Push the rest

backend/app/domain/aw/models.py

@@ -0,0 +1,77 @@
+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)