dev 1

Decoder.py

@@ -21,8 +21,8 @@ from SSVEP.dwfbcca import FbccaDw
 from Tools.plot_MI_EEG import plotMain
 from collections import deque
 
-class Decoder_main(threading.Thread):
-    def __init__(self):
+class Decoder_main(threading.Thread, device_type):
+    def __init__(self, device_type=None):
         threading.Thread.__init__(self)
         self.Runing=True
         self.decoder = None
@@ -33,6 +33,11 @@ class Decoder_main(threading.Thread):
         self.decoder_class = None #解码器类别
 
         self.decodingSteps = 0  # 0=停止解码 1=预热 2=解码中 3=解码完成，发送解码结果
+        self.device_info = {
+            'device_type': None,
+            'sample_rate': None,
+            'channel_num': None,
+        }
 
     def connect(self, device_type=None, device_host=None, device_port=None, upper_host=None, upper_port=None):
         self.DeviceType = device_type if device_type is not None else int(IniRead('system', 'Device_type'))
@@ -113,40 +118,40 @@ class Decoder_main(threading.Thread):
 
             self.parameter_init(8, 30)
 
-        elif decoder_class == 'concentration':
-            self.thread_data_server.interval_inited = False
-            self.n_chan = 6
-            self.win_len = 10
-            self.win_step = 1
-            self.low_threshold, self.high_threshold = ast.literal_eval(IniRead('system', 'concentration_ThresholdValue'))
-            self.calculate = Calculate(self.low_threshold, self.high_threshold, self.fs, self.win_len)
-            self.interval_epoch = [0, 1]
-            self.parameter_init(2, 40)
-            # self.eegQueue moved to Calculate class
+        # elif decoder_class == 'concentration':
+        #     self.thread_data_server.interval_inited = False
+        #     self.n_chan = 6
+        #     self.win_len = 10
+        #     self.win_step = 1
+        #     self.low_threshold, self.high_threshold = ast.literal_eval(IniRead('system', 'concentration_ThresholdValue'))
+        #     self.calculate = Calculate(self.low_threshold, self.high_threshold, self.fs, self.win_len)
+        #     self.interval_epoch = [0, 1]
+        #     self.parameter_init(2, 40)
+        #     # self.eegQueue moved to Calculate class
 
-        elif decoder_class == 'blink':
-            self.n_chan = 2
-            self.l_freq = 0.1  # 带通滤波器低频截止
-            self.h_freq = 8.0  # 带通滤波器高频截止
-            self.total_samples = 0  # 总采样点数
-            self.window_ms = 600  # 检测窗口大小 (ms)
-            self.step_ms = 100  # 滑动步长 (ms)
-            self.window_samples = int(self.window_ms * self.fs / 1000)  # 150个样本点
-            self.step_samples = int(self.step_ms * self.fs / 1000)  # 25个样本点
-            self.buffer_size = self.window_samples + self.step_samples * 5
-            self.fp1_buffer = deque(maxlen=self.buffer_size)
-            self.fp2_buffer = deque(maxlen=self.buffer_size)
-            self.sample_counter = 0
-            # 预计算滤波器系数，避免在循环中重复设计
-            self.Dmin, self.Dmax, self.EMin, self.EMax, self.jitterwin,self.double_blink_interval,self.double_blink_jitter = ast.literal_eval(IniRead('system', 'blink'))
-            self.blink_count = 0     # 单次眨眼的次数
-            self.last_blink_time = 0  # 上次检测到单次眨眼的时间（样本索引）
-            self.blink_timestamps = deque(maxlen=10)  # 记录最近10次   单次眨眼的时间戳
-            self.double_blink_count = 0  # 连续两次眨眼的次数
-            self.double_blink_events = []  # 连续眨眼事件记录
-            self.last_double_blink_time = 0  # 上次检测到连续眨眼的时间戳
-            self.blink_events = []
-            self.blink_b, self.blink_a = signal.butter(4, [self.l_freq / (self.fs / 2), self.h_freq / (self.fs / 2)], btype='band')
+        # elif decoder_class == 'blink':
+        #     self.n_chan = 2
+        #     self.l_freq = 0.1  # 带通滤波器低频截止
+        #     self.h_freq = 8.0  # 带通滤波器高频截止
+        #     self.total_samples = 0  # 总采样点数
+        #     self.window_ms = 600  # 检测窗口大小 (ms)
+        #     self.step_ms = 100  # 滑动步长 (ms)
+        #     self.window_samples = int(self.window_ms * self.fs / 1000)  # 150个样本点
+        #     self.step_samples = int(self.step_ms * self.fs / 1000)  # 25个样本点
+        #     self.buffer_size = self.window_samples + self.step_samples * 5
+        #     self.fp1_buffer = deque(maxlen=self.buffer_size)
+        #     self.fp2_buffer = deque(maxlen=self.buffer_size)
+        #     self.sample_counter = 0
+        #     # 预计算滤波器系数，避免在循环中重复设计
+        #     self.Dmin, self.Dmax, self.EMin, self.EMax, self.jitterwin,self.double_blink_interval,self.double_blink_jitter = ast.literal_eval(IniRead('system', 'blink'))
+        #     self.blink_count = 0     # 单次眨眼的次数
+        #     self.last_blink_time = 0  # 上次检测到单次眨眼的时间（样本索引）
+        #     self.blink_timestamps = deque(maxlen=10)  # 记录最近10次   单次眨眼的时间戳
+        #     self.double_blink_count = 0  # 连续两次眨眼的次数
+        #     self.double_blink_events = []  # 连续眨眼事件记录
+        #     self.last_double_blink_time = 0  # 上次检测到连续眨眼的时间戳
+        #     self.blink_events = []
+        #     self.blink_b, self.blink_a = signal.butter(4, [self.l_freq / (self.fs / 2), self.h_freq / (self.fs / 2)], btype='band')
 
     def parameter_init(self,bandPass_low,bandPass_high):
         self.interval_epoch = [int(i * self.fs) for i in self.interval_epoch]  # epoch截取信息

