feat: 泡泡玛特增加年度、半年数据区分

This commit is contained in:
2026-08-30 14:49:27 +08:00
parent d010b107aa
commit d51890a450
69 changed files with 1109 additions and 258 deletions
+386
View File
@@ -258,3 +258,389 @@ writeCSV('ppmt_channel_revenue.csv', [
], channelRows);
console.log(`已生成现金转换 ${cashConversionRows.length}、流动性 ${liquidityRows.length}、现金流 ${cashflowCompositionRows.length}、营运资本 ${workingCapitalDaysRows.length}、费用 ${expenseRows.length}、渠道 ${channelRows.length} 行数据。`);
// 多维度图表:FY 为全年,H1/H2 为独立半年。所有拆分和同比均在数据层完成。
const VIEW_YEARS = Array.from({ length: 8 }, (_, index) => 2019 + index);
const OUTPUT_START_YEAR = 2020;
const HUNDRED_MILLION = 100000000;
function isComplete(values) {
return values && Object.values(values).every((value) => Number.isFinite(value));
}
function subtractPeriod(fullYear, firstHalf) {
if (!isComplete(fullYear) || !isComplete(firstHalf)) return null;
return Object.fromEntries(Object.keys(fullYear).map((key) => [key, fullYear[key] - firstHalf[key]]));
}
function buildViews(readPeriod) {
const views = { all: [], annual: [], halfyear: [] };
VIEW_YEARS.forEach((year) => {
const h1 = readPeriod(year, 'H1');
const fy = readPeriod(year, 'FY');
const h2 = subtractPeriod(fy, h1);
if (h1) {
const row = { period: `${year}H1`, ...h1 };
views.halfyear.push(row);
views.all.push(row);
}
if (h2) {
const row = { period: `${year}H2`, ...h2 };
views.halfyear.push(row);
views.all.push(row);
}
if (fy) {
const row = { period: `${year}FY`, ...fy };
views.annual.push(row);
views.all.push(row);
}
});
return views;
}
function addPeriods(firstHalf, secondHalf) {
if (!isComplete(firstHalf) || !isComplete(secondHalf)) return null;
return Object.fromEntries(Object.keys(firstHalf).map((key) => [key, firstHalf[key] + secondHalf[key]]));
}
// IP、品类等运营数据的 H2 已是单独半年,年度值应由 H1 + H2 汇总。
function buildViewsFromHalfYears(readPeriod) {
const views = { all: [], annual: [], halfyear: [] };
VIEW_YEARS.forEach((year) => {
const h1 = readPeriod(year, 'H1');
const h2 = readPeriod(year, 'H2');
const fy = addPeriods(h1, h2);
if (h1) {
const row = { period: `${year}H1`, ...h1 };
views.halfyear.push(row);
views.all.push(row);
}
if (h2) {
const row = { period: `${year}H2`, ...h2 };
views.halfyear.push(row);
views.all.push(row);
}
if (fy) {
const row = { period: `${year}FY`, ...fy };
views.annual.push(row);
views.all.push(row);
}
});
return views;
}
function yoyFor(rows, key, outputKey = key) {
const byPeriod = new Map(rows.map((row) => [row.period, row]));
return rows.map((row) => {
const year = Number(row.period.slice(0, 4));
const prior = byPeriod.get(`${year - 1}${row.period.slice(4)}`);
return {
...row,
[outputKey]: prior && prior[key] !== 0 ? (row[key] / prior[key] - 1) * 100 : null,
};
});
}
function toOutputRows(rows, headers, digits = {}) {
return rows
.filter((row) => Number(row.period.slice(0, 4)) >= OUTPUT_START_YEAR)
.map((row) => headers.map((header) => {
if (header === 'period') return row.period;
const value = row[header];
return Number.isFinite(value) ? value.toFixed(digits[header] ?? 2) : '';
}));
}
function writeViewFiles(base, headers, views, digits) {
const filenames = {
all: `${base}.csv`,
annual: `${base}_annual.csv`,
halfyear: `${base}_halfyear.csv`,
};
Object.entries(filenames).forEach(([view, filename]) => {
writeCSV(filename, headers, toOutputRows(views[view], headers, digits));
});
}
const incomeDateIndex = new Map(income.dates.map((date, index) => [date, index]));
const incomeColumns = {
revenue: row(income, '一、营业总收入'),
cost: row(income, '营业成本'),
sales_expense: row(income, '减:销售费用'),
admin_expense: row(income, '管理费用'),
net_profit: row(income, '三、净利润'),
non_gaap_net_profit: row(income, '非国际公认会计准则净利润'),
};
function incomePeriod(year, type) {
const date = `${year}-${type === 'H1' ? '06-30' : '12-31'}`;
