Merge branch 'main' of http://121.37.111.42:3000/ThbTech/BodyBalanceEvaluation
This commit is contained in:
commit
40eb774f1b
2
.gitignore
vendored
2
.gitignore
vendored
@ -21420,3 +21420,5 @@ frontend/src/renderer/src/services/api.js
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frontend/src/renderer/src/services/api.js
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frontend/src/renderer/src/services/api.js
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frontend/src/renderer/src/services/api.js
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frontend/src/renderer/src/services/api.js
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backend/devices/utils/config.ini
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@ -67,7 +67,6 @@ class RealIMUDevice:
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if 'head_pose_offset' in calibration:
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self.head_pose_offset = calibration['head_pose_offset']
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logger.debug(f'应用IMU校准数据: {self.head_pose_offset}')
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def apply_calibration(self, raw_data: Dict[str, Any]) -> Dict[str, Any]:
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"""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"""
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if not raw_data or 'head_pose' not in raw_data:
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@ -76,15 +75,14 @@ class RealIMUDevice:
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# 应用校准偏移
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calibrated_data = raw_data.copy()
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head_pose = raw_data['head_pose'].copy()
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angle=head_pose['rotation'] - self.head_pose_offset['rotation']
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# 减去基准值（零点偏移）
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head_pose['rotation'] = head_pose['rotation'] - self.head_pose_offset['rotation']
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head_pose['rotation'] = ((angle + 180) % 360) - 180
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head_pose['tilt'] = head_pose['tilt'] - self.head_pose_offset['tilt']
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head_pose['pitch'] = head_pose['pitch'] - self.head_pose_offset['pitch']
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calibrated_data['head_pose'] = head_pose
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return calibrated_data
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@staticmethod
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def _checksum(data: bytes) -> int:
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return sum(data[:-1]) & 0xFF
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@ -115,7 +113,7 @@ class RealIMUDevice:
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'yaw': yaw,
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'temperature': temp
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}
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# logger.debug(f'解析姿态角包: roll={roll}, pitch={pitch}, yaw={yaw}, temp={temp}')
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# print(f'解析姿态角包: roll={roll}, pitch={pitch}, yaw={yaw}, temp={temp}')
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return self.last_data
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else:
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# logger.debug(f'忽略的数据包类型: 0x{packet_type:02X}')
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@ -356,37 +354,16 @@ class IMUManager(BaseDevice):
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self.logger.info('开始IMU快速零点校准...')
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# 收集校准样本
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calibration_samples = []
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sample_count = 50 # 减少样本数量以加快校准速度
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for i in range(sample_count):
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try:
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# 读取原始数据（不应用校准）
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# 直接读取一次原始数据作为校准偏移量
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raw_data = self.imu_device.read_data(apply_calibration=False)
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if raw_data and 'head_pose' in raw_data:
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calibration_samples.append(raw_data['head_pose'])
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time.sleep(0.02) # 20ms间隔
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except Exception as e:
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self.logger.warning(f'校准样本采集失败: {e}')
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continue
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if not raw_data or 'head_pose' not in raw_data:
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return {'status': 'error', 'error': '无法读取IMU原始数据'}
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if len(calibration_samples) < sample_count * 0.7:
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return {
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'status': 'error',
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'error': f'校准样本不足: {len(calibration_samples)}/{sample_count}'
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}
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# 计算平均值作为零点偏移
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rotation_sum = sum(sample['rotation'] for sample in calibration_samples)
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tilt_sum = sum(sample['tilt'] for sample in calibration_samples)
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pitch_sum = sum(sample['pitch'] for sample in calibration_samples)
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count = len(calibration_samples)
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# 使用当前姿态作为零点偏移
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self.head_pose_offset = {
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'rotation': rotation_sum / count,
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'tilt': tilt_sum / count,
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'pitch': pitch_sum / count
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'rotation': raw_data['head_pose']['rotation'],
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'tilt': raw_data['head_pose']['tilt'],
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'pitch': raw_data['head_pose']['pitch']
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}
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# 应用校准到设备
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@ -396,8 +373,7 @@ class IMUManager(BaseDevice):
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self.logger.info(f'IMU快速校准完成: {self.head_pose_offset}')
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return {
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'status': 'success',
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'head_pose_offset': self.head_pose_offset,
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'samples_used': count
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'head_pose_offset': self.head_pose_offset
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}
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except Exception as e:
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@ -504,8 +480,8 @@ class IMUManager(BaseDevice):
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if data:
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# 缓存数据
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self.data_buffer.append(data)
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self.last_valid_data = data
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# self.data_buffer.append(data)
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# self.last_valid_data = data
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# 发送数据到前端
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if self._socketio:
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@ -947,7 +947,7 @@ class AppServer:
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self.logger.error(f'校准设备失败: {e}')
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return jsonify({'success': False, 'error': str(e)}), 500
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@self.app.route('/api/devices/imu/calibrate', methods=['POST'])
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@self.app.route('/api/devices/calibrate/imu', methods=['POST'])
