From 16be038cf030df8a24972b9daf1286bb81df9675 Mon Sep 17 00:00:00 2001 From: SHAREit Date: Tue, 1 Sep 2026 15:22:45 +0800 Subject: [PATCH] Publish top10 KA FFR report --- data.json | 799 ++++++++++++++++++++++++++++++------------ index.html | 20 +- update_report_data.py | 28 +- 3 files changed, 615 insertions(+), 232 deletions(-) diff --git a/data.json b/data.json index 74d5c1e..fe8a0c6 100644 --- a/data.json +++ b/data.json @@ -1,52 +1,257 @@ { "title": "Top10 KA · 当月 FFR 与 GP", - "generated_at": "2026-08-31T14:21:06+08:00", + "generated_at": "2026-09-01T14:03:54+08:00", "timezone": "Asia/Shanghai", "period": { "start": "2026-08-01", - "end": "2026-08-30", - "days": 30, + "end": "2026-08-31", + "days": 31, "month_days": 31, - "time_progress_percent": 96.77 + "time_progress_percent": 100.0 }, "sands": { - "fetched_at": "2026-08-31T14:21:04+08:00", + "fetched_at": "2026-09-01T13:06:15+08:00", "source_url": "https://sands.hellay.net/#/newSanReports2", "by_pkg": { - "com.Dominos": 0.0, + "net.myinfosys.PermataMobileX": 0.0, + "com.loadcomplete.slimeidle": 0.0, + "com.ubercab": 0.0, + "com.yandex.lavka": 6494.6501, + "com.mocamoca": 314.05, + "com.smartec.ft": 0.0, + "com.indokoala.transfez": 0.0, + "com.pp666.sha01": 0.0, "mx.com.paramia": 0.0, - 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"revenue": 4121.6 + "revenue": 4125.1 }, { "date": "2026-08-04", "campaign": "AliExpress", "metric": "install", - "installs": 6327.0, + "installs": 6329.0, "impressions": 0, - "revenue": 4428.9 + "revenue": 4430.3 }, { "date": "2026-08-05", "campaign": "AliExpress", "metric": "install", - "installs": 6166.0, + "installs": 6167.0, "impressions": 0, - "revenue": 4316.2 + "revenue": 4316.9 }, { "date": "2026-08-06", "campaign": "AliExpress", "metric": "install", - "installs": 6520.0, + "installs": 6521.0, "impressions": 0, - "revenue": 4564.0 + "revenue": 4564.7 }, { "date": "2026-08-07", "campaign": "AliExpress", "metric": "install", - "installs": 5997.0, + "installs": 6001.0, "impressions": 0, - "revenue": 4197.9 + "revenue": 4200.7 }, { "date": "2026-08-08", @@ -2567,177 +2833,185 @@ "date": "2026-08-09", "campaign": "AliExpress", "metric": "install", - "installs": 6341.0, + "installs": 6344.0, "impressions": 0, - "revenue": 4438.7 + "revenue": 4440.8 }, { "date": "2026-08-10", "campaign": "AliExpress", "metric": "install", - 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"installs": 6972.0, + "installs": 6975.0, "impressions": 0, - "revenue": 4880.4 + "revenue": 4882.5 }, { "date": "2026-08-17", "campaign": "AliExpress", "metric": "install", - "installs": 7494.0, + "installs": 7495.0, "impressions": 0, - "revenue": 5245.8 + "revenue": 5246.5 }, { "date": "2026-08-18", "campaign": "AliExpress", "metric": "install", - "installs": 7385.0, + "installs": 7386.0, "impressions": 0, - "revenue": 5169.5 + "revenue": 5170.2 }, { "date": "2026-08-19", "campaign": "AliExpress", "metric": "install", - "installs": 7917.0, - "impressions": 0, - "revenue": 5541.9 - }, - { - "date": "2026-08-20", - "campaign": "AliExpress", - "metric": "install", - "installs": 7145.0, - "impressions": 0, - "revenue": 5001.5 - }, - { - "date": "2026-08-21", - "campaign": "AliExpress", - "metric": "install", - "installs": 7293.0, - "impressions": 0, - "revenue": 5105.1 - }, - { - "date": "2026-08-22", - "campaign": "AliExpress", - "metric": "install", - "installs": 7318.0, - "impressions": 0, - "revenue": 