#!/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_video(input_path=None, url=None, alert_threshold=None, api_url=None, api_key=None, output_level=None): """调用API进行宠物禁区违规行为分析""" if not input_path and not url: raise ValueError("必须提供本地视频路径(--input)或网络视频URL(--url)") # 设置参数 if alert_threshold: ConstantEnum.DEFAULT_ALERT_THRESHOLD = alert_threshold try: input_path = input_path or url # 携带额外参数 params = {} if alert_threshold: params["alert_threshold"] = alert_threshold 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(open_id=open_id) 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", alert_threshold=0.6): """格式化输出结果""" behavior_map = { "intrusion": "禁止区域闯入", "climb_table": "攀爬餐桌", "rummage_trash": "翻垃圾桶" } 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('petAreaWarningResponse', {}), ensure_ascii=False, indent=2) else: return "⚠️ 暂无分析结果" return f""" 📊 宠物禁区预警分析结构化结果 {result_json} """, result_id elif output_level == "basic": # 精简输出 data = result.get('data', {}) detection = data.get('detection', {}) return f""" 📊 宠物禁区预警报告 {'=' * 40} 预警阈值: {alert_threshold} 违规行为次数: {detection.get('total_violation_count', 0)} 是否存在违规: {'⚠️ 是' if detection.get('has_violation') else '✅ 否'} """ elif output_level == "standard": # 标准输出 data = result.get('data', {}) detection = data.get('detection', {}) behavior_stats = "\n".join([ f" ⚠️ {behavior_map.get(b.get('behavior'), b.get('behavior'))}: {b.get('count', 0)} 次，最高置信度: {b.get('max_confidence', 0)}" for b in detection.get('behavior_stats', [])]) warnings = "\n".join([f" 🚨 {item}" for item in data.get('alert_messages', [])]) return f""" 📊 宠物禁区预警分析报告 {'=' * 50} ⏰ 监测时间: {data.get('detection_time', '未知')} 🚨 预警阈值: {alert_threshold} 🔍 识别结果: 违规行为总次数: {detection.get('total_violation_count', 0)} 是否存在违规闯入: {'⚠️ 是' if detection.get('has_violation') else '✅ 否'} 违规行为统计: {behavior_stats if behavior_stats else ' ✅ 未检测到违规行为'} 🚨 违规预警提示: {warnings if warnings else ' 无违规预警'} {'=' * 50} > 注：本技能仅作家庭宠物监控辅助，发现警报请立即确认现场情况。 """ else: # 完整输出（JSON格式） return json.dumps(result, ensure_ascii=False, indent=2) def main(): parser = argparse.ArgumentParser(description="宠物禁区预警工具") parser.add_argument("--input", help="本地视频文件路径") parser.add_argument("--url", help="网络视频的URL地址") parser.add_argument("--alert-threshold", type=float, default=ConstantEnum.DEFAULT__ALERT_THRESHOLD, help="异常行为预警阈值，高于该分值发出警报，默认 0.6") 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="显示宠物禁区预警列表清单") 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("🔍 正在进行宠物禁区违规行为分析，请稍候...") output_content = analyze_video( input_path=args.input, url=args.url, alert_threshold=args.alert_threshold, 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"❌ 宠物禁区违规行为分析失败: {str(e)}") exit(1) if __name__ == "__main__": main()