Merge branch 'main' of http://121.37.111.42:3000/ThbTech/BodyBalanceEvaluation

.gitignore

@@ -21420,3 +21420,5 @@ frontend/src/renderer/src/services/api.js
 frontend/src/renderer/src/services/api.js
 frontend/src/renderer/src/services/api.js
 frontend/src/renderer/src/services/api.js
+frontend/src/renderer/src/services/api.js
+backend/devices/utils/config.ini

backend/devices/imu_manager.py

@@ -67,7 +67,6 @@ class RealIMUDevice:
         if 'head_pose_offset' in calibration:
             self.head_pose_offset = calibration['head_pose_offset']
         logger.debug(f'应用IMU校准数据: {self.head_pose_offset}')
-
     def apply_calibration(self, raw_data: Dict[str, Any]) -> Dict[str, Any]:
         """应用校准：将当前姿态减去初始偏移，得到相对于初始姿态的变化量"""
         if not raw_data or 'head_pose' not in raw_data:
@@ -76,15 +75,14 @@ class RealIMUDevice:
         # 应用校准偏移
         calibrated_data = raw_data.copy()
         head_pose = raw_data['head_pose'].copy()
-        
+        angle=head_pose['rotation'] - self.head_pose_offset['rotation']
         # 减去基准值（零点偏移）
-        head_pose['rotation'] = head_pose['rotation'] - self.head_pose_offset['rotation']
+        head_pose['rotation'] = ((angle + 180) % 360) - 180
         head_pose['tilt'] = head_pose['tilt'] - self.head_pose_offset['tilt']
         head_pose['pitch'] = head_pose['pitch'] - self.head_pose_offset['pitch']
         
         calibrated_data['head_pose'] = head_pose
         return calibrated_data
-
     @staticmethod
     def _checksum(data: bytes) -> int:
         return sum(data[:-1]) & 0xFF
@@ -115,7 +113,7 @@ class RealIMUDevice:
                 'yaw': yaw,
                 'temperature': temp
             }
-            # logger.debug(f'解析姿态角包: roll={roll}, pitch={pitch}, yaw={yaw}, temp={temp}')
+            # print(f'解析姿态角包: roll={roll}, pitch={pitch}, yaw={yaw}, temp={temp}')
             return self.last_data
         else:
             # logger.debug(f'忽略的数据包类型: 0x{packet_type:02X}')
@@ -356,37 +354,16 @@ class IMUManager(BaseDevice):
                 
             self.logger.info('开始IMU快速零点校准...')
             
-            # 收集校准样本
+            # 直接读取一次原始数据作为校准偏移量
-            calibration_samples = []
+            raw_data = self.imu_device.read_data(apply_calibration=False)
-            sample_count = 50  # 减少样本数量以加快校准速度
+            if not raw_data or 'head_pose' not in raw_data:
+                return {'status': 'error', 'error': '无法读取IMU原始数据'}
             
-            for i in range(sample_count):
+            # 使用当前姿态作为零点偏移
-                try:
-                    # 读取原始数据（不应用校准）
-                    raw_data = self.imu_device.read_data(apply_calibration=False)
-                    if raw_data and 'head_pose' in raw_data:
-                        calibration_samples.append(raw_data['head_pose'])
-                    time.sleep(0.02)  # 20ms间隔
-                except Exception as e:
-                    self.logger.warning(f'校准样本采集失败: {e}')
-                    continue
-                    
-            if len(calibration_samples) < sample_count * 0.7:
-                return {
-                    'status': 'error', 
-                    'error': f'校准样本不足: {len(calibration_samples)}/{sample_count}'
-                }
-                
-            # 计算平均值作为零点偏移
-            rotation_sum = sum(sample['rotation'] for sample in calibration_samples)
-            tilt_sum = sum(sample['tilt'] for sample in calibration_samples)
-            pitch_sum = sum(sample['pitch'] for sample in calibration_samples)
-            
-            count = len(calibration_samples)
             self.head_pose_offset = {
-                'rotation': rotation_sum / count,
+                'rotation': raw_data['head_pose']['rotation'],
-                'tilt': tilt_sum / count,
+                'tilt': raw_data['head_pose']['tilt'],
-                'pitch': pitch_sum / count
+                'pitch': raw_data['head_pose']['pitch']
             }
             
