spaCy/spacy/tests/serialize/test_serialize_kb.py

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from pathlib import Path
from typing import Any, Callable, Dict, Iterable
import srsly
from numpy import zeros
from thinc.api import Config
from spacy import Errors, util
Refactor KB for easier customization (#11268) * Add implementation of batching + backwards compatibility fixes. Tests indicate issue with batch disambiguation for custom singular entity lookups. * Fix tests. Add distinction w.r.t. batch size. * Remove redundant and add new comments. * Adjust comments. Fix variable naming in EL prediction. * Fix mypy errors. * Remove KB entity type config option. Change return types of candidate retrieval functions to Iterable from Iterator. Fix various other issues. * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Add error messages to NotImplementedErrors. Remove redundant comment. * Fix imports. * Remove redundant comments. * Rename KnowledgeBase to InMemoryLookupKB and BaseKnowledgeBase to KnowledgeBase. * Fix tests. * Update spacy/errors.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Move KB into subdirectory. * Adjust imports after KB move to dedicated subdirectory. * Fix config imports. * Move Candidate + retrieval functions to separate module. Fix other, small issues. * Fix docstrings and error message w.r.t. class names. Fix typing for candidate retrieval functions. * Update spacy/kb/kb_in_memory.pyx Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Update spacy/ml/models/entity_linker.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Fix typing. * Change typing of mentions to be Span instead of Union[Span, str]. * Update docs. * Update EntityLinker and _architecture docs. * Update website/docs/api/entitylinker.md Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Adjust message for E1046. * Re-add section for Candidate in kb.md, add reference to dedicated page. * Update docs and docstrings. * Re-add section + reference for KnowledgeBase.get_alias_candidates() in docs. * Update spacy/kb/candidate.pyx * Update spacy/kb/kb_in_memory.pyx * Update spacy/pipeline/legacy/entity_linker.py * Remove canididate.md. Remove mistakenly added config snippet in entity_linker.py. Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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from spacy.kb.kb_in_memory import InMemoryLookupKB
from spacy.util import SimpleFrozenList, ensure_path, load_model_from_config, registry
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):
# baseline assertions
kb1 = _get_dummy_kb(en_vocab)
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_check_kb(kb1)
# dumping to file & loading back in
with make_tempdir() as d:
dir_path = ensure_path(d)
if not dir_path.exists():
dir_path.mkdir()
file_path = dir_path / "kb"
kb1.to_disk(str(file_path))
Refactor KB for easier customization (#11268) * Add implementation of batching + backwards compatibility fixes. Tests indicate issue with batch disambiguation for custom singular entity lookups. * Fix tests. Add distinction w.r.t. batch size. * Remove redundant and add new comments. * Adjust comments. Fix variable naming in EL prediction. * Fix mypy errors. * Remove KB entity type config option. Change return types of candidate retrieval functions to Iterable from Iterator. Fix various other issues. * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Add error messages to NotImplementedErrors. Remove redundant comment. * Fix imports. * Remove redundant comments. * Rename KnowledgeBase to InMemoryLookupKB and BaseKnowledgeBase to KnowledgeBase. * Fix tests. * Update spacy/errors.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Move KB into subdirectory. * Adjust imports after KB move to dedicated subdirectory. * Fix config imports. * Move Candidate + retrieval functions to separate module. Fix other, small issues. * Fix docstrings and error message w.r.t. class names. Fix typing for candidate retrieval functions. * Update spacy/kb/kb_in_memory.pyx Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Update spacy/ml/models/entity_linker.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Fix typing. * Change typing of mentions to be Span instead of Union[Span, str]. * Update docs. * Update EntityLinker and _architecture docs. * Update website/docs/api/entitylinker.md Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Adjust message for E1046. * Re-add section for Candidate in kb.md, add reference to dedicated page. * Update docs and docstrings. * Re-add section + reference for KnowledgeBase.get_alias_candidates() in docs. * Update spacy/kb/candidate.pyx * Update spacy/kb/kb_in_memory.pyx * Update spacy/pipeline/legacy/entity_linker.py * Remove canididate.md. Remove mistakenly added config snippet in entity_linker.py. Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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kb2 = InMemoryLookupKB(vocab=en_vocab, entity_vector_length=3)
kb2.from_disk(str(file_path))
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# final assertions
_check_kb(kb2)
def _get_dummy_kb(vocab):
Refactor KB for easier customization (#11268) * Add implementation of batching + backwards compatibility fixes. Tests indicate issue with batch disambiguation for custom singular entity lookups. * Fix tests. Add distinction w.r.t. batch size. * Remove redundant and add new comments. * Adjust comments. Fix variable naming in EL prediction. * Fix mypy errors. * Remove KB entity type config option. Change return types of candidate retrieval functions to Iterable from Iterator. Fix various other issues. * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Add error messages to NotImplementedErrors. Remove redundant comment. * Fix imports. * Remove redundant comments. * Rename KnowledgeBase to InMemoryLookupKB and BaseKnowledgeBase to KnowledgeBase. * Fix tests. * Update spacy/errors.