PubLibrary/InifileHelper.py

@@ -4,27 +4,65 @@ import os
 import sys
 from audioop import error
 
-BASE_DIR = os.getcwd()
-IniFileName = os.path.join(BASE_DIR, 'config.ini')
-# IniFileName=os.path.join( 'config.ini')
+
+def get_config_paths():
+    """返回所有可能的 config.ini 路径（按优先级排序）"""
+    paths = []
+
+    # 1. exe 同级目录（用户手动放置或外部修改）
+    exe_dir = os.path.dirname(sys.executable) if getattr(sys, 'frozen', False) else None
+    if exe_dir:
+        paths.append(os.path.join(exe_dir, 'config.ini'))
+
+    # 2. PyInstaller 资源目录 (_MEIPASS，打包时 datas 复制进来的)
+    meipass = getattr(sys, '_MEIPASS', None)
+    if meipass:
+        paths.append(os.path.join(meipass, 'config.ini'))
+
+    # 3. PubLibrary 目录下（优先查找）
+    pub_dir = os.path.dirname(os.path.abspath(__file__))
+    pub_path = os.path.join(pub_dir, 'config.ini')
+    if pub_path not in paths:
+        paths.append(pub_path)
+
+    # 4. 项目根目录下（开发环境备用）
+    project_root = os.path.dirname(pub_dir)
+    root_path = os.path.join(project_root, 'config.ini')
+    if root_path not in paths:
+        paths.append(root_path)
+
+    return paths
+
 
 def IniWrite(section, keyname, value):
-    # 创建ConfigParser对象
+    exe_dir = os.path.dirname(sys.executable) if getattr(sys, 'frozen', False) else None
+    base_dir = exe_dir if exe_dir else os.path.dirname(os.path.abspath(__file__))
+    IniFileName = os.path.join(base_dir, 'config.ini')
+
     config = configparser.ConfigParser()
-    config.read(IniFileName,encoding='utf-8')
-    with open(IniFileName, 'w') as configfile:
+    try:
+        with open(IniFileName, 'r', encoding='utf-8') as f:
+            config.read_file(f)
+    except FileNotFoundError:
+        pass
+    with open(IniFileName, 'w', encoding='utf-8') as configfile:
         if not config.has_section(section):
             config.add_section(section)
         config[section][keyname] = str(value)
         config.write(configfile)
 
-def IniRead(section,key):
+def IniRead(section, key, default=None):
+    fallback = default if default is not None else '5'
 
+    for path in get_config_paths():
+        if os.path.exists(path):
             try:
                 config = configparser.ConfigParser()
-        config.read(IniFileName,encoding='utf-8')
+                with open(path, 'r', encoding='utf-8') as f:
+                    config.read_file(f)
+                if config.has_section(section):
+                    # print(f"[IniRead] 找到配置 [{section}] {key} -> {config[section][key]} (来源: {path})")
                     return config[section][key]
-    except error as e:
-        print(e)
-    # 读取特定section和键的值
-        return '5'
+            except Exception as e:
+                print(f"[IniRead] 读取失败 {path}: {e}")
+    return fallback

Zmq/dataBuffer.py

@@ -0,0 +1,77 @@
+# -*-coding:utf-8 -*-
+"""
+范式buffer和滤波buffer, 以及滤波函数
+"""
+import numpy as np
+from scipy import signal
+import threading
+
+class ParadigmRingBuffer:
+    def __init__(self, n_chan, n_points):
+        self.n_chan = n_chan
+        self.n_points = n_points
+        self.buffer = np.zeros((n_chan, n_points))
+        self.currentPtr = 0
+        self.readPtr = 0
+        self.nUpdate = 0
+        self.rawData = np.zeros((n_chan, 1))
+
+    ## append buffer and update current pointer
+    def appendBuffer(self, data):
+        if self.nUpdate == self.n_points:
+            raise Exception("Buffer is full")
+
+        n = data.shape[1]
+
+        # 计算可以写入的元素数量
+        write_count = min(self.n_points - self.nUpdate, n)
+        # 写入新数据
+        self.buffer[:, np.mod(np.arange(self.currentPtr, self.currentPtr + write_count), self.n_points)] = data[:,:write_count]
+        # 更新结束指针
+        self.currentPtr = (self.currentPtr + write_count) % self.n_points
+        # 更新大小
+        self.nUpdate += write_count
+
+    ## get data from buffer
+    def getData(self, count=50):
+        # 确保不会尝试读取超过缓冲区当前大小的数据
+        count = min(count, self.nUpdate)
+
+        # 计算读取结束后的下一个位置
+        next_read_ptr = (self.readPtr + count) % self.n_points
+        if self.readPtr + count <= self.n_points:
+            # 情况 1：不环绕，数据是连续的
+            end_index = next_read_ptr if next_read_ptr != 0 else self.n_points
+            data = self.buffer[:, self.readPtr:end_index]
+        else:
+            # 情况 2：发生环绕，数据被分成两部分
+            # 第一部分：从 readPtr 到缓冲区末尾
+            part1 = self.buffer[:, self.readPtr:]
+            # 第二部分：从缓冲区开头到 (count - part1.shape[1]) 个点
+            part2 = self.buffer[:, :next_read_ptr]
+            # 将两部分在列方向上拼接
+            data = np.concatenate((part1, part2), axis=1)
+
+        # 更新读指针
+        self.readPtr = next_read_ptr
+        # 更新大小
+        self.nUpdate -= count
+        return data
+
+    def GetDataLenCount(self):
+        '''
+        获取最新缓存中每个通道的数量
+        @return:
+        '''
+        return self.nUpdate
+
+
+    # reset buffer
+    def resetAllPara(self):
+        self.nUpdate = 0
+        self.currentPtr = 0
+        self.readPtr = 0  # add by lizhenhua 清空读指针
+        self.buffer = np.zeros((self.n_chan, self.n_points))  # add by lizhenhua 清空环形缓冲区
+        
+
+

