rerun4

routes/routeMsft.py

@@ -480,7 +480,6 @@ async def get_access_token(currentUser: Dict[str, Any] = Depends(getCurrentActiv
             detail=f"Error getting access token: {str(e)}"
         )
 
-
 @router.post("/token")
 async def get_backend_token(request: Request):
     """Convert MSAL token to backend token"""
@@ -543,7 +542,7 @@ async def get_backend_token(request: Request):
             status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
             detail=f"Error processing MSAL token: {str(e)}"
         )
-=======
+
 @router.post("/save-token")
 async def save_token(token_data: Dict[str, Any], currentUser: Dict[str, Any] = Depends(getCurrentActiveUser)):
     """Save Microsoft token data from frontend"""
@@ -568,49 +567,3 @@ async def save_token(token_data: Dict[str, Any], currentUser: Dict[str, Any] = D
             "success": False,
             "message": f"Error saving token: {str(e)}"
         })
-
-async def generateFinalMessage(self, objUserResponse: str, objFinalDocuments: List[str], objResults: List[Dict[str, Any]]) -> Dict[str, Any]:
-    """Generate the final message for the workflow"""
-    try:
-        # Get list of delivered documents
-        matchingDocuments = []
-        for result in objResults:
-            if "documents" in result:
-                for doc in result["documents"]:
-                    if doc.get("label") in objFinalDocuments:
-                        matchingDocuments.append(doc.get("label"))
-        
-        # Use the mydom for language-aware AI calls
-        finalPrompt = await self.mydom.callAi([
-            {"role": "system", "content": "You are a project manager, who delivers results to a user."},
-            {"role": "user", "content": f"""
-Give a brief summary of what has been accomplished, referencing the initial request (objUserResponse). List only the files that have been successfully delivered (filesDelivered). Keep the message concise and professional.
-
-Here the data:
-objUserResponse = {self.parseJson2text(objUserResponse)}
-filesDelivered = {self.parseJson2text(matchingDocuments)}
-"""
-            }
-        ], produceUserAnswer=True)        
-
-        # Create basic message structure with proper fields
-        logger.debug(f"FINAL PROMPT = {self.parseJson2text(finalPrompt)}.")
-        finalMessage = {
-            "role": "assistant",
-            "agentName": "Project Manager",
-            "content": finalPrompt,
-            "documents": []  # DO NOT include the results documents, already with agents
-        }
-            
-        logger.debug(f"FINAL MESSAGE = {self.parseJson2text(finalMessage)}.")
-        return finalMessage
-        
-    except Exception as e:
-        logger.error(f"Error generating final message: {str(e)}")
-        return {
-            "role": "assistant",
-            "agentName": "Project Manager",
-            "content": "I apologize, but there was an error generating the final message. Please check the logs for more details.",
-            "documents": []
-        }
-