from __future__ import annotations

from datetime import datetime
from decimal import Decimal

from sqlalchemy import BigInteger, DateTime, ForeignKey, Integer, JSON, Numeric, String, Text, UniqueConstraint
from sqlalchemy.orm import Mapped, mapped_column, relationship

from app.db.base import Base
from app.models.mixins import TimestampMixin

BIGINT_PK = BigInteger().with_variant(Integer, "sqlite")


class TrainingRecord(TimestampMixin, Base):
    """训练记录表：完整完成问诊、诊断、治疗和评价后写入长期记录。"""

    __tablename__ = "training_record"

    id: Mapped[int] = mapped_column(BIGINT_PK, primary_key=True, autoincrement=True, comment="训练记录ID")
    training_mode: Mapped[str] = mapped_column(String(50), nullable=False, index=True, comment="训练模式")
    case_type: Mapped[str] = mapped_column(String(30), nullable=False, index=True, comment="病例/训练类型")
    start_time: Mapped[datetime] = mapped_column(DateTime, nullable=False, comment="训练开始时间")
    end_time: Mapped[datetime | None] = mapped_column(DateTime, comment="训练结束时间")
    duration_seconds: Mapped[int | None] = mapped_column(Integer, comment="训练持续秒数")
    total_score: Mapped[Decimal | None] = mapped_column(Numeric(5, 2), comment="总分")
    ai_score: Mapped[Decimal | None] = mapped_column(Numeric(5, 2), comment="AI评分")
    teacher_score: Mapped[Decimal | None] = mapped_column(Numeric(5, 2), comment="教师评分")
    evaluation_level: Mapped[str] = mapped_column(String(20), nullable=False, default="", comment="评价等级")
    status: Mapped[str] = mapped_column(String(30), nullable=False, index=True, comment="记录状态")
    feedback: Mapped[str] = mapped_column(Text, nullable=False, default="", comment="总体反馈")
    thinking_chain: Mapped[str] = mapped_column(Text, nullable=False, default="", comment="诊断循证与评分依据摘要")
    diagnosis_path: Mapped[str] = mapped_column(Text, nullable=False, default="", comment="诊断路径摘要")
    wrong_points: Mapped[list] = mapped_column(JSON, nullable=False, default=list, comment="错误点/扣分点")
    missed_questions: Mapped[list] = mapped_column(JSON, nullable=False, default=list, comment="遗漏问题")
    recommendation_result: Mapped[dict] = mapped_column(JSON, nullable=False, default=dict, comment="改进建议和导出结果")
    ai_feedback_structured: Mapped[dict] = mapped_column(JSON, nullable=False, default=dict, comment="AI结构化评价")
    osce_station_score: Mapped[dict] = mapped_column(JSON, nullable=False, default=dict, comment="OSCE站点评分")
    interruption_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0, comment="中断次数")
    emotion_analysis: Mapped[dict] = mapped_column(JSON, nullable=False, default=dict, comment="情绪分析")
    prompt_version: Mapped[str] = mapped_column(String(50), nullable=False, default="v1", comment="提示词版本")
    rag_context_version: Mapped[str] = mapped_column(String(50), nullable=False, default="none", comment="RAG上下文版本")
    case_id: Mapped[int] = mapped_column(BigInteger, nullable=False, index=True, comment="病例ID")
    teacher_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="教师ID")
    user_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="Django用户中心数字ID")
    external_user_id: Mapped[str] = mapped_column(String(128), nullable=False, index=True, comment="Django用户中心ID")
    session_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="训练会话ID")
    evaluation_record_id: Mapped[int | None] = mapped_column(BigInteger, nullable=True, index=True, comment="兼容旧评价记录ID")
    score_type: Mapped[str] = mapped_column(String(20), nullable=False, default="percentage", comment="分数类型")
    pdf_file_path: Mapped[str | None] = mapped_column(String(512), comment="PDF报告路径")

    __table_args__ = (
        UniqueConstraint("session_id", name="uk_training_record_session"),
        {"comment": "训练记录表"},
    )

    score_details = relationship("TrainingScoreDetail", back_populates="record", cascade="all, delete-orphan")


class TrainingScoreDetail(TimestampMixin, Base):
    """评分明细表：保存每条 scoring_rule 对应的 AI 评分、扣分原因、证据和置信度。"""

    __tablename__ = "training_score_detail"

    id: Mapped[int] = mapped_column(BIGINT_PK, primary_key=True, autoincrement=True, comment="评分明细ID")
    record_id: Mapped[int] = mapped_column(ForeignKey("training_record.id"), nullable=False, index=True, comment="训练记录ID")
    rule_id: Mapped[int | None] = mapped_column(ForeignKey("scoring_rule.id"), nullable=True, index=True, comment="评分规则ID")
    dimension: Mapped[str] = mapped_column(String(50), nullable=False, index=True, comment="评分维度")
    score: Mapped[Decimal] = mapped_column(Numeric(5, 2), nullable=False, default=0, comment="分数")
    deducted_reason: Mapped[str | None] = mapped_column(Text, comment="扣分原因")
    evidence_message_ids: Mapped[list] = mapped_column(JSON, nullable=False, default=list, comment="对应对话证据")
    ai_confidence: Mapped[Decimal | None] = mapped_column(Numeric(5, 2), comment="AI评分置信度")
    comment: Mapped[str | None] = mapped_column(Text, comment="评语")

    record = relationship("TrainingRecord", back_populates="score_details")

    __table_args__ = {"comment": "评分明细表"}