update Decoder

Zmq/zmqServer.py

@@ -96,6 +96,7 @@ class zmqServer(threading.Thread):
         self.pack_contain_event = False
         self.event_inner_idx = -1
         self.interval_inited = False
+        self.last_epoch_finish_time = None
 
     def reset_state(self):
         """清空采集器状态和缓存数据"""
@@ -119,11 +120,11 @@ class zmqServer(threading.Thread):
             self.train_latency = (self.train_epoch[1] + 0.1 * self.device_info['sample_rate']) // 5    #120包  600个点
 
         elif decoder_class == 'mi':
-            interval_epoch = ast.literal_eval(IniRead('system', 'MI_IntervalEpoch'))
-            self.interval_epoch = [int(i * self.device_info['sample_rate']) for i in interval_epoch]
+            interval_epoch = ast.literal_eval(IniRead('system', 'MI_IntervalEpoch'))  # [0.5, 4.5]
+            self.interval_epoch = [int(i * self.device_info['sample_rate']) for i in interval_epoch]  #[125, 1125]
             self.train_epoch = self.interval_epoch.copy()
-            self.latency = self.interval_epoch[1] // 5
-            self.train_latency = self.latency
+            self.latency = self.interval_epoch[1] // 5  #225
+            self.train_latency = self.latency    #225
 
         algo_log(f"时间窗初始化完成: {interval_epoch}", level="INFO")
         self.count_events: Dict[str, int] = {}
@@ -325,8 +326,22 @@ class zmqServer(threading.Thread):
                     if self.pack_contain_event:
                         self.paradigmBuffer.resetAllPara()
                     self.paradigmBuffer.appendBuffer(data_np)
+                    
                     if self.epoch_finished:
-                        algo_log('Epoch采集完成: ' + datetime.datetime.now().strftime('%H:%M:%S.%f')[:-3], level="DEBUG")
+                        now = datetime.datetime.now()
+                        time_diff_str = ""
+                        # 计算与上一次Epoch完成的时间差
+                        if self.last_epoch_finish_time is not None:
+                            # 时间差 单位：秒，保留3位小数
+                            delta_seconds = (now - self.last_epoch_finish_time).total_seconds()
+                            time_diff_str = f" | 与上一次间隔: {delta_seconds:.3f} s"
+                        
+                        # 拼接日志，增加时间差信息
+                        log_msg = f"Epoch采集完成: {now.strftime('%H:%M:%S.%f')[:-3]}{time_diff_str}"
+                        algo_log(log_msg, level="DEBUG")
+                        
+                        # 更新上一次Epoch完成时间为当前时间
+                        self.last_epoch_finish_time = now
                 else:
                     self.paradigmBuffer.appendBuffer(data_np)