diff --git a/ljwx-bigscreen/bigscreen/bigScreen/health_analysis_api.py b/ljwx-bigscreen/bigscreen/bigScreen/health_analysis_api.py new file mode 100644 index 0000000..e25a32d --- /dev/null +++ b/ljwx-bigscreen/bigscreen/bigScreen/health_analysis_api.py @@ -0,0 +1,109 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +""" +健康分析API V2.0 +提供增强的健康分析接口 +""" + +import logging +from flask import Blueprint, request, jsonify +from datetime import datetime +from typing import Dict, Any + +logger = logging.getLogger(__name__) + +# 创建蓝图 +health_analysis_api = Blueprint('health_analysis_api', __name__, url_prefix='/api/health/v2') + + +@health_analysis_api.route('/analysis/comprehensive', methods=['GET']) +def get_comprehensive_analysis(): + """获取综合健康分析""" + try: + # 获取查询参数 + org_id = request.args.get('orgId') or request.args.get('org_id') + user_id = request.args.get('userId') or request.args.get('user_id') + customer_id = request.args.get('customerId') or request.args.get('customer_id') + start_date = request.args.get('startDate') or request.args.get('start_date') + end_date = request.args.get('endDate') or request.args.get('end_date') + + logger.info(f"综合健康分析查询: org_id={org_id}, user_id={user_id}, customer_id={customer_id}") + + # TODO: 实现具体的分析逻辑 + return jsonify({ + 'success': True, + 'message': 'Health Analysis API V2.0 - 功能开发中', + 'data': { + 'org_id': org_id, + 'user_id': user_id, + 'customer_id': customer_id, + 'start_date': start_date, + 'end_date': end_date, + 'analysis_result': { + 'status': 'pending', + 'message': 'V2分析功能正在开发中,请使用V1接口' + } + }, + 'timestamp': datetime.now().isoformat() + }), 200 + + except Exception as e: + logger.error(f"综合健康分析失败: {e}") + return jsonify({ + 'success': False, + 'error': str(e), + 'timestamp': datetime.now().isoformat() + }), 500 + + +@health_analysis_api.route('/trends/advanced', methods=['GET']) +def get_advanced_trends(): + """获取高级趋势分析""" + try: + org_id = request.args.get('orgId') or request.args.get('org_id') + customer_id = request.args.get('customerId') or request.args.get('customer_id') + + logger.info(f"高级趋势分析查询: org_id={org_id}, customer_id={customer_id}") + + return jsonify({ + 'success': True, + 'message': 'Advanced Trends API - 功能开发中', + 'data': { + 'org_id': org_id, + 'customer_id': customer_id, + 'trends': [] + }, + 'timestamp': datetime.now().isoformat() + }), 200 + + except Exception as e: + logger.error(f"高级趋势分析失败: {e}") + return jsonify({ + 'success': False, + 'error': str(e), + 'timestamp': datetime.now().isoformat() + }), 500 + + +@health_analysis_api.route('/status', methods=['GET']) +def get_api_status(): + """获取API状态""" + return jsonify({ + 'success': True, + 'message': 'Health Analysis API V2.0 运行中', + 'version': '2.0.0', + 'status': 'development', + 'timestamp': datetime.now().isoformat() + }), 200 + + +# 健康检查端点 +@health_analysis_api.route('/health', methods=['GET']) +def health_check(): + """健康检查""" + return jsonify({ + 'status': 'healthy', + 'service': 'health_analysis_api_v2', + 'timestamp': datetime.now().isoformat() + }), 200 diff --git a/ljwx-bigscreen/bigscreen/bigScreen/health_prediction_engine.py b/ljwx-bigscreen/bigscreen/bigScreen/health_prediction_engine.py new file mode 100644 index 0000000..35f1c78 --- /dev/null +++ b/ljwx-bigscreen/bigscreen/bigScreen/health_prediction_engine.py @@ -0,0 +1,98 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +""" +健康预测引擎 +提供健康趋势预测功能 +""" + +import logging +from datetime import datetime, timedelta +from typing import Dict, List, Optional, Any + +logger = logging.getLogger(__name__) + + +class RealTimeHealthPredictionEngine: + """实时健康预测引擎""" + + def __init__(self): + self.logger = logger + logger.info("✅ 健康预测引擎初始化完成") + + def predict_health_trends(self, user_id: int, days: int = 7) -> Dict: + """ + 预测用户健康趋势 + + Args: + user_id: 用户ID + days: 预测天数 + + Returns: + Dict: 预测结果 + """ + try: + # TODO: 实现实际的预测逻辑 + logger.info(f"预测用户 {user_id} 未来 {days} 天的健康趋势") + + return { + 'success': True, + 'user_id': user_id, + 'prediction_days': days, + 'predictions': [], + 'confidence': 0.0, + 'message': '健康预测功能正在开发中', + 'timestamp': datetime.now().isoformat() + } + + except Exception as e: + logger.error(f"健康趋势预测失败: {e}") + return { + 'success': False, + 'error': str(e), + 'timestamp': datetime.now().isoformat() + } + + def predict_health_risks(self, user_id: int) -> Dict: + """ + 预测用户健康风险 + + Args: + user_id: 用户ID + + Returns: + Dict: 风险预测结果 + """ + try: + logger.info(f"预测用户 {user_id} 的健康风险") + + return { + 'success': True, + 'user_id': user_id, + 'risks': [], + 'risk_level': 'low', + 'message': '健康风险预测功能正在开发中', + 'timestamp': datetime.now().isoformat() + } + + except Exception as e: + logger.error(f"健康风险预测失败: {e}") + return { + 'success': False, + 'error': str(e), + 'timestamp': datetime.now().isoformat() + } + + def get_prediction_status(self) -> Dict: + """获取预测引擎状态""" + return { + 'status': 'active', + 'features': ['trend_prediction', 'risk_assessment'], + 'version': '1.0.0', + 'development_status': 'in_progress', + 'timestamp': datetime.now().isoformat() + } + + +# 全局实例 +realtime_prediction_engine = RealTimeHealthPredictionEngine() diff --git a/ljwx-bigscreen/bigscreen/bigScreen/health_query_base.py b/ljwx-bigscreen/bigscreen/bigScreen/health_query_base.py new file mode 100644 index 0000000..8cd8b87 --- /dev/null +++ b/ljwx-bigscreen/bigscreen/bigScreen/health_query_base.py @@ -0,0 +1,223 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- + +""" +健康查询基础模块 +提供统一的查询参数解析、验证和日志记录功能 +""" + +import logging +from datetime import datetime, timedelta +from typing import Dict, Optional, Tuple, Any + +logger = logging.getLogger(__name__) + + +class HealthQueryBase: + """健康查询基础类""" + + def __init__(self): + self.logger = logger + + def parse_query_params(self, **kwargs) -> Dict[str, Any]: + """ + 解析和标准化查询参数 + + Args: + user_id: 用户ID + org_id: 组织ID + customer_id: 租户ID + startDate/start_date: 开始日期 + endDate/end_date: 结束日期 + days: 查询天数(默认7天) + + Returns: + Dict: 标准化的查询参数 + """ + # 提取ID参数 + user_id = kwargs.get('user_id') or kwargs.get('userId') + org_id = kwargs.get('org_id') or kwargs.get('orgId') + customer_id = kwargs.get('customer_id') or kwargs.get('customerId') + + # 提取日期参数 + start_date = kwargs.get('start_date') or kwargs.get('startDate') + end_date = kwargs.get('end_date') or kwargs.get('endDate') + days = kwargs.get('days', 7) + + # 如果没有指定日期,使用days参数计算 + if not start_date or not end_date: + end_date = datetime.now() + start_date = end_date - timedelta(days=int(days)) + else: + # 转换字符串日期为datetime对象 + if isinstance(start_date, str): + start_date = datetime.strptime(start_date, '%Y-%m-%d') + if isinstance(end_date, str): + end_date = datetime.strptime(end_date, '%Y-%m-%d') + + # 其他参数 + include_factors = kwargs.get('includeFactors', kwargs.get('include_factors', False)) + include_trends = kwargs.get('includeTrends', kwargs.get('include_trends', False)) + + # 确定查询层级和标识符 + query_level = None + identifier = None + + if user_id: + query_level = 'user' + identifier = user_id + elif org_id: + query_level = 'org' + identifier = org_id + elif customer_id: + query_level = 'customer' + identifier = customer_id + + return { + 'user_id': user_id, + 'org_id': org_id, + 'customer_id': customer_id, + 'query_level': query_level, + 'identifier': identifier, + 'start_date': start_date, + 'end_date': end_date, + 'days': days, + 'include_factors': include_factors, + 'include_trends': include_trends + } + + def validate_query_params(self, query_params: Dict) -> Tuple[bool, Optional[str]]: + """ + 验证查询参数 + + Args: + query_params: 查询参数字典 + + Returns: + Tuple[bool, Optional[str]]: (是否有效, 错误消息) + """ + # 至少需要一个ID参数 + user_id = query_params.get('user_id') + org_id = query_params.get('org_id') + customer_id = query_params.get('customer_id') + + if not any([user_id, org_id, customer_id]): + return False, '缺少必需参数: user_id, org_id 或 customer_id 至少需要一个' + + # 验证日期参数 + start_date = query_params.get('start_date') + end_date = query_params.get('end_date') + + if start_date and end_date: + if start_date > end_date: + return False, '开始日期不能晚于结束日期' + + # 检查日期范围(不超过90天) + date_diff = (end_date - start_date).days + if date_diff > 90: + return False, '日期范围不能超过90天' + + return True, None + + def log_query_info(self, query_type: str, query_params: Dict, result_summary: Optional[Dict] = None): + """ + 记录查询信息 + + Args: + query_type: 查询类型(如 'score', 'baseline', 'recommendation') + query_params: 查询参数 + result_summary: 结果摘要(可选) + """ + log_msg = f"[{query_type}] 查询参数: " + + # 构建日志消息 + if query_params.get('user_id'): + log_msg += f"user_id={query_params['user_id']}, " + if query_params.get('org_id'): + log_msg += f"org_id={query_params['org_id']}, " + if query_params.get('customer_id'): + log_msg += f"customer_id={query_params['customer_id']}, " + + if query_params.get('start_date'): + log_msg += f"start_date={query_params['start_date'].strftime('%Y-%m-%d')}, " + if query_params.get('end_date'): + log_msg += f"end_date={query_params['end_date'].strftime('%Y-%m-%d')}" + + # 添加结果摘要 + if result_summary: + log_msg += f" | 结果: {result_summary}" + + self.logger.info(log_msg) + + def build_cache_key(self, query_type: str, query_params: Dict) -> str: + """ + 构建缓存键 + + Args: + query_type: 查询类型 + query_params: 查询参数 + + Returns: + str: 缓存键 + """ + key_parts = [f"health:{query_type}"] + + if query_params.get('user_id'): + key_parts.append(f"user:{query_params['user_id']}") + elif query_params.get('org_id'): + key_parts.append(f"org:{query_params['org_id']}") + elif query_params.get('customer_id'): + key_parts.append(f"customer:{query_params['customer_id']}") + + if query_params.get('start_date'): + key_parts.append(query_params['start_date'].strftime('%Y%m%d')) + if query_params.get('end_date'): + key_parts.append(query_params['end_date'].strftime('%Y%m%d')) + + return ":".join(key_parts) + + def build_database_conditions(self, query_params: Dict) -> Tuple[list, Dict]: + """ + 构建数据库查询条件 + + Args: + query_params: 查询参数 + + Returns: + Tuple[list, Dict]: (条件列表, 参数字典) + """ + conditions = [] + params = {} + + # 根据查询层级构建条件 + query_level = query_params.get('query_level') + identifier = query_params.get('identifier') + + if query_level and identifier: + if query_level == 'user': + conditions.append('user_id = :identifier') + elif query_level == 'org': + conditions.append('org_id = :identifier') + elif query_level == 'customer': + conditions.append('customer_id = :identifier') + + params['identifier'] = identifier + + # 日期条件 + start_date = query_params.get('start_date') + end_date = query_params.get('end_date') + + if start_date and end_date: + if start_date == end_date: + conditions.append('score_date = :score_date') + params['score_date'] = start_date + else: + conditions.append('score_date BETWEEN :start_date AND :end_date') + params['start_date'] = start_date + params['end_date'] = end_date + + return conditions, params + + +# 全局单例实例 +health_query_base = HealthQueryBase() diff --git a/ljwx-bigscreen/bigscreen/bigScreen/models.py b/ljwx-bigscreen/bigscreen/bigScreen/models.py index 53b48ae..7e9d0ff 100644 --- a/ljwx-bigscreen/bigscreen/bigScreen/models.py +++ b/ljwx-bigscreen/bigscreen/bigScreen/models.py @@ -213,7 +213,7 @@ class DeviceInfoHistory(db.Model): system_software_version = db.Column(db.String(255), nullable=True, comment='系统版本') battery_level = db.Column(db.Integer, nullable=True, comment='电量') wearable_status = db.Column(db.Enum('WORN', 'NOT_WORN'), nullable=True, comment='佩戴状态') - charging_status = db.Column(db.Enum('NOT_CHARGING', 'CHARGING'), nullable=True, comment='充电状态') + charging_status = db.Column(db.Enum('NOT_CHARGING', 'CHARGING', 'NONE'), nullable=True, comment='充电状态') voltage = db.Column(db.Integer, nullable=True, comment='电压') ip_address = db.Column(db.String(255), nullable=True, comment='IP地址') network_access_mode = db.Column(db.String(10), nullable=True, comment='网络访问模式') @@ -250,7 +250,7 @@ class DeviceInfo(db.Model): model = db.Column(db.String(50), nullable=True) status = db.Column(db.Enum('INACTIVE', 'ACTIVE'), nullable=True) wearable_status = db.Column(db.Enum('WORN', 'NOT_WORN'), nullable=True) - charging_status = db.Column(db.Enum('NOT_CHARGING', 'CHARGING'), nullable=True) + charging_status = db.Column(db.Enum('NOT_CHARGING', 'CHARGING', 'NONE'), nullable=True) user_id = db.Column(db.BigInteger, nullable=True, comment='绑定用户ID') org_id = db.Column(db.BigInteger, nullable=True, comment='绑定组织ID') customer_id = db.Column(db.BigInteger, nullable=False, default=0, comment='租户ID,继承自当前绑定用户,0表示全局设备')