Christian Krakau-Louis
117 lines
4.6 KiB
Python
117 lines
4.6 KiB
Python
#!/usr/bin/env python3
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import logging
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import os
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# Import the shared Celery instance
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from app.celery_app import celery
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from app.config import settings
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from app.database import SessionLocal
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from app.models import FileRecord
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from app.tasks.retry_config import BaseTaskWithRetry
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# Import the aggregator task and validator
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from app.tasks.send_to_all import get_configured_services_from_validator, send_to_all_destinations
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# Import database and logging utils from main
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from app.utils import log_task_progress
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# Import notification utility
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from app.utils.notification import notify_file_processed
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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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After uploading, send a notification about the processed file.
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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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# 1. Update Database Status
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log_task_progress(
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task_id,
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"finalize_document_storage",
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"in_progress",
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f"Finalizing: {os.path.basename(processed_file)}",
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file_id=file_id,
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)
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# Get file_id from database if not provided (fallback logic)
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if file_id is None:
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with SessionLocal() as db:
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# Only as a last resort, try to find by exact match on local_filename
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tmp_path = os.path.join(settings.workdir, "tmp", os.path.basename(original_file))
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file_record = db.query(FileRecord).filter(FileRecord.local_filename == tmp_path).first()
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if file_record:
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file_id = file_record.id
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# 2. Determine Configured Destinations
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# This is needed for the notification message later
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configured_destinations = []
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try:
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configured_services = get_configured_services_from_validator()
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# Get list of service names that are configured
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for service_name, is_configured in configured_services.items():
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if is_configured:
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# Format service names for display
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display_name = service_name.replace("_", " ").title()
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configured_destinations.append(display_name)
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except Exception as e:
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logger.warning(f"[WARNING] Could not determine configured destinations: {e}")
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configured_destinations = ["configured destinations"]
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# 3. Queue Uploads
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logger.info(f"[{task_id}] Queueing uploads to all destinations")
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log_task_progress(
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task_id, "finalize_document_storage", "success", "Queuing uploads to destinations", file_id=file_id
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)
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# Note: send_to_all_destinations is asynchronous and queues upload tasks
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send_to_all_destinations.delay(processed_file, True, file_id)
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# 3a. Trigger PDF/A archival conversion if enabled (from feature branch)
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if settings.enable_pdfa_conversion:
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try:
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from app.tasks.convert_to_pdfa import convert_to_pdfa
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logger.info(f"[{task_id}] PDF/A conversion enabled, queueing archival conversion")
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log_task_progress(
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task_id,
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"finalize_document_storage",
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"in_progress",
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"Queueing PDF/A archival conversion",
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file_id=file_id,
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)
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convert_to_pdfa.delay(file_id)
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except Exception as e:
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logger.warning(f"[{task_id}] Could not queue PDF/A conversion: {e}")
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# 3b. Queue embedding computation (from main branch)
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if file_id is not None:
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try:
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from app.tasks.compute_embedding import compute_document_embedding
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compute_document_embedding.delay(file_id)
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logger.info(f"[{task_id}] Queued embedding computation for file {file_id}")
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except Exception as e:
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logger.warning(f"[{task_id}] Could not queue embedding task: {e}")
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# 4. Send Notification
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try:
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# Get file information
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file_size = os.path.getsize(processed_file) if os.path.exists(processed_file) else 0
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filename = os.path.basename(processed_file)
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notify_file_processed(
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filename=filename,
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file_size=file_size,
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metadata=metadata,
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destinations=configured_destinations
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)
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except Exception as e:
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logger.warning(f"[WARNING] Failed to send file processed notification: {e}")
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return {"status": "Completed", "file": processed_file} |