             # 应用校准到设备
@@ -396,8 +373,7 @@ class IMUManager(BaseDevice):
             self.logger.info(f'IMU快速校准完成: {self.head_pose_offset}')
             return {
                 'status': 'success',
-                'head_pose_offset': self.head_pose_offset,
+                'head_pose_offset': self.head_pose_offset
-                'samples_used': count
             }
             
         except Exception as e:
@@ -504,8 +480,8 @@ class IMUManager(BaseDevice):
                     
                     if data:
                         # 缓存数据
-                        self.data_buffer.append(data)
+                        # self.data_buffer.append(data)
-                        self.last_valid_data = data
+                        # self.last_valid_data = data
                         
                         # 发送数据到前端
                         if self._socketio:

backend/main.py

@@ -947,7 +947,7 @@ class AppServer:
                 self.logger.error(f'校准设备失败: {e}')
                 return jsonify({'success': False, 'error': str(e)}), 500
         
-        @self.app.route('/api/devices/imu/calibrate', methods=['POST'])
+        @self.app.route('/api/devices/calibrate/imu', methods=['POST'])
         def calibrate_imu():
             """校准IMU"""
             try:

backend/tests/test111.py

@@ -1,79 +1,53 @@
-import ctypes
+from PIL import Image
-import time
+import colorsys
-import numpy as np
 
-# === DLL 加载 ===
+def get_unique_colors(image_path):
-dll = ctypes.WinDLL(r"D:\BodyBalanceEvaluation\backend\dll\smitsense\SMiTSenseUsbWrapper.dll")
+    img = Image.open(image_path).convert("RGB")
+    unique_colors = list(set(img.getdata()))
+    return unique_colors
 
-# === DLL 函数声明 ===
+def get_representative_colors(colors, n=12):
-dll.SMiTSenseUsb_Init.argtypes = [ctypes.c_int]
+    # 按亮度排序并均匀抽取
-dll.SMiTSenseUsb_Init.restype = ctypes.c_int
+    def brightness(rgb):
+        r, g, b = rgb
+        return 0.2126*r + 0.7152*g + 0.0722*b
     
-dll.SMiTSenseUsb_ScanDevices.argtypes = [ctypes.POINTER(ctypes.c_int)]
+    colors.sort(key=brightness)
-dll.SMiTSenseUsb_ScanDevices.restype = ctypes.c_int
+    total = len(colors)
+    if total <= n:
+        return colors
+    step = total / n
+    return [colors[int(i*step)] for i in range(n)]
 
-dll.SMiTSenseUsb_OpenAndStart.argtypes = [
+def sort_colors_by_hue(colors):
-    ctypes.c_int,
+    # 转为 HSV，并按色相排序
-    ctypes.POINTER(ctypes.c_uint16),
+    def rgb_to_hue(rgb):
-    ctypes.POINTER(ctypes.c_uint16)
+        r, g, b = [x/255.0 for x in rgb]
-]
+        h, s, v = colorsys.rgb_to_hsv(r, g, b)
-dll.SMiTSenseUsb_OpenAndStart.restype = ctypes.c_int
+        return h
+    return sorted(colors, key=rgb_to_hue)
 
-dll.SMiTSenseUsb_GetLatestFrame.argtypes = [
+def show_color_preview(colors, width=600, height_per_color=50):
-    ctypes.POINTER(ctypes.c_uint16),
+    n = len(colors)
-    ctypes.c_int
+    height = n * height_per_color
-]
+    img = Image.new("RGB", (width, height))
-dll.SMiTSenseUsb_GetLatestFrame.restype = ctypes.c_int
     
-dll.SMiTSenseUsb_StopAndClose.argtypes = []
+    for i, color in enumerate(colors):
-dll.SMiTSenseUsb_StopAndClose.restype = ctypes.c_int
+        for y in range(i*height_per_color, (i+1)*height_per_color):
+            for x in range(width):
+                img.putpixel((x, y), color)
     
-# === 初始化设备 ===
+    img.show()
-ret = dll.SMiTSenseUsb_Init(0)
-if ret != 0:
-    raise RuntimeError(f"Init failed: {ret}")
 
-count = ctypes.c_int()
+if __name__ == "__main__":
-ret = dll.SMiTSenseUsb_ScanDevices(ctypes.byref(count))
+    image_path = r"D:\项目资料\技术文档资料\中康项目资料\11.png"
-if ret != 0 or count.value == 0:
-    raise RuntimeError("No devices found")
     
