commit eb392ec47ef3683294588019877429500b748356 Author: SHAREit Date: Mon Aug 31 14:19:00 2026 +0800 Publish top10 KA FFR report diff --git a/accounts.json b/accounts.json new file mode 100644 index 0000000..57d3c82 --- /dev/null +++ b/accounts.json @@ -0,0 +1,139 @@ +{ + "_说明": "top10-ffr 报表配置。每个 account 生成一个 tab；campaigns 为该 KA 下的投放单元。", + "_口径": "各日报表的 Daily Spend / Spend / Cost 均为客户口径消耗，即我们的 Revenue；Cost 取 Sands，GP = Revenue − Cost。", + "target_spreadsheet_id": "1Bnt94y2ri3ISxF07tbzfVOLKfxaHAo__swNhmSOdccw", + "target_gid": 0, + "sheets": { + "shared": "1KaNOwaZ3DqjTXRK8XhF1OGF9qUmOh0NLXOgxVrh14h0", + "king": "1zb6UR9d9j5Xn3ip6LcWEAsXBjLuPhaaQCXXI7C0gyg0", + "performdm": "1qSke7u_PlzUJc23C6Vg-AUfXEDATGiq4nOc8CBbiv-E", + "caliente": "15Ljge41IyTzsYWlsHHwwEYdnV_7lrfgfu_I9t200his", + "amazon": "1mfrPyev9L9KQ7U6ai6yxtposZgHNSZSB9HydZ2zmVIM" + }, + "accounts": [ + { + "key": "king", + "name": "King", + "target_ka": "king", + "layout": "king", + "pkgs": ["com.king.candycrushsaga", "com.king.candycrushsodasaga"], + "sources": { + "sheet": "king", + "client_gid": 0, + "cost_gid": 1217689915 + } + }, + { + "key": "amazon", + "name": "Amazon", + "target_ka": "amazon", + "layout": "mixed", + "pkgs": ["com.amazon.mShop.android.shopping"], + "sources": { + "report_url": "https://ops.roasbloom.site/zouyun-amazon-za-daily-report/data.json", + "revenue_field": "payable_spend", + "install_field": "install", + "campaign_name": "Amazon ZA" + }, + "campaigns": [ + {"name": "Amazon MENA", "sheet": "amazon", "gid": 917373507, "pkg": "com.amazon.mShop.android.shopping", + "header_row": 11, "date_col": "B", + "install_col": ["D", "Q", "AD", "AT"], + "revenue_col": ["I", "V", "AI", "AY"], + "_备注": "MENA 多地区并排，Install 与美元 Revenue 均为多列求和"}, + {"name": "Amazon BR", "sheet": "amazon", "gid": 117168695, "pkg": "com.amazon.mShop.android.shopping", + "header_row": 10, "install_col": "D", "revenue_col": "R", + "_备注": "M 列为 spend R$（巴西币），R 列为美元，取 R"} + ] + }, + { + "key": "ae", + "name": "AE", + "target_ka": "ae", + "layout": "campaign_sheets", + "pkgs": ["ru.aliexpress.buyer"], + "campaigns": [ + {"name": "AliExpress", "sheet": "shared", "gid": 650573903, "pkg": "ru.aliexpress.buyer"} + ] + }, + { + "key": "vk", + "name": "VK", + "target_ka": "vk", + "layout": "campaign_sheets", + "pkgs": ["ru.mail.cloud", "com.vk.love", "com.uma.musicvk"], + "campaigns": [ + {"name": "MailCloud", "sheet": "shared", "gid": 1961807506, "pkg": "ru.mail.cloud"}, + {"name": "VkLove", "sheet": "shared", "gid": 1938899781, "pkg": "com.vk.love"}, + {"name": "VKmusic", "sheet": "shared", "gid": 1326460173, "pkg": "com.uma.musicvk"} + ] + }, + { + "key": "yandex", + "name": "Yandex", + "target_ka": "yandex", + "layout": "campaign_sheets", + "pkgs": ["com.yandex.bank", "com.yandex.lavka", "ru.yandex.weatherplugin"], + "campaigns": [ + {"name": "YandexBank", "sheet": "shared", "gid": 67392848, "pkg": "com.yandex.bank"}, + {"name": "YandexLavka", "sheet": "shared", "gid": 626239503, "pkg": "com.yandex.lavka"}, + {"name": "YandexWeather", "sheet": "shared", "gid": 1451085739, "pkg": "ru.yandex.weatherplugin"} + ] + }, + { + "key": "performdm", + "name": "PerformDM", + "target_ka": "performdm", + "layout": "campaign_sheets", + "pkgs": ["za.co.nedbank", "capitecbank.co.za"], + "campaigns": [ + {"name": "Nedbank", "sheet": "performdm", "gid": 1621007637, "pkg": "za.co.nedbank", + "header_row": 2, "revenue_col": "M", "_备注": "Spends USD 在 M 列"}, + {"name": "CapitecFuneral", "sheet": "performdm", "gid": 1865192528, "pkg": "capitecbank.co.za", + "header_row": 2, "date_col": "A", "install_col": "D", "revenue_col": "J", + "metric_label": "Impression", + "_备注": "CPM 单：D 列为 Impression（非 Install），J 列为 cost"} + ] + }, + { + "key": "caliente", + "name": "Caliente", + "target_ka": "caliente", + "layout": "campaign_sheets", + "pkgs": ["sports.caliente.mx.calientedeportes"], + "campaigns": [ + {"name": "Caliente", "sheet": "caliente", "gid": 68602299, "pkg": "sports.caliente.mx.calientedeportes", + "header_row": 14, "date_col": "B", "install_col": "E", "revenue_col": "L", + "_备注": "日期为 B 列 Dt；A 列是年月不可用；Revenue 取 L 列 cost"} + ] + }, + { + "key": "joom", + "name": "Joom", + "target_ka": "joom", + "layout": "campaign_sheets", + "pkgs": ["tech.jm"], + "campaigns": [ + {"name": "Joom", "sheet": "shared", "gid": 1582829999, "pkg": "tech.jm"} + ] + }, + { + "key": "xbet", + "name": "1xbet", + "target_ka": "xbet", + "layout": "placeholder", + "note": "本月几乎无数据，暂不接入", + "pkgs": [], + "campaigns": [] + }, + { + "key": "casasbahia", + "name": "Casas Bahia", + "target_ka": "cacas bahia", + "layout": "placeholder", + "note": "暂不接入", + "pkgs": [], + "campaigns": [] + } + ] +} diff --git a/data.json b/data.json new file mode 100644 index 0000000..b81ec79 --- /dev/null +++ b/data.json @@ -0,0 +1,5525 @@ +{ + "title": "Top10 KA · 当月 FFR 与 GP", + "generated_at": "2026-08-31T14:17:59+08:00", + "timezone": "Asia/Shanghai", + "period": { + "start": "2026-08-01", + "end": "2026-08-30", + "days": 