Zmq/filterProcess.py

@@ -0,0 +1,208 @@
+# -*-coding:utf-8 -*-
+"""
+数据滤波模块
+"""
+import numpy as np
+import threading
+from logs.log import algo_log
+
+class FilterRingBuffer:
+    def __init__(self, n_chan, n_points):
+        """
+        初始化纯数据环形缓存
+        :param n_chan: 通道数
+        :param n_points: 总缓存点数（与paradigmRingBuffer参数完全一致）
+        """
+        self.n_chan = n_chan
+        self.n_points = n_points
+
+        self.buffer = np.zeros((n_chan, n_points), dtype=np.float64)
+        self.current_ptr = 0  # 写入指针
+        self.total_samples = 0  # 已写入总点数
+        
+        # 线程安全锁（多线程环境必须）
+        self.lock = threading.Lock()
+
+    def appendBuffer(self, data):
+        """
+        追加数据到缓存（与paradigmRingBuffer接口一致）
+        :param data: 输入数据，shape=(n_chan, n_samples)
+        """
+        with self.lock:
+            n = data.shape[1]
+            if n == 0:
+                return
+            
+            # 环形写入逻辑
+            write_end = self.current_ptr + n
+            if write_end <= self.n_points:
+                self.buffer[:, self.current_ptr:write_end] = data
+            else:
+                split = self.n_points - self.current_ptr
+                self.buffer[:, self.current_ptr:] = data[:, :split]
+                self.buffer[:, :write_end - self.n_points] = data[:, split:]
+            
+            # 更新指针和计数
+            self.current_ptr = write_end % self.n_points
+            self.total_samples = min(self.total_samples + n, self.n_points)
+
+    def getData(self, count):
+        """
+        从读指针位置读取count个点（与paradigmRingBuffer接口一致）
+        :param count: 读取点数
+        :return: np.ndarray, shape=(n_chan, count)
+        """
+        with self.lock:
+            count = min(count, self.total_samples)
+            if count == 0:
+                return np.zeros((self.n_chan, 0))
+            
+            # 环形读取逻辑（与paradigmRingBuffer完全相同）
+            end = self.current_ptr
+            start = end - count
+            if start >= 0:
+                return self.buffer[:, start:end].copy()
+            else:
+                part1 = self.buffer[:, start:]
+                part2 = self.buffer[:, :end]
+                return np.concatenate((part1, part2), axis=1)
+
+    def get_latest_n_points(self, n):
+        """
+        扩展方法：获取最新的n个点（不移动读指针，用于滑动窗口）
+        :param n: 点数
+        :return: np.ndarray, shape=(n_chan, n)
+        """
+        with self.lock:
+            if self.total_samples < n:
+                return None
+            return self.getData(n)
+
+    def GetDataLenCount(self):
+        """获取当前缓存总点数（兼容原有接口）"""
+        with self.lock:
+            return self.total_samples
+
+    def resetAllPara(self):
+        """重置所有缓存和指针（兼容原有接口）"""
+        with self.lock:
+            self.buffer.fill(0.0)
+            self.current_ptr = 0
+            self.total_samples = 0
+
+# -----------------------------------------------------------------------------
+# 2. 独立滑动滤波类（仅负责滤波业务逻辑，不关心缓存实现）
+# 可替换任意缓存实现，只要实现appendBuffer、get_latest_n_points接口
+# -----------------------------------------------------------------------------
+class SlidingFilter:
+    def __init__(
+        self,
+        n_chan=66,
+        srate=250,
+        buffer_sec=5,
+        window_sec=3,
+        step_sec=0.2,
+        packet_size=5
+    ):
+        """
+        初始化滑动滤波器
+        :param n_chan: 通道数
+        :param srate: 采样率
+        :param buffer_sec: 总缓存时长（秒）
+        :param window_sec: 滤波窗口时长（秒）
+        :param step_sec: 滑动步长/输出时长（秒）
+        :param packet_size: 每包数据点数（20ms一包=5点）
+        """
+        # 核心参数
+        self.n_chan = n_chan
+        self.srate = srate
+        self.buffer_size = int(srate * buffer_sec)
+        self.window_size = int(srate * window_sec)
+        self.step_size = int(srate * step_sec)
+        self.packet_size = packet_size
+        
+        # 初始化纯数据缓存（解耦核心）
+        self.buffer = FilterRingBuffer(n_chan, self.buffer_size)
+        
+        # 滤波触发计数器
+        self.packet_count = 0
+        self.ready_to_filter = False
+        
+        # 预计算滤波器系数
+        self._init_filters()
+
+    def _init_filters(self):
+        """预计算所有滤波器系数（仅执行一次）"""
+        # 50Hz工频陷波（Q=30，工业标准）
+        self.b_notch, self.a_notch = signal.iirnotch(50, 30, self.srate)
+        # 8~30Hz带通FIR（65阶，线性相位）
+        self.b_bp = signal.firwin(
+            numtaps=65,
+            cutoff=[8/(self.srate/2), 30/(self.srate/2)],
+            pass_zero=False,
+            window='hamming'
+        )
+        self.a_bp = np.array([1.0])
+
+    def append_and_check_trigger(self, raw_data):
+        """
+        追加单包原始数据并检查是否触发滤波
+        :param raw_data: 上位机原始数据，shape=(packet_size, n_chan)
+        :return: bool: 是否触发本次滤波
+        """
+        # 转置为标准格式：(通道数, 点数)
+        data = raw_data.T.astype(np.float64)
+        
+        # 写入缓存（纯缓存操作）
+        self.buffer.appendBuffer(data)
+        
+        # 更新包计数器
+        self.packet_count += 1
+        
+        # 检查滤波触发条件：数据≥窗口长度 且 累计满一个步长的包数
+        packets_per_step = int(self.step_size / self.packet_size)  # 10包=200ms
+        if (self.buffer.GetDataLenCount() >= self.window_size 
+            and self.packet_count >= packets_per_step):
+            self.packet_count = 0
+            self.ready_to_filter = True
+            return True
+        return False
+
+    def filter_and_get_output(self):
+        """
+        执行滤波并返回无边界效应的输出数据
+        :return: np.ndarray: 滤波后数据，shape=(n_chan, step_size)
+        """
+        if not self.ready_to_filter:
+            return None
+        
+        # 获取最新的完整滤波窗口数据
+        window_data = self.buffer.get_latest_n_points(self.window_size)
+        if window_data is None:
+            self.ready_to_filter = False
+            return None
+        
+        # 零相位滤波（无延迟，无边界效应）
+        filtered = window_data - np.mean(window_data, axis=-1, keepdims=True)
+        filtered = signal.filtfilt(self.b_notch, self.a_notch, filtered, axis=-1)
+        filtered = signal.filtfilt(self.b_bp, self.a_bp, filtered, axis=-1)
+        
+        # 提取倒数第二个步长的数据（完全避开两端边界效应）
+        start_idx = self.window_size - 2 * self.step_size
+        end_idx = self.window_size - self.step_size
+        output_data = filtered[:, start_idx:end_idx].copy()
+        
+        # 重置触发标志
+        self.ready_to_filter = False
+        
+        return output_data
+
+    def reset(self):
+        """重置滤波器和缓存"""
+        self.buffer.resetAllPara()
+        self.packet_count = 0
+        self.ready_to_filter = False
+
+    def get_buffer_length(self):
+        """获取当前缓存数据长度"""
+        return self.buffer.GetDataLenCount()

Zmq/zmqServer.py

@@ -3,91 +3,95 @@ import zmq
 import threading
 import json
 import queue
-from Device.SunnyLinker import SunnyLinker64
+# from Device.SunnyLinker import SunnyLinker64
+from dataBuffer import ParadigmRingBuffer
+from filterProcess import FilterRingBuffer
+from logs.log import algo_log
 
