"""实验模型"""
from typing import Optional

from sqlalchemy import BigInteger, Float, ForeignKey, Integer, Text, VARCHAR
from sqlalchemy.orm import Mapped, mapped_column

from .base import Base
from .types import JSONB


class Experiment(Base):
    __tablename__ = "experiments"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    title: Mapped[Optional[str]] = mapped_column(VARCHAR(255), nullable=True)
    hypothesis: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
    status: Mapped[str] = mapped_column(VARCHAR(50), nullable=False, default="draft")
    target_metric: Mapped[Optional[str]] = mapped_column(VARCHAR(50), nullable=True)
    current_score: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
    linked_context_nodes: Mapped[Optional[object]] = mapped_column(JSONB, nullable=True)
    experiment_type: Mapped[Optional[str]] = mapped_column(VARCHAR(64), nullable=True, index=True)
    baseline_release_id: Mapped[Optional[int]] = mapped_column(Integer, nullable=True, index=True)
    candidate_release_id: Mapped[Optional[int]] = mapped_column(Integer, nullable=True, index=True)
    scope_json: Mapped[Optional[object]] = mapped_column(JSONB, nullable=True)
    result_summary: Mapped[Optional[object]] = mapped_column(JSONB, nullable=True)
    decision: Mapped[Optional[str]] = mapped_column(VARCHAR(24), nullable=True, index=True)
    project_id: Mapped[Optional[int]] = mapped_column(
        BigInteger, ForeignKey("projects.id"), nullable=True, index=True
    )