Add permanent Adpingid-level exclusions

exclude.json gains an "adpings" map (18 ids, value = package for
reference) alongside the existing package list. build_data.py drops those
Adpingids from both the 投手 ownership counts and the spend rows.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

build_data.py

@@ -2,13 +2,16 @@
 # 从 xlsx 重算 data.json。
 #   平台消耗统计: B=Date, C=Adpingid, D=包名, E=地区, I=花费
 #   投手:        B=Adpingid, D=pkg, L=Media Buyer投放人
-# 规则：@某某 == 某某；未填投放人的 Adpingid 丢弃；exclude.json 里的包名永久剔除（精确匹配）。
+# 规则：@某某 == 某某；未填投放人的 Adpingid 丢弃；
+#       exclude.json 的 packages（按包名）与 adpings（按 Adpingid）永久剔除，均为精确匹配。
 # 每个 package 明细：Geo 后缀 = 该 package 花费最高的地区；Adpingid = 该地区内花费最高的 Adping。
 import openpyxl, collections, json, datetime, os, sys
 
 HERE = os.path.dirname(os.path.abspath(__file__))
 SRC  = os.path.join(HERE, '2608每日数据-武汉萌奇熊.xlsx')
-EXCL = set(json.load(open(os.path.join(HERE, 'exclude.json')))['packages'])
+_cfg = json.load(open(os.path.join(HERE, 'exclude.json')))
+EXCL      = set(_cfg['packages'])            # 按包名剔除
+EXCL_ADP  = set(_cfg.get('adpings', {}))     # 按 Adpingid 剔除
 NON_BUYER = {'GP下架'}
 WINDOW_DAYS = 3
 
@@ -20,12 +23,15 @@ def key(v):
 wb = openpyxl.load_workbook(SRC, data_only=True)
 
 # --- 投手表：Adpingid -> 投放人 ---
-amap, dropped_ids = {}, set()
+amap = {}
+dropped_ids = set(EXCL_ADP)   # 先纳入按 Adpingid 剔除的，再补上按包名命中的
 for r in wb['投手'].iter_rows(min_row=2, values_only=True):
     adp, pkg, buyer, status = r[1], r[3], r[11], r[0]
     if adp is None or str(status).strip() == '示例':
         continue
     k = key(adp)
+    if k in EXCL_ADP:
+        continue
     if pkg is not None and str(pkg).strip() in EXCL:   # 精确匹配，避免误伤 in.swiggy.android
         dropped_ids.add(k)
         continue