from __future__ import annotations

from datetime import datetime, timezone
from uuid import uuid4

from sqlalchemy import JSON, DateTime, Integer, String
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column


def _utcnow() -> datetime:
    return datetime.now(timezone.utc)


class AWBase(DeclarativeBase):
    pass


class AWSalesForecast(AWBase):
    """Persisted AW sales forecast runs."""

    __tablename__ = "aw_sales_forecasts"

    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid4()))
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow, index=True)
    horizon_days: Mapped[int] = mapped_column(Integer)
    point_count: Mapped[int] = mapped_column(Integer)
    trigger_source: Mapped[str] = mapped_column(String(64), index=True)
    trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True)
    span_id: Mapped[str | None] = mapped_column(String(16), nullable=True)
    payload: Mapped[list[dict]] = mapped_column(JSON, default=list)


class AWRepScore(AWBase):
    """Persisted AW sales rep performance scoring runs."""

    __tablename__ = "aw_rep_scores"

    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid4()))
    computed_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow, index=True)
    rep_count: Mapped[int] = mapped_column(Integer)
    trigger_source: Mapped[str] = mapped_column(String(64), index=True)
    trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True)
    span_id: Mapped[str | None] = mapped_column(String(16), nullable=True)
    payload: Mapped[list[dict]] = mapped_column(JSON, default=list)


class AWProductDemand(AWBase):
    """Persisted AW product demand scoring runs."""

    __tablename__ = "aw_product_demand"

    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid4()))
    computed_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow, index=True)
    product_count: Mapped[int] = mapped_column(Integer)
    top_n: Mapped[int] = mapped_column(Integer)
    trigger_source: Mapped[str] = mapped_column(String(64), index=True)
    trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True)
    span_id: Mapped[str | None] = mapped_column(String(16), nullable=True)
    payload: Mapped[list[dict]] = mapped_column(JSON, default=list)


class AWAnomalyRun(AWBase):
    """Persisted AW revenue anomaly detection runs."""

    __tablename__ = "aw_anomaly_runs"

    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid4()))
    detected_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), default=_utcnow, index=True)
    anomaly_count: Mapped[int] = mapped_column(Integer)
    series_days: Mapped[int] = mapped_column(Integer)
    window_days: Mapped[int] = mapped_column(Integer)
    threshold_sigma: Mapped[float] = mapped_column(default=2.0)
    trigger_source: Mapped[str] = mapped_column(String(64), index=True)
    trace_id: Mapped[str | None] = mapped_column(String(32), nullable=True, index=True)
    span_id: Mapped[str | None] = mapped_column(String(16), nullable=True)
    # Full annotated series (date, revenue, rolling_mean, lower_band, upper_band, is_anomaly, z_score)
    payload: Mapped[list[dict]] = mapped_column(JSON, default=list)