30, + "month_days": 31, + "time_progress_percent": 96.77 + }, + "sands": { + "fetched_at": "2026-08-27T15:20:08+08:00", + "source_url": "https://sands.hellay.net/#/newSanReports2", + "by_pkg": { + "com.amazon.mShop.android.shopping": 69674.2724, + "com.king.candycrushsaga": 34539.5205, + "ru.aliexpress.buyer": 30934.4199, + "com.yandex.bank": 20607.7902, + "com.kwai.bulldog": 17520.2603, + "ru.yandex.music": 15821.7703, + "ru.ozon.app.android": 15505.6402, + "ru.kinopoisk": 15395.2806, + "com.king.candycrushsodasaga": 14803.2499, + "com.edadeal.android": 14470.1203, + "sports.caliente.mx.calientedeportes": 13767.0799, + "asrtum.ent.domovyata": 9106.6199, + "story.tv.drama.reels": 8948.0703, + "com.fxpro.direct.application": 7419.5101, + "ru.mail.cloud": 7071.56, + "com.krom.android": 6758.07, + "ru.yandex.weatherplugin": 6005.8499, + "tech.jm": 5796.11, + "com.yandex.lavka": 5716.9501, + "com.master.learn.ai": 5220.38, + "in.startv.hotstar.dplus": 3717.03, + "com.vk.love": 3232.9601, + "ru.mobstudio.andgalaxy": 2905.92, + "com.peramoo": 2603.81, + "com.wings.bene.ph": 2441.7701, + "com.gloriajeans.mobile": 1976.73, + "com.appteka.lapy": 1891.09, + "com.betsoftware.hwpremiumwrapped": 1762.3001, + "com.nagwa.classes": 1717.61, + "prod6932870983.app_ckbg3pkrh1.com": 1605.33, + "ru.rosfines.android": 1586.78, + "com.esprit.rpg.lttlefirykng": 1535.4, + "com.policybazaar": 1529.27, + "ph.com.bdo.pay": 1430.85, + "com.uma.musicvk": 1415.3, + "com.esprit.rpg.cntrctfft": 1308.3, + "com.disneyplus.ph": 1288.74, + "com.notissimus.allinstruments.android": 1077.55, + "com.intellihealth.truemeds": 886.2, + "com.seatech.bluebird": 820.8, + "com.tencent.ig": 718.003, + "com.foreigncurrency.internationalfxeye": 635.13, + "com.winaxis.arionplayandroidapp": 583.54, + "com.lendingplate": 529.66, + "com.moneydd.goodmoney": 517.74, + "ru.uteka.app": 516.72, + "com.mukuru.customer.android": 475.8, + "com.reels.cash.video.app": 447.36, + "ph.com.peso.fast.loan.android": 396.4, + "com.finaccel.android": 379.2, + "com.cash.credit.marikaya": 363.41, + "com.mvp789.com2": 360.22, + "astrum.ent.m2alyona": 360.0, + "com.optimuslinkcatalog.freepdfmaker": 335.84, + "com.mocamoca": 314.05, + "com.pinjamango": 311.4, + "com.yogame.com": 285.5, + "com.ic.ek77_85": 276.9, + "com.pesokuwento.lending.olp.ph": 250.42, + "mx.prestamos.urgente.dinero.online.peso.viva.credito.rapido": 218.3, + "com.fxroyale.app": 202.4, + "com.lucky.fishing.ph": 198.82, + "com.espritgames.rpg.dragon.egg": 186.52, + "com.quick.loan.center.vay.mau": 183.0, + "prod3968651864.app_as777bdtf6.com": 117.06, + "com.rkgg.com2": 82.97, + "com.astro.shop": 77.2, + "com.fgrsdakiufvgds.triunjvbggew": 71.27, + "com.alibaba.aliexpresshd": 70.4, + "com.pinjoy.game.app": 42.85, + "com.hwsj.club": 40.9, + "com.loan.cash.easy.paisaghur": 36.24, + "com.kubi.kucoin": 34.35, + "com.apptool.track.tallyup": 32.37, + "com.trademaxaustralia.tmgm": 30.0, + "pk.pakrummy25.app": 25.34, + "uiendfskjn.nzqifdgdpld.bxcvuwhe": 22.0, + "com.mintq.gocash": 18.0, + "com.iqoption": 17.92, + "com.ravi36.castr5": 17.25, + "com.nextbillion.groww": 14.21, + "com.whizdm.moneyview.loans": 13.75, + "hb.xinxinxr.vip": 13.3, + "com.espritgames.rpg.chsrgn": 11.0, + "prod0151334412.app_m6myrh1.com": 9.29, + "pk.pakrummy24.app": 7.5, + "com.id3hot128.ntla71": 3.3, + "com.lalamove.global.driver.sea": 3.3, + "com.clipcd.clipgo": 3.1, + "com.playmate.playzone": 3.0, + "com.jar.app": 2.88, + "org.telegram.messenger.web": 2.1, + "com.dearmart.app": 1.9, + "in.upstox.app": 1.2, + "com.lk9898.com": 0.9, + "com.unacademyapp": 0.78, + "com.money.credit.pilot.fin.app": 0.75, + "com.remi62.app7": 0.6, + "com.id6javo88.ntla59": 0.5, + "com.levelinfinite.sgameGlobal": 0.5 + }, + "total_cost": 371692.5781 + }, + "totals": { + "installs": 1082314.0, + "impressions": 663033.0, + "revenue": 675232.93, + "cost": 213565.0629, + 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+ "campaign": "Caliente", + "metric": "install", + "installs": 771.0, + "impressions": 0, + "revenue": 1542.0 + }, + { + "date": "2026-08-11", + "campaign": "Caliente", + "metric": "install", + "installs": 714.0, + "impressions": 0, + "revenue": 1428.0 + }, + { + "date": "2026-08-12", + "campaign": "Caliente", + "metric": "install", + "installs": 675.0, + "impressions": 0, + "revenue": 1350.0 + }, + { + "date": "2026-08-13", + "campaign": "Caliente", + "metric": "install", + "installs": 288.0, + "impressions": 0, + "revenue": 576.0 + }, + { + "date": "2026-08-14", + "campaign": "Caliente", + "metric": "install", + "installs": 361.0, + "impressions": 0, + "revenue": 722.0 + }, + { + "date": "2026-08-15", + "campaign": "Caliente", + "metric": "install", + "installs": 314.0, + "impressions": 0, + "revenue": 628.0 + }, + { + "date": "2026-08-16", + "campaign": "Caliente", + "metric": "install", + "installs": 392.0, + "impressions": 