feat(宏观): ifinance 分类动态挂载为宏观 tab, 报警迁入监控, 下线油价/本地经济数据/策略研究

- 宏观只保留本地 新闻/经济文章, 外接 ifinance categories[] 动态成为 tab (纯前端直连, CORS/_headers, https)
- 报警从宏观迁到监控第 4 个 tab (保留 Alert 模块, 供未来新增报警源)
- 彻底删除油价/经济数据/策略研究: 前端组件+api、后端 apizero/data 路由、cron、fetchers、种子数据
- 新增迁移 DROP Indicator/IndicatorPoint/Strategy/OilPriceHistory; 重新生成 Prisma Client
- CSP 放开 *.honor3.com (含端口通配), 避免新增子域反复重装外壳

scripts/fetchers/eastmoney-mcp.fetcher.js

@@ -1,303 +0,0 @@
-// 东方财富妙想 MCP 数据源
-// 协议: StreamableHttp (MCP 2025-03-26 spec), HTTP POST + JSON-RPC 2.0
-//   - 认证: header `em_api_key: <EM_API_KEY>`
-//   - 妙想 MCP 是"自然语言驱动": 传 query 字符串, 内部 LLM 解析 + 调底层数据接口
-//   - 重要: 每次调用 5-20s + LLM token 成本, 必须配合"DB 优先" (refresh 时已存在的指标跳过)
-//
-// 需要的 .env:
-//   EM_API_KEY=xxx                  必填
-//   EASTMONEY_MCP_BASE=...          可选, 默认 https://mxapi.eastmoney.com/mxds/mcp
-//
-// INDICATORS 数组: 配置要拉的指标
-//   每项:
-//     name      → Indicator.name (主键)
-//     groupName → Indicator.groupName
-//     title     → data.title
-//     unit      → data.unit
-//     tool      → MCP tool 名
-//     query     → 自然语言查询
-//     pickSheet(sheets) → 选一张 sheet (默认取第一张)
-//     parseSheet(sheet) → [{period, value}, ...]   默认按宽表转长表 (列=日期, 行=值)
-
-import axios from 'axios'
-
-const DEFAULT_BASE = 'https://mxapi.eastmoney.com/mxds/mcp'
-const TIMEOUT = 60000
-
-// ====== INDICATORS 配置 ======
-// 跑 npm run data:discover 看可用 tool, 再加新指标
-const INDICATORS = [
-  {
-    name: 'china-cpi-yoy',
-    groupName: 'china-macro',
-    title: '中国 CPI 同比',
-    unit: '%',
-    tool: 'mx_macro_data',
-    query: '查询中国 2015 年至今 CPI 月度同比数据，每一个月的数值',
-    pickSheet: (sheets) =>
-      sheets.find((s) => s.items?.[0]?.[0]?.includes('CPI') && s.items[0][0].includes('同比'))
-      || sheets.find((s) => s.sheetName?.includes('宏观数据'))
-      || sheets[0],
-  },
-  {
-    name: 'china-gdp-yoy',
-    groupName: 'china-macro',
-    title: '中国 GDP 同比',
-    unit: '%',
-    tool: 'mx_macro_data',
-    query: '查询中国 2015-2025 年 GDP 不变价同比增速，季度数据，每一季度的数值',
-    pickSheet: (sheets) =>
-      sheets.find((s) => s.items?.[0]?.[0]?.includes('GDP') && s.items[0][0].includes('同比'))
-      || sheets[0],
-  },
-  {
-    // 国债收益率: MCP 返回日频, 用月末降采样成月频点
-    name: 'china-bond-10y',
-    groupName: 'china-macro',
-    title: '中国国债 10 年期收益率',
-    unit: '%',
-    frequency: 'month',
-    tool: 'mx_macro_data',
-    query: '查询中国10年期国债到期收益率 2024年至今 每日数据',
-    pickSheet: (sheets) =>
-      sheets.find((s) => s.items?.some?.((row) => String(row[0] || '').includes('国债到期收益率:10年')))
-      || sheets[0],
-    parseSheet: (sheet) => monthEndSample(sheet, '国债到期收益率:10年'),
-  },
-  {
-    name: 'china-bond-1y',
-    groupName: 'china-macro',
-    title: '中国国债 1 年期收益率',
-    unit: '%',
-    frequency: 'month',
-    tool: 'mx_macro_data',
-    query: '查询中国1年期国债到期收益率 2024年至今 每日数据',
-    pickSheet: (sheets) =>
-      sheets.find((s) => s.items?.some?.((row) => String(row[0] || '').includes('国债到期收益率:1年')))
-      || sheets[0],
-    parseSheet: (sheet) => monthEndSample(sheet, '国债到期收益率:1年'),
-  },
-  {
-    name: 'china-lpr-1y',
-    groupName: 'china-macro',
-    title: '中国 LPR 1 年期',
-    unit: '%',
-    frequency: 'month',
-    tool: 'mx_macro_data',
-    query: '查询中国LPR 1年期贷款市场报价利率 2024年至今 月度数据，每一个月的数值',
-    pickSheet: (sheets) =>
-      sheets.find((s) => s.sheetName?.includes('宏观数据（月）'))
-      || sheets[0],
-    parseSheet: (sheet) => pickRowByKeyword(sheet, '(LPR):1年'),
-  },
-  {
