"""客户获取计划模型。

AI 客户增长引擎 — LP 资源匹配 + 客户获取方案。
"""

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 CustomerAcquisitionPlan(Base):
    """客户获取计划。"""

    __tablename__ = "customer_acquisition_plans"

    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)
    target_customer: Mapped[str | None] = mapped_column(Text, nullable=True, comment="目标客户画像")
    entry_angle: Mapped[str | None] = mapped_column(Text, nullable=True, comment="切入角度")
    decision_chain: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="决策链分析")
    pricing_strategy: Mapped[str | None] = mapped_column(Text, nullable=True, comment="定价策略")
    competitive_analysis: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="竞争分析")
    lp_resources: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="可利用 LP 资源")
    execution_status: Mapped[str] = mapped_column(String(20), nullable=False, default="planned", comment="planned/executing/completed/failed")
    result: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="执行结果")
    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),
    )