from __future__ import annotations
import uuid
from datetime import datetime, timezone
from sqlalchemy import DateTime, Float, Index, String
from sqlalchemy.orm import Mapped, mapped_column
from .base import Base


class PluginMetric(Base):
    __tablename__ = "plugin_metrics"

    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
    source_module: Mapped[str] = mapped_column(String(64), nullable=False)
    resource_name: Mapped[str] = mapped_column(String(255), nullable=False)
    metric_name: Mapped[str] = mapped_column(String(128), nullable=False)
    value: Mapped[float] = mapped_column(Float, nullable=False)
    recorded_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), nullable=False, default=lambda: datetime.now(timezone.utc)
    )

    # This time-series table grows by (sources × resources × sample cadence); every
    # host-detail / full-metrics / dashboard-widget read filters by
    # (source_module, resource_name) over a recorded_at range. Without these it's a
    # full sequential scan on every load.
    __table_args__ = (
        Index("ix_plugin_metrics_module_resource_recorded",
              "source_module", "resource_name", "recorded_at"),
        Index("ix_plugin_metrics_module_resource_metric_recorded",
              "source_module", "resource_name", "metric_name", "recorded_at"),
    )