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.

run_helper.py

@@ -64,6 +64,14 @@ async def main():
         logger.info("Останавливаем планировщик автоматического разбана...")
         auto_unban_scheduler.stop_scheduler()
         
+        # Останавливаем планировщик метрик
+        try:
+            from helper_bot.utils.metrics_scheduler import stop_metrics_scheduler
+            stop_metrics_scheduler()
+            logger.info("Планировщик метрик остановлен")
+        except Exception as e:
+            logger.error(f"Ошибка при остановке планировщика метрик: {e}")
+        
         # Метрики останавливаются в main.py
         
         logger.info("Останавливаем задачи...")