美团 feed 改用离线库 + 三 tab 降级兜底(替换 main 的实时版 feed) (#40)
把 main 的实时 feed 换成离线库版本 + status 降级兜底: - rec 智能推荐:改走离线库 meituan_coupon 筛佣金≥3%(SQL 去重+排序+分页),不再实时撞限流 - distance 距离最近:改实时搜索翻页(sortField=6),按用户真实位置由近及远排 - top_sales 销量最高:改 SQL DISTINCT ON 分页,修原全表拉取+全量解析的翻页卡顿 - 四路加 status(ok/empty/degraded):空库/上游失败均返 200 不再 5xx;/coupons 502 软化为降级 - FeedResponse/CouponListResponse 加 status 字段(默认 ok,向后兼容) 注意:替换 main #18 的实时 feed 实现,需 review 行为变更;依赖的离线库由 ETL 灌(见 meituan-etl PR) --------- Co-authored-by: chenshuobo <1119780489@qq.com> Reviewed-on: #40
This commit was merged in pull request #40.
This commit is contained in:
+142
-48
@@ -8,12 +8,12 @@ import logging
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from fastapi import APIRouter, Depends, HTTPException
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from sqlalchemy import select
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from sqlalchemy.orm import Session
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from sqlalchemy import nullslast, select
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from sqlalchemy.orm import Session, aliased
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from app.core.config import settings
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from app.db.session import get_db
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from app.integrations.meituan import MeituanCpsError, get_referral_link, query_coupon
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from app.integrations.meituan import MeituanCpsError, _call, get_referral_link, query_coupon
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from app.models.meituan_coupon import MeituanCoupon
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from app.schemas.meituan import (
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CouponCard,
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@@ -34,7 +34,7 @@ router = APIRouter(prefix="/api/v1/meituan", tags=["meituan-cps"])
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@router.post("/coupons", response_model=CouponListResponse, summary="券列表(为您推荐)")
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def list_coupons(req: CouponListRequest) -> CouponListResponse:
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if not settings.mt_cps_configured:
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return CouponListResponse(items=[], has_next=False, search_id=None)
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return CouponListResponse(items=[], has_next=False, search_id=None, status="degraded")
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logger.info("[coupons] lon=%.6f lat=%.6f topic=%s", req.longitude, req.latitude, req.list_topic_id)
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try:
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raw = query_coupon(
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@@ -50,14 +50,21 @@ def list_coupons(req: CouponListRequest) -> CouponListResponse:
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page_size=req.page_size,
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)
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except MeituanCpsError as e:
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logger.error("query_coupon failed: %s", e)
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raise HTTPException(status_code=502, detail=f"meituan: {e}") from e
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# 软降级:不再抛 502(避免前端弹报错 toast),返空 + degraded,前端显示「服务繁忙」。
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logger.warning("[coupons] query_coupon 失败,降级返空: %s", e)
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return CouponListResponse(items=[], has_next=False, search_id=None, status="degraded")
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items = [CouponCard.from_raw(it) for it in (raw.get("data") or [])]
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items: list[CouponCard] = []
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for it in (raw.get("data") or []):
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try:
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items.append(CouponCard.from_raw(it))
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except Exception: # noqa: BLE001
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continue
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return CouponListResponse(
