Fix: replace nltk with spacy CVE 2025 14009#4255
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NLTK's downloader uses zipfile.extractall() without path validation, enabling RCE via malicious packages (CVSS 10.0, no patch available). spaCy models install as pip packages, eliminating the vulnerable downloader entirely. - Rewrite unstructured/nlp/tokenize.py to use spaCy en_core_web_sm - Replace nltk with spacy + en-core-web-sm in requirements - Update Dockerfiles to install spaCy model instead of NLTK data - Update Makefile target install-nltk-models → install-spacy-model - Update all CI workflows to remove NLTK_DATA env/cache paths - Delete typings/nltk/ stubs (no longer needed) - Rename test mock_nltk.py → mock_nlp.py Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix numpy.str_ compatibility in spaCy tokenizer for OCR pipelines - Add clear error message when en_core_web_sm model is missing - Update test expectations for spaCy's contextual POS tagging: - "break" correctly tagged as noun in "section break" context - "sit" correctly tagged as verb in "Lorem ipsum dolor sit amet" - Simplify HTML join test to avoid classification sensitivity - Add regex dependency Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Run _nlp() once per text input instead of 1+2N times for N sentences. Removes re-tokenization in _pos_tag that could alter token boundaries. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Update expected element types in spring-weather.html.json to reflect spaCy's different POS tagging behavior on HTML fragments. These are markup strings where neither tagger produces meaningful classifications. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Consolidates spaCy model installation into a single declaration in pyproject.toml with tool.uv.sources, removing manual install steps from Makefile, Dockerfile, CI workflows, and base-cache action. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix tokenize cache tests to not reference removed internal functions - Update pptx hierarchy test for Linux x86 spaCy output: "There's" gets tokenized with 's as POS (possessive) instead of VBZ (verb), changing the element from NarrativeText to Title - Update metrics element type frequency fixtures accordingly Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…pdate (#4256) This pull request includes updated ingest test fixtures. Please review and merge if appropriate. <!-- CURSOR_SUMMARY --> --- > [!NOTE] > **Low Risk** > Only golden test artifacts change (no runtime code paths), with risk limited to masking unintended output regressions if the new fixtures are incorrect. > > **Overview** > Updates ingest *expected output fixtures* (HTML + JSON) to reflect new document parsing/classification results. > > Across multiple fixture sets (Azure HTML, PDF reprocess, and multilingual UDHR text), element `type`/HTML tag assignments shift (notably `UncategorizedText` ↔ `NarrativeText`, and some `p` ↔ `h1`), and composite element boundaries/IDs change (e.g., `multi-column-2p.pdf` splits/moves the DPR GitHub link into its own element). > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit c5047da. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup> <!-- /CURSOR_SUMMARY --> Co-authored-by: badGarnet <badGarnet@users.noreply.github.com>
lawrence-u10d
approved these changes
Feb 22, 2026
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