Support monthly source rollover; update data - 8/29-8/31
The 2609 file carries only 8/31 and has no 投手 sheet, so build_data.py now globs every *每日数据-武汉萌奇熊.xlsx, merges 平台消耗统计 per date (newer filename wins for a repeated date), and takes the roster from the newest file that still has a 投手 sheet. Future month rollovers need no code change. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
FANGKK
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@@ -5,10 +5,14 @@
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# 规则：@某某 == 某某；未填投放人的 Adpingid 丢弃；
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# exclude.json 的 packages（按包名）与 adpings（按 Adpingid）永久剔除，均为精确匹配。
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# 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。
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import openpyxl, collections, json, datetime, os, sys
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import openpyxl, collections, json, datetime, os, sys, glob
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HERE = os.path.dirname(os.path.abspath(__file__))
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SRC = os.path.join(HERE, '2608每日数据-武汉萌奇熊.xlsx')
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# 源文件按月滚动（2608 -> 2609 -> ...）。全部读进来合并：
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# 同一天出现在多个文件时，以文件名较新的为准（源表会修订历史数据）。
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SRC_FILES = sorted(glob.glob(os.path.join(HERE, '*每日数据-武汉萌奇熊.xlsx')))
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if not SRC_FILES:
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sys.exit('ERROR: 仓库里找不到 *每日数据-武汉萌奇熊.xlsx')
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_cfg = json.load(open(os.path.join(HERE, 'exclude.json')))
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EXCL = set(_cfg['packages']) # 按包名剔除
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EXCL_ADP = set(_cfg.get('adpings', {})) # 按 Adpingid 剔除
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@@ -20,12 +24,20 @@ def key(v):
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return str(int(v))
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return str(v).strip()
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wb = openpyxl.load_workbook(SRC, data_only=True)
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books = [(f, openpyxl.load_workbook(f, data_only=True)) for f in SRC_FILES]
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# --- 投手表：取最新一个带「投手」sheet 的文件（月度文件可能不含该表）---
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roster_file, roster = None, None
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for f, wb_ in reversed(books):
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if '投手' in wb_.sheetnames:
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roster_file, roster = f, wb_['投手']
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break
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if roster is None:
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sys.exit('ERROR: 所有源文件都没有「投手」sheet，无法归属投放人')
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# --- 投手表：Adpingid -> 投放人 ---
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amap = {}
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dropped_ids = set(EXCL_ADP) # 先纳入按 Adpingid 剔除的，再补上按包名命中的
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for r in wb['投手'].iter_rows(min_row=2, values_only=True):
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for r in roster.iter_rows(min_row=2, values_only=True):
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adp, pkg, buyer, status = r[1], r[3], r[11], r[0]
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if adp is None or str(status).strip() == '示例':
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continue
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@@ -42,9 +54,13 @@ for r in wb['投手'].iter_rows(min_row=2, values_only=True):
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owned = collections.Counter(amap.values()) # 每位投手名下的 Adpingid 数（已扣除排除包名）
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# --- 平台消耗统计 ---
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rows = []
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for r in wb['平台消耗统计'].iter_rows(min_row=2, values_only=True):
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# --- 平台消耗统计：逐文件读取，按日期归组，新文件覆盖同一天的旧数据 ---
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by_date = {}
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for f, wb_ in books:
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if '平台消耗统计' not in wb_.sheetnames:
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continue
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day = collections.defaultdict(list)
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for r in wb_['平台消耗统计'].iter_rows(min_row=2, values_only=True):
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d, adp, pkg, geo, spend = r[1], r[2], r[3], r[4], r[8]
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if d is None or adp is None or not isinstance(d, datetime.datetime):
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continue
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@@ -52,9 +68,11 @@ for r in wb['平台消耗统计'].iter_rows(min_row=2, values_only=True):
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s = float(spend) if spend is not None else 0.0
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except (TypeError, ValueError):
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s = 0.0
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rows.append((d.date(), key(adp), (str(pkg).strip() if pkg else '(未知)'),
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day[d.date()].append((d.date(), key(adp), (str(pkg).strip() if pkg else '(未知)'),
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(str(geo).strip() if geo else ''), s))
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by_date.update(day) # books 已按文件名升序，后者覆盖前者
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rows = [r for day_rows in by_date.values() for r in day_rows]
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if not rows:
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sys.exit('ERROR: 平台消耗统计 无有效数据行')
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@@ -132,6 +150,8 @@ data = {
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}
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json.dump(data, open(os.path.join(HERE, 'data.json'), 'w'), ensure_ascii=False, indent=2)
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print('源文件:', ', '.join(os.path.basename(f) for f in SRC_FILES))
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print('投手表取自:', os.path.basename(roster_file))
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print(f"窗口 {start} -> {end}")
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print(f"排除包名命中 {excluded_rows} 行，剔除花费 {excluded_spend:.2f}")
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print(f"合计 {data['grand_total']:.2f} / Adpingid {data['week34_id_count']}")
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@@ -1,19 +1,19 @@
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{
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"meta": {
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"week": "Last 3 Days: 8/28-8/30",
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"week": "Last 3 Days: 8/29-8/31",
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"source": "萌奇熊日报",
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"generated_at": "2026-08-31",
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"date_range": "2026/08/28-2026/08/30",
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"generated_at": "2026-09-01",
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"date_range": "2026/08/29-2026/08/31",
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"note": "投放人以「投手」表 Media Buyer 列为准，@某某 已与某某合并计算；未填写投放人的 Adpingid 不计入；exclude.json 所列包名已排除。Package 后缀为该 Package 花费最高的投放地区，Adpingid 为该地区内花费最高的 Adping。"
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},
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"grand_total": 11581.3293,
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"week34_id_count": 123,
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"grand_total": 11872.5278,
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"week34_id_count": 119,
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"buyers": [
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{
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"name": "黄政",
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"@name": "黄政",
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"total": 3344.4122,
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"active_ids": 32,
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"total": 3480.3241,
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"active_ids": 31,
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"owned_ids": 133,
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"pkgs": [
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{
