Update core/docling_engine.py

core/docling_engine.py

@@ -1,28 +1,20 @@
 import json
 import os
-import streamlit as st
 from pathlib import Path
 from docling.document_converter import DocumentConverter
 
 class IngestionEngine:
     def __init__(self):
-        try:
-            # Sur HF Docker, le cache est configuré via les ENV du Dockerfile
-            self.converter = DocumentConverter()
-            self.is_ready = True
-        except Exception as e:
-            st.error(f"Erreur initialisation Docling: {e}")
-            self.is_ready = False
+        # Utilise les dossiers configurés dans le Dockerfile
+        self.converter = DocumentConverter()
 
     def process_document(self, file_path: Path, output_dir: Path):
-        if not self.is_ready: return {"status": "error", "message": "Moteur non prêt"}
         try:
             result = self.converter.convert(str(file_path))
             doc_dict = result.document.export_to_dict()
-            
             output_file = output_dir / f"{file_path.stem}.json"
             with open(output_file, 'w', encoding='utf-8') as f:
                 json.dump(doc_dict, f, ensure_ascii=False, indent=2)
-            return {"status": "success", "message": f"Analyse réussie : {output_file.name}"}
+            return {"status": "success", "message": "OCR terminé avec succès"}
         except Exception as e:
             return {"status": "error", "message": str(e)}