e6261532f7
## 主要修复 - 修复Creo软件运行状态检测失败问题 - 添加完整的软件停止功能支持 - 改进多进程软件的进程管理逻辑 ## 技术改进 - 更新软件配置支持多进程名称检测 - 优化进程停止逻辑，增加超时配置 - 新增 stop_software WebSocket消息类型 - 完善错误处理和日志记录 ## 配置更新 - configs/software_config.yaml: 支持进程名称列表和停止超时 - 添加Revit 2017配置支持 ## 文档更新 - README.md: 更新软件配置说明和API列表 - frontend-api-docs.md: 添加停止软件API文档 - CHECKPOINT.md: 记录修复进展和解决方案 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
98 lines
3.2 KiB
Python
98 lines
3.2 KiB
Python
"""
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操作日志数据模型
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用于记录用户操作和系统操作日志
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"""
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from typing import Optional, Dict, Any
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from datetime import datetime
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from enum import Enum
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from pydantic import BaseModel
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class LogType(str, Enum):
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"""日志类型枚举"""
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SYSTEM_OPERATION = "system_operation" # 系统操作（启动软件、重启等）
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USER_OPERATION = "user_operation" # 用户自定义操作（前端发送的操作）
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class LogLevel(str, Enum):
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"""日志级别枚举"""
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INFO = "info"
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WARNING = "warning"
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ERROR = "error"
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DEBUG = "debug"
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class ActionType(str, Enum):
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"""行为类型枚举"""
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CREATE = "create" # 创建
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READ = "read" # 读取
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UPDATE = "update" # 更新
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DELETE = "delete" # 删除
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EXECUTE = "execute" # 执行
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EXPORT = "export" # 导出
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IMPORT = "import" # 导入
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class OperationStatus(str, Enum):
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"""操作状态枚举"""
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SUCCESS = "success" # 成功
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FAILED = "failed" # 失败
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PENDING = "pending" # 进行中
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class OperationLog(BaseModel):
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"""操作日志模型"""
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# 基础信息
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id: str # 日志唯一ID
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log_type: LogType # 日志类型
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level: LogLevel = LogLevel.INFO # 日志级别
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# 用户信息
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user_id: Optional[str] = None # 用户ID/用户名
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client_id: Optional[str] = None # 客户端连接ID
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session_id: Optional[str] = None # 会话ID
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# 操作信息
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operation: str # 具体操作名称
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operation_category: Optional[str] = None # 操作分类
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action_type: Optional[ActionType] = None # 行为类型
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target_object: Optional[str] = None # 操作目标对象
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details: str # 详细描述
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# 时间信息
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created_at: datetime # 操作时间
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duration: Optional[int] = None # 操作耗时（毫秒）
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# 环境信息
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ip_address: Optional[str] = None # 客户端IP地址
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user_agent: Optional[str] = None # 用户代理信息
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software_version: Optional[str] = None # 软件版本
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# 状态信息
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status: OperationStatus = OperationStatus.SUCCESS # 操作状态
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error_message: Optional[str] = None # 错误信息
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# 扩展数据
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extra_data: Optional[Dict[str, Any]] = None # 额外的结构化数据
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class Config:
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# 允许任意类型的字段（用于extra_data）
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arbitrary_types_allowed = True
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# JSON编码配置
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json_encoders = {
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datetime: lambda v: v.isoformat()
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}
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class LogFilter(BaseModel):
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"""日志过滤条件"""
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log_type: Optional[LogType] = None
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operation: Optional[str] = None
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user_id: Optional[str] = None
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client_id: Optional[str] = None
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level: Optional[LogLevel] = None
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start_time: Optional[datetime] = None
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end_time: Optional[datetime] = None
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limit: int = 100 # 查询限制数量
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offset: int = 0 # 查询偏移量 |