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def calibrate_imu():
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"""校准IMU"""
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try:
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@ -1,79 +1,53 @@
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import ctypes
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import time
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import numpy as np
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from PIL import Image
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import colorsys
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# === DLL 加载 ===
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dll = ctypes.WinDLL(r"D:\BodyBalanceEvaluation\backend\dll\smitsense\SMiTSenseUsbWrapper.dll")
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def get_unique_colors(image_path):
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img = Image.open(image_path).convert("RGB")
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unique_colors = list(set(img.getdata()))
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return unique_colors
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# === DLL 函数声明 ===
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dll.SMiTSenseUsb_Init.argtypes = [ctypes.c_int]
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dll.SMiTSenseUsb_Init.restype = ctypes.c_int
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def get_representative_colors(colors, n=12):
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# 按亮度排序并均匀抽取
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def brightness(rgb):
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r, g, b = rgb
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return 0.2126*r + 0.7152*g + 0.0722*b
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dll.SMiTSenseUsb_ScanDevices.argtypes = [ctypes.POINTER(ctypes.c_int)]
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dll.SMiTSenseUsb_ScanDevices.restype = ctypes.c_int
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colors.sort(key=brightness)
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total = len(colors)
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if total <= n:
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return colors
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step = total / n
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return [colors[int(i*step)] for i in range(n)]
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dll.SMiTSenseUsb_OpenAndStart.argtypes = [
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ctypes.c_int,
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ctypes.POINTER(ctypes.c_uint16),
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ctypes.POINTER(ctypes.c_uint16)
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]
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dll.SMiTSenseUsb_OpenAndStart.restype = ctypes.c_int
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def sort_colors_by_hue(colors):
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# 转为 HSV，并按色相排序
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def rgb_to_hue(rgb):
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r, g, b = [x/255.0 for x in rgb]
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h, s, v = colorsys.rgb_to_hsv(r, g, b)
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return h
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return sorted(colors, key=rgb_to_hue)
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dll.SMiTSenseUsb_GetLatestFrame.argtypes = [
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ctypes.POINTER(ctypes.c_uint16),
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ctypes.c_int
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]
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dll.SMiTSenseUsb_GetLatestFrame.restype = ctypes.c_int
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def show_color_preview(colors, width=600, height_per_color=50):
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n = len(colors)
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height = n * height_per_color
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img = Image.new("RGB", (width, height))
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dll.SMiTSenseUsb_StopAndClose.argtypes = []
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dll.SMiTSenseUsb_StopAndClose.restype = ctypes.c_int
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for i, color in enumerate(colors):
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for y in range(i*height_per_color, (i+1)*height_per_color):
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for x in range(width):
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img.putpixel((x, y), color)
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# === 初始化设备 ===
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ret = dll.SMiTSenseUsb_Init(0)
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if ret != 0:
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raise RuntimeError(f"Init failed: {ret}")
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img.show()
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count = ctypes.c_int()
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ret = dll.SMiTSenseUsb_ScanDevices(ctypes.byref(count))
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if ret != 0 or count.value == 0:
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raise RuntimeError("No devices found")
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if __name__ == "__main__":
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image_path = r"D:\项目资料\技术文档资料\中康项目资料\11.png"
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# 打开设备
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rows = ctypes.c_uint16()
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cols = ctypes.c_uint16()
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ret = dll.SMiTSenseUsb_OpenAndStart(0, ctypes.byref(rows), ctypes.byref(cols))
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if ret != 0:
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raise RuntimeError("OpenAndStart failed")
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colors = get_unique_colors(image_path)
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rep_colors = get_representative_colors(colors, 12)
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sorted_colors = sort_colors_by_hue(rep_colors)
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rows_val, cols_val = rows.value, cols.value
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frame_size = rows_val * cols_val
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buf_type = ctypes.c_uint16 * frame_size
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buf = buf_type()
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print("12 个代表性颜色（按彩虹顺序）：")
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for i, color in enumerate(sorted_colors, 1):
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print(f"{i}: {color}")
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# 创建一个 NumPy 数组视图，复用内存
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data_array = np.ctypeslib.as_array(buf).reshape((rows_val, cols_val))
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print(f"设备已打开: {rows_val}x{cols_val}")
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try:
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while True:
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ret = dll.SMiTSenseUsb_GetLatestFrame(buf, frame_size)
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time.sleep(1)
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# while True:
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# ret = dll.SMiTSenseUsb_GetLatestFrame(buf, frame_size)
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# if ret == 0:
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# # data_array 已经复用缓冲区内存，每次直接访问即可
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# # 例如打印最大值和前5行前5列的数据
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# print("最大压力值:", data_array.max())
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# print("前5x5数据:\n", data_array[:5, :5])
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# else:
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# print("读取数据帧失败")
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# time.sleep(1) # 每秒读取一帧
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except KeyboardInterrupt:
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print("退出中...")
