Update: disable Query Rewrite, optimize performance

Dockerfile

@@ -54,73 +54,11 @@ fi
 echo "[Docker] Collecting static files..."
 python /app/hue_portal/manage.py collectstatic --noinput || echo "[Docker] Collectstatic failed, continuing..."
 
-echo "[Docker] Preloading all models to avoid first-request timeout..."
-python -c "
-import os
-import sys
-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'hue_portal.hue_portal.settings')
-import django
-django.setup()
-
-print('[Docker] 🔄 Starting model preload...', flush=True)
-
-# 1. Preload Embedding Model (BGE-M3)
-try:
-    print('[Docker] 📦 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('[Docker] ✅ Embedding model preloaded successfully', flush=True)
-    else:
-        print('[Docker] ⚠️ Embedding model not loaded', flush=True)
-except Exception as e:
-    print(f'[Docker] ⚠️ 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('[Docker] 📦 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('[Docker] ✅ LLM model preloaded successfully', flush=True)
-        else:
-            print('[Docker] ⚠️ LLM model not loaded (may load on first request)', flush=True)
-    except Exception as e:
-        print(f'[Docker] ⚠️ LLM model preload failed: {e} (will load on first request)', flush=True)
-else:
-    print(f'[Docker] ⏭️ Skipping LLM preload (provider is {llm_provider or \"not set\"}, not llama_cpp)', flush=True)
-
-# 3. Preload Reranker Model
-try:
-    print('[Docker] 📦 Preloading reranker model...', flush=True)
-    from hue_portal.core.reranker import get_reranker
-    reranker = get_reranker()
-    if reranker:
-        print('[Docker] ✅ Reranker model preloaded successfully', flush=True)
-    else:
-        print('[Docker] ⚠️ Reranker model not loaded (may load on first request)', flush=True)
-except Exception as e:
-    print(f'[Docker] ⚠️ Reranker preload failed: {e} (will load on first request)', flush=True)
-
-print('[Docker] ✅ Model preload completed', flush=True)
-" || echo "[Docker] ⚠️ Model preload had errors (models will load on first request)"
-
 echo "[Docker] Starting gunicorn..."
-# Reduce tokenizers parallelism warnings and risk of fork deadlocks
-export TOKENIZERS_PARALLELISM=false
-# Shorter timeouts to avoid long hangs; adjust if needed
-cd /app/backend && export PYTHONPATH="/app/backend:${PYTHONPATH}" && exec gunicorn -b 0.0.0.0:7860 --timeout 600 --graceful-timeout 600 --worker-class sync --config python:hue_portal.hue_portal.gunicorn_app hue_portal.hue_portal.gunicorn_app:application
+exec gunicorn -b 0.0.0.0:7860 --timeout 1800 --graceful-timeout 1800 --worker-class sync hue_portal.hue_portal.wsgi:application
 EOF
 
 RUN chmod +x /entrypoint.sh
 
 EXPOSE 7860
 CMD ["/entrypoint.sh"]
-
-EXPOSE 7860
-CMD ["/entrypoint.sh"]
-
-EXPOSE 7860
-CMD ["/entrypoint.sh"]

README.md

@@ -447,7 +447,7 @@ class SlowPathHandler:
 ## 🚀 Deployment
 
 ### Hugging Face Spaces
-- **Space:** `davidtran999/hue-portal-backend`
+- **Space:** `davidtran999/hue-portal-backend-v2`
 - **SDK:** Docker
 - **Resources:** CPU, 16GB RAM (free tier)
 - **Database:** Railway PostgreSQL (external)