mirror of
https://github.com/explosion/spaCy.git
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200 lines
6.9 KiB
Python
200 lines
6.9 KiB
Python
from pathlib import Path
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from typing import Any, Callable, Dict, Iterable
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import srsly
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from numpy import zeros
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from thinc.api import Config
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from spacy import Errors, util
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from spacy.kb.kb_in_memory import InMemoryLookupKB
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from spacy.util import SimpleFrozenList, ensure_path, load_model_from_config, registry
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from spacy.vocab import Vocab
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from ..util import make_tempdir
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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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kb1.to_disk(str(file_path))
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kb2 = InMemoryLookupKB(vocab=en_vocab, entity_vector_length=3)
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kb2.from_disk(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 = InMemoryLookupKB(vocab, entity_vector_length=3)
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kb.add_entity(entity="Q53", freq=33, entity_vector=[0, 5, 3])
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kb.add_entity(entity="Q17", freq=2, entity_vector=[7, 1, 0])
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kb.add_entity(entity="Q007", freq=7, entity_vector=[0, 0, 7])
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kb.add_entity(entity="Q44", freq=342, 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(
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alias="guy",
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entities=["Q53", "Q007", "Q17", "Q44"],
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probabilities=[0.3, 0.3, 0.2, 0.1],
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)
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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(
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kb._get_alias_candidates("double07"), key=lambda x: x.entity_id_
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)
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assert len(candidates) == 2
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assert candidates[0].entity_id_ == "Q007"
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assert 6.999 < candidates[0].entity_freq < 7.01
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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_id_ == "Q17"
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assert 1.99 < candidates[1].entity_freq < 2.01
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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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def test_serialize_subclassed_kb():
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"""Check that IO of a custom KB works fine as part of an EL pipe."""
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config_string = """
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[nlp]
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lang = "en"
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pipeline = ["entity_linker"]
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[components]
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[components.entity_linker]
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factory = "entity_linker"
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[components.entity_linker.generate_empty_kb]
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@misc = "kb_test.CustomEmptyKB.v1"
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[initialize]
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[initialize.components]
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[initialize.components.entity_linker]
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[initialize.components.entity_linker.kb_loader]
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@misc = "kb_test.CustomKB.v1"
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entity_vector_length = 342
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custom_field = 666
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"""
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class SubInMemoryLookupKB(InMemoryLookupKB):
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def __init__(self, vocab, entity_vector_length, custom_field):
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super().__init__(vocab, entity_vector_length)
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self.custom_field = custom_field
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def to_disk(self, path, exclude: Iterable[str] = SimpleFrozenList()):
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"""We overwrite InMemoryLookupKB.to_disk() to ensure that self.custom_field is stored as well."""
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path = ensure_path(path)
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if not path.exists():
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path.mkdir(parents=True)
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if not path.is_dir():
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raise ValueError(Errors.E928.format(loc=path))
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def serialize_custom_fields(file_path: Path) -> None:
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srsly.write_json(file_path, {"custom_field": self.custom_field})
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serialize = {
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"contents": lambda p: self.write_contents(p),
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"strings.json": lambda p: self.vocab.strings.to_disk(p),
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"custom_fields": lambda p: serialize_custom_fields(p),
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}
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util.to_disk(path, serialize, exclude)
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def from_disk(self, path, exclude: Iterable[str] = SimpleFrozenList()):
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"""We overwrite InMemoryLookupKB.from_disk() to ensure that self.custom_field is loaded as well."""
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path = ensure_path(path)
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if not path.exists():
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raise ValueError(Errors.E929.format(loc=path))
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if not path.is_dir():
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raise ValueError(Errors.E928.format(loc=path))
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def deserialize_custom_fields(file_path: Path) -> None:
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self.custom_field = srsly.read_json(file_path)["custom_field"]
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deserialize: Dict[str, Callable[[Any], Any]] = {
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"contents": lambda p: self.read_contents(p),
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"strings.json": lambda p: self.vocab.strings.from_disk(p),
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"custom_fields": lambda p: deserialize_custom_fields(p),
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}
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util.from_disk(path, deserialize, exclude)
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@registry.misc("kb_test.CustomEmptyKB.v1")
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def empty_custom_kb() -> Callable[[Vocab, int], SubInMemoryLookupKB]:
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def empty_kb_factory(vocab: Vocab, entity_vector_length: int):
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return SubInMemoryLookupKB(
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vocab=vocab,
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entity_vector_length=entity_vector_length,
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custom_field=0,
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)
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return empty_kb_factory
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@registry.misc("kb_test.CustomKB.v1")
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def custom_kb(
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entity_vector_length: int, custom_field: int
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) -> Callable[[Vocab], SubInMemoryLookupKB]:
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def custom_kb_factory(vocab):
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kb = SubInMemoryLookupKB(
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vocab=vocab,
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entity_vector_length=entity_vector_length,
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custom_field=custom_field,
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)
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kb.add_entity("random_entity", 0.0, zeros(entity_vector_length))
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return kb
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return custom_kb_factory
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config = Config().from_str(config_string)
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nlp = load_model_from_config(config, auto_fill=True)
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nlp.initialize()
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entity_linker = nlp.get_pipe("entity_linker")
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assert type(entity_linker.kb) == SubInMemoryLookupKB
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assert entity_linker.kb.entity_vector_length == 342
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assert entity_linker.kb.custom_field == 666
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# Make sure the custom KB is serialized correctly
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with make_tempdir() as tmp_dir:
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nlp.to_disk(tmp_dir)
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nlp2 = util.load_model_from_path(tmp_dir)
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entity_linker2 = nlp2.get_pipe("entity_linker")
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# After IO, the KB is the standard one
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assert type(entity_linker2.kb) == SubInMemoryLookupKB
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assert entity_linker2.kb.entity_vector_length == 342
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assert entity_linker2.kb.custom_field == 666
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