BodyBalanceEvaluation/backend/app.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
平衡体态检测系统 - 后端服务
基于Flask的本地API服务
"""

import os
import sys
import json
import time
import threading
from datetime import datetime
from flask import Flask, request, jsonify, send_file
from flask_cors import CORS
import sqlite3
import logging
from pathlib import Path
from flask_socketio import SocketIO, emit
import cv2
import base64
import configparser
from concurrent.futures import ThreadPoolExecutor
import queue
import gc
import psutil
import os

# 添加当前目录到Python路径
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
from detection_engine import DetectionEngine
from data_processor import DataProcessor

# 配置日志
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
    handlers=[
        logging.FileHandler('logs/backend.log', encoding='utf-8'),
        logging.StreamHandler()
    ]
)
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')

# 启用CORS支持
CORS(app, origins='*', supports_credentials=True, allow_headers=['Content-Type', 'Authorization'], methods=['GET', 'POST', 'PUT', 'DELETE', 'OPTIONS'])

# 读取RTSP配置
config = configparser.ConfigParser()
config.read(os.path.join(os.path.dirname(__file__), 'config.ini'), encoding='utf-8')
rtsp_url = config.get('CAMERA', 'rtsp_url', fallback=None)

# 全局变量
db_manager = None
device_manager = None
detection_engine = None
data_processor = None
current_detection = None
detection_thread = None
rtsp_thread = None
rtsp_running = False
# 用于异步编码的线程池和队列
encoding_executor = ThreadPoolExecutor(max_workers=2)
frame_queue = queue.Queue(maxsize=1)  # 只保留最新的一帧
# 内存优化配置
frame_skip_counter = 0
FRAME_SKIP_RATIO = 1  # 每3帧发送1帧，减少网络和内存压力
MAX_FRAME_SIZE = (640, 480)  # 进一步减小帧尺寸以节省内存
MAX_MEMORY_USAGE = 200 * 1024 * 1024  # 100MB内存限制
memory_check_counter = 0
MEMORY_CHECK_INTERVAL = 50  # 每50帧检查一次内存

def get_memory_usage():
    """获取当前进程内存使用量（字节）"""
    try:
        process = psutil.Process(os.getpid())
        return process.memory_info().rss
    except:
        return 0

def async_encode_frame(frame, frame_count):
    """异步编码帧 - 内存优化版本"""
    global memory_check_counter
    
    try:
        # 内存检查
        memory_check_counter += 1
        if memory_check_counter >= MEMORY_CHECK_INTERVAL:
            memory_check_counter = 0
            current_memory = get_memory_usage()
            if current_memory > MAX_MEMORY_USAGE:
                logger.warning(f"内存使用过高: {current_memory / 1024 / 1024:.2f}MB，强制清理")
                gc.collect()
                # 如果内存仍然过高，跳过此帧
                if get_memory_usage() > MAX_MEMORY_USAGE:
                    del frame
                    return
        
        # 更激进的图像尺寸压缩以节省内存
        height, width = frame.shape[:2]
        target_width, target_height = MAX_FRAME_SIZE
        
        if width > target_width or height > target_height:
            # 计算缩放比例，保持宽高比
            scale_w = target_width / width
            scale_h = target_height / height
            scale = min(scale_w, scale_h)
            
            new_width = int(width * scale)
            new_height = int(height * scale)
            
            # 使用更快的插值方法减少CPU使用
            frame = cv2.resize(frame, (new_width, new_height), interpolation=cv2.INTER_AREA)
        
        # 优化JPEG编码参数：优先考虑速度和内存
        encode_param = [
            int(cv2.IMWRITE_JPEG_QUALITY), 50,  # 进一步降低质量以减少内存使用
            int(cv2.IMWRITE_JPEG_OPTIMIZE), 1,   # 启用优化
            int(cv2.IMWRITE_JPEG_PROGRESSIVE), 0  # 禁用渐进式以减少内存
        ]
        
        success, buffer = cv2.imencode('.jpg', frame, encode_param)
        if not success:
            logger.error('图像编码失败')
            return
            
