from datetime import datetime

from sqlalchemy import String, DateTime
from sqlalchemy.orm import Mapped, mapped_column, relationship

from app.database import Base


class Ticker(Base):
    __tablename__ = "tickers"

    id: Mapped[int] = mapped_column(primary_key=True)
    symbol: Mapped[str] = mapped_column(String(10), unique=True, nullable=False)
    # Company name (e.g. "Biogen Inc."); backfilled from Alpaca, nullable for
    # symbols Alpaca doesn't know.
    name: Mapped[str | None] = mapped_column(String(120), nullable=True)
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), default=datetime.utcnow, nullable=False
    )

    # Relationships (cascade deletes)
    ohlcv_records = relationship("OHLCVRecord", back_populates="ticker", cascade="all, delete-orphan")
    sentiment_scores = relationship("SentimentScore", back_populates="ticker", cascade="all, delete-orphan")
    fundamental_data = relationship("FundamentalData", back_populates="ticker", cascade="all, delete-orphan")
    sr_levels = relationship("SRLevel", back_populates="ticker", cascade="all, delete-orphan")
    dimension_scores = relationship("DimensionScore", back_populates="ticker", cascade="all, delete-orphan")
    composite_scores = relationship("CompositeScore", back_populates="ticker", cascade="all, delete-orphan")
    trade_setups = relationship("TradeSetup", back_populates="ticker", cascade="all, delete-orphan")
    watchlist_entries = relationship("WatchlistEntry", back_populates="ticker", cascade="all, delete-orphan")
    ingestion_progress = relationship("IngestionProgress", back_populates="ticker", cascade="all, delete-orphan", uselist=False)