-    name: 'china-lpr-5y',
-    groupName: 'china-macro',
-    title: '中国 LPR 5 年期',
-    unit: '%',
-    frequency: 'month',
-    tool: 'mx_macro_data',
-    query: '查询中国LPR 5年期以上贷款市场报价利率 2024年至今 月度数据，每一个月的数值',
-    pickSheet: (sheets) =>
-      sheets.find((s) => s.sheetName?.includes('宏观数据（月）'))
-      || sheets[0],
-    parseSheet: (sheet) => pickRowByKeyword(sheet, '(LPR):5年'),
-  },
-]
-
-export const META = {
-  name: 'eastmoney-mcp',
-  description: '东方财富妙想 MCP (StreamableHttp, NL 查询)',
-  docs: 'https://mxapi.eastmoney.com/mxds/doc/mcp-install.md',
-}
-
-// ====== StreamableHttp 客户端 ======
-
-class McpClient {
-  constructor(baseUrl, apiKey) {
-    this.baseUrl = baseUrl
-    this.apiKey = apiKey
-    this.id = 0
-  }
-  async _request(method, params) {
-    const payload = { jsonrpc: '2.0', id: ++this.id, method, ...(params ? { params } : {}) }
-    const resp = await axios.post(this.baseUrl, payload, {
-      timeout: TIMEOUT,
-      headers: {
-        'Content-Type': 'application/json',
-        'Accept': 'application/json, text/event-stream',
-        'em_api_key': this.apiKey,
-      },
-      responseType: 'text',
-      transformResponse: [(d) => d],
-      validateStatus: () => true,
-    })
-    if (resp.status >= 400) {
-      throw new Error(`HTTP ${resp.status}: ${String(resp.data).slice(0, 300)}`)
-    }
-    const parsed = parseMcpResponse(String(resp.data || ''))
-    // JSON-RPC 信封 {jsonrpc,id,result|error}, 统一解包 result
-    if (parsed.error) {
-      throw new Error(`MCP error ${parsed.error.code}: ${parsed.error.message}`)
-    }
-    return parsed.result || parsed
-  }
-  async listTools() {
-    const r = await this._request('tools/list')
-    return r.tools || []
-  }
-  async callTool(name, args = {}) {
-    const r = await this._request('tools/call', { name, arguments: args })
-    if (r.isError) {
-      const msg = (r.content || []).map((c) => c.text || '').join('; ')
-      throw new Error(`tool ${name} error: ${msg || JSON.stringify(r).slice(0, 200)}`)
-    }
-    return r
-  }
-}
-
-// 解析响应: JSON 或 SSE
-function parseMcpResponse(text) {
-  const t = text.trim()
-  if (t.startsWith('{')) return JSON.parse(t)
-  if (t.startsWith('data:')) {
-    const lines = t.split('\n').filter((l) => l.startsWith('data:'))
-    let last = null
-    for (const line of lines) {
-      const json = line.slice(5).trim()
-      if (!json || json === '[DONE]') continue
-      try { last = JSON.parse(json) } catch { /* skip */ }
-    }
-    if (!last) throw new Error('SSE 无有效 data 块: ' + text.slice(0, 200))
-    return last
-  }
-  throw new Error('未知响应格式: ' + t.slice(0, 200))
-}
-
-// 默认 sheet 解析: 宽表 (列=日期, 行=值) → 长表
-// 例: { columns:["指标","来源","2024-12","2024-11"], items:[["CPI","统计局","0.1","0.2"]] }
-//   → [{period:"2024-12", value:0.1}, {period:"2024-11", value:0.2}]
-// 返回时反转成从老到新
-function defaultParseSheet(sheet) {
-  if (!sheet || !sheet.columns || !sheet.items || !sheet.items[0]) return []
-  const cols = sheet.columns
-  const row = sheet.items[0]
-  const dates = cols.slice(2)         // 跳过 [指标名, 来源]
-  const values = row.slice(2)
-  const out = []
-  for (let i = 0; i < dates.length; i++) {
-    const v = parseFloat(values[i])
-    if (!isNaN(v)) out.push({ period: dates[i], value: v })
-  }
-  return out.reverse()  // 从老到新
-}
-
-// 宽表 → 长表, 指定 item 行 (按指标全名前缀匹配), 日频列降采样为月末值
-// 例: columns=["指标","来源","2026-08-05","2026-08-04",...] → [{period:"2024-01",value},...]