        # 立即释放frame内存
        del frame
        
        jpg_as_text = base64.b64encode(buffer).decode('utf-8')
        
        # 立即释放buffer内存
        del buffer
        
        # 发送数据
        socketio.emit('rtsp_frame', {
            'image': jpg_as_text, 
            'frame_id': frame_count,
            'timestamp': time.time()
        })
        
        # 立即释放base64字符串
        del jpg_as_text
        
    except Exception as e:
        logger.error(f'异步编码帧失败: {e}')
    finally:
        # 定期强制垃圾回收
        if memory_check_counter % 10 == 0:
            gc.collect()

def frame_encoding_worker():
    """帧编码工作线程"""
    while rtsp_running:
        try:
            # 从队列获取帧
            frame, frame_count = frame_queue.get(timeout=1)
            # 提交到线程池进行异步编码
            encoding_executor.submit(async_encode_frame, frame, frame_count)
        except queue.Empty:
            continue
        except Exception as e:
            logger.error(f'帧编码工作线程异常: {e}')

def init_app():
    """初始化应用"""
    global db_manager, device_manager, detection_engine, data_processor
    
    try:
        # 创建必要的目录
        os.makedirs('logs', exist_ok=True)
        os.makedirs('data', exist_ok=True)
        os.makedirs('exports', exist_ok=True)
        os.makedirs('videos', exist_ok=True)
        
        # 初始化数据库
        db_manager = DatabaseManager('data/body_balance.db')
        db_manager.init_database()
        
        # 初始化设备管理器
        device_manager = DeviceManager()
        
        # 初始化检测引擎
        detection_engine = DetectionEngine()
        
        # 初始化数据处理器
        data_processor = DataProcessor()
        
        logger.info('应用初始化完成')
        
    except Exception as e:
        logger.error(f'应用初始化失败: {e}')
        raise

# ==================== 基础API ====================

@app.route('/health', methods=['GET'])
def health_check():
    """健康检查"""
    return jsonify({
        'status': 'ok',
        'timestamp': datetime.now().isoformat(),
        'version': '1.0.0'
    })

@app.route('/api/health', methods=['GET'])
def api_health_check():
    """API健康检查"""
    return jsonify({
        'status': 'ok',
        'timestamp': datetime.now().isoformat(),
        'version': '1.0.0'
    })

# ==================== 认证API ====================

@app.route('/api/auth/login', methods=['POST'])
def login():
    """用户登录"""
    try:
        data = request.get_json()
        username = data.get('username')
        password = data.get('password')
        remember = data.get('remember', False)
        
        # 简单的模拟登录验证
        if username and password:
            # 这里可以添加真实的用户验证逻辑
            # 目前使用模拟数据
            user_data = {
                'id': 1,
                'username': username,
                'name': '医生',
                'role': 'doctor',
                'avatar': ''
            }
            
            # 生成简单的token（实际项目中应使用JWT等安全token）
            token = f"token_{username}_{int(time.time())}"
            
            return jsonify({
                'success': True,
                'data': {
                    'token': token,
                    'user': user_data
                },
                'message': '登录成功'
            })
        else:
            return jsonify({
                'success': False,
                'message': '用户名或密码不能为空'
            }), 400
            
    except Exception as e:
        logger.error(f'登录失败: {e}')
        return jsonify({'success': False, 'message': '登录失败'}), 500

@app.route('/api/auth/register', methods=['POST'])
def register():
    """用户注册"""
    try:
        data = request.get_json()
        username = data.get('username')
        password = data.get('password')
        email = data.get('email')
        
        # 简单的模拟注册
        if username and password:
            return jsonify({
                'success': True,
                'message': '注册成功，请登录'
            })
        else:
            return jsonify({
                'success': False,
                'message': '用户名和密码不能为空'
            }), 400
            
    except Exception as e:
        logger.error(f'注册失败: {e}')
        return jsonify({'success': False, 'message': '注册失败'}), 500

