Add comprehensive processing logging system

- 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>
This commit is contained in:
copilot-swe-agent[bot]
2026-02-06 22:30:18 +00:00
parent 0d36872539
commit 1903dc5bcd
9 changed files with 509 additions and 59 deletions
+24 -3
View File
@@ -1,5 +1,7 @@
#!/usr/bin/env python3
import logging
import os
from app.config import settings
from app.tasks.retry_config import BaseTaskWithRetry
# Import the shared Celery instance
@@ -7,17 +9,36 @@ from app.celery_app import celery
# 1) Import the aggregator task
from app.tasks.send_to_all import send_to_all_destinations
from app.utils import log_task_progress
from app.database import SessionLocal
from app.models import FileRecord
logger = logging.getLogger(__name__)
@celery.task(base=BaseTaskWithRetry)
def finalize_document_storage(original_file: str, processed_file: str, metadata: dict):
@celery.task(base=BaseTaskWithRetry, bind=True)
def finalize_document_storage(self, original_file: str, processed_file: str, metadata: dict):
"""
Final storage step after embedding metadata.
We will now call 'send_to_all_destinations' to push the final PDF to Dropbox/Nextcloud/Paperless.
"""
print(f"[INFO] Finalizing document storage for {processed_file}")
task_id = self.request.id
logger.info(f"[{task_id}] Finalizing document storage for {processed_file}")
log_task_progress(task_id, "finalize_document_storage", "in_progress", f"Finalizing: {os.path.basename(processed_file)}")
# Get file_id from database
file_id = None
with SessionLocal() as db:
# Try to find by the processed file path first
file_record = db.query(FileRecord).filter(
FileRecord.local_filename.like(f"%{os.path.basename(original_file)}%")
).first()
if file_record:
file_id = file_record.id
# 2) Enqueue uploads to all destinations (Dropbox, Nextcloud, Paperless)
logger.info(f"[{task_id}] Queueing uploads to all destinations")
log_task_progress(task_id, "finalize_document_storage", "success", "Queuing uploads to destinations", file_id=file_id)
send_to_all_destinations.delay(processed_file)
return {