提交深度相机配置及其他采集功能

README.md

@@ -8,12 +8,16 @@
 - **实时姿态检测**: 基于MediaPipe的高精度人体姿态识别
 - **多传感器融合**: 整合摄像头、IMU传感器和压力传感器数据
 - **智能分析引擎**: 多维度平衡能力评估算法
+- **实时视频流**: WebSocket实时视频传输和显示
+- **检测数据采集**: 一键采集当前检测状态的数据快照
+- **视频录制功能**: 支持检测过程的视频录制和回放
 - **可视化报告**: 直观的数据图表和分析报告
 - **历史数据管理**: 完整的检测记录存储和对比分析
 
 ### 🔧 技术特点
 - **现代化架构**: Vue 3 + Python Flask 前后端分离
-- **实时通信**: WebSocket 实时数据传输
+- **实时通信**: WebSocket 实时数据传输和视频流
+- **多媒体支持**: 集成视频录制、截图和数据采集功能
 - **跨平台支持**: Windows、macOS、Linux
 - **模块化设计**: 清晰的目录结构，易于扩展和维护
 - **数据安全**: 本地存储，保护用户隐私
@@ -170,9 +174,12 @@ python main.py [选项]
 
 1. **选择患者**: 从患者列表中选择或新建患者
 2. **设备准备**: 确保摄像头和传感器正常连接
-3. **参数配置**: 设置检测时长、采样频率等参数
+3. **开始检测**: 点击开始按钮进行实时检测
-4. **开始检测**: 点击开始按钮进行实时检测
+4. **实时监控**: 通过实时视频流观察检测过程
-5. **查看结果**: 检测完成后查看分析结果和建议
+5. **数据采集**: 在检测过程中点击"检测数据采集"按钮获取当前状态数据
+6. **视频录制**: 使用"开始录制"/"停止录制"按钮记录检测过程
+7. **停止检测**: 完成检测并自动计算检测时长
+8. **查看结果**: 检测完成后查看分析结果和建议
 
 ### 4. 数据分析
 
@@ -214,10 +221,17 @@ python main.py [选项]
 - `main.py`: 主启动脚本和进程管理
 - `app.py`: 主应用和 API 路由
 - `database.py`: SQLite 数据库操作
-- `device_manager.py`: 硬件设备管理
+- `device_manager.py`: 硬件设备管理和视频流处理
 - `detection_engine.py`: 检测算法引擎
 - `data_processor.py`: 数据分析和处理
 
+### 主要API端点
+
+- `POST /api/detection/start`: 开始检测会话
+- `POST /api/detection/{session_id}/stop`: 停止检测会话
+- `POST /api/detection/{session_id}/collect`: 采集检测数据
+- `WebSocket /ws`: 实时数据和视频流传输
+
 ### 前端开发
 
 前端使用 Vue 3 + Element Plus，主要特性：
@@ -314,6 +328,12 @@ A: 检查后端服务是否正常启动，确认防火墙设置，查看浏览
 **Q: 检测结果不准确**
 A: 确保设备已正确校准，检查环境光线条件，调整检测参数设置。
 
+**Q: 视频录制失败**
+A: 检查磁盘空间是否充足，确认录制权限设置，查看后端日志中的错误信息。
+
+**Q: WebSocket连接断开**
+A: 检查网络连接稳定性，确认防火墙未阻止WebSocket连接，尝试刷新页面重新连接。
+
 ### 日志查看
 
 系统日志保存在 `logs/` 目录下：
@@ -359,6 +379,10 @@ A: 确保设备已正确校准，检查环境光线条件，调整检测参数
       "sensors": [p1, p2, p3, p4],
       "center_of_pressure": [x, y]
     }
+  },
+  "recording": {
+    "video_path": "path/to/video.mp4",
+    "screenshots": ["path/to/screenshot1.png"]
   }
 }
 ```
@@ -408,6 +432,14 @@ A: 确保设备已正确校准，检查环境光线条件，调整检测参数
 
 ## 更新日志
 
+### v1.2.0 (2024-01-20)
+- **检测功能增强**: 新增检测数据采集功能，支持实时数据快照
+- **视频录制**: 集成视频录制功能，支持检测过程的完整记录
+- **实时视频流**: 优化WebSocket视频传输，提供流畅的实时监控
+- **API优化**: 重构检测相关API，使用RESTful设计模式
+- **用户体验**: 改进检测界面，添加录制控制和数据采集按钮
+- **生命周期管理**: 完善组件生命周期处理，确保资源正确释放
+
 ### v1.1.0 (2024-01-15)
 - **项目重构**: 前后端完全分离，优化项目结构
 - **新增脚本**: 添加一键安装和启动脚本 (install.bat, start_dev.bat, start_prod.bat)

backend/app.py

@@ -11,7 +11,8 @@ import json
 import time
 import threading
 from datetime import datetime
-from flask import Flask, request, jsonify, send_file
+from flask import Flask, jsonify, send_file
+from flask import request as flask_request
 from flask_cors import CORS
 import sqlite3
 import logging
@@ -27,8 +28,6 @@ sys.path.append(os.path.dirname(os.path.abspath(__file__)))
 # 导入自定义模块
 from database import DatabaseManager
 from device_manager import DeviceManager, VideoStreamManager
-from detection_engine import DetectionEngine, detection_bp
-from data_processor import DataProcessor
 from utils import config as app_config
 
 # 配置日志
@@ -45,13 +44,16 @@ logger = logging.getLogger(__name__)
 # 创建Flask应用
 app = Flask(__name__)
 app.config['SECRET_KEY'] = 'body-balance-detection-system-2024'
-socketio = SocketIO(app, cors_allowed_origins='*', async_mode='threading', logger=False, engineio_logger=False, ping_timeout=60, ping_interval=25)
+socketio = SocketIO(app, 
+                   cors_allowed_origins='*', 
+                   async_mode='threading', 
+                   logger=True, 
+                   engineio_logger=True)
 
 # 启用CORS支持
 CORS(app, origins='*', supports_credentials=True, allow_headers=['Content-Type', 'Authorization'], methods=['GET', 'POST', 'PUT', 'DELETE', 'OPTIONS'])
 
-# 注册Blueprint
+# 注册Blueprint（如需要可在此处添加）
-app.register_blueprint(detection_bp)
 
 # 读取RTSP配置
 config = configparser.ConfigParser()
@@ -61,8 +63,6 @@ device_index = config.get('CAMERA', 'device_index', fallback=None)
 # 全局变量
 db_manager = None
 device_manager = None
-detection_engine = None
-data_processor = None
 current_detection = None
 detection_thread = None
 video_stream_manager = None
@@ -71,7 +71,7 @@ video_stream_manager = None
 
 def init_app():
     """初始化应用"""
-    global db_manager, device_manager, detection_engine, data_processor, video_stream_manager
+    global db_manager, device_manager, video_stream_manager
     
     try:
         # 创建必要的目录
@@ -100,13 +100,10 @@ def init_app():
         db_manager.init_database()
         
         # 初始化设备管理器
-        device_manager = DeviceManager()
+        device_manager = DeviceManager(db_manager)
+        device_manager.set_socketio(socketio)  # 设置WebSocket连接
         
-        # 初始化检测引擎
+
-        detection_engine = DetectionEngine()
-        
-        # 初始化数据处理器
-        data_processor = DataProcessor()
         
         # 初始化视频流管理器
         video_stream_manager = VideoStreamManager(socketio)
@@ -143,7 +140,7 @@ def api_health_check():
 def login():
     """用户登录"""
     try:
-        data = request.get_json()
+        data = flask_request.get_json()
         username = data.get('username')
         password = data.get('password')
         remember = data.get('remember', False)
@@ -202,7 +199,7 @@ def login():
 def register():
     """用户注册"""
     try:
-        data = request.get_json()
+        data = flask_request.get_json()
         username = data.get('username')
         password = data.get('password')
         name = data.get('name') or data.get('email', '')
@@ -264,7 +261,7 @@ def verify_token():
     """验证token"""
     try:
         # 简单的token验证（实际项目中应验证JWT等）
-        auth_header = request.headers.get('Authorization')
+        auth_header = flask_request.headers.get('Authorization')
         if auth_header and auth_header.startswith('Bearer '):
             token = auth_header.split(' ')[1]
             # 这里可以添加真实的token验证逻辑
@@ -285,7 +282,7 @@ def verify_token():
 def forgot_password():
     """忘记密码 - 根据用户名和手机号找回密码"""
     try:
-        data = request.get_json()
+        data = flask_request.get_json()
         username = data.get('username')
         phone = data.get('phone')
         
@@ -359,12 +356,12 @@ def get_users():
     """获取用户列表（管理员功能）"""
     try:
         # 这里应该验证管理员权限
-        page = int(request.args.get('page', 1))
+        page = int(flask_request.args.get('page', 1))
-        size = int(request.args.get('size', 10))
+        size = int(flask_request.args.get('size', 10))
-        status = request.args.get('status')  # active, inactive, all
+        status = flask_request.args.get('status')  # active, inactive, all
         
         users = db_manager.get_users(page, size, status)
-        total = db_manager.get_user_count(status)
+        total = db_manager.get_users_count(status)
         
         return jsonify({
             'success': True,
@@ -385,7 +382,7 @@ def approve_user(user_id):
     """审核用户（管理员功能）"""
     try:
         # 这里应该验证管理员权限
-        data = request.get_json()
+        data = flask_request.get_json()
         approve = data.get('approve', True)
         
         result = db_manager.approve_user(user_id, approve)
@@ -430,28 +427,6 @@ def delete_user(user_id):
         logger.error(f'删除用户失败: {e}')
         return jsonify({'success': False, 'message': '删除用户失败'}), 500
 
-@app.route('/api/auth/reset-password', methods=['POST'])
-def reset_password():
-    """重置密码"""
-    try:
-        data = request.get_json()
-        token = data.get('token')
-        password = data.get('password')
-        
-        if token and password:
-            return jsonify({
-                'success': True,
-                'message': '密码重置成功'
-            })
-        else:
-            return jsonify({
-                'success': False,
-                'message': '参数不完整'
-            }), 400
-            
-    except Exception as e:
-        logger.error(f'重置密码失败: {e}')
-        return jsonify({'success': False, 'message': '重置失败'}), 500
 
 @app.route('/api/system/info', methods=['GET'])
 def get_system_info():
@@ -468,6 +443,82 @@ def get_system_info():
         logger.error(f'获取系统信息失败: {e}')
         return jsonify({'success': False, 'error': str(e)}), 500
 
+
+# ==================== 患者管理API ====================
+
+@app.route('/api/patients', methods=['GET'])
+def get_patients():
+    """获取患者列表"""
+    try:
+        page = int(flask_request.args.get('page', 1))
+        size = int(flask_request.args.get('size', 10))
+        keyword = flask_request.args.get('keyword', '')
+        
+        patients = db_manager.get_patients(page, size, keyword)
+        total = db_manager.get_patients_count(keyword)
+        
+        return jsonify({
+            'success': True,
+            'data': {
+                'patients': patients,
+                'total': total,
+                'page': page,
+                'size': size
+            }
+        })
+    except Exception as e:
+        logger.error(f'获取患者列表失败: {e}')
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+@app.route('/api/patients', methods=['POST'])
+def create_patient():
+    """创建患者"""
+    try:
+        data = flask_request.get_json()
+        patient_id = db_manager.create_patient(data)
+        return jsonify({
+            'success': True,
+            'data': {'patient_id': patient_id},
+            'message': '患者创建成功'
+        })
+    except Exception as e:
+        logger.error(f'创建患者失败: {e}')
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+@app.route('/api/patients/<patient_id>', methods=['PUT'])
+def update_patient(patient_id):
+    """更新患者信息"""
+    try:
+        data = flask_request.get_json()
+        db_manager.update_patient(patient_id, data)
+        return jsonify({'success': True, 'message': '患者信息更新成功'})
+    except Exception as e:
+        logger.error(f'更新患者信息失败: {e}')
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+@app.route('/api/patients/<patient_id>', methods=['GET'])
+def get_patient(patient_id):
+    """获取单个患者信息"""
+    try:
+        patient = db_manager.get_patient(patient_id)
+        if patient:
+            return jsonify({'success': True, 'data': patient})
+        else:
+            return jsonify({'success': False, 'error': '患者不存在'}), 404
+    except Exception as e:
+        logger.error(f'获取患者信息失败: {e}')
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+@app.route('/api/patients/<patient_id>', methods=['DELETE'])
+def delete_patient(patient_id):
+    """删除患者"""
+    try:
+        db_manager.delete_patient(patient_id)
+        return jsonify({'success': True, 'message': '患者删除成功'})
+    except Exception as e:
+        logger.error(f'删除患者失败: {e}')
+        return jsonify({'success': False, 'error': str(e)}), 500
+
 # ==================== 设备管理API ====================
 
 @app.route('/api/devices/status', methods=['GET'])
@@ -506,339 +557,296 @@ def calibrate_devices():
         logger.error(f'设备校准失败: {e}')
         return jsonify({'success': False, 'error': str(e)}), 500
 
-# ==================== 患者管理API ====================
 
-@app.route('/api/patients', methods=['GET'])
+# ==================== 视频推流API ====================
-def get_patients():
+
-    """获取患者列表"""
+@app.route('/api/streaming/start', methods=['POST'])
+def start_video_streaming():
+    """启动视频推流"""
     try:
-        page = int(request.args.get('page', 1))
+        if not device_manager:
-        size = int(request.args.get('size', 10))
+            return jsonify({'success': False, 'error': '设备管理器未初始化'}), 500
-        keyword = request.args.get('keyword', '')
         
-        patients = db_manager.get_patients(page, size, keyword)
+        # 设置WebSocket连接
-        total = db_manager.get_patients_count(keyword)
+        device_manager.set_socketio(socketio)
         
+        result = device_manager.start_streaming()
+        
+        logger.info(f'视频推流启动结果: {result}')
         return jsonify({
             'success': True,
-            'data': {
+            'message': '视频推流已启动',
-                'patients': patients,
+            'streaming_status': result
-                'total': total,
-                'page': page,
-                'size': size
-            }
         })
+        
     except Exception as e:
-        logger.error(f'获取患者列表失败: {e}')
+        logger.error(f'启动视频推流失败: {e}')
         return jsonify({'success': False, 'error': str(e)}), 500
 
-@app.route('/api/patients', methods=['POST'])
+@app.route('/api/streaming/stop', methods=['POST'])
-def create_patient():
+def stop_video_streaming():
-    """创建患者"""
+    """停止视频推流"""
     try:
-        data = request.get_json()
+        if not device_manager:
-        patient_id = db_manager.create_patient(data)
+            return jsonify({'success': False, 'error': '设备管理器未初始化'}), 500
-        return jsonify({
+        
-            'success': True,
+        result = device_manager.stop_streaming()
-            'data': {'patient_id': patient_id},
+        
-            'message': '患者创建成功'
+        if result:
-        })
+            logger.info('视频推流已停止')
-    except Exception as e:
+            return jsonify({
-        logger.error(f'创建患者失败: {e}')
+                'success': True,
-        return jsonify({'success': False, 'error': str(e)}), 500
+                'message': '视频推流已停止'
-
+            })
-@app.route('/api/patients/<patient_id>', methods=['PUT'])
-def update_patient(patient_id):
-    """更新患者信息"""
-    try:
-        data = request.get_json()
-        db_manager.update_patient(patient_id, data)
-        return jsonify({'success': True, 'message': '患者信息更新成功'})
-    except Exception as e:
-        logger.error(f'更新患者信息失败: {e}')
-        return jsonify({'success': False, 'error': str(e)}), 500
-
-@app.route('/api/patients/<patient_id>', methods=['GET'])
-def get_patient(patient_id):
-    """获取单个患者信息"""
-    try:
-        patient = db_manager.get_patient(patient_id)
-        if patient:
-            return jsonify({'success': True, 'data': patient})
         else:
-            return jsonify({'success': False, 'error': '患者不存在'}), 404
+            return jsonify({
+                'success': False,
+                'error': '停止推流失败'
+            }), 500
+            
     except Exception as e:
-        logger.error(f'获取患者信息失败: {e}')
+        logger.error(f'停止视频推流失败: {e}')
         return jsonify({'success': False, 'error': str(e)}), 500
 
-@app.route('/api/patients/<patient_id>', methods=['DELETE'])
+# ==================== 检测API ====================
-def delete_patient(patient_id):
-    """删除患者"""
-    try:
-        db_manager.delete_patient(patient_id)
-        return jsonify({'success': True, 'message': '患者删除成功'})
-    except Exception as e:
-        logger.error(f'删除患者失败: {e}')
-        return jsonify({'success': False, 'error': str(e)}), 500
-
-# ==================== 检测管理API ====================
 
 @app.route('/api/detection/start', methods=['POST'])
 def start_detection():
     """开始检测"""
-    global current_detection, detection_thread
-    
     try:
-        data = request.get_json()
+        if not db_manager:
-        patient_id = data.get('patientId')
+            return jsonify({'success': False, 'error': '数据库管理器未初始化'}), 500
-        settings_str = data.get('settings', '{}')
+        
+        data = flask_request.get_json()
+        patient_id = data.get('patientId') or data.get('patient_id')
+        settings = data.get('settings', '{}')
+        creator_id = data.get('creator_id')
         
         if not patient_id:
-            return jsonify({'success': False, 'error': '缺少患者ID'}), 400
+            return jsonify({
+                'success': False, 
+                'error': '缺少必要参数: patient_id'
+            }), 400
         
-        # 检查是否已有检测在进行
+        # 解析设置参数
-        if current_detection and current_detection.get('status') == 'running':
+        if isinstance(settings, str):
-            return jsonify({'success': False, 'error': '已有检测在进行中'}), 400
+            try:
-        
+                settings = json.loads(settings)
-        # 解析settings参数
+            except json.JSONDecodeError:
-        try:
+                settings = {}
-            if isinstance(settings_str, str):
-                settings = json.loads(settings_str)
-            else:
-                settings = settings_str or {}
-        except json.JSONDecodeError:
-            settings = {}
-        
-        # 设置默认值
-        duration = settings.get('duration', 300)  # 默认5分钟
-        frequency = settings.get('frequency', 30)  # 默认30Hz
         
         # 创建检测会话
         session_id = db_manager.create_detection_session(
-            patient_id=patient_id,
+            patient_id=str(patient_id),
-            settings=settings
+            settings=settings,
+            creator_id=creator_id
         )
         
-        logger.info(f'创建检测会话成功: {session_id}, 患者ID: {patient_id}')
+        if session_id:
-        
+            logger.info(f'检测会话已创建 - 会话ID: {session_id}, 患者ID: {patient_id}')
-        # 初始化检测状态
+            return jsonify({
-        current_detection = {
+                'success': True,
-            'session_id': session_id,
+                'session_id': session_id,
-            'patient_id': patient_id,
+                'message': '检测会话创建成功'
-            'status': 'running',
+            })
-            'start_time': datetime.now(),
+        else:
-            'settings': settings,
+            return jsonify({
-            'data_points': 0
+                'success': False,
-        }
+                'error': '创建检测会话失败'
-        
+            }), 500
-        # 启动检测线程
+            
-        detection_thread = threading.Thread(
-            target=run_detection,
-            args=(session_id, settings)
-        )
-        detection_thread.start()
-        
-        return jsonify({
-            'success': True,
-            'data': {'session_id': session_id},
-            'message': '检测已开始'
-        })
-        
     except Exception as e:
         logger.error(f'开始检测失败: {e}')
         return jsonify({'success': False, 'error': str(e)}), 500
 
-@app.route('/api/detection/stop', methods=['POST'])
+@app.route('/api/detection/<session_id>/stop', methods=['POST'])
-def stop_detection():
+def stop_detection(session_id):
     """停止检测"""
-    global current_detection, detection_thread
-    
     try:
-        data = request.get_json() or {}
+        if not db_manager:
-        session_id = data.get('sessionId')
+            return jsonify({'success': False, 'error': '数据库管理器未初始化'}), 500
-        frontend_duration = data.get('duration', 0)  # 前端计算的持续时间
         
-        if not current_detection or current_detection.get('status') != 'running':
+        if not session_id:
-            return jsonify({'success': False, 'error': '没有正在进行的检测'}), 400
-        
-        # 更新检测状态
-        current_detection['status'] = 'stopped'
-        end_time = datetime.now()
-        current_detection['end_time'] = end_time
-        
-        # 计算持续时间（优先使用前端传递的时间，否则使用后端计算的时间）
-        duration = frontend_duration
-        if duration <= 0:
-            start_time = current_detection.get('start_time')
-            duration = int((end_time - start_time).total_seconds()) if start_time else 0
-        
-        # 等待检测线程结束
-        if detection_thread and detection_thread.is_alive():
-            detection_thread.join(timeout=5)
-        
-        # 如果提供了sessionId，更新数据库中的会话状态
-        if session_id:
-            # 更新会话状态为completed，并设置结束时间
-            db_manager.update_session_status(session_id, 'completed')
-            
-            # 更新持续时间
-            if duration > 0:
-                db_manager.update_session_duration(session_id, duration)
-            
-            logger.info(f'检测会话已停止: {session_id}, 持续时间: {duration}秒')
-            
-            current_detection = None
-            
             return jsonify({
-                'success': True,
+                'success': False, 
-                'message': '检测已停止',
+                'error': '缺少会话ID'
-                'sessionId': session_id,
-                'duration': duration
-            })
-        
-        current_detection = None
-        
-        return jsonify({
-            'success': True,
-            'message': '检测已停止'
-        })
-        
-    except Exception as e:
-        logger.error(f'停止检测失败: {e}')
-        return jsonify({
-            'success': False,
-            'message': f'停止检测失败: {str(e)}'
-        }), 500
-
-@app.route('/api/sessions/<session_id>/video-path', methods=['PUT'])
-def update_session_video_path(session_id):
-    """更新会话视频路径"""
-    try:
-        data = request.get_json()
-        if not data or 'videoPath' not in data:
-            return jsonify({
-                'success': False,
-                'message': '缺少视频路径参数'
             }), 400
         
-        video_path = data['videoPath']
+        # 更新会话状态为已完成
+        success = db_manager.update_session_status(session_id, 'completed')
         
-        # 更新数据库中的视频路径
+        if success:
-        db_manager.update_session_video_path(session_id, video_path)
+            logger.info(f'检测会话已停止 - 会话ID: {session_id}')
-        
-        return jsonify({
-            'success': True,
-            'message': '视频路径更新成功',
-            'sessionId': session_id,
-            'videoPath': video_path
-        })
-        
-    except Exception as e:
-        logger.error(f'更新会话视频路径失败: {e}')
-        return jsonify({
-            'success': False,
-            'message': f'更新失败: {str(e)}'
-        }), 500
-
-@app.route('/api/detection/status', methods=['GET'])
-def get_detection_status():
-    """获取检测状态"""
-    try:
-        if not current_detection:
             return jsonify({
                 'success': True,
-                'data': {'status': 'idle'}
+                'message': '检测已停止'
             })
+        else:
+            return jsonify({
+                'success': False,
+                'error': '停止检测失败'
+            }), 500
+            
+    except Exception as e:
+        logger.error(f'停止检测失败: {e}')
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+@app.route('/api/detection/<session_id>/status', methods=['GET'])
+def get_detection_status(session_id):
+    """获取检测状态"""
+    try:
+        if not db_manager:
+            return jsonify({'success': False, 'error': '数据库管理器未初始化'}), 500
         
-        # 计算运行时间
+        if not session_id:
-        if current_detection.get('status') == 'running':
+            return jsonify({
-            elapsed = (datetime.now() - current_detection['start_time']).total_seconds()
+                'success': False, 
-            current_detection['elapsed_time'] = int(elapsed)
+                'error': '缺少会话ID'
+            }), 400
         
-        return jsonify({
+        # 获取会话数据
-            'success': True,
+        session_data = db_manager.get_session_data(session_id)
-            'data': current_detection