5122.6 - }, - { - "date": "2026-08-23", - "campaign": "AliExpress", - "metric": "install", "installs": 7921.0, "impressions": 0, "revenue": 5544.7 }, + { + "date": "2026-08-20", + "campaign": "AliExpress", + "metric": "install", + "installs": 7151.0, + "impressions": 0, + "revenue": 5005.7 + }, + { + "date": "2026-08-21", + "campaign": "AliExpress", + "metric": "install", + "installs": 7295.0, + "impressions": 0, + "revenue": 5106.5 + }, + { + "date": "2026-08-22", + "campaign": "AliExpress", + "metric": "install", + "installs": 7321.0, + "impressions": 0, + "revenue": 5124.7 + }, + { + "date": "2026-08-23", + "campaign": "AliExpress", + "metric": "install", + "installs": 7922.0, + "impressions": 0, + "revenue": 5545.4 + }, { "date": "2026-08-24", "campaign": "AliExpress", "metric": "install", - "installs": 7612.0, + "installs": 7618.0, "impressions": 0, - "revenue": 5328.4 + "revenue": 5332.6 }, { "date": "2026-08-25", "campaign": "AliExpress", "metric": "install", - "installs": 6837.0, + "installs": 6844.0, "impressions": 0, - "revenue": 4785.9 + "revenue": 4790.8 }, { "date": "2026-08-26", "campaign": "AliExpress", "metric": "install", - "installs": 6510.0, + "installs": 6512.0, "impressions": 0, - "revenue": 4557.0 + "revenue": 4558.4 }, { "date": "2026-08-27", "campaign": "AliExpress", "metric": "install", - "installs": 5421.0, + "installs": 5427.0, "impressions": 0, - "revenue": 3794.7 + "revenue": 3798.9 }, { "date": "2026-08-28", "campaign": "AliExpress", "metric": "install", - "installs": 4828.0, + "installs": 4830.0, "impressions": 0, - "revenue": 3379.6 + "revenue": 3381.0 }, { "date": "2026-08-29", "campaign": "AliExpress", "metric": "install", - "installs": 5263.0, + "installs": 5269.0, "impressions": 0, - "revenue": 3684.1 + "revenue": 3688.3 }, { "date": "2026-08-30", "campaign": "AliExpress", "metric": "install", - "installs": 3610.0, + "installs": 5083.0, "impressions": 0, - "revenue": 2527.0 + "revenue": 3558.1 + }, + { + "date": "2026-08-31", + "campaign": "AliExpress", + "metric": "install", + "installs": 0.0, + "impressions": 0, + "revenue": 0.0 } ] }, @@ -2753,12 +3027,12 @@ ], "data_cutoff": null, "actual": { - "installs": 83165.0, + "installs": 85650.0, "impressions": 0, - "revenue": 33865.72, - "cost": null, - "gp": null, - "gp_rate": null + "revenue": 34953.94, + "cost": 12963.5801, + "gp": 21990.3599, + "gp_rate": 62.91 }, "target": { "revenue": 56580.0, @@ -2766,39 +3040,35 @@ "gp_rate": 85.0 }, "completion": { - "revenue": 59.85, - "gp": null + "revenue": 61.78, + "gp": 45.72 }, - "missing_pkgs": [ - "ru.mail.cloud", - "com.vk.love", - "com.uma.musicvk" - ], + "missing_pkgs": [], "campaigns": [ { "campaign": "MailCloud", "metric": "install", - "installs": 40676.0, + "installs": 42178.0, "impressions": 0, - "revenue": 14236.6, + "revenue": 14762.3, "ecpi": 0.35, "ecpm": null }, { "campaign": "VkLove", "metric": "install", - "installs": 18410.0, + "installs": 19094.0, "impressions": 0, - "revenue": 12887.0, + "revenue": 13365.8, "ecpi": 0.7, "ecpm": null }, { "campaign": "VKmusic", "metric": "install", - "installs": 24079.0, + "installs": 24378.0, "impressions": 0, - "revenue": 6742.12, + "revenue": 6825.84, "ecpi": 0.28, "ecpm": null } @@ -3044,6 +3314,14 @@ "impressions": 0, "revenue": 441.7 }, + { + "date": "2026-08-31", + "campaign": "MailCloud", + "metric": "install", + "installs": 1502.0, + "impressions": 0, + "revenue": 525.7 + }, { "date": "2026-08-01", "campaign": "VkLove", @@ -3284,6 +3562,14 @@ "impressions": 0, "revenue": 545.3 }, + { + "date": "2026-08-31", + "campaign": "VkLove", + "metric": "install", + "installs": 684.0, + "impressions": 0, + "revenue": 478.8 + }, { "date": "2026-08-01", "campaign": "VKmusic", @@ -3523,6 +3809,14 @@ "installs": 317.0, "impressions": 0, "revenue": 88.76 + }, + { + "date": "2026-08-31", + "campaign": "VKmusic", + "metric": "install", + "installs": 299.0, + "impressions": 0, + "revenue": 83.72 } ] }, @@ -3538,12 +3832,12 @@ ], "data_cutoff": null, "actual": { - "installs": 140894.0, + "installs": 147950.0, "impressions": 0, - "revenue": 69763.34, - "cost": 255.35, - "gp": 69507.99, - "gp_rate": 99.63 + "revenue": 73665.46, + "cost": 39411.9203, + "gp": 34253.5397, + "gp_rate": 46.5 }, "target": { "revenue": 17713.0, @@ -3551,39 +3845,36 @@ "gp_rate": 66.0 }, "completion": { - "revenue": 393.85, - "gp": 594.54 + "revenue": 415.88, + "gp": 292.99 }, - "missing_pkgs": [ - "com.yandex.bank", - "com.yandex.lavka" - ], + "missing_pkgs": [], "campaigns": [ { "campaign": "YandexBank", "metric": "install", - "installs": 67951.0, + "installs": 72375.0, "impressions": 0, - "revenue": 47475.05, - "ecpi": 0.6987, + "revenue": 50616.65, + "ecpi": 0.6994, "ecpm": null }, { "campaign": "YandexWeather", "metric": "install", - "installs": 31337.0, + "installs": 32509.0, "impressions": 0, - "revenue": 13440.29, - "ecpi": 0.4289, + "revenue": 13920.81, + "ecpi": 0.4282, "ecpm": null }, { "campaign": "YandexLavka", "metric": "install", - "installs": 41606.0, + "installs": 43066.0, "impressions": 0, - "revenue": 8848.0, - "ecpi": 0.2127, + "revenue": 9128.0, + "ecpi": 0.212, "ecpm": null } ], @@ -3828,6 +4119,14 @@ "impressions": 0, "revenue": 2468.4 }, + { + "date": "2026-08-31", + "campaign": "YandexBank", + "metric": "install", + "installs": 4424.0, + "impressions": 0, + "revenue": 3141.6 + }, { "date": "2026-08-01", "campaign": "YandexLavka", @@ -4068,6 +4367,14 @@ "impressions": 0, "revenue": 224.0 }, + { + "date": "2026-08-31", + "campaign": "YandexLavka", + "metric": "install", + "installs": 1460.0, + "impressions": 0, + "revenue": 280.0 + }, { "date": "2026-08-01", "campaign": "YandexWeather", @@ -4272,9 +4579,9 @@ "date": "2026-08-26", "campaign": "YandexWeather", "metric": "install", - "installs": 849.0, + "installs": 850.0, "impressions": 0, - "revenue": 348.09 + "revenue": 348.5 }, { "date": "2026-08-27", @@ -4288,25 +4595,33 @@ "date": "2026-08-28", "campaign": "YandexWeather", "metric": "install", - "installs": 859.0, + "installs": 860.0, "impressions": 0, - "revenue": 352.19 + "revenue": 352.6 }, { "date": "2026-08-29", "campaign": "YandexWeather", "metric": "install", - "installs": 1126.0, + "installs": 1128.0, "impressions": 0, - "revenue": 461.66 + "revenue": 462.48 }, { "date": "2026-08-30", "campaign": "YandexWeather", "metric": "install", - "installs": 1217.0, + "installs": 1221.0, "impressions": 0, - "revenue": 498.97 + "revenue": 500.61 + }, + { + "date": "2026-08-31", + "campaign": "YandexWeather", + "metric": "install", + "installs": 1164.0, + "impressions": 0, + "revenue": 477.24 } ] }, @@ -4321,9 +4636,9 @@ ], "data_cutoff": null, "actual": { - "installs": 3978.0, - "impressions": 663033.0, - "revenue": 10447.57, + "installs": 4109.0, + "impressions": 681209.0, + "revenue": 10758.37, "cost": null, "gp": null, "gp_rate": null @@ -4334,7 +4649,7 @@ "gp_rate": 