 class zmqServer(threading.Thread):
-    def __init__(self, host='0.0.0.0', port=8099):
+    def __init__(self, host='0.0.0.0', cmd_port=8099, data_port=8100, device_info=None):
         threading.Thread.__init__(self)
         self.host = host
-        self.port = port
+        self.cmd_port = cmd_port    # 命令交互端口
+        self.data_port = data_port  # 数据接收端口
         self.running = False
-        self.get_Impedance = False  # 是否返回阻抗值
-        self.open_Impedance = None  # 是否开启阻抗检测功能
+        
+        # 原有业务状态变量
+        # self.get_Impedance = False  # 是否返回阻抗值
+        # self.open_Impedance = None  # 是否开启阻抗检测功能
         self.StartDecode = False    # false 停止解码，true=开始解码
         self.StartTrain = False     # False未进入训练状态，True处于训练状态
         self.state_mode = None      # 'train'为训练状态，’rest'为休息状态,'test'为测试状态
         self.currentLabel = -1      # 接收刺激端消息，了解刺激端当前的训练标签
         self.IsExitApp = False      # 当socket收到2的时候，就置为True，代表要退出系统了。
-        self.getReport = False  # 获取训练报告内容
+        # self.getReport = False      # 获取训练报告内容
         self.daemon = True
-        # 创建 ZeroMQ 上下文
+        
+        # 范式数据缓存
+        self.paradigmBuffer = ParadigmRingBuffer(66, 2500)
+        self.filterBuffer = FilterRingBuffer(66, 2500)
+        
+        
+        # 命令与数据通信
         self.context = zmq.Context()
-        # 创建 REP 套接字（响应端）
-        self.socket = self.context.socket(zmq.ROUTER)
-        self.socket.bind(f"tcp://{self.host}:{self.port}")  # 绑定到端口 8099
+        # 指令通道 (8099) - ROUTER：短JSON命令，低频率
+        self.cmd_socket = self.context.socket(zmq.ROUTER)
+        self.cmd_socket.setsockopt(zmq.RCVHWM, 100)   # 指令不需要大缓存，100条足够
+        self.cmd_socket.setsockopt(zmq.SNDHWM, 100)
+        self.cmd_socket.setsockopt(zmq.TCP_NODELAY, 1) # 禁用Nagle算法，降低指令延迟
+        self.cmd_socket.bind(f"tcp://{self.host}:{cmd_port}")
+
+        # 数据通道 (8100) - ROUTER：高频脑电二进制流
+        self.data_socket = self.context.socket(zmq.ROUTER)
+        self.data_socket.setsockopt(zmq.RCVHWM, 500)  # 500包=10秒缓存，足够应对短时卡顿
+        self.data_socket.setsockopt(zmq.TCP_NODELAY, 1) # 禁用Nagle算法，减少数据传输延迟
+        self.data_socket.bind(f"tcp://{self.host}:{data_port}")
+
+        # Poller 轮训器（保持不变）
+        self.poller = zmq.Poller()
+        self.poller.register(self.cmd_socket, zmq.POLLIN)
+        self.poller.register(self.data_socket, zmq.POLLIN)
+        
+        # 业务变量
         self.targetFreqs = []
         self.changeTarget = False  # 更换目标频率
-        self.sunnyLinker = SunnyLinker64(None, None, None, None,None) #单例模式类，已在Decoder实例化
+        # self.sunnyLinker = SunnyLinker64(None, None, None, None,None) #单例模式类，已在Decoder实例化
         self.labels = [0x01, 0x02,0x03]
-
         self.decoder_switch = False #更换解码器
         self.decoder_class = None #解码器类别 'ssvep','ssmvep','mi'
-        # Client Management (e.g. Unity, Other listeners)
-        self.clients = set()             # 维护客户端ID
-        self.send_queue = queue.Queue()       # 发送队列，安全信箱，维护socket线程
+        
+        # 客户端管理 - 区分命令/数据客户端
+        self.cmd_clients = set()    # 命令端口客户端ID
+        self.data_clients = set()   # 数据端口客户端ID
+        self.send_queue = queue.Queue()  # 发送队列（仅用于命令端口广播）
 
     def broadcast_message(self, method, params):
-        """Put message into queue to be sent to all connected clients"""
+        """Put message into queue to be sent to all command clients"""
         self.send_queue.put((method, params))
 
-    def run(self):
-        self.running = True
-        print(f"Server is running on {self.host}:{self.port}")
-        # Use Poller for non-blocking receive
-        poller = zmq.Poller()
-        poller.register(self.socket, zmq.POLLIN)
-        try:
-            while self.running:
-                # 1. Process Send Queue (Send to all clients)
-                while not self.send_queue.empty():
-                    method, params = self.send_queue.get()
-                    if self.clients:
-                        try:
-                            msg = {'method': method, 'params': params}
-                            msg_bytes = json.dumps(msg).encode('utf-8')
-                            if method in ['single_trial_plot', 'single_trial_plot', 'miReport']:
-                                print(f"{{'method': '{method}', 'params': <Base64 Image Data>}}")
-                            else:
-                                print(f"Sending message: {msg}")
-                            # Broadcast to all maintained clients
-                            for client_id in list(self.clients):
-                                try:
-                                    # Send: [ID, Empty, JSON]
-                                    self.socket.send_multipart([client_id, b'', msg_bytes])
-                                except Exception as e:
-                                    print(f"Error sending to client {client_id}: {e}")
-                        except Exception as e:
-                            print(f"Error preparing broadcast: {e}")
-
-                # 2. Process Receive (Commands)
-                socks = dict(poller.poll(10)) # 100ms timeout
-                if self.socket in socks and socks[self.socket] == zmq.POLLIN:
-                    frames = self.socket.recv_multipart()
+    def _handle_cmd_message(self, frames):
+        """处理命令端口消息（原有命令交互逻辑）"""
         if len(frames) < 3:
-                        continue
+            return
         ident, _, message_bytes = frames[:3]
-                    if ident not in self.clients:    # register client ID
-                        self.clients.add(ident)
-                        print(f"New Client Detected: {ident}")
+        
+        # 注册新的命令客户端
+        if ident not in self.cmd_clients:
+            self.cmd_clients.add(ident)
+            print(f"New CMD Client Connected: {ident} (port: {self.cmd_port})")
+        
+        # 解析消息
         try:
             message = json.loads(message_bytes.decode('utf-8'))
         except json.JSONDecodeError:
+            print(f"Invalid JSON from CMD client {ident}")
             continue
-                    print(f"Received request: {message}")
+        print(f"Received CMD request: {message}")
 
-                    method = message.get("method")   # process request
+        method = message.get("method")
         params = message.get("params")
 
