Upgrade Transformers to resolve six Dependabot alerts#2189
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Replace the incompatible spaCy adapter with an internal token-classification bridge. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> Copilot-Session: 2e86159d-80a9-4926-9378-c5dabe07a39f
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Pull request overview
This PR upgrades the Presidio Analyzer’s Transformers integration to address Dependabot alerts by moving to Transformers 5.5+ and replacing the spacy-huggingface-pipelines dependency with an internal spaCy token-classification bridge.
Changes:
- Bump the analyzer’s Transformers-related dependency constraints (Transformers 5.5+; tighten GLiNER Transformers range) and refresh
uv.lockaccordingly (Transformers 5.6.2, Hugging Face Hub 1.24.0). - Replace the external spaCy↔Transformers adapter with an internal spaCy pipeline component (
presidio_transformers_ner) which writes spans + scores intodoc.spans. - Add focused unit tests for the new spaCy pipe behavior and update docs/links to reference Hugging Face pipeline documentation.
Reviewed changes
Copilot reviewed 5 out of 6 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| presidio-analyzer/uv.lock | Refresh lockfile for upgraded Transformers/HF Hub and remove spacy-huggingface-pipelines. |
| presidio-analyzer/tests/test_transformers_nlp_engine.py | Add tests validating spans + score storage and batching behavior for the new spaCy pipe. |
| presidio-analyzer/pyproject.toml | Raise Transformers minimum version and remove the incompatible adapter from extras. |
| presidio-analyzer/presidio_analyzer/predefined_recognizers/nlp_engine_recognizers/transformers_recognizer.py | Update reference link from the removed adapter to the HF pipeline docs. |
| presidio-analyzer/presidio_analyzer/nlp_engine/transformers_nlp_engine.py | Implement internal spaCy token-classification bridge and wire it into TransformersNlpEngine. |
| docs/analyzer/nlp_engines/transformers.md | Update documentation link to Hugging Face token-classification pipeline parameters. |
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| pipeline_kwargs = { | ||
| "task": "token-classification", | ||
| "model": model, | ||
| "aggregation_strategy": aggregation_strategy, | ||
| "device": device_detector.get_device(), | ||
| } |
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| logger.warning( | ||
| "Skipping malformed Transformers prediction: %s", prediction | ||
| ) |
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| logger.warning( | ||
| "Skipping unaligned or overlapping Transformers prediction: %s", | ||
| prediction, | ||
| ) |
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Summary
spacy-huggingface-pipelinesadapter, which caps Transformers below 5.0, with an internal spaCy token-classification bridgeSecurity impact
This resolves the next-largest Dependabot group: six open Transformers alerts across
pyproject.tomlanduv.lock(four high and two medium).Validation
poetry -C presidio-analyzer check --strictuv lock --checkwith uv 0.11.6