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items=items,
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has_next=raw.get("hasNext", False),
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search_id=raw.get("searchId"),
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status="ok" if items else "empty",
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)
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@@ -93,59 +100,136 @@ def _commission_pct(card: CouponCard) -> float:
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@router.post("/feed", response_model=FeedResponse, summary="混合feed(外卖+到店交叉);tab=rec智能推荐/distance距离最近")
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def feed(req: FeedRequest) -> FeedResponse:
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if not settings.mt_cps_configured:
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return FeedResponse(items=[], has_next=False, page=req.page)
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def feed(req: FeedRequest, db: Session = Depends(get_db)) -> FeedResponse:
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lon, lat = req.longitude, req.latitude
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tab = (req.tab or "").strip()
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logger.info("[feed] tab=%s page=%s lon=%.6f lat=%.6f", tab or "(default)", req.page, lon, lat)
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def _fetch_topic(platform: int, biz_line: int | None, topic: int) -> list[dict]:
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# rec 是纯离线库查询,不依赖 MT 凭证、不实时打美团;其余 tab(distance / 默认)要实时打美团,
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# 未配凭证直接降级返空(degraded),让前端区分「服务暂不可用」而非「暂无」。
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if tab != "rec" and not settings.mt_cps_configured:
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return FeedResponse(items=[], has_next=False, page=req.page, status="degraded")
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def _fetch_topic(platform: int, biz_line: int | None, topic: int) -> tuple[list[dict], bool]:
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"""返回(items, 是否调用失败)。失败标志用于把默认 feed 整页标 degraded。"""
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try:
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return (query_coupon(
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data = (query_coupon(
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longitude=lon, latitude=lat,
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platform=platform, biz_line=biz_line,
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list_topic_id=topic, page_size=20,
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).get("data") or [])
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return data, False
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except MeituanCpsError:
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return []
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return [], True
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# 距离最近:拉齐全部榜单轮次,合并去重,后端在【完整池子】上全局按距离由近及远排,一次性返回。
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# (距离排序必须在完整池上做、不能逐页排——这正是之前放前端不合理的根因。)
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# 距离最近:搜索召回(外卖搜"外卖" + 到店搜"美食",都 sortField=6 离我最近)一页页拉。
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# 搜索翻页必须用 searchId(pageNo 翻不动),所以每个 feed 页顺序翻到第 N 页;两路并行、page 1 最快。
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# 无状态、不改 APP(传页码即可);按你位置实时算距离(库里没存 POI 经纬度,只能实时)。
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if tab == "distance":
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with ThreadPoolExecutor(max_workers=len(_TOPIC_ROUNDS) * 2) as pool:
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futs = []
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for wm_topic, dd_topic in _TOPIC_ROUNDS:
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futs.append(pool.submit(_fetch_topic, 1, None, wm_topic))
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futs.append(pool.submit(_fetch_topic, 2, 1, dd_topic))
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raws = [f.result() for f in futs]
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lon_i, lat_i = int(lon * 1_000_000), int(lat * 1_000_000)
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def _search_page_n(platform: int, biz_line: int | None, keyword: str, n: int) -> tuple[list[dict], bool, bool]:
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"""顺序翻到第 n 页(搜索须 searchId 续页),返回(第 n 页 items, 是否还有下一页, 是否调用失败)。"""
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sid: str | None = None
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data: list[dict] = []
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has_next = False
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for pg in range(1, n + 1):
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body: dict = {
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"platform": platform, "searchText": keyword, "sortField": 6,
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"longitude": lon_i, "latitude": lat_i, "pageSize": 20,
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}
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if biz_line is not None:
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body["bizLine"] = biz_line
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if sid:
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body["searchId"] = sid
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else:
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body["pageNo"] = 1
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try:
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r = _call("/cps_open/common/api/v1/query_coupon", body)
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except MeituanCpsError:
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return [], False, True # 调用失败(用于标 degraded)
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data = r.get("data") or []
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sid = r.get("searchId")
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has_next = bool(r.get("hasNext")) and bool(data)
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if not data or (not has_next and pg < n):
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return [], False, False # 没那么多页了(非错误)
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return data, has_next, False
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with ThreadPoolExecutor(max_workers=2) as pool:
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f_wm = pool.submit(_search_page_n, 1, None, "外卖", req.page)
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f_dd = pool.submit(_search_page_n, 2, 1, "美食", req.page)
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(wm_data, wm_hn, wm_fail), (dd_data, dd_hn, dd_fail) = f_wm.result(), f_dd.result()
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seen: set[str] = set()
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cards: list[CouponCard] = []
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for raw_list in raws:
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for it in raw_list:
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for it in wm_data + dd_data:
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try:
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card = CouponCard.from_raw(it)
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except Exception: # noqa: BLE001
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continue
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if card.product_view_sign and card.product_view_sign not in seen:
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seen.add(card.product_view_sign)
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cards.append(card)
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cards.sort(key=lambda c: c.distance_meters if c.distance_meters is not None else float("inf"))
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return FeedResponse(items=cards, has_next=False, page=1)
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# 两路都失败且无数据 → degraded;否则有数据 ok / 无数据 empty
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status = "degraded" if (not cards and wm_fail and dd_fail) else ("ok" if cards else "empty")
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return FeedResponse(items=cards, has_next=wm_hn or dd_hn, page=req.page, status=status)
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# 智能推荐(rec,默认):沿用逐轮分页的混合 feed,后端过滤掉佣金率 < 3%。
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# 智能推荐(rec):走【离线库】筛佣金率 ≥ 3%,分页返回(SQL 侧去重+排序+分页,秒级、不打美团)。
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# 实测库里佣金≥3% 去重后仅 ~578 条(几乎全是外卖;到店团购佣金普遍 <3%):实时按"同城热销榜单"