-function monthEndSample(sheet, keyword) {
-  if (!sheet || !sheet.columns || !sheet.items) return []
-  const row = sheet.items.find((r) => String(r[0] || '').includes(keyword))
-  if (!row) return []
-  const cols = sheet.columns
-  const dates = cols.slice(2)   // 新 → 老
-  const values = row.slice(2)
-  const out = []
-  const seen = new Set()
-  for (let i = 0; i < dates.length; i++) {
-    const v = parseFloat(values[i])
-    const m = String(dates[i] || '').slice(0, 7)   // "2024-01-02" → "2024-01"
-    if (!/^\d{4}-\d{2}$/.test(m) || Number.isNaN(v)) continue
-    if (seen.has(m)) continue   // 列是降序, 第一次遇到的即当月最后一个交易日
-    seen.add(m)
-    out.push({ period: m, value: v })
-  }
-  return out.reverse()  // 从老到新
-}
-
-// 宽表 → 长表, 指定 item 行 (按指标全名前缀匹配), 保留原频率 (月/季/年)
-function pickRowByKeyword(sheet, keyword) {
-  if (!sheet || !sheet.columns || !sheet.items) return []
-  const row = sheet.items.find((r) => String(r[0] || '').includes(keyword))
-  if (!row) return []
-  const cols = sheet.columns
-  const dates = cols.slice(2)
-  const values = row.slice(2)
-  const out = []
-  for (let i = 0; i < dates.length; i++) {
-    const v = parseFloat(values[i])
-    if (!Number.isNaN(v)) out.push({ period: String(dates[i]), value: v })
-  }
-  return out.reverse()  // 从老到新
-}
-
-// ====== fetcher 入口 ======
-
-export async function listAvailableTools() {
-  const key = process.env.EM_API_KEY
-  if (!key) throw new Error('缺少 EM_API_KEY')
-  const base = process.env.EASTMONEY_MCP_BASE || DEFAULT_BASE
-  const client = new McpClient(base, key)
-  return client.listTools()
-}
-
-// opts.skipNames: Set<string> — DB 已存在的指标名, 跳过不调 MCP (省 token)
-// opts.onlyNames: Set<string> — 白名单, 只跑这些 (用于补跑单个)
-export async function fetchAll(opts = {}) {
-  if (INDICATORS.length === 0) {
-    throw new Error('eastmoney-mcp: INDICATORS 数组为空, 加新指标见文件顶部注释')
-  }
-  const skip = opts.skipNames || new Set()
-  const force = opts.forceNames || new Set()
-  const only = opts.onlyNames || null
-
-  const key = process.env.EM_API_KEY
-  if (!key) throw new Error('缺少 EM_API_KEY')
-  const base = process.env.EASTMONEY_MCP_BASE || DEFAULT_BASE
-  const client = new McpClient(base, key)
-
-  const results = []
-  for (const cfg of INDICATORS) {
-    if (skip.has(cfg.name) && !force.has(cfg.name)) {
-      console.log(`[MCP] ${cfg.name} 跳过 (DB 已存在)`)
-      continue
-    }
-    if (only && !only.has(cfg.name)) continue
-    try {
-      console.log(`[MCP] ${cfg.name} 调用 ${cfg.tool}: ${cfg.query}`)
-      const r = await client.callTool(cfg.tool, { query: cfg.query })
-      const text = (r.content || []).map((c) => c.text || '').join('')
-      let payload
-      try { payload = JSON.parse(text) } catch { payload = { raw: text } }
-      const sheets = payload.data || (Array.isArray(payload) ? payload : [payload])
-      const sheet = cfg.pickSheet ? cfg.pickSheet(sheets) : sheets[0]
-      const parsed = cfg.parseSheet ? cfg.parseSheet(sheet) : defaultParseSheet(sheet)
-      if (parsed.length === 0) {
-        console.log(`[MCP] ${cfg.name} 返回空 rows, 跳过`)
-        continue
-      }
-      results.push({
-        name: cfg.name,
-        groupName: cfg.groupName,
-        data: {
-          unit: cfg.unit,
-          title: cfg.title,
-          source: 'eastmoney-mcp',
-          rows: parsed,
-        },
-      })
-      console.log(`[MCP] ${cfg.name} OK, ${parsed.length} rows (${parsed[0]?.period}..${parsed.at(-1)?.period})`)
-    } catch (e) {
