"""健康度评分模型。

多维度评分：财务、经营、AI+ 商业化、AI+ 成本。
"""

import uuid
from datetime import datetime, timezone

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

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


class HealthScore(Base):
    """健康度评分。"""

    __tablename__ = "health_scores"

    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)
    total_score: Mapped[float] = mapped_column(Float, nullable=False, comment="总分（0-100）")
    financial_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="财务健康度")
    operational_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="经营健康度")
    ai_commercial_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="AI+ 商业化健康度")
    ai_cost_score: Mapped[float | None] = mapped_column(Float, nullable=True, comment="AI+ 成本健康度")
    trend: Mapped[str | None] = mapped_column(String(20), nullable=True, comment="趋势：up/stable/down")
    evidence_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="评分依据")
    recommendations_json: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="建议动作")
    calculated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
    )