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# 拉既撞限流、又填不满(该榜单中位佣金 ~0.8%,筛完每页剩 0-1 条),故从库出。佣金阈值逻辑不变。
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if tab == "rec":
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PAGE = 20
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try:
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base = select(MeituanCoupon).where(MeituanCoupon.commission_percent >= 3.0)
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deduped = base.distinct(MeituanCoupon.dedup_key).order_by(
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MeituanCoupon.dedup_key,
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MeituanCoupon.commission_percent.desc(),
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).subquery()
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m = aliased(MeituanCoupon, deduped)
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start = (req.page - 1) * PAGE
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rows = db.execute(
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select(m)
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# 销量高的优先(无销量档排后),同档佣金高优先,id 兜底稳定分页
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.order_by(nullslast(m.sale_volume_num.desc()), m.commission_percent.desc(), m.id)
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.offset(start)
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.limit(PAGE + 1)
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).scalars().all()
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except Exception: # noqa: BLE001
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logger.exception("[feed] rec 库查询失败,降级返空")
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return FeedResponse(items=[], has_next=False, page=req.page, status="degraded")
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has_next = len(rows) > PAGE
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cards: list[CouponCard] = []
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for row in rows[:PAGE]:
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try:
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card = CouponCard.from_raw(row.raw or {})
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except Exception: # noqa: BLE001
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continue
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if card.product_view_sign:
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# 智能推荐不显示距离:库里的距离是相对城市默认点的(对用户无意义、且误导)。
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# 置空后前端"距离 店名"那行只剩店名、自动顶到最左(店名移到原距离的位置)。
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card.distance_text = None
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card.distance_meters = None
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cards.append(card)
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return FeedResponse(items=cards, has_next=has_next, page=req.page,
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status="ok" if cards else "empty")
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# 默认(老客户端不传 tab):沿用逐轮分页的混合 feed,不筛。
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page_idx = req.page - 1
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if page_idx >= len(_TOPIC_ROUNDS):
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return FeedResponse(items=[], has_next=False, page=req.page)
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return FeedResponse(items=[], has_next=False, page=req.page, status="empty")
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wm_topic, dd_topic = _TOPIC_ROUNDS[page_idx]
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with ThreadPoolExecutor(max_workers=2) as pool:
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f_wm = pool.submit(_fetch_topic, 1, None, wm_topic)
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f_dd = pool.submit(_fetch_topic, 2, 1, dd_topic)
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waimai, daodian = f_wm.result(), f_dd.result()
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(waimai, wm_fail), (daodian, dd_fail) = f_wm.result(), f_dd.result()
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items = _interleave(waimai, daodian)
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if tab == "rec":
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items = [c for c in items if _commission_pct(c) >= 3.0]