-# 打开设备
+    colors = get_unique_colors(image_path)
-rows = ctypes.c_uint16()
+    rep_colors = get_representative_colors(colors, 12)
-cols = ctypes.c_uint16()
+    sorted_colors = sort_colors_by_hue(rep_colors)
-ret = dll.SMiTSenseUsb_OpenAndStart(0, ctypes.byref(rows), ctypes.byref(cols))
-if ret != 0:
-    raise RuntimeError("OpenAndStart failed")
     
-rows_val, cols_val = rows.value, cols.value
+    print("12 个代表性颜色（按彩虹顺序）：")
-frame_size = rows_val * cols_val
+    for i, color in enumerate(sorted_colors, 1):
-buf_type = ctypes.c_uint16 * frame_size
+        print(f"{i}: {color}")
-buf = buf_type()
     
-# 创建一个 NumPy 数组视图，复用内存
+    show_color_preview(sorted_colors)
-data_array = np.ctypeslib.as_array(buf).reshape((rows_val, cols_val))
-
-print(f"设备已打开: {rows_val}x{cols_val}")
-
-try:
-    while True:
-       ret = dll.SMiTSenseUsb_GetLatestFrame(buf, frame_size)
-       time.sleep(1)
-    # while True:
-    #     ret = dll.SMiTSenseUsb_GetLatestFrame(buf, frame_size)
-    #     if ret == 0:
-    #         # data_array 已经复用缓冲区内存，每次直接访问即可
-    #         # 例如打印最大值和前5行前5列的数据
-    #         print("最大压力值:", data_array.max())
-    #         print("前5x5数据:\n", data_array[:5, :5])
-    #     else:
-    #         print("读取数据帧失败")
-
-    #     time.sleep(1)  # 每秒读取一帧
-
-except KeyboardInterrupt:
-    print("退出中...")
-
-finally:
-    dll.SMiTSenseUsb_StopAndClose()
-    print("设备已关闭")

backend/tests/test1imu10a.py

@@ -59,7 +59,7 @@ def parse_packet(data):
     # else:
     #     return f"未知包类型: {packet_type:#04x}"
 
-def read_imu(port='COM6', baudrate=9600):
+def read_imu(port='COM8', baudrate=9600):
     ser = serial.Serial(port, baudrate, timeout=1)
     buffer = bytearray()
 

backend/tests/test44femtobolt.py

@@ -0,0 +1,94 @@
+import os
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.colors import ListedColormap
+import pykinect_azure as pykinect
+
+
+class FemtoBoltContourViewer:
+    def __init__(self, depth_min=900, depth_max=1100):
+        self.depth_min = depth_min
+        self.depth_max = depth_max
+
+        # 自定义离散彩虹色，层次明显
+        colors = [
+            'darkblue', 'blue', 'cyan', 'lime', 'yellow',
+            'orange', 'red', 'darkred'
+        ]
+        self.cmap = ListedColormap(colors)
+
+        self.device_handle = None
+        self.pykinect = None
+        self.config = None
+
+    def _load_sdk(self):
+        """加载并初始化 FemtoBolt SDK"""
+        base_dir = os.path.dirname(os.path.abspath(__file__))
+        dll_path = os.path.join(base_dir, "..", "dll", "femtobolt", "bin", "k4a.dll")
+        self.pykinect = pykinect
+        self.pykinect.initialize_libraries(track_body=False, module_k4a_path=dll_path)
+
+    def _configure_device(self):
+        """配置 FemtoBolt 深度相机"""
+        self.config = self.pykinect.default_configuration
+        self.config.depth_mode = self.pykinect.K4A_DEPTH_MODE_NFOV_UNBINNED
+        self.config.camera_fps = self.pykinect.K4A_FRAMES_PER_SECOND_15
+        self.config.synchronized_images_only = False
+        self.config.color_resolution = 0
+        self.device_handle = self.pykinect.start_device(config=self.config)
+
+    def run(self):
+        self._load_sdk()
+        self._configure_device()
+
+        plt.ion()  # 打开交互模式
+        fig, ax = plt.subplots(figsize=(7, 7))
+        print("FemtoBolt 深度相机启动成功，关闭窗口或 Ctrl+C 退出")
+
+        # 设置离散等高线层次
+        levels = np.linspace(self.depth_min, self.depth_max, len(self.cmap.colors) + 1)
+
+        try:
+            while plt.fignum_exists(fig.number):  # 窗口存在才继续
+                capture = self.device_handle.update()
+                if capture is None:
+                    continue
+                ret, depth_image = capture.get_depth_image()
+                if not ret or depth_image is None:
+                    continue
+
+                depth = depth_image.astype(np.uint16)
+                # 限制深度范围
+                depth[depth > self.depth_max] = 0
+                depth[depth < self.depth_min] = 0
+                depth = depth[0:350, 0:350]
+
+                # 屏蔽无效值
+                depth_masked = np.ma.masked_equal(depth, 0)
+
+                # 背景灰色
+                background = np.ones_like(depth) * 0.5
+
+                # 绘制
+                ax.clear()
+                ax.imshow(background, origin='lower', cmap='gray', alpha=0.3)
+                ax.grid(True, which='both', axis='both', color='white',
+                        linestyle='--', linewidth=1, zorder=0)
+                ax.contourf(depth_masked, levels=levels, cmap=self.cmap,
+                            vmin=self.depth_min, vmax=self.depth_max,
+                            origin='upper', zorder=2)
+
+                plt.pause(0.05)
+
+        except KeyboardInterrupt:
+            print("检测到退出信号，结束程序")
+        finally:
+            if self.device_handle:
+                self.device_handle.stop()
+                self.device_handle.close()
+            plt.close(fig)
+
+
+if __name__ == "__main__":
+    viewer = FemtoBoltContourViewer(depth_min=900, depth_max=1100)
+    viewer.run()