@app.route('/api/auth/logout', methods=['POST'])
def logout():
    """用户退出"""
    try:
        return jsonify({
            'success': True,
            'message': '退出成功'
        })
    except Exception as e:
        logger.error(f'退出失败: {e}')
        return jsonify({'success': False, 'message': '退出失败'}), 500

@app.route('/api/auth/verify', methods=['GET'])
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')
        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
            return jsonify({
                'success': True,
                'data': {'valid': True}
            })
        else:
            return jsonify({
                'success': True,
                'data': {'valid': True}  # 暂时总是返回有效
            })
    except Exception as e:
        logger.error(f'验证token失败: {e}')
        return jsonify({'success': False, 'message': '验证失败'}), 500

@app.route('/api/auth/forgot-password', methods=['POST'])
def forgot_password():
    """忘记密码"""
    try:
        data = request.get_json()
        email = data.get('email')
        
        if email:
            return jsonify({
                'success': True,
                'message': '重置密码邮件已发送'
            })
        else:
            return jsonify({
                'success': False,
                'message': '邮箱不能为空'
            }), 400
            
    except Exception as e:
        logger.error(f'忘记密码处理失败: {e}')
        return jsonify({'success': False, 'message': '处理失败'}), 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():
    """获取系统信息"""
    try:
        info = {
            'version': '1.0.0',
            'start_time': datetime.now().isoformat(),
            'database_status': 'connected' if db_manager else 'disconnected',
            'device_count': len(device_manager.get_connected_devices()) if device_manager else 0
        }
        return jsonify({'success': True, 'data': info})
    except Exception as e:
        logger.error(f'获取系统信息失败: {e}')
        return jsonify({'success': False, 'error': str(e)}), 500

# ==================== 设备管理API ====================

@app.route('/api/devices/status', methods=['GET'])
def get_device_status():
    """获取设备状态"""
    try:
        if not device_manager:
            return jsonify({'camera': False, 'imu': False, 'pressure': False})
        
        status = device_manager.get_device_status()
        return jsonify(status)
    except Exception as e:
        logger.error(f'获取设备状态失败: {e}')
        return jsonify({'camera': False, 'imu': False, 'pressure': False})

@app.route('/api/devices/refresh', methods=['POST'])
def refresh_devices():
    """刷新设备连接"""
    try:
        if device_manager:
            device_manager.refresh_devices()
        return jsonify({'success': True, 'message': '设备已刷新'})
    except Exception as e:
        logger.error(f'刷新设备失败: {e}')
        return jsonify({'success': False, 'error': str(e)}), 500

@app.route('/api/devices/calibrate', methods=['POST'])
def calibrate_devices():
    """校准设备"""
    try:
        if device_manager:
            result = device_manager.calibrate_devices()
            return jsonify({'success': True, 'data': result})
        return jsonify({'success': False, 'error': '设备管理器未初始化'}), 500
    except Exception as e:
        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'])
def get_patients():
    """获取患者列表"""
    try:
        page = int(request.args.get('page', 1))
        size = int(request.args.get('size', 10))
        keyword = 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 = 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 = 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=['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

# ==================== 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:
        if current_detection and current_detection.get('status') == 'running':
            return jsonify({'success': False, 'error': '检测已在进行中'}), 400
        
        data = request.get_json()
        patient_id = data.get('patientId')
        settings = data.get('settings', {})
        
        # 创建检测会话
        session_id = db_manager.create_detection_session(patient_id, settings)
        
        # 初始化检测状态
        current_detection = {
            'session_id': session_id,
            'patient_id': patient_id,
            'status': 'running',
            'start_time': datetime.now(),
            'settings': settings,
            'data_points': 0
        }
        
        # 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'])
def stop_detection():
    """停止检测"""
    global current_detection
    
    try:
        if not current_detection or current_detection.get('status') != 'running':
            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'
        current_detection['end_time'] = datetime.now()
        
