from datetime import date as date_type
from datetime import datetime

from sqlalchemy import Date, DateTime, Float, String, Text
from sqlalchemy.orm import Mapped, mapped_column

from app.database import Base


class RegimeSnapshot(Base):
    """Daily snapshot of the AI/Tech regime-change index.

    One row per calendar date (unique). ``breakdown_json`` holds the full
    per-signal breakdown plus the raw inputs, so reads need no recomputation and
    the 7/30-day trend is just a query over ``total_score``. Decoupled from the
    rest of the platform: nothing reads this to gate or score trades.
    """

    __tablename__ = "regime_snapshots"

    id: Mapped[int] = mapped_column(primary_key=True)
    date: Mapped[date_type] = mapped_column(Date, nullable=False, unique=True, index=True)
    total_score: Mapped[float] = mapped_column(Float, nullable=False)
    band: Mapped[str] = mapped_column(String(20), nullable=False)
    breakdown_json: Mapped[str] = mapped_column(Text, nullable=False)
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)