PayrollManagementSystem/backend/app/models/monitor.py

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"""监控数据独立保存,不关联工资或审计表;仅这些新表按七天保留。"""
from datetime import datetime
from sqlalchemy import JSON, DateTime, Float, Index, Integer, String, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column
from app.models.base import BIGINT_UNSIGNED, Base, mysql_table_args
class MonitorSnapshot(Base):
__tablename__ = "monitor_snapshots"
__table_args__ = mysql_table_args(
"分钟级运行监控快照",
UniqueConstraint("instance_id", "minute", name="uk_monitor_snapshots_instance_minute"),
Index("idx_monitor_snapshots_minute", "minute"),
)
id: Mapped[int] = mapped_column(
BIGINT_UNSIGNED, primary_key=True, autoincrement=True, comment="主键ID"
)
instance_id: Mapped[str] = mapped_column(String(32), comment="应用实例标识")
minute: Mapped[datetime] = mapped_column(DateTime, comment="采集分钟,北京时间")
sample_count: Mapped[int] = mapped_column(Integer, comment="实际采样次数")
resources: Mapped[dict] = mapped_column(JSON, comment="资源均值与采集范围,不含配置")
requests: Mapped[dict] = mapped_column(JSON, comment="请求汇总与固定耗时直方图")
class MonitorRequestMinute(Base):
__tablename__ = "monitor_request_minutes"
__table_args__ = mysql_table_args(
"接口分钟级运行统计",
UniqueConstraint(
"instance_id", "minute", "method", "route", name="uk_monitor_request_minutes_endpoint"
),
Index("idx_monitor_request_minutes_minute", "minute"),
)
id: Mapped[int] = mapped_column(
BIGINT_UNSIGNED, primary_key=True, autoincrement=True, comment="主键ID"
)
instance_id: Mapped[str] = mapped_column(String(32), comment="应用实例标识")
minute: Mapped[datetime] = mapped_column(DateTime, comment="请求分钟,北京时间")
method: Mapped[str] = mapped_column(String(8), comment="HTTP方法,固定集合")
route: Mapped[str] = mapped_column(String(256), comment="路由模板,不含原始地址及参数")
metrics: Mapped[dict] = mapped_column(JSON, comment="请求数、状态分类与固定直方图")
class MonitorEvent(Base):
__tablename__ = "monitor_events"
__table_args__ = mysql_table_args(
"脱敏诊断事件与异常恢复记录",
Index("idx_monitor_events_last_seen", "last_seen"),
Index("idx_monitor_events_request_id", "request_id"),
Index("idx_monitor_events_fingerprint", "fingerprint", "resolved_at"),
)
id: Mapped[int] = mapped_column(
BIGINT_UNSIGNED, primary_key=True, autoincrement=True, comment="主键ID"
)
instance_id: Mapped[str] = mapped_column(String(32), comment="应用实例标识")
kind: Mapped[str] = mapped_column(String(24), comment="事件类型,固定集合")
code: Mapped[str] = mapped_column(String(64), comment="稳定错误码")
component: Mapped[str] = mapped_column(String(128), comment="所属组件或日志模块")
level: Mapped[str] = mapped_column(String(16), comment="异常级别")
message: Mapped[str] = mapped_column(String(256), comment="通用说明,不保存内部异常文本")
fingerprint: Mapped[str | None] = mapped_column(String(64), comment="同类健康异常合并键")
request_id: Mapped[str | None] = mapped_column(String(32), comment="请求关联编号")
method: Mapped[str | None] = mapped_column(String(8), comment="HTTP方法")
route: Mapped[str | None] = mapped_column(String(256), comment="路由模板")
status_code: Mapped[int | None] = mapped_column(Integer, comment="HTTP状态码")
duration_ms: Mapped[float | None] = mapped_column(Float, comment="请求耗时,毫秒")
batch_no: Mapped[str | None] = mapped_column(String(32), comment="相关同步批次编号")
first_seen: Mapped[datetime] = mapped_column(DateTime, comment="首次发生时间")
last_seen: Mapped[datetime] = mapped_column(DateTime, comment="最近发生时间")
occurrences: Mapped[int] = mapped_column(Integer, comment="发生或持续采样次数")
resolved_at: Mapped[datetime | None] = mapped_column(
DateTime, comment="恢复时间,仅用于健康异常"
)