38 lines
1.9 KiB
Python
38 lines
1.9 KiB
Python
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"""
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项目向量化任务模型
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"""
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from sqlalchemy import BigInteger, Column, DateTime, Index, Integer, String, Text
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from sqlalchemy.sql import func
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from app.core.database import Base
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class ProjectVectorizationTask(Base):
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"""项目向量化后台任务表"""
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__tablename__ = "project_vectorization_task"
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id = Column(BigInteger, primary_key=True, autoincrement=True, comment="任务ID")
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task_id = Column(String(64), nullable=False, unique=True, index=True, comment="任务唯一标识")
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project_id = Column(BigInteger, nullable=False, index=True, comment="项目ID")
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user_id = Column(BigInteger, nullable=False, index=True, comment="触发用户ID")
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task_type = Column(String(32), nullable=False, comment="任务类型：incremental/full")
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status = Column(String(32), nullable=False, default="pending", index=True, comment="任务状态：pending/running/success/failed")
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total = Column(Integer, nullable=False, default=0, comment="文件总数")
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processed = Column(Integer, nullable=False, default=0, comment="处理成功数")
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skipped = Column(Integer, nullable=False, default=0, comment="跳过数")
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failed = Column(Integer, nullable=False, default=0, comment="失败数")
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error_message = Column(Text, comment="错误信息")
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started_at = Column(DateTime, comment="开始时间")
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finished_at = Column(DateTime, comment="完成时间")
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created_at = Column(DateTime, server_default=func.now(), comment="创建时间")
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updated_at = Column(DateTime, server_default=func.now(), onupdate=func.now(), comment="更新时间")
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__table_args__ = (
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Index("idx_vector_task_project_status", "project_id", "status"),
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Index("idx_vector_task_created_at", "created_at"),
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)
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def __repr__(self):
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return f"<ProjectVectorizationTask(task_id='{self.task_id}', project_id={self.project_id}, status='{self.status}')>"
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