feat: 更新泡泡玛特图表，加入单店收入

scripts/normalize_ppmt_financials.mjs

@@ -184,13 +184,21 @@ const workingCapitalDaysRows = indicators.dates.map((date, index) => ({
 })).filter((item) => (
   item.date >= '2020-01-01'
   && item.inventory !== null && item.receivable !== null && item.payable !== null
-)).map((item) => [
-  periodFor(item.date),
-  item.inventory.toFixed(1),
-  item.receivable.toFixed(1),
-  item.payable.toFixed(1),
-  (item.inventory + item.receivable - item.payable).toFixed(1),
-]).reverse();
+)).map((item) => {
+  const period = periodFor(item.date);
+  // 原始指标表按半年 180 天、全年 360 天计算；此处统一换算为自然日 181/365 天。
+  const factor = period.endsWith('H1') ? 181 / 180 : 365 / 360;
+  const inventory = item.inventory * factor;
+  const receivable = item.receivable * factor;
+  const payable = item.payable * factor;
+  return [
+    period,
+    inventory.toFixed(1),
+    receivable.toFixed(1),
+    payable.toFixed(1),
+    (inventory + receivable - payable).toFixed(1),
+  ];
+}).reverse();
 
 writeCSV('ppmt_working_capital_days.csv', [
   'period', 'inventory_days', 'receivable_days', 'payable_days', 'cash_conversion_cycle',
@@ -341,9 +349,9 @@ function yoyFor(rows, key, outputKey = key) {
   });
 }
 
-function toOutputRows(rows, headers, digits = {}) {
+function toOutputRows(rows, headers, digits = {}, startYear = OUTPUT_START_YEAR) {
   return rows
-    .filter((row) => Number(row.period.slice(0, 4)) >= OUTPUT_START_YEAR)
+    .filter((row) => Number(row.period.slice(0, 4)) >= startYear)
     .map((row) => headers.map((header) => {
       if (header === 'period') return row.period;
       const value = row[header];
@@ -351,14 +359,14 @@ function toOutputRows(rows, headers, digits = {}) {
     }));
 }
 
-function writeViewFiles(base, headers, views, digits) {
+function writeViewFiles(base, headers, views, digits, startYear = OUTPUT_START_YEAR) {
   const filenames = {
     all: `${base}.csv`,
     annual: `${base}_annual.csv`,
     halfyear: `${base}_halfyear.csv`,
   };
   Object.entries(filenames).forEach(([view, filename]) => {
-    writeCSV(filename, headers, toOutputRows(views[view], headers, digits));
+    writeCSV(filename, headers, toOutputRows(views[view], headers, digits, startYear));
   });
 }
 
@@ -614,6 +622,31 @@ writeRuntimeViews('ppmt_category', ['period', 'plush', 'figure', 'mega', 'other'
   plush: 2, figure: 2, mega: 2, other: 2,
 });
 
+// 2024H1 起门店披露可将中国内地与港澳台合并，并按全球总数归一化为地区占比。
+const retailStoreRows = readRuntimeRows('ppmt_stores_retail.csv');
+const retailStoreShareViews = { all: [], annual: [], halfyear: [] };
+retailStoreRows.filter((row) => (
+  Number(row.period.slice(0, 4)) >= 2024
+  && ['mainland', 'hkmtw', 'apac', 'americas', 'europe', 'global'].every((key) => Number.isFinite(row[key]))
+)).forEach((row) => {
+  const china = row.mainland + row.hkmtw;
+  const other = row.global - china - row.apac - row.americas - row.europe;
+  const shareRow = {
+    period: row.period,
+    global: row.global,
+    china: china / row.global * 100,
+    apac: row.apac / row.global * 100,
+    americas: row.americas / row.global * 100,
+    europe: row.europe / row.global * 100,
+    other: other / row.global * 100,
+  };
+  retailStoreShareViews.all.push(shareRow);
+  retailStoreShareViews[row.period.endsWith('FY') ? 'annual' : 'halfyear'].push(shareRow);
+});
+writeRuntimeViews('ppmt_stores_retail_share', ['period', 'global', 'china', 'apac', 'americas', 'europe', 'other'], retailStoreShareViews, {
+  global: 0, china: 1, apac: 1, americas: 1, europe: 1, other: 1,
+});
+
 // 资产负债表为时点指标：H2 是年末时点，而非“全年累计”。
 function buildSnapshotViews(base, headers, digits) {
   const source = readRuntimeRows(`${base}.csv`);
@@ -643,4 +676,25 @@ buildSnapshotViews('ppmt_liquidity_working_capital', ['period', 'cash', 'total_l
   cash: 2, total_liabilities: 2, net_working_capital: 2,
 });
 
+// 存货为资产负债表期末时点数：半年仅取中报期末，年度仅取年报期末。
+// 同比严格按相同报告期（H1 对 H1、FY 对 FY）计算，不把中报与年报交叉比较。
+const inventoryBalances = row(balance, '存货');
+const inventoryViews = { all: [], annual: [], halfyear: [] };
+balance.dates.map((date, index) => ({
+  date,
+  inventory: inventoryBalances[index],
+})).filter(({ date, inventory }) => (
+  date >= '2017-01-01' && inventory > 0 && (date.endsWith('-06-30') || date.endsWith('-12-31'))
+)).sort((a, b) => a.date.localeCompare(b.date)).forEach(({ date, inventory }) => {
+  const row = { period: periodFor(date), inventory: inventory / HUNDRED_MILLION };
+  inventoryViews.all.push(row);
+  inventoryViews[row.period.endsWith('FY') ? 'annual' : 'halfyear'].push(row);
+});
+Object.keys(inventoryViews).forEach((view) => {
+  inventoryViews[view] = yoyFor(inventoryViews[view], 'inventory', 'yoy');
+});
+writeViewFiles('ppmt_inventory', ['period', 'inventory', 'yoy'], inventoryViews, {
+  inventory: 2, yoy: 1,
+}, 2017);
+
 console.log('已生成第二批连续图表的全部、年度、半年 CSV。');