"""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"
    )