"""同行学习圈模型。

AI 匹配面临类似挑战的创始人，结构化讨论。
"""

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 PeerLearningCircle(Base):
    """同行学习圈。"""

    __tablename__ = "peer_learning_circles"

    id: Mapped[str] = mapped_column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
    tenant_id: Mapped[str] = mapped_column(String(36), ForeignKey("tenants.id"), nullable=False, index=True)
    topic: Mapped[str] = mapped_column(String(200), nullable=False, comment="讨论话题")
    description: Mapped[str | None] = mapped_column(Text, nullable=True)
    members: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="成员列表 — 创始人 ID + 企业 ID")
    discussion_framework: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="结构化讨论框架")
    conclusions: Mapped[str | None] = mapped_column(Text, nullable=True, comment="讨论结论")
    action_commitments: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="行动承诺")
    status: Mapped[str] = mapped_column(String(20), nullable=False, default="matching", comment="matching/active/completed")
    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),
    )