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75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
import spacy
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from spacy.lang.en import English
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from ..util import make_tempdir
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from ...util import ensure_path
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from spacy.kb import KnowledgeBase
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def test_serialize_kb_disk(en_vocab):
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# baseline assertions
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kb1 = _get_dummy_kb(en_vocab)
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_check_kb(kb1)
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# dumping to file & loading back in
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with make_tempdir() as d:
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dir_path = ensure_path(d)
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if not dir_path.exists():
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dir_path.mkdir()
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file_path = dir_path / "kb"
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print(file_path, type(file_path))
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kb1.dump(str(file_path))
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kb2 = KnowledgeBase(vocab=en_vocab, entity_vector_length=3)
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kb2.load_bulk(str(file_path))
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# final assertions
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_check_kb(kb2)
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def _get_dummy_kb(vocab):
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kb = KnowledgeBase(vocab=vocab, entity_vector_length=3)
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kb.add_entity(entity="Q53", prob=0.33, entity_vector=[0, 5, 3])
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kb.add_entity(entity="Q17", prob=0.2, entity_vector=[7, 1, 0])
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kb.add_entity(entity="Q007", prob=0.7, entity_vector=[0, 0, 7])
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kb.add_entity(entity="Q44", prob=0.4, entity_vector=[4, 4, 4])
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kb.add_alias(alias="double07", entities=["Q17", "Q007"], probabilities=[0.1, 0.9])
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kb.add_alias(alias="guy", entities=["Q53", "Q007", "Q17", "Q44"], probabilities=[0.3, 0.3, 0.2, 0.1])
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kb.add_alias(alias="random", entities=["Q007"], probabilities=[1.0])
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return kb
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def _check_kb(kb):
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# check entities
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assert kb.get_size_entities() == 4
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for entity_string in ["Q53", "Q17", "Q007", "Q44"]:
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assert entity_string in kb.get_entity_strings()
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for entity_string in ["", "Q0"]:
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assert entity_string not in kb.get_entity_strings()
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# check aliases
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assert kb.get_size_aliases() == 3
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for alias_string in ["double07", "guy", "random"]:
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assert alias_string in kb.get_alias_strings()
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for alias_string in ["nothingness", "", "randomnoise"]:
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assert alias_string not in kb.get_alias_strings()
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# check candidates & probabilities
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candidates = sorted(kb.get_candidates("double07"), key=lambda x: x.entity_)
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assert len(candidates) == 2
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assert candidates[0].entity_ == "Q007"
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assert 0.6999 < candidates[0].entity_freq < 0.701
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assert candidates[0].entity_vector == [0, 0, 7]
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assert candidates[0].alias_ == "double07"
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assert 0.899 < candidates[0].prior_prob < 0.901
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assert candidates[1].entity_ == "Q17"
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assert 0.199 < candidates[1].entity_freq < 0.201
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assert candidates[1].entity_vector == [7, 1, 0]
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assert candidates[1].alias_ == "double07"
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assert 0.099 < candidates[1].prior_prob < 0.101
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