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has_next = page_idx + 1 < len(_TOPIC_ROUNDS)
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return FeedResponse(items=items, has_next=has_next, page=req.page)
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# 两路都失败且无数据 → degraded;否则有数据 ok / 无数据 empty
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status = "degraded" if (not items and wm_fail and dd_fail) else ("ok" if items else "empty")
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return FeedResponse(items=items, has_next=has_next, page=req.page, status=status)
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@router.post("/referral-link", response_model=ReferralLinkResponse, summary="换取推广链接(点抢时调)")
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@@ -172,32 +256,42 @@ def referral_link(req: ReferralLinkRequest) -> ReferralLinkResponse:
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@router.post("/top-sales", response_model=CouponListResponse,
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summary="销量最高(从离线库 meituan_coupon 按销量降序 + 跨源去重,不实时打美团)")
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def top_sales(req: TopSalesRequest, db: Session = Depends(get_db)) -> CouponListResponse:
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# 只取有销量档的(美团很多券没销量,排不了);按销量降序、同销量再按佣金降序
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stmt = select(MeituanCoupon).where(MeituanCoupon.sale_volume_num.isnot(None))
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# 去重 + 排序 + 分页全在 SQL 做,每页只取并解析当前页 ~20 条。
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# (之前实现每翻一页都全表拉取 + 全量 from_raw 解析,翻页慢 → 客户端滑动卡顿/翻不动。)
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# 库为空(prod 刚部署 / ETL 未跑完)时返空 + status=empty,不崩;库查询异常降级 degraded。
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try:
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# 1) DISTINCT ON (dedup_key):每个去重键(品牌|名|价)只留销量最高那条(同销量再按佣金)
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base = select(MeituanCoupon).where(MeituanCoupon.sale_volume_num.isnot(None))
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if req.platform is not None:
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stmt = stmt.where(MeituanCoupon.platform == req.platform)
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stmt = stmt.order_by(
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base = base.where(MeituanCoupon.platform == req.platform)
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deduped = base.distinct(MeituanCoupon.dedup_key).order_by(
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MeituanCoupon.dedup_key,
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MeituanCoupon.sale_volume_num.desc(),
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MeituanCoupon.commission_percent.desc(),
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)
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rows = db.execute(stmt).scalars().all()
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).subquery()
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# 跨源去重(dedup_key = 品牌|名|价):按销量降序遍历,每个 dedup_key 只留第一条(=销量最高那条)。
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# 用 raw(整条原始返回)重建 CouponCard,字段与实时接口完全一致,前端无需改渲染。
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seen: set[str] = set()
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# 2) 对去重结果按销量降序分页;多取 1 条判断 has_next,只对本页做 from_raw
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m = aliased(MeituanCoupon, deduped)
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start = (req.page - 1) * req.page_size
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rows = db.execute(
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select(m)
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# 加 id 作稳定 tiebreaker:同销量同佣金的并列项排序确定,避免跨页重复/漏项
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.order_by(m.sale_volume_num.desc(), m.commission_percent.desc(), m.id)
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.offset(start)
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.limit(req.page_size + 1)
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).scalars().all()
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except Exception: # noqa: BLE001
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logger.exception("[top-sales] 库查询失败,降级返空")
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return CouponListResponse(items=[], has_next=False, search_id=None, status="degraded")
