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feat: harden Auto Redact and export for GDPR, fewer false positives - #131
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Detection - Evidence-based scoring of PERSON/LOCATION hits with an Italian lexicon, accepted/suggested states and a review dialog, preview overlay and health-document profile (birth dates, health card, prescription number, exemption codes, postcodes, house numbers, signature/stamp suggestions). - Validation of weak identifier patterns, allowlist by word identity, ligature/letter-spaced/hyphenated word handling, ISTAT place names. Redaction geometry - Rectangles stop short of neighbouring lines' glyph cores (measured deletion rule, pinned by a test); per-character coverage check; text under a box is read from a single baseline. - Placeholders drawn after the redactions, with compact labels in small boxes (restore map v4). Export and privacy - Export sanitiser and output verification, no unredacted temp copy, neutral file names, audit record, local data wipe, rotating logs. - Encrypted dictionaries with expiry, sealed pseudonym key, restore map envelope v3 (Argon2id, optional recovery key), pseudonym styles. Also bumps the prerelease label to beta.2 and aligns the mypy module list across workflows.
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Summary
Reduces false positives in the automatic scan (ordinary Italian words, fragments of neighbouring lines) and hardens the export and the pseudonymization workflow.
Compatibility notes
blocklist.txt/allowlist.txtare migrated to encrypted files and overwritten.Testing
pytest tests/: 309 passedmypyon the 12 modules listed in the workflows: clean