0, + "revenue": 784.0 + }, + { + "date": "2026-08-17", + "campaign": "Caliente", + "metric": "install", + "installs": 414.0, + "impressions": 0, + "revenue": 828.0 + }, + { + "date": "2026-08-18", + "campaign": "Caliente", + "metric": "install", + "installs": 413.0, + "impressions": 0, + "revenue": 826.0 + }, + { + "date": "2026-08-19", + "campaign": "Caliente", + "metric": "install", + "installs": 320.0, + "impressions": 0, + "revenue": 640.0 + }, + { + "date": "2026-08-20", + "campaign": "Caliente", + "metric": "install", + "installs": 323.0, + "impressions": 0, + "revenue": 646.0 + }, + { + "date": "2026-08-21", + "campaign": "Caliente", + "metric": "install", + "installs": 332.0, + "impressions": 0, + "revenue": 664.0 + }, + { + "date": "2026-08-22", + "campaign": "Caliente", + "metric": "install", + "installs": 447.0, + "impressions": 0, + "revenue": 894.0 + }, + { + "date": "2026-08-23", + "campaign": "Caliente", + "metric": "install", + "installs": 395.0, + "impressions": 0, + "revenue": 790.0 + }, + { + "date": "2026-08-24", + "campaign": "Caliente", + "metric": "install", + "installs": 268.0, + "impressions": 0, + "revenue": 536.0 + }, + { + "date": "2026-08-25", + "campaign": "Caliente", + "metric": "install", + "installs": 239.0, + "impressions": 0, + "revenue": 478.0 + }, + { + "date": "2026-08-26", + "campaign": "Caliente", + "metric": "install", + "installs": 307.0, + "impressions": 0, + "revenue": 614.0 + }, + { + "date": "2026-08-27", + "campaign": "Caliente", + "metric": "install", + "installs": 301.0, + "impressions": 0, + "revenue": 602.0 + }, + { + "date": "2026-08-28", + "campaign": "Caliente", + "metric": "install", + "installs": 292.0, + "impressions": 0, + "revenue": 584.0 + }, + { + "date": "2026-08-29", + "campaign": "Caliente", + "metric": "install", + "installs": 452.0, + "impressions": 0, + "revenue": 904.0 + }, + { + "date": "2026-08-30", + "campaign": "Caliente", + "metric": "install", + "installs": 331.0, + "impressions": 0, + "revenue": 662.0 + } + ] + }, + { + "key": "joom", + "name": "Joom", + "layout": "campaign_sheets", + "note": "", + "pkgs": [ + "tech.jm" + ], + "data_cutoff": null, + "actual": { + "installs": 42744.0, + "impressions": 0, + "revenue": 13250.64, + "cost": 5796.11, + "gp": 7454.53, + "gp_rate": 56.26 + }, + "target": { + "revenue": 12682.0, + "gp": 6341.0, + "gp_rate": 50.0 + }, + "completion": { + "revenue": 104.48, + "gp": 117.56 + }, + "missing_pkgs": [], + "campaigns": [ + { + "campaign": "Joom", + "metric": "install", + "installs": 42744.0, + "impressions": 0, + "revenue": 13250.64, + "ecpi": 0.31, + "ecpm": null + } + ], + "records": [ + { + "date": "2026-08-01", + "campaign": "Joom", + "metric": "install", + "installs": 1738.0, + "impressions": 0, + "revenue": 538.78 + }, + { + "date": "2026-08-02", + "campaign": "Joom", + "metric": "install", + "installs": 1884.0, + "impressions": 0, + "revenue": 584.04 + }, + { + "date": "2026-08-03", + "campaign": "Joom", + "metric": "install", + "installs": 1835.0, + "impressions": 0, + "revenue": 568.85 + }, + { + "date": "2026-08-04", + "campaign": "Joom", + "metric": "install", + "installs": 1605.0, + "impressions": 0, + "revenue": 497.55 + }, + { + "date": "2026-08-05", + "campaign": "Joom", + "metric": "install", + "installs": 1554.0, + "impressions": 0, + "revenue": 481.74 + }, + { + "date": "2026-08-06", + "campaign": "Joom", + "metric": "install", + "installs": 1276.0, + "impressions": 0, + "revenue": 395.56 + }, + { + "date": "2026-08-07", + "campaign": "Joom", + "metric": "install", + "installs": 1638.0, + "impressions": 0, + "revenue": 507.78 + }, + { + "date": "2026-08-08", + "campaign": "Joom", + "metric": "install", + "installs": 1136.0, + "impressions": 0, + "revenue": 352.16 + }, + { + "date": "2026-08-09", + "campaign": "Joom", + "metric": "install", + "installs": 1400.0, + "impressions": 0, + "revenue": 434.0 + }, + { + "date": "2026-08-10", + "campaign": "Joom", + "metric": "install", + "installs": 1386.0, + "impressions": 0, + "revenue": 429.66 + }, + { + "date": "2026-08-11", + "campaign": "Joom", + "metric": "install", + "installs": 1255.0, + "impressions": 0, + "revenue": 389.05 + }, + { + "date": "2026-08-12", + "campaign": "Joom", + "metric": "install", + "installs": 1273.0, + "impressions": 0, + "revenue": 394.63 + }, + { + "date": "2026-08-13", + "campaign": "Joom", + "metric": "install", + "installs": 1270.0, + "impressions": 0, + "revenue": 393.7 + }, + { + "date": "2026-08-14", + "campaign": "Joom", + "metric": "install", + "installs": 1275.0, + "impressions": 0, + "revenue": 395.25 + }, + { + "date": "2026-08-15", + "campaign": "Joom", + "metric": "install", + "installs": 1293.0, + "impressions": 0, + "revenue": 400.83 + }, + { + "date": "2026-08-16", + "campaign": "Joom", + "metric": "install", + "installs": 1357.0, + "impressions": 0, + "revenue": 420.67 + }, + { + "date": "2026-08-17", + "campaign": "Joom", + "metric": "install", + "installs": 