- Add original_file_path and processed_file_path columns to FileRecord model
- Create database migration for new fields
- Implement get_unique_filepath_with_counter() with -0001 suffix format
- Update process_document to save immutable copy to /workdir/original
- Add force_cloud_ocr parameter to process_document for forced OCR
- Update embed_metadata to use new collision handling
- Update metadata JSON to include file path references
- Add /files/{file_id}/reprocess-with-cloud-ocr API endpoint
- Update processed_file_path in database during embedding
Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
- Add file_id parameter to process_document to skip duplicate hash check on reprocess
- Pass file_id from reprocess_single_file and bulk_reprocess_files endpoints
- Extend retry-subtask endpoint to support pipeline steps (process_document,
process_with_azure_document_intelligence, extract_metadata_with_gpt,
embed_metadata_into_pdf) in addition to upload tasks
- Add retry button for failed main pipeline steps in file detail UI
- Add comprehensive tests for reprocessing and pipeline step retry
Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
- Added database logging to all major processing tasks
- Created API endpoints for retrieving processing logs
- Updated frontend to display processing logs per file
- Logging includes: process_document, convert_to_pdf, extract_metadata_with_gpt, embed_metadata_into_pdf, finalize_document_storage, send_to_all_destinations
Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
- Rename upload_to_s3.py to process_document.py to better reflect its purpose
- Update all import statements across the codebase to use new module name
- Remove S3-specific code and references
- Keep the core document processing logic intact
- Update docstrings and comments to reflect new functionality
This change is part of removing AWS S3 dependencies and simplifying the
document processing pipeline.