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feat(pdfa): add PDF/A archival conversion using ocrmypdf

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- Add ENABLE_PDFA_CONVERSION, PDFA_FORMAT, PDFA_UPLOAD_TO_PROVIDERS config settings
- Add original_pdfa_path and processed_pdfa_path columns to FileRecord model
- Create Alembic migration 011_add_pdfa_paths
- Create app/tasks/convert_to_pdfa.py Celery task using ocrmypdf + Ghostscript
- Integrate PDF/A conversion into finalize_document_storage pipeline
- Add comprehensive unit tests (15 tests)
- Update .env.demo and docs/ConfigurationGuide.md

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot]
2026-03-02 13:35:13 +00:00
parent 34b9d529e7
commit eea99eb01d
9 changed files with 755 additions and 1 deletions
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app/models.py
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@@ -67,6 +67,10 @@ class FileRecord(Base):
# Human-readable document title from AI metadata
document_title = Column(String, nullable=True)
# PDF/A archival variant paths (generated when ENABLE_PDFA_CONVERSION is True)
original_pdfa_path = Column(String, nullable=True) # PDF/A copy of the original ingested file
processed_pdfa_path = Column(String, nullable=True) # PDF/A copy of the processed file
# Pre-computed text embedding vector stored as JSON array of floats
embedding = Column(Text, nullable=True)