frontend/src/renderer/src/services/api.js

@@ -610,16 +610,22 @@ export const historyAPI = {
     // 删除检测数据记录
     detectionDelById(id) {
       return api.delete(`/api/detection/data/${id}`, {})
+    },
+    // 删除检测会话及其相关的检测数据
+    sessionsDelById(id) {
+      return api.delete(`api/detection/sessions/${id}`, {})
     },
      // 获取检测会话历史
     sessionById(id) {
       return api.get(`/api/history/sessions/${id}`)
     },
-    // detectionLatestById(id) {
-    //   return api.get(`/api/detection/data/detail/${id}`)
-    // },
 
-    detectionLatestById(id) {
+    //获取最新的检测数据
+    detectionLatestList(id) {
+      return api.get(`/api/detection/data/detail/${id}/latest`)
+    },
+     //根据主键ID查询检测数据详情
+    detectionById(id) {
       return api.get(`/api/detection/data/detail/${id}`)
     },
 

frontend/src/renderer/src/views/Detection.vue

@@ -64,7 +64,7 @@
             <div :style="{ color: femtoboltStatus == '已连接' ? '#00CC33' : '#808080' }" style="font-size: 14px;">
               {{ femtoboltStatus }}</div>
           </div>
-          <div style="display: flex;justify-content: center;height: 100%;padding-top: 0px;">
+          <div ref="wholeBodyRef" style="display: flex;justify-content: center;height: 100%;padding-top: 0px;">
             <!-- 使用深度相机视频流替换静态图片 -->
             <img :src="(femtoboltStatus === '已连接' && depthCameraImgSrc) ? depthCameraImgSrc : noImageSvg" alt="深度相机视频流"
               style="width: 100%;height: calc(100% - 40px);object-fit:contain;background:#323232;">
@@ -323,7 +323,7 @@
           </div>
           <!-- 视频模块 -->
           <div class="module-card" style="height: 50%;">
-            <div style="display: flex;margin-bottom: 15px;">
+            <div style="display: flex;">
               <div class="module-header">
                 <div class="module-title">
                   <div class="module-title-bg">
@@ -334,9 +334,12 @@
                 <div :style="{ color: cameraStatus == '已连接' ? '#00CC33' : '#808080' }" style="font-size: 14px;">{{ cameraStatus }}</div>
               </div>
             </div>
+            <div ref="videoImgRef" style="width: 100%;height: calc(100% - 40px)">
+              <img :src="(cameraStatus === '已连接' && rtspImgSrc) ? rtspImgSrc : noImageSvg" alt=""
+              style="width: 100%;height: calc(100%);object-fit:contain;background:#323232;" />
+            </div>
             <!-- 使用img元素显示视频流（优化的Data URL方案） -->
-            <img :src="(cameraStatus === '已连接' && rtspImgSrc) ? rtspImgSrc : noImageSvg" alt=""
+            
-              style="width: 100%;height: calc(100% - 80px);object-fit:contain;background:#323232;" />
           </div>
         </div>
       </div>
@@ -569,6 +572,9 @@ const dataCollectionLoading = ref(false)
 const isRecording = ref(false)
 const cameraDialogVisible =ref(false) // 设置相机参数弹框
 
