BrunoGaoandClaude
8da47bc6e9
- 新增健康分析API接口：指标统计、评分计算、建议生成、趋势分析 - 完全重构健康图表界面：概览/详细双模式，专业数据可视化 - 新增健康分析组件：HealthMetricsOverview、ProfessionalChart、HealthInsights、ComparisonAnalysis - 优化健康搜索模块：增强参数处理和用户体验 - 后端新增HealthAnalyticsController和相关服务实现 - 增强告警规则引擎和全局异常处理 - 修复许可证管理和Jackson配置优化 - 更新gitignore排除性能测试大文件 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
#!/usr/bin/env python3
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"""
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上传最近几天包含运动数据的记录
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"""
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from upload_monthly_health_data import HealthDataUploader
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from datetime import datetime, timedelta
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import logging
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logging.basicConfig(level=logging.INFO)
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def main():
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uploader = HealthDataUploader()
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print("🏃 上传最近3天的运动数据")
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print("=" * 50)
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success_count = 0
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total_count = 0
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# 上传最近3天，每天4条记录（上午、下午各2条，确保有运动数据）
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for day_offset in range(3):
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for hour in [10, 14, 16, 18]: # 选择日间时段确保生成运动数据
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timestamp = datetime.now() - timedelta(days=day_offset, hours=datetime.now().hour-hour)
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health_data = uploader.generate_realistic_health_data(timestamp)
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total_count += 1
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if uploader.upload_health_data(health_data):
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success_count += 1
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print(f"✅ {timestamp.strftime('%m-%d %H:%M')} 上传成功")
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else:
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print(f"❌ {timestamp.strftime('%m-%d %H:%M')} 上传失败")
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print(f"\n📊 上传完成: {success_count}/{total_count} 成功")
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print("💡 现在可以查询运动数据了")
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if __name__ == "__main__":
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main() |