-        })
         
+        if session_data:
+            return jsonify({
+                'success': True,
+                'data': session_data
+            })
+        else:
+            return jsonify({
+                'success': False,
+                'error': '会话不存在'
+            }), 404
+            
     except Exception as e:
         logger.error(f'获取检测状态失败: {e}')
         return jsonify({'success': False, 'error': str(e)}), 500
 
-@app.route('/api/detection/data', methods=['GET'])
+@app.route('/api/detection/<session_id>/collect', methods=['POST'])
-def get_realtime_data():
+def collect_detection_data(session_id):
-    """获取实时检测数据"""
+    """采集检测数据"""
     try:
-        if not current_detection or current_detection.get('status') != 'running':
+        if not db_manager:
-            return jsonify({'success': False, 'error': '没有正在进行的检测'})
+            return jsonify({'success': False, 'error': '数据库管理器未初始化'}), 500
         
-        # 获取最新的检测数据
+        if not device_manager:
-        session_id = current_detection['session_id']
+            return jsonify({'success': False, 'error': '设备管理器未初始化'}), 500
-        data = detection_engine.get_latest_data(session_id)
         
-        return jsonify({
+        # 获取请求数据
-            'success': True,
+        data = flask_request.get_json() or {}
-            'data': data
+        patient_id = data.get('patient_id')
-        })
+        screen_image_base64 = data.get('screen_image')
         
-    except Exception as e:
+        # 如果没有提供patient_id，从会话信息中获取
-        logger.error(f'获取实时数据失败: {e}')
+        if not patient_id:
-        return jsonify({'success': False, 'error': str(e)}), 500
+            session_data = db_manager.get_session_data(session_id)
-
+            if not session_data:
-# ==================== 数据分析API ====================
+                return jsonify({
-
+                    'success': False,
-@app.route('/api/analysis/session/<session_id>', methods=['GET'])
+                    'error': '检测会话不存在'
-def analyze_session(session_id):
+                }), 404
-    """分析检测会话数据"""
+            patient_id = session_data.get('patient_id')
-    try:
-        # 获取会话数据
-        session_data = db_manager.get_session_data(session_id)
-        if not session_data:
-            return jsonify({'success': False, 'error': '会话不存在'}), 404
         
-        # 进行数据分析
+        if not patient_id:
-        analysis_result = data_processor.analyze_session(session_data)
+            return jsonify({
+                'success': False,
+                'error': '无法获取患者ID'
+            }), 400
         
-        # 保存分析结果
+        # 调用设备管理器采集数据
-        db_manager.save_analysis_result(session_id, analysis_result)
+        collected_data = device_manager.collect_data(
-        
+            session_id=session_id,
-        return jsonify({
+            patient_id=patient_id,
-            'success': True,
+            screen_image_base64=screen_image_base64
-            'data': analysis_result
-        })
-        
-    except Exception as e:
-        logger.error(f'分析会话数据失败: {e}')
-        return jsonify({'success': False, 'error': str(e)}), 500
-
-@app.route('/api/export/report/<session_id>', methods=['GET'])
-def export_report(session_id):
-    """导出检测报告"""
-    try:
-        # 生成报告
-        report_path = data_processor.generate_report(session_id)
-        
-        if not os.path.exists(report_path):
-            return jsonify({'success': False, 'error': '报告生成失败'}), 500
-        
-        return send_file(
-            report_path,
-            as_attachment=True,
-            download_name=f'detection_report_{session_id}.pdf'
         )
         
+        # 将采集的数据保存到数据库
+        if collected_data:
+            db_manager.save_detection_data(session_id, collected_data)
+            logger.info(f'检测数据采集并保存成功: {session_id}')
+        
+        return jsonify({
+            'success': True,
+            'data': {
+                'session_id': session_id,
+                'timestamp': collected_data.get('timestamp'),
+                'data_collected': bool(collected_data)
+            },
+            'message': '数据采集成功'
+        })
+        
     except Exception as e:
-        logger.error(f'导出报告失败: {e}')
+        logger.error(f'采集检测数据失败: {e}')
         return jsonify({'success': False, 'error': str(e)}), 500
 
-# ==================== 历史记录API ====================
+# ==================== 同步录制API ====================
+
+@app.route('/api/recording/sync/start', methods=['POST'])
+def start_sync_recording():
+    """启动同步录制"""
+    try:
+        if not device_manager:
+            return jsonify({'success': False, 'error': '设备管理器未初始化'}), 500
+        
+        data = flask_request.get_json()
+        session_id = data.get('session_id')
+        patient_id = data.get('patient_id')
+        
+        if not session_id or not patient_id:
+            return jsonify({
+                'success': False, 
+                'error': '缺少必要参数: session_id 和 patient_id'
+            }), 400
+        
+        result = device_manager.start_recording(session_id, patient_id)
+        
+        if result['success']:
+            logger.info(f'同步录制已启动 - 会话ID: {session_id}, 患者ID: {patient_id}')
+            return jsonify(result)
+        else:
+            return jsonify(result), 500
+            
+    except Exception as e:
+        logger.error(f'启动同步录制失败: {e}')
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+@app.route('/api/recording/sync/stop', methods=['POST'])
+def stop_sync_recording():
+    """停止同步录制"""
+    try:
+        if not device_manager:
+            return jsonify({'success': False, 'error': '设备管理器未初始化'}), 500
+        
+        data = flask_request.get_json()
+        session_id = data.get('session_id')
+        
+        if not session_id:
+            return jsonify({
+                'success': False, 
+                'error': '缺少必要参数: session_id'
+            }), 400
+        
+        result = device_manager.stop_recording(session_id)
+        
+        if result['success']:
+            logger.info(f'同步录制已停止 - 会话ID: {session_id}')
+            return jsonify(result)
+        else:
+            return jsonify(result), 500
+            
+    except Exception as e:
+        logger.error(f'停止同步录制失败: {e}')
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
 
 @app.route('/api/history/sessions', methods=['GET'])
 def get_detection_sessions():
     """获取检测会话历史"""
     try:
-        page = int(request.args.get('page', 1))
+        page = int(flask_request.args.get('page', 1))
-        size = int(request.args.get('size', 10))
+        size = int(flask_request.args.get('size', 10))
-        patient_id = request.args.get('patient_id')
+        patient_id = flask_request.args.get('patient_id')
         
         sessions = db_manager.get_detection_sessions(page, size, patient_id)
         total = db_manager.get_sessions_count(patient_id)
@@ -857,55 +865,6 @@ def get_detection_sessions():
         logger.error(f'获取检测历史失败: {e}')
         return jsonify({'success': False, 'error': str(e)}), 500
 
-def run_detection(session_id, settings):
-    """运行检测的后台线程"""
-    global current_detection
-    
-    try:
-        logger.info(f'开始检测会话: {session_id}')
-        
-        # 检测循环
-        while (current_detection and 
-               current_detection.get('status') == 'running'):
-            
-            # 采集数据
-            if device_manager:
-                data = device_manager.collect_data()
-                if data:
-                    # 保存数据到数据库
-                    db_manager.save_detection_data(session_id, data)
-                    current_detection['data_points'] += 1
-            
-            # 根据采样频率控制循环间隔
-            frequency = settings.get('frequency', 60)
-            time.sleep(1.0 / frequency)
-            
-            # 检查是否达到设定时长
-            duration = settings.get('duration', 0)
-            if duration > 0:
-                elapsed = (datetime.now() - current_detection['start_time']).total_seconds()
-                if elapsed >= duration:
-                    current_detection['status'] = 'completed'
-                    break
-        
-        # 更新会话状态
-        if current_detection:
-            db_manager.update_session_status(
-                session_id, 
-                current_detection['status'],
-                current_detection.get('data_points', 0)
-            )
-        
-        logger.info(f'检测会话完成: {session_id}')
-        
-    except Exception as e:
-        logger.error(f'检测线程异常: {e}')
-        if current_detection:
-            current_detection['status'] = 'error'
-            current_detection['error'] = str(e)
-
-# ==================== 截图和录像API已移至detection_engine.py ====================
-# 相关路由现在通过detection_bp Blueprint提供
 
 # ==================== 错误处理 ====================
 
@@ -956,46 +915,112 @@ if __name__ == '__main__':
 
 # ==================== WebSocket 事件处理 ====================
 
+# 简单的测试事件处理器
+@socketio.on('connect')
+def handle_connect():
+    print('CLIENT CONNECTED!!!', flush=True)
+    logger.info('客户端已连接')
+
+@socketio.on('disconnect')
+def handle_disconnect():
+    print('CLIENT DISCONNECTED!!!', flush=True)
+    logger.info('客户端已断开连接')
+
+# @socketio.on('start_video')
+# def handle_start_video_new(data=None):
+#     print('=== START VIDEO EVENT RECEIVED ===', flush=True)
+#     print(f'Data received: {data}', flush=True)
+#     logger.info('=== START VIDEO EVENT RECEIVED ===')
+#     logger.info(f'Data received: {data}')
+#     emit('video_status', {'status': 'received', 'message': 'start_video事件已接收'})
+#     return {'status': 'success'}
+
+# 原始的start_video处理逻辑（暂时注释）
 @socketio.on('start_video')
 def handle_start_video(data=None):
-    logger.info(f'收到start_video事件，客户端ID: {request.sid}, 数据: {data}')
-    
     try:
+        results = {'status': 'success', 'cameras': {}}
+        
+        logger.info(f'video_stream_manager状态: {video_stream_manager is not None}')
+        logger.info(f'device_manager状态: {device_manager is not None}')
+        
+        # 启动视频流管理器（普通摄像头）
         if video_stream_manager:
-            result = video_stream_manager.start_video_stream()
+            logger.info('正在启动视频流管理器...')
-            emit('video_status', result)
+            video_result = video_stream_manager.start_video_stream()
+            logger.info(f'视频流管理器启动结果: {video_result}')
+            results['cameras']['normal'] = video_result
         else:
-            emit('video_status', {'status': 'error', 'message': '视频流管理器未初始化'})
+            logger.error('视频流管理器未初始化')
+            results['cameras']['normal'] = {'status': 'error', 'message': '视频流管理器未初始化'}
+        
+        # 启动FemtoBolt深度相机
+        if device_manager:
+            logger.info('正在启动FemtoBolt深度相机...')
+            femtobolt_result = device_manager.start_femtobolt_stream()
+            logger.info(f'FemtoBolt启动结果: {femtobolt_result}')
+            if femtobolt_result:
+                results['cameras']['femtobolt'] = {'status': 'success', 'message': 'FemtoBolt深度相机推流已启动'}
+            else:
+                results['cameras']['femtobolt'] = {'status': 'error', 'message': 'FemtoBolt深度相机启动失败'}
+        else:
+            logger.error('设备管理器未初始化')
+            results['cameras']['femtobolt'] = {'status': 'error', 'message': '设备管理器未初始化'}
+        
+        # 检查是否有任何相机启动成功
+        success_count = sum(1 for cam_result in results['cameras'].values() if cam_result.get('status') == 'success')
+        if success_count == 0:
+            results['status'] = 'error'
+            results['message'] = '所有相机启动失败'
+        elif success_count < len(results['cameras']):
+            results['status'] = 'partial'
+            results['message'] = f'{success_count}/{len(results["cameras"])}个相机启动成功'
+        else:
+            results['message'] = '所有相机启动成功'
+        
+        logger.info(f'发送video_status事件: {results}')
+        emit('video_status', results)
         
     except Exception as e:
-        logger.error(f'启动视频流失败: {e}')
+        logger.error(f'启动视频流失败: {e}', exc_info=True)
         emit('video_status', {'status': 'error', 'message': f'启动失败: {str(e)}'})
 
 @socketio.on('stop_video')
 def handle_stop_video(data=None):
-    logger.info(f'收到stop_video事件，客户端ID: {request.sid}, 数据: {data}')
+    logger.info(f'收到stop_video事件，数据: {data}')
     
     try:
+        results = {'status': 'success', 'cameras': {}}
+        
+        # 停止视频流管理器（普通摄像头）
         if video_stream_manager:
-            result = video_stream_manager.stop_video_stream()
+            video_result = video_stream_manager.stop_video_stream()
-            emit('video_status', result)
+            results['cameras']['normal'] = video_result
         else:
-            emit('video_status', {'status': 'error', 'message': '视频流管理器未初始化'})
+            results['cameras']['normal'] = {'status': 'error', 'message': '视频流管理器未初始化'}
+        
+        # 停止FemtoBolt深度相机
+        if device_manager:
+            device_manager.stop_femtobolt_stream()
+            results['cameras']['femtobolt'] = {'status': 'success', 'message': 'FemtoBolt深度相机推流已停止'}
+        else:
+            results['cameras']['femtobolt'] = {'status': 'error', 'message': '设备管理器未初始化'}
+        
+        # 检查是否有任何相机停止成功
+        success_count = sum(1 for cam_result in results['cameras'].values() if cam_result.get('status') == 'success')
+        if success_count == 0:
+            results['status'] = 'error'
+            results['message'] = '所有相机停止失败'
+        elif success_count < len(results['cameras']):
+            results['status'] = 'partial'
+            results['message'] = f'{success_count}/{len(results["cameras"])}个相机停止成功'
+        else:
+            results['message'] = '所有相机停止成功'
+        
+        emit('video_status', results)
         
     except Exception as e:
         logger.error(f'停止视频流失败: {e}')
         emit('video_status', {'status': 'error', 'message': f'停止失败: {str(e)}'})
 
-@socketio.on('connect')
+# 重复的事件处理器已删除，使用前面定义的版本
-def handle_connect():
-    logger.info(f'客户端连接: {request.sid}')
-    emit('connect_status', {'status': 'connected', 'sid': request.sid, 'message': '连接成功'})
-
-@socketio.on('disconnect')
-def handle_disconnect():
-    logger.info(f'客户端断开连接: {request.sid}')
-
-@socketio.on('ping')
-def handle_ping(data=None):
-    logger.info(f'收到ping事件，客户端ID: {request.sid}, 数据: {data}')
-    emit('pong', {'timestamp': time.time(), 'message': 'pong'})

backend/data_processor.py

@@ -1,730 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-数据处理模块
-负责数据分析、报告生成和数据导出
-"""
-
-import os
-import json
-import numpy as np
-import pandas as pd
-from datetime import datetime, timedelta
-from typing import Dict, List, Optional, Any, Tuple
-import logging
-from pathlib import Path
-import matplotlib.pyplot as plt
-import matplotlib.dates as mdates
-from matplotlib.backends.backend_pdf import PdfPages
-import seaborn as sns
-from reportlab.lib.pagesizes import letter, A4
-from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle
-from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
-from reportlab.lib.units import inch
-from reportlab.lib import colors
-from reportlab.pdfgen import canvas
-from reportlab.lib.utils import ImageReader
-from io import BytesIO
-
-logger = logging.getLogger(__name__)
-
-# 设置中文字体
-plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei']
-plt.rcParams['axes.unicode_minus'] = False
-sns.set_style("whitegrid")
-
-class DataProcessor:
-    """数据处理器"""
-    
-    def __init__(self):
-        self.export_dir = Path('exports')
-        self.charts_dir = Path('charts')
-        
-        # 创建必要的目录
-        self.export_dir.mkdir(exist_ok=True)
-        self.charts_dir.mkdir(exist_ok=True)
-        
-        logger.info('数据处理器初始化完成')
-    
-    def analyze_session(self, session_data: Dict[str, Any]) -> Dict[str, Any]:
-        """分析会话数据"""
-        try:
-            if not session_data or 'data' not in session_data:
-                return {'error': '没有可分析的数据'}
-            
-            data_points = session_data['data']
-            if not data_points:
-                return {'error': '数据为空'}
-            
-            # 数据预处理
-            processed_data = self._preprocess_session_data(data_points)
-            
-            # 统计分析
-            statistical_analysis = self._statistical_analysis(processed_data)
-            
-            # 趋势分析
-            trend_analysis = self._trend_analysis(processed_data)
-            
-            # 异常检测
-            anomaly_analysis = self._anomaly_detection(processed_data)
-            
-            # 生成图表
-            charts = self._generate_charts(processed_data, session_data['id'])
-            
-            analysis_result = {
-                'session_info': {
-                    'session_id': session_data['id'],
-                    'patient_name': session_data.get('patient_name', '未知'),
-                    'start_time': session_data.get('start_time'),
-                    'end_time': session_data.get('end_time'),
-                    'duration': session_data.get('duration'),
-                    'data_points': len(data_points)
-                },
-                'statistical': statistical_analysis,
-                'trends': trend_analysis,
-                'anomalies': anomaly_analysis,
-                'charts': charts,
-                'summary': self._generate_summary(statistical_analysis, trend_analysis, anomaly_analysis)
-            }
-            
-            return analysis_result
-            
-        except Exception as e:
-            logger.error(f'会话数据分析失败: {e}')
-            return {'error': str(e)}
-    
-    def _preprocess_session_data(self, data_points: List[Dict]) -> Dict[str, List]:
-        """预处理会话数据"""
-        processed = {
-            'timestamps': [],
-            'pressure_left': [],
-            'pressure_right': [],
-            'pressure_total': [],
-            'balance_index': [],
-            'center_of_pressure_x': [],
-            'center_of_pressure_y': [],
-            'imu_pitch': [],
-            'imu_roll': [],
-            'imu_accel_total': []
-        }
-        
-        for point in data_points:
-            try:
-                # 解析时间戳
-                timestamp = datetime.fromisoformat(point['timestamp'].replace('Z', '+00:00'))
-                processed['timestamps'].append(timestamp)
-                
-                # 解析数据值
-                data_value = point['data_value']
-                
-                if point['data_type'] == 'pressure':
-                    processed['pressure_left'].append(data_value.get('left_foot', 0))
-                    processed['pressure_right'].append(data_value.get('right_foot', 0))
-                    processed['pressure_total'].append(data_value.get('total_pressure', 0))
-                    processed['balance_index'].append(data_value.get('balance_index', 0))
-                    
-                    cop = data_value.get('center_of_pressure', {'x': 0, 'y': 0})
-                    processed['center_of_pressure_x'].append(cop.get('x', 0))
-                    processed['center_of_pressure_y'].append(cop.get('y', 0))
-                
-                elif point['data_type'] == 'imu':
-                    processed['imu_pitch'].append(data_value.get('pitch', 0))
-                    processed['imu_roll'].append(data_value.get('roll', 0))
-                    processed['imu_accel_total'].append(data_value.get('total_accel', 0))
-                    
-            except Exception as e:
-                logger.warning(f'数据点处理失败: {e}')
-                continue
-        
-        return processed
-    
-    def _statistical_analysis(self, data: Dict[str, List]) -> Dict[str, Any]:
-        """统计分析"""
-        try:
-            stats = {}
-            
-            # 压力数据统计
-            if data['pressure_total']:
-                pressure_total = np.array(data['pressure_total'])
-                stats['pressure'] = {
-                    'mean': float(np.mean(pressure_total)),
-                    'std': float(np.std(pressure_total)),
-                    'min': float(np.min(pressure_total)),
-                    'max': float(np.max(pressure_total)),
-                    'median': float(np.median(pressure_total))
-                }
-                
-                # 左右脚压力分析
-                if data['pressure_left'] and data['pressure_right']:
-                    left_pressure = np.array(data['pressure_left'])
-                    right_pressure = np.array(data['pressure_right'])
-                    
-                    stats['pressure_distribution'] = {
-                        'left_mean': float(np.mean(left_pressure)),
-                        'right_mean': float(np.mean(right_pressure)),
-                        'left_ratio': float(np.mean(left_pressure) / np.mean(pressure_total)) if np.mean(pressure_total) > 0 else 0,
-                        'right_ratio': float(np.mean(right_pressure) / np.mean(pressure_total)) if np.mean(pressure_total) > 0 else 0,
-                        'asymmetry': float(abs(np.mean(left_pressure) - np.mean(right_pressure)) / np.mean(pressure_total)) if np.mean(pressure_total) > 0 else 0
-                    }
-            
-            # 平衡指数统计
-            if data['balance_index']:
-                balance_index = np.array(data['balance_index'])
-                stats['balance'] = {
-                    'mean': float(np.mean(balance_index)),
-                    'std': float(np.std(balance_index)),
-                    'min': float(np.min(balance_index)),
-                    'max': float(np.max(balance_index)),
-                    'stability_score': float(1.0 - np.std(balance_index))  # 稳定性评分
-                }
-            
-            # 重心位置统计
-            if data['center_of_pressure_x'] and data['center_of_pressure_y']:
-                cop_x = np.array(data['center_of_pressure_x'])
-                cop_y = np.array(data['center_of_pressure_y'])
-                
-                stats['center_of_pressure'] = {
-                    'mean_x': float(np.mean(cop_x)),
-                    'mean_y': float(np.mean(cop_y)),
-                    'std_x': float(np.std(cop_x)),
-                    'std_y': float(np.std(cop_y)),
-                    'range_x': float(np.max(cop_x) - np.min(cop_x)),
-                    'range_y': float(np.max(cop_y) - np.min(cop_y)),
-                    'total_displacement': float(np.sqrt(np.std(cop_x)**2 + np.std(cop_y)**2))
-                }
-            
-            # IMU数据统计
-            if data['imu_pitch'] and data['imu_roll']:
-                pitch = np.array(data['imu_pitch'])
-                roll = np.array(data['imu_roll'])
-                
-                stats['posture'] = {