-      console.error(`[MCP] ${cfg.name} FAIL: ${e.message}`)
-    }
-  }
-  // 全部被 DB 优先跳过时, 返回显式标记而不是空数组 (避免被误判为失败)
-  if (results.length === 0 && INDICATORS.every((cfg) => skip.has(cfg.name) && !force.has(cfg.name))) {
-    return { skipped: true, reason: 'DB 已存在全部指标' }
-  }
-  return results
-}
-
-
-
-
-

scripts/fetchers/index.js

@@ -1,83 +0,0 @@
-// Fetcher 注册表: 列出所有启用的数据源
-// 加新数据源只要:
-//   1. 写一个 scripts/fetchers/<source>.fetcher.js, 导出 META + fetchAll
-//   2. 在本文件 FETCHERS 数组里加一行
-//   3. 完事, refresh 脚本会自动跑
-
-// 每项的 schema:
-//   name:    数据源标识 (用于日志)
-//   module:  fetcher 模块路径 (相对 scripts/fetchers/)
-//   enabled: true/false, 可由 env 关闭 (如 ENABLE_EASTMONEY_MCP=0)
-//   env:     需要的环境变量名列表, 缺一即跳过
-export const FETCHERS = [
-  {
-    name: 'wb-indicators',
-    module: './wb-indicators.fetcher.js',
-    enabled: true,
-    env: [],
-  },
-  {
-    name: 'eastmoney-mcp',
-    module: './eastmoney-mcp.fetcher.js',
-    // 默认开启, 有 APIKey 才真正能跑 (fetcher 内部会自检)
-    enabled: process.env.ENABLE_EASTMONEY_MCP !== '0',
-    env: ['EM_API_KEY'],
-  },
-  // 后续在这里追加:
-  // { name: 'fred',     module: './fred.fetcher.js',          enabled: true, env: ['FRED_API_KEY'] },
-  // { name: 'tushare',  module: './tushare.fetcher.js',       enabled: true, env: ['TUSHARE_TOKEN'] },
-]
-
-// 校验环境变量, 返回 { ok, missing[] }
-export function checkEnv(required) {
-  const missing = required.filter((k) => !process.env[k] || !process.env[k].trim())
-  return { ok: missing.length === 0, missing }
-}
-
-// 加载并运行所有启用的 fetcher, 返回 [{ name, ok, items, error, skipped }]
-// 错误隔离: 一个 fetcher 挂了不影响其他
-// opts.skipNames:  Set<string> — DB 优先, 已存在的指标名, 透传给 fetcher
-// opts.forceNames: Set<string> — 强制刷新名单, 即使 skipNames 里有也照拉
-export async function runFetchers(opts = {}) {
-  const results = []
-  for (const meta of FETCHERS) {
-    if (!meta.enabled) {
-      results.push({ name: meta.name, skipped: true, reason: 'disabled' })
-      console.log(`[Fetcher] ${meta.name} 跳过 (disabled)`)
-      continue
-    }
-    const envCheck = checkEnv(meta.env)
-    if (!envCheck.ok) {
-      results.push({ name: meta.name, skipped: true, reason: `缺少 env: ${envCheck.missing.join(', ')}` })
-      console.log(`[Fetcher] ${meta.name} 跳过 (${envCheck.missing.join(', ')})`)
-      continue
-    }
-    try {
-      const mod = await import(meta.module)
-      if (!mod.META || !mod.fetchAll) {
-        throw new Error('fetcher 必须导出 META 和 fetchAll')
-      }
-      console.log(`[Fetcher] ${meta.name} 开始...`)
-      const out = await mod.fetchAll({ skipNames: opts.skipNames, onlyNames: opts.onlyNames, forceNames: opts.forceNames })
-      // fetcher 可返回 { skipped: true, reason } 表示"全部被 DB 优先跳过", 不算失败
-      if (out && out.skipped) {
-        results.push({ name: meta.name, skipped: true, reason: out.reason })
-        console.log(`[Fetcher] ${meta.name} 跳过 (${out.reason})`)
-        continue
-      }
-      const items = Array.isArray(out) ? out : []
-      // 校验返回结构
-      const valid = items.filter((it) => it && it.name && it.data && Array.isArray(it.data.rows))
-      if (valid.length === 0) {
-        throw new Error('fetcher 未返回任何有效指标 (需包含 name/data.rows)')
-      }
-      console.log(`[Fetcher] ${meta.name} 拉取 ${valid.length} 个指标`)
-      results.push({ name: meta.name, ok: true, items: valid })
-    } catch (e) {
-      results.push({ name: meta.name, ok: false, error: e.message })
-      console.error(`[Fetcher] ${meta.name} 失败: ${e.message}`)
-    }
-  }