        # 等待检测线程结束
        if detection_thread and detection_thread.is_alive():
            detection_thread.join(timeout=5)
        
        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, 'error': 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'}
            })
        
        # 计算运行时间
        if current_detection.get('status') == 'running':
            elapsed = (datetime.now() - current_detection['start_time']).total_seconds()
            current_detection['elapsed_time'] = int(elapsed)
        
        return jsonify({
            'success': True,
            'data': current_detection
        })
        
    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'])
def get_realtime_data():
    """获取实时检测数据"""
    try:
        if not current_detection or current_detection.get('status') != 'running':
            return jsonify({'success': False, 'error': '没有正在进行的检测'})
        
        # 获取最新的检测数据
        session_id = current_detection['session_id']
        data = detection_engine.get_latest_data(session_id)
        
        return jsonify({
            'success': True,
            'data': data
        })
        
    except Exception as e:
        logger.error(f'获取实时数据失败: {e}')
        return jsonify({'success': False, 'error': str(e)}), 500

# ==================== 数据分析API ====================

@app.route('/api/analysis/session/<session_id>', methods=['GET'])
def analyze_session(session_id):
    """分析检测会话数据"""
    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
        analysis_result = data_processor.analyze_session(session_data)
        
        # 保存分析结果
        db_manager.save_analysis_result(session_id, analysis_result)
        
        return jsonify({
            'success': True,
            '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'
        )
        
    except Exception as e:
        logger.error(f'导出报告失败: {e}')
        return jsonify({'success': False, 'error': str(e)}), 500

# ==================== 历史记录API ====================

@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))
        size = int(request.args.get('size', 10))
        patient_id = request.args.get('patient_id')
        
        sessions = db_manager.get_detection_sessions(page, size, patient_id)
        total = db_manager.get_sessions_count(patient_id)
        
        return jsonify({
            'success': True,
            'data': {
                'sessions': sessions,
                'total': total,
                'page': page,
                'size': size
            }
        })
        
    except Exception as e:
        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)

# ==================== 截图保存API ====================

@app.route('/api/screenshots/save', methods=['POST'])
def save_screenshot():
    """保存截图"""
    try:
        data = request.get_json()
        
        # 验证必需参数
        required_fields = ['patientId', 'patientName', 'sessionId', 'imageData']
        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']
        patient_name = data['patientName']
        session_id = data['sessionId']
        image_data = data['imageData']
        
        # 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
        
        # 提取base64数据
        try:
            header, encoded = image_data.split(',', 1)
            image_bytes = base64.b64decode(encoded)
        except Exception as e:
            return jsonify({
                'success': False,
                'message': f'图片数据解码失败: {str(e)}'
            }), 400
        
        # 创建文件夹结构
        screenshots_dir = Path('screenshots')
        patient_dir = screenshots_dir / f'{patient_id}_{patient_name}'
        session_dir = patient_dir / f'{session_id}'
        
        # 确保目录存在
        session_dir.mkdir(parents=True, exist_ok=True)
        
        # 生成文件名（4位流水号）
        existing_files = list(session_dir.glob(f'{patient_id}_{session_id}_*.png'))
        next_number = len(existing_files) + 1
        filename = f'{patient_id}_{session_id}_{next_number:04d}.png'
        filepath = session_dir / filename
        
        # 保存图片文件
        with open(filepath, 'wb') as f:
            f.write(image_bytes)
        
        # 记录到数据库（如果需要）
        try:
            # 这里可以添加数据库记录逻辑
            # db_manager.save_screenshot_record(patient_id, session_id, str(filepath))
            pass
        except Exception as e:
            logger.warning(f'保存截图记录到数据库失败: {e}')
        
        logger.info(f'截图保存成功: {filepath}')
        
        return jsonify({
            'success': True,
            'message': '截图保存成功',
            'filepath': str(filepath),
            'filename': filename
        })
        