const index = incomeDateIndex.get(date);
if (index === undefined) return null;
const result = Object.fromEntries(Object.entries(incomeColumns).map(([key, values]) => [key, values[index]]));
// 2020 年非 GAAP 净利未披露,沿用现有图表的归母净利替代口径。
result.non_gaap_net_profit ??= result.net_profit;
return isComplete(result) ? result : null;
}
const cashflowDateIndex = new Map(cashflow.dates.map((date, index) => [date, index]));
const cashflowColumns = {
operating_cash_flow: row(cashflow, '经营活动产生的现金流量净额'),
investing_cash_flow: row(cashflow, '投资活动产生的现金流量净额'),
financing_cash_flow: row(cashflow, '筹资活动产生的现金流量净额'),
net_cash_increase: row(cashflow, '现金及现金等价物的净增加额'),
};
function cashflowPeriod(year, type) {
const date = `${year}-${type === 'H1' ? '06-30' : '12-31'}`;
const index = cashflowDateIndex.get(date);
if (index === undefined) return null;
const result = Object.fromEntries(Object.entries(cashflowColumns).map(([key, values]) => [key, values[index]]));
return isComplete(result) ? result : null;
}
function inBillion(values) {
return Object.fromEntries(Object.entries(values).map(([key, value]) => [key, value / HUNDRED_MILLION]));
}
const growthViews = buildViews((year, type) => {
const values = incomePeriod(year, type);
return values && {
non_gaap_net_profit: values.non_gaap_net_profit,
gross_profit: values.revenue - values.cost,
revenue: values.revenue,
cost: values.cost,
};
});
Object.keys(growthViews).forEach((view) => {
['non_gaap_net_profit', 'gross_profit', 'revenue', 'cost'].forEach((key) => {
growthViews[view] = yoyFor(growthViews[view], key);
});
});
writeViewFiles('ppmt_growth', ['period', 'non_gaap_net_profit', 'gross_profit', 'revenue', 'cost'], growthViews, {
non_gaap_net_profit: 1, gross_profit: 1, revenue: 1, cost: 1,
});
const coreProfitViews = buildViews((year, type) => {
const values = incomePeriod(year, type);
return values && { core_profit: (values.revenue - values.cost - values.sales_expense - values.admin_expense) / HUNDRED_MILLION };
});
Object.keys(coreProfitViews).forEach((view) => {
coreProfitViews[view] = yoyFor(coreProfitViews[view], 'core_profit', 'yoy');
});
writeViewFiles('ppmt_core_profit', ['period', 'core_profit', 'yoy'], coreProfitViews, { core_profit: 2, yoy: 1 });
const marginAmountViews = buildViews((year, type) => {
const values = incomePeriod(year, type);
return values && {
revenue: values.revenue,
gross_profit: values.revenue - values.cost,
sales_expense: values.sales_expense,
admin_expense: values.admin_expense,
non_gaap_net_profit: values.non_gaap_net_profit,
};
});
const marginsViews = Object.fromEntries(Object.entries(marginAmountViews).map(([view, rows]) => [
view,
rows.map((values) => {
if (values.revenue === 0) return values;
return {
period: values.period,
gross_margin: values.gross_profit / values.revenue * 100,
sales_expense_rate: values.sales_expense / values.revenue * 100,
admin_expense_rate: values.admin_expense / values.revenue * 100,
non_gaap_net_margin: values.non_gaap_net_profit / values.revenue * 100,
};
}),
]));
writeViewFiles('ppmt_margins', ['period', 'gross_margin', 'sales_expense_rate', 'admin_expense_rate', 'non_gaap_net_margin'], marginsViews, {
gross_margin: 2, sales_expense_rate: 2, admin_expense_rate: 2, non_gaap_net_margin: 2,
});
const cashConversionViews = buildViews((year, type) => {
const flow = cashflowPeriod(year, type);
const incomeValues = incomePeriod(year, type);
if (!flow || !incomeValues) return null;
return inBillion({
operating_cash_flow: flow.operating_cash_flow,
net_profit: incomeValues.net_profit,
});
});
Object.values(cashConversionViews).forEach((rows) => rows.forEach((row) => {
row.cash_conversion = row.net_profit === 0 ? null : row.operating_cash_flow / row.net_profit * 100;
}));