+        # 原有命令处理逻辑
         if method == "sync":
             self.state_mode = 'sync'
         if method == "targetFreqs":
@@ -121,29 +125,135 @@ class zmqServer(threading.Thread):
                 self.running = False
         elif method == "rest": #休息状态
             self.state_mode = 'rest'
-                    elif method == "impedance":
-                        if params == 1:
-                            self.open_Impedance = True  # 开启阻抗
-                            self.get_Impedance = True  # 返回阻抗
-                        elif params == 2:
-                            self.open_Impedance = False  # 关闭阻抗
-                            self.get_Impedance = False  # 停止返回阻抗
+        # elif method == "impedance":
+        #     if params == 1:
+        #         self.open_Impedance = True  # 开启阻抗
+        #         self.get_Impedance = True  # 返回阻抗
+        #     elif params == 2:
+        #         self.open_Impedance = False  # 关闭阻抗
+        #         self.get_Impedance = False  # 停止返回阻抗
+
+    def _handle_data_message(self, frames):
+        """
+        处理8100端口原始脑电二进制数据
+        固定格式：上位机发送 (5,66) float32 二维数组字节流（已转换为微伏物理量）→ 转置为 (66,5) 写入双缓冲区
+        """
+        # 1. 校验ZMQ消息帧完整性
+        if len(frames) < 3:
+            print(f"[ERROR] 无效数据帧：长度不足3帧，实际长度={len(frames)}")
+            return
+        
+        ident, _, data_bytes = frames[:3]
+
+        # 2. 客户端管理（单客户端场景，自动更新最新身份）
+        if ident not in self.data_clients:
+            self.data_clients.add(ident)
+            self.current_data_client = ident  # 保存唯一客户端身份，用于后续回复滤波结果
+            print(f"[INFO] 新数据客户端连接成功：{ident}")
+
+        try:
+            # 3. 精确长度校验（核心：固定(5,66) float32 = 5*66*4=1320字节，与int32字节数相同）
+            EXPECTED_BYTES = 5 * 66 * 4  # 每个float32占4字节
+            if len(data_bytes) != EXPECTED_BYTES:
+                print(f"[ERROR] 数据长度错误：期望{EXPECTED_BYTES}字节，实际{len(data_bytes)}字节")
+                return
+
+            # 4. 零拷贝二进制解析 + 维度转换
+            # 步骤：字节流 → (330,) float32数组 → (5,66) 原始格式 → 转置为 (66,5) 缓冲区标准格式
+            data_np = np.frombuffer(data_bytes, dtype=np.float32)
+            # 重塑为上位机原始维度
+            data_np = data_np.reshape(5, 66)
+            # 转置为(通道数, 采样点数)标准格式，转换为float64保证滤波运算精度
+            data_np = data_np.T.astype(np.float64)
+
+            # 5. 同时写入双环形缓冲区（方法名与现有类保持一致：appendBuffer）
+            # 注意：上位机已发送微伏物理量，无需再乘以增益系数
+            self.paradigmBuffer.appendBuffer(data_np)
+            self.filterBuffer.appendBuffer(data_np)
+
+            # 生产环境必须注释！每秒50次打印会导致CPU占用飙升30%以上
+            algo_log(f"数据写入成功：shape={data_np.shape}, 范围=[{data_np.min():.2f}, {data_np.max():.2f}] μV", level="DEBUG", record_once=True)
 
         except Exception as e:
-            print(f"An socket error occurred: {e}")
+            algo_log(f"数据处理失败：{str(e)}", level="ERROR")
+            # 调试阶段临时打开，生产环境务必注释
+            import traceback
+            traceback.print_exc()
+
+    def _process_send_queue(self):
+        """处理发送队列，向所有命令客户端广播消息"""
+        while not self.send_queue.empty():
+            method, params = self.send_queue.get()
+            if self.cmd_clients:
+                try:
+                    msg = {'method': method, 'params': params}
+                    msg_bytes = json.dumps(msg).encode('utf-8')
+                    
+                    # 打印日志（隐藏大尺寸数据）
+                    if method in ['single_trial_plot', 'miReport']:
+                        print(f"{{'method': '{method}', 'params': <Base64 Image Data>}}")
+                    else:
+                        print(f"Sending CMD message: {msg}")
+                    
+                    # 广播到所有命令客户端
+                    for client_id in list(self.cmd_clients):
+                        try:
+                            self.cmd_socket.send_multipart([client_id, b'', msg_bytes])
+                        except Exception as e:
+                            print(f"Error sending to CMD client {client_id}: {e}")
+                            self.cmd_clients.discard(client_id)  # 移除失效客户端
+                except Exception as e:
+                    print(f"Error preparing broadcast: {e}")
+
+    def run(self):
+        self.running = True
+        print(f"ZMQ Server started - CMD Port: {self.cmd_port}, DATA Port: {self.data_port}")
+        
+        try:
+            while self.running:
+                # 1. 处理发送队列（命令端口广播）
+                self._process_send_queue()
+
+                # 2. 轮训监听两个Socket的输入事件（10ms超时，避免阻塞）
+                socks = dict(self.poller.poll(10))
+
+                # 处理命令端口消息
+                if self.cmd_socket in socks and socks[self.cmd_socket] == zmq.POLLIN:
+                    frames = self.cmd_socket.recv_multipart()
+                    self._handle_cmd_message(frames)
+
+                # 处理数据端口消息
+                if self.data_socket in socks and socks[self.data_socket] == zmq.POLLIN:
+                    frames = self.data_socket.recv_multipart()
+                    self._handle_data_message(frames)
+
+        except Exception as e:
+            print(f"Server error occurred: {e}")
         finally:
             self.running = False
-            # 关闭套接字和上下文
-            self.socket.close()
+            # 关闭所有Socket和上下文
+            self.cmd_socket.close()
+            self.data_socket.close()
             self.context.term()
-            print("Server socket and context closed.")
+            print("Server sockets and context closed.")
+
     def stop(self):
         """显式关闭服务器"""
         self.running = False
-        self.socket.close()
+        self.cmd_socket.close()
+        self.data_socket.close()
         self.context.term()
-        print("Server closed explicitly.")
+        print(f"Server closed explicitly - CMD Port: {self.cmd_port}, DATA Port: {self.data_port}")
 
 if __name__ == '__main__':
+    # 初始化并启动服务器（默认cmd=8099, data=8100）
     server = zmqServer()
     server.start()
+    
+    # 保持主线程运行
+    try:
+        while server.running:
+            threading.Event().wait(1)
+    except KeyboardInterrupt:
+        print("Received KeyboardInterrupt, stopping server...")
+        server.stop()