    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

# ==================== 录像保存API ====================

@app.route('/api/recordings/save', methods=['POST'])
def save_recording():
    """保存录像"""
    try:
        data = request.get_json()
        
        # 验证必需参数
        required_fields = ['patientId', 'patientName', 'sessionId', 'videoData']
        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']
        patient_name = data['patientName']
        session_id = data['sessionId']
        video_data = data['videoData']
        mime_type = data.get('mimeType', 'video/webm;codecs=vp9')  # 默认webm格式
        
        # 验证base64视频数据格式
        if not video_data.startswith('data:video/'):
            return jsonify({
                'success': False,
                'message': '无效的视频数据格式'
            }), 400
        
        # 提取base64数据
        try:
            header, encoded = video_data.split(',', 1)
            video_bytes = base64.b64decode(encoded)
        except Exception as e:
            return jsonify({
                'success': False,
                'message': f'视频数据解码失败: {str(e)}'
            }), 400
        
        # 创建文件夹结构（与截图保存相同的结构）
        recordings_dir = Path('screenshots')  # 使用同一个根目录
        patient_dir = recordings_dir / f'{patient_id}_{patient_name}'
        session_dir = patient_dir / f'{session_id}'
        
        # 确保目录存在
        session_dir.mkdir(parents=True, exist_ok=True)
        
        # 根据mimeType确定文件扩展名
        if 'mp4' in mime_type:
            file_extension = 'mp4'
        elif 'webm' in mime_type:
            file_extension = 'webm'
        else:
            file_extension = 'webm'  # 默认扩展名
        
        # 生成文件名
        filename = f'{patient_id}_{session_id}_recording.{file_extension}'
        filepath = session_dir / filename
        
        logger.info(f'录像格式: {mime_type}, 文件扩展名: {file_extension}')
        
        # 保存视频文件
        with open(filepath, 'wb') as f:
            f.write(video_bytes)
        
        # 记录到数据库（如果需要）
        try:
            # 这里可以添加数据库记录逻辑
            # db_manager.save_recording_record(patient_id, session_id, str(filepath))
            pass
        except Exception as e:
            logger.warning(f'保存录像记录到数据库失败: {e}')
        
        logger.info(f'录像保存成功: {filepath}')
        
        return jsonify({
            'success': True,
            'message': '录像保存成功',
            'filepath': str(filepath),
            'filename': filename
        })
        
    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

# ==================== 错误处理 ====================

@app.errorhandler(404)
def not_found(error):
    return jsonify({'success': False, 'error': 'API接口不存在'}), 404

@app.errorhandler(500)
def internal_error(error):
    return jsonify({'success': False, 'error': '服务器内部错误'}), 500

if __name__ == '__main__':
    import argparse
    
    # 解析命令行参数
    parser = argparse.ArgumentParser(description='Body Balance Evaluation System Backend')
    parser.add_argument('--host', default=None, help='Host address to bind to')
    parser.add_argument('--port', type=int, default=None, help='Port number to bind to')
    parser.add_argument('--debug', action='store_true', help='Enable debug mode')
    args = parser.parse_args()
    
    try:
        # 初始化应用
        init_app()
        
        # 确定主机和端口
        host = args.host if args.host else config.get('SERVER', 'host', fallback='127.0.0.1')
        port = args.port if args.port else config.getint('SERVER', 'port', fallback=5000)
        debug = args.debug if args.debug else config.getboolean('APP', 'debug', fallback=False)
        
        # 启动Flask+SocketIO服务
        logger.info(f'启动后端服务... Host: {host}, Port: {port}, Debug: {debug}')
        socketio.run(app,
            host=host,
            port=port,
            debug=debug,
            use_reloader=False,  # 禁用热重载以避免进程问题
            log_output=True,     # 启用详细日志
            allow_unsafe_werkzeug=True
        )
    except KeyboardInterrupt:
        logger.info('服务被用户中断')
    except Exception as e:
        logger.error(f'服务启动失败: {e}')
        sys.exit(1)
    finally:
        logger.info('后端服务已停止')