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finally:
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dll.SMiTSenseUsb_StopAndClose()
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print("设备已关闭")
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show_color_preview(sorted_colors)
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@ -59,7 +59,7 @@ def parse_packet(data):
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# else:
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# return f"未知包类型: {packet_type:#04x}"
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def read_imu(port='COM6', baudrate=9600):
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def read_imu(port='COM8', baudrate=9600):
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ser = serial.Serial(port, baudrate, timeout=1)
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buffer = bytearray()
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94
backend/tests/test44femtobolt.py
Normal file
94
backend/tests/test44femtobolt.py
Normal file
@ -0,0 +1,94 @@
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import os
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.colors import ListedColormap
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import pykinect_azure as pykinect
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class FemtoBoltContourViewer:
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def __init__(self, depth_min=900, depth_max=1100):
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self.depth_min = depth_min
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self.depth_max = depth_max
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# 自定义离散彩虹色，层次明显
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colors = [
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'darkblue', 'blue', 'cyan', 'lime', 'yellow',
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'orange', 'red', 'darkred'
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]
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self.cmap = ListedColormap(colors)
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self.device_handle = None
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self.pykinect = None
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self.config = None
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def _load_sdk(self):
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"""加载并初始化 FemtoBolt SDK"""
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base_dir = os.path.dirname(os.path.abspath(__file__))
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dll_path = os.path.join(base_dir, "..", "dll", "femtobolt", "bin", "k4a.dll")
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self.pykinect = pykinect
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self.pykinect.initialize_libraries(track_body=False, module_k4a_path=dll_path)
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def _configure_device(self):
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"""配置 FemtoBolt 深度相机"""
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self.config = self.pykinect.default_configuration
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self.config.depth_mode = self.pykinect.K4A_DEPTH_MODE_NFOV_UNBINNED
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self.config.camera_fps = self.pykinect.K4A_FRAMES_PER_SECOND_15
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self.config.synchronized_images_only = False
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self.config.color_resolution = 0
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self.device_handle = self.pykinect.start_device(config=self.config)
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def run(self):
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self._load_sdk()
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self._configure_device()
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plt.ion() # 打开交互模式
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fig, ax = plt.subplots(figsize=(7, 7))
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print("FemtoBolt 深度相机启动成功，关闭窗口或 Ctrl+C 退出")
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# 设置离散等高线层次
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levels = np.linspace(self.depth_min, self.depth_max, len(self.cmap.colors) + 1)
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try:
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while plt.fignum_exists(fig.number): # 窗口存在才继续
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capture = self.device_handle.update()
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if capture is None:
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continue
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ret, depth_image = capture.get_depth_image()
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if not ret or depth_image is None:
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continue
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depth = depth_image.astype(np.uint16)
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# 限制深度范围
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depth[depth > self.depth_max] = 0
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depth[depth < self.depth_min] = 0
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depth = depth[0:350, 0:350]
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# 屏蔽无效值
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depth_masked = np.ma.masked_equal(depth, 0)
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|
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# 背景灰色
|
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background = np.ones_like(depth) * 0.5
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|
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# 绘制
|
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ax.clear()
|
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ax.imshow(background, origin='lower', cmap='gray', alpha=0.3)
|
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ax.grid(True, which='both', axis='both', color='white',
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||||
linestyle='--', linewidth=1, zorder=0)
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ax.contourf(depth_masked, levels=levels, cmap=self.cmap,
|
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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")
|
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finally:
|
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if self.device_handle:
|
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self.device_handle.stop()
|
||||
self.device_handle.close()
|
||||
plt.close(fig)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
viewer = FemtoBoltContourViewer(depth_min=900, depth_max=1100)
|
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viewer.run()
|
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@ -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}`)
|
||||
},
|
||||
|
||||
|
||||
@ -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>
|
||||
<!-- 使用img元素显示视频流（优化的Data URL方案） -->
|
||||
<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% - 80px);object-fit:contain;background:#323232;" />
|
||||
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） -->
|
||||
|
||||
</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) => {
|
||||
frameCount++
|
||||
displayFrame(data.image)
|
||||
})
|
||||
// devicesSocket.on('video_frame', (data) => {
|
||||
// frameCount++
|
||||
// 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) => {
|
||||
displayDepthCameraFrame(data.depth_image || data.image)
|
||||
})
|
||||
// devicesSocket.on('depth_camera_frame', (data) => {
|
||||
// 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: {},
|
||||
body_pose: {},
|
||||
foot_data: {}
|
||||
head_data: imu_data,
|
||||
body_data: femtobolt_frame,
|
||||
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);
|
||||
}
|
||||
|
||||
@ -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(()=>{
|
||||
|
||||
})
|
||||
})
|
||||
}
|
||||
|
||||
|
||||
// try {
|
||||
// // 检查是否有活跃的会话ID
|
||||
// if (!row.id) {
|
||||
// throw new Error('缺少会话Id');
|
||||
// }
|
||||
|
||||
// // 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
|
||||
// });
|
||||
const detectionLatestList = async(id)=>{
|
||||
const response = await historyAPI.detectionLatestList(id)
|
||||
console.log(response)
|
||||
// historyAPI.detectionLatestList(id).then((response)=>{
|
||||
// if(response.success){
|
||||
// console.log(response)
|
||||
// }
|
||||
// }).catch(()=>{
|
||||
// })
|
||||
}
|
||||
// // 其他控制方法
|
||||
// const togglePlayPause = () => {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user