-                    'mean_pitch': float(np.mean(pitch)),
-                    'mean_roll': float(np.mean(roll)),
-                    'std_pitch': float(np.std(pitch)),
-                    'std_roll': float(np.std(roll)),
-                    'max_pitch': float(np.max(np.abs(pitch))),
-                    'max_roll': float(np.max(np.abs(roll))),
-                    'posture_stability': float(1.0 - (np.std(pitch) + np.std(roll)) / 20)  # 姿态稳定性
-                }
-            
-            return stats
-            
-        except Exception as e:
-            logger.error(f'统计分析失败: {e}')
-            return {}
-    
-    def _trend_analysis(self, data: Dict[str, List]) -> Dict[str, Any]:
-        """趋势分析"""
-        try:
-            trends = {}
-            
-            # 平衡指数趋势
-            if data['balance_index'] and len(data['balance_index']) > 10:
-                balance_trend = self._calculate_trend(data['balance_index'])
-                trends['balance_trend'] = {
-                    'slope': balance_trend['slope'],
-                    'direction': 'improving' if balance_trend['slope'] < 0 else 'deteriorating' if balance_trend['slope'] > 0 else 'stable',
-                    'correlation': balance_trend['correlation']
-                }
-            
-            # 压力分布趋势
-            if data['pressure_left'] and data['pressure_right'] and len(data['pressure_left']) > 10:
-                left_trend = self._calculate_trend(data['pressure_left'])
-                right_trend = self._calculate_trend(data['pressure_right'])
-                
-                trends['pressure_trend'] = {
-                    'left_slope': left_trend['slope'],
-                    'right_slope': right_trend['slope'],
-                    'asymmetry_trend': 'increasing' if abs(left_trend['slope'] - right_trend['slope']) > 0.1 else 'stable'
-                }
-            
-            # 姿态趋势
-            if data['imu_pitch'] and data['imu_roll'] and len(data['imu_pitch']) > 10:
-                pitch_trend = self._calculate_trend(data['imu_pitch'])
-                roll_trend = self._calculate_trend(data['imu_roll'])
-                
-                trends['posture_trend'] = {
-                    'pitch_slope': pitch_trend['slope'],
-                    'roll_slope': roll_trend['slope'],
-                    'stability_trend': 'improving' if abs(pitch_trend['slope']) + abs(roll_trend['slope']) < 0.1 else 'deteriorating'
-                }
-            
-            return trends
-            
-        except Exception as e:
-            logger.error(f'趋势分析失败: {e}')
-            return {}
-    
-    def _calculate_trend(self, values: List[float]) -> Dict[str, float]:
-        """计算趋势"""
-        try:
-            x = np.arange(len(values))
-            y = np.array(values)
-            
-            # 线性回归
-            slope, intercept = np.polyfit(x, y, 1)
-            correlation = np.corrcoef(x, y)[0, 1]
-            
-            return {
-                'slope': float(slope),
-                'intercept': float(intercept),
-                'correlation': float(correlation)
-            }
-            
-        except Exception as e:
-            logger.error(f'趋势计算失败: {e}')
-            return {'slope': 0, 'intercept': 0, 'correlation': 0}
-    
-    def _anomaly_detection(self, data: Dict[str, List]) -> Dict[str, Any]:
-        """异常检测"""
-        try:
-            anomalies = {}
-            
-            # 检测平衡指数异常
-            if data['balance_index']:
-                balance_anomalies = self._detect_outliers(data['balance_index'])
-                anomalies['balance_anomalies'] = {
-                    'count': len(balance_anomalies),
-                    'percentage': len(balance_anomalies) / len(data['balance_index']) * 100,
-                    'indices': balance_anomalies
-                }
-            
-            # 检测压力异常
-            if data['pressure_total']:
-                pressure_anomalies = self._detect_outliers(data['pressure_total'])
-                anomalies['pressure_anomalies'] = {
-                    'count': len(pressure_anomalies),
-                    'percentage': len(pressure_anomalies) / len(data['pressure_total']) * 100,
-                    'indices': pressure_anomalies
-                }
-            
-            # 检测姿态异常
-            if data['imu_pitch'] and data['imu_roll']:
-                pitch_anomalies = self._detect_outliers(data['imu_pitch'])
-                roll_anomalies = self._detect_outliers(data['imu_roll'])
-                
-                anomalies['posture_anomalies'] = {
-                    'pitch_count': len(pitch_anomalies),
-                    'roll_count': len(roll_anomalies),
-                    'total_percentage': (len(pitch_anomalies) + len(roll_anomalies)) / (len(data['imu_pitch']) + len(data['imu_roll'])) * 100
-                }
-            
-            return anomalies
-            
-        except Exception as e:
-            logger.error(f'异常检测失败: {e}')
-            return {}
-    
-    def _detect_outliers(self, values: List[float], threshold: float = 2.0) -> List[int]:
-        """检测异常值"""
-        try:
-            data = np.array(values)
-            mean = np.mean(data)
-            std = np.std(data)
-            
-            # 使用Z-score方法检测异常值
-            z_scores = np.abs((data - mean) / std)
-            outlier_indices = np.where(z_scores > threshold)[0].tolist()
-            
-            return outlier_indices
-            
-        except Exception as e:
-            logger.error(f'异常值检测失败: {e}')
-            return []
-    
-    def _generate_charts(self, data: Dict[str, List], session_id: str) -> Dict[str, str]:
-        """生成图表"""
-        try:
-            charts = {}
-            
-            # 创建会话专用目录
-            session_charts_dir = self.charts_dir / session_id
-            session_charts_dir.mkdir(exist_ok=True)
-            
-            # 生成平衡指数时间序列图
-            if data['timestamps'] and data['balance_index']:
-                chart_path = self._create_balance_chart(data, session_charts_dir)
-                if chart_path:
-                    charts['balance_chart'] = str(chart_path)
-            
-            # 生成压力分布图
-            if data['timestamps'] and data['pressure_left'] and data['pressure_right']:
-                chart_path = self._create_pressure_chart(data, session_charts_dir)
-                if chart_path:
-                    charts['pressure_chart'] = str(chart_path)
-            
-            # 生成重心轨迹图
-            if data['center_of_pressure_x'] and data['center_of_pressure_y']:
-                chart_path = self._create_cop_trajectory_chart(data, session_charts_dir)
-                if chart_path:
-                    charts['cop_trajectory_chart'] = str(chart_path)
-            
-            # 生成姿态角度图
-            if data['timestamps'] and data['imu_pitch'] and data['imu_roll']:
-                chart_path = self._create_posture_chart(data, session_charts_dir)
-                if chart_path:
-                    charts['posture_chart'] = str(chart_path)
-            
-            return charts
-            
-        except Exception as e:
-            logger.error(f'图表生成失败: {e}')
-            return {}
-    
-    def _create_balance_chart(self, data: Dict[str, List], output_dir: Path) -> Optional[Path]:
-        """创建平衡指数图表"""
-        try:
-            plt.figure(figsize=(12, 6))
-            
-            timestamps = data['timestamps'][:len(data['balance_index'])]
-            plt.plot(timestamps, data['balance_index'], 'b-', linewidth=1.5, label='平衡指数')
-            
-            # 添加平均线
-            mean_balance = np.mean(data['balance_index'])
-            plt.axhline(y=mean_balance, color='r', linestyle='--', alpha=0.7, label=f'平均值: {mean_balance:.3f}')
-            
-            plt.title('平衡指数时间序列', fontsize=14, fontweight='bold')
-            plt.xlabel('时间', fontsize=12)
-            plt.ylabel('平衡指数', fontsize=12)
-            plt.legend()
-            plt.grid(True, alpha=0.3)
-            
-            # 格式化时间轴
-            plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
-            plt.xticks(rotation=45)
-            
-            plt.tight_layout()
-            
-            chart_path = output_dir / 'balance_chart.png'
-            plt.savefig(chart_path, dpi=300, bbox_inches='tight')
-            plt.close()
-            
-            return chart_path
-            
-        except Exception as e:
-            logger.error(f'平衡图表创建失败: {e}')
-            plt.close()
-            return None
-    
-    def _create_pressure_chart(self, data: Dict[str, List], output_dir: Path) -> Optional[Path]:
-        """创建压力分布图表"""
-        try:
-            fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 10))
-            
-            timestamps = data['timestamps'][:min(len(data['pressure_left']), len(data['pressure_right']))]
-            pressure_left = data['pressure_left'][:len(timestamps)]
-            pressure_right = data['pressure_right'][:len(timestamps)]
-            
-            # 上图：左右脚压力对比
-            ax1.plot(timestamps, pressure_left, 'b-', linewidth=1.5, label='左脚压力')
-            ax1.plot(timestamps, pressure_right, 'r-', linewidth=1.5, label='右脚压力')
-            ax1.set_title('左右脚压力对比', fontsize=14, fontweight='bold')
-            ax1.set_ylabel('压力值', fontsize=12)
-            ax1.legend()
-            ax1.grid(True, alpha=0.3)
-            
-            # 下图：压力比例
-            total_pressure = np.array(pressure_left) + np.array(pressure_right)
-            left_ratio = np.array(pressure_left) / total_pressure * 100
-            right_ratio = np.array(pressure_right) / total_pressure * 100
-            
-            ax2.plot(timestamps, left_ratio, 'b-', linewidth=1.5, label='左脚比例')
-            ax2.plot(timestamps, right_ratio, 'r-', linewidth=1.5, label='右脚比例')
-            ax2.axhline(y=50, color='g', linestyle='--', alpha=0.7, label='理想平衡线')
-            ax2.set_title('左右脚压力比例', fontsize=14, fontweight='bold')
-            ax2.set_xlabel('时间', fontsize=12)
-            ax2.set_ylabel('压力比例 (%)', fontsize=12)
-            ax2.legend()
-            ax2.grid(True, alpha=0.3)
-            
-            # 格式化时间轴
-            for ax in [ax1, ax2]:
-                ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
-                plt.setp(ax.xaxis.get_majorticklabels(), rotation=45)
-            
-            plt.tight_layout()
-            
-            chart_path = output_dir / 'pressure_chart.png'
-            plt.savefig(chart_path, dpi=300, bbox_inches='tight')
-            plt.close()
-            
-            return chart_path
-            
-        except Exception as e:
-            logger.error(f'压力图表创建失败: {e}')
-            plt.close()
-            return None
-    
-    def _create_cop_trajectory_chart(self, data: Dict[str, List], output_dir: Path) -> Optional[Path]:
-        """创建重心轨迹图表"""
-        try:
-            plt.figure(figsize=(10, 8))
-            
-            x_positions = data['center_of_pressure_x']
-            y_positions = data['center_of_pressure_y']
-            
-            # 绘制轨迹
-            plt.plot(x_positions, y_positions, 'b-', linewidth=1, alpha=0.7, label='重心轨迹')
-            plt.scatter(x_positions[0], y_positions[0], color='g', s=100, marker='o', label='起始点')
-            plt.scatter(x_positions[-1], y_positions[-1], color='r', s=100, marker='s', label='结束点')
-            
-            # 添加中心点
-            center_x = np.mean(x_positions)
-            center_y = np.mean(y_positions)
-            plt.scatter(center_x, center_y, color='orange', s=150, marker='*', label='平均中心')
-            
-            # 添加置信椭圆
-            self._add_confidence_ellipse(x_positions, y_positions, plt.gca())
-            
-            plt.title('重心轨迹图', fontsize=14, fontweight='bold')
-            plt.xlabel('X方向位移 (mm)', fontsize=12)
-            plt.ylabel('Y方向位移 (mm)', fontsize=12)
-            plt.legend()
-            plt.grid(True, alpha=0.3)
-            plt.axis('equal')
-            
-            plt.tight_layout()
-            
-            chart_path = output_dir / 'cop_trajectory_chart.png'
-            plt.savefig(chart_path, dpi=300, bbox_inches='tight')
-            plt.close()
-            
-            return chart_path
-            
-        except Exception as e:
-            logger.error(f'重心轨迹图表创建失败: {e}')
-            plt.close()
-            return None
-    
-    def _add_confidence_ellipse(self, x: List[float], y: List[float], ax, n_std: float = 2.0):
-        """添加置信椭圆"""
-        try:
-            from matplotlib.patches import Ellipse
-            import matplotlib.transforms as transforms
-            
-            x_arr = np.array(x)
-            y_arr = np.array(y)
-            
-            cov = np.cov(x_arr, y_arr)
-            pearson = cov[0, 1] / np.sqrt(cov[0, 0] * cov[1, 1])
-            
-            ell_radius_x = np.sqrt(1 + pearson)
-            ell_radius_y = np.sqrt(1 - pearson)
-            
-            ellipse = Ellipse((0, 0), width=ell_radius_x * 2, height=ell_radius_y * 2,
-                            facecolor='none', edgecolor='red', alpha=0.5, linestyle='--')
-            
-            scale_x = np.sqrt(cov[0, 0]) * n_std
-            scale_y = np.sqrt(cov[1, 1]) * n_std
-            
-            mean_x = np.mean(x_arr)
-            mean_y = np.mean(y_arr)
-            
-            transf = transforms.Affine2D().scale(scale_x, scale_y).translate(mean_x, mean_y)
-            ellipse.set_transform(transf + ax.transData)
-            
-            ax.add_patch(ellipse)
-            
-        except Exception as e:
-            logger.warning(f'置信椭圆添加失败: {e}')
-    
-    def _create_posture_chart(self, data: Dict[str, List], output_dir: Path) -> Optional[Path]:
-        """创建姿态角度图表"""
-        try:
-            plt.figure(figsize=(12, 8))
-            
-            timestamps = data['timestamps'][:min(len(data['imu_pitch']), len(data['imu_roll']))]
-            pitch = data['imu_pitch'][:len(timestamps)]
-            roll = data['imu_roll'][:len(timestamps)]
-            
-            plt.subplot(2, 1, 1)
-            plt.plot(timestamps, pitch, 'b-', linewidth=1.5, label='俯仰角')
-            plt.axhline(y=0, color='g', linestyle='--', alpha=0.7, label='理想位置')
-            plt.title('俯仰角变化', fontsize=14, fontweight='bold')
-            plt.ylabel('角度 (度)', fontsize=12)
-            plt.legend()
-            plt.grid(True, alpha=0.3)
-            
-            plt.subplot(2, 1, 2)
-            plt.plot(timestamps, roll, 'r-', linewidth=1.5, label='翻滚角')
-            plt.axhline(y=0, color='g', linestyle='--', alpha=0.7, label='理想位置')
-            plt.title('翻滚角变化', fontsize=14, fontweight='bold')
-            plt.xlabel('时间', fontsize=12)
-            plt.ylabel('角度 (度)', fontsize=12)
-            plt.legend()
-            plt.grid(True, alpha=0.3)
-            
-            # 格式化时间轴
-            for i in range(1, 3):
-                ax = plt.subplot(2, 1, i)
-                ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
-                plt.setp(ax.xaxis.get_majorticklabels(), rotation=45)
-            
-            plt.tight_layout()
-            
-            chart_path = output_dir / 'posture_chart.png'
-            plt.savefig(chart_path, dpi=300, bbox_inches='tight')
-            plt.close()
-            
-            return chart_path
-            
-        except Exception as e:
-            logger.error(f'姿态图表创建失败: {e}')
-            plt.close()
-            return None
-    
-    def _generate_summary(self, statistical: Dict, trends: Dict, anomalies: Dict) -> Dict[str, Any]:
-        """生成分析摘要"""
-        try:
-            summary = {
-                'overall_assessment': 'normal',
-                'key_findings': [],
-                'recommendations': []
-            }
-            
-            # 分析平衡状况
-            if 'balance' in statistical:
-                balance_mean = statistical['balance']['mean']
-                if balance_mean > 0.3:
-                    summary['key_findings'].append('平衡能力较差，重心摆动较大')
-                    summary['recommendations'].append('建议进行平衡训练，加强核心肌群锻炼')
-                    summary['overall_assessment'] = 'poor'
-                elif balance_mean > 0.15:
-                    summary['key_findings'].append('平衡能力一般，有改善空间')
-                    summary['recommendations'].append('建议适当增加平衡练习')
-                    if summary['overall_assessment'] == 'normal':
-                        summary['overall_assessment'] = 'fair'
-                else:
-                    summary['key_findings'].append('平衡能力良好')
-            
-            # 分析压力分布
-            if 'pressure_distribution' in statistical:
-                asymmetry = statistical['pressure_distribution']['asymmetry']
-                if asymmetry > 0.2:
-                    summary['key_findings'].append('左右脚压力分布不均，存在明显偏重')
-                    summary['recommendations'].append('注意纠正站立姿势，均匀分配体重')
-                    if summary['overall_assessment'] in ['normal', 'fair']:
-                        summary['overall_assessment'] = 'fair'
-            
-            # 分析姿态稳定性
-            if 'posture' in statistical:
-                posture_stability = statistical['posture'].get('posture_stability', 1.0)
-                if posture_stability < 0.7:
-                    summary['key_findings'].append('姿态稳定性较差，身体摆动较大')
-                    summary['recommendations'].append('建议进行姿态矫正训练')
-                    if summary['overall_assessment'] == 'normal':
-                        summary['overall_assessment'] = 'fair'
-            
-            # 分析异常情况
-            if anomalies:
-                total_anomalies = 0
-                for key, value in anomalies.items():
-                    if isinstance(value, dict) and 'count' in value:
-                        total_anomalies += value['count']
-                
-                if total_anomalies > 10:
-                    summary['key_findings'].append(f'检测到{total_anomalies}个异常数据点')
-                    summary['recommendations'].append('建议重新进行检测或咨询专业医师')
-            
-            # 默认建议
-            if not summary['recommendations']:
-                summary['recommendations'].append('继续保持良好的平衡训练习惯')
-            
-            return summary
-            
-        except Exception as e:
-            logger.error(f'摘要生成失败: {e}')
-            return {
-                'overall_assessment': 'unknown',
-                'key_findings': ['分析过程中出现错误'],
-                'recommendations': ['建议重新进行检测']
-            }
-    
-    def generate_report(self, session_id: str) -> str:
-        """生成PDF报告"""
-        try:
-            # 这里应该从数据库获取会话数据和分析结果
-            # 目前返回一个模拟的报告路径
-            report_path = self.export_dir / f'report_{session_id}_{datetime.now().strftime("%Y%m%d_%H%M%S")}.pdf'
-            
-            # 创建简单的PDF报告
-            self._create_simple_pdf_report(session_id, report_path)
-            
-            return str(report_path)
-            
-        except Exception as e:
-            logger.error(f'报告生成失败: {e}')
-            raise
-    
-    def _create_simple_pdf_report(self, session_id: str, output_path: Path):
-        """创建简单的PDF报告"""
-        try:
-            from reportlab.pdfgen import canvas
-            from reportlab.lib.pagesizes import A4
-            
-            c = canvas.Canvas(str(output_path), pagesize=A4)
-            width, height = A4
-            
-            # 标题
-            c.setFont("Helvetica-Bold", 20)
-            c.drawString(50, height - 50, "Balance Detection Report")
-            
-            # 会话信息
-            c.setFont("Helvetica", 12)
-            y_position = height - 100
-            
-            c.drawString(50, y_position, f"Session ID: {session_id}")
-            y_position -= 20
-            c.drawString(50, y_position, f"Report Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
-            y_position -= 40
-            
-            # 报告内容
-            c.drawString(50, y_position, "Analysis Summary:")
-            y_position -= 20
-            c.drawString(70, y_position, "• Balance assessment completed")
-            y_position -= 20
-            c.drawString(70, y_position, "• Posture analysis performed")
-            y_position -= 20
-            c.drawString(70, y_position, "• Movement patterns evaluated")
-            
-            c.save()
-            logger.info(f'PDF报告已生成: {output_path}')
-            
-        except Exception as e:
-            logger.error(f'PDF报告创建失败: {e}')
-            raise
-    
-    def export_data(self, session_id: str, format: str = 'csv') -> str:
-        """导出数据"""
-        try:
-            timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-            
-            if format.lower() == 'csv':
-                export_path = self.export_dir / f'data_{session_id}_{timestamp}.csv'
-                # 这里应该从数据库获取数据并导出为CSV
-                # 目前创建一个示例文件
-                with open(export_path, 'w', encoding='utf-8') as f:
-                    f.write('timestamp,data_type,value\n')
-                    f.write(f'{datetime.now().isoformat()},sample,0.5\n')
-                
-            elif format.lower() == 'json':
-                export_path = self.export_dir / f'data_{session_id}_{timestamp}.json'
-                # 导出为JSON格式
-                sample_data = {
-                    'session_id': session_id,
-                    'export_time': datetime.now().isoformat(),
-                    'data': []
-                }
-                with open(export_path, 'w', encoding='utf-8') as f:
-                    json.dump(sample_data, f, ensure_ascii=False, indent=2)
-            
-            else:
-                raise ValueError(f'不支持的导出格式: {format}')
-            
-            logger.info(f'数据已导出: {export_path}')
-            return str(export_path)
-            
-        except Exception as e:
-            logger.error(f'数据导出失败: {e}')
-            raise

backend/database.py

@@ -27,6 +27,183 @@ class DatabaseManager:
         """获取中国时区的当前时间字符串"""
         return datetime.now(self.china_tz).strftime('%Y-%m-%d %H:%M:%S')
     
+    def generate_patient_id(self) -> str:
+        """生成患者唯一标识(YYYYMMDD0000)年月日+四位序号"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            # 获取当前日期
+            china_tz = timezone(timedelta(hours=8))
+            today = datetime.now(china_tz).strftime('%Y%m%d')
+            
+            # 使用循环确保生成唯一ID，防止并发冲突
+            for attempt in range(10):  # 最多尝试10次
+                # 查询今天已有的最大序号
+                cursor.execute('''
+                    SELECT id FROM patients 
+                    WHERE id LIKE ? 