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Move KB into subdirectory. * Adjust imports after KB move to dedicated subdirectory. * Fix config imports. * Move Candidate + retrieval functions to separate module. Fix other, small issues. * Fix docstrings and error message w.r.t. class names. Fix typing for candidate retrieval functions. * Update spacy/kb/kb_in_memory.pyx Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Update spacy/ml/models/entity_linker.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Fix typing. * Change typing of mentions to be Span instead of Union[Span, str]. * Update docs. * Update EntityLinker and _architecture docs. * Update website/docs/api/entitylinker.md Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Adjust message for E1046. * Re-add section for Candidate in kb.md, add reference to dedicated page. * Update docs and docstrings. * Re-add section + reference for KnowledgeBase.get_alias_candidates() in docs. * Update spacy/kb/candidate.pyx * Update spacy/kb/kb_in_memory.pyx * Update spacy/pipeline/legacy/entity_linker.py * Remove canididate.md. Remove mistakenly added config snippet in entity_linker.py. Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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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])
kb.add_entity(entity="Q17", freq=2, entity_vector=[7, 1, 0])
kb.add_entity(entity="Q007", freq=7, entity_vector=[0, 0, 7])
kb.add_entity(entity="Q44", freq=342, entity_vector=[4, 4, 4])
kb.add_alias(alias="double07", entities=["Q17", "Q007"], probabilities=[0.1, 0.9])
kb.add_alias(
alias="guy",
entities=["Q53", "Q007", "Q17", "Q44"],
probabilities=[0.3, 0.3, 0.2, 0.1],
)
kb.add_alias(alias="random", entities=["Q007"], probabilities=[1.0])
return kb
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def _check_kb(kb):
# check entities
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()
# check aliases
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()
# check candidates & probabilities
candidates = sorted(kb.get_alias_candidates("double07"), key=lambda x: x.entity_)
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assert len(candidates) == 2
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assert candidates[0].entity_ == "Q007"
CLI scripts for entity linking (wikipedia & generic) (#4091) * document token ent_kb_id * document span kb_id * update pipeline documentation * prior and context weights as bool's instead * entitylinker api documentation * drop for both models * finish entitylinker documentation * small fixes * documentation for KB * candidate documentation * links to api pages in code * small fix * frequency examples as counts for consistency * consistent documentation about tensors returned by predict * add entity linking to usage 101 * add entity linking infobox and KB section to 101 * entity-linking in linguistic features * small typo corrections * training example and docs for entity_linker * predefined nlp and kb * revert back to similarity encodings for simplicity (for now) * set prior probabilities to 0 when excluded * code clean up * bugfix: deleting kb ID from tokens when entities were removed * refactor train el example to use either model or vocab * pretrain_kb example for example kb generation * add to training docs for KB + EL example scripts * small fixes * error numbering * ensure the language of vocab and nlp stay consistent across serialization * equality with = * avoid conflict in errors file * add error 151 * final adjustements to the train scripts - consistency * update of goldparse documentation * small corrections * push commit * turn kb_creator into CLI script (wip) * proper parameters for training entity vectors * wikidata pipeline split up into two executable scripts * remove context_width * move wikidata scripts in bin directory, remove old dummy script * refine KB script with logs and preprocessing options * small edits * small improvements to logging of EL CLI script
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assert 6.999 < candidates[0].entity_freq < 7.01
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"
CLI scripts for entity linking (wikipedia & generic) (#4091) * document token ent_kb_id * document span kb_id * update pipeline documentation * prior and context weights as bool's instead * entitylinker api documentation * drop for both models * finish entitylinker documentation * small fixes * documentation for KB * candidate documentation * links to api pages in code * small fix * frequency examples as counts for consistency * consistent documentation about tensors returned by predict * add entity linking to usage 101 * add entity linking infobox and KB section to 101 * entity-linking in linguistic features * small typo corrections * training example and docs for entity_linker * predefined nlp and kb * revert back to similarity encodings for simplicity (for now) * set prior probabilities to 0 when excluded * code clean up * bugfix: deleting kb ID from tokens when entities were removed * refactor train el example to use either model or vocab * pretrain_kb example for example kb generation * add to training docs for KB + EL example scripts * small fixes * error numbering * ensure the language of vocab and nlp stay consistent across serialization * equality with = * avoid conflict in errors file * add error 151 * final adjustements to the train scripts - consistency * update of goldparse documentation * small corrections * push commit * turn kb_creator into CLI script (wip) * proper parameters for training entity vectors * wikidata pipeline split up into two executable scripts * remove context_width * move wikidata scripts in bin directory, remove old dummy script * refine KB script with logs and preprocessing options * small edits * small improvements to logging of EL CLI script
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assert 1.99 < candidates[1].entity_freq < 2.01
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
def test_serialize_subclassed_kb():
"""Check that IO of a custom KB works fine as part of an EL pipe."""
