search.py 2.2 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273
  1. """搜索接口路由。"""
  2. from __future__ import annotations
  3. import logging
  4. from fastapi import APIRouter, Query
  5. from app.response import ApiResponse, BusinessError, ResponseCode
  6. from app.schemas import SearchData, SearchRequest
  7. from app.services.cache import get_snapshot
  8. from app.services.zendesk_client import ZendeskError, search_articles
  9. logger = logging.getLogger(__name__)
  10. router = APIRouter(prefix="/faq",tags=["search"])
  11. async def _do_search(req: SearchRequest) -> ApiResponse[SearchData]:
  12. """共享的搜索逻辑:从 Redis 共享缓存读 sec_ids,调用 Zendesk。"""
  13. snapshot = await get_snapshot()
  14. sec_ids: list[int] = snapshot["sec_ids"]
  15. if not sec_ids:
  16. logger.warning("FAQ sec_ids 缓存为空,本次搜索不带 section 过滤")
  17. try:
  18. data = await search_articles(
  19. query=req.query,
  20. section_ids=sec_ids,
  21. locale=req.locale,
  22. page=req.page,
  23. per_page=req.per_page,
  24. )
  25. except ZendeskError as exc:
  26. raise BusinessError(ResponseCode.UPSTREAM_ERROR) from exc
  27. return ApiResponse.ok(
  28. data=SearchData(
  29. count=int(data.get("count", 0)),
  30. page=req.page,
  31. per_page=req.per_page,
  32. is_next_page=bool(data.get("next_page")),
  33. results=data.get("results", []),
  34. )
  35. )
  36. @router.post(
  37. "/search",
  38. response_model=ApiResponse[SearchData],
  39. summary="按 QUERY 搜索 FAQ 文章 (POST)",
  40. )
  41. async def search_post(req: SearchRequest) -> ApiResponse[SearchData]:
  42. """POST 版本,请求体:{"query": "...", "locale": "...", ...}。"""
  43. return await _do_search(req)
  44. # @router.get(
  45. # "/search",
  46. # response_model=ApiResponse[SearchData],
  47. # summary="按 QUERY 搜索 FAQ 文章",
  48. # )
  49. # async def search_get(
  50. # query: str = Query(..., min_length=1, description="搜索关键词"),
  51. # locale: str | None = Query(default=None),
  52. # page: int = Query(default=1, ge=1),
  53. # per_page: int = Query(default=25, ge=1, le=100),
  54. # ) -> ApiResponse[SearchData]:
  55. # return await _do_search(
  56. # SearchRequest(
  57. # query=query, locale=locale, page=page, per_page=per_page
  58. # )
  59. # )