#!/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, detection_type=None, work_area=None, api_url=None, api_key=None, output_level=None): """调用API分析玩手机行为监测视频""" if not input_path and not url: raise ValueError("必须提供本地文件路径(--input)或网络URL(--url)") # 设置检测类型参数 if detection_type: ConstantEnum.DEFAULT__DETECTION_TYPE = detection_type try: input_path = input_path or url return skill.get_output_analysis(input_path) 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", detection_type="video", work_area="other"): """格式化输出结果""" detection_type_map = { "video": "视频流检测", "image": "图片静态检测" } work_area_map = { "open-office": "开放办公区", "cubicle": "独立工位", "meeting-room": "会议室", "other": "其他区域" } detection_type_cn = detection_type_map.get(detection_type, detection_type) work_area_cn = work_area_map.get(work_area, work_area) 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('phoneUsageResponse', {}), ensure_ascii=False, indent=2) else: return "⚠️ 暂无分析结果" return f""" 📊 职畅卫士办公行为分析结构化结果 {result_json} """, result_id elif output_level == "basic": # 精简输出 data = result.get('data', {}) diagnosis = data.get('diagnosis', {}) return f""" 📊 职畅卫士玩手机监测报告 {'=' * 40} 检测类型: {detection_type_cn} 监测区域: {work_area_cn} 整体合规状况: {diagnosis.get('overall_compliance', '未知')} 主要问题: {diagnosis.get('total_phone_usage_count', 0)} 次玩手机行为，累计 {diagnosis.get('total_phone_usage_duration', 0)} 秒 效率提示: {data.get('efficiency_warnings', ['无特殊警示'])[0] if data.get('efficiency_warnings') else '无特殊警示'} """ elif output_level == "standard": # 标准输出 data = result.get('data', {}) diagnosis = data.get('diagnosis', {}) person_detection = data.get('person_detection', {}) behavior_analysis = "\n".join([f" {k}: {v}" for k, v in diagnosis.get('phone_usage_behavior', {}).items()]) duration_analysis = "\n".join([f" {k}: {v} 秒" for k, v in diagnosis.get('usage_duration', {}).items()]) area_analysis = "\n".join([f" {k}: {v}" for k, v in diagnosis.get('area_compliance', {}).items()]) warnings = "\n".join([f" ⚠️ {item}" for item in data.get('efficiency_warnings', [])]) suggestions = "\n".join([f" 💡 {item}" for item in data.get('improvement_suggestions', [])]) return f""" 📊 职畅卫士玩手机行为监测报告 {'=' * 50} ⏰ 分析时间: {data.get('analysis_time', '未知')} 📹 检测类型: {detection_type_cn} 🏢 监测区域: {work_area_cn} 🎯 人员检测: {person_detection.get('status', '未知')} (置信度: {person_detection.get('quality_score', 0)}分) 🔍 监测结果: 整体合规评分: {diagnosis.get('compliance_score', '未知')} 整体状况: {diagnosis.get('overall_compliance', '未知')} 检测到玩手机次数: {diagnosis.get('total_phone_usage_count', 0)} 次 累计玩手机时长: {diagnosis.get('total_phone_usage_duration', 0)} 秒 玩手机行为识别: {behavior_analysis} 时长分段统计: {duration_analysis} 各区域合规评估: {area_analysis} ⚠️ 效率风险预警: {warnings} 💡 工作效率提升建议: {suggestions} {'=' * 50} > 注：本报告仅供企业内部管理参考，请遵守相关劳动法律法规，保护员工合法权益。 """ else: # 完整输出（JSON格式） return json.dumps(result, ensure_ascii=False, indent=2) def main(): parser = argparse.ArgumentParser(description="职场玩手机行为监测分析工具") 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URL地址") parser.add_argument("--detection-type", choices=["video", "image"], default=ConstantEnum.DEFAULT__DETECTION_TYPE, help="检测类型：video(视频流检测), image(图片静态检测)，默认 video") parser.add_argument("--work-area", choices=["open-office", "cubicle", "meeting-room", "other"], default=ConstantEnum.DEFAULT__WORK_AREA, help="工作区域类型：open-office(开放办公区), cubicle(独立工位), meeting-room(会议室), other(其他)，默认 other") parser.add_argument("--open-id", required=True, help="当前用户/企业的OpenID/UserId/用户名/手机号") parser.add_argument("--list", action='store_true', help="显示玩手机行为监测分析列表清单") 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("🔍 正在分析办公行为，请稍候...") output_content = analyze_video( input_path=args.input, url=args.url, detection_type=args.detection_type, work_area=args.work_area, 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"❌ 玩手机行为监测分析失败: {str(e)}") exit(1) if __name__ == "__main__": main()