-  return results
-}
-

scripts/fetchers/sh300.fetcher.js

@@ -1,168 +0,0 @@
-import axios from 'axios';
-import { fileURLToPath } from 'url';
-
-async function fetch(startDate = null, endDate = null, retryCount = 3) {
-  try {
-    const currentDate = new Date();
-
-    if (!startDate) {
-      startDate = new Date(currentDate);
-      startDate.setDate(startDate.getDate() - 30);
-      startDate = startDate.toISOString().split('T')[0];
-    }
-
-    if (!endDate) {
-      endDate = currentDate.toISOString().split('T')[0];
-    }
-
-    console.log('正在获取沪深300指数数据...');
-    console.log(`时间范围: ${startDate} 至 ${endDate}`);
-    console.log(`数据源: 腾讯财经API`);
-
-    // 沪深300指数代码
-    const symbol = '000300';
-    
-    // 使用腾讯财经的API端点获取历史数据
-    const response = await axios.get('https://web.ifzq.gtimg.cn/appstock/app/kline/kline?param=sh' + symbol + ',day,' + startDate + ',' + endDate + ',640', {
-      headers: {
-        'Accept': 'application/json',
-        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
-      },
-      timeout: 10000 // 设置10秒超时
-    });
-
-    console.log(`\nAPI状态: ${response.status}`);
-    
-    const data = response.data;
-    console.log(`响应数据:`, JSON.stringify(data, null, 2));
-    
-    const allData = [];
-
-    if (data && data.data && data.data['sh' + symbol] && data.data['sh' + symbol].day) {
-      const klineData = data.data['sh' + symbol].day;
-      console.log(`数据条数: ${klineData.length}`);
-      
-      for (const item of klineData) {
-        allData.push({
-          date: item[0],
-          open: parseFloat(item[1]),
-          close: parseFloat(item[2]),
-          high: parseFloat(item[3]),
-          low: parseFloat(item[4]),
-          volume: parseFloat(item[5]),
-          amount: 0, // 腾讯财经API没有返回成交额数据，设置为0
-          source: '腾讯财经API',
-          fetchTime: new Date().toISOString()
-        });
-      }
-    } else {
-      console.log('数据条数: 0');
-    }
-
-    allData.sort((a, b) => a.date.localeCompare(b.date));
-
-    console.log(`\n共获取到 ${allData.length} 条沪深300指数数据`);
-
-    return {
-      symbol: 'sh000300',
-      name: '沪深300指数',
-      startDate,
-      endDate,
-      count: allData.length,
-      data: allData,
-      fetchTime: new Date().toISOString(),
-      note: '数据来源: 腾讯财经API'
-    };
-
-  } catch (error) {
-    console.error('获取沪深300指数数据失败:', error.message);
-    if (error.response) {
-      console.error(`HTTP状态码: ${error.response.status}`);
-      console.error(`响应数据:`, error.response.data);
-    }
-    
-    // 重试机制
-    if (retryCount > 0) {
-      console.log(`正在重试... (剩余重试次数: ${retryCount - 1})`);
-      // 等待1秒后重试
-      await new Promise(resolve => setTimeout(resolve, 1000));
-      return fetch(startDate, endDate, retryCount - 1);
-    }
-    
-    throw error;
-  }
-}
-
-export {
-  fetch
-};
-
-const isMainModule = () => {
-  const currentFile = fileURLToPath(import.meta.url);
-  const mainFile = process.argv[1];
-  return currentFile === mainFile;
-};
-
-function parseCommandLineArgs() {
-  const args = process.argv.slice(2);
-  let startDate = null;
-  let endDate = null;
-
-  for (let i = 0; i < args.length; i++) {
-    if (args[i] === '--start' && i + 1 < args.length) {
-      startDate = args[i + 1];
-      i++;
-    } else if (args[i] === '--end' && i + 1 < args.length) {
-      endDate = args[i + 1];
-      i++;
-    } else if (args[i] === '--help') {
-      console.log('使用方法:');
-      console.log('  bun sh300.fetcher.js [选项]');
