def test(self, info=None):
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if not info:
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info = {
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"name": "CentroidTest",
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"description": "Centroid test",
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"version": 0,
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"centroids": {
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"c1": {"V1": 0.5,
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"V2": 0.5},
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"c2": {"V1": -0.5,
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"V2": 0.5},
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"c3": {"V1": -0.5,
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"V2": -0.5},
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"c4": {"V1": 0.5,
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"V2": -0.5}},
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"aliases": {
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"V1": "X-dimension",
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"V2": "Y-dimension"
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},
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"centroids_direction": ["emoml:big6", "emoml:fsre-dimensions"]
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}
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c = CentroidConversion(info)
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es1 = EmotionSet()
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e1 = Emotion()
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e1.onyx__hasEmotionCategory = "c1"
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es1.onyx__hasEmotion.append(e1)
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res = c._forward_conversion(es1)
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assert res["X-dimension"] == 0.5
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assert res["Y-dimension"] == 0.5
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e2 = Emotion()
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e2.onyx__hasEmotionCategory = "c2"
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es1.onyx__hasEmotion.append(e2)
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res = c._forward_conversion(es1)
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assert res["X-dimension"] == 0
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assert res["Y-dimension"] == 1
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e = Emotion()
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e["X-dimension"] = -0.2
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e["Y-dimension"] = -0.3
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res = c._backwards_conversion(e)
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assert res["onyx:hasEmotionCategory"] == "c3"
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e = Emotion()
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e["X-dimension"] = -0.2
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e["Y-dimension"] = 0.3
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res = c._backwards_conversion(e)
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assert res["onyx:hasEmotionCategory"] == "c2"
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@ -1,7 +1,7 @@
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import random
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from senpy.plugins import EmotionPlugin
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from senpy.models import EmotionSet, Emotion
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from senpy.models import EmotionSet, Emotion, Entry
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class RmoRandPlugin(EmotionPlugin):
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@ -16,3 +16,11 @@ class RmoRandPlugin(EmotionPlugin):
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emotionSet.prov__wasGeneratedBy = self.id
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entry.emotions.append(emotionSet)
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yield entry
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def test(self):
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params = dict()
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results = list()
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for i in range(100):
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res = next(self.analyse_entry(Entry(text="Hello"), params))
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res.validate()
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results.append(res.emotions[0]['onyx:hasEmotion'][0]['onyx:hasEmotionCategory'])
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@ -1,7 +1,7 @@
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import random
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from senpy.plugins import SentimentPlugin
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from senpy.models import Sentiment
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from senpy.models import Sentiment, Entry
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class RandPlugin(SentimentPlugin):
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@ -22,3 +22,13 @@ class RandPlugin(SentimentPlugin):
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entry.sentiments.append(sentiment)
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entry.language = lang
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yield entry
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def test(self):
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params = dict()
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results = list()
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for i in range(100):
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res = next(self.analyse_entry(Entry(text="Hello"), params))
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res.validate()
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results.append(res.sentiments[0]['marl:hasPolarity'])
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assert 'marl:Positive' in results
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assert 'marl:Negative' in results
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@ -34,3 +34,20 @@ class Sentiment140Plugin(SentimentPlugin):
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entry.sentiments.append(sentiment)
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entry.language = lang
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yield entry
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test_cases = [
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{
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'entry': {
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'text': 'I love Titanic'
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},
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'params': {},
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'expected': {
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"text": "I love Titanic",
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'sentiments': [
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{
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'marl:hasPolarity': 'marl:Positive',
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}
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]
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}
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}
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]
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@ -21,3 +21,6 @@ class AsyncPlugin(AnalysisPlugin):
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values = self._do_async(2)
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entry.async_values = values
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yield entry
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def test(self):
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pass
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@ -6,3 +6,6 @@ class DummyPlugin(SentimentPlugin):
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entry.text = entry.text[::-1]
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entry.reversed = entry.get('reversed', 0) + 1
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yield entry
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def test(self):
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pass
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@ -9,3 +9,6 @@ class SleepPlugin(AnalysisPlugin):
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def analyse_entry(self, entry, params):
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sleep(float(params.get("timeout", self.timeout)))
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yield entry
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def test(self):
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pass
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