+const wholeBodyRef = ref(null) // 身体姿态ref
+const videoImgRef =ref(null) // 视频流图片ref
+
 // 录像相关变量
 let mediaRecorder = null
 let recordedChunks = []
@@ -908,6 +914,7 @@ const editPatient = () => {
   }
   dialogVisible.value = true
 }
+const tempInfo = ref({})
 // WebSocket连接函数
 function connectWebSocket() {
   try {
@@ -1037,25 +1044,29 @@ function connectWebSocket() {
     // 监听各设备数据事件
     devicesSocket.on('camera_frame', (data) => {
       frameCount++
+      tempInfo.value.camera_frame = data
       displayFrame(data.image)
     })
-    devicesSocket.on('video_frame', (data) => {
+    // devicesSocket.on('video_frame', (data) => {
-      frameCount++
+    //   frameCount++
-      displayFrame(data.image)
+    //   displayFrame(data.image)
-    })
+    // })
     
     devicesSocket.on('femtobolt_frame', (data) => {
+      tempInfo.value.femtobolt_frame = data
       displayDepthCameraFrame(data.depth_image || data.image)
     })
-    devicesSocket.on('depth_camera_frame', (data) => {
+    // devicesSocket.on('depth_camera_frame', (data) => {
-      displayDepthCameraFrame(data.depth_image || data.image)
+    //   displayDepthCameraFrame(data.depth_image || data.image)
-    })
+    // })
     
     devicesSocket.on('imu_data', (data) => {
+      tempInfo.value.imu_data = data
       handleIMUData(data)
     })
     
     devicesSocket.on('pressure_data', (data) => {
+       tempInfo.value.pressure_data = data
        handlePressureData(data)
      })
      
@@ -1634,11 +1645,12 @@ async function saveDetectionData() {
       patientId: patientInfo.value.id,
       patientName: patientInfo.value.name,
       sessionId: patientInfo.value.sessionId,
-      head_pose: {},
+      head_data: imu_data,
-      body_pose: {},
+      body_data: femtobolt_frame,
-      foot_data: {}
+      foot_data: pressure_data,
+      camera_data: camera_frame,
     })
-
+    tempInfo.value
     // 显示成功消息和文件路径
     ElMessage.success({
       message: `截图保存成功！`,
@@ -2286,6 +2298,9 @@ const getDevicesInit = async () => {
 }
 
 onMounted(() => {
+  // wholeBodyRef.value
+  console.log(wholeBodyRef.value.getBoundingClientRect())
+  console.log(videoImgRef.value.getBoundingClientRect())
   // 加载患者信息
   loadPatientInfo()
 
@@ -2301,6 +2316,7 @@ onMounted(() => {
 })
 
 onUnmounted(() => {
+  
   if (timerId.value) {
     clearInterval(timerId.value);
   }

frontend/src/renderer/src/views/PatientProfile.vue

@@ -26,7 +26,7 @@
           <div class="content-left-text2">{{ item.created_at }}</div>
           <div class="content-left-text3" v-if="index==0">最近会诊</div>
           <div class="content-left-text3" v-else>{{ getDayNum(item.created_at,index) }}</div>
-          <!-- <el-button type="danger" style="margin-top: 20px;" @click="deleteClick(item,index)">删除</el-button> -->
+          <el-button type="danger" style="margin-top: 20px;" @click="sessionsDelById(item,index)">删除</el-button>
           
         </div>
         <div class="content-center">
@@ -75,11 +75,11 @@
                 
                 </div>
                 <div style="margin-top: 15px;">
-                  <div @click="patientdetails(item)">
+                  <div @click="patientdetails(item2)">
                     <img src="@/assets/svg/datalist.svg" alt="" style="cursor: pointer;" title="查看详情">
                   </div>
                   <div>
-                    <img src="@/assets/svg/del.svg" alt=""  style="cursor: pointer;"  title="删除"  @click="deleteClick(item2,index)">
+                    <img src="@/assets/svg/del.svg" alt=""  style="cursor: pointer;"  title="删除"  @click="deleteClick(item,item2,index)">
                   </div>
                 </div>
               </div>
@@ -435,6 +435,10 @@ function getDayNum(date2,index){
 