Zmq/zmqServer1.py

@@ -0,0 +1,445 @@
+import numpy as np
+import zmq
+import threading
+import json
+import queue
+import time
+from Device.SunnyLinker import SunnyLinker64, RingBuffer
+from collections import deque
+
+
+class zmqServer(threading.Thread):
+    def __init__(self, host='0.0.0.0', cmd_port=8099, data_port=8100):
+        threading.Thread.__init__(self)
+        self.host = host
+        self.cmd_port = cmd_port
+        self.data_port = data_port
+        self.running = False
+        self.get_Impedance = False
+        self.open_Impedance = None
+        self.StartDecode = False
+        self.StartTrain = False
+        self.state_mode = None
+        self.currentLabel = -1
+        self.IsExitApp = False
+        self.getReport = False
+        self.daemon = True
+
+        # ZMQ Context
+        self.context = zmq.Context()
+
+        # 指令通道 (8099) - ROUTER
+        self.cmd_socket = self.context.socket(zmq.ROUTER)
+        self.cmd_socket.setsockopt(zmq.RCVHWM, 1000)
+        self.cmd_socket.setsockopt(zmq.SNDHWM, 1000)
+        self.cmd_socket.bind(f"tcp://{self.host}:{cmd_port}")
+
+        # 数据通道 (8100)) - ROUTER
+        self.data_socket = self.context.socket(zmq.ROUTER)
+        self.data_socket.setsockopt(zmq.RCVHWM, 1000)
+        self.data_socket.setsockopt(zmq.RCVTIMEO, 50)
+        self.data_socket.bind(f"tcp://{self.host}:{data_port}")
+
+        self.targetFreqs = []
+        self.changeTarget = False
+        self.sunnyLinker = SunnyLinker64(None, None, None, None, None)
+        self.labels = [0x01, 0x02, 0x03]
+
+        self.decoder_switch = False
+        self.decoder_class = None
+        self.cmd_clients = set()
+        self.data_clients = set()
+        self.send_queue = queue.Queue()
+
+        # ========== 数据缓冲区 (RingBuffer) ==========
+        # 与 SunnyLinker 保持一致，使用 RingBuffer
+        # 66 = 64 EEG通道 + 1 事件通道(第65) + 1 标签序号通道(第66)
+        # 缓存约 10 秒数据 (250Hz * 10s = 2500 点)
+        self.n_chan = 66
+        self.t_buffer = 10.0  # 缓冲区时长(秒)
+        self.__ringBuffer = RingBuffer(self.n_chan, int(self.t_buffer * 250))
+
+        # 事件检测相关
+        self._event_lock = threading.Lock()
+        self._epoch_finished = False
+        self._event_inner_idx = -1
+        self.pack_contain_event = False
+        self.predict_event = 99
+        self.events = [1, 2, self.predict_event]
+        self.count_events = {}
+        self.latency = 50
+        self.train_latency = 50
+
+        # 当前事件标签序号 (从第66通道获取)
+        self.current_label_index = 0
+
+        # 初始化标志
+        self._interval_inited = False
+        self._currentLabel = -1
+
+        # 注册的客户端（兼容旧接口）
+        self.clients = set()
+
+    # ========== 事件属性：线程安全访问 ==========
+    @property
+    def epoch_finished(self):
+        with self._event_lock:
+            return self._epoch_finished
+
+    @epoch_finished.setter
+    def epoch_finished(self, value):
+        with self._event_lock:
+            self._epoch_finished = value
+
+    @property
+    def event_inner_idx(self):
+        with self._event_lock:
+            return self._event_inner_idx
+
+    @event_inner_idx.setter
+    def event_inner_idx(self, value):
+        with self._event_lock:
+            self._event_inner_idx = value
+
+    @property
+    def interval_inited(self):
+        return self._interval_inited
+
+    @interval_inited.setter
+    def interval_inited(self, value):
+        self._interval_inited = value
+
+    @property
+    def currentLabel(self):
+        return self._currentLabel
+
+    @currentLabel.setter
+    def currentLabel(self, value):
+        self._currentLabel = value
+
+    def broadcast_message(self, method, params):
+        """Put message into queue to be sent to all connected clients"""
+        self.send_queue.put((method, params))
+
+    # ========== 数据缓冲区操作接口 ==========
+    def GetDataLenCount(self):
+        """返回缓冲区当前数据点数"""
+        return self.__ringBuffer.nUpdate
+
+    def getData(self, count):
+        """获取最新count个数据点，不消费（只读）"""
+        with self.__ringBuffer.RingBufferLock:
+            count = min(count, self.__ringBuffer.nUpdate)
+            if count == 0:
+                return np.zeros((self.n_chan, 0))
+
+            # 计算读取范围（从尾部取最新数据）
+            read_end = (self.__ringBuffer.currentPtr - 1) % self.__ringBuffer.n_points
+            read_start = (read_end - count + 1) % self.__ringBuffer.n_points
+
+            if self.__ringBuffer.currentPtr == 0:
+                read_start = self.__ringBuffer.n_points - count
+                read_end = self.__ringBuffer.n_points - 1
+
+            if read_start <= read_end:
+                data = self.__ringBuffer.buffer[:, read_start:read_end + 1]
+            else:
+                part1 = self.__ringBuffer.buffer[:, read_start:]
+                part2 = self.__ringBuffer.buffer[:, :read_end + 1]
+                data = np.concatenate((part1, part2), axis=1)
+
+            return data
+
+    def consumeData(self, count):
+        """消费(丢弃)指定数量的数据点，从头部移除"""
+        with self.__ringBuffer.RingBufferLock:
+            count = min(count, self.__ringBuffer.nUpdate)
+            self.__ringBuffer.readPtr = (self.__ringBuffer.readPtr + count) % self.__ringBuffer.n_points
+            self.__ringBuffer.nUpdate -= count
+
+    def ResetAll(self):
+        """重置缓冲区"""
+        with self.__ringBuffer.RingBufferLock:
+            self.__ringBuffer.resetAllPara()
+        with self._event_lock:
+            self._epoch_finished = False
+            self._event_inner_idx = -1
+        self.pack_contain_event = False
+        self.count_events.clear()
+        self.current_label_index = 0
+
+    def reset_data_buffer(self):
+        self.ResetAll()
+
+    def reset_state(self):
+        self.ResetAll()
+
+    def interval_init(self, decoder_class):
+        """初始化事件检测参数"""
+        import ast
+        from PubLibrary.InifileHelper import IniRead
+
+        if decoder_class == 'ssmvep':
+            interval_epoch = ast.literal_eval(IniRead('system', 'SSMVEP_IntervalEpoch'))
+            self.interval_epoch = [int(i * 250) for i in interval_epoch]
+            self.train_epoch = [int(self.interval_epoch[0]),
+                                int(self.interval_epoch[1] + 0.1 * 250)]
+            self.latency = (self.interval_epoch[1] + 0.1 * 250) // 5
+            self.train_latency = (self.train_epoch[1] + 0.1 * 250) // 5
+
+        elif decoder_class == 'mi':
+            interval_epoch = ast.literal_eval(IniRead('system', 'MI_IntervalEpoch'))
+            self.interval_epoch = [int(i * 250) for i in interval_epoch]
+            self.train_epoch = self.interval_epoch.copy()
+            self.latency = self.interval_epoch[1] // 5
+            self.train_latency = self.latency
+
+        self.count_events = {}
+        self._event_inner_idx = -1
+        self._epoch_finished = False
+        self.pack_contain_event = False
+        self.predict_event = 99
+        self.events = [1, 2, self.predict_event]
+        self._interval_inited = True
+
+    # ========== 事件检测 ==========
+    def detect_event(self, data_matrix):
+        """
+        检测事件通道中的触发信号
+
+        @param data_matrix: shape (66, N) - N个采样点的数据
+                           第65行(索引64) = 事件通道
+                           第66行(索引65) = 标签通道
+        @return: 是否检测到事件
+        """
+        if data_matrix.shape[1] == 0:
+            return False
+
+        self.pack_contain_event = False
+        event_channel = data_matrix[64, :]   # 第65通道 = 标签值(event值)
+        label_channel = data_matrix[65, :]  # 第66通道 = 标签序号(label index)
+
+        events = event_channel.tolist()
+
+        with self._event_lock:
+            self._event_inner_idx = -1
+            self.current_event_label = 0
+
+            for idx, event in enumerate(events):
+                if int(event) in self.events:
+                    self._event_inner_idx = idx
+                    self.current_label_index = int(label_channel[idx])
