Enhance metrics handling and logging in bot

- Integrated metrics scheduler start and stop functionality in `run_helper.py` for better resource management.
- Improved logging for metrics server operations in `server_prometheus.py`, ensuring clearer error reporting and status updates.
- Updated metrics middleware to collect comprehensive metrics for all event types, enhancing monitoring capabilities.
- Added active user metrics tracking in `admin_handlers.py` to provide insights on user engagement.
- Refactored command and callback handling in `metrics_middleware.py` to improve clarity and error handling.

helper_bot/handlers/admin/admin_handlers.py

@@ -383,11 +383,19 @@ async def test_metrics_handler(
         else:
             active_users = "N/A"
         
+        # ВАЖНО: Записываем метрику активных пользователей
+        if isinstance(active_users, int):
+            metrics.set_active_users(active_users, "daily")
+            metrics.set_active_users(active_users, "total")
+        
         await message.answer(
             f"✅ Тестовые метрики записаны\n"
             f"📊 Активных пользователей: {active_users}\n"
-            f"🔧 Проверьте Prometheus метрики"
+            f"🔧 Проверьте Prometheus метрики\n"
+            f"📈 Метрика active_users обновлена"
         )
         
     except Exception as e:
         await message.answer(f"❌ Ошибка тестирования метрик: {e}")
+        # Записываем ошибку в метрики
+        metrics.record_error(str(type(e).__name__), "admin_handler", "test_metrics_handler")