writeViewFiles('ppmt_cash_conversion', ['period', 'operating_cash_flow', 'net_profit', 'cash_conversion'], cashConversionViews, {
operating_cash_flow: 2, net_profit: 2, cash_conversion: 1,
});
const cashflowCompositionViews = buildViews((year, type) => {
const values = cashflowPeriod(year, type);
return values && inBillion(values);
});
writeViewFiles('ppmt_cashflow_composition', ['period', 'operating_cash_flow', 'investing_cash_flow', 'financing_cash_flow', 'net_cash_increase'], cashflowCompositionViews, {
operating_cash_flow: 2, investing_cash_flow: 2, financing_cash_flow: 2, net_cash_increase: 2,
});
const channelKeysForViews = [
['零售店銷售收益', 'retail'],
['線上銷售收益', 'online'],
['機器人商店銷售收益', 'robot_store'],
['批發收益', 'wholesale'],
];
const revenueDateIndex = new Map(revenueComposition.dates.map((date, index) => [date, index]));
function channelPeriod(year, type) {
const index = revenueDateIndex.get(`${year}-Q${type === 'H1' ? 2 : 4}`);
if (index === undefined) return null;
const values = Object.fromEntries(channelKeysForViews.map(([name, key]) => [
key, revenueComposition.channels.get(`${name}:收入`)?.[index] ?? null,
]));
const total = revenueComposition.channels.get('totalRevenue')?.[index] ?? null;
return isComplete({ ...values, total }) ? inBillion({ ...values, total_revenue: total }) : null;
}
const channelRevenueViews = buildViews(channelPeriod);
Object.keys(channelRevenueViews).forEach((view) => {
channelRevenueViews[view] = yoyFor(channelRevenueViews[view], 'total_revenue', 'revenue_yoy');
});
writeViewFiles('ppmt_channel_revenue', ['period', 'retail', 'online', 'robot_store', 'wholesale', 'total_revenue', 'revenue_yoy'], channelRevenueViews, {
retail: 2, online: 2, robot_store: 2, wholesale: 2, total_revenue: 2, revenue_yoy: 1,
});
console.log('已生成首批六图的全部、年度、半年 CSV。');
const profitViews = buildViews((year, type) => {
const values = incomePeriod(year, type);
return values && inBillion({
revenue: values.revenue,
gross_profit: values.revenue - values.cost,
net_profit: values.net_profit,
});
});
Object.values(profitViews).forEach((rows) => rows.forEach((item) => {
item.gross_margin = item.revenue === 0 ? null : item.gross_profit / item.revenue * 100;
}));
writeViewFiles('ppmt_profit', ['period', 'revenue', 'gross_profit', 'gross_margin', 'net_profit'], profitViews, {
revenue: 2, gross_profit: 2, gross_margin: 2, net_profit: 2,
});
const coreMarginViews = buildViews((year, type) => {
const values = incomePeriod(year, type);
return values && {
revenue: values.revenue,
core_profit: values.revenue - values.cost - values.sales_expense - values.admin_expense,
};
});
Object.values(coreMarginViews).forEach((rows) => rows.forEach((item) => {
item.core_margin = item.revenue === 0 ? null : item.core_profit / item.revenue * 100;
}));
writeViewFiles('ppmt_core_margin', ['period', 'core_margin'], coreMarginViews, { core_margin: 1 });
const expenseAmountViews = buildViews((year, type) => {
const values = incomePeriod(year, type);
if (!values) return null;
const financialExpense = row(income, '财务费用')[incomeDateIndex.get(`${year}-${type === 'H1' ? '06-30' : '12-31'}`)];
return {
revenue: values.revenue,
sales_expense: values.sales_expense,
admin_expense: values.admin_expense,
financial_expense: financialExpense,
};
});
const expenseViews = Object.fromEntries(Object.entries(expenseAmountViews).map(([view, rows]) => [
view,
rows.map((item) => ({
...inBillion(item),
period: item.period,
four_expense_rate: (item.sales_expense + item.admin_expense + item.financial_expense) / item.revenue * 100,
})),
]));
writeViewFiles('ppmt_expense_structure', ['period', 'sales_expense', 'admin_expense', 'financial_expense', 'four_expense_rate'], expenseViews, {
sales_expense: 2, admin_expense: 2, financial_expense: 2, four_expense_rate: 1,
});
function readRuntimeRows(filename) {