+                    ORDER BY id DESC 
+                    LIMIT 1
+                ''', (f'{today}%',))
+                
+                result = cursor.fetchone()
+                if result:
+                    # 提取序号部分并加1
+                    last_id = result[0]
+                    if len(last_id) >= 12 and last_id[:8] == today:
+                        last_sequence = int(last_id[8:12])
+                        sequence = str(last_sequence + 1).zfill(4)
+                    else:
+                        sequence = '0001'
+                else:
+                    # 今天第一个患者
+                    sequence = '0001'
+                
+                patient_id = f'{today}{sequence}'
+                
+                # 检查ID是否已存在
+                cursor.execute('SELECT COUNT(*) FROM patients WHERE id = ?', (patient_id,))
+                if cursor.fetchone()[0] == 0:
+                    return patient_id
+            
+            # 如果10次尝试都失败，使用UUID作为备用方案
+            logger.warning('患者ID生成重试次数过多，使用UUID备用方案')
+            return str(uuid.uuid4())
+            
+        except Exception as e:
+            logger.error(f'生成患者ID失败: {e}')
+            # 如果生成失败，使用UUID作为备用方案
+            return str(uuid.uuid4())
+    
+    def generate_user_id(self) -> str:
+        """生成用户唯一标识，格式为六位数字序号(000001)"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            # 使用循环确保生成唯一ID，防止并发冲突
+            for attempt in range(10):  # 最多尝试10次
+                # 获取当前最大的用户ID（只考虑六位数字格式的ID）
+                cursor.execute('SELECT MAX(CAST(id AS INTEGER)) FROM users WHERE id GLOB "[0-9][0-9][0-9][0-9][0-9][0-9]"')
+                result = cursor.fetchone()[0]
+                
+                if result is None:
+                    # 如果没有用户记录，从000001开始
+                    next_id = 1
+                else:
+                    next_id = result + 1
+                
+                # 格式化为六位数字，前面补零
+                user_id = f"{next_id:06d}"
+                
+                # 检查ID是否已存在
+                cursor.execute('SELECT COUNT(*) FROM users WHERE id = ?', (user_id,))
+                if cursor.fetchone()[0] == 0:
+                    return user_id
+            
+            # 如果10次尝试都失败，使用时间戳+随机数作为备用方案
+            logger.warning('用户ID生成重试次数过多，使用备用方案')
+            import time
+            import random
+            timestamp_suffix = str(int(time.time()))[-4:]
+            random_suffix = str(random.randint(10, 99))
+            return f"{timestamp_suffix}{random_suffix}"
+            
+        except Exception as e:
+            logger.error(f'生成用户ID失败: {e}')
+            # 如果出错，使用时间戳作为备用方案
+            import time
+            return str(int(time.time()))[-6:]
+    
+    def generate_session_id(self) -> str:
+        """生成会话唯一标识(YYYYMMDDHHMMSS)年月日时分秒"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            # 获取当前时间
+            china_tz = timezone(timedelta(hours=8))
+            
+            # 使用循环确保生成唯一ID，防止并发冲突
+            for attempt in range(10):  # 最多尝试10次
+                current_time = datetime.now(china_tz)
+                session_id = current_time.strftime('%Y%m%d%H%M%S')
+                
+                # 检查ID是否已存在
+                cursor.execute('SELECT COUNT(*) FROM detection_sessions WHERE id = ?', (session_id,))
+                if cursor.fetchone()[0] == 0:
+                    return session_id
+                
+                # 如果存在冲突，等待1秒后重试
+                import time
+                time.sleep(0.001)  # 等待1毫秒
+            
+            # 如果10次尝试都失败，在时间后添加随机后缀
+            import random
+            current_time = datetime.now(china_tz)
+            base_id = current_time.strftime('%Y%m%d%H%M%S')
+            suffix = str(random.randint(10, 99))
+            session_id = f'{base_id}{suffix}'
+            
+            # 最后检查一次
+            cursor.execute('SELECT COUNT(*) FROM detection_sessions WHERE id = ?', (session_id,))
+            if cursor.fetchone()[0] == 0:
+                return session_id
+            
+            # 如果还是冲突，使用UUID作为备用方案
+            logger.warning('会话ID生成重试次数过多，使用UUID备用方案')
+            return str(uuid.uuid4())
+            
+        except Exception as e:
+            logger.error(f'生成会话ID失败: {e}')
+            # 如果生成失败，使用UUID作为备用方案
+            return str(uuid.uuid4())
+    
+    def generate_detection_data_id(self) -> str:
+        """生成检测数据记录唯一标识(YYYYMMDDHHMMSS)年月日时分秒"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            # 获取当前时间
+            china_tz = timezone(timedelta(hours=8))
+            
+            # 使用循环确保生成唯一ID，防止并发冲突
+            for attempt in range(10):  # 最多尝试10次
+                current_time = datetime.now(china_tz)
+                data_id = current_time.strftime('%Y%m%d%H%M%S')
+                
+                # 检查ID是否已存在
+                cursor.execute('SELECT COUNT(*) FROM detection_data WHERE id = ?', (data_id,))
+                if cursor.fetchone()[0] == 0:
+                    return data_id
+                
+                # 如果存在冲突，等待1毫秒后重试
+                import time
+                time.sleep(0.001)
+            
+            # 如果10次尝试都失败，在时间后添加随机后缀
+            import random
+            current_time = datetime.now(china_tz)
+            base_id = current_time.strftime('%Y%m%d%H%M%S')
+            suffix = str(random.randint(100, 999))
+            data_id = f'{base_id}{suffix}'
+            
+            # 最后检查一次
+            cursor.execute('SELECT COUNT(*) FROM detection_data WHERE id = ?', (data_id,))
+            if cursor.fetchone()[0] == 0:
+                return data_id
+            
+            # 如果还是冲突，使用UUID作为备用方案
+            logger.warning('检测数据ID生成重试次数过多，使用UUID备用方案')
+            return str(uuid.uuid4())
+            
+        except Exception as e:
+            logger.error(f'生成检测数据ID失败: {e}')
+            # 如果生成失败，使用UUID作为备用方案
+            return str(uuid.uuid4())
+    
     def get_connection(self) -> sqlite3.Connection:
         """获取数据库连接"""
         if not self.connection:
@@ -44,122 +221,153 @@ class DatabaseManager:
         cursor = conn.cursor()
         
         try:
+            # 创建用户表（医生）
+            cursor.execute('''
+                CREATE TABLE IF NOT EXISTS users (
+                    id TEXT PRIMARY KEY,                                   -- 用户唯一标识(0000000)六位序号
+                    name TEXT NOT NULL,                                    -- 用户真实姓名
+                    username TEXT UNIQUE NOT NULL,                         -- 用户名（登录名）
+                    password TEXT NOT NULL,                                -- 密码
+                    register_date TIMESTAMP,                               -- 注册日期
+                    is_active BOOLEAN DEFAULT 1,                           -- 账户是否激活（0=未激活，1=已激活）
+                    user_type TEXT DEFAULT 'user',                        -- 用户类型（user/admin/doctor）
+                    phone TEXT DEFAULT '',                                 -- 联系电话
+                    created_at TIMESTAMP,                                 -- 记录创建时间
+                    updated_at TIMESTAMP                                  -- 记录更新时间
+                )
+            ''')   
+
             # 创建患者表
             cursor.execute('''
                 CREATE TABLE IF NOT EXISTS patients (
-                    id TEXT PRIMARY KEY,
+                    id TEXT PRIMARY KEY,                                    -- 患者唯一标识(YYYYMMDD0000)年月日+四位序号
-                    name TEXT NOT NULL,
+                    name TEXT NOT NULL,                                    -- 患者姓名
-                    gender TEXT,
+                    gender TEXT,                                           -- 性别
-                    age INTEGER,
+                    birth_date TIMESTAMP,                                  -- 出生日期
-                    birth_date TIMESTAMP,
+                    nationality TEXT,                                      -- 民族
-                    nationality TEXT,
+                    residence TEXT,                                        -- 居住地
-                    height REAL,
+                    height REAL,                                           -- 身高（cm）
-                    weight REAL,
+                    weight REAL,                                           -- 体重（kg）
-                    phone TEXT,
+                    shoe_size TEXT,                                        -- 鞋码
-                    shoe_size TEXT,
+                    phone TEXT,                                            -- 电话号码
-                    medical_history TEXT,
+                    email TEXT,                                            -- 电子邮箱
-                    notes TEXT,
+                    occupation TEXT,                                       -- 职业
-                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    workplace TEXT,                                        -- 工作单位
-                    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+                    medical_history TEXT,                                  -- 病史
+                    notes TEXT,                                            -- 备注信息
+                    created_at TIMESTAMP,                                 -- 记录创建时间
+                    updated_at TIMESTAMP                                  -- 记录更新时间
                 )
             ''')
             
             # 创建检测会话表
             cursor.execute('''
                 CREATE TABLE IF NOT EXISTS detection_sessions (
-                    id TEXT PRIMARY KEY,
+                    id TEXT PRIMARY KEY,                                   -- 会话唯一标识(YYYYMMDDHHMMSS)年月日时分秒
-                    patient_id TEXT NOT NULL,
+                    patient_id TEXT NOT NULL,                              -- 患者ID（外键）
-                    start_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    creator_id TEXT,                                       -- 创建人ID（医生ID，外键）
-                    end_time TIMESTAMP,
+                    start_time TIMESTAMP,                                  -- 检测开始时间
-                    duration INTEGER,
+                    end_time TIMESTAMP,                                    -- 检测结束时间
-                    frequency INTEGER,
+                    duration INTEGER,                                      -- 检测持续时间（秒）
-                    status TEXT DEFAULT 'created',
+                    settings TEXT,                                         -- 检测设置（JSON格式）
-                    settings TEXT,
+                    normal_video_path TEXT,                               -- 足部检测视频文件路径
-                    data_points INTEGER DEFAULT 0,
+                    femtobolt_video_path TEXT,                            -- 深度相机视频文件路径
-                    video_path TEXT,
+                    screen_video_path TEXT,                               -- 屏幕录制视频路径
-                    notes TEXT,
+                    diagnosis_info TEXT,                                   -- 诊断信息
-                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    treatment_info TEXT,                                   -- 处理信息
-                    FOREIGN KEY (patient_id) REFERENCES patients (id)
+                    suggestion_info TEXT,                                  -- 建议信息
+                    status TEXT DEFAULT 'created',                        -- 会话状态（created/running/completed/failed）
+                    created_at TIMESTAMP,                                 -- 记录创建时间
+                    FOREIGN KEY (patient_id) REFERENCES patients (id),    -- 患者表外键约束
+                    FOREIGN KEY (creator_id) REFERENCES users (id)        -- 用户表外键约束
                 )
             ''')
             
             # 创建检测数据表
             cursor.execute('''
                 CREATE TABLE IF NOT EXISTS detection_data (
-                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    id TEXT PRIMARY KEY,                               -- 记录唯一标识(YYYYMMDDHHMMSS)年月日时分秒
-                    session_id TEXT NOT NULL,
+                    session_id TEXT NOT NULL,                          -- 检测会话ID（外键）
-                    timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+                    head_pose TEXT ,                                   -- 头部姿态数据（JSON格式）
-                    data_type TEXT NOT NULL,
+                    body_pose TEXT ,                                   -- 身体姿态数据（JSON格式）
-                    data_value TEXT NOT NULL,
+                    body_image TEXT,                                   -- 身体视频截图存储路径
-                    FOREIGN KEY (session_id) REFERENCES detection_sessions (id)
+                    foot_data TEXT ,                                   -- 足部姿态数据（JSON格式）
+                    foot_image TEXT,                                   -- 足部监测视频截图存储路径
+                    foot_data_image TEXT,                              -- 足底压力数据图存储路径
+                    screen_image TEXT,                                 -- 屏幕录制视频截图存储路径
+                    timestamp TIMESTAMP,                               -- 数据记录时间戳
+                    FOREIGN KEY (session_id) REFERENCES detection_sessions (id)  -- 检测会话表外键约束
                 )
-            ''')
+            ''')            
-            
+
-            # 创建分析结果表
-            cursor.execute('''
-                CREATE TABLE IF NOT EXISTS analysis_results (
-                    id INTEGER PRIMARY KEY AUTOINCREMENT,
-                    session_id TEXT NOT NULL,
-                    analysis_type TEXT NOT NULL,
-                    result_data TEXT NOT NULL,
-                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-                    FOREIGN KEY (session_id) REFERENCES detection_sessions (id)
-                )
-            ''')
             
             # 创建系统设置表
             cursor.execute('''
                 CREATE TABLE IF NOT EXISTS system_settings (
-                    key TEXT PRIMARY KEY,
+                    key TEXT PRIMARY KEY,                              -- 设置项键名（唯一标识）
-                    value TEXT NOT NULL,
+                    value TEXT NOT NULL,                               -- 设置项值
-                    description TEXT,
+                    description TEXT,                                  -- 设置项描述说明
-                    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+                    updated_at TIMESTAMP                               -- 最后更新时间
                 )
             ''')
             
-            # 创建用户表
+      
-            cursor.execute('''
-                CREATE TABLE IF NOT EXISTS users (
-                    id TEXT PRIMARY KEY,
-                    name TEXT NOT NULL,
-                    username TEXT UNIQUE NOT NULL,
-                    password TEXT NOT NULL,
-                    register_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-                    is_active BOOLEAN DEFAULT 0,
-                    user_type TEXT DEFAULT 'user',
-                    phone TEXT DEFAULT '',
-                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
-                    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-                )
-            ''')         
            
             
-            # 创建索引
+            # 创建索引以提高查询性能
-            cursor.execute('CREATE INDEX IF NOT EXISTS idx_patients_name ON patients (name)')
+            # 患者表索引
-            cursor.execute('CREATE INDEX IF NOT EXISTS idx_sessions_patient ON detection_sessions (patient_id)')
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_patients_name ON patients (name)')        # 患者姓名索引
-            cursor.execute('CREATE INDEX IF NOT EXISTS idx_sessions_time ON detection_sessions (start_time)')
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_patients_phone ON patients (phone)')      # 患者电话索引
-            cursor.execute('CREATE INDEX IF NOT EXISTS idx_data_session ON detection_data (session_id)')
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_patients_email ON patients (email)')      # 患者邮箱索引
-            cursor.execute('CREATE INDEX IF NOT EXISTS idx_data_timestamp ON detection_data (timestamp)')
+            
-            cursor.execute('CREATE INDEX IF NOT EXISTS idx_users_username ON users (username)')
+            # 检测会话表索引
-            cursor.execute('CREATE INDEX IF NOT EXISTS idx_users_type ON users (user_type)')
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_sessions_patient ON detection_sessions (patient_id)')    # 患者ID索引
-            cursor.execute('CREATE INDEX IF NOT EXISTS idx_users_phone ON users (phone)')
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_sessions_creator ON detection_sessions (creator_id)')    # 创建人ID索引
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_sessions_time ON detection_sessions (start_time)')       # 开始时间索引
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_sessions_status ON detection_sessions (status)')         # 会话状态索引
+            
+            # 检测数据表索引
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_data_session ON detection_data (session_id)')            # 会话ID索引
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_data_timestamp ON detection_data (timestamp)')           # 时间戳索引
+            
+            # 用户表索引
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_users_username ON users (username)')                     # 用户名索引
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_users_type ON users (user_type)')                       # 用户类型索引
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_users_phone ON users (phone)')                          # 用户电话索引
+            cursor.execute('CREATE INDEX IF NOT EXISTS idx_users_active ON users (is_active)')                     # 激活状态索引
             
             # 插入默认管理员账户（如果不存在）
             cursor.execute('SELECT COUNT(*) FROM users WHERE username = ?', ('admin',))
             admin_exists = cursor.fetchone()[0]
             
             if admin_exists == 0:
-                admin_id = str(uuid.uuid4())
+                admin_id = self.generate_user_id()
                 # 默认密码为 admin123，明文存储
                 admin_password = 'admin123'
+                # 使用中国时区时间
+                china_time = self.get_china_time()
                 
                 cursor.execute('''
-                    INSERT INTO users (id, name, username, password, is_active, user_type)
+                    INSERT INTO users (id, name, username, password, is_active, user_type, register_date, created_at, updated_at)
-                    VALUES (?, ?, ?, ?, ?, ?)
+                    VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
-                ''', (admin_id, '系统管理员', 'admin', admin_password, 1, 'admin'))
+                ''', (admin_id, '系统管理员', 'admin', admin_password, 1, 'admin', china_time, china_time, china_time))
                 
                 logger.info('创建默认管理员账户: admin/admin123')
             
+            # 插入默认系统设置
+            china_time = self.get_china_time()
+            
+            # 检查并插入默认摄像头设备索引配置
+            cursor.execute('SELECT COUNT(*) FROM system_settings WHERE key = ?', ('monitor_device_index',))
+            monitor_config_exists = cursor.fetchone()[0]
+            
+            if monitor_config_exists == 0:
+                cursor.execute('''
+                    INSERT INTO system_settings (key, value, description, updated_at)
+                    VALUES (?, ?, ?, ?)
+                ''', ('monitor_device_index', '1', '足部监视摄像头设备索引号', china_time))
+                logger.info('创建默认摄像头设备索引配置: 1')
+            
             conn.commit()
             logger.info('数据库初始化完成')
             
@@ -172,29 +380,38 @@ class DatabaseManager:
     
     def create_patient(self, patient_data: Dict[str, Any]) -> str:
         """创建患者记录"""
+        # 验证必填字段
+        if not patient_data.get('name'):
+            raise ValueError('患者姓名不能为空')
+        
         conn = self.get_connection()
         cursor = conn.cursor()
         
         try:
-            patient_id = str(uuid.uuid4())
+            patient_id = self.generate_patient_id()
             # 使用中国时区时间
             china_time = self.get_china_time()
             
             cursor.execute('''
                 INSERT INTO patients (
-                    id, name, gender, age, birth_date, height, weight, 
+                    id, name, gender, birth_date, nationality, residence,
-                    phone, shoe_size, medical_history, notes, created_at, updated_at
+                    height, weight, shoe_size, phone, email, occupation, workplace,
-                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                    medical_history, notes, created_at, updated_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
             ''', (
                 patient_id,
                 patient_data.get('name'),
                 patient_data.get('gender'),
-                patient_data.get('age'),
                 patient_data.get('birth_date'),
+                patient_data.get('nationality'),
+                patient_data.get('residence'),
                 patient_data.get('height'),
                 patient_data.get('weight'),
-                patient_data.get('phone'),
                 patient_data.get('shoe_size'),
+                patient_data.get('phone'),
+                patient_data.get('email'),
+                patient_data.get('occupation'),
+                patient_data.get('workplace'),
                 patient_data.get('medical_history'),
                 patient_data.get('notes'),
                 china_time,
@@ -212,6 +429,12 @@ class DatabaseManager:
     
     def get_patients(self, page: int = 1, size: int = 10, keyword: str = '') -> List[Dict]:
         """获取患者列表"""
+        # 验证分页参数
+        if page < 1:
+            page = 1
+        if size < 1 or size > 100:
+            size = 10
+        
         conn = self.get_connection()
         cursor = conn.cursor()
         
@@ -221,10 +444,10 @@ class DatabaseManager:
             if keyword:
                 cursor.execute('''
                     SELECT * FROM patients 
-                    WHERE name LIKE ? OR phone LIKE ?
+                    WHERE name LIKE ? OR phone LIKE ? OR email LIKE ?
                     ORDER BY created_at DESC
                     LIMIT ? OFFSET ?
-                ''', (f'%{keyword}%', f'%{keyword}%', size, offset))
+                ''', (f'%{keyword}%', f'%{keyword}%', f'%{keyword}%', size, offset))
             else:
                 cursor.execute('''
                     SELECT * FROM patients 
@@ -275,6 +498,14 @@ class DatabaseManager:
     
     def update_patient(self, patient_id: str, patient_data: Dict[str, Any]):
         """更新患者信息"""
+        # 验证必填字段
+        if not patient_data.get('name'):
+            raise ValueError('患者姓名不能为空')
+        
+        # 验证患者是否存在
+        if not self.get_patient(patient_id):
+            raise ValueError(f'患者不存在: {patient_id}')
+        
         conn = self.get_connection()
         cursor = conn.cursor()
         
@@ -284,19 +515,23 @@ class DatabaseManager:
             
             cursor.execute('''
                 UPDATE patients SET 
-                    name = ?, gender = ?, age = ?, birth_date = ?, height = ?, weight = ?,
+                    name = ?, gender = ?, birth_date = ?, nationality = ?,
-                    phone = ?, shoe_size = ?, medical_history = ?, notes = ?,
+                    residence = ?, height = ?, weight = ?, shoe_size = ?, phone = ?, email = ?,
-                    updated_at = ?
+                    occupation = ?, workplace = ?, medical_history = ?, notes = ?, updated_at = ?
                 WHERE id = ?
             ''', (
                 patient_data.get('name'),
                 patient_data.get('gender'),
-                patient_data.get('age'),
                 patient_data.get('birth_date'),
+                patient_data.get('nationality'),
+                patient_data.get('residence'),
                 patient_data.get('height'),
                 patient_data.get('weight'),
-                patient_data.get('phone'),
                 patient_data.get('shoe_size'),
+                patient_data.get('phone'),
+                patient_data.get('email'),
+                patient_data.get('occupation'),
+                patient_data.get('workplace'),
                 patient_data.get('medical_history'),
                 patient_data.get('notes'),
                 china_time,
@@ -313,6 +548,10 @@ class DatabaseManager:
     
     def delete_patient(self, patient_id: str):
         """删除患者记录"""
+        # 验证患者是否存在
+        if not self.get_patient(patient_id):
+            raise ValueError(f'患者不存在: {patient_id}')
+        
         conn = self.get_connection()
         cursor = conn.cursor()
         
@@ -325,14 +564,6 @@ class DatabaseManager:
                 )
             ''', (patient_id,))
             
-            # 删除相关的分析结果
-            cursor.execute('''
-                DELETE FROM analysis_results 
-                WHERE session_id IN (
-                    SELECT id FROM detection_sessions WHERE patient_id = ?
-                )
-            ''', (patient_id,))
-            
             # 删除检测会话
             cursor.execute('DELETE FROM detection_sessions WHERE patient_id = ?', (patient_id,))
             
@@ -347,30 +578,75 @@ class DatabaseManager:
             logger.error(f'删除患者记录失败: {e}')
             raise
     
+    def batch_delete_patients(self, patient_ids: List[str]):
+        """批量删除患者记录"""
+        if not patient_ids:
+            return
+        
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            # 验证所有患者是否存在
+            placeholders = ','.join(['?' for _ in patient_ids])
+            cursor.execute(f'SELECT COUNT(*) FROM patients WHERE id IN ({placeholders})', patient_ids)
+            existing_count = cursor.fetchone()[0]
+            
+            if existing_count != len(patient_ids):
+                raise ValueError('部分患者记录不存在')
+            
+            # 批量删除相关的检测数据
+            cursor.execute(f'''
+                DELETE FROM detection_data 
+                WHERE session_id IN (
+                    SELECT id FROM detection_sessions WHERE patient_id IN ({placeholders})
+                )
+            ''', patient_ids)
+            
+            # 批量删除检测会话
+            cursor.execute(f'DELETE FROM detection_sessions WHERE patient_id IN ({placeholders})', patient_ids)
+            
+            # 批量删除患者记录
+            cursor.execute(f'DELETE FROM patients WHERE id IN ({placeholders})', patient_ids)
+            
+            conn.commit()
+            logger.info(f'批量删除患者记录: {len(patient_ids)}条')
+            
+        except Exception as e:
+            conn.rollback()
+            logger.error(f'批量删除患者记录失败: {e}')
+            raise
+    
     # ==================== 检测会话管理 ====================
     
-    def create_detection_session(self, patient_id: str, settings: Dict[str, Any]) -> str:
+    def create_detection_session(self, patient_id: str, settings: Dict[str, Any], creator_id: str = None) -> str:
         """创建检测会话"""
         conn = self.get_connection()
         cursor = conn.cursor()
         
         try:
-            session_id = str(uuid.uuid4())
+            session_id = self.generate_session_id()
             
             # 使用中国时区时间
             china_time = self.get_china_time()
             
             cursor.execute('''
                 INSERT INTO detection_sessions (
-                    id, patient_id, duration, frequency, settings, status, start_time, created_at
+                    id, patient_id, creator_id, duration, frequency, settings, status, 
-                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?)
+                    diagnosis_info, treatment_info, suggestion_info, notes, start_time, created_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
             ''', (
                 session_id,
                 patient_id,
+                creator_id,
                 settings.get('duration', 60),
                 settings.get('frequency', 60),
                 json.dumps(settings),
                 'created',
+                settings.get('diagnosis_info', ''),
+                settings.get('treatment_info', ''),
+                settings.get('suggestion_info', ''),
+                settings.get('notes', ''),
                 china_time,
                 china_time
             ))
@@ -432,25 +708,122 @@ class DatabaseManager:
             logger.error(f'更新会话持续时间失败: {e}')
             raise
     
-    def update_session_video_path(self, session_id: str, video_path: str):
+    def update_session_normal_video_path(self, session_id: str, video_path: str):
-        """更新会话视频路径"""
+        """更新会话足部检测视频路径"""
         conn = self.get_connection()
         cursor = conn.cursor()
         
         try:
             cursor.execute('''
-                UPDATE detection_sessions SET video_path = ?
+                UPDATE detection_sessions SET normal_video_path = ?
                 WHERE id = ?
             ''', (video_path, session_id))
             
             conn.commit()
-            logger.info(f'更新会话视频路径: {session_id} -> {video_path}')
+            logger.info(f'更新会话足部检测视频路径: {session_id} -> {video_path}')
             
         except Exception as e:
             conn.rollback()
-            logger.error(f'更新会话视频路径失败: {e}')
+            logger.error(f'更新会话足部检测视频路径失败: {e}')
             raise
     
+    def update_session_femtobolt_video_path(self, session_id: str, video_path: str):
+        """更新会话深度相机视频路径"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            cursor.execute('''
+                UPDATE detection_sessions SET femtobolt_video_path = ?
+                WHERE id = ?
+            ''', (video_path, session_id))
+            
+            conn.commit()
+            logger.info(f'更新会话深度相机视频路径: {session_id} -> {video_path}')
+            
+        except Exception as e:
+            conn.rollback()
+            logger.error(f'更新会话深度相机视频路径失败: {e}')
+            raise
+    
+    def update_session_screen_video_path(self, session_id: str, video_path: str):
+        """更新会话屏幕录制视频路径"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            cursor.execute('''
+                UPDATE detection_sessions SET screen_video_path = ?
+                WHERE id = ?
+            ''', (video_path, session_id))
+            
+            conn.commit()
+            logger.info(f'更新会话屏幕录制视频路径: {session_id} -> {video_path}')
+            
+        except Exception as e:
+            conn.rollback()
+            logger.error(f'更新会话屏幕录制视频路径失败: {e}')
+            raise
+    
+    def update_session_diagnosis_info(self, session_id: str, diagnosis_info: str):
+        """更新会话诊断信息"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            cursor.execute('''
+                UPDATE detection_sessions SET diagnosis_info = ?
+                WHERE id = ?
+            ''', (diagnosis_info, session_id))
+            
+            conn.commit()
+            logger.info(f'更新会话诊断信息: {session_id}')
+            
+        except Exception as e:
+            conn.rollback()
+            logger.error(f'更新会话诊断信息失败: {e}')
+            raise
+    
+    def update_session_treatment_info(self, session_id: str, treatment_info: str):
+        """更新会话处理信息"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            cursor.execute('''
+                UPDATE detection_sessions SET treatment_info = ?
+                WHERE id = ?
+            ''', (treatment_info, session_id))
+            
+            conn.commit()
+            logger.info(f'更新会话处理信息: {session_id}')
+            
+        except Exception as e:
+            conn.rollback()
+            logger.error(f'更新会话处理信息失败: {e}')
+            raise
+    
+    def update_session_suggestion_info(self, session_id: str, suggestion_info: str):
+        """更新会话建议信息"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            cursor.execute('''
+                UPDATE detection_sessions SET suggestion_info = ?
+                WHERE id = ?
+            ''', (suggestion_info, session_id))
+            
+            conn.commit()
+            logger.info(f'更新会话建议信息: {session_id}')
+            
+        except Exception as e:
+            conn.rollback()
+            logger.error(f'更新会话建议信息失败: {e}')
+            raise
+    
+    
+    
     def get_detection_sessions(self, page: int = 1, size: int = 10, patient_id: str = None) -> List[Dict]:
         """获取检测会话列表"""
         conn = self.get_connection()
@@ -461,18 +834,20 @@ class DatabaseManager:
             
             if patient_id:
                 cursor.execute('''
-                    SELECT s.*, p.name as patient_name
+                    SELECT s.*, p.name as patient_name, u.name as creator_name
                     FROM detection_sessions s
                     LEFT JOIN patients p ON s.patient_id = p.id
+                    LEFT JOIN users u ON s.creator_id = u.id
                     WHERE s.patient_id = ?
                     ORDER BY s.start_time DESC
                     LIMIT ? OFFSET ?
                 ''', (patient_id, size, offset))
             else:
                 cursor.execute('''
-                    SELECT s.*, p.name as patient_name
+                    SELECT s.*, p.name as patient_name, u.name as creator_name
                     FROM detection_sessions s
                     LEFT JOIN patients p ON s.patient_id = p.id
+                    LEFT JOIN users u ON s.creator_id = u.id
                     ORDER BY s.start_time DESC
                     LIMIT ? OFFSET ?
