81 lines
3.6 KiB
Python
81 lines
3.6 KiB
Python
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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脚本执行日志数据模型
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记录脚本执行过程、结果和性能指标
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"""
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from sqlalchemy import Column, Integer, String, DateTime, Text, Boolean, ForeignKey, Float, JSON
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from sqlalchemy.sql import func
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from sqlalchemy.orm import relationship
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from .base import Base
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class VWEDScriptExecutionLog(Base):
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"""脚本执行日志模型"""
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__tablename__ = 'vwed_script_execution_log'
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id = Column(Integer, primary_key=True, autoincrement=True, comment='日志ID')
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script_id = Column(String(255), nullable=False, comment='脚本实例ID')
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file_id = Column(Integer, ForeignKey('vwed_script_file.id'), nullable=False, comment='脚本文件ID')
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execution_type = Column(String(50), nullable=False, comment='执行类型: start_service, stop_service, function_call, api_call')
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function_name = Column(String(255), comment='执行的函数名')
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input_params = Column(JSON, comment='输入参数')
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output_result = Column(JSON, comment='输出结果')
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status = Column(String(20), nullable=False, comment='执行状态: running, success, failed, timeout')
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error_message = Column(Text, comment='错误信息')
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error_traceback = Column(Text, comment='错误堆栈')
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start_time = Column(DateTime, nullable=False, default=func.now(), comment='开始时间')
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end_time = Column(DateTime, comment='结束时间')
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duration_ms = Column(Integer, comment='执行时长(毫秒)')
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memory_usage_mb = Column(Float, comment='内存使用(MB)')
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cpu_usage_percent = Column(Float, comment='CPU使用率(%)')
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log_level = Column(String(20), default='INFO', comment='日志级别: DEBUG, INFO, WARNING, ERROR')
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tags = Column(JSON, comment='标签信息')
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created_at = Column(DateTime, nullable=False, default=func.now(), comment='创建时间')
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# 关联关系
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script_file = relationship("VWEDScriptFile", backref="execution_logs")
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def __repr__(self):
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return f"<VWEDScriptExecutionLog(id={self.id}, script_id='{self.script_id}', status='{self.status}')>"
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def to_dict(self):
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"""转换为字典格式"""
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return {
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'id': self.id,
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'script_id': self.script_id,
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'file_id': self.file_id,
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'execution_type': self.execution_type,
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'function_name': self.function_name,
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'input_params': self.input_params,
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'output_result': self.output_result,
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'status': self.status,
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'error_message': self.error_message,
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'error_traceback': self.error_traceback,
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'start_time': self.start_time.isoformat() if self.start_time else None,
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'end_time': self.end_time.isoformat() if self.end_time else None,
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'duration_ms': self.duration_ms,
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'memory_usage_mb': self.memory_usage_mb,
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'cpu_usage_percent': self.cpu_usage_percent,
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'log_level': self.log_level,
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'tags': self.tags,
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'created_at': self.created_at.isoformat() if self.created_at else None,
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}
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def mark_completed(self, success=True, result=None, error=None):
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"""标记执行完成"""
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import datetime
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self.end_time = datetime.datetime.now()
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if self.start_time:
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delta = self.end_time - self.start_time
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self.duration_ms = int(delta.total_seconds() * 1000)
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if success:
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self.status = 'success'
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self.output_result = result
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else:
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self.status = 'failed'
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self.error_message = str(error) if error else '未知错误'
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