from datetime import datetime

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

from app.database import Base


class PaperTrade(Base):
    """A simulated ('taken') trade for paper trading.

    Captured from a setup at the moment the user marks it taken: direction,
    entry, size, stop and target. Open trades are marked-to-market against the
    latest close; closing records the exit price and time.
    """

    __tablename__ = "paper_trades"

    id: Mapped[int] = mapped_column(primary_key=True)
    user_id: Mapped[int] = mapped_column(
        ForeignKey("users.id", ondelete="CASCADE"), nullable=False
    )
    ticker_id: Mapped[int] = mapped_column(
        ForeignKey("tickers.id", ondelete="CASCADE"), nullable=False
    )
    direction: Mapped[str] = mapped_column(String(10), nullable=False)
    entry_price: Mapped[float] = mapped_column(Float, nullable=False)
    shares: Mapped[float] = mapped_column(Float, nullable=False)
    stop_loss: Mapped[float] = mapped_column(Float, nullable=False)
    target: Mapped[float] = mapped_column(Float, nullable=False)
    status: Mapped[str] = mapped_column(String(10), nullable=False, default="open")
    opened_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), default=datetime.utcnow, nullable=False
    )
    close_price: Mapped[float | None] = mapped_column(Float, nullable=True)
    closed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
    # How the trade was closed: "trailing" | "stop" | "target" | "manual".
    close_reason: Mapped[str | None] = mapped_column(String(10), nullable=True)