1350.0, + "impressions": 0, + "revenue": 418.5 + }, + { + "date": "2026-08-18", + "campaign": "Joom", + "metric": "install", + "installs": 1264.0, + "impressions": 0, + "revenue": 391.84 + }, + { + "date": "2026-08-19", + "campaign": "Joom", + "metric": "install", + "installs": 1212.0, + "impressions": 0, + "revenue": 375.72 + }, + { + "date": "2026-08-20", + "campaign": "Joom", + "metric": "install", + "installs": 1260.0, + "impressions": 0, + "revenue": 390.6 + }, + { + "date": "2026-08-21", + "campaign": "Joom", + "metric": "install", + "installs": 1472.0, + "impressions": 0, + "revenue": 456.32 + }, + { + "date": "2026-08-22", + "campaign": "Joom", + "metric": "install", + "installs": 1476.0, + "impressions": 0, + "revenue": 457.56 + }, + { + "date": "2026-08-23", + "campaign": "Joom", + "metric": "install", + "installs": 1381.0, + "impressions": 0, + "revenue": 428.11 + }, + { + "date": "2026-08-24", + "campaign": "Joom", + "metric": "install", + "installs": 1424.0, + "impressions": 0, + "revenue": 441.44 + }, + { + "date": "2026-08-25", + "campaign": "Joom", + "metric": "install", + "installs": 1462.0, + "impressions": 0, + "revenue": 453.22 + }, + { + "date": "2026-08-26", + "campaign": "Joom", + "metric": "install", + "installs": 1160.0, + "impressions": 0, + "revenue": 359.6 + }, + { + "date": "2026-08-27", + "campaign": "Joom", + "metric": "install", + "installs": 1102.0, + "impressions": 0, + "revenue": 341.62 + }, + { + "date": "2026-08-28", + "campaign": "Joom", + "metric": "install", + "installs": 1097.0, + "impressions": 0, + "revenue": 340.07 + }, + { + "date": "2026-08-29", + "campaign": "Joom", + "metric": "install", + "installs": 1872.0, + "impressions": 0, + "revenue": 580.32 + }, + { + "date": "2026-08-30", + "campaign": "Joom", + "metric": "install", + "installs": 2037.0, + "impressions": 0, + "revenue": 631.47 + } + ] + }, + { + "key": "xbet", + "name": "1xbet", + "layout": "placeholder", + "note": "本月几乎无数据，暂不接入", + "pkgs": [], + "data_cutoff": null, + "actual": { + "installs": 0, + "impressions": 0, + "revenue": 0, + "cost": null, + "gp": null, + "gp_rate": null + }, + "target": { + "revenue": 150884.0, + "gp": 134287.0, + "gp_rate": 89.0 + }, + "completion": { + "revenue": 0.0, + "gp": null + }, + "missing_pkgs": [], + "campaigns": [], + "records": [] + }, + { + "key": "casasbahia", + "name": "Casas Bahia", + "layout": "placeholder", + "note": "暂不接入", + "pkgs": [], + "data_cutoff": null, + "actual": { + "installs": 0, + "impressions": 0, + "revenue": 0, + "cost": null, + "gp": null, + "gp_rate": null + }, + "target": { + "revenue": 32085.0, + "gp": 16684.0, + "gp_rate": 52.0 + }, + "completion": { + "revenue": 0.0, + "gp": null + }, + "missing_pkgs": [], + "campaigns": [], + "records": [] + } + ], + "definitions": { + "revenue": "各 KA 日报表的 Daily Spend / Spend / Cost，客户口径消耗，即我们的 Revenue", + "cost": "Sands Report 2.0 按包名汇总的 Cost，需本地抓取", + "gp": "GP = Revenue − Cost；GP rate = GP ÷ Revenue × 100", + "target": "Oversea FY2627 Monthly FFR 表对应 KA 行的 Target Rev / GP / GP%", + "completion": "完成率 = 实际 ÷ Target × 100，仅用于 Revenue 与 GP", + "impressions": "CPM 单（如 CapitecFuneral）的曝光量，单独统计，不并入 Install" + } +} \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 0000000..24b580e --- /dev/null +++ b/index.html @@ -0,0 +1,273 @@ + + + +Top10 KA · FFR 与 GP +
+

Top10 KA · FFR 与 GP

正在加载数据…

数据加载中
+
+
+
Revenue 来自各 KA 日报表客户口径消耗 · Cost 来自 Sands · GP = Revenue − Cost
+
+ diff --git a/update_report_data.py b/update_report_data.py new file mode 100644 index 0000000..4f00380 --- /dev/null +++ b/update_report_data.py @@ -0,0 +1,648 @@ +"""生成 top10-ffr 报表数据（多 KA，按 tab 展示）。 + +取数范围：当月 1 号至昨天。 +口径： +- Revenue 来自各 KA 日报表的 Daily Spend / Spend / Cost（客户口径消耗） +- Cost 来自 Sands Report 2.0，按包名汇总（需本地抓取 sands_cost.json） +- GP = Revenue − Cost；GP rate = GP ÷ Revenue × 100 +- Target 来自 Oversea FY2627 Monthly FFR 表对应 KA 行 + +读取优先公开 CSV 导出，失败回退本地 credentials.json。脚本不含任何凭据。 +""" + +import csv +import io +import json +import re +import sys +import urllib.request +from collections import defaultdict +from datetime import datetime, timedelta +from pathlib import Path +from zoneinfo import ZoneInfo + +BASE = Path(__file__).resolve().parent +CONFIG_FILE = BASE / "accounts.json" +TIMEZONE = ZoneInfo("Asia/Shanghai") +SKIP_MARKS = ("总计", "合计", "total") +SPEND_NAMES = {"cost"} +SPEND_BLOCKLIST = ("cap", "budget", "rate", "expend") +INSTALL_BLOCKLIST = ("cap", "rate", "overall", "superset", "rejected", "reject") + + +def clean(value): + return " ".join(str(value or "").replace("\xa0", " ").split()) + + +def norm(value): + return re.sub(r"\s+", "", str(value or "")).lower() + + +def cell(row, index): + if index is None or index < 0 or index >= len(row): + return "" + return row[index] + + +def letter(index): + if index < 26: + return chr(65 + index) + return chr(64 + index // 26) + chr(65 + index % 26) + + +def parse_date(value): + text = clean(value) + for fmt in ("%Y/%m/%d", "%Y-%m-%d", "%Y%m%d", "%m/%d/%Y"): + try: + return datetime.strptime(text, fmt).date() + except ValueError: + pass + match = re.fullmatch(r"(\d{4})\D{1,3}(\d{1,2})\D{1,3}(\d{1,2})", text) + if not match: + return None + try: + return datetime(*map(int, match.groups())).date() + except ValueError: + return None + + +def parse_number(value): + text = clean(value).replace(",", "").replace("$", "").replace("%", "") + if not text or text in {"-", "—"} or text.startswith("#"): + return None + negative = text.startswith("(") and text.endswith(")") + cleaned = re.sub(r"[^0-9.