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104 lines
3.9 KiB
Python
104 lines
3.9 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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from spacy.kb import KnowledgeBase
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from spacy.lang.en import English
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@pytest.fixture
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def nlp():
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return English()
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def test_kb_valid_entities(nlp):
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"""Test the valid construction of a KB with 3 entities and two aliases"""
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mykb = KnowledgeBase(nlp.vocab, entity_vector_length=1)
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# adding entities
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mykb.add_entity(entity=u'Q1', prob=0.9, entity_vector=[1])
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mykb.add_entity(entity=u'Q2', prob=0.5, entity_vector=[2])
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mykb.add_entity(entity=u'Q3', prob=0.5, entity_vector=[3])
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# adding aliases
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q3'], probabilities=[0.8, 0.2])
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mykb.add_alias(alias=u'adam', entities=[u'Q2'], probabilities=[0.9])
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# test the size of the corresponding KB
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assert(mykb.get_size_entities() == 3)
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assert(mykb.get_size_aliases() == 2)
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def test_kb_invalid_entities(nlp):
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"""Test the invalid construction of a KB with an alias linked to a non-existing entity"""
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mykb = KnowledgeBase(nlp.vocab, entity_vector_length=1)
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# adding entities
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mykb.add_entity(entity=u'Q1', prob=0.9, entity_vector=[1])
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mykb.add_entity(entity=u'Q2', prob=0.2, entity_vector=[2])
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mykb.add_entity(entity=u'Q3', prob=0.5, entity_vector=[3])
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# adding aliases - should fail because one of the given IDs is not valid
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with pytest.raises(ValueError):
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q342'], probabilities=[0.8, 0.2])
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def test_kb_invalid_probabilities(nlp):
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"""Test the invalid construction of a KB with wrong prior probabilities"""
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mykb = KnowledgeBase(nlp.vocab, entity_vector_length=1)
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# adding entities
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mykb.add_entity(entity=u'Q1', prob=0.9, entity_vector=[1])
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mykb.add_entity(entity=u'Q2', prob=0.2, entity_vector=[2])
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mykb.add_entity(entity=u'Q3', prob=0.5, entity_vector=[3])
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# adding aliases - should fail because the sum of the probabilities exceeds 1
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with pytest.raises(ValueError):
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q3'], probabilities=[0.8, 0.4])
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def test_kb_invalid_combination(nlp):
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"""Test the invalid construction of a KB with non-matching entity and probability lists"""
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mykb = KnowledgeBase(nlp.vocab, entity_vector_length=1)
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# adding entities
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mykb.add_entity(entity=u'Q1', prob=0.9, entity_vector=[1])
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mykb.add_entity(entity=u'Q2', prob=0.2, entity_vector=[2])
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mykb.add_entity(entity=u'Q3', prob=0.5, entity_vector=[3])
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# adding aliases - should fail because the entities and probabilities vectors are not of equal length
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with pytest.raises(ValueError):
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q3'], probabilities=[0.3, 0.4, 0.1])
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def test_kb_invalid_entity_vector(nlp):
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"""Test the invalid construction of a KB with non-matching entity vector lengths"""
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mykb = KnowledgeBase(nlp.vocab, entity_vector_length=3)
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# adding entities
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mykb.add_entity(entity=u'Q1', prob=0.9, entity_vector=[1, 2, 3])
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# this should fail because the kb's expected entity vector length is 3
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with pytest.raises(ValueError):
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mykb.add_entity(entity=u'Q2', prob=0.2, entity_vector=[2])
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def test_candidate_generation(nlp):
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"""Test correct candidate generation"""
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mykb = KnowledgeBase(nlp.vocab, entity_vector_length=1)
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# adding entities
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mykb.add_entity(entity=u'Q1', prob=0.9, entity_vector=[1])
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mykb.add_entity(entity=u'Q2', prob=0.2, entity_vector=[2])
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mykb.add_entity(entity=u'Q3', prob=0.5, entity_vector=[3])
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# adding aliases
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mykb.add_alias(alias=u'douglas', entities=[u'Q2', u'Q3'], probabilities=[0.8, 0.2])
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mykb.add_alias(alias=u'adam', entities=[u'Q2'], probabilities=[0.9])
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# test the size of the relevant candidates
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assert(len(mykb.get_candidates(u'douglas')) == 2)
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assert(len(mykb.get_candidates(u'adam')) == 1)
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assert(len(mykb.get_candidates(u'shrubbery')) == 0)
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