100.0 }, "completion": { - "revenue": 48.04, + "revenue": 49.47, "gp": null }, "missing_pkgs": [ @@ -4346,17 +4661,17 @@ "campaign": "CapitecFuneral", "metric": "impression", "installs": 0, - "impressions": 663033.0, - "revenue": 6027.57, + "impressions": 681209.0, + "revenue": 6192.81, "ecpi": null, "ecpm": 9.0909 }, { "campaign": "Nedbank", "metric": "install", - "installs": 3978.0, + "installs": 4109.0, "impressions": 0, - "revenue": 4420.0, + "revenue": 4565.56, "ecpi": 1.1111, "ecpm": null } @@ -4602,6 +4917,14 @@ "impressions": 0, "revenue": 133.33 }, + { + "date": "2026-08-31", + "campaign": "Nedbank", + "metric": "install", + "installs": 131.0, + "impressions": 0, + "revenue": 145.56 + }, { "date": "2026-08-03", "campaign": "CapitecFuneral", @@ -4825,6 +5148,14 @@ "installs": 0, "impressions": 18033.0, "revenue": 163.94 + }, + { + "date": "2026-08-31", + "campaign": "CapitecFuneral", + "metric": "impression", + "installs": 0, + "impressions": 18176.0, + "revenue": 165.24 } ] }, @@ -4838,12 +5169,12 @@ ], "data_cutoff": null, "actual": { - "installs": 15918.0, + "installs": 16158.0, "impressions": 0, - "revenue": 31836.0, - "cost": null, - "gp": null, - "gp_rate": null + "revenue": 32316.0, + "cost": 15158.6999, + "gp": 17157.3001, + "gp_rate": 53.09 }, "target": { "revenue": 11268.0, @@ -4851,19 +5182,17 @@ "gp_rate": 63.0 }, "completion": { - "revenue": 282.53, - "gp": null + "revenue": 286.79, + "gp": 241.69 }, - "missing_pkgs": [ - "sports.caliente.mx.calientedeportes" - ], + "missing_pkgs": [], "campaigns": [ { "campaign": "Caliente", "metric": "install", - "installs": 15918.0, + "installs": 16158.0, "impressions": 0, - "revenue": 31836.0, + "revenue": 32316.0, "ecpi": 2.0, "ecpm": null } @@ -5108,6 +5437,14 @@ "installs": 331.0, "impressions": 0, "revenue": 662.0 + }, + { + "date": "2026-08-31", + "campaign": "Caliente", + "metric": "install", + "installs": 240.0, + "impressions": 0, + "revenue": 480.0 } ] }, @@ -5121,12 +5458,12 @@ ], "data_cutoff": null, "actual": { - "installs": 42744.0, + "installs": 44660.0, "impressions": 0, - "revenue": 13250.64, - "cost": null, - "gp": null, - "gp_rate": null + "revenue": 13844.6, + "cost": 6705.79, + "gp": 7138.81, + "gp_rate": 51.56 }, "target": { "revenue": 12682.0, @@ -5134,19 +5471,17 @@ "gp_rate": 50.0 }, "completion": { - "revenue": 104.48, - "gp": null + "revenue": 109.17, + "gp": 112.58 }, - "missing_pkgs": [ - "tech.jm" - ], + "missing_pkgs": [], "campaigns": [ { "campaign": "Joom", "metric": "install", - "installs": 42744.0, + "installs": 44660.0, "impressions": 0, - "revenue": 13250.64, + "revenue": 13844.6, "ecpi": 0.31, "ecpm": null } @@ -5391,6 +5726,14 @@ "installs": 2037.0, "impressions": 0, "revenue": 631.47 + }, + { + "date": "2026-08-31", + "campaign": "Joom", + "metric": "install", + "installs": 1916.0, + "impressions": 0, + "revenue": 593.96 } ] }, diff --git a/index.html b/index.html index 24b580e..d4f198b 100644 --- a/index.html +++ b/index.html @@ -33,6 +33,8 @@ tr.link{cursor:pointer}tr.link:hover{background:#f8fafc} .bar>b{position:relative;display:block;text-align:right;padding-right:4px;font-size:11px;line-height:16px} .bar.over>i{background:var(--blue)}.bar.low>i{background:var(--pink)} .notes{font-size:11px;color:#94a3b8;margin-top:8px;line-height:1.8} +.alert{margin-top:14px;padding:13px 16px;border-radius:12px;border:1px solid #fecaca;background:#fef2f2;color:#b42318;font-size:12px;line-height:1.8} +.alert b{color:#991b1b} .error{margin:40px auto;max-width:700px;text-align:center;padding:44px;color:#b42318} .footer{text-align:center;color:#94a3b8;font-size:11px;margin:18px} @media(max-width:1100px){.grid{grid-template-columns:repeat(3,1fr)}} @@ -40,6 +42,7 @@ tr.link{cursor:pointer}tr.link:hover{background:#f8fafc}

