7ee80c74b2
- 新增通知系统 (notifications 表、服务、API) - 新增飞书定时任务结果推送 (webhook + 应用消息) - 新增飞书应用消息发送服务 (feishu_app_service) - 新增飞书 WebSocket 长连接事件监听 (苹果应用) - 新增飞书账号绑定/解绑 API - 新增橙子飞书机器人 (独立 WS 连接，固定路由到橙子助手 Agent) - 执行记录添加 schedule_id，用户添加飞书绑定字段 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
44 lines
1.8 KiB
Python
44 lines
1.8 KiB
Python
"""
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执行记录模型
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"""
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from sqlalchemy import Column, String, Text, Integer, DateTime, JSON, ForeignKey, func
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from sqlalchemy.dialects.mysql import CHAR
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from sqlalchemy.orm import relationship
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from app.core.database import Base
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import uuid
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class Execution(Base):
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"""执行记录表"""
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__tablename__ = "executions"
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id = Column(CHAR(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="执行ID")
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agent_id = Column(CHAR(36), ForeignKey("agents.id"), nullable=True, comment="智能体ID")
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workflow_id = Column(CHAR(36), ForeignKey("workflows.id"), nullable=True, comment="工作流ID")
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input_data = Column(JSON, comment="输入数据")
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output_data = Column(JSON, comment="输出数据")
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status = Column(
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String(32),
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nullable=False,
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comment="状态: pending/running/completed/failed/awaiting_approval",
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)
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error_message = Column(Text, comment="错误信息")
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execution_time = Column(Integer, comment="执行时间(ms)")
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task_id = Column(String(100), comment="Celery任务ID")
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schedule_id = Column(
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CHAR(36), ForeignKey("agent_schedules.id"), nullable=True, comment="定时任务ID"
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)
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parent_execution_id = Column(
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CHAR(36), ForeignKey("executions.id"), nullable=True, comment="父执行ID"
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)
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depth = Column(Integer, default=0, nullable=False, comment="执行深度（根为0）")
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pause_state = Column(JSON, nullable=True, comment="挂起快照（审批节点 HITL，恢复时消费）")
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created_at = Column(DateTime, default=func.now(), comment="创建时间")
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# 关系
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agent = relationship("Agent", backref="executions")
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workflow = relationship("Workflow", backref="executions")
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def __repr__(self):
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return f"<Execution(id={self.id}, status={self.status})>"
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