"""BML 认知追踪模型。

假设/实验/数据/结论 — Build-Measure-Learn 循环。
"""

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 Hypothesis(Base):
    """BML 认知追踪 — 假设记录。"""

    __tablename__ = "hypotheses"

    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)
    hypothesis: Mapped[str] = mapped_column(Text, nullable=False, comment="假设")
    experiment: Mapped[str | None] = mapped_column(Text, nullable=True, comment="验证实验")
    data: Mapped[dict | None] = mapped_column(JSONBType, nullable=True, comment="实验数据")
    conclusion: Mapped[str | None] = mapped_column(Text, nullable=True, comment="结论")
    status: Mapped[str] = mapped_column(String(20), nullable=False, default="building", comment="building/measuring/learning/validated/invalidated")
    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),
    )