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config_string = """
[nlp]
lang = "en"
pipeline = ["entity_linker"]
[components]
[components.entity_linker]
factory = "entity_linker"
[components.entity_linker.generate_empty_kb]
@misc = "kb_test.CustomEmptyKB.v1"
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[initialize]
[initialize.components]
[initialize.components.entity_linker]
[initialize.components.entity_linker.kb_loader]
@misc = "kb_test.CustomKB.v1"
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entity_vector_length = 342
custom_field = 666
"""
Refactor KB for easier customization (#11268) * Add implementation of batching + backwards compatibility fixes. Tests indicate issue with batch disambiguation for custom singular entity lookups. * Fix tests. Add distinction w.r.t. batch size. * Remove redundant and add new comments. * Adjust comments. Fix variable naming in EL prediction. * Fix mypy errors. * Remove KB entity type config option. Change return types of candidate retrieval functions to Iterable from Iterator. Fix various other issues. * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Add error messages to NotImplementedErrors. Remove redundant comment. * Fix imports. * Remove redundant comments. * Rename KnowledgeBase to InMemoryLookupKB and BaseKnowledgeBase to KnowledgeBase. * Fix tests. * Update spacy/errors.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Move KB into subdirectory. * Adjust imports after KB move to dedicated subdirectory. * Fix config imports. * Move Candidate + retrieval functions to separate module. Fix other, small issues. * Fix docstrings and error message w.r.t. class names. Fix typing for candidate retrieval functions. * Update spacy/kb/kb_in_memory.pyx Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Update spacy/ml/models/entity_linker.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Fix typing. * Change typing of mentions to be Span instead of Union[Span, str]. * Update docs. * Update EntityLinker and _architecture docs. * Update website/docs/api/entitylinker.md Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Adjust message for E1046. * Re-add section for Candidate in kb.md, add reference to dedicated page. * Update docs and docstrings. * Re-add section + reference for KnowledgeBase.get_alias_candidates() in docs. * Update spacy/kb/candidate.pyx * Update spacy/kb/kb_in_memory.pyx * Update spacy/pipeline/legacy/entity_linker.py * Remove canididate.md. Remove mistakenly added config snippet in entity_linker.py. Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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class SubInMemoryLookupKB(InMemoryLookupKB):
def __init__(self, vocab, entity_vector_length, custom_field):
super().__init__(vocab, entity_vector_length)
self.custom_field = custom_field
def to_disk(self, path, exclude: Iterable[str] = SimpleFrozenList()):
"""We overwrite InMemoryLookupKB.to_disk() to ensure that self.custom_field is stored as well."""
path = ensure_path(path)
if not path.exists():
path.mkdir(parents=True)
if not path.is_dir():
raise ValueError(Errors.E928.format(loc=path))
def serialize_custom_fields(file_path: Path) -> None:
srsly.write_json(file_path, {"custom_field": self.custom_field})
serialize = {
"contents": lambda p: self.write_contents(p),
"strings.json": lambda p: self.vocab.strings.to_disk(p),
"custom_fields": lambda p: serialize_custom_fields(p),
}
util.to_disk(path, serialize, exclude)
def from_disk(self, path, exclude: Iterable[str] = SimpleFrozenList()):
"""We overwrite InMemoryLookupKB.from_disk() to ensure that self.custom_field is loaded as well."""