const [header, ...lines] = fs.readFileSync(path.join(OUTPUT_DIR, filename), 'utf8').trim().split(/\r?\n/);
const headers = header.split(',');
return lines.map((line) => Object.fromEntries(line.split(',').map((cell, index) => {
const value = Number(cell);
return [headers[index], cell !== '' && Number.isFinite(value) ? value : cell];
})));
}
function writeRuntimeViews(base, headers, views, digits = {}) {
writeViewFiles(base, headers, views, digits);
}
function buildWideIpViews(filename) {
const rows = readRuntimeRows(filename);
const id = Object.keys(rows[0])[0];
const sourcePeriods = Object.keys(rows[0]).slice(1).filter((period) => /H[12]$/.test(period));
const years = [...new Set(sourcePeriods.map((period) => period.slice(0, 4)))];
const halfyear = sourcePeriods;
const annual = years.filter((year) => sourcePeriods.includes(`${year}H1`) && sourcePeriods.includes(`${year}H2`)).map((year) => `${year}FY`);
const all = years.flatMap((year) => [
...(sourcePeriods.includes(`${year}H1`) ? [`${year}H1`] : []),
...(sourcePeriods.includes(`${year}H2`) ? [`${year}H2`, `${year}FY`] : []),
]);
const valuesFor = (periods) => rows.map((row) => [row[id], ...periods.map((period) => {
if (!period.endsWith('FY')) return row[period];
return row[`${period.slice(0, 4)}H1`] + row[`${period.slice(0, 4)}H2`];
})]);
writeCSV(filename, [id, ...all], valuesFor(all));
writeCSV(filename.replace('.csv', '_annual.csv'), [id, ...annual], valuesFor(annual));
writeCSV(filename.replace('.csv', '_halfyear.csv'), [id, ...halfyear], valuesFor(halfyear));
}
buildWideIpViews('ppmt_ip.csv');
buildWideIpViews('ppmt_ip_share_history.csv');
const ipExMonstersRows = readRuntimeRows('ppmt_ip_ex_monsters.csv');
function ipExMonstersPeriod(year, type) {
const row = ipExMonstersRows.find((item) => item.period === `${year}${type}`);
return row ? { revenue: row.revenue } : null;
}
const ipExMonstersViews = buildViewsFromHalfYears(ipExMonstersPeriod);
Object.keys(ipExMonstersViews).forEach((view) => {
ipExMonstersViews[view] = yoyFor(ipExMonstersViews[view], 'revenue', 'yoy');
});
writeRuntimeViews('ppmt_ip_ex_monsters', ['period', 'revenue', 'yoy'], ipExMonstersViews, { revenue: 2, yoy: 1 });
const categoryRows = readRuntimeRows('ppmt_category.csv').filter((item) => item.period !== '品类');
function categoryPeriod(year, type) {
const row = categoryRows.find((item) => item.period === `${year}${type}`);
return row && { plush: row.plush, figure: row.figure, mega: row.mega, other: row.other };
}
const categoryViews = buildViewsFromHalfYears(categoryPeriod);
writeRuntimeViews('ppmt_category', ['period', 'plush', 'figure', 'mega', 'other'], categoryViews, {
plush: 2, figure: 2, mega: 2, other: 2,
});
// 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(`${base}.csv`);
const views = { all: [], annual: [], halfyear: [] };
VIEW_YEARS.forEach((year) => {
const h1 = source.find((row) => row.period === `${year}H1`);
const yearEnd = source.find((row) => row.period === `${year}H2` || row.period === `${year}FY`);
if (h1) {
const row = { ...h1, period: `${year}H1` };
views.all.push(row);
views.halfyear.push(row);
}
if (yearEnd) {
const halfyearRow = { ...yearEnd, period: `${year}H2` };
views.all.push(halfyearRow);
views.halfyear.push(halfyearRow);
views.annual.push({ ...yearEnd, period: `${year}FY` });
}
});
writeRuntimeViews(base, headers, views, digits);
}
buildSnapshotViews('ppmt_assets', ['period', 'total_assets', 'cash_like', 'receivables', 'investment', 'operating_assets'], {
total_assets: 2, cash_like: 2, receivables: 2, investment: 2, operating_assets: 2,
});
buildSnapshotViews('ppmt_liquidity_working_capital', ['period', 'cash', 'total_liabilities', 'net_working_capital'], {
cash: 2, total_liabilities: 2, net_working_capital: 2,
});
console.log('已生成第二批连续图表的全部、年度、半年 CSV。');