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@@ -21,42 +21,42 @@
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"geo": "SA",
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"label": "com.amazon.mShop.android.shopping_SA",
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"adping": "2732727",
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"spend": 1145.5168
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"spend": 1220.3056
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},
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{
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"pkg": "com.king.candycrushsodasaga",
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"geo": "BR",
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"label": "com.king.candycrushsodasaga_BR",
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"adping": "8460883",
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"spend": 1098.694
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"geo": "DE",
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"label": "com.king.candycrushsodasaga_DE",
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"adping": "6951594",
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"spend": 1089.63
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},
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{
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"pkg": "com.yandex.lavka",
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"geo": "RU",
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"label": "com.yandex.lavka_RU",
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"adping": "8156506",
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"spend": 360.9953
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"spend": 340.0207
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},
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{
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"pkg": "com.fxpro.direct.application",
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"geo": "PK",
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"label": "com.fxpro.direct.application_PK",
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"adping": "7202934",
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"spend": 234.09
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"spend": 233.96
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},
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{
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"pkg": "ru.banki.banki",
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"pkg": "tech.jm",
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"geo": "RU",
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"label": "ru.banki.banki_RU",
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"adping": "91548044",
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"spend": 137.5186
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"label": "tech.jm_RU",
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"adping": "1745925",
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"spend": 156.7521
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}
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]
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},
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{
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"name": "万科",
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"@name": "万科",
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"total": 2426.0128,
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"total": 2318.8753,
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"active_ids": 24,
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"owned_ids": 112,
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"pkgs": [
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@@ -65,42 +65,42 @@
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"geo": "TH",
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"label": "com.king.candycrushsaga_TH",
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"adping": "5497580",
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"spend": 1059.413
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"spend": 968.234
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},
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{
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"pkg": "ru.aliexpress.buyer",
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"geo": "RU",
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"label": "ru.aliexpress.buyer_RU",
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"adping": "6607117",
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"spend": 953.539
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"spend": 938.279
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},
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{
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"pkg": "ru.mobstudio.andgalaxy",
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"geo": "RU",
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"label": "ru.mobstudio.andgalaxy_RU",
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"adping": "7953512",
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"spend": 152.69
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"spend": 144.16
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},
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{
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"pkg": "ru.kinopoisk",
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"geo": "RU",
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"label": "ru.kinopoisk_RU",
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"adping": "10599681",
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"spend": 126.88
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"spend": 126.23
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},
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{
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"pkg": "com.edadeal.android",
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"geo": "RU",
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"label": "com.edadeal.android_RU",
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"adping": "10599157",
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"spend": 81.2
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"spend": 85.55
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}
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]
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},
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{
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"name": "谭超",
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"@name": "谭超",
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"total": 2250.706,
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"total": 2311.848,
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"active_ids": 23,
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"owned_ids": 124,
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"pkgs": [
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@@ -109,43 +109,43 @@
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"geo": "ID",
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"label": "com.kwai.bulldog_ID",
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"adping": "7815836",
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"spend": 1148.97
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"spend": 1149.95
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},
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{
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"pkg": "com.vitastudio.mahjong",
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"geo": "ID",
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"label": "com.vitastudio.mahjong_ID",
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"adping": "91467820",
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"spend": 465.14
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"spend": 519.33
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},
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{
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"pkg": "astrum.ent.m2alyona",
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"geo": "RU",
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"label": "astrum.ent.m2alyona_RU",
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"adping": "11690181",
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"spend": 273.82
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"spend": 263.12
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},
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{
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"pkg": "tech.jm",
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"geo": "RU",
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"label": "tech.jm_RU",
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"adping": "9297014",
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"spend": 116.73