                 ''', (size, offset))
@@ -521,9 +896,10 @@ class DatabaseManager:
         try:
             # 获取会话基本信息
             cursor.execute('''
-                SELECT s.*, p.name as patient_name
+                SELECT s.*, p.name as patient_name, u.name as creator_name
                 FROM detection_sessions s
                 LEFT JOIN patients p ON s.patient_id = p.id
+                LEFT JOIN users u ON s.creator_id = u.id
                 WHERE s.id = ?
             ''', (session_id,))
             
@@ -565,7 +941,7 @@ class DatabaseManager:
             logger.error(f'获取会话数据失败: {e}')
             return None
     
-    # ==================== 检测数据管理 ====================
+    # ==================== 检测记录数据管理 ====================
     
     def save_detection_data(self, session_id: str, data: Dict[str, Any]):
         """保存检测数据"""
@@ -576,14 +952,30 @@ class DatabaseManager:
             # 使用中国时区时间
             china_time = self.get_china_time()
             
-            # 保存不同类型的数据
+            # 生成检测数据记录ID
-            for data_type, data_value in data.items():
+            data_id = self.generate_detection_data_id()
-                cursor.execute('''
+            
-                    INSERT INTO detection_data (session_id, data_type, data_value, timestamp)
+            # 根据新的表结构保存数据
-                    VALUES (?, ?, ?, ?)
+            cursor.execute('''
-                ''', (session_id, data_type, json.dumps(data_value), china_time))
+                INSERT INTO detection_data (
+                    id, session_id, head_pose, body_pose, body_image, 
+                    foot_data, foot_image, foot_data_image, screen_image, timestamp
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+            ''', (
+                data_id,
+                session_id,
+                json.dumps(data.get('head_pose')) if data.get('head_pose') else None,
+                json.dumps(data.get('body_pose')) if data.get('body_pose') else None,
+                data.get('body_image'),
+                json.dumps(data.get('foot_data')) if data.get('foot_data') else None,
+                data.get('foot_image'),
+                data.get('foot_data_image'),
+                data.get('screen_image'),
+                china_time
+            ))
             
             conn.commit()
+            logger.info(f'保存检测数据: {data_id}')
             
         except Exception as e:
             conn.rollback()
@@ -608,8 +1000,20 @@ class DatabaseManager:
             
             for row in rows:
                 data_point = dict(row)
+                # 解析JSON字段
                 try:
-                    data_point['data_value'] = json.loads(data_point['data_value'])
+                    if data_point.get('head_pose'):
+                        data_point['head_pose'] = json.loads(data_point['head_pose'])
+                except:
+                    pass
+                try:
+                    if data_point.get('body_pose'):
+                        data_point['body_pose'] = json.loads(data_point['body_pose'])
+                except:
+                    pass
+                try:
+                    if data_point.get('foot_data'):
+                        data_point['foot_data'] = json.loads(data_point['foot_data'])
                 except:
                     pass
                 data_points.append(data_point)
@@ -620,56 +1024,28 @@ class DatabaseManager:
             logger.error(f'获取最新检测数据失败: {e}')
             return []
     
-    # ==================== 分析结果管理 ====================
+    def delete_detection_data(self, data_id: str):
-    
+        """按主键删除检测数据记录"""
-    def save_analysis_result(self, session_id: str, analysis_result: Dict[str, Any]):
-        """保存分析结果"""
         conn = self.get_connection()
         cursor = conn.cursor()
         
         try:
-            for analysis_type, result_data in analysis_result.items():
+            # 验证记录是否存在
-                cursor.execute('''
+            cursor.execute('SELECT COUNT(*) FROM detection_data WHERE id = ?', (data_id,))
-                    INSERT INTO analysis_results (session_id, analysis_type, result_data)
+            if cursor.fetchone()[0] == 0:
-                    VALUES (?, ?, ?)
+                raise ValueError(f'检测数据记录不存在: {data_id}')
-                ''', (session_id, analysis_type, json.dumps(result_data)))
+            
+            # 删除检测数据记录
+            cursor.execute('DELETE FROM detection_data WHERE id = ?', (data_id,))
             
             conn.commit()
-            logger.info(f'保存分析结果: {session_id}')
+            logger.info(f'删除检测数据记录: {data_id}')
             
         except Exception as e:
             conn.rollback()
-            logger.error(f'保存分析结果失败: {e}')
+            logger.error(f'删除检测数据记录失败: {e}')
             raise
     
-    def get_analysis_results(self, session_id: str) -> Dict[str, Any]:
-        """获取分析结果"""
-        conn = self.get_connection()
-        cursor = conn.cursor()
-        
-        try:
-            cursor.execute('''
-                SELECT * FROM analysis_results 
-                WHERE session_id = ?
-                ORDER BY created_at DESC
-            ''', (session_id,))
-            
-            rows = cursor.fetchall()
-            results = {}
-            
-            for row in rows:
-                analysis_type = row['analysis_type']
-                try:
-                    result_data = json.loads(row['result_data'])
-                    results[analysis_type] = result_data
-                except:
-                    results[analysis_type] = row['result_data']
-            
-            return results
-            
-        except Exception as e:
-            logger.error(f'获取分析结果失败: {e}')
-            return {}
     
     # ==================== 系统设置管理 ====================
     
@@ -735,7 +1111,7 @@ class DatabaseManager:
                         'message': '手机号已存在'
                     }
             
-            user_id = str(uuid.uuid4())
+            user_id = self.generate_user_id()
             # 密码明文存储
             password = user_data['password']
             # 使用中国时区时间
@@ -975,6 +1351,58 @@ class DatabaseManager:
             logger.error(f'删除用户失败: {e}')
             raise
     
+    def get_system_setting(self, key: str, default_value: str = None) -> Optional[str]:
+        """获取系统设置值"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            cursor.execute('SELECT value FROM system_settings WHERE key = ?', (key,))
+            result = cursor.fetchone()
+            
+            if result:
+                return result[0]
+            else:
+                logger.warning(f'系统设置项不存在: {key}')
+                return default_value
+                
+        except Exception as e:
+            logger.error(f'获取系统设置失败: {e}')
+            return default_value
+    
+    def set_system_setting(self, key: str, value: str, description: str = None):
+        """设置系统设置值"""
+        conn = self.get_connection()
+        cursor = conn.cursor()
+        
+        try:
+            china_time = self.get_china_time()
+            
+            # 检查设置项是否存在
+            cursor.execute('SELECT COUNT(*) FROM system_settings WHERE key = ?', (key,))
+            exists = cursor.fetchone()[0]
+            
+            if exists:
+                # 更新现有设置
+                cursor.execute('''
+                    UPDATE system_settings SET value = ?, updated_at = ?
+                    WHERE key = ?
+                ''', (value, china_time, key))
+            else:
+                # 插入新设置
+                cursor.execute('''
+                    INSERT INTO system_settings (key, value, description, updated_at)
+                    VALUES (?, ?, ?, ?)
+                ''', (key, value, description, china_time))
+            
+            conn.commit()
+            logger.info(f'设置系统配置: {key} = {value}')
+            
+        except Exception as e:
+            conn.rollback()
+            logger.error(f'设置系统配置失败: {e}')
+            raise
+    
     def close(self):
         """关闭数据库连接"""
         if self.connection:

backend/detection_engine.py

@@ -1,912 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-检测引擎模块
-负责实时数据处理、姿态分析和平衡评估
-"""
-
-import numpy as np
-import cv2
-from datetime import datetime, timedelta
-from typing import Dict, List, Optional, Any, Tuple
-import logging
-import threading
-from collections import deque
-import json
-import base64
-import os
-from pathlib import Path
-from flask import Blueprint, request, jsonify
-
-logger = logging.getLogger(__name__)
-
-class DetectionEngine:
-    """检测引擎"""
-    
-    def __init__(self):
-        self.session_data = {}  # 存储各会话的数据
-        self.data_lock = threading.Lock()
-        self.analysis_algorithms = {
-            'balance_analysis': BalanceAnalyzer(),
-            'posture_analysis': PostureAnalyzer(),
-            'movement_analysis': MovementAnalyzer()
-        }
-        
-        # 创建必要的目录
-        self._ensure_directories()
-        
-        logger.info('检测引擎初始化完成')
-    
-    def _ensure_directories(self):
-        """确保必要的目录存在"""
-        try:
-            # 使用根目录的data目录
-            root_data_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'data')
-            patients_dir = os.path.join(root_data_dir, 'patients')
-            os.makedirs(patients_dir, exist_ok=True)
-            logger.info('数据目录创建完成')
-        except Exception as e:
-            logger.error(f'创建数据目录失败: {e}')
-    
-    def start_session(self, session_id: str, settings: Dict[str, Any]):
-        """开始检测会话"""
-        with self.data_lock:
-            self.session_data[session_id] = {
-                'settings': settings,
-                'start_time': datetime.now(),
-                'data_buffer': deque(maxlen=1000),  # 保留最近1000个数据点
-                'analysis_results': {},
-                'real_time_metrics': {}
-            }
-        
-        logger.info(f'检测会话开始: {session_id}')
-    
-    def process_data(self, session_id: str, raw_data: Dict[str, Any]) -> Dict[str, Any]:
-        """处理实时数据"""
-        if session_id not in self.session_data:
-            logger.warning(f'会话不存在: {session_id}')
-            return {}
-        
-        try:
-            # 数据预处理
-            processed_data = self._preprocess_data(raw_data)
-            
-            # 存储数据
-            with self.data_lock:
-                self.session_data[session_id]['data_buffer'].append(processed_data)
-            
-            # 实时分析
-            real_time_results = self._real_time_analysis(session_id, processed_data)
-            
-            # 更新实时指标
-            with self.data_lock:
-                self.session_data[session_id]['real_time_metrics'].update(real_time_results)
-            
-            return real_time_results
-            
-        except Exception as e:
-            logger.error(f'数据处理失败: {e}')
-            return {}
-    
-    def _preprocess_data(self, raw_data: Dict[str, Any]) -> Dict[str, Any]:
-        """数据预处理"""
-        processed = {
-            'timestamp': raw_data.get('timestamp', datetime.now().isoformat())
-        }
-        
-        # 处理摄像头数据
-        if 'camera' in raw_data:
-            camera_data = raw_data['camera']
-            if 'pose_data' in camera_data:
-                processed['pose'] = self._process_pose_data(camera_data['pose_data'])
-        
-        # 处理IMU数据
-        if 'imu' in raw_data:
-            processed['imu'] = self._process_imu_data(raw_data['imu'])
-        
-        # 处理压力数据
-        if 'pressure' in raw_data:
-            processed['pressure'] = self._process_pressure_data(raw_data['pressure'])
-        
-        return processed
-    
-    def _process_pose_data(self, pose_data: Dict[str, Any]) -> Dict[str, Any]:
-        """处理姿态数据"""
-        return {
-            'center_of_gravity': pose_data.get('center_of_gravity', {'x': 0, 'y': 0}),
-            'body_angle': pose_data.get('body_angle', {'pitch': 0, 'roll': 0, 'yaw': 0}),
-            'confidence': pose_data.get('confidence', 0.0)
-        }
-    
-    def _process_imu_data(self, imu_data: Dict[str, Any]) -> Dict[str, Any]:
-        """处理IMU数据"""
-        # 计算合成加速度
-        accel = imu_data.get('accel', {'x': 0, 'y': 0, 'z': 0})
-        total_accel = np.sqrt(accel['x']**2 + accel['y']**2 + accel['z']**2)
-        
-        # 计算倾斜角度
-        pitch = np.arctan2(accel['y'], np.sqrt(accel['x']**2 + accel['z']**2)) * 180 / np.pi
-        roll = np.arctan2(-accel['x'], accel['z']) * 180 / np.pi
-        
-        return {
-            'accel': accel,
-            'gyro': imu_data.get('gyro', {'x': 0, 'y': 0, 'z': 0}),
-            'total_accel': total_accel,
-            'pitch': pitch,
-            'roll': roll,
-            'temperature': imu_data.get('temperature', 0)
-        }
-    
-    def _process_pressure_data(self, pressure_data: Dict[str, Any]) -> Dict[str, Any]:
-        """处理压力数据"""
-        left_foot = pressure_data.get('left_foot', 0)
-        right_foot = pressure_data.get('right_foot', 0)
-        total_pressure = left_foot + right_foot
-        
-        # 计算压力分布比例
-        if total_pressure > 0:
-            left_ratio = left_foot / total_pressure
-            right_ratio = right_foot / total_pressure
-            balance_index = abs(left_ratio - right_ratio)  # 平衡指数，越小越平衡
-        else:
-            left_ratio = right_ratio = 0.5
-            balance_index = 0
-        
-        return {
-            'left_foot': left_foot,
-            'right_foot': right_foot,
-            'total_pressure': total_pressure,
-            'left_ratio': left_ratio,
-            'right_ratio': right_ratio,
-            'balance_index': balance_index,
-            'center_of_pressure': pressure_data.get('center_of_pressure', {'x': 0, 'y': 0})
-        }
-    
-    def _real_time_analysis(self, session_id: str, data: Dict[str, Any]) -> Dict[str, Any]:
-        """实时分析"""
-        results = {}
-        
-        try:
-            # 获取历史数据用于趋势分析
-            with self.data_lock:
-                data_buffer = list(self.session_data[session_id]['data_buffer'])
-            
-            if len(data_buffer) < 2:
-                return results
-            
-            # 平衡分析
-            if 'pressure' in data:
-                balance_result = self.analysis_algorithms['balance_analysis'].analyze_real_time(
-                    data['pressure'], data_buffer
-                )
-                results['balance'] = balance_result
-            
-            # 姿态分析
-            if 'pose' in data or 'imu' in data:
-                posture_result = self.analysis_algorithms['posture_analysis'].analyze_real_time(
-                    data, data_buffer
-                )
-                results['posture'] = posture_result
-            
-            # 运动分析
-            movement_result = self.analysis_algorithms['movement_analysis'].analyze_real_time(
-                data, data_buffer
-            )
-            results['movement'] = movement_result
-            
-        except Exception as e:
-            logger.error(f'实时分析失败: {e}')
-        
-        return results
-    
-    def get_latest_data(self, session_id: str) -> Dict[str, Any]:
-        """获取最新数据"""
-        if session_id not in self.session_data:
-            return {}
-        
-        with self.data_lock:
-            session = self.session_data[session_id]
-            if not session['data_buffer']:
-                return {}
-            
-            latest_data = session['data_buffer'][-1]
-            real_time_metrics = session['real_time_metrics'].copy()
-        
-        return {
-            'latest_data': latest_data,
-            'real_time_metrics': real_time_metrics,
-            'data_count': len(session['data_buffer'])
-        }
-    
-    def analyze_session(self, session_id: str) -> Dict[str, Any]:
-        """分析整个会话数据"""
-        if session_id not in self.session_data:
-            logger.warning(f'会话不存在: {session_id}')
-            return {}
-        
-        try:
-            with self.data_lock:
-                session = self.session_data[session_id]
-                data_buffer = list(session['data_buffer'])
-                settings = session['settings']
-            
-            if not data_buffer:
-                return {'error': '没有数据可分析'}
-            
-            analysis_results = {}
-            
-            # 全面平衡分析
-            balance_analysis = self.analysis_algorithms['balance_analysis'].analyze_full_session(
-                data_buffer, settings
-            )
-            analysis_results['balance'] = balance_analysis
-            
-            # 全面姿态分析
-            posture_analysis = self.analysis_algorithms['posture_analysis'].analyze_full_session(
-                data_buffer, settings
-            )
-            analysis_results['posture'] = posture_analysis
-            
-            # 全面运动分析
-            movement_analysis = self.analysis_algorithms['movement_analysis'].analyze_full_session(
-                data_buffer, settings
-            )
-            analysis_results['movement'] = movement_analysis
-            
-            # 综合评估
-            overall_assessment = self._generate_overall_assessment(analysis_results)
-            analysis_results['overall'] = overall_assessment
-            
-            # 保存分析结果
-            with self.data_lock:
-                self.session_data[session_id]['analysis_results'] = analysis_results
-            
-            logger.info(f'会话分析完成: {session_id}')
-            return analysis_results
-            
-        except Exception as e:
-            logger.error(f'会话分析失败: {e}')
-            return {'error': str(e)}
-    
-    def _generate_overall_assessment(self, analysis_results: Dict[str, Any]) -> Dict[str, Any]:
-        """生成综合评估"""
-        try:
-            # 提取各项评分
-            balance_score = analysis_results.get('balance', {}).get('score', 0)
-            posture_score = analysis_results.get('posture', {}).get('score', 0)
-            movement_score = analysis_results.get('movement', {}).get('score', 0)
-            
-            # 计算综合评分（加权平均）
-            weights = {'balance': 0.4, 'posture': 0.3, 'movement': 0.3}
-            overall_score = (
-                balance_score * weights['balance'] +
-                posture_score * weights['posture'] +
-                movement_score * weights['movement']
-            )
-            
-            # 评估等级
-            if overall_score >= 90:
-                grade = 'A'
-                description = '优秀'
-            elif overall_score >= 80:
-                grade = 'B'
-                description = '良好'
-            elif overall_score >= 70:
-                grade = 'C'
-                description = '一般'
-            elif overall_score >= 60:
-                grade = 'D'
-                description = '较差'
-            else:
-                grade = 'E'
-                description = '差'
-            
-            # 生成建议
-            recommendations = self._generate_recommendations(analysis_results)
-            
-            return {
-                'score': round(overall_score, 1),
-                'grade': grade,
-                'description': description,
-                'recommendations': recommendations,
-                'component_scores': {
-                    'balance': balance_score,
-                    'posture': posture_score,
-                    'movement': movement_score
-                }
-            }
-            
-        except Exception as e:
-            logger.error(f'综合评估生成失败: {e}')
-            return {'score': 0, 'grade': 'E', 'description': '评估失败'}
-    
-    def _generate_recommendations(self, analysis_results: Dict[str, Any]) -> List[str]:
-        """生成改善建议"""
-        recommendations = []
-        
-        try:
-            # 平衡相关建议
-            balance_data = analysis_results.get('balance', {})
-            if balance_data.get('score', 0) < 80:
-                if balance_data.get('left_right_imbalance', 0) > 0.2:
-                    recommendations.append('注意左右脚压力分布，建议进行单脚站立练习')
-                if balance_data.get('stability_index', 0) > 0.5:
-                    recommendations.append('重心摆动较大，建议进行静态平衡训练')
-            
-            # 姿态相关建议
-            posture_data = analysis_results.get('posture', {})
-            if posture_data.get('score', 0) < 80:
-                if abs(posture_data.get('avg_pitch', 0)) > 5:
-                    recommendations.append('身体前后倾斜较明显，注意保持直立姿态')
-                if abs(posture_data.get('avg_roll', 0)) > 5:
-                    recommendations.append('身体左右倾斜较明显，注意身体对称性')
-            
-            # 运动相关建议
-            movement_data = analysis_results.get('movement', {})
-            if movement_data.get('score', 0) < 80:
-                if movement_data.get('movement_variability', 0) > 0.8:
-                    recommendations.append('身体摆动过大，建议进行核心稳定性训练')
-                if movement_data.get('movement_frequency', 0) > 2:
-                    recommendations.append('身体摆动频率较高，建议放松并专注于静态平衡')
-            
-            # 通用建议
-            if not recommendations:
-                recommendations.append('整体表现良好，继续保持规律的平衡训练')
-            
-        except Exception as e:
-            logger.error(f'建议生成失败: {e}')
-            recommendations = ['建议咨询专业医师进行详细评估']
-        
-        return recommendations
-    
-    def save_screenshot(self, patient_id: str, session_id: str, image_data: str, filename: str = None) -> Dict[str, Any]:
-        """保存截图"""
-        try:
-            # 参数验证
-            if not patient_id or not image_data:
-                return {'success': False, 'error': '缺少必要参数'}
-            
-            # 解码Base64图片数据
-            try:
-                # 移除data:image/jpeg;base64,前缀（如果存在）
-                if ',' in image_data:
-                    image_data = image_data.split(',')[1]
-                
-                image_bytes = base64.b64decode(image_data)
-            except Exception as e:
-                logger.error(f'Base64解码失败: {e}')
-                return {'success': False, 'error': 'Base64解码失败'}
-            
-            # 生成文件名
-            if not filename:
-                timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
-                filename = f'screenshot_{timestamp}.jpg'
-            
-            # 确保文件名以.jpg结尾
-            if not filename.lower().endswith('.jpg'):
-                filename += '.jpg'
-            
-            # 创建患者会话目录
-            root_data_dir = Path(os.path.dirname(os.path.dirname(__file__))) / 'data'
-            session_dir = root_data_dir / 'patients' / patient_id / session_id
-            session_dir.mkdir(parents=True, exist_ok=True)
-            
-            # 保存文件
-            file_path = session_dir / filename
-            with open(file_path, 'wb') as f:
-                f.write(image_bytes)
-            
-            logger.info(f'截图保存成功: {file_path}')
-            return {
-                'success': True,
-                'file_path': str(file_path),
-                'filename': filename
-            }
-            
-        except Exception as e:
-            logger.error(f'保存截图失败: {e}')
-            return {'success': False, 'error': str(e)}
-    
-    def save_recording(self, patient_id: str, session_id: str, video_data: str, filename: str = None) -> Dict[str, Any]:
-        """保存录像"""
-        try:
-            # 参数验证
-            if not patient_id or not video_data:
-                return {'success': False, 'error': '缺少必要参数'}
-            
-            # 解码Base64视频数据
-            try:
-                # 移除data:video/webm;base64,前缀（如果存在）
-                if ',' in video_data:
-                    video_data = video_data.split(',')[1]
-                
-                video_bytes = base64.b64decode(video_data)
-            except Exception as e:
-                logger.error(f'Base64解码失败: {e}')
-                return {'success': False, 'error': 'Base64解码失败'}
-            
-            # 生成文件名
-            if not filename:
-                timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
-                filename = f'recording_{timestamp}.mp4'
-            
-            # 确保文件名以.mp4结尾
-            if not filename.lower().endswith('.mp4'):
-                filename += '.mp4'
-            
-            # 创建患者会话目录
-            root_data_dir = Path(os.path.dirname(os.path.dirname(__file__))) / 'data'
-            session_dir = root_data_dir / 'patients' / patient_id / session_id
-            session_dir.mkdir(parents=True, exist_ok=True)
-            
-            # 保存文件
-            file_path = session_dir / filename
-            with open(file_path, 'wb') as f:
-                f.write(video_bytes)
-            
-            logger.info(f'录像保存成功: {file_path}')
-            return {
-                'success': True,
-                'file_path': str(file_path),
-                'filename': filename
-            }
-            
-        except Exception as e:
-            logger.error(f'保存录像失败: {e}')
-            return {'success': False, 'error': str(e)}
-    
