Update controllers/admin_controller.py

controllers/admin_controller.py

@@ -1,7 +1,6 @@
 from fastapi import APIRouter, Request
 from core import service_config, llm_models
 from llm_model import LLMModel
-from intent_utils import background_training
 from log import log
 import json, os, shutil, threading
 
@@ -33,7 +32,6 @@ async def reload_config(request: Request):
             os.makedirs(temp_path, exist_ok=True)
 
             llm_config = incoming_project["llm"]
-            intents = incoming_project["intents"]
 
             temp_instance = LLMModel()
 
@@ -42,15 +40,6 @@ async def reload_config(request: Request):
                 log(f"🆕 Yeni proje '{project_name}' tespit edildi, yükleme başlatılıyor...")
 
                 temp_instance.setup(service_config, llm_config, temp_path)
-                intent_model_path = os.path.join(temp_path, "intent", "trained_model")
-                background_training(
-                    project_name,
-                    intents,
-                    llm_config["intent_model_id"],
-                    intent_model_path,
-                    llm_config["train_confidence_treshold"]
-                )
-                temp_instance.load_intent_model(intent_model_path)
 
                 if os.path.exists(project_path):
                     shutil.rmtree(project_path)
@@ -76,22 +65,6 @@ async def reload_config(request: Request):
                 temp_instance.model = llm_models[project_name].model
                 temp_instance.tokenizer = llm_models[project_name].tokenizer
 
-            # Intent değiştiyse yeniden eğit
-            if current_project["intents"] != intents:
-                intent_model_path = os.path.join(temp_path, "intent", "trained_model")
-                background_training(
-                    project_name,
-                    intents,
-                    llm_config["intent_model_id"],
-                    intent_model_path,
-                    llm_config["train_confidence_treshold"]
-                )
-                temp_instance.load_intent_model(intent_model_path)
-            else:
-                temp_instance.intent_model = llm_models[project_name].intent_model
-                temp_instance.intent_tokenizer = llm_models[project_name].intent_tokenizer
-                temp_instance.intent_label2id = llm_models[project_name].intent_label2id
-
             if os.path.exists(project_path):
                 shutil.rmtree(project_path)
             shutil.copytree(temp_path, project_path)
@@ -104,10 +77,9 @@ async def reload_config(request: Request):
         except Exception as e:
             log(f"❌ reload_config background hatası: {e}")
 
-    # Arka planda başlat
     threading.Thread(target=background_reload, daemon=True).start()
 
     return {
         "status": "accepted",
         "message": f"'{project_name}' için güncelleme arka planda başlatıldı. İşlem loglardan takip edilebilir."
-    }
+    }