# =============================================================================
# 企微IT智能服务台 — 答题系统 API
# =============================================================================
# 说明：排队等待期间的答题+积分API
#
# 路由：
#   GET  /api/h5/quiz/question  — 获取下一道题（双模式自动选择）
#   POST /api/h5/quiz/answer    — 提交答案（正误+积分+插队+下一题）
#   GET  /api/h5/quiz/history   — 答题历史记录和积分
# =============================================================================

import logging
from typing import Optional

from fastapi import APIRouter, Depends, Query
from pydantic import BaseModel
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

from app.database import get_db
from app.models.conversation import Conversation
from app.services.quiz_service import get_quiz_service
from app.utils.response import AppException, success_response

logger = logging.getLogger(__name__)

router = APIRouter(tags=["quiz"])


# =============================================================================
# 请求体定义
# =============================================================================

class AnswerRequest(BaseModel):
    """提交答案请求体。"""
    employee_id: str
    question_id: str
    selected_index: int
    conversation_id: Optional[str] = None


# =============================================================================
# GET /api/h5/quiz/question — 获取下一道题
# =============================================================================
@router.get("/h5/quiz/question")
async def get_quiz_question(
    employee_id: str = Query(..., description="员工ID"),
    conversation_id: Optional[str] = Query(None, description="当前会话ID（排队时传入）"),
    db: AsyncSession = Depends(get_db),
):
    """获取下一道题（双模式自动选择）。

    模式选择：
    - 排队中且 info_locked=false → 诊断题（答案附加到会话上下文）
    - 排队中且 info_locked=true → IT知识题
    - 非排队 → IT知识题

    Args:
        employee_id: 员工ID
        conversation_id: 当前会话ID（可选）

    Returns:
        题目数据
    """
    quiz_service = get_quiz_service()

    # 查找当前会话
    conversation = None
    if conversation_id:
        result = await db.execute(
            select(Conversation).where(Conversation.id == conversation_id)
        )
        conversation = result.scalar_one_or_none()

    question = await quiz_service.get_next_question(db, employee_id, conversation)
    return success_response(data=question)


# =============================================================================
# POST /api/h5/quiz/answer — 提交答案
# =============================================================================
@router.post("/h5/quiz/answer")
async def submit_quiz_answer(
    body: AnswerRequest,
    db: AsyncSession = Depends(get_db),
):
    """提交答案，返回正误+积分变化+插队效果+下一题。

    处理流程：
    1. 判定正误
    2. 记录答题
    3. 更新积分（答对+10分，跨会话累积）
    4. 更新 queue_priority（每答3题前移1位，上限2）
    5. 如果是诊断题且答对，答案附加到会话上下文
    6. 返回下一道题

    Args:
        body: 答案请求体

    Returns:
        答题结果+下一题
    """
    quiz_service = get_quiz_service()

    # 查找当前会话
    conversation = None
    if body.conversation_id:
        result = await db.execute(
            select(Conversation).where(Conversation.id == body.conversation_id)
        )
        conversation = result.scalar_one_or_none()

    result = await quiz_service.submit_answer(
        db, body.employee_id, body.question_id, body.selected_index, conversation
    )
    return success_response(data=result)


# =============================================================================
# GET /api/h5/quiz/history — 答题历史记录和积分
# =============================================================================
@router.get("/h5/quiz/history")
async def get_quiz_history(
    employee_id: str = Query(..., description="员工ID"),
    page: int = Query(1, ge=1, description="页码"),
    page_size: int = Query(20, ge=1, le=100, description="每页数量"),
    db: AsyncSession = Depends(get_db),
):
    """获取答题历史记录和积分信息。

    Args:
        employee_id: 员工ID
        page: 页码
        page_size: 每页数量

    Returns:
        答题历史+积分信息
    """
    quiz_service = get_quiz_service()
    history = await quiz_service.get_quiz_history(db, employee_id, page, page_size)
    return success_response(data=history)