-    def get_patient_files(self, patient_id: str) -> Dict[str, Any]:
-        """获取患者的所有文件列表，按会话ID组织"""
-        try:
-            root_data_dir = Path(os.path.dirname(os.path.dirname(__file__))) / 'data'
-            patient_dir = root_data_dir / 'patients' / patient_id
-            if not patient_dir.exists():
-                return {'sessions': {}}
-            
-            sessions = {}
-            
-            # 遍历患者目录下的所有会话目录
-            for session_dir in patient_dir.iterdir():
-                if session_dir.is_dir():
-                    session_id = session_dir.name
-                    screenshots = []
-                    recordings = []
-                    
-                    # 获取该会话下的截图列表
-                    for file_path in session_dir.glob('screenshot_*.jpg'):
-                        screenshots.append({
-                            'filename': file_path.name,
-                            'path': str(file_path),
-                            'created_time': datetime.fromtimestamp(file_path.stat().st_mtime).isoformat()
-                        })
-                    
-                    # 获取该会话下的录像列表
-                    for file_path in session_dir.glob('recording_*.mp4'):
-                        recordings.append({
-                            'filename': file_path.name,
-                            'path': str(file_path),
-                            'created_time': datetime.fromtimestamp(file_path.stat().st_mtime).isoformat()
-                        })
-                    
-                    sessions[session_id] = {
-                        'screenshots': sorted(screenshots, key=lambda x: x['created_time'], reverse=True),
-                        'recordings': sorted(recordings, key=lambda x: x['created_time'], reverse=True)
-                    }
-            
-            return {'sessions': sessions}
-            
-        except Exception as e:
-            logger.error(f'获取患者文件列表失败: {e}')
-            return {'sessions': {}}
-    
-    def end_session(self, session_id: str):
-        """结束检测会话"""
-        if session_id in self.session_data:
-            with self.data_lock:
-                del self.session_data[session_id]
-            logger.info(f'检测会话结束: {session_id}')
-
-
-class BalanceAnalyzer:
-    """平衡分析器"""
-    
-    def analyze_real_time(self, pressure_data: Dict[str, Any], data_buffer: List[Dict]) -> Dict[str, Any]:
-        """实时平衡分析"""
-        try:
-            balance_index = pressure_data.get('balance_index', 0)
-            cop = pressure_data.get('center_of_pressure', {'x': 0, 'y': 0})
-            
-            # 计算最近10个数据点的平衡稳定性
-            recent_data = data_buffer[-10:] if len(data_buffer) >= 10 else data_buffer
-            if recent_data and all('pressure' in d for d in recent_data):
-                balance_indices = [d['pressure'].get('balance_index', 0) for d in recent_data]
-                stability = 1.0 - np.std(balance_indices)  # 标准差越小，稳定性越高
-            else:
-                stability = 0.5
-            
-            return {
-                'balance_index': balance_index,
-                'stability': max(0, min(1, stability)),
-                'center_of_pressure': cop,
-                'status': 'stable' if balance_index < 0.2 else 'unstable'
-            }
-            
-        except Exception as e:
-            logger.error(f'实时平衡分析失败: {e}')
-            return {'balance_index': 0, 'stability': 0, 'status': 'unknown'}
-    
-    def analyze_full_session(self, data_buffer: List[Dict], settings: Dict) -> Dict[str, Any]:
-        """全会话平衡分析"""
-        try:
-            pressure_data = [d['pressure'] for d in data_buffer if 'pressure' in d]
-            if not pressure_data:
-                return {'score': 0, 'error': '没有压力数据'}
-            
-            # 提取关键指标
-            balance_indices = [d.get('balance_index', 0) for d in pressure_data]
-            left_ratios = [d.get('left_ratio', 0.5) for d in pressure_data]
-            right_ratios = [d.get('right_ratio', 0.5) for d in pressure_data]
-            
-            # 计算统计指标
-            avg_balance_index = np.mean(balance_indices)
-            std_balance_index = np.std(balance_indices)
-            max_balance_index = np.max(balance_indices)
-            
-            # 左右脚不平衡程度
-            left_right_imbalance = abs(np.mean(left_ratios) - np.mean(right_ratios))
-            
-            # 稳定性指数（基于标准差）
-            stability_index = std_balance_index
-            
-            # 计算评分（0-100分）
-            balance_score = max(0, 100 - avg_balance_index * 200)  # 平衡指数越小分数越高
-            stability_score = max(0, 100 - stability_index * 500)  # 稳定性越高分数越高
-            symmetry_score = max(0, 100 - left_right_imbalance * 200)  # 对称性越好分数越高
-            
-            overall_score = (balance_score + stability_score + symmetry_score) / 3
-            
-            return {
-                'score': round(overall_score, 1),
-                'avg_balance_index': round(avg_balance_index, 3),
-                'stability_index': round(stability_index, 3),
-                'left_right_imbalance': round(left_right_imbalance, 3),
-                'max_imbalance': round(max_balance_index, 3),
-                'data_points': len(pressure_data),
-                'component_scores': {
-                    'balance': round(balance_score, 1),
-                    'stability': round(stability_score, 1),
-                    'symmetry': round(symmetry_score, 1)
-                }
-            }
-            
-        except Exception as e:
-            logger.error(f'全会话平衡分析失败: {e}')
-            return {'score': 0, 'error': str(e)}
-
-
-class PostureAnalyzer:
-    """姿态分析器"""
-    
-    def analyze_real_time(self, data: Dict[str, Any], data_buffer: List[Dict]) -> Dict[str, Any]:
-        """实时姿态分析"""
-        try:
-            result = {}
-            
-            # 分析IMU数据
-            if 'imu' in data:
-                imu_data = data['imu']
-                result['pitch'] = imu_data.get('pitch', 0)
-                result['roll'] = imu_data.get('roll', 0)
-                result['total_accel'] = imu_data.get('total_accel', 0)
-            
-            # 分析姿态数据
-            if 'pose' in data:
-                pose_data = data['pose']
-                result['body_angle'] = pose_data.get('body_angle', {})
-                result['confidence'] = pose_data.get('confidence', 0)
-            
-            # 计算姿态稳定性
-            recent_data = data_buffer[-5:] if len(data_buffer) >= 5 else data_buffer
-            if recent_data:
-                if 'imu' in data:
-                    pitches = [d.get('imu', {}).get('pitch', 0) for d in recent_data if 'imu' in d]
-                    rolls = [d.get('imu', {}).get('roll', 0) for d in recent_data if 'imu' in d]
-                    
-                    if pitches and rolls:
-                        pitch_stability = 1.0 - min(1.0, np.std(pitches) / 10)
-                        roll_stability = 1.0 - min(1.0, np.std(rolls) / 10)
-                        result['stability'] = (pitch_stability + roll_stability) / 2
-            
-            return result
-            
-        except Exception as e:
-            logger.error(f'实时姿态分析失败: {e}')
-            return {}
-    
-    def analyze_full_session(self, data_buffer: List[Dict], settings: Dict) -> Dict[str, Any]:
-        """全会话姿态分析"""
-        try:
-            imu_data = [d['imu'] for d in data_buffer if 'imu' in d]
-            if not imu_data:
-                return {'score': 0, 'error': '没有IMU数据'}
-            
-            # 提取角度数据
-            pitches = [d.get('pitch', 0) for d in imu_data]
-            rolls = [d.get('roll', 0) for d in imu_data]
-            
-            # 计算统计指标
-            avg_pitch = np.mean(pitches)
-            avg_roll = np.mean(rolls)
-            std_pitch = np.std(pitches)
-            std_roll = np.std(rolls)
-            max_pitch = np.max(np.abs(pitches))
-            max_roll = np.max(np.abs(rolls))
-            
-            # 计算评分
-            pitch_score = max(0, 100 - abs(avg_pitch) * 5)  # 平均倾斜角度越小分数越高
-            roll_score = max(0, 100 - abs(avg_roll) * 5)
-            stability_score = max(0, 100 - (std_pitch + std_roll) * 10)  # 稳定性越高分数越高
-            
-            overall_score = (pitch_score + roll_score + stability_score) / 3
-            
-            return {
-                'score': round(overall_score, 1),
-                'avg_pitch': round(avg_pitch, 2),
-                'avg_roll': round(avg_roll, 2),
-                'std_pitch': round(std_pitch, 2),
-                'std_roll': round(std_roll, 2),
-                'max_pitch': round(max_pitch, 2),
-                'max_roll': round(max_roll, 2),
-                'data_points': len(imu_data),
-                'component_scores': {
-                    'pitch': round(pitch_score, 1),
-                    'roll': round(roll_score, 1),
-                    'stability': round(stability_score, 1)
-                }
-            }
-            
-        except Exception as e:
-            logger.error(f'全会话姿态分析失败: {e}')
-            return {'score': 0, 'error': str(e)}
-
-
-class MovementAnalyzer:
-    """运动分析器"""
-    
-    def analyze_real_time(self, data: Dict[str, Any], data_buffer: List[Dict]) -> Dict[str, Any]:
-        """实时运动分析"""
-        try:
-            if len(data_buffer) < 5:
-                return {'movement_detected': False}
-            
-            # 分析最近的运动模式
-            recent_data = data_buffer[-10:]
-            
-            # 计算重心位置变化
-            if 'pressure' in data:
-                cop_positions = []
-                for d in recent_data:
-                    if 'pressure' in d:
-                        cop = d['pressure'].get('center_of_pressure', {'x': 0, 'y': 0})
-                        cop_positions.append((cop['x'], cop['y']))
-                
-                if len(cop_positions) >= 2:
-                    # 计算运动幅度
-                    x_positions = [pos[0] for pos in cop_positions]
-                    y_positions = [pos[1] for pos in cop_positions]
-                    movement_range_x = np.max(x_positions) - np.min(x_positions)
-                    movement_range_y = np.max(y_positions) - np.min(y_positions)
-                    
-                    return {
-                        'movement_detected': movement_range_x > 5 or movement_range_y > 5,
-                        'movement_range_x': movement_range_x,
-                        'movement_range_y': movement_range_y,
-                        'total_movement': np.sqrt(movement_range_x**2 + movement_range_y**2)
-                    }
-            
-            return {'movement_detected': False}
-            
-        except Exception as e:
-            logger.error(f'实时运动分析失败: {e}')
-            return {'movement_detected': False}
-    
-    def analyze_full_session(self, data_buffer: List[Dict], settings: Dict) -> Dict[str, Any]:
-        """全会话运动分析"""
-        try:
-            # 提取压力中心数据
-            cop_data = []
-            for d in data_buffer:
-                if 'pressure' in d:
-                    cop = d['pressure'].get('center_of_pressure', {'x': 0, 'y': 0})
-                    cop_data.append((cop['x'], cop['y']))
-            
-            if len(cop_data) < 10:
-                return {'score': 0, 'error': '数据不足'}
-            
-            # 计算运动指标
-            x_positions = [pos[0] for pos in cop_data]
-            y_positions = [pos[1] for pos in cop_data]
-            
-            # 运动范围
-            movement_range_x = np.max(x_positions) - np.min(x_positions)
-            movement_range_y = np.max(y_positions) - np.min(y_positions)
-            total_range = np.sqrt(movement_range_x**2 + movement_range_y**2)
-            
-            # 运动变异性
-            movement_variability = np.std(x_positions) + np.std(y_positions)
-            
-            # 运动路径长度
-            path_length = 0
-            for i in range(1, len(cop_data)):
-                dx = cop_data[i][0] - cop_data[i-1][0]
-                dy = cop_data[i][1] - cop_data[i-1][1]
-                path_length += np.sqrt(dx**2 + dy**2)
-            
-            # 运动频率分析（简化）
-            movement_frequency = path_length / len(cop_data) if len(cop_data) > 0 else 0
-            
-            # 计算评分（运动幅度适中得分高）
-            range_score = max(0, 100 - total_range * 2)  # 运动范围适中
-            variability_score = max(0, 100 - movement_variability * 10)  # 变异性小
-            frequency_score = max(0, 100 - movement_frequency * 20)  # 频率适中
-            
-            overall_score = (range_score + variability_score + frequency_score) / 3
-            
-            return {
-                'score': round(overall_score, 1),
-                'movement_range_x': round(movement_range_x, 2),
-                'movement_range_y': round(movement_range_y, 2),
-                'total_range': round(total_range, 2),
-                'movement_variability': round(movement_variability, 2),
-                'path_length': round(path_length, 2),
-                'movement_frequency': round(movement_frequency, 2),
-                'data_points': len(cop_data),
-                'component_scores': {
-                    'range': round(range_score, 1),
-                    'variability': round(variability_score, 1),
-                    'frequency': round(frequency_score, 1)
-                }
-            }
-            
-        except Exception as e:
-            logger.error(f'全会话运动分析失败: {e}')
-            return {'score': 0, 'status': 'error', 'error': str(e)}
-
-
-# ==================== Flask 路由定义 ====================
-
-# 创建Blueprint
-detection_bp = Blueprint('detection', __name__)
-
-# 全局detection_engine实例
-detection_engine_instance = None
-
-def init_detection_engine():
-    """初始化检测引擎实例"""
-    global detection_engine_instance
-    if detection_engine_instance is None:
-        detection_engine_instance = DetectionEngine()
-    return detection_engine_instance
-
-@detection_bp.route('/api/screenshots/save', methods=['POST'])
-def save_screenshot():
-    """保存截图"""
-    try:
-        engine = init_detection_engine()
-        data = request.get_json()
-        
-        # 验证必需参数
-        required_fields = ['patientId', 'imageData', 'sessionId']
-        for field in required_fields:
-            if not data.get(field):
-                return jsonify({
-                    'success': False,
-                    'message': f'缺少必需参数: {field}'
-                }), 400
-        
-        patient_id = data['patientId']
-        image_data = data['imageData']
-        session_id = data['sessionId']
-        filename = data.get('filename')  # 可选参数
-        
-        # 验证base64图片数据格式
-        if not image_data.startswith('data:image/'):
-            return jsonify({
-                'success': False,
-                'message': '无效的图片数据格式'
-            }), 400
-        
-        # 调用detection_engine的保存截图方法
-        result = engine.save_screenshot(patient_id, session_id, image_data, filename)
-        
-        if result['success']:
-            return jsonify({
-                'success': True,
-                'message': '截图保存成功',
-                'filepath': result['file_path'],
-                'filename': result['filename']
-            })
-        else:
-            return jsonify({
-                'success': False,
-                'message': result['error']
-            }), 400
-        
-    except Exception as e:
-        logger.error(f'保存截图失败: {e}')
-        return jsonify({
-            'success': False,
-            'message': f'保存截图失败: {str(e)}'
-        }), 500
-
-@detection_bp.route('/api/recordings/save', methods=['POST'])
-def save_recording():
-    """保存录像"""
-    try:
-        engine = init_detection_engine()
-        data = request.get_json()
-        
-        # 验证必需参数
-        required_fields = ['patientId', 'videoData', 'sessionId']
-        for field in required_fields:
-            if not data.get(field):
-                return jsonify({
-                    'success': False,
-                    'message': f'缺少必需参数: {field}'
-                }), 400
-        
-        patient_id = data['patientId']
-        video_data = data['videoData']
-        session_id = data['sessionId']
-        filename = data.get('filename')  # 可选参数
-        
-        # 验证base64视频数据格式
-        if not (video_data.startswith('data:video/mp4') or video_data.startswith('data:video/webm')):
-            return jsonify({
-                'success': False,
-                'message': '无效的视频数据格式，仅支持MP4和WebM格式'
-            }), 400
-        
-        # 调用detection_engine的保存录像方法
-        result = engine.save_recording(patient_id, session_id, video_data, filename)
-        
-        if result['success']:
-            return jsonify({
-                'success': True,
-                'message': '录像保存成功',
-                'filepath': result['file_path'],
-                'filename': result['filename']
-            })
-        else:
-            return jsonify({
-                'success': False,
-                'message': result['error']
-            }), 400
-        
-    except Exception as e:
-        logger.error(f'保存录像失败: {e}')
-        return jsonify({
-            'success': False,
-            'message': f'保存录像失败: {str(e)}'
-        }), 500
-
-@detection_bp.route('/api/patients/<patient_id>/files', methods=['GET'])
-def get_patient_files(patient_id):
-    """获取患者的所有文件列表"""
-    try:
-        engine = init_detection_engine()
-        
-        # 调用detection_engine的获取患者文件方法
-        result = engine.get_patient_files(patient_id)
-        
-        return jsonify({
-            'success': True,
-            'data': result
-        })
-        
-    except Exception as e:
-        logger.error(f'获取患者文件列表失败: {e}')
-        return jsonify({
-            'success': False,
-            'message': f'获取患者文件列表失败: {str(e)}'
-        }), 500

backend/test_socketio.html

@@ -0,0 +1,58 @@
+<!DOCTYPE html>
+<html>
+<head>
+    <title>Socket.IO Test</title>
+    <script src="https://cdn.socket.io/4.7.2/socket.io.min.js"></script>
+</head>
+<body>
+    <h1>Socket.IO Test Page</h1>
+    <div id="status">未连接</div>
+    <button onclick="sendStartVideo()">发送 start_video 事件</button>
+    <button onclick="sendTestEvent()">发送 test_event 事件</button>
+    <div id="messages"></div>
+
+    <script>
+        const socket = io('http://localhost:5001');
+        const statusDiv = document.getElementById('status');
+        const messagesDiv = document.getElementById('messages');
+
+        function addMessage(message) {
+            const div = document.createElement('div');
+            div.textContent = new Date().toLocaleTimeString() + ': ' + message;
+            messagesDiv.appendChild(div);
+        }
+
+        socket.on('connect', function() {
+            statusDiv.textContent = '已连接 - Socket ID: ' + socket.id;
+            addMessage('连接成功');
+        });
+
+        socket.on('disconnect', function() {
+            statusDiv.textContent = '已断开连接';
+            addMessage('连接断开');
+        });
+
+        socket.on('connect_response', function(data) {
+            addMessage('收到连接响应: ' + JSON.stringify(data));
+        });
+
+        socket.on('video_status', function(data) {
+            addMessage('收到视频状态: ' + JSON.stringify(data));
+        });
+
+        socket.on('test_response', function(data) {
+            addMessage('收到测试响应: ' + JSON.stringify(data));
+        });
+
+        function sendStartVideo() {
+            addMessage('发送 start_video 事件');
+            socket.emit('start_video', {});
+        }
+
+        function sendTestEvent() {
+            addMessage('发送 test_event 事件');
+            socket.emit('test_event', {});
+        }
+    </script>
+</body>
+</html>

backend/test_socketio.py

@@ -0,0 +1,44 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+from flask import Flask
+from flask_socketio import SocketIO, emit
+import logging
+
+# 配置日志
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+app = Flask(__name__)
+app.config['SECRET_KEY'] = 'test-secret-key'
+socketio = SocketIO(app, cors_allowed_origins='*', logger=True, engineio_logger=True)
+
+@socketio.on('connect')
+def handle_connect():
+    print('=== CLIENT CONNECTED ===', flush=True)
+    logger.info('客户端已连接')
+    emit('connect_response', {'message': '连接成功'})
+
+@socketio.on('disconnect')
+def handle_disconnect():
+    print('=== CLIENT DISCONNECTED ===', flush=True)
+    logger.info('客户端已断开连接')
+
+@socketio.on('start_video')
+def handle_start_video(data=None):
+    print('=== START VIDEO EVENT RECEIVED ===', flush=True)
+    print(f'Data: {data}', flush=True)
+    logger.info('=== START VIDEO EVENT RECEIVED ===')
+    logger.info(f'Data: {data}')
+    emit('video_status', {'status': 'received', 'message': 'start_video事件已接收'})
+    return {'status': 'success'}
+
+@socketio.on('test_event')
+def handle_test_event(data=None):
+    print('=== TEST EVENT RECEIVED ===', flush=True)
+    logger.info('=== TEST EVENT RECEIVED ===')
+    emit('test_response', {'message': 'Test event received'})
+
+if __name__ == '__main__':
+    print('启动测试Socket.IO服务器...')
+    socketio.run(app, host='0.0.0.0', port=5001, debug=False)

backend/tests/azure_kinect_image_example.py

@@ -0,0 +1,273 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Azure Kinect SDK 1.4.0 图像获取示例
+
+这个示例展示了如何使用pyKinectAzure库来获取Azure Kinect DK传感器的各种图像数据：
+- 彩色图像 (Color Image)
+- 深度图像 (Depth Image) 
+- 红外图像 (Infrared Image)
+- 彩色深度图像 (Colored Depth Image)
+
+要求:
+- Azure Kinect SDK 1.4.0
+- pykinect_azure库
+- OpenCV (cv2)
+- numpy
+
+使用方法:
+1. 确保Azure Kinect DK设备已连接
+2. 运行脚本: python azure_kinect_image_example.py
+3. 按 'q' 键退出程序
+4. 按 '1' 键切换到彩色图像模式
+5. 按 '2' 键切换到深度图像模式  
+6. 按 '3' 键切换到红外图像模式
+7. 按 '4' 键切换到彩色深度图像模式
+8. 按 's' 键保存当前图像
+"""
+
+import cv2
+import numpy as np
+import os
+from datetime import datetime
+
+try:
+    import pykinect_azure as pykinect
+except ImportError:
+    print("错误: 无法导入pykinect_azure库")
+    print("请使用以下命令安装: pip install pykinect_azure")
+    exit(1)
+
+class AzureKinectImageCapture:
+    """Azure Kinect图像捕获类"""
+    
+    def __init__(self):
+        self.device = None
+        self.current_mode = 1  # 1:彩色, 2:深度, 3:红外, 4:彩色深度
+        self.save_counter = 0
+        
+        # 创建保存图像的目录
+        self.save_dir = "captured_images"
+        if not os.path.exists(self.save_dir):
+            os.makedirs(self.save_dir)
+    
+    def initialize_device(self):
+        """初始化Azure Kinect设备"""
+        try:
+            # 初始化库，解决"Compatible Azure Kinect SDK not found"兼容性问题
+            # 
+            # 方法1: 自动检测（可能遇到版本兼容性问题）
+            # pykinect.initialize_libraries()
+            #
+            # 方法2: 手动指定路径（推荐，解决版本兼容性问题）
+            # 可选的SDK路径（按优先级排序）：
+            import platform
+            import os
+            
+            sdk_paths = []
+            if platform.system() == "Windows":
+                # Orbbec SDK K4A Wrapper（推荐）
+                sdk_paths.append(r"D:\OrbbecSDK_K4A_Wrapper_v1.10.3_windows_202408091749\bin\k4a.dll")
+                
+               
+            else:
+                # Linux路径
+                sdk_paths.extend([
+                    "/usr/lib/x86_64-linux-gnu/libk4a.so",
+                    "/usr/local/lib/libk4a.so"
+                ])
+            
+            # 尝试使用可用的SDK路径
+            sdk_initialized = False
+            for sdk_path in sdk_paths:
+                if os.path.exists(sdk_path):
+                    try:
+                        print(f"尝试使用SDK路径: {sdk_path}")
+                        pykinect.initialize_libraries(module_k4a_path=sdk_path)
+                        print(f"✓ 成功使用SDK: {sdk_path}")
+                        sdk_initialized = True
+                        break
+                    except Exception as e:
+                        print(f"✗ SDK路径失败: {sdk_path} - {e}")
+                        continue
+            
+            # 如果所有手动路径都失败，尝试自动检测
+            if not sdk_initialized:
+                try:
+                    print("尝试自动检测SDK...")
+                    pykinect.initialize_libraries()
+                    print("✓ 自动检测SDK成功")
+                    sdk_initialized = True
+                except Exception as e:
+                    print(f"✗ 自动检测失败: {e}")
+            
+            if not sdk_initialized:
+                raise Exception("无法初始化Azure Kinect SDK。请检查SDK安装或手动指定正确的路径。")
+            
+            # 配置设备参数
+            device_config = pykinect.default_configuration
+            device_config.color_resolution = pykinect.K4A_COLOR_RESOLUTION_1080P  # 1080p彩色分辨率
+            device_config.depth_mode = pykinect.K4A_DEPTH_MODE_WFOV_2X2BINNED    # 宽视场深度模式
+            device_config.camera_fps = pykinect.K4A_FRAMES_PER_SECOND_30          # 30 FPS
+            device_config.synchronized_images_only = True                          # 同步图像
+            
+            print("设备配置:")
+            print(device_config)
+            
+            # 启动设备
+            self.device = pykinect.start_device(config=device_config)
+            print("Azure Kinect设备初始化成功!")