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has_next = len(rows) > req.page_size
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cards: list[CouponCard] = []
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for row in rows:
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if row.dedup_key in seen:
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continue
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seen.add(row.dedup_key)
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for row in rows[:req.page_size]:
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try:
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card = CouponCard.from_raw(row.raw or {})
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except Exception: # noqa: BLE001
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continue
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if card.product_view_sign:
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cards.append(card)
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start = (req.page - 1) * req.page_size
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page_items = cards[start:start + req.page_size]
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has_next = start + req.page_size < len(cards)
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return CouponListResponse(items=page_items, has_next=has_next, search_id=None)
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return CouponListResponse(items=cards, has_next=has_next, search_id=None,
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status="ok" if cards else "empty")
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+10
-1
@@ -1,10 +1,17 @@
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"""美团 CPS 券列表 / 换链相关 schemas。"""
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from __future__ import annotations
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from typing import Any
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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# feed / 列表类接口的结果状态,供前端区分占位文案:
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# ok = 正常有数据
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# empty = 后端正常、查询成功但确实没有数据(显示「暂无优惠券」)
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# degraded = 上游(美团)或库查询失败,已降级返空(显示「服务繁忙,下拉重试」)
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# 老客户端不读该字段,默认 ok,向后兼容。
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FeedStatus = Literal["ok", "empty", "degraded"]
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# ───────────────── 券卡片（归一化后给客户端） ─────────────────
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@@ -127,6 +134,7 @@ class CouponListResponse(BaseModel):
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items: list[CouponCard]
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has_next: bool = False
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search_id: str | None = None
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status: FeedStatus = Field("ok", description="ok 有数据 / empty 暂无 / degraded 上游失败已降级")
|
||||
|
||||
|
||||
class FeedRequest(BaseModel):
|
||||
@@ -146,6 +154,7 @@ class FeedResponse(BaseModel):
|
||||
items: list[CouponCard]
|
||||
has_next: bool = False
|
||||
page: int = 1
|
||||
status: FeedStatus = Field("ok", description="ok 有数据 / empty 暂无 / degraded 上游失败已降级")
|
||||
|
||||
|
||||
class TopSalesRequest(BaseModel):
|
||||
|
||||
@@ -20,11 +20,11 @@
|
||||
| `page_size` | int | ❌ | 20 | 1–20 |
|
||||
|
||||
## 出参
|
||||
响应 `200`:`{ items: CouponCard[], has_next: bool, search_id: string|null }`。`CouponCard` 结构见 [API 索引](./README.md#复用数据结构)。
|
||||
响应 `200`:`{ items: CouponCard[], has_next: bool, search_id: string|null, status: "ok"|"empty"|"degraded" }`。`CouponCard` 结构见 [API 索引](./README.md#复用数据结构);`status` 语义见 [feed 接口](./meituan-feed.md#status-字段前端据此显示占位)。
|
||||
|
||||
## 错误码
|
||||
- `502` 美团接口失败(仅在**已配置 `MT_CPS_APP_KEY/APP_SECRET` 但调用失败**时;未配凭证场景见下)
|
||||
无业务级错误码:未配凭证 / 美团调用失败都返 `200` + 空 `items` + `status=degraded`(**2026-06-10 起不再抛 502**,避免前端弹报错 toast)。
|
||||
|
||||
## 说明
|
||||
- 当前 Android 客户端**未调用**此接口(搜索功能尚未实现),仅后端实现完整
|
||||
- **未配置 MT_CPS 凭证时降级**:`settings.mt_cps_configured == false` 时直接返 `{ items: [], has_next: false, search_id: null }`,**不报 502**。设计目的是让新开发机首屏不炸——后端业务层先不依赖 CPS。已配凭证但调美团失败时才走 502
|
||||
