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senpy/tests/test_plugins.py

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#!/bin/env python
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import os
import pickle
import shutil
import tempfile
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from unittest import TestCase
from senpy.models import Results, Entry, EmotionSet, Emotion, Plugins
from senpy import plugins
from senpy.plugins.conversion.emotion.centroids import CentroidConversion
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class ShelfDummyPlugin(plugins.SentimentPlugin, plugins.ShelfMixin):
'''Dummy plugin for tests.'''
name = 'Shelf'
version = 0
author = 'the senpy community'
def activate(self, *args, **kwargs):
if 'counter' not in self.sh:
self.sh['counter'] = 0
self.save()
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def deactivate(self, *args, **kwargs):
self.save()
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def analyse(self, *args, **kwargs):
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self.sh['counter'] = self.sh['counter'] + 1
e = Entry()
e.nif__isString = self.sh['counter']
r = Results()
r.entries.append(e)
return r
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class PluginsTest(TestCase):
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def tearDown(self):
if os.path.exists(self.shelf_dir):
shutil.rmtree(self.shelf_dir)
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if os.path.isfile(self.shelf_file):
os.remove(self.shelf_file)
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def setUp(self):
self.shelf_dir = tempfile.mkdtemp()
self.shelf_file = os.path.join(self.shelf_dir, "shelf")
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def test_serialize(self):
'''A plugin should be serializable and de-serializable'''
dummy = ShelfDummyPlugin()
dummy.serialize()
def test_jsonld(self):
'''A plugin should be serializable and de-serializable'''
dummy = ShelfDummyPlugin()
dummy.jsonld()
def test_shelf_file(self):
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a = ShelfDummyPlugin(
info={'name': 'default_shelve_file',
'description': 'Dummy plugin for tests',
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'version': 'test'})
a.activate()
assert os.path.isfile(a.shelf_file)
os.remove(a.shelf_file)
def test_plugin_filter(self):
ps = Plugins()
for i in (plugins.SentimentPlugin,
plugins.EmotionPlugin,
plugins.AnalysisPlugin):
p = i(name='Plugin_{}'.format(i.__name__),
description='TEST',
version=0,
author='NOBODY')
ps.plugins.append(p)
assert len(ps.plugins) == 3
cases = [('AnalysisPlugin', 3),
('SentimentPlugin', 1),
('EmotionPlugin', 1)]
for name, num in cases:
res = list(plugins.pfilter(ps.plugins, plugin_type=name))
assert len(res) == num
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def test_shelf(self):
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''' A shelf is created and the value is stored '''
newfile = self.shelf_file + "new"
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a = ShelfDummyPlugin(info={
'name': 'shelve',
'description': 'Shelf plugin for tests',
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'version': 'test',
'shelf_file': newfile
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})
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assert a.sh == {}
a.activate()
assert a.sh == {'counter': 0}
assert a.shelf_file == newfile
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a.sh['a'] = 'fromA'
assert a.sh['a'] == 'fromA'
a.save()
sh = pickle.load(open(newfile, 'rb'))
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assert sh['a'] == 'fromA'
def test_dummy_shelf(self):
with open(self.shelf_file, 'wb') as f:
pickle.dump({'counter': 99}, f)
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a = ShelfDummyPlugin(info={
'name': 'DummyShelf',
'description': 'Dummy plugin for tests',
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'shelf_file': self.shelf_file,
'version': 'test'
})
a.activate()
assert a.shelf_file == self.shelf_file
res1 = a.analyse(input=1)
assert res1.entries[0].nif__isString == 100
a.deactivate()
del a
with open(self.shelf_file, 'rb') as f:
sh = pickle.load(f)
assert sh['counter'] == 100
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def test_corrupt_shelf(self):
''' Reusing the values of a previous shelf '''
emptyfile = os.path.join(self.shelf_dir, "emptyfile")
invalidfile = os.path.join(self.shelf_dir, "invalid_file")
with open(emptyfile, 'w+b'), open(invalidfile, 'w+b') as inf:
inf.write(b'ohno')
