Update chat_handler.py

chat_handler.py

@@ -1,10 +1,8 @@
 from fastapi import Request
 from fastapi.responses import JSONResponse
 import traceback
-import random
 from llm_model import Message, LLMModel
 from intent_api import execute_intent
-from intent_utils import validate_variable_formats
 from parse_llm_blocks import parse_llm_blocks
 from log import log
 
@@ -49,18 +47,7 @@ async def handle_chat(msg: Message, request: Request, app, service_config, sessi
         # Eksik parametre varsa → kullanıcıdan istenecek
         if missing:
             session.awaiting_variable = missing[0]
-            return {"response": f"Lütfen {', '.join(missing)} bilgisini belirtir misiniz?"}
-
-        # Parametreleri validasyonla kontrol et
-        intent_definitions = {i["name"]: i for i in service_config.get_project_intents(project_name)}
-        data_formats = service_config.data_formats
-
-        variable_format_map = intent_definitions.get(intent, {}).get("variable_formats", {})
-        is_valid, validation_errors = validate_variable_formats(session.variables, variable_format_map, data_formats)
-
-        if not is_valid:
-            session.awaiting_variable = list(validation_errors.keys())[0]
-            return {"response": list(validation_errors.values())[0]}
+            return {"response": f"Lütfen {', '.join(missing)} bilgisini belirtir misin?"}
 
         # === API çağrısı yap
         log("🚀 execute_intent() çağrılıyor...")
@@ -68,29 +55,16 @@ async def handle_chat(msg: Message, request: Request, app, service_config, sessi
             intent,
             user_input,
             session.__dict__,
-            intent_definitions,
-            data_formats,
             project_name,
             service_config
         )
 
         if "reply" in result:
-            api_reply = result["reply"]
-            # API cevabını modele geri verip insani cevap iste
-            response_prompt = f"intent:{intent} response:{api_reply}"
-            log(f"🤖 API cevabı modele gönderiliyor: {response_prompt}")
-
-            session.chat_history.append({"role": "user", "content": response_prompt})
-            final_response = await llm_model.generate_response_with_messages(session.chat_history, project_config, system_prompt)
-            log(f"🤖 Final insani cevap: {final_response}")
-
-            session.chat_history.append({"role": "assistant", "content": final_response})
-            return {"response": final_response}
-
-        elif "errors" in result:
-            return {"response": list(result["errors"].values())[0]}
+            return {"response": result["reply"]}
+        elif "fallback" in result:
+            return {"response": result["fallback"]}
         else:
-            return {"response": random.choice(project_config["fallback_answers"])}
+            return {"response": "Beklenmeyen bir hata oluştu."}
 
     except Exception as e:
         traceback.print_exc()