-      console.log('');
-      console.log('选项:');
-      console.log('  --start YYYY-MM-DD  指定开始日期（默认：30天前）');
-      console.log('  --end YYYY-MM-DD    指定结束日期（默认：今天）');
-      console.log('  --help              显示帮助信息');
-      console.log('');
-      console.log('示例:');
-      console.log('  bun sh300.fetcher.js');
-      console.log('  bun sh300.fetcher.js --start 2024-01-01 --end 2024-01-31');
-      process.exit(0);
-    }
-  }
-
-  return { startDate, endDate };
-}
-
-if (isMainModule()) {
-  const { startDate, endDate } = parseCommandLineArgs();
-
-  console.log('='.repeat(50));
-  console.log('沪深300指数数据获取脚本');
-  console.log('='.repeat(50));
-
-  fetch(startDate, endDate)
-    .then(result => {
-      console.log('\n' + '='.repeat(50));
-      console.log('获取结果:');
-      console.log(`  指数代码: ${result.symbol}`);
-      console.log(`  指数名称: ${result.name}`);
-      console.log(`  开始日期: ${result.startDate}`);
-      console.log(`  结束日期: ${result.endDate}`);
-      console.log(`  数据条数: ${result.count}`);
-      console.log(`  获取时间: ${result.fetchTime}`);
-      console.log(`  提示: ${result.note}`);
-      if (result.count > 0) {
-        console.log('-'.repeat(50));
-        console.log('指数数据:');
-        result.data.forEach(item => {
-          console.log(`  ${item.date}  开盘: ${item.open}  最高: ${item.high}  最低: ${item.low}  收盘: ${item.close}`);
-        });
-      }
-      console.log('='.repeat(50));
-    })
-    .catch(error => {
-      console.error('执行失败:', error);
-      process.exit(1);
-    });
-}

scripts/fetchers/usd-cny-rate.fetcher.js

@@ -1,150 +0,0 @@
-import axios from 'axios';
-import { fileURLToPath } from 'url';
-
-const FRANKFURTER_API = 'https://api.frankfurter.app';
-
-async function fetch(startDate = null, endDate = null) {
-  try {
-    const currentDate = new Date();
-
-    if (!startDate) {
-      startDate = new Date(currentDate);
-      startDate.setDate(startDate.getDate() - 30);
-      startDate = startDate.toISOString().split('T')[0];
-    }
-
-    if (!endDate) {
-      endDate = currentDate.toISOString().split('T')[0];
-    }
-
-  console.log('正在获取人民币美元汇率数据...');
-    console.log(`时间范围: ${startDate} 至 ${endDate}`);
-    console.log(`数据源: Frankfurter API (欧洲央行汇率数据)`);
-
-    const response = await axios.get(`${FRANKFURTER_API}/${startDate}..${endDate}`, {
-      params: {
-        from: 'USD',
-        to: 'CNY'
-      },
-      headers: {
-        'Accept': 'application/json'
-      }
-    });
-
-    const data = response.data;
-    console.log(`\nAPI状态: ${response.status}`);
-    console.log(`数据条数: ${Object.keys(data.rates || {}).length}`);
-
-    const allRates = [];
-
-    if (data.rates) {
-      for (const [date, rateObj] of Object.entries(data.rates)) {
-        const rateValue = rateObj.CNY;
-        allRates.push({
-          date: date,
-          currency: 'USD/CNY',
-          centerPrice: parseFloat(rateValue.toFixed(4)),
-          sellingRate: parseFloat(rateValue.toFixed(4)),
-          buyingRate: parseFloat(rateValue.toFixed(4)),
-          source: '欧洲央行 (Frankfurter API)',
-          fetchTime: new Date().toISOString()
-        });
-      }
-    }
-
-    allRates.sort((a, b) => a.date.localeCompare(b.date));
-
-    console.log(`\n共获取到 ${allRates.length} 条汇率数据`);
-
-    return {
-      currency: 'USD/CNY',
-      startDate,
-      endDate,
-      count: allRates.length,
-      data: allRates,
-      fetchTime: new Date().toISOString(),
-      note: '数据来源: 欧洲央行, 通过 Frankfurter API 提供'