path = ensure_path(path)
if not path.exists():
raise ValueError(Errors.E929.format(loc=path))
if not path.is_dir():
raise ValueError(Errors.E928.format(loc=path))
def deserialize_custom_fields(file_path: Path) -> None:
self.custom_field = srsly.read_json(file_path)["custom_field"]
deserialize: Dict[str, Callable[[Any], Any]] = {
"contents": lambda p: self.read_contents(p),
"strings.json": lambda p: self.vocab.strings.from_disk(p),
"custom_fields": lambda p: deserialize_custom_fields(p),
}
util.from_disk(path, deserialize, exclude)
@registry.misc("kb_test.CustomEmptyKB.v1")
def empty_custom_kb() -> Callable[[Vocab, int], SubInMemoryLookupKB]:
def empty_kb_factory(vocab: Vocab, entity_vector_length: int):
return SubInMemoryLookupKB(
vocab=vocab,
entity_vector_length=entity_vector_length,
custom_field=0,
)
return empty_kb_factory
@registry.misc("kb_test.CustomKB.v1")
def custom_kb(
entity_vector_length: int, custom_field: int
) -> Callable[[Vocab], SubInMemoryLookupKB]:
def custom_kb_factory(vocab):
Refactor KB for easier customization (#11268) * Add implementation of batching + backwards compatibility fixes. Tests indicate issue with batch disambiguation for custom singular entity lookups. * Fix tests. Add distinction w.r.t. batch size. * Remove redundant and add new comments. * Adjust comments. Fix variable naming in EL prediction. * Fix mypy errors. * Remove KB entity type config option. Change return types of candidate retrieval functions to Iterable from Iterator. Fix various other issues. * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Add error messages to NotImplementedErrors. Remove redundant comment. * Fix imports. * Remove redundant comments. * Rename KnowledgeBase to InMemoryLookupKB and BaseKnowledgeBase to KnowledgeBase. * Fix tests. * Update spacy/errors.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Move KB into subdirectory. * Adjust imports after KB move to dedicated subdirectory. * Fix config imports. * Move Candidate + retrieval functions to separate module. Fix other, small issues. * Fix docstrings and error message w.r.t. class names. Fix typing for candidate retrieval functions. * Update spacy/kb/kb_in_memory.pyx Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Update spacy/ml/models/entity_linker.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Fix typing. * Change typing of mentions to be Span instead of Union[Span, str]. * Update docs. * Update EntityLinker and _architecture docs. * Update website/docs/api/entitylinker.md Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Adjust message for E1046. * Re-add section for Candidate in kb.md, add reference to dedicated page. * Update docs and docstrings. * Re-add section + reference for KnowledgeBase.get_alias_candidates() in docs. * Update spacy/kb/candidate.pyx * Update spacy/kb/kb_in_memory.pyx * Update spacy/pipeline/legacy/entity_linker.py * Remove canididate.md. Remove mistakenly added config snippet in entity_linker.py. Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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kb = SubInMemoryLookupKB(
vocab=vocab,
entity_vector_length=entity_vector_length,
custom_field=custom_field,
)
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kb.add_entity("random_entity", 0.0, zeros(entity_vector_length))
return kb
return custom_kb_factory
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config = Config().from_str(config_string)
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")
Refactor KB for easier customization (#11268) * Add implementation of batching + backwards compatibility fixes. Tests indicate issue with batch disambiguation for custom singular entity lookups. * Fix tests. Add distinction w.r.t. batch size. * Remove redundant and add new comments. * Adjust comments. Fix variable naming in EL prediction. * Fix mypy errors. * Remove KB entity type config option. Change return types of candidate retrieval functions to Iterable from Iterator. Fix various other issues. * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Add error messages to NotImplementedErrors. Remove redundant comment. * Fix imports. * Remove redundant comments. * Rename KnowledgeBase to InMemoryLookupKB and BaseKnowledgeBase to KnowledgeBase. * Fix tests. * Update spacy/errors.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Move KB into subdirectory. * Adjust imports after KB move to dedicated subdirectory. * Fix config imports. * Move Candidate + retrieval functions to separate module. Fix other, small issues. * Fix docstrings and error message w.r.t. class names. Fix typing for candidate retrieval functions. * Update spacy/kb/kb_in_memory.pyx Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Update spacy/ml/models/entity_linker.py Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> * Fix typing. * Change typing of mentions to be Span instead of Union[Span, str]. * Update docs. * Update EntityLinker and _architecture docs. * Update website/docs/api/entitylinker.md Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> * Adjust message for E1046. * Re-add section for Candidate in kb.md, add reference to dedicated page. * Update docs and docstrings. * Re-add section + reference for KnowledgeBase.get_alias_candidates() in docs. * Update spacy/kb/candidate.pyx * Update spacy/kb/kb_in_memory.pyx * Update spacy/pipeline/legacy/entity_linker.py * Remove canididate.md. Remove mistakenly added config snippet in entity_linker.py. Co-authored-by: Paul O'Leary McCann <polm@dampfkraft.com> Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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assert type(entity_linker.kb) == SubInMemoryLookupKB
assert entity_linker.kb.entity_vector_length == 342
assert entity_linker.kb.custom_field == 666
# Make sure the custom KB is serialized correctly
with make_tempdir() as tmp_dir:
nlp.to_disk(tmp_dir)
nlp2 = util.load_model_from_path(tmp_dir)
entity_linker2 = nlp2.get_pipe("entity_linker")
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# After IO, the KB is the standard one
assert type(entity_linker2.kb) == SubInMemoryLookupKB
assert entity_linker2.kb.entity_vector_length == 342
assert entity_linker2.kb.custom_field == 666