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33 lines
1.4 KiB
33 lines
1.4 KiB
from sqlalchemy.orm import Mapped, mapped_column
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from sqlalchemy import String, Boolean
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from sqlalchemy import TIMESTAMP, Text
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from app.models import Base
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class SystemLog(Base):
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__tablename__ = "system_logs"
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id: Mapped[int] = mapped_column(primary_key=True)
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log_id: Mapped[str] = mapped_column(String(32), unique=True)
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fault_id: Mapped[str | None] = mapped_column(String(32), nullable=True)
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cluster_id: Mapped[int | None] = mapped_column(nullable=True)
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timestamp: Mapped[str] = mapped_column(TIMESTAMP(timezone=True))
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host: Mapped[str] = mapped_column(String(100))
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service: Mapped[str] = mapped_column(String(50))
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log_level: Mapped[str] = mapped_column(String(10))
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message: Mapped[str] = mapped_column(Text)
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exception: Mapped[str | None] = mapped_column(Text, nullable=True)
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raw_log: Mapped[str | None] = mapped_column(Text, nullable=True)
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processed: Mapped[bool] = mapped_column(Boolean, default=False)
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created_at: Mapped[str] = mapped_column(TIMESTAMP(timezone=True))
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def to_dict(self) -> dict:
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"""将系统日志转换为可序列化字典。"""
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return {
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"log_id": self.log_id,
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"cluster_id": self.cluster_id,
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"timestamp": self.timestamp.isoformat() if self.timestamp else None,
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"service": self.service,
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"log_level": self.log_level,
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"message": self.message,
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"processed": self.processed,
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} |