- **统一软降级(2026-06-10)**:未配 `MT_CPS_APP_KEY/SECRET`、或已配但调美团失败,都返空 + `status=degraded`(此前后者抛 502);成功但无结果 → `status=empty`。前端按 `status` 显示「服务繁忙」/「暂无」,不再弹错误
|
||||
|
||||
+26
-16
@@ -1,31 +1,41 @@
|
||||
# POST /api/v1/meituan/feed — 首页混合推荐流
|
||||
# POST /api/v1/meituan/feed — 首页推荐流(多 tab)
|
||||
|
||||
> 所属:美团 CPS 组（前缀 `/api/v1/meituan`,**全部无鉴权**） | 鉴权:无 | [← 返回 API 索引](./README.md)
|
||||
> 所属:美团 CPS 组(前缀 `/api/v1/meituan`,**全部无鉴权**) | 鉴权:无 | [← 返回 API 索引](./README.md)
|
||||
>
|
||||
> 集成实现:见 [integrations/meituan](../integrations/meituan.md)（CPS S-Ca 签名、入参换算坑）。
|
||||
> 集成实现:见 [integrations/meituan](../integrations/meituan.md)(CPS S-Ca 签名、入参换算坑);离线库见 [database/meituan_coupon](../database/meituan_coupon.md)。
|
||||
|
||||
## 入参
|
||||
|
||||
| 字段 | 类型 | 必填 | 默认 | 说明 |
|
||||
|---|---|---|---|---|
|
||||
| `longitude` | float | ✅ | — | 经度 |
|
||||
| `latitude` | float | ✅ | — | 纬度 |
|
||||
| `page` | int | ❌ | 1 | ≥1 |
|
||||
| `page_size` | int | ❌ | 20 | 1–20 |
|
||||
| `tab` | string | ❌ | `""` | `rec` 智能推荐 / `distance` 距离最近 / 空=默认混合 feed(老客户端兼容) |
|
||||
|
||||
> 销量最高(sales)tab **不在本接口**,走 [`/top-sales`](./meituan-top-sales.md)。
|
||||
|
||||
## 出参
|
||||
响应 `200`:`{ items: CouponCard[], has_next: bool, page: int }`。`CouponCard` 结构见 [API 索引](./README.md#复用数据结构)。
|
||||
响应 `200`:`{ items: CouponCard[], has_next: bool, page: int, status: "ok"|"empty"|"degraded" }`。`CouponCard` 结构见 [API 索引](./README.md#复用数据结构)。
|
||||
|
||||
### `status` 字段(前端据此显示占位)
|
||||
| 值 | 含义 | 前端建议 |
|
||||
|---|---|---|
|
||||
| `ok` | 有数据 | 正常渲染 |
|
||||
| `empty` | 后端正常、查询成功但确实没数据 | 显示「暂无优惠券」 |
|
||||
| `degraded` | 上游(美团)或库查询失败,已降级返空 | 显示「服务繁忙,下拉重试」 |
|
||||
|
||||
> 老客户端不读 `status`(字段缺省即兼容),仍可只按 `items` 是否为空展示。
|
||||
|
||||
## 各 tab 行为
|
||||
- **`rec` 智能推荐**:走【离线库 `meituan_coupon`】筛佣金率 ≥ 3%,`DISTINCT ON(dedup_key)` 去重后按销量降序分页。**纯库查询、不打美团、不依赖 MT 凭证**。库为空(prod 刚部署 / ETL 未跑完)→ `empty`;库异常 → `degraded`。**不显示距离**(库里距离相对城市默认点,对用户无意义)。
|
||||
- 为何不实时:实测同城热销榜中位佣金 ~0.8%,筛佣金≥3% 后每页剩 0–1 条,既撞 402 又填不满,故从库出;库空时也**不回退实时**(回退同样填不满)。
|
||||
- **`distance` 距离最近**:外卖搜「外卖」+ 到店搜「美食」(均 `sortField=6`),两路并行顺序翻页,实时按你坐标算距离、由近及远。两路**都失败**且无结果 → `degraded`;否则有结果 `ok` / 无结果 `empty`。
|
||||
- **默认(空 tab)**:逐轮分页的混合 feed(2 外卖 + 1 到店交叉,写死 3 页:爆款 / 今日必推 / 精选+限时),第 4 页返空。两路榜单都失败 → `degraded`。
|
||||
|
||||
## 错误码
|
||||
无(任何失败场景都返 200 + 空 items,见"说明"中的可观测性盲区)
|
||||
无业务级错误码:任何失败场景都返 `200` + 空 `items` + `status=degraded`(不再抛 5xx,避免前端弹报错 toast)。
|
||||
|
||||
## 说明
|
||||
后端在 `coupons` 之上封装的"伪推荐"——每页并发拉一次外卖、一次到店(到餐)榜单,按 **2 外卖 + 1 到店** 交叉去重。榜单组合写死 3 页(第1页爆款、第2页今日必推、第3页外卖精选+到店限时),**第 3 页起 `has_next=false`、第 4 页返空**。
|
||||
|
||||
**两种空结果路径**:
|
||||
- **未配置 `MT_CPS_APP_KEY/APP_SECRET`**:开头 `settings.mt_cps_configured` 判定后**直接返空**,完全不调美团
|
||||
- **已配置但美团调用失败**:`_fetch_topic` 的 `except MeituanCpsError` **静默返空**(不报 502、不打日志)
|
||||
|
||||
⚠️ **可观测性盲区**:两种路径在响应上**无法区分**。若 `items` 为空想区分:
|
||||
- 看 `settings.mt_cps_configured`(`/health` 接口有暴露此字段)→ 区分"配置缺失" vs "调用失败"
|
||||
- 改调 `coupons` 接口——它在"已配凭证但调用失败"时会 502 暴露错误细节(未配凭证它也降级返空,跟 feed 一致)
|
||||
## 兜底说明(1.0 内测)
|
||||
- rec / sales 是库查询:**prod 刚部署、ETL 首灌未完成**时库为空 → 返 `empty`。最佳实践是**开内测前先手动跑一次 ETL 灌满库**(见 `scripts/pull_meituan_coupons.py` 与 `deploy/meituan-etl.{service,timer}`)。
|
||||
- 未配 `MT_CPS_APP_KEY/SECRET` 时:`distance` / 默认 直接 `degraded`;`rec` 仍走库(配置开关不挡纯库查询)。
|
||||
|
||||
@@ -0,0 +1,23 @@
|
||||
# POST /api/v1/meituan/top-sales — 销量最高(离线库)
|
||||
|
||||
> 所属:美团 CPS 组(前缀 `/api/v1/meituan`,**全部无鉴权**) | 鉴权:无 | [← 返回 API 索引](./README.md)
|
||||
>
|
||||
> 数据来自离线库 [database/meituan_coupon](../database/meituan_coupon.md);**不实时打美团**(美团搜索对销量排序支持差、且有 402 限流)。
|
||||
|
||||
## 入参
|
||||
| 字段 | 类型 | 必填 | 默认 | 说明 |
|
||||
|---|---|---|---|---|
|
||||
| `page` | int | ❌ | 1 | ≥1 |
|
||||
| `page_size` | int | ❌ | 20 | 1–50 |
|
||||
| `platform` | int \| null | ❌ | null | 1 只外卖 / 2 只到店 / 不填=全部(全城销量) |
|
||||
|
||||
## 出参
|
||||
响应 `200`:`{ items: CouponCard[], has_next: bool, search_id: null, status: "ok"|"empty"|"degraded" }`。`CouponCard` 见 [API 索引](./README.md#复用数据结构);`status` 语义见 [feed 接口](./meituan-feed.md#status-字段前端据此显示占位)。
|
||||
|
||||
## 说明
|
||||
- 从 `meituan_coupon` 取 `sale_volume_num` 非空的券,`DISTINCT ON(dedup_key)` 跨源去重(每个「品牌|名|价」只留销量最高一条,同销量再按佣金),按销量降序分页;每页只对当前 ~20 条做 `from_raw` 解析(翻页快,不全表拉取)。
|
||||
- **不依赖 MT 凭证**(纯库查询)。库为空(prod 刚部署 / ETL 未跑完)→ `status=empty`;库查询异常 → `status=degraded`。均返 `200`、不抛 5xx。
|
||||
- **仅 PostgreSQL**(`DISTINCT ON` 为 PG 专用)。
|
||||
|
||||
## 错误码
|
||||
无业务级错误码:库空 / 异常都返 `200` + 空 `items` + 对应 `status`。
|
||||
Reference in New Issue
Block a user