\-]", "", text) + if cleaned in {"", "-", ".", "-."}: + return None + try: + number = float(cleaned) + except ValueError: + return None + return -number if negative else number + + +def is_install_header(text): + """Install 列有 install / installs / Installations / Install(new device) 等写法。""" + name = clean(text).lower() + if not name.startswith("install"): + return False + return not any(word in name for word in INSTALL_BLOCKLIST) + + +def is_spend_header(text): + """Revenue 列写法：spend / Spend / Daily Spend / Spends USD / Cost。""" + name = clean(text).lower() + if name in SPEND_NAMES: + return True + if not (name.startswith("spend") or name.startswith("daily spend")): + return False + return not any(word in name for word in SPEND_BLOCKLIST) + + +def fetch_public(spreadsheet_id, gid): + url = ( + f"https://docs.google.com/spreadsheets/d/{spreadsheet_id}" + f"/export?format=csv&gid={gid}" + ) + request = urllib.request.Request(url, headers={"User-Agent": "AgentStage-Top10/1.0"}) + with urllib.request.urlopen(request, timeout=120) as response: + return list(csv.reader(io.StringIO(response.read().decode("utf-8-sig")))) + + +def fetch_private(spreadsheet_id, gid): + import gspread + from google.oauth2.service_account import Credentials + + candidates = [BASE / "credentials.json"] + [p / "credentials.json" for p in BASE.parents] + path = next((item for item in candidates if item.exists()), None) + if path is None: + raise FileNotFoundError("未找到 credentials.json") + creds = Credentials.from_service_account_file( + str(path), scopes=["https://www.googleapis.com/auth/spreadsheets.readonly"] + ) + spreadsheet = gspread.authorize(creds).open_by_key(spreadsheet_id) + for worksheet in spreadsheet.worksheets(): + if worksheet.id == gid: + return worksheet.get_all_values() + raise LookupError(f"未找到 gid={gid}") + + +def fetch_rows(spreadsheet_id, gid): + try: + rows = fetch_public(spreadsheet_id, gid) + if rows: + return rows, "public" + except Exception: + pass + return fetch_private(spreadsheet_id, gid), "credentials" + + +def find_blocks(rows): + """定位表头行与其中所有横向区块（同一行可能有多套 Date/Install/Spend）。""" + for index, row in enumerate(rows[:40]): + date_columns = [i for i, v in enumerate(row) if clean(v).lower() == "date"] + if not date_columns: + continue + blocks = [] + for position, start in enumerate(date_columns): + end = date_columns[position + 1] if position + 1 < len(date_columns) else len(row) + block = {"date": start} + for column in range(start, end): + name = cell(row, column) + if "install" not in block and is_install_header(name): + block["install"] = [column] + elif "spend" not in block and is_spend_header(name): + block["spend"] = [column] + if "install" in block or "spend" in block: + blocks.append(block) + if blocks: + return index, blocks + return None, [] + + +def single_index(value): + if value is None: + return None + if isinstance(value, int): + return value + text = clean(value).upper() + if not text: + return None + if text.isdigit(): + return int(text) + index = 0 + for char in text: + if not ("A" <= char <= "Z"): + return None + index = index * 26 + (ord(char) - 64) + return index - 1 + + +def column_index(value): + """支持单列或多列求和：'D' 或 ['D','Q','AD','AT']。""" + if value is None: + return None + if isinstance(value, (list, tuple)): + items = [single_index(item) for item in value] + items = [item for item in items if item is not None] + return items or None + index = single_index(value) + return None if index is None else [index] + + +def read_campaign_sheet(rows, start_date, end_date, label, overrides=None): + """按表头自动识别；overrides 可显式指定表头行与列，避免取到本币列。""" + overrides = overrides or {} + forced_row = overrides.get("header_row") + if forced_row: + header_row = int(forced_row) - 1 + if not 0 <= header_row < len(rows): + print(f" {label}: 指定的表头行 {forced_row} 超出范围，跳过") + return {} + block = {} + header = rows[header_row] + date_index = column_index(overrides.get("date_col")) + if date_index: + block["date"] = date_index[0] + for key, field in (("install", "install_col"), ("spend", "revenue_col")): + index = column_index(overrides.get(field)) + if index: + block[key] = index + if "date" not in block: + found = next((i for i, v in enumerate(header) if clean(v).lower() == "date"), None) + if found is None: + print(f" {label}: 第 {forced_row} 行未找到 Date 列，跳过") + return {} + block["date"] = found + if "install" not in block: + found = next((i for i, v in enumerate(header) if is_install_header(v)), None) + if found is not None: + block["install"] = [found] + if "spend" not in block: + found = next((i for i, v in enumerate(header) if is_spend_header(v)), None) + if found is not None: + block["spend"] = [found] + # 防护：Revenue 列不能是 FFR、比率或本币列 + for index in list(block.get("spend") or []): + name = clean(cell(header, index)).lower() + if any(word in name for word in ("ffr", "%", "rate", "r$")): + print(f" {label}: 拒绝把 {letter(index)}({name}) 当作 Revenue，已剔除") + block["spend"].remove(index) + if not block.get("spend"): + block.pop("spend", None) + + def describe(key): + indexes = block.get(key) + if not indexes: + return f" {key}=缺失" + parts = "+".join(f"{letter(i)}({clean(cell(header, i))})" for i in indexes) + return f" {key}={parts}" + + blocks = [block] + described = f"date={letter(block['date'])}" + describe("install") + describe("spend") + print(f" {label}: 指定表头第 {forced_row} 行，{described}") + return accumulate(rows, header_row, blocks, start_date, end_date, label) + + header_row, blocks = find_blocks(rows) + if header_row is None: + print(f" {label}: 未识别到表头，跳过") + return {} + described = "; ".join( + f"date={letter(b['date'])}" + + (f" install={letter(b['install'][0])}" if b.get("install") else "") + + (f" spend={letter(b['spend'][0])}" if b.get("spend") else "") + for b in blocks + ) + print(f" {label}: 表头第 {header_row + 1} 行，{len(blocks)} 个区块 [{described}]") + return accumulate(rows, header_row, blocks, start_date, end_date, label) + + +def accumulate(rows, header_row, blocks, start_date, end_date, label=""): + daily = defaultdict(lambda: {"installs": 0.0, "revenue": 0.0}) + parsed = 0 + in_range = 0 + sample = [] + found_dates = [] + for row in rows[header_row + 1:]: + for block in blocks: + raw = clean(cell(row, block["date"])) + day = parse_date(raw) + if day is None: + if raw and len(sample) < 3: + sample.append(raw) + continue + parsed += 1 + found_dates.append(day) + if not (start_date <= day <= end_date): + continue + in_range += 1 + item = daily[day.isoformat()] + for index in block.get("install") or []: + value = parse_number(cell(row, index)) + if value is not None: + item["installs"] += value + for index in block.get("spend") or []: + value = parse_number(cell(row, index)) + if value is not None: + item["revenue"] += value + if label and in_range == 0: + header = rows[header_row] if header_row < len(rows) else [] + column = blocks[0]["date"] if blocks else None + title = clean(cell(header, column)) if column is not None else "" + print( + f" 诊断 {label}: 日期列 {letter(column)}({title or '无表头'})，" + f"可解析 {parsed} 行，落在区间 0 行" + ) + if found_dates: + print(f" 解析到的日期范围 {min(found_dates)} ~ {max(found_dates)}") + if sample: + print(f" 无法解析的样例 {sample}") + return daily + + +def read_king(sources, sheets, start_date, end_date): + """King 为长表：Date / Campaign Name / Installs / Cost 每行一条。""" + rows, source = fetch_rows(sheets[sources["sheet"]], sources["client_gid"]) + header_row = None + columns = {} + for index, row in enumerate(rows[:12]): + found = {} + for column, value in enumerate(row): + name = clean(value).lower() + if name == "date": + found.setdefault("date", column) + elif name in {"campaign name", "campaign"}: + found.setdefault("campaign", column) + elif is_install_header(value): + found.setdefault("install", column) + elif name == "cost": + found.setdefault("spend", column) + if len(found) == 4: + header_row, columns = index, found + break + if header_row is None: + raise SystemExit("King 表未识别到 Date / Campaign Name / Install / Cost") + + print(f" King: 表头第 {header_row + 1} 行，来源={source}") + per_campaign = defaultdict(lambda: defaultdict(lambda: {"installs": 0.0, "revenue": 0.0})) + for row in rows[header_row + 1:]: + name = clean(cell(row, columns["campaign"])) + if not name or any(mark in name.lower() for mark in SKIP_MARKS): + continue + day = parse_date(cell(row, columns["date"])) + if day is None or not (start_date <= day <= end_date): + continue + item = per_campaign[name][day.isoformat()] + install = parse_number(cell(row, columns["install"])) + revenue = parse_number(cell(row, columns["spend"])) + if install is not None: + item["installs"] += install + if revenue is not None: + item["revenue"] += revenue + return per_campaign + + +def read_existing_report(sources, start_date, end_date): + """Amazon：直接读取已有报表的 data.json。""" + url = sources["report_url"] + request = urllib.request.Request(url, headers={"User-Agent": "AgentStage-Top10/1.0"}) + with urllib.request.urlopen(request, timeout=90) as response: + data = json.loads(response.read().decode("utf-8")) + revenue_field = sources.get("revenue_field", "payable_spend") + install_field = sources.get("install_field", "install") + daily = defaultdict(lambda: {"installs": 0.0, "revenue": 0.0}) + cutoff = None + for