mirror of
https://github.com/deepset-ai/haystack.git
synced 2025-07-11 02:50:46 +00:00
68 lines
2.7 KiB
Python
68 lines
2.7 KiB
Python
# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
|
|
#
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
import pytest
|
|
|
|
from haystack import ComponentError, DeserializationError, Pipeline
|
|
from haystack.components.extractors import NamedEntityExtractor, NamedEntityExtractorBackend
|
|
from haystack.utils.device import ComponentDevice
|
|
|
|
|
|
def test_named_entity_extractor_backend():
|
|
_ = NamedEntityExtractor(backend=NamedEntityExtractorBackend.HUGGING_FACE, model="dslim/bert-base-NER")
|
|
|
|
_ = NamedEntityExtractor(backend="hugging_face", model="dslim/bert-base-NER")
|
|
|
|
_ = NamedEntityExtractor(backend=NamedEntityExtractorBackend.SPACY, model="en_core_web_sm")
|
|
|
|
_ = NamedEntityExtractor(backend="spacy", model="en_core_web_sm")
|
|
|
|
with pytest.raises(ComponentError, match=r"Invalid backend"):
|
|
NamedEntityExtractor(backend="random_backend", model="dslim/bert-base-NER")
|
|
|
|
|
|
def test_named_entity_extractor_serde():
|
|
extractor = NamedEntityExtractor(
|
|
backend=NamedEntityExtractorBackend.HUGGING_FACE,
|
|
model="dslim/bert-base-NER",
|
|
device=ComponentDevice.from_str("cuda:1"),
|
|
)
|
|
|
|
serde_data = extractor.to_dict()
|
|
new_extractor = NamedEntityExtractor.from_dict(serde_data)
|
|
|
|
assert type(new_extractor._backend) == type(extractor._backend)
|
|
assert new_extractor._backend.model_name == extractor._backend.model_name
|
|
assert new_extractor._backend.device == extractor._backend.device
|
|
|
|
with pytest.raises(DeserializationError, match=r"Couldn't deserialize"):
|
|
serde_data["init_parameters"].pop("backend")
|
|
_ = NamedEntityExtractor.from_dict(serde_data)
|
|
|
|
|
|
# tests for NamedEntityExtractor serialization/deserialization in a pipeline
|
|
def test_named_entity_extractor_pipeline_serde(tmp_path):
|
|
extractor = NamedEntityExtractor(backend=NamedEntityExtractorBackend.HUGGING_FACE, model="dslim/bert-base-NER")
|
|
p = Pipeline()
|
|
p.add_component(instance=extractor, name="extractor")
|
|
|
|
with open(tmp_path / "test_pipeline.yaml", "w") as f:
|
|
p.dump(f)
|
|
with open(tmp_path / "test_pipeline.yaml", "r") as f:
|
|
q = Pipeline.load(f)
|
|
|
|
assert p.to_dict() == q.to_dict(), "Pipeline serialization/deserialization with NamedEntityExtractor failed."
|
|
|
|
|
|
def test_named_entity_extractor_serde_none_device():
|
|
extractor = NamedEntityExtractor(
|
|
backend=NamedEntityExtractorBackend.HUGGING_FACE, model="dslim/bert-base-NER", device=None
|
|
)
|
|
|
|
serde_data = extractor.to_dict()
|
|
new_extractor = NamedEntityExtractor.from_dict(serde_data)
|
|
|
|
assert type(new_extractor._backend) == type(extractor._backend)
|
|
assert new_extractor._backend.model_name == extractor._backend.model_name
|
|
assert new_extractor._backend.device == extractor._backend.device
|