added the logging about prompting to check

chat_handler.py

@@ -116,7 +116,7 @@ class ChatHandler:
             <h3 style='color: #63b3ed; margin-top: 0;'>Ответ (Модель: {current_model}):</h3>
             <div style='line-height: 1.6; font-size: 16px;'>{response.response}</div>
             <div style='margin-top: 15px; padding-top: 10px; border-top: 1px solid #4a5568; font-size: 14px; color: #a0aec0;'>
-            Время обработки: {processing_time:.2f} секунд | Источников: {len(retrieved_nodes)}
+            Время обработки: {processing_time:.2f} секунд 
             </div>
             </div>"""
             

index_retriever.py

@@ -79,40 +79,62 @@ class IndexRetriever:
             return False
 
     def create_query_engine(self):
-        try:
-            bm25_retriever = BM25Retriever.from_defaults(
-                docstore=self.vector_index.docstore, 
-                similarity_top_k=15
-            )
-            
-            vector_retriever = VectorIndexRetriever(
-                index=self.vector_index, 
-                similarity_top_k=20,
-                similarity_cutoff=0.5
-            )
-            
-            hybrid_retriever = QueryFusionRetriever(
-                [vector_retriever, bm25_retriever],
-                similarity_top_k=30,
-                num_queries=1
-            )
-            
-            custom_prompt_template = PromptTemplate(self.config.PROMPT_SIMPLE_POISK)
-            response_synthesizer = get_response_synthesizer(
-                response_mode=ResponseMode.TREE_SUMMARIZE,
-                text_qa_template=custom_prompt_template
-            )
-            
-            self.query_engine = RetrieverQueryEngine(
-                retriever=hybrid_retriever,
-                response_synthesizer=response_synthesizer
-            )
-            
-            log_message("Query engine успешно создан")
-            
-        except Exception as e:
-            log_message(f"Ошибка создания query engine: {str(e)}")
-            raise
+            try:
+                log_message(f"Применяется промпт: {self.config.PROMPT_SIMPLE_POISK[:100]}...")
+                
+                bm25_retriever = BM25Retriever.from_defaults(
+                    docstore=self.vector_index.docstore, 
+                    similarity_top_k=15
+                )
+                
+                vector_retriever = VectorIndexRetriever(
+                    index=self.vector_index, 
+                    similarity_top_k=20,
+                    similarity_cutoff=0.5
+                )
+                
+                hybrid_retriever = QueryFusionRetriever(
+                    [vector_retriever, bm25_retriever],
+                    similarity_top_k=30,
+                    num_queries=1
+                )
+                
+                custom_prompt_template = PromptTemplate(self.config.PROMPT_SIMPLE_POISK)
+                response_synthesizer = get_response_synthesizer(
+                    response_mode=ResponseMode.TREE_SUMMARIZE,
+                    text_qa_template=custom_prompt_template
+                )
+                
+                self.query_engine = RetrieverQueryEngine(
+                    retriever=hybrid_retriever,
+                    response_synthesizer=response_synthesizer
+                )
+                
+                log_message("Query engine успешно создан с кастомным промптом")
+                
+            except Exception as e:
+                log_message(f"Ошибка создания query engine: {str(e)}")
+                raise
+
+            def query(self, question):
+                """Метод для выполнения запроса с применением промпта"""
+                if self.query_engine is None:
+                    log_message("❌ Query engine не инициализирован")
+                    return "❌ Система не инициализирована"
+                
+                try:
+                    log_message(f"Обрабатываю запрос: {question}")
+                    log_message(f"Используется промпт: {self.config.PROMPT_SIMPLE_POISK[:100]}...")
+                    
+                    response = self.query_engine.query(question)
+                    log_message(f"Ответ получен, длина: {len(str(response))}")
+                    
+                    return str(response)
+                    
+                except Exception as e:
+                    error_msg = f"Ошибка обработки запроса: {str(e)}"
+                    log_message(error_msg)
+                    return f"❌ {error_msg}"
 
     def switch_model(self, model_name):
         try: