新增美团 CPS 券定时抓取入库(北京试点),作为"销量/佣金排序"的本地数据源 (#18)

背景:美团搜索/供给对销量排序支持差(实测乱序)、且有 402 限流和单次召回上限,不适合
每次实时打接口排序。改为定时把券抓进本地 meituan_coupon 表,查询时从库里捞、自己按
销量/佣金排。

本次内容:
- app/models/meituan_coupon.py:新表模型。字段尽量全(售价/原价/销量档/佣金率/佣金额/
  门店/距离/品牌/图 等),raw 列存整条原始返回避免漏字段;(source, product_view_sign) 唯一。
- alembic/versions/meituan_coupon_table.py:建表迁移(挂在 withdraw_review_ad_watch 之后)。
- scripts/pull_meituan_coupons.py:ETL,抓 3 路并按 (source, product_view_sign) upsert:
  1) 外卖·搜"外卖"(platform=1)翻到尽头
  2) 外卖·搜"美食"(platform=1)翻到尽头
  3) 到店·多业务线供给(到餐+到综+酒店+门票)翻到尽头
  支持 --once(单轮,给 cron;线上每 1h)/ --loop --interval(本地循环,默认 10min)
  + 运行锁防重叠 + --prune-hours 清理陈旧券(默认 24h)。
- app/models/__init__.py:注册新模型。

实测:北京一轮约 2.5 分钟、入库约 2700 条;销量/佣金可直接从库里排序。

给接手同事:
- 仅北京(city_id 固定);v2 再加 per商圈 union 突破全城单次召回上限。
- 销量仅粗档位且约 51% 的券才有,查询需 WHERE sale_volume_num IS NOT NULL
  (PG 的 DESC 默认把 NULL 排最前);佣金、价格 100% 有值。
- productViewSign/skuViewId 跨渠道会变,不能当全局 id;跨源去重用 dedup_key=md5(品牌|名|价)。
- 待做:查询接口(从库捞 + dedup_key 去重 + 按销量/佣金排,返回前端)。

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

---------

Co-authored-by: chenshuobo <1119780489@qq.com>
Reviewed-on: #18
This commit was merged in pull request #18.
This commit is contained in:
2026-06-08 00:16:25 +08:00
parent 766666601e
commit ece41086cd
10 changed files with 612 additions and 5 deletions
+75 -4
View File
@@ -7,10 +7,14 @@ from __future__ import annotations
import logging
from concurrent.futures import ThreadPoolExecutor, as_completed
from fastapi import APIRouter, HTTPException
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy import select
from sqlalchemy.orm import Session
from app.core.config import settings
from app.db.session import get_db
from app.integrations.meituan import MeituanCpsError, get_referral_link, query_coupon
from app.models.meituan_coupon import MeituanCoupon
from app.schemas.meituan import (
CouponCard,
CouponListRequest,
@@ -19,6 +23,7 @@ from app.schemas.meituan import (
FeedResponse,
ReferralLinkRequest,
ReferralLinkResponse,
TopSalesRequest,
)
logger = logging.getLogger("shagua.meituan")
@@ -79,13 +84,21 @@ def _interleave(waimai: list[dict], daodian: list[dict]) -> list[CouponCard]:
return items
@router.post("/feed", response_model=FeedResponse, summary="混合feed(外卖+到店交叉, 无限流)")
def _commission_pct(card: CouponCard) -> float:
"""'1.4%' → 1.4;解析失败按 0(会被智能推荐过滤掉)。"""
try:
return float(card.commission_rate.rstrip("%"))
except (ValueError, AttributeError):
return 0.0
@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")
def feed(req: FeedRequest) -> FeedResponse:
if not settings.mt_cps_configured:
return FeedResponse(items=[], has_next=False, page=req.page)
page_idx = req.page - 1
lon, lat = req.longitude, req.latitude
logger.info("[feed] page=%s lon=%.6f lat=%.6f", req.page, lon, lat)
tab = (req.tab or "").strip()
logger.info("[feed] tab=%s page=%s lon=%.6f lat=%.6f", tab or "(default)", req.page, lon, lat)
def _fetch_topic(platform: int, biz_line: int | None, topic: int) -> list[dict]:
try:
@@ -97,6 +110,28 @@ def feed(req: FeedRequest) -> FeedResponse:
except MeituanCpsError:
return []
# 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。
# (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。)
if tab == "distance":
with ThreadPoolExecutor(max_workers=len(_TOPIC_ROUNDS) * 2) as pool:
futs = []
for wm_topic, dd_topic in _TOPIC_ROUNDS:
futs.append(pool.submit(_fetch_topic, 1, None, wm_topic))
futs.append(pool.submit(_fetch_topic, 2, 1, dd_topic))
raws = [f.result() for f in futs]
seen: set[str] = set()
cards: list[CouponCard] = []
for raw_list in raws:
for it in raw_list:
card = CouponCard.from_raw(it)
if card.product_view_sign and card.product_view_sign not in seen:
seen.add(card.product_view_sign)
cards.append(card)
cards.sort(key=lambda c: c.distance_meters if c.distance_meters is not None else float("inf"))
return FeedResponse(items=cards, has_next=False, page=1)
# 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%。
page_idx = req.page - 1
if page_idx >= len(_TOPIC_ROUNDS):
return FeedResponse(items=[], has_next=False, page=req.page)
@@ -107,6 +142,8 @@ def feed(req: FeedRequest) -> FeedResponse:
waimai, daodian = f_wm.result(), f_dd.result()
items = _interleave(waimai, daodian)
if tab == "rec":
items = [c for c in items if _commission_pct(c) >= 3.0]
has_next = page_idx + 1 < len(_TOPIC_ROUNDS)
return FeedResponse(items=items, has_next=has_next, page=req.page)
@@ -130,3 +167,37 @@ def referral_link(req: ReferralLinkRequest) -> ReferralLinkResponse:
link_map = raw.get("referralLinkMap") or {}
link = raw.get("data") or link_map.get("1") or link_map.get("3") or next(iter(link_map.values()), "")
return ReferralLinkResponse(link=link, link_map=link_map)
@router.post("/top-sales", response_model=CouponListResponse,
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)")
def top_sales(req: TopSalesRequest, db: Session = Depends(get_db)) -> CouponListResponse:
# 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
stmt = select(MeituanCoupon).where(MeituanCoupon.sale_volume_num.isnot(None))
if req.platform is not None:
stmt = stmt.where(MeituanCoupon.platform == req.platform)
stmt = stmt.order_by(
MeituanCoupon.sale_volume_num.desc(),
MeituanCoupon.commission_percent.desc(),
)
rows = db.execute(stmt).scalars().all()
# 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)。
# 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。
seen: set[str] = set()
cards: list[CouponCard] = []
for row in rows:
if row.dedup_key in seen:
continue
seen.add(row.dedup_key)
try:
card = CouponCard.from_raw(row.raw or {})
except Exception: # noqa: BLE001
continue
if card.product_view_sign:
cards.append(card)
start = (req.page - 1) * req.page_size
page_items = cards[start:start + req.page_size]
has_next = start + req.page_size < len(cards)
return CouponListResponse(items=page_items, has_next=has_next, search_id=None)