#!/usr/bin/env python3 import sys import os current_dir = os.path.dirname(os.path.abspath(__file__)) parent_dir = os.path.dirname(os.path.dirname(os.path.dirname(current_dir))) sys.path.insert(0, parent_dir) import argparse import json import mimetypes import traceback from datetime import datetime import requests import sys import os from .config import * from .skill import skill from skills.smyx_common.scripts.util import RequestUtil # 从config导入常量 SUPPORTED_FORMATS = ConstantEnum.SUPPORTED_FORMATS MAX_FILE_SIZE_MB = ConstantEnum.MAX_FILE_SIZE_MB def validate_file(file_path): """验证输入文件是否合法""" if not os.path.exists(file_path): raise FileNotFoundError(f"文件不存在: {file_path}") if not os.access(file_path, os.R_OK): raise PermissionError(f"文件没有读权限: {file_path}") ext = os.path.splitext(file_path)[1].lower()[1:] if ext not in SUPPORTED_FORMATS: raise ValueError(f"不支持的文件格式，支持的格式: {', '.join(SUPPORTED_FORMATS)}") file_size_mb = os.path.getsize(file_path) / (1024 * 1024) if file_size_mb > MAX_FILE_SIZE_MB: raise ValueError(f"文件过大，最大支持 {MAX_FILE_SIZE_MB}MB，当前文件大小: {file_size_mb:.1f}MB") return True def analyze_media(input_path=None, url=None, media_type=None, blood_pressure=None, blood_sugar=None, blood_lipid=None, api_url=None, api_key=None, output_level=None): """调用API进行脑卒中风险筛查""" if not input_path and not url: raise ValueError("必须提供本地媒体路径(--input)或网络媒体URL(--url)") # 设置参数 if media_type: ConstantEnum.DEFAULT_MEDIA_TYPE = media_type try: input_path = input_path or url # 携带生理指标参数 params = {} if blood_pressure: params["blood_pressure"] = blood_pressure if blood_sugar: params["blood_sugar"] = blood_sugar if blood_lipid: params["blood_lipid"] = blood_lipid return skill.get_output_analysis(input_path, params) except requests.exceptions.RequestException as e: traceback.print_stack() raise Exception(f"API请求失败: {str(e)}") def show_analyze_list(open_id, start_time=None, end_time=None): # if not open_id: # raise ValueError("必须提供本用户的OpenId/UserId") try: output_content = skill.get_output_analysis_list() return output_content except requests.exceptions.RequestException as e: traceback.print_stack() raise Exception(f"API请求失败: {str(e)}") def get_analysis_export_url(request_id=None): """调用API分析视频""" if not request_id: return "" return ApiEnum.DETAIL_EXPORT_URL + request_id def format_result(result, output_level="standard", media_type="video", blood_pressure=None, blood_sugar=None, blood_lipid=None): """格式化输出结果""" risk_level_map = { "low": "低风险", "medium": "中风险", "high": "高风险", "very_high": "极高风险" } if output_level == "json": result_id = None if result is not None: result_json = result result_id = result_json.get('id', {}) result_json = json.dumps(result_json.get('strokeRiskResponse', {}), ensure_ascii=False, indent=2) else: return "⚠️ 暂无分析结果" return f""" 📊 脑卒中风险筛查分析结构化结果 {result_json} """, result_id elif output_level == "basic": # 精简输出 data = result.get('data', {}) screening = data.get('screening', {}) risk_level = screening.get('risk_level', '未知') risk_level_cn = risk_level_map.get(risk_level, risk_level) return f""" 📊 脑卒中风险筛查报告 {'=' * 40} 风险等级: {risk_level_cn} 风险评分: {screening.get('risk_score', '未知')} 主要高危因素: {', '.join(screening.get('high_risk_factors', ['未发现明确高危因素']))} 预警提示: {data.get('warning_message', ['无特殊警示'])[0] if data.get('warning_message') else '无特殊警示'} """ elif output_level == "standard": # 标准输出 data = result.get('data', {}) screening = data.get('screening', {}) # 面部特征 face_features = "\n".join([f" {k}: {v}" for k, v in screening.get('face_features', {}).items()]) # 