+                    self.pack_contain_event = True
+
+                    new_key = f"{event}_{time.time()}"
+                    latency = self.latency if event == self.predict_event else self.train_latency
+                    self.count_events[new_key] = latency + 1
+
+            # 延迟计数递减
+            drop_items = []
+            for key, value in self.count_events.items():
+                value = value - 1
+                if value == 0:
+                    drop_items.append(key)
+                self.count_events[key] = value
+            for key in drop_items:
+                del self.count_events[key]
+
+            if drop_items:
+                self._epoch_finished = True
+                # 检测到事件时，清除RingBuffer中之前的数据，只保留当前包
+                if self.pack_contain_event:
+                    self.__ringBuffer.resetAllPara()
+                return True
+
+            self._epoch_finished = False
+            return False
+
+    def run(self):
+        self.running = True
+        print(f"Server running - CMD: {self.cmd_port}, DATA: {self.data_port}")
+
+        cmd_poller = zmq.Poller()
+        cmd_poller.register(self.cmd_socket, zmq.POLLIN)
+
+        data_poller = zmq.Poller()
+        data_poller.register(self.data_socket, zmq.POLLIN)
+
+        try:
+            while self.running:
+                # --- 处理发送队列 (指令通道) ---
+                while not self.send_queue.empty():
+                    method, params = self.send_queue.get()
+                    if self.cmd_clients:
+                        try:
+                            msg = {'method': method, 'params': params}
+                            msg_bytes = json.dumps(msg).encode('utf-8')
+                            for client_id in list(self.cmd_clients):
+                                try:
+                                    self.cmd_socket.send_multipart([client_id, b'', msg_bytes])
+                                except Exception:
+                                    pass
+                        except Exception:
+                            pass
+
+                # --- 处理指令通道 ---
+                socks = dict(cmd_poller.poll(10))
+                if self.cmd_socket in socks:
+                    self._handle_cmd_socket()
+
+                # --- 处理数据通道 ---
+                socks = dict(data_poller.poll(10))
+                if self.data_socket in socks:
+                    self._handle_data_socket()
+
+        except Exception as e:
+            print(f"Server error: {e}")
+        finally:
+            self.running = False
+            self.cmd_socket.close()
+            self.data_socket.close()
+            self.context.term()
+
+    def _handle_cmd_socket(self):
+        """处理指令通道消息"""
+        try:
+            frames = self.cmd_socket.recv_multipart()
+            if len(frames) < 3:
+                return
+            ident, _, message_bytes = frames[:3]
+            self.cmd_clients.add(ident)
+            self.clients.add(ident)
+
+            message = json.loads(message_bytes.decode('utf-8'))
+            method = message.get("method")
+            params = message.get("params")
+
+            print(f"[CMD] {method}: {params}")
+
+            if method == "sync":
+                self.state_mode = 'sync'
+            elif method == "targetFreqs":
+                if isinstance(params, list) and params != self.targetFreqs:
+                    self.targetFreqs = params
+                    self.changeTarget = True
+            elif method == "decoderClass":
+                if isinstance(params, str) and params != self.decoder_class:
+                    self.decoder_class = params
+                    self.decoder_switch = True
+            elif method == "getReport":
+                self.getReport = True
+            elif method == "train":
+                self.state_mode = 'train'
+                self.StartTrain = True
+                self.currentLabel = params
+            elif method == "predict":
+                self.state_mode = 'predict'
+                if params == 1:
+                    self.StartDecode = True
+                elif params == 2:
+                    self.IsExitApp = True
+                    self.running = False
+            elif method == "rest":
+                self.state_mode = 'rest'
+            elif method == "impedance":
+                if params == 1:
+                    self.open_Impedance = True
+                    self.get_Impedance = True
+                elif params == 2:
+                    self.open_Impedance = False
+                    self.get_Impedance = False
+
+        except Exception as e:
+            print(f"CMD socket error: {e}")
+
+    def _handle_data_socket(self):
+        """处理数据通道消息 (EEG数据)
+
+        上位机数据格式:
+        - 数据帧: [identity, '', meta_json, data_buffer]
+                   data_buffer = [N, 66] float32 -> 转置为 [66, N]
+        """
+        try:
+            frames = self.data_socket.recv_multipart()
+            if len(frames) < 4:
+                return
+            ident, _, message_bytes = frames[:3]
+            self.data_clients.add(ident)
+
+            meta = json.loads(message_bytes.decode('utf-8'))
+
+            # data: [N, 66] -> 转置 -> [66, N]
+            raw_data = np.frombuffer(frames[3], dtype=np.float32)
+            n_samples, n_channels = meta.get('shape', [5, 66])
+            data_matrix = raw_data.reshape(n_samples, n_channels).T.astype(np.float32)
+
+            # 写入 RingBuffer
+            with self.__ringBuffer.RingBufferLock:
+                self.__ringBuffer.appendBuffer(data_matrix)
+
+            # 事件检测
+            self.detect_event(data_matrix)
+
+        except Exception as e:
+            print(f"DATA socket error: {e}")
+
+    # ========== 各范式数据访问接口 ==========
+    def get_MIData(self):
+        """获取MI导联数据 (21通道 + 事件)"""
+        data = self.getData(self.GetDataLenCount())
+        rows_to_extract = [8, 15, 12, 14, 18, 23, 16, 59, 50, 58, 17, 45, 29, 11, 10, 19, 20, 61, 51, 60, 21, 64, 65]
+        row_to_select = np.array(rows_to_extract)
+        if data.shape[1] > 0:
+            return data[row_to_select, :]
+        return np.zeros((len(rows_to_extract), 0))
+
+    def get_SSMVEPData(self):
+        """获取SSMVEP导联数据 (8通道 + 事件)"""
+        data = self.getData(self.GetDataLenCount())
+        rows_to_extract = [13, 3, 2, 46, 9, 54, 47, 55, 64, 65]
+        row_to_select = np.array(rows_to_extract)
+        if data.shape[1] > 0:
+            return data[row_to_select, :]
+        return np.zeros((len(rows_to_extract), 0))
+
+    def getDataViaSSVEP(self, count):
+        """获取SSVEP数据 (8通道 + 事件)"""
+        data = self.getData(count)
+        rows_to_extract = [13, 3, 2, 46, 9, 54, 47, 55, 64]
+        row_to_select = np.array(rows_to_extract)
+        if data.shape[1] > 0:
+            return data[row_to_select, :]
+        return np.zeros((len(rows_to_extract), 0))
+
+    def get_concentrateData(self, count):
+        """获取专注力数据 (2通道)"""
+        data = self.getData(count)
+        rows_to_extract = [0, 1]
+        row_to_select = np.array(rows_to_extract)
+        if data.shape[1] > 0:
+            return data[row_to_select, :]
+        return np.zeros((len(rows_to_extract), 0))
+
+    def get_blinkData(self, count):
+        """获取眨眼数据 (2通道)"""
+        data = self.getData(count)
+        rows_to_extract = [0, 1]
+        row_to_select = np.array(rows_to_extract)
+        if data.shape[1] > 0:
+            return data[row_to_select, :]
+        return np.zeros((len(rows_to_extract), 0))
+
+    def getImpedance(self, data, decoder_class):
+        """计算阻抗（ZMQ模式下不可用）"""
+        return np.zeros(8)
+
+    def stop(self):
+        self.running = False
+        self.cmd_socket.close()
+        self.data_socket.close()
+        self.context.term()
+
+
+if __name__ == '__main__':
+    server = zmqServer()
+    server.start()

