Skip to main content
Glama

Financial News and Notes MCP Server

MIT License
129
199
  • Apple
  • Linux
usIncomeFormatters.ts8.39 kB
// 美股利润表数据格式化器 export interface UsIncomeItem { ts_code: string; end_date: string; ind_type: string; name: string; ind_name: string; ind_value: number; report_type: string; } // 格式化美股利润表数据 export function formatUsIncomeData(data: UsIncomeItem[], ts_code: string, dataType: string) { if (!data || data.length === 0) { return { content: [ { type: "text", text: `# ${ts_code} 美股利润表数据\n\n❌ 未找到相关数据` } ] }; } // 获取股票名称 const stockName = data[0]?.name || ts_code; // 按报告期分组 const groupedByPeriod = groupByPeriod(data); let content = `# ${stockName} (${ts_code}) 美股利润表数据\n\n`; // 按报告期展示数据 for (const [period, items] of Object.entries(groupedByPeriod)) { const reportType = items[0]?.report_type || '未知'; content += `## 📊 ${formatPeriod(period)} ${reportType}\n\n`; content += `| 财务科目 | 金额(美元) | 备注 |\n`; content += `|---------|-----------|------|\n`; // 按重要性排序财务科目 const sortedItems = sortIncomeItems(items); for (const item of sortedItems) { const formattedValue = formatCurrency(item.ind_value); const category = getIncomeCategory(item.ind_name); content += `| **${item.ind_name}** | ${formattedValue} | ${category} |\n`; } content += `\n`; // 添加关键指标分析 content += generateKeyMetricsAnalysis(items, period); content += `\n---\n\n`; } // 添加多期对比分析(如果有多个报告期) if (Object.keys(groupedByPeriod).length > 1) { content += generatePeriodComparison(groupedByPeriod); } // 添加数据说明 content += `\n## 📋 数据说明\n\n`; content += `- **数据来源**: Tushare美股财务数据\n`; content += `- **货币单位**: 美元(USD)\n`; content += `- **更新时间**: ${new Date().toLocaleDateString('zh-CN')}\n`; content += `- **数据条数**: ${data.length} 条财务科目数据\n`; return { content: [ { type: "text", text: content } ] }; } // 按报告期分组数据 function groupByPeriod(data: UsIncomeItem[]): { [period: string]: UsIncomeItem[] } { return data.reduce((groups, item) => { const period = item.end_date; if (!groups[period]) { groups[period] = []; } groups[period].push(item); return groups; }, {} as { [period: string]: UsIncomeItem[] }); } // 格式化报告期显示 function formatPeriod(period: string): string { if (!period || period.length !== 8) return period; const year = period.substring(0, 4); const month = period.substring(4, 6); const day = period.substring(6, 8); // 判断报告期类型 if (month === '12' && day === '31') { return `${year}年年报`; } else if (month === '06' && day === '30') { return `${year}年中报`; } else if (month === '09' && day === '30') { return `${year}年三季报`; } else if (month === '03' && day === '31') { return `${year}年一季报`; } else { return `${year}-${month}-${day}`; } } // 格式化货币金额 function formatCurrency(value: number): string { if (value === null || value === undefined) return 'N/A'; const absValue = Math.abs(value); let formatted: string; let unit: string; if (absValue >= 1e12) { formatted = (value / 1e12).toFixed(2); unit = '万亿'; } else if (absValue >= 1e9) { formatted = (value / 1e9).toFixed(2); unit = '十亿'; } else if (absValue >= 1e6) { formatted = (value / 1e6).toFixed(2); unit = '百万'; } else if (absValue >= 1e3) { formatted = (value / 1e3).toFixed(2); unit = '千'; } else { formatted = value.toFixed(2); unit = ''; } return `$${formatted}${unit}`; } // 获取财务科目分类 function getIncomeCategory(indName: string): string { const categories: { [key: string]: string } = { '营业收入': '收入', '营业成本': '成本', '毛利': '利润', '研发费用': '费用', '营销费用': '费用', '管理费用': '费用', '利息收入': '收入', '利息费用': '费用', '税前利润': '利润', '净利润': '利润', '每股收益': '指标' }; for (const [key, category] of Object.entries(categories)) { if (indName.includes(key)) { return category; } } return '其他'; } // 按重要性排序财务科目 function sortIncomeItems(items: UsIncomeItem[]): UsIncomeItem[] { const priority: { [key: string]: number } = { '营业收入': 1, '营业成本': 2, '毛利': 3, '研发费用': 4, '营销费用': 5, '管理费用': 6, '营业利润': 7, '利息收入': 8, '利息费用': 9, '税前利润': 10, '所得税费用': 11, '净利润': 12, '每股基本收益': 13, '每股稀释收益': 14, '其他全面收益': 15, '全面收益总额': 16 }; return items.sort((a, b) => { const priorityA = priority[a.ind_name] || 999; const priorityB = priority[b.ind_name] || 999; return priorityA - priorityB; }); } // 生成关键指标分析 function generateKeyMetricsAnalysis(items: UsIncomeItem[], period: string): string { const metrics: { [key: string]: number | null } = {}; // 提取关键指标 items.forEach(item => { metrics[item.ind_name] = item.ind_value; }); let analysis = `### 📈 ${formatPeriod(period)} 关键指标分析\n\n`; // 营收相关 if (metrics['营业收入']) { analysis += `- **营业收入**: ${formatCurrency(metrics['营业收入']!)}\n`; } // 盈利相关 if (metrics['毛利'] && metrics['营业收入']) { const grossMargin = (metrics['毛利']! / metrics['营业收入']!) * 100; analysis += `- **毛利率**: ${grossMargin.toFixed(2)}%\n`; } if (metrics['净利润']) { analysis += `- **净利润**: ${formatCurrency(metrics['净利润']!)}\n`; } if (metrics['净利润'] && metrics['营业收入']) { const netMargin = (metrics['净利润']! / metrics['营业收入']!) * 100; analysis += `- **净利率**: ${netMargin.toFixed(2)}%\n`; } // 每股指标 if (metrics['每股基本收益']) { analysis += `- **每股基本收益**: $${metrics['每股基本收益']!.toFixed(4)}\n`; } return analysis; } // 生成多期对比分析 function generatePeriodComparison(groupedData: { [period: string]: UsIncomeItem[] }): string { const periods = Object.keys(groupedData).sort(); if (periods.length < 2) return ''; let comparison = `## 📊 多期对比分析\n\n`; comparison += `| 财务科目 | ${periods.map(p => formatPeriod(p)).join(' | ')} | 变化趋势 |\n`; comparison += `|---------|${periods.map(() => '----------').join('|')}|----------|\n`; // 获取所有财务科目 const allIndicators = new Set<string>(); Object.values(groupedData).forEach(items => { items.forEach(item => allIndicators.add(item.ind_name)); }); // 重要指标优先 const importantIndicators = ['营业收入', '毛利', '净利润', '每股基本收益']; const sortedIndicators = [ ...importantIndicators.filter(ind => allIndicators.has(ind)), ...Array.from(allIndicators).filter(ind => !importantIndicators.includes(ind)) ]; for (const indicator of sortedIndicators) { const values: (number | null)[] = []; for (const period of periods) { const item = groupedData[period].find(item => item.ind_name === indicator); values.push(item ? item.ind_value : null); } // 计算趋势 const trend = calculateTrend(values); const formattedValues = values.map(v => v !== null ? formatCurrency(v) : 'N/A'); comparison += `| **${indicator}** | ${formattedValues.join(' | ')} | ${trend} |\n`; } return comparison + '\n'; } // 计算趋势 function calculateTrend(values: (number | null)[]): string { const validValues = values.filter(v => v !== null) as number[]; if (validValues.length < 2) return '📊 数据不足'; const first = validValues[0]; const last = validValues[validValues.length - 1]; if (last > first * 1.1) return '📈 上升'; if (last < first * 0.9) return '📉 下降'; return '➡️ 平稳'; }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/guangxiangdebizi/my-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server