row in data.get("daily", []): + day = parse_date(row.get("date")) + if day is None: + continue + if row.get("is_actual") is False: + continue + if cutoff is None or day > cutoff: + cutoff = day + if not (start_date <= day <= end_date): + continue + item = daily[day.isoformat()] + item["installs"] += float(row.get(install_field) or 0) + item["revenue"] += float(row.get(revenue_field) or 0) + print(f" Amazon: 使用 {revenue_field} 作为 Revenue，实际数据截止 {cutoff}") + return daily, cutoff + + +def read_targets(rows): + """Monthly FFR：上一行是分组名（Target/Actual），下一行是 Rev/GP/GP%。""" + metric_row = None + for index, row in enumerate(rows[:12]): + names = [norm(v) for v in row] + if "rev" in names and "gp" in names: + metric_row = index + break + if metric_row is None: + raise LookupError("未找到 Rev / GP 指标行") + + group_row = rows[metric_row - 1] if metric_row > 0 else [] + columns = {} + current = "" + for column, value in enumerate(rows[metric_row]): + label = clean(cell(group_row, column)) + if label: + current = label.lower() + metric = norm(value) + if metric in {"rev", "gp", "gp%"} and current: + columns.setdefault((current, metric), column) + + targets = {} + for row in rows[metric_row + 1:]: + name = clean(cell(row, 0)).lower() + if not name: + continue + + def pick(metric): + for (group, key), column in columns.items(): + if key == metric and "target" in group: + return parse_number(cell(row, column)) + return None + + targets[name] = {"revenue": pick("rev"), "gp": pick("gp"), "gp_rate": pick("gp%")} + return targets + + +def load_sands(): + candidates = [BASE / "sands_cost.json"] + [p / "sands_cost.json" for p in BASE.parents] + path = next((item for item in candidates if item.exists()), None) + if path is None: + previous = BASE / "data.json" + if previous.exists(): + try: + sands = json.loads(previous.read_text(encoding="utf-8")).get("sands") + except Exception: + sands = None + if sands: + sands = dict(sands) + sands["carried_over"] = True + print(f"Sands：沿用上一版（抓取于 {sands.get('fetched_at')}）") + return sands + print("Sands：未找到 sands_cost.json，Cost 与 GP 将留空") + return None + data = json.loads(path.read_text(encoding="utf-8")) + by_pkg = {name: entry.get("cost") for name, entry in (data.get("by_pkg") or {}).items()} + print(f"Sands：{len(by_pkg)} 个包，抓取于 {data.get('fetched_at')}") + return { + "fetched_at": data.get("fetched_at"), + "source_url": data.get("source_url"), + "by_pkg": by_pkg, + "total_cost": data.get("total_cost"), + } + + +def account_cost(account, sands): + if not sands or not sands.get("by_pkg"): + return None, [] + by_pkg = sands["by_pkg"] + total = 0.0 + missing = [] + found = False + for pkg in account.get("pkgs", []): + value = by_pkg.get(pkg) + if value is None: + missing.append(pkg) + else: + total += float(value) + found = True + return (round(total, 4) if found else None), missing + + +def build_account(account, sheets, start_date, end_date, sands, targets): + key, name, layout = account["key"], account["name"], account.get("layout") + print(f"\n[{name}] layout={layout}") + campaigns = {} + cutoff = None + + if layout == "king": + per_campaign = read_king(account["sources"], sheets, start_date, end_date) + campaigns = {campaign: dict(days) for campaign, days in per_campaign.items()} + elif layout == "placeholder": + print(" 占位账号，无数据") + else: + # 同一个 KA 可以同时有已有报表和源表两种来源 + sources = account.get("sources") or {} + if sources.get("report_url"): + daily, cutoff = read_existing_report(sources, start_date, end_date) + if daily: + campaigns[sources.get("campaign_name", name)] = dict(daily) + for campaign in account.get("campaigns", []): + try: + rows, source = fetch_rows(sheets[campaign["sheet"]], campaign["gid"]) + except Exception as error: + print(f" {campaign['name']}: 读取失败 {type(error).__name__}: {error or '(无消息)'}") + continue + daily = read_campaign_sheet( + rows, start_date, end_date, f"{campaign['name']}({source})", campaign + ) + if daily: + campaigns[campaign["name"]] = dict(daily) + + # CPM 单的曝光不能与安装相加，单独统计 + impression_campaigns = { + campaign.get("name"): campaign.get("metric_label") + for campaign in account.get("campaigns", []) + if str(campaign.get("metric_label", "")).lower().startswith("impression") + } + + records = [] + campaign_summary = [] + for campaign, days in campaigns.items(): + is_impression = campaign in impression_campaigns + volume = round(sum(item["installs"] for item in days.values()), 2) + revenue = round(sum(item["revenue"] for item in days.values()), 4) + campaign_summary.append({ + "campaign": campaign, + "metric": "impression" if is_impression else "install", + "installs": 0 if is_impression else volume, + "impressions": volume if is_impression else 0, + "revenue": revenue, + "ecpi": None if is_impression or not volume else round(revenue / volume, 4), + "ecpm": round(revenue / volume * 1000, 4) if is_impression and volume else None, + }) + for date, item in sorted(days.items()): + value = round(item["installs"], 2) + records.append({ + "date": date, + "campaign": campaign, + "metric": "impression" if is_impression else "install", + "installs": 0 if is_impression else value, + "impressions": value if is_impression else 0, + "revenue": round(item["revenue"], 4), + }) + + campaign_summary.sort(key=lambda item: -item["revenue"]) + revenue = round(sum(item["revenue"] for item in campaign_summary), 4) + installs = round(sum(item["installs"] for item in campaign_summary), 2) + impressions = round(sum(item["impressions"] for item in campaign_summary), 2) + cost, missing_pkgs = account_cost(account, sands) + gp = round(revenue - cost, 4) if cost is not None else None + gp_rate = round(gp / revenue * 100, 2) if gp is not None and revenue else None + + target = dict(targets.get(account.get("target_ka", "").lower()) or {}) + if target.get("gp_rate") is not None and target["gp_rate"] <= 1: + target["gp_rate"] = round(target["gp_rate"] * 100, 2) + + def ratio(actual, goal): + if actual is None or not goal: + return None + return round(actual / goal * 100, 2) + + print( + f" Revenue={revenue} Install={installs} Impression={impressions} " + f"Cost={cost} GP={gp} Target Rev={target.get('revenue')}" + ) + if missing_pkgs: + print(f" Sands 缺少包：{missing_pkgs}") + + return { + "key": key, + "name": name, + "layout": layout, + "note": account.get("note", ""), + "pkgs": account.get("pkgs", []), + "data_cutoff": cutoff.isoformat() if cutoff else None, + "actual": { + "installs": installs, + "impressions": impressions, + "revenue": revenue, + "cost": cost, + "gp": gp, + "gp_rate": gp_rate, + }, + "target": { + "revenue": target.get("revenue"), + "gp": target.get("gp"), + "gp_rate": target.get("gp_rate"), + }, + "completion": { + "revenue": ratio(revenue, target.get("revenue")), + "gp": ratio(gp, target.get("gp")), + }, + "missing_pkgs": missing_pkgs, + "campaigns": campaign_summary, + "records": records, + } + + +def main(): + if len(sys.argv) < 2: + raise SystemExit("用法: update_report_data.py <输出文件>") + config = json.loads(CONFIG_FILE.read_text(encoding="utf-8")) + sheets = config["sheets"] + + now = datetime.now(TIMEZONE) + end_date = now.date() - timedelta(days=1) + start_date = end_date.replace(day=1) + days = (end_date - start_date).days + 1 + month_days = ((start_date.replace(day=28) + timedelta(days=4)).replace(day=1) - timedelta(days=1)).day + print(f"取数范围：{start_date} 至 {end_date}（{days}/{month_days} 天）") + + sands = load_sands() + try: + target_rows, _ = fetch_rows(config["target_spreadsheet_id"], config["target_gid"]) + targets = read_targets(target_rows) + print(f"Target：命中 {len(targets)} 个 KA") + except Exception as error: + targets = {} + print(f"Target 读取失败（{error}）") + + accounts = [ + build_account(account, sheets, start_date, end_date, sands, targets) + for account in config["accounts"] + ] + active = [item for item in accounts if item["actual"]["revenue"] or item["actual"]["cost"]] + + totals = { + "installs": round(sum(item["actual"]["installs"] for item in active), 2), + "impressions": round(sum(item["actual"].get("impressions") or 0 for item in active), 2), + "revenue": round(sum(item["actual"]["revenue"] for item in active), 4), + "cost": round(sum(item["actual"]["cost"] or 0 for item in active), 4), + "target_revenue": round(sum(item["target"]["revenue"] or 0 for item in active), 4), + "target_gp": round(sum(item["target"]["gp"] or 0 for item in active), 4), + } + totals["gp"] = round(totals["revenue"] - totals["cost"], 4) + totals["gp_rate"] = round(totals["gp"] / totals["revenue"] * 100, 2) if totals["revenue"] else None + totals["completion"] = { + "revenue": round(totals["revenue"] / totals["target_revenue"] * 100, 2) if totals["target_revenue"] else None, + "gp": round(totals["gp"] / totals["target_gp"] * 100, 2) if totals["target_gp"] else None, + } + + payload = { + "title": "Top10 KA · 当月 FFR 与 GP", + "generated_at": now.isoformat(timespec="seconds"), + "timezone": "Asia/Shanghai", + "period": { + "start": start_date.isoformat(), + "end": end_date.isoformat(), + "days": days, + "month_days": month_days, + "time_progress_percent": round(days / month_days * 100, 2), + }, + "sands": sands, + "totals": totals, + "accounts": accounts, + "definitions": { + "revenue": "各 KA 日报表的 Daily Spend / Spend / Cost，客户口径消耗，即我们的 Revenue", + "cost": "Sands Report 2.0 按包名汇总的 Cost，需本地抓取", + "gp": "GP = Revenue − Cost；GP rate = GP ÷ Revenue × 100", + "target": "Oversea FY2627 Monthly FFR 表对应 KA 行的 Target Rev / GP / GP%", + "completion": "完成率 = 实际 ÷ Target × 100，仅用于 Revenue 与 GP", + "impressions": "CPM 单（如 CapitecFuneral）的曝光量，单独统计，不并入 Install", + }, + } + + with open(sys.argv[1], "w", encoding="utf-8") as handle: + json.dump(payload, handle, ensure_ascii=False, indent=2) + print( + f"\nOK accounts={len(accounts)} active={len(active)} " + f"revenue={totals['revenue']} cost={totals['cost']} gp={totals['gp']}" + ) + + +if __name__ == "__main__": + main()