copilot-swe-agent[bot]
74680c8849
- 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>
48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
#!/usr/bin/env python3
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import logging
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import os
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from app.config import settings
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from app.tasks.retry_config import BaseTaskWithRetry
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# Import the shared Celery instance
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from app.celery_app import celery
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# 1) Import the aggregator task
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from app.tasks.send_to_all import send_to_all_destinations
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from app.utils import log_task_progress
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from app.database import SessionLocal
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from app.models import FileRecord
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logger = logging.getLogger(__name__)
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@celery.task(base=BaseTaskWithRetry, bind=True)
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def finalize_document_storage(self, original_file: str, processed_file: str, metadata: dict, file_id: int = None):
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"""
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Final storage step after embedding metadata.
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We will now call 'send_to_all_destinations' to push the final PDF to Dropbox/Nextcloud/Paperless.
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"""
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task_id = self.request.id
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logger.info(f"[{task_id}] Finalizing document storage for {processed_file}")
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log_task_progress(task_id, "finalize_document_storage", "in_progress", f"Finalizing: {os.path.basename(processed_file)}", file_id=file_id)
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# Get file_id from database if not provided
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if file_id is None:
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with SessionLocal() as db:
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# Try to find by the original file path
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file_record = db.query(FileRecord).filter(
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FileRecord.local_filename.like(f"%{os.path.basename(original_file)}%")
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).first()
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if file_record:
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file_id = file_record.id
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# 2) Enqueue uploads to all destinations (Dropbox, Nextcloud, Paperless)
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logger.info(f"[{task_id}] Queueing uploads to all destinations")
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log_task_progress(task_id, "finalize_document_storage", "success", "Queuing uploads to destinations", file_id=file_id)
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send_to_all_destinations.delay(processed_file, True, file_id)
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return {
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"status": "Completed",
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"file": processed_file
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}
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