02d7cf8f62
Main Agent 数字员工工厂基础设施： - 新增 Goal 和 Task SQLAlchemy 数据模型 - Agent 模型新增 agent_type / input_schema / output_schema - Execution 模型新增 goal_id 关联 - 新增 Goal/Task CRUD 服务层（含依赖检查、任务树、进度计算） - 新增 /api/v1/goals (9端点) + /api/v1/tasks (8端点) - 数据库迁移 013_add_goals_tasks Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
45 lines
1.9 KiB
Python
45 lines
1.9 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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goal_id = Column(CHAR(36), ForeignKey("goals.id"), nullable=True, comment="关联目标ID")
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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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