-    };
-
-  } catch (error) {
-    console.error('获取汇率数据失败:', error.message);
-    if (error.response) {
-      console.error(`HTTP状态码: ${error.response.status}`);
-      console.error(`响应数据:`, error.response.data);
-    }
-    throw error;
-  }
-}
-
-export {
-  fetch
-};
-
-const isMainModule = () => {
-  const currentFile = fileURLToPath(import.meta.url);
-  const mainFile = process.argv[1];
-  return currentFile === mainFile;
-};
-
-function parseCommandLineArgs() {
-  const args = process.argv.slice(2);
-  let startDate = null;
-  let endDate = null;
-
-  for (let i = 0; i < args.length; i++) {
-    if (args[i] === '--start' && i + 1 < args.length) {
-      startDate = args[i + 1];
-      i++;
-    } else if (args[i] === '--end' && i + 1 < args.length) {
-      endDate = args[i + 1];
-      i++;
-    } else if (args[i] === '--help') {
-      console.log('使用方法:');
-      console.log('  bun usd-cny-rate.fetcher.js [选项]');
-      console.log('');
-      console.log('选项:');
-      console.log('  --start YYYY-MM-DD  指定开始日期（默认：30天前）');
-      console.log('  --end YYYY-MM-DD    指定结束日期（默认：今天）');
-      console.log('  --help              显示帮助信息');
-      console.log('');
-      console.log('示例:');
-      console.log('  bun usd-cny-rate.fetcher.js');
-      console.log('  bun usd-cny-rate.fetcher.js --start 2024-01-01 --end 2024-01-31');
-      process.exit(0);
-    }
-  }
-
-  return { startDate, endDate };
-}
-
-if (isMainModule()) {
-  const { startDate, endDate } = parseCommandLineArgs();
-
-  console.log('='.repeat(50));
-  console.log('人民币美元汇率获取脚本');
-  console.log('='.repeat(50));
-
-  fetch(startDate, endDate)
-    .then(result => {
-      console.log('\n' + '='.repeat(50));
-      console.log('获取结果:');
-      console.log(`  货币对: ${result.currency}`);
-      console.log(`  开始日期: ${result.startDate}`);
-      console.log(`  结束日期: ${result.endDate}`);
-      console.log(`  数据条数: ${result.count}`);
-      console.log(`  获取时间: ${result.fetchTime}`);
-      console.log(`  提示: ${result.note}`);
-      if (result.count > 0) {
-        console.log('-'.repeat(50));
-        console.log('汇率数据:');
-        result.data.forEach(item => {
-          console.log(`  ${item.date}  中间价: ${item.centerPrice}`);
-        });
-      }
-      console.log('='.repeat(50));
-    })
-    .catch(error => {
-      console.error('执行失败:', error);
-      process.exit(1);
-    });
-}

scripts/fetchers/wb-indicators.fetcher.js

@@ -1,113 +0,0 @@
-import axios from 'axios'
-
-// World Bank API 数据源
-// 文档: https://datahelpdesk.worldbank.org/knowledgebase/articles/898581
-// 优点: 官方、JSON、免 key、稳定, 中国数据滞后约 1 年 (这是全球宏观数据物理上限)
-// 接口: GET /v2/country/{code}/indicator/{id}?format=json&date={startYear}:{endYear}&per_page=100
-
-const WB_BASE = 'https://api.worldbank.org/v2'
-const TIMEOUT = 15000
-
-// 6 个核心宏观指标
-// - 中国 GDP (现价美元)  - 国民经济总规模
-// - 中国 GDP 增速      - 增长动能
-// - 中国 CPI 同比      - 通胀
-// - 中国失业率         - 就业
-// - 美国 GDP (现价美元) - 对标
-// - 美国 CPI 同比      - 对标
-export const WB_INDICATORS = [
-  { id: 'NY.GDP.MKTP.CD',   name: 'china-gdp-usd',    groupName: 'china-macro', title: '中国 GDP',           unit: '万亿美元', scale: 1e-8,   digits: 2 },
-  { id: 'NY.GDP.MKTP.KD.ZG',name: 'china-gdp-growth', groupName: 'china-macro', title: '中国 GDP 增速',      unit: '%',       scale: 1,      digits: 2 },
-  { id: 'FP.CPI.TOTL.ZG',   name: 'china-cpi',        groupName: 'china-macro', title: '中国 CPI',           unit: '%',       scale: 1,      digits: 2 },
