spaCy/spacy/tests/pipeline/test_entity_linker.py

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