pyannotators-entityfishing 1.6.30

Annotator based on entity-fishing

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