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
@@ -254,6 +257,21 @@ function renderView(){ drawChart(item); } +/* Cost 抓取时间晚于数据周期时提示，避免误用滞后的 GP */ +function renderAlert(){ + const sands=report.sands||{},p=report.period||{},box=$('alert'); + const messages=[]; + if(!sands.by_pkg&&!ok(sands.total_cost)) + messages.push('Cost 数据缺失：尚未抓取 Sands，GP 与 GP rate 无法计算。'); + else if(sands.stale) + messages.push(`Cost 数据滞后：Sands 抓取于 ${esc(sands.fetched_date||String(sands.fetched_at||'').slice(0,10))}，` + +`数据周期到 ${esc(p.end||'—')}，滞后约 ${num(sands.lag_days)} 天。` + +'GP 与完成率会偏高，请重新抓取后再用于汇报。'); + if(sands.carried_over) + messages.push('Cost 沿用上次抓取值：本次更新未包含新的 Sands 数据。'); + box.innerHTML=messages.length?`
${messages.join('
')}
`:''; +} + function render(){ const p=report.period||{},sands=report.sands||{}; $('period').textContent=`${p.start||'—'} 至 ${p.end||'—'} · ${num(p.days)}/${num(p.month_days)} 天 · 时间进度 ${pct(p.time_progress_percent)}`; @@ -261,7 +279,7 @@ function render(){ if(sands.fetched_at)parts.push(`Sands Cost 抓取于 ${esc(String(sands.fetched_at).replace('T',' '))}`); if(sands.carried_over)parts.push('Cost 沿用上次抓取值'); $('updated').innerHTML=parts.join('
'); - renderTabs();renderView(); + renderAlert();renderTabs();renderView(); } window.addEventListener('resize',()=>{if(report&¤t!=='overview')drawChart(findAccount(current))}); diff --git a/update_report_data.py b/update_report_data.py index 4f00380..83a4877 100644 --- a/update_report_data.py +++ b/update_report_data.py @@ -576,13 +576,35 @@ def main(): sheets = config["sheets"] now = datetime.now(TIMEZONE) - end_date = now.date() - timedelta(days=1) - start_date = end_date.replace(day=1) + # 默认当月 1 号至昨天；--month YYYY-MM 可指定月份（如已结束的月份则取整月） + month_arg = next((item.split("=", 1)[-1] for item in sys.argv[2:] if item.startswith("--month")), None) + if month_arg: + year, month = (int(part) for part in month_arg.split("-")[:2]) + start_date = datetime(year, month, 1).date() + else: + start_date = (now.date() - timedelta(days=1)).replace(day=1) + month_end = (start_date.replace(day=28) + timedelta(days=4)).replace(day=1) - timedelta(days=1) + end_date = min(month_end, now.date() - timedelta(days=1)) + if end_date < start_date: + raise SystemExit(f"指定月份 {start_date:%Y-%m} 尚无已结束的日期") days = (end_date - start_date).days + 1 - month_days = ((start_date.replace(day=28) + timedelta(days=4)).replace(day=1) - timedelta(days=1)).day + month_days = month_end.day print(f"取数范围：{start_date} 至 {end_date}（{days}/{month_days} 天）") sands = load_sands() + # 判断 Cost 是否滞后于数据周期：抓取日在周期结束日当天或更早，说明未覆盖完整周期 + if sands and sands.get("fetched_at"): + try: + fetched = datetime.fromisoformat(sands["fetched_at"]).date() + except ValueError: + fetched = None + if fetched: + sands["fetched_date"] = fetched.isoformat() + lag = (end_date - fetched).days + 1 + sands["lag_days"] = max(0, lag) + sands["stale"] = lag > 0 + if sands["stale"]: + print(f"警告：Sands Cost 抓取于 {fetched}，可能未覆盖到 {end_date}，滞后约 {lag} 天") try: target_rows, _ = fetch_rows(config["target_spreadsheet_id"], config["target_gid"]) targets = read_targets(target_rows)