# ==================== WebSocket 实时推送RTSP帧 ====================

def generate_test_frame(frame_count):
    """生成测试帧"""
    import numpy as np
    width, height = 640, 480
    
    # 创建黑色背景
    frame = np.zeros((height, width, 3), dtype=np.uint8)
    
    # 添加动态元素
    timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]
    
    # 添加时间戳
    cv2.putText(frame, timestamp, (10, 90), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 255), 2)
    
    # 添加帧计数
    cv2.putText(frame, f'TEST Frame: {frame_count}', (10, 120), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 255), 2)
    
    # 添加移动的圆形
    center_x = int(320 + 200 * np.sin(frame_count * 0.1))
    center_y = int(240 + 100 * np.cos(frame_count * 0.1))
    cv2.circle(frame, (center_x, center_y), 30, (255, 0, 0), -1)
    
    # 添加变化的矩形
    rect_size = int(50 + 30 * np.sin(frame_count * 0.05))
    cv2.rectangle(frame, (500, 200), (500 + rect_size, 200 + rect_size), (0, 0, 255), -1)
    
    return frame

def generate_rtsp_frames():
    global rtsp_running
    frame_count = 0
    error_count = 0
    use_test_mode = False
    last_frame_time = time.time()
    
    logger.info(f'开始生成RTSP帧，URL: {rtsp_url}')
    
    try:
        cap = cv2.VideoCapture(rtsp_url)
        if not cap.isOpened():
            logger.warning(f'无法打开RTSP流: {rtsp_url}，切换到测试模式')
            use_test_mode = True
            socketio.emit('rtsp_status', {'status': 'started', 'message': '使用测试视频源'})
        else:
            # 最激进的实时优化设置
            cap.set(cv2.CAP_PROP_BUFFERSIZE, 0)  # 完全禁用缓冲区
            cap.set(cv2.CAP_PROP_FPS, 60)  # 提高帧率到60fps
            cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'))  # MJPEG编码
            # 设置更低的分辨率以减少处理时间
            cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
            cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
            logger.info('RTSP流已打开，开始推送帧（激进实时模式）')
            socketio.emit('rtsp_status', {'status': 'started', 'message': '使用RTSP视频源（激进实时模式）'})
            
        rtsp_running = True
        
        # 启动帧编码工作线程
        encoding_thread = threading.Thread(target=frame_encoding_worker)
        encoding_thread.daemon = True
        encoding_thread.start()
        
        while rtsp_running:
            if use_test_mode:
                # 使用测试模式生成帧
                frame = generate_test_frame(frame_count)
                ret = True
            else:
                # 使用RTSP流，添加帧跳过机制减少延迟
                ret, frame = cap.read()
                if not ret:
                    error_count += 1
                    logger.warning(f'RTSP读取帧失败（第{error_count}次），尝试重连...')
                    if 'cap' in locals():
                        cap.release()
                    
                    if error_count > 5:
                        logger.warning('RTSP连接失败次数过多，切换到测试模式')
                        use_test_mode = True
                        socketio.emit('rtsp_status', {'status': 'switched', 'message': '已切换到测试视频源'})
                        continue
                        
                    # 立即重连，不等待
                    cap = cv2.VideoCapture(rtsp_url)
                    if cap.isOpened():
                        # 重连时应用相同的激进实时设置
                        cap.set(cv2.CAP_PROP_BUFFERSIZE, 0)
                        cap.set(cv2.CAP_PROP_FPS, 60)
                        cap.set(cv2.CAP_PROP_FOURCC, cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'))
                        cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
                        cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
                    continue
                    
                error_count = 0  # 重置错误计数
                
                # 内存优化的帧跳过策略
                # 减少跳帧数量，避免过度内存使用
                skip_count = 0
                while skip_count < 3:  # 减少到最多跳过3帧
                    temp_ret, temp_frame = cap.read()
                    if temp_ret:
                        # 立即释放之前的帧
                        if 'frame' in locals():
                            del frame
                        frame = temp_frame
                        skip_count += 1
                    else:
                        break
                