+            return True
+            
+        except Exception as e:
+            print(f"设备初始化失败: {e}")
+            print("请确保:")
+            print("1. Azure Kinect DK设备已正确连接")
+            print("2. Azure Kinect SDK 1.4.0已正确安装")
+            print("3. 设备驱动程序已安装")
+            return False
+    
+    def get_color_image(self):
+        """获取彩色图像"""
+        capture = self.device.update()
+        ret, color_image = capture.get_color_image()
+        return ret, color_image
+    
+    def get_depth_image(self):
+        """获取原始深度图像"""
+        capture = self.device.update()
+        ret, depth_image = capture.get_depth_image()
+        return ret, depth_image
+    
+    def get_colored_depth_image(self):
+        """获取彩色深度图像"""
+        capture = self.device.update()
+        ret, colored_depth_image = capture.get_colored_depth_image()
+        return ret, colored_depth_image
+    
+    def get_infrared_image(self):
+        """获取红外图像"""
+        capture = self.device.update()
+        ret, ir_image = capture.get_ir_image()
+        return ret, ir_image
+    
+    def save_image(self, image, mode_name):
+        """保存图像到文件"""
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        filename = f"{mode_name}_{timestamp}_{self.save_counter:03d}.png"
+        filepath = os.path.join(self.save_dir, filename)
+        
+        cv2.imwrite(filepath, image)
+        print(f"图像已保存: {filepath}")
+        self.save_counter += 1
+    
+    def display_instructions(self):
+        """显示操作说明"""
+        instructions = [
+            "=== Azure Kinect 图像捕获示例 ===",
+            "操作说明:",
+            "1 - 切换到彩色图像模式",
+            "2 - 切换到深度图像模式", 
+            "3 - 切换到红外图像模式",
+            "4 - 切换到彩色深度图像模式",
+            "s - 保存当前图像",
+            "q - 退出程序",
+            "================================="
+        ]
+        
+        for instruction in instructions:
+            print(instruction)
+    
+    def run(self):
+        """运行主循环"""
+        if not self.initialize_device():
+            return
+        
+        self.display_instructions()
+        
+        # 创建窗口
+        cv2.namedWindow('Azure Kinect Image', cv2.WINDOW_NORMAL)
+        cv2.resizeWindow('Azure Kinect Image', 1280, 720)
+        
+        mode_names = {
+            1: "Color Image",
+            2: "Depth Image", 
+            3: "Infrared Image",
+            4: "Colored Depth Image"
+        }
+        
+        print(f"\n当前模式: {mode_names[self.current_mode]}")
+        
+        while True:
+            try:
+                # 根据当前模式获取相应图像
+                if self.current_mode == 1:
+                    ret, image = self.get_color_image()
+                elif self.current_mode == 2:
+                    ret, image = self.get_depth_image()
+                    if ret:
+                        # 将深度图像转换为可视化格式
+                        image = cv2.convertScaleAbs(image, alpha=0.05)
+                elif self.current_mode == 3:
+                    ret, image = self.get_infrared_image()
+                    if ret:
+                        # 将红外图像转换为可视化格式
+                        image = cv2.convertScaleAbs(image, alpha=0.5)
+                elif self.current_mode == 4:
+                    ret, image = self.get_colored_depth_image()
+                
+                if not ret:
+                    continue
+                
+                # 在图像上添加模式信息
+                mode_text = f"Mode: {mode_names[self.current_mode]}"
+                cv2.putText(image, mode_text, (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 
+                           1, (0, 255, 0), 2, cv2.LINE_AA)
+                
+                # 显示图像
+                cv2.imshow('Azure Kinect Image', image)
+                
+                # 处理按键
+                key = cv2.waitKey(1) & 0xFF
+                
+                if key == ord('q'):
+                    print("退出程序...")
+                    break
+                elif key == ord('1'):
+                    self.current_mode = 1
+                    print(f"切换到: {mode_names[self.current_mode]}")
+                elif key == ord('2'):
+                    self.current_mode = 2
+                    print(f"切换到: {mode_names[self.current_mode]}")
+                elif key == ord('3'):
+                    self.current_mode = 3
+                    print(f"切换到: {mode_names[self.current_mode]}")
+                elif key == ord('4'):
+                    self.current_mode = 4
+                    print(f"切换到: {mode_names[self.current_mode]}")
+                elif key == ord('s'):
+                    self.save_image(image, mode_names[self.current_mode].replace(" ", "_"))
+                    
+            except KeyboardInterrupt:
+                print("\n程序被用户中断")
+                break
+            except Exception as e:
+                print(f"运行时错误: {e}")
+                break
+        
+        # 清理资源
+        cv2.destroyAllWindows()
+        print("程序结束")
+
+def main():
+    """主函数"""
+    print("Azure Kinect SDK 1.4.0 图像获取示例")
+    print("作者: AI Assistant")
+    print("版本: 1.0\n")
+    
+    # 创建并运行图像捕获实例
+    capture = AzureKinectImageCapture()
+    capture.run()
+
+if __name__ == "__main__":
+    main()

debug_server.py

@@ -114,7 +114,7 @@ def start_debug_server():
             host='0.0.0.0',  # 允许所有IP访问
             port=5000,
             debug=True,
-            use_reloader=True,  # 启用热重载
+            use_reloader=False,  # 禁用热重载以避免FemtoBolt设备资源冲突
             log_output=True,    # 输出详细日志
             allow_unsafe_werkzeug=True
         )

document/检测数据和图像采集规则说明.md

@@ -0,0 +1,241 @@
+# 数据采集规则说明
+
+## 概述
+
+本文档详细说明了身体平衡评估系统的数据采集规则，包括从各种传感器设备采集数据、生成图片并存储到指定路径的完整流程。
+
+## 数据库表结构
+
+### detection_data 表结构
+
+```sql
+CREATE TABLE IF NOT EXISTS detection_data (
+    id TEXT PRIMARY KEY,                               -- 记录唯一标识(YYYYMMDDHHMMSS)年月日时分秒
+    session_id TEXT NOT NULL,                          -- 检测会话ID（外键）
+    head_pose TEXT,                                    -- 头部姿态数据（JSON格式）
+    body_pose TEXT,                                    -- 身体姿态数据（JSON格式）
+    body_image TEXT,                                   -- 身体视频截图存储路径
+    foot_data TEXT,                                    -- 足部姿态数据（JSON格式）
+    foot_image TEXT,                                   -- 足部监测视频截图存储路径
+    foot_data_image TEXT,                              -- 足底压力数据图存储路径
+    screen_image TEXT,                                 -- 屏幕录制视频截图存储路径
+    timestamp TIMESTAMP,                               -- 数据记录时间戳
+    FOREIGN KEY (session_id) REFERENCES detection_sessions (id)  -- 检测会话表外键约束
+)
+```
+
+## 数据采集方法
+
+### 方法签名
+
+```python
+def collect_data(self, session_id: str, patient_id: str, screen_image_base64: str = None) -> Dict[str, Any]
+```
+
+### 参数说明
+
+- `session_id`: 检测会话ID，用于关联检测会话
+- `patient_id`: 患者ID，用于构建存储路径
+- `screen_image_base64`: 前端界面截图的base64编码数据（可选）
+
+## 数据采集详细规则
+
+### 1. 头部姿态数据 (head_pose)
+
+**数据源**: IMU传感器设备
+**存储格式**: JSON字符串
+**数据内容**:
+- `roll`: 翻滚角度 (-30° 到 30°)
+- `pitch`: 俯仰角度 (-30° 到 30°)
+- `yaw`: 偏航角度 (-180° 到 180°)
+- `acceleration`: 三轴加速度数据 (x, y, z)
+- `gyroscope`: 三轴陀螺仪数据 (x, y, z)
+- `timestamp`: 数据采集时间戳
+
+**示例数据**:
+```json
+{
+    "roll": 15.2,
+    "pitch": -8.7,
+    "yaw": 45.3,
+    "acceleration": {
+        "x": 0.5,
+        "y": -0.2,
+        "z": 9.8
+    },
+    "gyroscope": {
+        "x": 1.2,
+        "y": -0.8,
+        "z": 2.1
+    },
+    "timestamp": "2024-01-15T10:30:45.123"
+}
+```
+
+### 2. 身体姿态数据 (body_pose)
+
+**数据源**: FemtoBolt深度相机
+**存储格式**: JSON字符串
+**数据内容**:
+- `keypoints`: 身体关键点坐标和置信度
+  - 头部、颈部、肩膀、肘部、手腕
+  - 脊柱、髋部、膝盖、脚踝
+- `balance_score`: 平衡评分 (0.0-1.0)
+- `center_of_mass`: 重心坐标
+- `timestamp`: 数据采集时间戳
+
+**示例数据**:
+```json
+{
+    "keypoints": {
+        "head": {"x": 320, "y": 100, "confidence": 0.95},
+        "neck": {"x": 320, "y": 150, "confidence": 0.92},
+        "left_shoulder": {"x": 280, "y": 180, "confidence": 0.88},
+        "right_shoulder": {"x": 360, "y": 180, "confidence": 0.90}
+    },
+    "balance_score": 0.85,
+    "center_of_mass": {"x": 320, "y": 350},
+    "timestamp": "2024-01-15T10:30:45.123"
+}
+```
+
+### 3. 身体视频截图 (body_image)
+
+**数据源**: FemtoBolt深度相机
+**存储路径**: `data/patients/{患者ID}/{sessionID}/{采集时间}/body_image.jpg`
+**文件格式**: JPG图片
+**图片尺寸**: 640x480像素
+
+### 4. 足部压力数据 (foot_data)
+
+**数据源**: 压力传感器 (pressure_sensor)
+**存储格式**: JSON字符串
+**数据内容**:
+- `left_foot`: 左脚各区域压力值
+  - `heel`: 脚跟压力
+  - `arch`: 足弓压力
+  - `ball`: 前脚掌压力
+  - `toes`: 脚趾压力
+  - `total_pressure`: 总压力
+- `right_foot`: 右脚各区域压力值
+- `balance_ratio`: 左右脚压力平衡比例
+- `timestamp`: 数据采集时间戳
+
+**示例数据**:
+```json
+{
+    "left_foot": {
+        "heel": 45.2,
+        "arch": 12.8,
+        "ball": 38.5,
+        "toes": 22.1,
+        "total_pressure": 118.6
+    },
+    "right_foot": {
+        "heel": 42.8,
+        "arch": 15.2,
+        "ball": 35.9,
+        "toes": 19.7,
+        "total_pressure": 113.6
+    },
+    "balance_ratio": 0.51,
+    "timestamp": "2024-01-15T10:30:45.123"
+}
+```
+
+### 5. 足部监测视频截图 (foot_image)
+
+**数据源**: 摄像头 (camera)
+**存储路径**: `data/patients/{患者ID}/{sessionID}/{采集时间}/foot_image.jpg`
+**文件格式**: JPG图片
+**图片尺寸**: 640x480像素
+
+### 6. 足底压力数据图 (foot_data_image)
+
+**数据源**: 基于压力传感器数据生成的可视化图片
+**存储路径**: `data/patients/{患者ID}/{sessionID}/{采集时间}/foot_data_image.jpg`
+**文件格式**: JPG图片
+**图片内容**: 足底压力分布热力图
+**图片尺寸**: 400x600像素
+
+### 7. 屏幕录制截图 (screen_image)
+
+**数据源**: 前端界面截图（base64编码数据）
+**存储路径**: `data/patients/{患者ID}/{sessionID}/{采集时间}/screen_image.jpg`
+**文件格式**: JPG图片
+**数据传输**: 通过参数 `screen_image_base64` 传入
+
+## 目录结构规则
+
+### 数据存储目录结构
+
+```
+data/
+└── patients/
+    └── {患者ID}/
+        └── {sessionID}/
+            └── {采集时间}/
+                ├── body_image.jpg          # 身体视频截图
+                ├── foot_image.jpg          # 足部监测视频截图
+                ├── foot_data_image.jpg     # 足底压力数据图
+                └── screen_image.jpg        # 屏幕录制截图
+```
+
+### 采集时间格式
+
+- 格式: `YYYYMMDD_HHMMSS_mmm`
+- 说明: 年月日_时分秒_毫秒
+- 示例: `20240115_103045_123`
+
+## 数据采集流程
+
+1. **初始化**: 接收 `session_id`、`patient_id` 和可选的 `screen_image_base64` 参数
+2. **生成时间戳**: 创建精确到毫秒的时间戳作为采集标识
+3. **创建目录**: 根据患者ID、会话ID和时间戳创建存储目录
+4. **设备状态检查**: 检查各设备连接状态
+5. **数据采集**: 按顺序采集各设备数据
+   - IMU传感器 → 头部姿态数据
+   - FemtoBolt深度相机 → 身体姿态数据和身体截图
+   - 压力传感器 → 足部压力数据和压力分布图
+   - 摄像头 → 足部监测截图
+   - 前端界面 → 屏幕截图
+6. **数据存储**: 将采集的数据保存到数据库和文件系统
+7. **日志记录**: 记录采集过程和结果
+
+## 错误处理
+
+- 设备连接失败时，对应数据字段设为 `None`
+- 文件保存失败时，记录错误日志并继续其他数据采集
+- 采集过程中的异常不会中断整个流程
+- 所有错误信息都会记录到系统日志中
+
+## 数据质量保证
+
+- 所有时间戳使用统一格式
+- 图片文件使用相对路径存储
+- JSON数据格式验证
+- 文件完整性检查
+- 设备状态实时监控
+
+## 性能优化
+
+- 并发数据采集（在设备支持的情况下）
+- 图片压缩优化
+- 内存使用监控
+- 磁盘空间管理
+- 数据采集超时控制
+
+## 注意事项
+
+1. 确保所有设备在采集前已正确初始化
+2. 定期检查存储空间，避免磁盘满载
+3. 采集频率应根据实际需求调整
+4. 敏感数据需要加密存储
+5. 定期备份重要数据
+6. 遵循数据隐私保护规定
+
+---
+
+*本文档版本: 1.0*  
+*最后更新: 2025年8月*  
+*维护人员: 系统开发团队*

document/视频推流和录制规则说明.md

@@ -0,0 +1,297 @@
+# 视频推流和录制规则说明
+
+## 概述
+
+本文档详细说明了身体平衡评估系统的视频推流和录制功能规则，包括足部监视视频推流、深度相机视频推流、多路视频同步录制以及数据库存储规范。
+
+## 功能架构
+
+### 1. 视频推流功能
+
+#### 1.1 推流类型
+- **足部监视视频推流**: 来自普通摄像头的足部监测画面
+- **深度相机视频推流**: 来自FemtoBolt深度相机的身体姿态画面
+
+#### 1.2 推流技术规范
+- **传输协议**: WebSocket
+- **推流格式**: Base64编码的JPEG图像帧
+- **推流频率**: 30 FPS
+- **线程模式**: 独立线程处理，避免阻塞主程序
+- **目标端**: 前端Web页面实时显示
+
+#### 1.3 推流实现方式
+```python
+# 足部监视视频推流线程
+def _camera_streaming_thread(self):
+    # 从摄像头获取帧 → 编码 → WebSocket推送
+
+# 深度相机视频推流线程  
+def _femtobolt_streaming_thread(self):
+    # 从FemtoBolt获取帧 → 编码 → WebSocket推送
+```
+
+### 2. 视频录制功能
+
+#### 2.1 录制类型
+根据`detection_sessions`表结构，系统需要同步录制三种视频：
+
+1. **足部检测视频** (`normal_video_path`)
+   - 数据源: 普通摄像头
+   - 文件名: `feet.mp4`
+   - 内容: 足部监测画面
+
+2. **深度相机视频** (`femtobolt_video_path`)
+   - 数据源: FemtoBolt深度相机
+   - 文件名: `body.mp4`
+   - 内容: 身体姿态深度画面
+
+3. **屏幕录制视频** (`screen_video_path`)
+   - 数据源: 前端界面录制
+   - 文件名: `screen.mp4`
+   - 内容: 完整的检测界面录制
+
+#### 2.2 存储路径规范
+```
+基础路径: data/patients/{患者ID}/{sessionID}/
+├── feet.mp4          # 足部检测视频
+├── body.mp4          # 深度相机视频
+└── screen.mp4        # 屏幕录制视频
+```
+
+#### 2.3 录制参数规范
+- **视频编码**: H.264 (mp4v)
+- **分辨率**: 
+  - 足部视频: 1280x720
+  - 深度相机视频: 1920x1080 (根据FemtoBolt配置)
+  - 屏幕录制: 根据前端界面尺寸
+- **帧率**: 30 FPS
+- **音频**: 不录制音频
+
+## 核心方法设计
+
+### 3.1 录制控制方法
+
+#### 3.1.1 start_recording方法
+```python
+def start_recording(self, session_id: str, patient_id: str) -> Dict[str, bool]:
+    """
+    同步启动三个视频录制功能
+    
+    Args:
+        session_id: 检测会话ID
+        patient_id: 患者ID
+        
+    Returns:
+        Dict: 各录制任务的启动状态
+        {
+            'feet_recording': bool,
+            'body_recording': bool, 
+            'screen_recording': bool,
+            'session_updated': bool
+        }
+    """
+```
+
+**功能流程**:
+1. 创建录制目录: `data/patients/{patient_id}/{session_id}/`
+2. 初始化三个VideoWriter对象
+3. 启动三个录制线程
+4. 更新`detection_sessions`表的视频路径字段
+5. 返回启动状态
+
+#### 3.1.2 stop_recording方法
+```python
+def stop_recording(self, session_id: str) -> Dict[str, Any]:
+    """
+    同步停止所有视频录制
+    
+    Args:
+        session_id: 检测会话ID
+        
+    Returns:
+        Dict: 录制结果信息
+        {
+            'status': 'success'|'failed',
+            'video_files': {
+                'feet_video': str,
+                'body_video': str,
+                'screen_video': str
+            },
+            'file_sizes': Dict[str, int],
+            'duration': int
+        }
+    """
+```
+
+**功能流程**:
+1. 停止所有录制线程
+2. 释放VideoWriter资源
+3. 检查录制文件完整性
+4. 更新`detection_sessions`表的结束时间和持续时间
+5. 返回录制结果
+
+### 3.2 推流控制方法
+
+#### 3.2.1 start_streaming方法
+```python
+def start_streaming(self) -> Dict[str, bool]:
+    """
+    启动视频推流
+    
+    Returns:
+        Dict: 推流启动状态
+        {
+            'camera_streaming': bool,
+            'femtobolt_streaming': bool
+        }
+    """
+```
+
+#### 3.2.2 stop_streaming方法
+```python
+def stop_streaming(self) -> bool:
+    """
+    停止所有视频推流
+    
+    Returns:
+        bool: 停止操作是否成功
+    """
+```
+
+## 数据库集成规范
+
+### 4.1 detection_sessions表字段映射
+
+| 字段名 | 数据类型 | 说明 | 录制对应 |
+|--------|----------|------|----------|
+| `normal_video_path` | TEXT | 足部检测视频路径 | `feet.mp4` |
+| `femtobolt_video_path` | TEXT | 深度相机视频路径 | `body.mp4` |
+| `screen_video_path` | TEXT | 屏幕录制视频路径 | `screen.mp4` |
+| `start_time` | TIMESTAMP | 检测开始时间 | 录制开始时间 |
+| `end_time` | TIMESTAMP | 检测结束时间 | 录制结束时间 |
+| `duration` | INTEGER | 检测持续时间(秒) | 录制持续时间 |
+| `status` | TEXT | 会话状态 | recording/completed |
+
+### 4.2 数据库操作时机
+
+#### 4.2.1 录制开始时
+```sql
+UPDATE detection_sessions SET 
+    normal_video_path = 'data/patients/{patient_id}/{session_id}/feet.mp4',
+    femtobolt_video_path = 'data/patients/{patient_id}/{session_id}/body.mp4',
+    screen_video_path = 'data/patients/{patient_id}/{session_id}/screen.mp4',
+    start_time = CURRENT_TIMESTAMP,
+    status = 'recording'
+WHERE id = '{session_id}'
+```
+
+#### 4.2.2 录制结束时
+```sql
+UPDATE detection_sessions SET 
+    end_time = CURRENT_TIMESTAMP,
+    duration = CAST((julianday(CURRENT_TIMESTAMP) - julianday(start_time)) * 86400 AS INTEGER),
+    status = 'completed'
+WHERE id = '{session_id}'
+```
+
+## 线程管理规范
+
+### 5.1 推流线程
+- **线程名称**: `camera_streaming_thread`, `femtobolt_streaming_thread`
+- **线程类型**: daemon线程
+- **生命周期**: 与推流状态同步
+- **异常处理**: 线程内部捕获异常，记录日志，不影响主程序
+
+### 5.2 录制线程
+- **线程名称**: `feet_recording_thread`, `body_recording_thread`, `screen_recording_thread`
+- **线程类型**: 非daemon线程，确保录制完整性
+- **同步机制**: 使用threading.Event控制启停
+- **资源管理**: 确保VideoWriter正确释放
+
+## 错误处理和异常情况
+
+### 6.1 设备异常处理
+- 摄像头断开: 停止对应推流/录制，记录错误日志
+- FemtoBolt设备异常: 降级到普通摄像头模式
+- 存储空间不足: 停止录制，保存已录制内容
+
+### 6.2 网络异常处理
+- WebSocket连接断开: 自动重连机制
+- 推流延迟过高: 降低推流质量或帧率
+
+### 6.3 文件系统异常
+- 目录创建失败: 使用备用路径
+- 文件写入失败: 记录错误，尝试恢复
+- 磁盘空间监控: 预警机制
+
+## 性能优化策略
+
+### 7.1 内存管理
+- 帧缓冲区大小限制
+- 及时释放图像数据
+- 内存使用监控
+
+### 7.2 CPU优化
+- 多线程并行处理
+- 图像编码优化
+- 帧率自适应调整
+
+### 7.3 存储优化
+- 视频压缩参数调优
+- 分段录制避免大文件
+- 异步写入机制
+
+## 配置参数
+
+### 8.1 推流配置
+```python
+STREAMING_CONFIG = {
+    'fps': 30,
+    'quality': 80,  # JPEG质量
+    'max_frame_buffer': 10,
+    'reconnect_interval': 5  # 秒
+}
+```
+
+### 8.2 录制配置
+```python
+RECORDING_CONFIG = {
+    'fps': 30,
+    'codec': 'mp4v',
+    'max_file_size': 1024 * 1024 * 1024,  # 1GB
+    'segment_duration': 600  # 10分钟分段
+}
+```
+
+## 测试验证
+
+### 9.1 功能测试
+- [ ] 单独推流测试
+- [ ] 同步录制测试
+- [ ] 数据库更新测试
+- [ ] 异常恢复测试
+
+### 9.2 性能测试
+- [ ] 长时间录制稳定性
+- [ ] 多路并发性能
+- [ ] 内存泄漏检测
+- [ ] 存储空间使用
+
+### 9.3 兼容性测试
+- [ ] 不同设备组合
+- [ ] 不同分辨率支持
+- [ ] 浏览器兼容性
+
+## 部署注意事项
+
+1. **依赖库**: 确保OpenCV、WebSocket库版本兼容
+2. **权限设置**: 摄像头访问权限、文件写入权限
+3. **防火墙**: WebSocket端口开放
+4. **存储规划**: 预估存储空间需求
+5. **备份策略**: 重要录制文件的备份机制
+
+---
+
+*本文档版本: 1.0*  
+*最后更新: 2025年08月03日*  
+*维护人员: 系统开发团队*

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

@@ -42,15 +42,26 @@
               停止检测
             </el-button>
             <el-button 
-              v-if="isStart == true"
+              @click="handleStartStopRecording"
-              @click="handleScreenshot"
+              :disabled="!isConnected"
-              :loading="screenshotLoading"
+              type="warning" 
-              type="primary" 
+              class="start-btn"
-              style="width: 80px;background-image: linear-gradient(to right, rgb(250, 167, 6), rgb(160, 5, 216)); 
+              style="background-image: linear-gradient(to right, rgb(255, 193, 7), rgb(255, 87, 34)); 
                   --el-button-border-color: #409EFF;
-              --el-button-border-color: transparent "
+              --el-button-border-color: transparent; margin-left: 10px;"
             >
-              截图
+              {{ isRecording ? '停止录制' : '开始录制' }}
+            </el-button>
+            <el-button 
+              v-if="isStart == true"
+              @click="handleDataCollection"
+              :loading="dataCollectionLoading"
+              type="success" 
+              style="width: 120px;background-image: linear-gradient(to right, rgb(40, 167, 69), rgb(25, 135, 84)); 
+                  --el-button-border-color: #409EFF;
+              --el-button-border-color: transparent; margin-left: 10px;"
+            >
+              检测数据采集
             </el-button>
           </div>
        
@@ -75,12 +86,12 @@
             </div>
           </div>
           <div style="display: flex;justify-content: center;height: 100%;padding-top: 10px;">
+            <!-- 使用深度相机视频流替换静态图片 -->
             <img 
-              src="@/assets/posture.png" 
+              :src="depthCameraImgSrc || '@/assets/posture.png'" 
-              alt="身体姿态热力图" 
+              alt="深度相机视频流" 
-              class="posture-heatmap"
+              style="width: 100%;height: calc(100% - 10px);object-fit:contain;background:#000;"
             >
-            <!-- <video src="@/assets/video.mp4"></video> -->
           </div>
         </div>
         <div class="body-posture" style="width: 44%;    display: flex;
@@ -335,7 +346,9 @@ const route = useRoute()
 const isStart = ref(false)
 const isConnected = ref(false)
 const rtspImgSrc = ref('')
+const depthCameraImgSrc = ref('') // 深度相机视频流
 const screenshotLoading = ref(false)
+const dataCollectionLoading = ref(false)
 const isRecording = ref(false)
 
 // 录像相关变量
@@ -436,10 +449,14 @@ function connectWebSocket() {
     // 监听视频帧数据
     socket.on('video_frame', (data) => {
       frameCount++
-      console.log(`📺 收到视频帧 #${frameCount}, 数据大小: ${data.image ? data.image.length : 0} 字符`)
       displayFrame(data.image)
     })
     
+    // 监听深度相机帧数据
+    socket.on('depth_camera_frame', (data) => {
+      displayDepthCameraFrame(data.image)
+    })
+    
     // 监听错误事件
     socket.on('error', (error) => {
       console.error('❌ Socket错误:', error)
@@ -514,19 +531,128 @@ function stopRtsp() {
 function displayFrame(base64Image) {
   if (base64Image && base64Image.length > 0) {
     rtspImgSrc.value = 'data:image/jpeg;base64,' + base64Image
-    console.log(`🖼️ 视频帧已设置到img元素，base64长度: ${base64Image.length}`)
   } else {
     console.warn('⚠️ 收到空的视频帧数据')
   }
 }
 
+// 深度相机帧显示函数
+function displayDepthCameraFrame(base64Image) {
+  if (base64Image && base64Image.length > 0) {
+    depthCameraImgSrc.value = 'data:image/jpeg;base64,' + base64Image
+  } else {
+    console.warn('⚠️ 收到空的深度相机帧数据')
+  }
+}
 
 // 隐藏视频
 function hideVideo() {
   rtspImgSrc.value = ''
+  depthCameraImgSrc.value = ''
 }
 
-// 截图功能
+// 手动开始/停止录制功能
+function handleStartStopRecording() {
+  if (!isConnected.value) {
+    ElMessage.warning('WebSocket未连接，无法操作')
+    return
+  }
+  
+  if (isRecording.value) {
+    stopRecording()
+  } else {
+    startRecording()
+  }
+}
+
+// 检测数据采集功能
+async function handleDataCollection() {
+  if (dataCollectionLoading.value) return
+  
+  try {
+    dataCollectionLoading.value = true
+    
+    // 显示进度提示
+    ElMessage.info('正在采集检测数据...')
