Upgrade configuration and Docker stack to v2.0.0

worker.py

@@ -1,19 +1,36 @@
+#!/usr/bin/env python3
 """
-Entrypoint du worker ARQ — traitement des images en arrière-plan.
+Worker ARQ — lancement du worker de traitement asynchrone.
 
-Lancer avec : python worker.py
+Usage:
+    python worker.py
+    # ou via arq directement :
+    # arq app.workers.image_worker.WorkerSettings
 
-Le worker écoute les queues Redis 'standard' et 'premium' et traite
-les tâches de pipeline image (EXIF → OCR → AI).
+Le worker écoute la file Redis et traite les images uploadées
+via le pipeline EXIF → OCR → Vision AI.
 """
-import asyncio
+import logging
+import sys
+from pathlib import Path
+
+# Ajouter le répertoire parent au PYTHONPATH pour les imports relatifs
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+
 from arq import run_worker
-from app.config import settings
+
 from app.logging_config import configure_logging
+from app.config import settings
 from app.workers.image_worker import WorkerSettings
 
-# Configure le logging dès l'import
-configure_logging(debug=settings.DEBUG)
 
-if __name__ == "__main__" :
+def main():
+    configure_logging(debug=settings.DEBUG)
+    logger = logging.getLogger("worker")
+    logger.info("Starting Imago worker on queue '%s'", WorkerSettings.queue_name)
+
     run_worker(WorkerSettings)
+
+
+if __name__ == "__main__":
+    main()