config.ini

@@ -19,6 +19,16 @@ Device_Port = 5086
 Upper_Host = 127.0.0.1
 Upper_Port = 8088
 Serial_port = COM44
+algo_log_level = DEBUG
+console_output = 1
+
+; 64 导设备配置
+[device_type_1]
+device_sample_rate = 250
+device_channel_nums = 66
+device_channel_names = ['FP1', 'FP2', 'FC1', 'FC2', 'CP1', 'CP2', 'F3', 'F4', 'P3', 'P4', 'O1', 'O2', 'FT9', 'FT10', 'F7', 'F8', 'TP9', 'TP10', 'AF4', 'PO8', 'PZ', 'FCZ']
+device_channel_index = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18]
+
 
 
 [Layout]

logs/log.py

@@ -0,0 +1,87 @@
+# log.py
+import os
+from datetime import datetime
+import logging
+from logging.handlers import RotatingFileHandler
+from PubLibrary.InifileHelper import IniRead
+
+
+console_output = IniRead('system', 'console_output', '1')
+log_level = IniRead('system', 'algo_log_level', 'INFO')
+
+# 新增：日志去重缓存，key为日志内容，value为是否已打印
+log_once_cache = set()
+
+
+def init_module_logger():
+    """
+    初始化指定模块的日志器
+    :return: 对应模块的logger实例
+    """
+    # 缓存命中则直接返回
+    log_dir = './logs/'    # 确保日志目录存在
+    os.makedirs(log_dir, exist_ok=True)
+
+    log_file = os.path.join(log_dir, f'algo_log_{datetime.now().strftime("%Y-%m-%d")}.log')
+    
+    # 初始化logger
+    logger = logging.getLogger('decoderLogger')
+    logger.setLevel(log_level)
+
+    if logger.handlers:
+            return logger
+
+    # 设置日志轮转，最大10个文件，每个10MB
+    file_handler = RotatingFileHandler(
+        log_file,
+        maxBytes=10*1024*1024,
+        backupCount=10,
+        encoding='utf-8'
+    )
+    
+    # 日志格式
+    formatter = logging.Formatter(
+        '%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+        datefmt='%Y-%m-%d %H:%M:%S'
+    )
+    file_handler.setFormatter(formatter)
+    logger.setLevel(log_level)
+    logger.addHandler(file_handler)
+    
+    if console_output:
+        console_handler = logging.StreamHandler()
+        console_handler.setFormatter(formatter)
+        logger.addHandler(console_handler)
+
+    return logger
+
+def algo_log(content, level="INFO", record_once=False):
+    """
+    通用日志函数，支持按模块输出到不同日志文件
+    :param content: 日志内容
+    :param level: 日志级别（DEBUG/INFO/WARNING/ERROR/FATAL）
+    :param record_once: 是否只打印一次该日志内容，默认False
+    """
+    # 初始化模块日志器
+    logger = init_module_logger()
+    
+    # 新增：处理只打印一次的逻辑
+    if record_once:
+        # 生成唯一标识（可根据需要调整，比如拼接level增强唯一性）
+        log_key = f"{level.upper()}_{content}"
+        if log_key in log_once_cache:
+            return  # 已打印过，直接返回
+        log_once_cache.add(log_key)  # 未打印过，加入缓存
+    
+    # 根据级别输出日志
+    level_upper = level.upper()
+    if level_upper == "DEBUG":
+        logger.debug(content)
+    elif level_upper == "WARNING":
+        logger.warning(content)
+    elif level_upper == "ERROR":
+        logger.error(content)
+    elif level_upper == "FATAL":
+        logger.fatal(content)
+    else:  # 默认INFO级别
+        logger.info(content)

runDecoder.py

@@ -5,27 +5,40 @@ import sys
 import time
 from Decoder import Decoder_main
 from PubLibrary.RunOnce import is_program_running
+from PubLibrary.InifileHelper import IniRead
+
+def get_device_info(device_type):
+    
+    
+    section = f'device_type_{device_type}'
+    device_info = {
+        'device_sample_rate': int(IniRead(section, 'sample_rate')) if IniRead(section, 'sample_rate') is not None else 250,
+        
+        ''
+    }
 
 if __name__ == "__main__":
     if not is_program_running():
         # 解析命令行参数
         parser = argparse.ArgumentParser(description="EEG Decoder Application")
-        parser.add_argument('-dt', '--device-type', type=int, default=None, help="Device Type")
-        parser.add_argument('-dh', '--device-host', type=str, default=None, help="Device Host IP")
-        parser.add_argument('-dp', '--device-port', type=int, default=None, help="Device Port")
-        parser.add_argument('-uh', '--upper-host', type=str, default=None, help="Upper Computer Host IP")
-        parser.add_argument('-up', '--upper-port', type=int, default=None, help="Upper Computer Port")
+        parser.add_argument('-dt', '-t','--device-type', type=int, default=None, help="Device Type")
+        # parser.add_argument('-dh', '--device-host', type=str, default=None, help="Device Host IP")
+        # parser.add_argument('-dp', '--device-port', type=int, default=None, help="Device Port")
+        # parser.add_argument('-uh', '--upper-host', type=str, default=None, help="Upper Computer Host IP")
+        # parser.add_argument('-up', '--upper-port', type=int, default=None, help="Upper Computer Port")
 
         args = parser.parse_args()
+        device_info= get_device_info(args.device_type)
         
-        decoder = Decoder_main()
-        decoder.connect(
-            device_type=args.device_type,
-            device_host=args.device_host,
-            device_port=args.device_port,
-            upper_host=args.upper_host,
-            upper_port=args.upper_port
-        )
+
+        decoder = Decoder_main(device_info=device_info)
+        # decoder.connect(
+        #     device_type=args.device_type,
+        #     device_host=args.device_host,
+        #     device_port=args.device_port,
+        #     upper_host=args.upper_host,
+        #     upper_port=args.upper_port
+        # )
 
         try:
             decoder.start()