from __future__ import annotations

import logging

from fastapi import APIRouter, Query

from app.core.response import ApiResponse, BusinessError, ResponseCode
from app.schemas import SearchData, SearchRequest
from app.services.cache import get_snapshot
from app.services.zendesk_client import ZendeskError, search_articles

logger = logging.getLogger(__name__)

router = APIRouter(prefix="/faq",tags=["search"])


async def _do_search(req: SearchRequest) -> ApiResponse[SearchData]:
    """共享的搜索逻辑：从 Redis 共享缓存读 sec_ids，调用 Zendesk。"""
    snapshot = await get_snapshot()
    sec_ids: list[int] = snapshot["sec_ids"]

    if not sec_ids:
        logger.warning("FAQ sec_ids 缓存为空，本次搜索不带 section 过滤")

    try:
        data = await search_articles(
            query=req.query,
            section_ids=sec_ids,
            locale=req.locale,
            page=req.page,
            per_page=req.per_page,
        )
    except ZendeskError as exc:
        raise BusinessError(ResponseCode.UPSTREAM_ERROR) from exc

    return ApiResponse.ok(
        data=SearchData(
            count=int(data.get("count", 0)),
            page=req.page,
            per_page=req.per_page,
            is_next_page=bool(data.get("next_page")),
            results=data.get("results", []),
        )
    )


@router.post(
    "/search",
    response_model=ApiResponse[SearchData],
    summary="按 QUERY 搜索 FAQ 文章 (POST)",
)
async def search_post(req: SearchRequest) -> ApiResponse[SearchData]:
    """POST 版本，请求体：{"query": "...", "locale": "...", ...}。"""
    return await _do_search(req)


# @router.get(
#     "/search",
#     response_model=ApiResponse[SearchData],
#     summary="按 QUERY 搜索 FAQ 文章",
# )
# async def search_get(
#     query: str = Query(..., min_length=1, description="搜索关键词"),
#     locale: str | None = Query(default=None),
#     page: int = Query(default=1, ge=1),
#     per_page: int = Query(default=25, ge=1, le=100),
# ) -> ApiResponse[SearchData]:
#     return await _do_search(
#         SearchRequest(
#             query=query, locale=locale, page=page, per_page=per_page
#         )
#     )