-  { id: 'SL.UEM.TOTL.ZS',   name: 'china-unemploy',   groupName: 'china-macro', title: '中国失业率',         unit: '%',       scale: 1,      digits: 2 },
-  { id: 'NY.GDP.MKTP.CD',   name: 'usa-gdp-usd',      groupName: 'usa-macro',   title: '美国 GDP',           unit: '万亿美元', scale: 1e-8,   digits: 2 },
-  { id: 'FP.CPI.TOTL.ZG',   name: 'usa-cpi',          groupName: 'usa-macro',   title: '美国 CPI',           unit: '%',       scale: 1,      digits: 2 },
-]
-
-// World Bank 中国是 CHN, 美国是 USA
-function countryCodeOf(name) {
-  if (name.startsWith('china-')) return 'CHN'
-  if (name.startsWith('usa-')) return 'USA'
-  throw new Error('Unknown country for ' + name)
-}
-
-// 拉单个指标从 startYear 到当前年
-// 返回 { name, groupName, title, unit, rows: [{ year, value }] }
-// 注意: WB 对连续请求会限流返回 400 Invalid value, 加 3 次退避重试
-export async function fetchIndicator(meta, startYear = 2015) {
-  const country = countryCodeOf(meta.name)
-  const currentYear = new Date().getFullYear()
-  const url = `${WB_BASE}/country/${country}/indicator/${meta.id}?format=json&date=${startYear}:${currentYear}&per_page=200`
-
-  let resp
-  const delays = [0, 1500, 4000]
-  for (let attempt = 0; attempt < delays.length; attempt++) {
-    if (delays[attempt]) await new Promise((r) => setTimeout(r, delays[attempt]))
-    try {
-      resp = await axios.get(url, { timeout: TIMEOUT, headers: { 'User-Agent': 'iboard-refresh/1.0' } })
-      break
-    } catch (e) {
-      if (attempt === delays.length - 1) throw e
-      console.log(`[WB] ${meta.name} 请求失败, ${delays[attempt + 1] / 1000}s 后重试 (${e.message})`)
-    }
-  }
-  // WB 返回: [{page,pages,per_page,total,...}, [{indicator, country, value, date}, ...]]
-  const data = resp.data
-  if (!Array.isArray(data) || data.length < 2 || !Array.isArray(data[1])) {
-    throw new Error('World Bank 返回结构异常: ' + JSON.stringify(data).slice(0, 200))
-  }
-  const points = data[1]
-    .filter((p) => p.value !== null && p.value !== undefined)
-    .map((p) => ({
-      year: String(p.date),
-      value: Number((Number(p.value) * meta.scale).toFixed(meta.digits)),
-    }))
-    .sort((a, b) => Number(a.year) - Number(b.year))
-
-  return {
-    name: meta.name,
-    groupName: meta.groupName,
-    data: {
-      unit: meta.unit,
-      title: meta.title,
-      source: 'World Bank API',
-      rows: points,
-    },
-  }
-}
-
-export const META = {
-  name: 'wb-indicators',
-  description: 'World Bank 官方 API 宏观数据',
-  docs: 'https://datahelpdesk.worldbank.org/knowledgebase/articles/898581',
-}
-
-// 拉全部 (返回符合 fetcher 契约的 [{name, groupName, data}, ...])
-// 错误隔离: 单个指标失败 -> 跳过 + 记日志, 不影响其他
-// opts.skipNames: Set<string> — DB 已存在的指标名, 跳过不拉 (WB 免费但也要省请求)
-export async function fetchAll(opts = {}) {
-  const skip = opts.skipNames || new Set()
-  const startYear = 2015
-  const results = []
-  for (const m of WB_INDICATORS) {
-    if (skip.has(m.name)) {
-      console.log(`[WB] ${m.name} 跳过 (DB 已存在)`)
-      continue
-    }
-    try {
-      const r = await fetchIndicator(m, startYear)
-      console.log(`[WB] ${r.name} OK, ${r.data.rows.length} rows (${r.data.rows[0]?.year}..${r.data.rows.at(-1)?.year})`)
-      results.push(r)
-    } catch (e) {
-      console.error(`[WB] ${m.name} FAIL: ${e.message}`)
-    }
-  }
-  // 全部被 DB 优先跳过时, 返回显式标记而不是空数组 (避免被误判为失败)
-  if (results.length === 0 && WB_INDICATORS.every((m) => skip.has(m.name))) {
-    return { skipped: true, reason: 'DB 已存在全部指标' }
-  }
-  return results
-}
-
-
-