"""
SQLAlchemy ORM models for POTE.
Matches the schema defined in docs/02_data_model.md.
"""

from datetime import date, datetime, timezone
from decimal import Decimal

from sqlalchemy import (
    DECIMAL,
    Date,
    DateTime,
    ForeignKey,
    Index,
    Integer,
    JSON,
    String,
    Text,
    UniqueConstraint,
)
from sqlalchemy.orm import Mapped, mapped_column, relationship

from pote.db import Base


class Official(Base):
    """Government officials (Congress members, etc.)."""

    __tablename__ = "officials"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    name: Mapped[str] = mapped_column(String(200), nullable=False, index=True)
    chamber: Mapped[str | None] = mapped_column(String(50))  # "House", "Senate", etc.
    party: Mapped[str | None] = mapped_column(String(50))
    state: Mapped[str | None] = mapped_column(String(2))
    bioguide_id: Mapped[str | None] = mapped_column(String(20), unique=True)
    external_ids: Mapped[str | None] = mapped_column(Text)  # JSON blob for other IDs
    created_at: Mapped[datetime] = mapped_column(
        DateTime, default=lambda: datetime.now(timezone.utc)
    )
    updated_at: Mapped[datetime] = mapped_column(
        DateTime,
        default=lambda: datetime.now(timezone.utc),
        onupdate=lambda: datetime.now(timezone.utc),
    )

    # Relationships
    trades: Mapped[list["Trade"]] = relationship("Trade", back_populates="official")

    def __repr__(self) -> str:
        return f"<Official(id={self.id}, name='{self.name}', chamber='{self.chamber}')>"


class Security(Base):
    """Securities (stocks, bonds, etc.)."""

    __tablename__ = "securities"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    ticker: Mapped[str] = mapped_column(String(20), nullable=False, unique=True, index=True)
    name: Mapped[str | None] = mapped_column(String(200))
    exchange: Mapped[str | None] = mapped_column(String(50))
    sector: Mapped[str | None] = mapped_column(String(100))
    industry: Mapped[str | None] = mapped_column(String(100))
    asset_type: Mapped[str] = mapped_column(String(50), default="stock")  # stock, bond, etc.
    created_at: Mapped[datetime] = mapped_column(
        DateTime, default=lambda: datetime.now(timezone.utc)
    )
    updated_at: Mapped[datetime] = mapped_column(
        DateTime,
        default=lambda: datetime.now(timezone.utc),
        onupdate=lambda: datetime.now(timezone.utc),
    )

    # Relationships
    trades: Mapped[list["Trade"]] = relationship("Trade", back_populates="security")
    prices: Mapped[list["Price"]] = relationship("Price", back_populates="security")

    def __repr__(self) -> str:
        return f"<Security(id={self.id}, ticker='{self.ticker}', name='{self.name}')>"


class Trade(Base):
    """Trades disclosed by officials."""

    __tablename__ = "trades"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    official_id: Mapped[int] = mapped_column(ForeignKey("officials.id"), nullable=False, index=True)
    security_id: Mapped[int] = mapped_column(
        ForeignKey("securities.id"), nullable=False, index=True
    )

    # Core trade fields
    source: Mapped[str] = mapped_column(String(50), nullable=False)  # "quiver", "fmp", etc.
    external_id: Mapped[str | None] = mapped_column(String(100))  # source-specific ID
    transaction_date: Mapped[date] = mapped_column(Date, nullable=False, index=True)
    filing_date: Mapped[date | None] = mapped_column(Date, index=True)
    side: Mapped[str] = mapped_column(String(20), nullable=False)  # "buy", "sell", "exchange"

    # Amount (often disclosed as a range)
    value_min: Mapped[Decimal | None] = mapped_column(DECIMAL(15, 2))
    value_max: Mapped[Decimal | None] = mapped_column(DECIMAL(15, 2))
    amount: Mapped[Decimal | None] = mapped_column(DECIMAL(15, 2))  # shares/units if available
    currency: Mapped[str] = mapped_column(String(3), default="USD")

    # Quality flags (JSON or enum list)
    quality_flags: Mapped[str | None] = mapped_column(Text)  # e.g., "range_only,delayed_filing"

    created_at: Mapped[datetime] = mapped_column(
        DateTime, default=lambda: datetime.now(timezone.utc)
    )
    updated_at: Mapped[datetime] = mapped_column(
        DateTime,
        default=lambda: datetime.now(timezone.utc),
        onupdate=lambda: datetime.now(timezone.utc),
    )

    # Relationships
    official: Mapped["Official"] = relationship("Official", back_populates="trades")
    security: Mapped["Security"] = relationship("Security", back_populates="trades")

    # Constraints
    __table_args__ = (
        Index("ix_trades_official_date", "official_id", "transaction_date"),
        Index("ix_trades_security_date", "security_id", "transaction_date"),
        UniqueConstraint(
            "source", "external_id", name="uq_trades_source_external_id"
        ),  # dedup by source ID
    )

    def __repr__(self) -> str:
        return (
            f"<Trade(id={self.id}, official_id={self.official_id}, "
            f"ticker={self.security.ticker if self.security else 'N/A'}, "
            f"side='{self.side}', date={self.transaction_date})>"
        )


class Price(Base):
    """Daily price data for securities."""

    __tablename__ = "prices"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    security_id: Mapped[int] = mapped_column(
        ForeignKey("securities.id"), nullable=False, index=True
    )
    date: Mapped[date] = mapped_column(Date, nullable=False, index=True)

    open: Mapped[Decimal | None] = mapped_column(DECIMAL(15, 4))
    high: Mapped[Decimal | None] = mapped_column(DECIMAL(15, 4))
    low: Mapped[Decimal | None] = mapped_column(DECIMAL(15, 4))
    close: Mapped[Decimal] = mapped_column(DECIMAL(15, 4), nullable=False)
    volume: Mapped[int | None] = mapped_column(Integer)
    adjusted_close: Mapped[Decimal | None] = mapped_column(DECIMAL(15, 4))

    source: Mapped[str] = mapped_column(String(50), default="yfinance")
    created_at: Mapped[datetime] = mapped_column(
        DateTime, default=lambda: datetime.now(timezone.utc)
    )

    # Relationships
    security: Mapped["Security"] = relationship("Security", back_populates="prices")

    # Constraints
    __table_args__ = (UniqueConstraint("security_id", "date", name="uq_prices_security_date"),)

    def __repr__(self) -> str:
        return f"<Price(security_id={self.security_id}, date={self.date}, close={self.close})>"


# Future analytics models (stubs for now, will implement in Phase 2)


class MetricOfficial(Base):
    """Aggregate metrics per official (Phase 2)."""

    __tablename__ = "metrics_official"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    official_id: Mapped[int] = mapped_column(ForeignKey("officials.id"), nullable=False, index=True)
    calc_date: Mapped[date] = mapped_column(Date, nullable=False)
    calc_version: Mapped[str] = mapped_column(String(20), nullable=False)

    # Placeholder metric fields (will expand in Phase 2)
    trade_count: Mapped[int | None] = mapped_column(Integer)
    avg_abnormal_return_1m: Mapped[Decimal | None] = mapped_column(DECIMAL(10, 6))
    cluster_label: Mapped[str | None] = mapped_column(String(50))

    created_at: Mapped[datetime] = mapped_column(
        DateTime, default=lambda: datetime.now(timezone.utc)
    )

    __table_args__ = (
        UniqueConstraint("official_id", "calc_date", "calc_version", name="uq_metrics_official"),
    )


class MetricTrade(Base):
    """Per-trade metrics (abnormal returns, etc., Phase 2)."""

    __tablename__ = "metrics_trade"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    trade_id: Mapped[int] = mapped_column(ForeignKey("trades.id"), nullable=False, index=True)
    calc_date: Mapped[date] = mapped_column(Date, nullable=False)
    calc_version: Mapped[str] = mapped_column(String(20), nullable=False)

    # Placeholder metric fields
    return_1m: Mapped[Decimal | None] = mapped_column(DECIMAL(10, 6))
    abnormal_return_1m: Mapped[Decimal | None] = mapped_column(DECIMAL(10, 6))
    signal_flags: Mapped[str | None] = mapped_column(Text)  # JSON list

    created_at: Mapped[datetime] = mapped_column(
        DateTime, default=lambda: datetime.now(timezone.utc)
    )

    __table_args__ = (
        UniqueConstraint("trade_id", "calc_date", "calc_version", name="uq_metrics_trade"),
    )


class MarketAlert(Base):
    """
    Real-time market activity alerts.
    Tracks unusual volume, price movements, and other anomalies.
    """

    __tablename__ = "market_alerts"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    ticker: Mapped[str] = mapped_column(String(20), nullable=False, index=True)
    alert_type: Mapped[str] = mapped_column(
        String(50), nullable=False
    )  # 'unusual_volume', 'price_spike', 'options_flow', etc.
    timestamp: Mapped[datetime] = mapped_column(DateTime, nullable=False, index=True)

    # Alert details (stored as JSON)
    details: Mapped[dict | None] = mapped_column(JSON)

    # Metrics at time of alert
    price: Mapped[Decimal | None] = mapped_column(DECIMAL(15, 4))
    volume: Mapped[int | None] = mapped_column(Integer)
    change_pct: Mapped[Decimal | None] = mapped_column(
        DECIMAL(10, 4)
    )  # Price change %

    # Severity scoring
    severity: Mapped[int | None] = mapped_column(Integer)  # 1-10 scale

    # Metadata
    source: Mapped[str] = mapped_column(String(50), default="market_monitor")
    created_at: Mapped[datetime] = mapped_column(
        DateTime, default=lambda: datetime.now(timezone.utc)
    )

    # Indexes for efficient queries
    __table_args__ = (
        Index("ix_market_alerts_ticker_timestamp", "ticker", "timestamp"),
        Index("ix_market_alerts_alert_type", "alert_type"),
    )

    def __repr__(self) -> str:
        return (
            f"<MarketAlert(ticker='{self.ticker}', type='{self.alert_type}', "
            f"timestamp={self.timestamp}, severity={self.severity})>"
        )