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Fix file_id propagation through task chain

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- Pass file_id as parameter through all task chains
- Update process_document, extract_metadata_with_gpt, embed_metadata_into_pdf, finalize_document_storage, send_to_all_destinations, rotate_pdf_pages, and process_with_azure_document_intelligence
- Remove unreliable LIKE queries, use explicit file_id passing instead

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot]
2026-02-06 22:34:01 +00:00
parent 1903dc5bcd
commit 74680c8849
7 changed files with 61 additions and 54 deletions
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app/tasks/process_document.py
+2 -2
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@@ -130,12 +130,12 @@ def process_document(self, original_local_file: str):
# Call metadata extraction directly
logger.info(f"[{task_id}] Queueing metadata extraction")
log_task_progress(task_id, "process_document", "success", "Queued for metadata extraction", file_id=new_record.id)
extract_metadata_with_gpt.delay(new_filename, extracted_text)
extract_metadata_with_gpt.delay(new_filename, extracted_text, new_record.id)
return {"file": new_local_path, "status": "Text extracted locally", "file_id": new_record.id}
# 3. If no embedded text, queue Azure Document Intelligence processing
logger.info(f"[{task_id}] No embedded text found. Queueing Azure Document Intelligence processing")
log_task_progress(task_id, "check_text", "success", "No embedded text, queuing OCR", file_id=new_record.id)
log_task_progress(task_id, "process_document", "success", "Queued for OCR processing", file_id=new_record.id)
process_with_azure_document_intelligence.delay(new_filename)
process_with_azure_document_intelligence.delay(new_filename, new_record.id)
return {"file": new_local_path, "status": "Queued for OCR", "file_id": new_record.id}