Fix: remove duplicate code in preload_models.py

backend/hue_portal/hue_portal/preload_models.py

@@ -55,59 +55,3 @@ def preload_all_models():
         import traceback
         traceback.print_exc()
 
-Preload all models when worker process starts.
-This module is imported by wsgi.py to ensure models are loaded before first request.
-"""
-import os
-import sys
-
-def preload_all_models():
-    """Preload all models (embedding, LLM, reranker) in worker process."""
-    print('[PRELOAD] 🔄 Starting model preload in worker process...', flush=True)
-    try:
-        # 1. Preload Embedding Model (BGE-M3)
-        try:
-            print('[PRELOAD] 📦 Preloading embedding model (BGE-M3)...', flush=True)
-            from hue_portal.core.embeddings import get_embedding_model
-            embedding_model = get_embedding_model()
-            if embedding_model:
-                print('[PRELOAD] ✅ Embedding model preloaded successfully', flush=True)
-            else:
-                print('[PRELOAD] ⚠️ Embedding model not loaded', flush=True)
-        except Exception as e:
-            print(f'[PRELOAD] ⚠️ Embedding model preload failed: {e}', flush=True)
-        
-        # 2. Preload LLM Model (llama.cpp)
-        llm_provider = os.environ.get('DEFAULT_LLM_PROVIDER') or os.environ.get('LLM_PROVIDER', '')
-        if llm_provider.lower() == 'llama_cpp':
-            try:
-                print('[PRELOAD] 📦 Preloading LLM model (llama.cpp)...', flush=True)
-                from hue_portal.chatbot.llm_integration import get_llm_generator
-                llm_gen = get_llm_generator()
-                if llm_gen and hasattr(llm_gen, 'llama_cpp') and llm_gen.llama_cpp:
-                    print('[PRELOAD] ✅ LLM model preloaded successfully', flush=True)
-                else:
-                    print('[PRELOAD] ⚠️ LLM model not loaded (may load on first request)', flush=True)
-            except Exception as e:
-                print(f'[PRELOAD] ⚠️ LLM model preload failed: {e} (will load on first request)', flush=True)
-        else:
-            print(f'[PRELOAD] ⏭️ Skipping LLM preload (provider is {llm_provider or "not set"}, not llama_cpp)', flush=True)
-        
-        # 3. Preload Reranker Model
-        try:
-            print('[PRELOAD] 📦 Preloading reranker model...', flush=True)
-            from hue_portal.core.reranker import get_reranker
-            reranker = get_reranker()
-            if reranker:
-                print('[PRELOAD] ✅ Reranker model preloaded successfully', flush=True)
-            else:
-                print('[PRELOAD] ⚠️ Reranker model not loaded (may load on first request)', flush=True)
-        except Exception as e:
-            print(f'[PRELOAD] ⚠️ Reranker preload failed: {e} (will load on first request)', flush=True)
-        
-        print('[PRELOAD] ✅ Model preload completed in worker process', flush=True)
-    except Exception as e:
-        print(f'[PRELOAD] ⚠️ Model preload error: {e} (models will load on first request)', flush=True)
-        import traceback
-        traceback.print_exc()
-