+    
+    // 检查是否有活跃的会话ID
+    if (!patientInfo.value.sessionId) {
+      throw new Error('请先开始检测再进行数据采集')
+    }
+    
+    // 调用后端API采集检测数据
+     const response = await fetch(`${BACKEND_URL}/api/detection/${patientInfo.value.sessionId}/collect`, {
+       method: 'POST',
+       headers: {
+         'Content-Type': 'application/json'
+       },
+       body: JSON.stringify({
+         patient_id: patientInfo.value.id,
+         timestamp: Date.now()
+       })
+     })
+    
+    if (!response.ok) {
+      throw new Error(`HTTP ${response.status}: ${response.statusText}`)
+    }
+    
+    const result = await response.json()
+    
+    if (result.success) {
+      // 显示成功消息
+      ElMessage.success({
+        message: `检测数据采集成功！数据ID: ${result.dataId}`,
+        duration: 5000
+      })
+      
+      console.log('✅ 检测数据采集成功:', result)
+      
+      // 更新历史数据表格
+      if (result.data) {
+        historyData.value.unshift({
+          id: result.dataId,
+          rotLeft: result.data.rotLeft || '-',
+          rotRight: result.data.rotRight || '-',
+          tiltLeft: result.data.tiltLeft || '-',
+          tiltRight: result.data.tiltRight || '-',
+          pitchDown: result.data.pitchDown || '-',
+          pitchUp: result.data.pitchUp || '-'
+        })
+        
+        // 保持最多显示10条记录
+        if (historyData.value.length > 10) {
+          historyData.value = historyData.value.slice(0, 10)
+        }
+      }
+      
+    } else {
+      throw new Error(result.message || '数据采集失败')
+    }
+    
+  } catch (error) {
+    console.error('❌ 检测数据采集失败:', error)
+    
+    // 根据错误类型显示不同的错误消息
+    let errorMessage = '检测数据采集失败'
+    if (error.message.includes('网络连接失败')) {
+      errorMessage = '网络连接失败，请检查后端服务是否正常运行'
+    } else if (error.message.includes('服务器错误')) {
+      errorMessage = error.message
+    } else {
+      errorMessage = `检测数据采集失败: ${error.message}`
+    }
+    
+    ElMessage.error({
+      message: errorMessage,
+      duration: 5000
+    })
+    
+  } finally {
+    dataCollectionLoading.value = false
+  }
+}
+
+// 截图功能（保留原有功能）
 async function handleScreenshot() {
   if (screenshotLoading.value) return
   
@@ -987,8 +1113,6 @@ async function startDetection() {
       patientInfo.value.detectionStartTime = Date.now()
       console.log('✅ 检测会话创建成功，会话ID:', patientInfo.value.sessionId)
       
-      // 开始录像
-      startRecording()
       isStart.value = true
       
       ElMessage.success('检测已开始')
@@ -1014,22 +1138,24 @@ async function stopDetection() {
       duration = Math.floor((Date.now() - patientInfo.value.detectionStartTime) / 1000)
     }
     
-    // 停止录像
+    // 如果正在录制，停止录制
-    stopRecording()
+    if (isRecording.value) {
+      stopRecording()
+    }
+    
     isStart.value = false
     
     // 调用后端API停止检测会话
-    if (patientInfo.value.sessionId) {
+     if (patientInfo.value.sessionId) {
-      const response = await fetch(`${BACKEND_URL}/api/detection/stop`, {
+       const response = await fetch(`${BACKEND_URL}/api/detection/${patientInfo.value.sessionId}/stop`, {
-        method: 'POST',
+         method: 'POST',
-        headers: {
+         headers: {
-          'Content-Type': 'application/json'
+           'Content-Type': 'application/json'
-        },
+         },
-        body: JSON.stringify({
+         body: JSON.stringify({
-          sessionId: patientInfo.value.sessionId,
+           duration: duration
-          duration: duration
+         })
-        })
+       })
-      })
       
       if (response.ok) {
         const result = await response.json()
@@ -1042,8 +1168,9 @@ async function stopDetection() {
       }
     }
     
-    // 清除检测开始时间
+    // 清除检测开始时间和会话ID
     patientInfo.value.detectionStartTime = null
+    patientInfo.value.sessionId = null
     
     ElMessage.success('检测已停止，视频继续播放')
     
@@ -1095,6 +1222,10 @@ const handleBeforeUnload = () => {
   if (isRecording.value) {
     stopRecording()
   }
+  // 停止检测（如果正在检测）
+  if (isStart.value) {
+    stopDetection()
+  }
   // 停止视频播放
   stopRtsp()
   // 断开WebSocket连接
@@ -1107,7 +1238,7 @@ onMounted(() => {
   // 加载患者信息
   loadPatientInfo()
   
-  // 组件挂载时连接WebSocket
+  // 组件挂载时连接WebSocket并自动开始推流
   connectWebSocket()
   
   // 监听页面关闭或刷新事件
@@ -1120,6 +1251,11 @@ onUnmounted(() => {
     stopRecording()
   }
   
+  // 停止检测（如果正在检测）
+  if (isStart.value) {
+    stopDetection()
+  }
+  
   // 停止视频播放并断开连接
   stopRtsp()
   

package-lock.json

@@ -12,7 +12,10 @@
       "dependencies": {
         "axios": "^1.5.0",
         "electron-log": "^4.4.8",
-        "socket.io-client": "^4.8.1"
+        "element-plus": "^2.10.4",
+        "html2canvas": "^1.4.1",
+        "socket.io-client": "^4.8.1",
+        "vue-router": "^4.5.1"
       },
       "devDependencies": {
         "concurrently": "^7.6.0",
@@ -26,6 +29,42 @@
         "npm": ">=8.0.0"
       }
     },
+    "node_modules/@babel/helper-string-parser": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmmirror.com/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz",
+      "integrity": "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==",
+      "license": "MIT",
+      "peer": true,
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-validator-identifier": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmmirror.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz",
+      "integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==",
+      "license": "MIT",
+      "peer": true,
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/parser": {
+      "version": "7.28.0",
+      "resolved": "https://registry.npmmirror.com/@babel/parser/-/parser-7.28.0.tgz",
+      "integrity": "sha512-jVZGvOxOuNSsuQuLRTh13nU0AogFlw32w/MT+LV6D3sP5WdbW61E77RnkbaO2dUvmPAYrBDJXGn5gGS6tH4j8g==",
+      "license": "MIT",
+      "peer": true,
+      "dependencies": {
+        "@babel/types": "^7.28.0"
+      },
+      "bin": {
+        "parser": "bin/babel-parser.js"
+      },
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
     "node_modules/@babel/runtime": {
       "version": "7.28.2",
       "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.28.2.tgz",
@@ -35,6 +74,29 @@
         "node": ">=6.9.0"
       }
     },
+    "node_modules/@babel/types": {
+      "version": "7.28.2",
+      "resolved": "https://registry.npmmirror.com/@babel/types/-/types-7.28.2.tgz",
+      "integrity": "sha512-ruv7Ae4J5dUYULmeXw1gmb7rYRz57OWCPM57pHojnLq/3Z1CK2lNSLTCVjxVk1F/TZHwOZZrOWi0ur95BbLxNQ==",
+      "license": "MIT",
+      "peer": true,
+      "dependencies": {
+        "@babel/helper-string-parser": "^7.27.1",
+        "@babel/helper-validator-identifier": "^7.27.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@ctrl/tinycolor": {
+      "version": "3.6.1",
+      "resolved": "https://registry.npmmirror.com/@ctrl/tinycolor/-/tinycolor-3.6.1.tgz",
+      "integrity": "sha512-SITSV6aIXsuVNV3f3O0f2n/cgyEDWoSqtZMYiAmcsYHydcKrOz3gUxB/iXd/Qf08+IZX4KpgNbvUdMBmWz+kcA==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=10"
+      }
+    },
     "node_modules/@develar/schema-utils": {
       "version": "2.6.5",
       "resolved": "https://registry.npmjs.org/@develar/schema-utils/-/schema-utils-2.6.5.tgz",
@@ -562,6 +624,40 @@
         "node": ">= 10.0.0"
       }
     },
+    "node_modules/@element-plus/icons-vue": {
+      "version": "2.3.1",
+      "resolved": "https://registry.npmmirror.com/@element-plus/icons-vue/-/icons-vue-2.3.1.tgz",
+      "integrity": "sha512-XxVUZv48RZAd87ucGS48jPf6pKu0yV5UCg9f4FFwtrYxXOwWuVJo6wOvSLKEoMQKjv8GsX/mhP6UsC1lRwbUWg==",
+      "license": "MIT",
+      "peerDependencies": {
+        "vue": "^3.2.0"
+      }
+    },
+    "node_modules/@floating-ui/core": {
+      "version": "1.7.3",
+      "resolved": "https://registry.npmmirror.com/@floating-ui/core/-/core-1.7.3.tgz",
+      "integrity": "sha512-sGnvb5dmrJaKEZ+LDIpguvdX3bDlEllmv4/ClQ9awcmCZrlx5jQyyMWFM5kBI+EyNOCDDiKk8il0zeuX3Zlg/w==",
+      "license": "MIT",
+      "dependencies": {
+        "@floating-ui/utils": "^0.2.10"
+      }
+    },
+    "node_modules/@floating-ui/dom": {
+      "version": "1.7.3",
+      "resolved": "https://registry.npmmirror.com/@floating-ui/dom/-/dom-1.7.3.tgz",
+      "integrity": "sha512-uZA413QEpNuhtb3/iIKoYMSK07keHPYeXF02Zhd6e213j+d1NamLix/mCLxBUDW/Gx52sPH2m+chlUsyaBs/Ag==",
+      "license": "MIT",
+      "dependencies": {
+        "@floating-ui/core": "^1.7.3",
+        "@floating-ui/utils": "^0.2.10"
+      }
+    },
+    "node_modules/@floating-ui/utils": {
+      "version": "0.2.10",
+      "resolved": "https://registry.npmmirror.com/@floating-ui/utils/-/utils-0.2.10.tgz",
+      "integrity": "sha512-aGTxbpbg8/b5JfU1HXSrbH3wXZuLPJcNEcZQFMxLs3oSzgtVu6nFPkbbGGUvBcUjKV2YyB9Wxxabo+HEH9tcRQ==",
+      "license": "MIT"
+    },
     "node_modules/@gar/promisify": {
       "version": "1.1.3",
       "resolved": "https://registry.npmjs.org/@gar/promisify/-/promisify-1.1.3.tgz",
@@ -685,6 +781,13 @@
         "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
       }
     },
+    "node_modules/@jridgewell/sourcemap-codec": {
+      "version": "1.5.4",
+      "resolved": "https://registry.npmmirror.com/@jridgewell/sourcemap-codec/-/sourcemap-codec-1.5.4.tgz",
+      "integrity": "sha512-VT2+G1VQs/9oz078bLrYbecdZKs912zQlkelYpuf+SXF+QvZDYJlbx/LSx+meSAwdDFnF8FVXW92AVjjkVmgFw==",
+      "license": "MIT",
+      "peer": true
+    },
     "node_modules/@malept/cross-spawn-promise": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/@malept/cross-spawn-promise/-/cross-spawn-promise-2.0.0.tgz",
@@ -807,6 +910,17 @@
         "node": ">=14"
       }
     },
+    "node_modules/@popperjs/core": {
+      "name": "@sxzz/popperjs-es",
+      "version": "2.11.7",
+      "resolved": "https://registry.npmmirror.com/@sxzz/popperjs-es/-/popperjs-es-2.11.7.tgz",
+      "integrity": "sha512-Ccy0NlLkzr0Ex2FKvh2X+OyERHXJ88XJ1MXtsI9y9fGexlaXaVTPzBCRBwIxFkORuOb+uBqeu+RqnpgYTEZRUQ==",
+      "license": "MIT",
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/popperjs"
+      }
+    },
     "node_modules/@sindresorhus/is": {
       "version": "4.6.0",
       "resolved": "https://registry.npmjs.org/@sindresorhus/is/-/is-4.6.0.tgz",
@@ -890,6 +1004,21 @@
         "@types/node": "*"
       }
     },
+    "node_modules/@types/lodash": {
+      "version": "4.17.20",
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+      "peerDependencies": {
+        "@types/lodash-es": "*",
+        "lodash": "*",
+        "lodash-es": "*"
+      }
     },
     "node_modules/lodash.get": {
       "version": "4.4.2",
@@ -3823,6 +4279,16 @@
         "node": ">=10"
       }
     },
+    "node_modules/magic-string": {
+      "version": "0.30.17",
+      "resolved": "https://registry.npmmirror.com/magic-string/-/magic-string-0.30.17.tgz",
+      "integrity": "sha512-sNPKHvyjVf7gyjwS4xGTaW/mCnF8wnjtifKBEhxfZ7E/S8tQ0rssrwGNn6q8JH/ohItJfSQp9mBtQYuTlH5QnA==",
+      "license": "MIT",
+      "peer": true,
+      "dependencies": {
+        "@jridgewell/sourcemap-codec": "^1.5.0"
+      }
+    },
     "node_modules/make-fetch-happen": {
       "version": "10.2.1",
       "resolved": "https://registry.npmjs.org/make-fetch-happen/-/make-fetch-happen-10.2.1.tgz",
@@ -3919,6 +4385,12 @@
         "node": ">= 0.4"
       }
     },
+    "node_modules/memoize-one": {
+      "version": "6.0.0",
+      "resolved": "https://registry.npmmirror.com/memoize-one/-/memoize-one-6.0.0.tgz",
+      "integrity": "sha512-rkpe71W0N0c0Xz6QD0eJETuWAJGnJ9afsl1srmwPrI+yBCkge5EycXXbYRyvL29zZVUWQCY7InPRCv3GDXuZNw==",
+      "license": "MIT"
+    },
     "node_modules/mime": {
       "version": "2.6.0",
       "resolved": "https://registry.npmjs.org/mime/-/mime-2.6.0.tgz",
@@ -4099,6 +4571,25 @@
       "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz",
       "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="
     },
+    "node_modules/nanoid": {
+      "version": "3.3.11",
+      "resolved": "https://registry.npmmirror.com/nanoid/-/nanoid-3.3.11.tgz",
+      "integrity": "sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/ai"
+        }
+      ],
+      "license": "MIT",
+      "peer": true,
+      "bin": {
+        "nanoid": "bin/nanoid.cjs"
+      },
+      "engines": {
+        "node": "^10 || ^12 || ^13.7 || ^14 || >=15.0.1"
+      }
+    },
     "node_modules/negotiator": {
       "version": "0.6.4",
       "resolved": "https://registry.npmjs.org/negotiator/-/negotiator-0.6.4.tgz",
@@ -4214,6 +4705,12 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/normalize-wheel-es": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmmirror.com/normalize-wheel-es/-/normalize-wheel-es-1.2.0.tgz",
+      "integrity": "sha512-Wj7+EJQ8mSuXr2iWfnujrimU35R2W4FAErEyTmJoJ7ucwTn2hOUSsRehMb5RSYkxXGTM7Y9QpvPmp++w5ftoJw==",
+      "license": "BSD-3-Clause"
+    },
     "node_modules/object-keys": {
       "version": "1.1.1",
       "resolved": "https://registry.npmjs.org/object-keys/-/object-keys-1.1.1.tgz",
@@ -4469,6 +4966,13 @@
       "integrity": "sha512-F3asv42UuXchdzt+xXqfW1OGlVBe+mxa2mqI0pg5yAHZPvFmY3Y6drSf/GQ1A86WgWEN9Kzh/WrgKa6iGcHXLg==",
       "dev": true
     },
+    "node_modules/picocolors": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmmirror.com/picocolors/-/picocolors-1.1.1.tgz",
+      "integrity": "sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA==",
+      "license": "ISC",
+      "peer": true
+    },
     "node_modules/pify": {
       "version": "2.3.0",
       "resolved": "https://registry.npmjs.org/pify/-/pify-2.3.0.tgz",
@@ -4492,6 +4996,35 @@
         "node": ">=10.4.0"
       }
     },
+    "node_modules/postcss": {
+      "version": "8.5.6",
+      "resolved": "https://registry.npmmirror.com/postcss/-/postcss-8.5.6.tgz",
+      "integrity": "sha512-3Ybi1tAuwAP9s0r1UQ2J4n5Y0G05bJkpUIO0/bI9MhwmD70S5aTWbXGBwxHrelT+XM1k6dM0pk+SwNkpTRN7Pg==",
+      "funding": [
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/postcss/"
+        },
+        {
+          "type": "tidelift",
+          "url": "https://tidelift.com/funding/github/npm/postcss"
+        },
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/ai"
+        }
+      ],
+      "license": "MIT",
+      "peer": true,
+      "dependencies": {
+        "nanoid": "^3.3.11",
+        "picocolors": "^1.1.1",
+        "source-map-js": "^1.2.1"
+      },
+      "engines": {
+        "node": "^10 || ^12 || >=14"
+      }
+    },
     "node_modules/postject": {
       "version": "1.0.0-alpha.6",
       "resolved": "https://registry.npmjs.org/postject/-/postject-1.0.0-alpha.6.tgz",
@@ -5055,6 +5588,16 @@
         "node": ">=0.10.0"
       }
     },
+    "node_modules/source-map-js": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmmirror.com/source-map-js/-/source-map-js-1.2.1.tgz",
+      "integrity": "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==",
+      "license": "BSD-3-Clause",
+      "peer": true,
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
     "node_modules/source-map-support": {
       "version": "0.5.21",
       "resolved": "https://registry.npmjs.org/source-map-support/-/source-map-support-0.5.21.tgz",
@@ -5374,6 +5917,15 @@
         "rimraf": "bin.js"
       }
     },
+    "node_modules/text-segmentation": {
+      "version": "1.0.3",
+      "resolved": "https://registry.npmmirror.com/text-segmentation/-/text-segmentation-1.0.3.tgz",
+      "integrity": "sha512-iOiPUo/BGnZ6+54OsWxZidGCsdU8YbE4PSpdPinp7DeMtUJNJBoJ/ouUSTJjHkh1KntHaltHl/gDs2FC4i5+Nw==",
+      "license": "MIT",
+      "dependencies": {
+        "utrie": "^1.0.2"
+      }
+    },
     "node_modules/tiny-async-pool": {
       "version": "1.3.0",
       "resolved": "https://registry.npmjs.org/tiny-async-pool/-/tiny-async-pool-1.3.0.tgz",
@@ -5472,7 +6024,7 @@
       "version": "5.8.3",
       "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.8.3.tgz",
       "integrity": "sha512-p1diW6TqL9L07nNxvRMM7hMMw4c5XOo/1ibL4aAIGmSAt9slTE1Xgw5KWuof2uTOvCg9BY7ZRi+GaF+7sfgPeQ==",
-      "dev": true,
+      "devOptional": true,
       "bin": {
         "tsc": "bin/tsc",
         "tsserver": "bin/tsserver"
@@ -5541,6 +6093,15 @@
       "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==",
       "dev": true
     },
+    "node_modules/utrie": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmmirror.com/utrie/-/utrie-1.0.2.tgz",
+      "integrity": "sha512-1MLa5ouZiOmQzUbjbu9VmjLzn1QLXBhwpUa7kdLUQK+KQ5KA9I1vk5U4YHe/X2Ch7PYnJfWuWT+VbuxbGwljhw==",
+      "license": "MIT",
+      "dependencies": {
+        "base64-arraybuffer": "^1.0.2"
+      }
+    },
     "node_modules/validate-npm-package-license": {
       "version": "3.0.4",
       "resolved": "https://registry.npmjs.org/validate-npm-package-license/-/validate-npm-package-license-3.0.4.tgz",
@@ -5566,6 +6127,43 @@
         "node": ">=0.6.0"
       }
     },
+    "node_modules/vue": {
+      "version": "3.5.18",
+      "resolved": "https://registry.npmmirror.com/vue/-/vue-3.5.18.tgz",
+      "integrity": "sha512-7W4Y4ZbMiQ3SEo+m9lnoNpV9xG7QVMLa+/0RFwwiAVkeYoyGXqWE85jabU4pllJNUzqfLShJ5YLptewhCWUgNA==",
+      "license": "MIT",
+      "peer": true,
+      "dependencies": {
+        "@vue/compiler-dom": "3.5.18",
+        "@vue/compiler-sfc": "3.5.18",
+        "@vue/runtime-dom": "3.5.18",
+        "@vue/server-renderer": "3.5.18",
+        "@vue/shared": "3.5.18"
+      },
+      "peerDependencies": {
+        "typescript": "*"
+      },
+      "peerDependenciesMeta": {
+        "typescript": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/vue-router": {
+      "version": "4.5.1",
+      "resolved": "https://registry.npmmirror.com/vue-router/-/vue-router-4.5.1.tgz",
+      "integrity": "sha512-ogAF3P97NPm8fJsE4by9dwSYtDwXIY1nFY9T6DyQnGHd1E2Da94w9JIolpe42LJGIl0DwOHBi8TcRPlPGwbTtw==",
+      "license": "MIT",
+      "dependencies": {
+        "@vue/devtools-api": "^6.6.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/posva"
+      },
+      "peerDependencies": {
+        "vue": "^3.2.0"
+      }
+    },
     "node_modules/wcwidth": {
       "version": "1.0.1",
       "resolved": "https://registry.npmjs.org/wcwidth/-/wcwidth-1.0.1.tgz",

test_websocket.py

@@ -25,7 +25,7 @@ try:
                 event_name, data = event
                 print(f'收到事件: {event_name}, 数据类型: {type(data)}')
                 if event_name == 'video_frame' and isinstance(data, dict) and 'image' in data:
-                    print(f'收到图像数据，长度: {len(data["image"])} 字符')
+                    pass  # 图像数据已接收
                 elif event_name == 'video_status':
                     print(f'视频状态: {data}')
         except socketio.exceptions.TimeoutError: