fix: 优化边缘端稳定性和日志管理

1. database.py: 优化数据库连接和错误处理
2. postprocessor.py: 改进后处理逻辑
3. result_reporter.py: 完善告警上报字段
4. video_stream.py: 增强视频流稳定性
5. main.py: 优化启动流程和异常处理
6. logger.py: 改进日志格式和轮转配置

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

core/postprocessor.py

@@ -728,9 +728,18 @@ class PostProcessor:
         
         if len(batch_outputs) == 1:
             first_output = batch_outputs[0]
-            if isinstance(first_output, np.ndarray) and first_output.ndim == 3:
-                if first_output.shape[0] == batch_size:
+            if isinstance(first_output, np.ndarray):
+                if first_output.ndim == 3 and first_output.shape[0] == batch_size:
+                    # 已经是 (batch, 84, anchors) 格式
                     outputs_array = first_output
+                elif first_output.ndim == 1:
+                    # TensorRT 返回扁平 1D 数组，需要 reshape 为 (batch, 84, anchors)
+                    per_image = first_output.shape[0] // batch_size
+                    num_anchors = per_image // 84
+                    outputs_array = first_output.reshape(batch_size, 84, num_anchors)
+                elif first_output.ndim == 2:
+                    # (84, anchors) 单张图的输出
+                    outputs_array = first_output.reshape(1, first_output.shape[0], first_output.shape[1])
                 else:
                     outputs_array = first_output
             else:

core/result_reporter.py

@@ -195,25 +195,31 @@ class ResultReporter:
             是否上报成功
         """
         self._performance_stats["alerts_generated"] += 1
-        
+
+        # MQTT 发布和本地存储独立执行，互不影响
+        mqtt_ok = False
         try:
-            if store_to_db and self._db_manager:
-                self._store_alert(alert, screenshot)
-            
             if self._connected and self._client:
                 self._publish_alert(alert)
+                mqtt_ok = True
             else:
                 self._logger.warning("MQTT 未连接，消息已加入待发送队列")
                 if self._local_cache:
                     self._local_cache.cache_alert(alert.to_dict())
-            
-            self._performance_stats["alerts_sent"] += 1
-            return True
-            
         except Exception as e:
             self._performance_stats["send_failures"] += 1
-            self._logger.error(f"上报告警失败: {e}")
-            return False
+            self._logger.error(f"MQTT 发布告警失败: {e}")
+
+        try:
+            if store_to_db and self._db_manager:
+                self._store_alert(alert, screenshot)
+        except Exception as e:
+            self._logger.error(f"本地存储告警失败: {e}")
+
+        if mqtt_ok:
+            self._performance_stats["alerts_sent"] += 1
+
+        return mqtt_ok
     
     def _store_alert(self, alert: AlertInfo, screenshot: Optional[np.ndarray] = None):
         """存储告警到本地数据库（异步）"""

core/video_stream.py

@@ -409,11 +409,18 @@ class MultiStreamManager:
             self._streams[camera_id].start()
     
     def start_all(self):
-        """启动所有视频流"""
+        """启动所有视频流（跳过连接失败的流）"""
         with self._lock:
-            for stream in self._streams.values():
-                stream.start()
-            self._logger.info(f"已启动 {len(self._streams)} 个视频流")
+            failed = []
+            for camera_id, stream in self._streams.items():
+                try:
+                    stream.start()
+                except Exception as e:
+                    self._logger.warning(f"视频流启动失败，跳过: {camera_id} - {e}")
+                    failed.append(camera_id)
+            started = len(self._streams) - len(failed)
+            self._logger.info(f"已启动 {started}/{len(self._streams)} 个视频流"
+                              + (f"，{len(failed)} 个失败" if failed else ""))
     
     def stop_stream(self, camera_id: str):
         """停止指定视频流"""