from datetime import datetime

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

from app.database import Base


class SignalContextSnapshot(Base):
    """Point-in-time context captured when a trade setup is generated.

    This stores the discretionary overlay inputs (scores, sentiment,
    fundamentals) as they looked at detection time, so future analysis can test
    whether human filtering improved or hurt the qualified-list strategy.
    """

    __tablename__ = "signal_context_snapshots"

    id: Mapped[int] = mapped_column(primary_key=True)
    trade_setup_id: Mapped[int] = mapped_column(
        ForeignKey("trade_setups.id", ondelete="CASCADE"), nullable=False, unique=True
    )
    ticker_id: Mapped[int] = mapped_column(
        ForeignKey("tickers.id", ondelete="CASCADE"), nullable=False
    )
    detected_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
    strategy_version: Mapped[str] = mapped_column(String(80), nullable=False)

    direction: Mapped[str] = mapped_column(String(10), nullable=False)
    entry_price: Mapped[float] = mapped_column(Float, nullable=False)
    stop_loss: Mapped[float] = mapped_column(Float, nullable=False)
    target: Mapped[float] = mapped_column(Float, nullable=False)
    rr_ratio: Mapped[float] = mapped_column(Float, nullable=False)
    confidence_score: Mapped[float | None] = mapped_column(Float, nullable=True)
    recommended_action: Mapped[str | None] = mapped_column(String(20), nullable=True)
    risk_level: Mapped[str | None] = mapped_column(String(10), nullable=True)
    momentum_percentile: Mapped[float | None] = mapped_column(Float, nullable=True)

    score_context_json: Mapped[str] = mapped_column(Text, nullable=False, default="{}")
    sentiment_context_json: Mapped[str] = mapped_column(Text, nullable=False, default="{}")
    fundamental_context_json: Mapped[str] = mapped_column(Text, nullable=False, default="{}")

    trade_setup = relationship("TradeSetup")
    ticker = relationship("Ticker")