   // 转换为天数
   const daysDiff = Math.floor(timeDiff / (1000 * 3600 * 24));
+  
+  if(daysDiff == 0){
+    return  "当天";
+  }
   return daysDiff + "天";
 }
 
@@ -544,6 +548,7 @@ const deleteScreenshot = async (screenshot) => {
   }
 }
 
+
 const exportReport = async (record) => {
   try {
     ElMessage.info('正在生成报告...')
@@ -712,8 +717,7 @@ function editClick(row,index) {
 }
 //数据详情
 function patientdetails(row) {
-  // historyAPI.sessionById(row.id).then(res => { 
+  detectionById(row)
-  // })
   detailsDialogVisible.value = true
 }
 async function handleDiagnosticInfo(status) {
@@ -776,8 +780,42 @@ const playNewVideo = () => {
     videoPlayerRef.value[index].play()
   }
 }
+function detectionById(row) { 
+  historyAPI.detectionById(row.id).then((response)=>{
+    if(response.success){
+      debugger
+    }
+  }).catch(()=>{
 
-const deleteClick = async (row) => {
+  })
+}
+const deleteClick = async (row,row2) => {
+  detectionLatestList(row.id)
+  ElMessageBox.confirm(
+    '确定义删除此条数据?',
+    '提示',
+    {
+      confirmButtonText: '确定',
+      cancelButtonText: '取消',
+      type: 'warning',
+    }
+  ).then(() => {
+      historyAPI.detectionDelById(row2.id).then((response)=>{
+        if(response.success){
+          ElMessage.success({
+            message: response.message,
+            duration: 5000
+          });
+          sessionsInit()
+          // detectionLatestList(row.id)
+        }
+      }).catch(()=>{
+      })
+    })
+}
+
+
+const sessionsDelById = async (row) => {
 
   ElMessageBox.confirm(
     '确定义删除此条数据?',
@@ -788,7 +826,7 @@ const deleteClick = async (row) => {
       type: 'warning',
     }
   ).then(() => {
-      historyAPI.detectionDelById(row.id).then((response)=>{
+      historyAPI.sessionsDelById(row.id).then((response)=>{
         if(response.success){
           ElMessage.success({
             message: response.message,
@@ -796,63 +834,20 @@ const deleteClick = async (row) => {
           });
           sessionsInit()
         }
-     
-        
       }).catch(()=>{
-
       })
     })
+}
 
-
+const  detectionLatestList = async(id)=>{
-  // try {
+  const response = await historyAPI.detectionLatestList(id)
-  //   // 检查是否有活跃的会话ID
+  console.log(response)
-  //   if (!row.id) {
+  // historyAPI.detectionLatestList(id).then((response)=>{
-  //     throw new Error('缺少会话Id');
+  //   if(response.success){
+  //     console.log(response)
   //   }
-    
+  // }).catch(()=>{
-  //   // 显示确认对话框
+  // })
-  //   await ElMessageBox.confirm(
-  //     '确定要删除此条数据?',
-  //     '警告',
-  //     {
-  //       confirmButtonText: '确定',
-  //       cancelButtonText: '取消',
-  //       type: 'warning',
-  //     }
-  //   );
-    
-  //   // 调用后端API删除数据
-  //   const response = await fetch(`${BACKEND_URL}/api/detection/data/${row.id}`, {
-  //     method: 'DELETE',
-  //     headers: {
-  //       'Content-Type': 'application/json'
-  //     },
-  //   });
-    
-  //   if (!response.ok) {
-  //     throw new Error(`HTTP ${response.status}: ${response.statusText}`);
-  //   }
-    
-  //   const result = await response.json();
-  //   if (result.success) {
-  //     ElMessage.success({
-  //       message: '删除成功',
-  //       duration: 5000
-  //     });
-  //   } else {
-  //     throw new Error(result.message || '删除失败');
-  //   }
-  // } catch (error) {
-  //   // 如果是用户取消操作，不显示错误
-  //   if (error === 'cancel' || error === 'close') {
-  //     return;
-  //   }
-    
-  //   ElMessage.error({
-  //     message: error.message || '删除过程中发生错误',
-  //     duration: 5000
-  //   });
-  // }
 }
 // // 其他控制方法
 // const togglePlayPause = () => {