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files = {emptyfile: ['empty file', (EOFError, IndexError)],
invalidfile: ['invalid file', (pickle.UnpicklingError, IndexError)]}
for fn in files:
with open(fn, 'rb') as f:
msg, error = files[fn]
a = ShelfDummyPlugin(info={
'name': 'test_corrupt_shelf_{}'.format(msg),
'description': 'Dummy plugin for tests',
'version': 'test',
'shelf_file': f.name
})
assert os.path.isfile(a.shelf_file)
print('Shelf file: %s' % a.shelf_file)
with self.assertRaises(error):
a.sh['a'] = 'fromA'
a.save()
del a._sh
assert os.path.isfile(a.shelf_file)
a.force_shelf = True
a.sh['a'] = 'fromA'
a.save()
b = pickle.load(f)
assert b['a'] == 'fromA'
def test_reuse_shelf(self):
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''' Reusing the values of a previous shelf '''
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a = ShelfDummyPlugin(info={
'name': 'shelve',
'description': 'Dummy plugin for tests',
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'version': 'test',
'shelf_file': self.shelf_file
})
a.activate()
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print('Shelf file: %s' % a.shelf_file)
a.sh['a'] = 'fromA'
a.save()
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b = ShelfDummyPlugin(info={
'name': 'shelve',
'description': 'Dummy plugin for tests',
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'version': 'test',
'shelf_file': self.shelf_file
})
b.activate()
assert b.sh['a'] == 'fromA'
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b.sh['a'] = 'fromB'
assert b.sh['a'] == 'fromB'
def test_extra_params(self):
''' Should be able to set extra parameters'''
a = ShelfDummyPlugin(info={
'name': 'shelve',
'description': 'Dummy shelf plugin for tests',
'version': 'test',
'shelf_file': self.shelf_file,
'extra_params': {
'example': {
'aliases': ['example', 'ex'],
'required': True,
'default': 'nonsense'
}
}
})
assert 'example' in a.extra_params
def test_box(self):
class MyBox(plugins.Box):
''' Vague description'''
author = 'me'
version = 0
def input(self, entry, **kwargs):
return entry.text
def predict(self, input):
return 'SIGN' in input
def output(self, output, entry, **kwargs):
if output:
entry.myAnnotation = 'DETECTED'
return entry
test_cases = [
{
'input': "nothing here",
'expected': {'myAnnotation': 'DETECTED'},
'should_fail': True
}, {
'input': "SIGN",
'expected': {'myAnnotation': 'DETECTED'}
}]
MyBox().test()
def test_sentimentbox(self):
class SentimentBox(plugins.MappingMixin, plugins.SentimentBox):
''' Vague description'''
author = 'me'
version = 0
mappings = {'happy': 'marl:Positive', 'sad': 'marl:Negative'}
def predict(self, input, **kwargs):
return 'happy' if ':)' in input else 'sad'
test_cases = [
{
'input': 'a happy face :)',
'polarity': 'marl:Positive'
}, {
'input': "Nothing",
'polarity': 'marl:Negative'
}]
SentimentBox().test()
def test_conversion_centroids(self):
info = {
"name": "CentroidTest",
"description": "Centroid test",
"version": 0,
"centroids": {
"c1": {"V1": 0.5,
"V2": 0.5},
"c2": {"V1": -0.5,
"V2": 0.5},
"c3": {"V1": -0.5,
"V2": -0.5},
"c4": {"V1": 0.5,
"V2": -0.5}},
"aliases": {
"V1": "X-dimension",
"V2": "Y-dimension"
},
"centroids_direction": ["emoml:big6", "emoml:fsre-dimensions"]
}
c = CentroidConversion(info)
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print(c.serialize())
es1 = EmotionSet()
e1 = Emotion()
e1.onyx__hasEmotionCategory = "c1"
es1.onyx__hasEmotion.append(e1)
res = c._forward_conversion(es1)
assert res["X-dimension"] == 0.5
assert res["Y-dimension"] == 0.5
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print(res)
e2 = Emotion()
e2.onyx__hasEmotionCategory = "c2"
es1.onyx__hasEmotion.append(e2)
res = c._forward_conversion(es1)
assert res["X-dimension"] == 0
assert res["Y-dimension"] == 1
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print(res)
e = Emotion()
e["X-dimension"] = -0.2
e["Y-dimension"] = -0.3
res = c._backwards_conversion(e)
assert res["onyx:hasEmotionCategory"] == "c3"
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print(res)
e = Emotion()
e["X-dimension"] = -0.2
e["Y-dimension"] = 0.3
res = c._backwards_conversion(e)
assert res["onyx:hasEmotionCategory"] == "c2"
def make_mini_test(fpath):
def mini_test(self):
for plugin in plugins.from_path(fpath, install=True):
plugin.test()
return mini_test
def _add_tests():
root = os.path.join(os.path.dirname(__file__), '..')
print(root)
for fpath in plugins.find_plugins([root, ]):
pass
t_method = make_mini_test(fpath)
t_method.__name__ = 'test_plugin_{}'.format(fpath)
setattr(PluginsTest, t_method.__name__, t_method)
del t_method
_add_tests()