高危因素 high_risk_factors = "\n".join([f" ⚠️ {item}" for item in screening.get('high_risk_factors', [])]) warnings = "\n".join([f" ⚠️ {item}" for item in data.get('health_warnings', [])]) suggestions = "\n".join([f" 💡 {item}" for item in data.get('lifestyle_suggestions', [])]) medical_advices = "\n".join([f" 🏥 {item}" for item in data.get('medical_advices', [])]) risk_level = screening.get('risk_level', '未知') risk_level_cn = risk_level_map.get(risk_level, risk_level) # 生理指标信息 physiological_info = "" if blood_pressure or blood_sugar or blood_lipid: physiological_info = "\n📊 提供的生理指标:" if blood_pressure: physiological_info += f"\n 血压: {blood_pressure} mmHg" if blood_sugar: physiological_info += f"\n 空腹血糖: {blood_sugar} mmol/L" if blood_lipid: physiological_info += f"\n 总胆固醇: {blood_lipid} mmol/L" return f""" 📊 脑卒中风险筛查分析报告 {'=' * 50} ⏰ 筛查时间: {data.get('screening_time', '未知')} 📹 素材类型: {media_type} {physiological_info} 🎯 筛查结果: 风险评分: {screening.get('risk_score', '未知')} 风险等级: {risk_level_cn} 🔍 面部特征辨识: {face_features if face_features else ' 未提取到明显特征'} 🚨 高危因素识别: {high_risk_factors if high_risk_factors else ' ✅ 未发现明确高危因素'} ⚠️ 健康预警提示: {warnings if warnings else ' 无特殊预警'} 💡 生活方式干预建议: {suggestions if suggestions else ' 保持健康生活方式即可'} 🏥 就医指引: {medical_advices if medical_advices else ' 定期体检，关注血压血糖变化即可'} {'=' * 50} > 注：本报告仅供健康风险筛查参考，不能替代专业医学检查和医生诊断，发现高危请及时就医。 """ else: # 完整输出（JSON格式） return json.dumps(result, ensure_ascii=False, indent=2) def main(): parser = argparse.ArgumentParser(description="脑卒中风险筛查分析工具") parser.add_argument("--input", help="本地视频/图片文件路径") parser.add_argument("--url", help="网络视频/图片的URL地址") parser.add_argument("--media-type", choices=["video", "image"], default=ConstantEnum.DEFAULT__MEDIA_TYPE, help="媒体类型：video(视频), image(图片)，默认 video") parser.add_argument("--blood-pressure", help="血压值，格式：收缩压/舒张压，如 140/90") parser.add_argument("--blood-sugar", type=float, help="空腹血糖值 mmol/L") parser.add_argument("--blood-lipid", type=float, help="总胆固醇值 mmol/L") parser.add_argument("--open-id", required=True, help="当前用户的OpenID/UserId/用户名/手机号") parser.add_argument("--list", action='store_true', help="显示脑卒中风险筛查列表清单") parser.add_argument("--api-url", help="服务端API地址") parser.add_argument("--api-key", help="API访问密钥（必需）") parser.add_argument("--output", help="结果输出文件路径") parser.add_argument("--detail", choices=["basic", "standard", "json"], default=ConstantEnum.DEFAULT__OUTPUT_LEVEL, help="输出详细程度") parser.add_argument("--export-env-only", action='store_true', help="仅输出 export 命令设置环境变量，不执行分析") args = parser.parse_args() try: if args.open_id: # 设置 Python 进程内的环境变量 ConstantEnumBase.CURRENT__OPEN_ID = args.open_id # 检查必需参数 if args.list: open_id = ConstantEnum.CURRENT__OPEN_ID result = show_analyze_list(open_id) print(result) exit(0) # 检查必需参数 if not args.input and not args.url: print("❌ 错误: 必须提供 --input 或 --url 参数") exit(1) print("🔍 正在进行脑卒中风险筛查，请稍候...") output_content = analyze_media( input_path=args.input, url=args.url, media_type=args.media_type, blood_pressure=args.blood_pressure, blood_sugar=args.blood_sugar, blood_lipid=args.blood_lipid, api_url=args.api_url, api_key=args.api_key, output_level=args.detail ) print(output_content) # 保存到文件 if args.output: with open(args.output, "w", encoding="utf-8") as f: if args.detail == "full": json.dump(result, f, ensure_ascii=False, indent=2) else: f.write(output_content) print(f"✅ 结果已保存到: {args.output}") except Exception as e: traceback.print_stack() print(f"❌ 脑卒中风险筛查失败: {str(e)}") exit(1) if __name__ == "__main__": main()