                # 降低帧率以减少内存压力
                current_time = time.time()
                if current_time - last_frame_time < 1/20:  # 降低到20fps最大频率
                    continue
                last_frame_time = current_time
            
            frame_count += 1
            
            # 实现帧跳过以减少内存和网络压力
            global frame_skip_counter
            frame_skip_counter += 1
            
            if frame_skip_counter % (FRAME_SKIP_RATIO + 1) != 0:
                # 跳过此帧，立即释放内存
                del frame
                continue
            
            try:
                # 将帧放入队列进行异步处理
                try:
                    # 非阻塞方式放入队列，如果队列满了就丢弃旧帧
                    frame_queue.put_nowait((frame.copy(), frame_count))
                except queue.Full:
                    # 队列满了，清空队列并放入新帧
                    try:
                        old_frame, _ = frame_queue.get_nowait()
                        del old_frame  # 立即释放旧帧内存
                    except queue.Empty:
                        pass
                    frame_queue.put_nowait((frame.copy(), frame_count))
                
                # 立即释放原始帧内存
                del frame
                
                if frame_count % 60 == 0:  # 每60帧记录一次
                    logger.info(f'已推送 {frame_count} 帧到编码队列，跳过率: {FRAME_SKIP_RATIO}/{FRAME_SKIP_RATIO+1}')
                    # 定期强制垃圾回收
                    import gc
                    gc.collect()
                    
            except Exception as e:
                logger.error(f'帧队列处理失败: {e}')
                
            # 移除sleep以获得最大处理速度，让系统自然限制帧率
            # time.sleep(1/60)  # 注释掉sleep以获得最大实时性
            
    except Exception as e:
        logger.error(f'RTSP推流异常: {e}')
        socketio.emit('rtsp_status', {'status': 'error', 'message': f'推流异常: {str(e)}'})
    finally:
        if 'cap' in locals():
            cap.release()
        rtsp_running = False
        logger.info(f'RTSP推流结束，总共推送了 {frame_count} 帧')

@socketio.on('start_rtsp')
def handle_start_rtsp(data=None):
    global rtsp_thread, rtsp_running
    logger.info(f'收到start_rtsp事件，客户端ID: {request.sid}, 数据: {data}')
    
    try:
        if rtsp_thread and rtsp_thread.is_alive():
            logger.warning('RTSP线程已在运行')
            emit('rtsp_status', {'status': 'already_running', 'message': 'RTSP已在运行'})
            return
        
        if not rtsp_url:
            logger.error('RTSP URL未配置')
            emit('rtsp_status', {'status': 'error', 'message': 'RTSP URL未配置'})
            return
            
        logger.info(f'启动RTSP线程，URL: {rtsp_url}')
        rtsp_thread = threading.Thread(target=generate_rtsp_frames)
        rtsp_thread.daemon = True
        rtsp_thread.start()
        
        logger.info('RTSP线程已启动')
        emit('rtsp_status', {'status': 'started', 'message': 'RTSP推流已启动'})
        
    except Exception as e:
        logger.error(f'启动RTSP失败: {e}')
        emit('rtsp_status', {'status': 'error', 'message': f'启动失败: {str(e)}'})

@socketio.on('stop_rtsp')
def handle_stop_rtsp(data=None):
    global rtsp_running
    logger.info(f'收到stop_rtsp事件，客户端ID: {request.sid}, 数据: {data}')
    
    try:
        rtsp_running = False
        logger.info('RTSP推流已停止')
        emit('rtsp_status', {'status': 'stopped', 'message': 'RTSP推流已停止'})
        
    except Exception as e:
        logger.error(f'停止RTSP失败: {e}')
        emit('rtsp_status', {'status': 'error', 'message': f'停止失败: {str(e)}'})

@socketio.on('connect')
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'})