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aiagent/backend/app/models/execution_log.py

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2026-01-19 00:09:36 +08:00
"""
执行日志模型
"""
from sqlalchemy import Column, String, Text, Integer, DateTime, JSON, ForeignKey, func
from sqlalchemy.dialects.mysql import CHAR
from sqlalchemy.orm import relationship
from app.core.database import Base
import uuid
class ExecutionLog(Base):
"""执行日志表"""
__tablename__ = "execution_logs"
id = Column(CHAR(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="日志ID")
execution_id = Column(CHAR(36), ForeignKey("executions.id"), nullable=False, comment="执行ID")
node_id = Column(String(100), nullable=True, comment="节点ID")
node_type = Column(String(50), nullable=True, comment="节点类型")
level = Column(String(20), nullable=False, comment="日志级别: INFO/WARN/ERROR/DEBUG")
message = Column(Text, nullable=False, comment="日志消息")
data = Column(JSON, comment="附加数据")
timestamp = Column(DateTime, default=func.now(), comment="时间戳")
duration = Column(Integer, comment="执行耗时(ms)")
# 关系
execution = relationship("Execution", backref="logs")
def __repr__(self):
return f"<ExecutionLog(id={self.id}, execution_id={self.execution_id}, level={self.level})>"