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"spend": 196.63
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},
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{
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"pkg": "in.startv.hotstar.dplus",
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"geo": "ID",
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"label": "in.startv.hotstar.dplus_ID",
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"adping": "9096620",
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"spend": 71.95
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"spend": 73.74
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}
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]
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},
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{
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"name": "周梓君",
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"@name": "周梓君",
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"total": 1860.5323,
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"active_ids": 27,
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"total": 1954.4797,
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"active_ids": 26,
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"owned_ids": 119,
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"pkgs": [
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{
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@@ -153,14 +153,14 @@
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"geo": "KZ",
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"label": "ru.ozon.app.android_KZ",
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"adping": "5963354",
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"spend": 974.2013
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"spend": 1000.9987
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},
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{
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"pkg": "ru.kinopoisk",
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"geo": "RU",
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"label": "ru.kinopoisk_RU",
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"adping": "8291713",
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"spend": 575.96
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"spend": 630.0
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},
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{
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"pkg": "com.edadeal.android",
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@@ -174,22 +174,22 @@
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"geo": "RU",
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"label": "com.yandex.bank_RU",
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"adping": "2937658",
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"spend": 65.721
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"spend": 75.981
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},
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{
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"pkg": "com.appteka.lapy",
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"geo": "RU",
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"label": "com.appteka.lapy_RU",
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"adping": "5623760",
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"spend": 17.2
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"spend": 21.2
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}
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]
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},
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{
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"name": "詹涵粤",
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"@name": "詹涵粤",
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"total": 1699.666,
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"active_ids": 17,
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"total": 1807.0007,
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"active_ids": 15,
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"owned_ids": 144,
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"pkgs": [
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{
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@@ -197,50 +197,50 @@
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"geo": "MY",
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"label": "com.king.candycrushsaga_MY",
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"adping": "5464039",
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"spend": 1144.35
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"spend": 1154.11
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},
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{
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"pkg": "com.esprit.rpg.lttlefirykng",
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"geo": "RU",
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"label": "com.esprit.rpg.lttlefirykng_RU",
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"adping": "10514860",
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"spend": 311.45
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"spend": 359.1
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},
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{
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"pkg": "com.reefgames.fabletown",
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"geo": "RU",
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"label": "com.reefgames.fabletown_RU",
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"adping": "91532857",
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"spend": 70.9804
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},
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{
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"pkg": "net.peakgames.Yuzbir",
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"geo": "TR",
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"label": "net.peakgames.Yuzbir_TR",
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"adping": "91550293",
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"spend": 38.75
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"spend": 63.8392
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},
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{
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"pkg": "com.netease.newspike",
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"geo": "US",
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"label": "com.netease.newspike_US",
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"adping": "91551388",
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"spend": 36.6713
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"spend": 62.3091
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},
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{
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"pkg": "net.peakgames.Yuzbir",
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"geo": "TR",
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"label": "net.peakgames.Yuzbir_TR",
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"adping": "91550293",
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"spend": 45.85
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}
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]
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}
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],
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"unmatched": [
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{
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"adping": "11729927",
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"pkg": "com.amazon.mShop.android.shopping",
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"spend": 13.5
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},
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{
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"adping": "11729830",
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"pkg": "com.amazon.mShop.android.shopping",
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"spend": 0.002
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},
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{
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"adping": "11729927",
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"pkg": "com.amazon.mShop.android.shopping",
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"spend": 0.0
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},
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{
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"adping": "11729820",
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"pkg": "com.amazon.mShop.android.shopping",
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