Update src/services/cv_service.py

src/services/cv_service.py

@@ -6,13 +6,13 @@ from typing import Dict, Any, List
 from src.config import load_pdf
 from src.agents.cv_agents import CVAgentOrchestrator
 from src.agents.scoring_agent import SimpleScoringAgent
+from src.agents.analysis_agent import AnalysisAgent
+
 
 logger = logging.getLogger(__name__)
 
 async def parse_cv(pdf_path: str) -> Dict[str, Any]:
-    # Initialize orchestrator and scoring agent here or pass them as arguments
-    # For simplicity, initializing them here. In a real app, consider dependency injection.
-    orchestrator = CVAgentOrchestrator(llm=None) # LLM will be passed to agents directly
+    orchestrator = CVAgentOrchestrator(llm=None)
     scoring_agent = SimpleScoringAgent()
     cv_text = load_pdf(pdf_path)
     if not cv_text or not cv_text.strip():
@@ -38,7 +38,16 @@ async def parse_cv(pdf_path: str) -> Dict[str, Any]:
     else:
         logger.warning("No skill levels calculated, adding empty analysis")
         cv_data["candidat"]["analyse_competences"] = []
+
+    logger.info("Lancement de l'analyse enrichie du profil...")
+    analysis_agent = AnalysisAgent()
+    enriched_analysis = analysis_agent.analyze_candidate(cv_data)
     
+    if enriched_analysis:
+        cv_data["candidat"]["analyse_globale"] = enriched_analysis
+        logger.info("Analyse enrichie ajoutée avec succès")
+    else:
+        logger.warning("Aucune analyse enrichie générée")
     return cv_data
 
 def _create_fallback_data() -> Dict[str, Any]: