Update main.py

main.py

@@ -34,7 +34,7 @@ except Exception as e:
 
 
 try:
-    from src.cv_parsing_agents import CvParserAgent, create_fallback_cv_data
+    from src.cv_parsing_agents import OptimizedCvParserAgent, create_fallback_cv_data
     CV_PARSING_AVAILABLE = True
     logger.info("✅ CV Parsing disponible")
 except Exception as e:
@@ -136,9 +136,6 @@ async def health_check():
 @app.post("/parse-cv/", tags=["CV Parsing"])
 async def parse_cv(file: UploadFile = File(...)):
     """Analyse un CV PDF et extrait les informations structurées."""
-    if not CV_PARSING_AVAILABLE:
-        return create_fallback_cv_data() if create_fallback_cv_data else {"error": "Service de parsing indisponible"}
-    
     if file.content_type != "application/pdf":
         raise HTTPException(status_code=400, detail="Fichier PDF requis")
 
@@ -151,10 +148,6 @@ async def parse_cv(file: UploadFile = File(...)):
         
         cv_agent = CvParserAgent(pdf_path=tmp_path)
         parsed_data = await run_in_threadpool(cv_agent.process)
-        
-        if not parsed_data and create_fallback_cv_data:
-            parsed_data = create_fallback_cv_data(tmp_path)
-        
         if SCORING_AVAILABLE and ContextualScoringEngine and parsed_data:
             try:
                 scoring_engine = ContextualScoringEngine(parsed_data)
@@ -168,8 +161,6 @@ async def parse_cv(file: UploadFile = File(...)):
         
     except Exception as e:
         logger.error(f"Erreur parsing CV: {e}")
-        if create_fallback_cv_data:
-            return create_fallback_cv_data(tmp_path)
         raise HTTPException(status_code=500, detail=str(e))
     
     finally: