"""风险事件模型。

指标越界自动预警 + 人工处理闭环。
"""

import uuid
from datetime import datetime, timezone

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

from app.core.database import Base
from app.core.types import JSONBType


class RiskEvent(Base):
    """风险事件。"""

    __tablename__ = "risk_events"

    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
    company_id: Mapped[str] = mapped_column(String(36), ForeignKey("companies.id"), nullable=False, index=True)
    type: Mapped[str] = mapped_column(String(50), nullable=False, comment="风险类型：financial/operational/org/ai_specific")
    severity: Mapped[str] = mapped_column(String(20), nullable=False, default="medium", comment="严重程度：low/medium/high/critical")
    status: Mapped[str] = mapped_column(String(20), nullable=False, default="open", comment="状态：open/assigned/in_progress/resolved/closed")
    title: Mapped[str] = mapped_column(String(200), nullable=False)
    description: Mapped[str | None] = mapped_column(Text, nullable=True)
    evidence_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="证据链")
    suggested_action: Mapped[str | None] = mapped_column(Text, nullable=True, comment="建议动作")
    assigned_to: Mapped[str | None] = mapped_column(String(36), ForeignKey("users.id"), nullable=True)
    due_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
    identified_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
    )
    closed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
    )
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True),
        default=lambda: datetime.now(timezone.utc),
        onupdate=lambda: datetime.now(timezone.utc),
    )