pyannotators-entityfishing
Annotator based on entity-fishing for named entity recognition and disambiguation against Wikidata.
Installation
pip install pyannotators-entityfishing
For noun-form filtering (optional):
pip install pyannotators-entityfishing[spacy]
python -m spacy download en_core_web_sm # or other language models
Usage
from pymultirole_plugins.v1.schema import Document
from pyannotators_entityfishing.entityfishing import EntityFishingAnnotator, EntityFishingParameters
annotator = EntityFishingAnnotator()
parameters = EntityFishingParameters(
default_label="ENTITY",
minSelectorScore=0.3,
)
docs = annotator.annotate(
[Document(text="Albert Einstein was born in Ulm.", metadata={"language": "en"})],
parameters,
)
for ann in docs[0].annotations:
print(f"{ann.start}:{ann.end} {ann.labelName} {ann.terms[0].identifier}")
Development
Install test dependencies:
uv pip install -e ".[test]"
Linting
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/
Testing
uv run pytest
Coverage
uv run pytest --cov=src --cov-report=term-missing
SBOM & vulnerability check
Install the SBOM dependencies:
uv sync --extra sbom
Generate a CycloneDX SBOM from the current environment:
uv run cyclonedx-py environment -o sbom.cdx.json --output-format json
Audit dependencies for known vulnerabilities:
uv run pip-audit --format json --output audit-report.json
To fail on any known vulnerability (useful in CI):
uv run pip-audit --strict
1 maintainer
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