chore: import upstream snapshot with attribution
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#!/usr/bin/env node
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/**
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* 数据迁移脚本:修复历史使用统计数据
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*
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* 功能:
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* 1. 统一 totalTokens 和 allTokens 字段
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* 2. 确保 allTokens 包含所有类型的 tokens
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* 3. 修复历史数据的不一致性
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*
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* 使用方法:
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* node scripts/fix-usage-stats.js [--dry-run]
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*/
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require('dotenv').config()
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const redis = require('../src/models/redis')
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const logger = require('../src/utils/logger')
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// 解析命令行参数
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const args = process.argv.slice(2)
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const isDryRun = args.includes('--dry-run')
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async function fixUsageStats() {
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try {
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logger.info('🔧 开始修复使用统计数据...')
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if (isDryRun) {
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logger.info('📝 DRY RUN 模式 - 不会实际修改数据')
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}
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// 连接到 Redis
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await redis.connect()
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logger.success('✅ 已连接到 Redis')
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const client = redis.getClientSafe()
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// 统计信息
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const stats = {
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totalKeys: 0,
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fixedTotalKeys: 0,
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fixedDailyKeys: 0,
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fixedMonthlyKeys: 0,
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fixedModelKeys: 0,
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errors: 0
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}
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// 1. 修复 API Key 级别的总统计
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logger.info('\n📊 修复 API Key 总统计数据...')
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const apiKeyPattern = 'apikey:*'
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const apiKeys = await client.keys(apiKeyPattern)
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stats.totalKeys = apiKeys.length
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for (const apiKeyKey of apiKeys) {
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const keyId = apiKeyKey.replace('apikey:', '')
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const usageKey = `usage:${keyId}`
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try {
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const usageData = await client.hgetall(usageKey)
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if (usageData && Object.keys(usageData).length > 0) {
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const inputTokens = parseInt(usageData.totalInputTokens) || 0
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const outputTokens = parseInt(usageData.totalOutputTokens) || 0
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const cacheCreateTokens = parseInt(usageData.totalCacheCreateTokens) || 0
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const cacheReadTokens = parseInt(usageData.totalCacheReadTokens) || 0
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const currentAllTokens = parseInt(usageData.totalAllTokens) || 0
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// 计算正确的 allTokens
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const correctAllTokens = inputTokens + outputTokens + cacheCreateTokens + cacheReadTokens
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if (currentAllTokens !== correctAllTokens && correctAllTokens > 0) {
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logger.info(` 修复 ${keyId}: ${currentAllTokens} -> ${correctAllTokens}`)
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if (!isDryRun) {
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await client.hset(usageKey, 'totalAllTokens', correctAllTokens)
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}
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stats.fixedTotalKeys++
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}
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}
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} catch (error) {
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logger.error(` 错误处理 ${keyId}: ${error.message}`)
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stats.errors++
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}
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}
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// 2. 修复每日统计数据
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logger.info('\n📅 修复每日统计数据...')
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const dailyPattern = 'usage:daily:*'
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const dailyKeys = await client.keys(dailyPattern)
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for (const dailyKey of dailyKeys) {
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try {
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const data = await client.hgetall(dailyKey)
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if (data && Object.keys(data).length > 0) {
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const inputTokens = parseInt(data.inputTokens) || 0
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const outputTokens = parseInt(data.outputTokens) || 0
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const cacheCreateTokens = parseInt(data.cacheCreateTokens) || 0
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const cacheReadTokens = parseInt(data.cacheReadTokens) || 0
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const currentAllTokens = parseInt(data.allTokens) || 0
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const correctAllTokens = inputTokens + outputTokens + cacheCreateTokens + cacheReadTokens
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if (currentAllTokens !== correctAllTokens && correctAllTokens > 0) {
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if (!isDryRun) {
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await client.hset(dailyKey, 'allTokens', correctAllTokens)
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}
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stats.fixedDailyKeys++
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}
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}
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} catch (error) {
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logger.error(` 错误处理 ${dailyKey}: ${error.message}`)
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stats.errors++
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}
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}
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// 3. 修复每月统计数据
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logger.info('\n📆 修复每月统计数据...')
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const monthlyPattern = 'usage:monthly:*'
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const monthlyKeys = await client.keys(monthlyPattern)
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for (const monthlyKey of monthlyKeys) {
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try {
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const data = await client.hgetall(monthlyKey)
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if (data && Object.keys(data).length > 0) {
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const inputTokens = parseInt(data.inputTokens) || 0
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const outputTokens = parseInt(data.outputTokens) || 0
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const cacheCreateTokens = parseInt(data.cacheCreateTokens) || 0
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const cacheReadTokens = parseInt(data.cacheReadTokens) || 0
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const currentAllTokens = parseInt(data.allTokens) || 0
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const correctAllTokens = inputTokens + outputTokens + cacheCreateTokens + cacheReadTokens
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if (currentAllTokens !== correctAllTokens && correctAllTokens > 0) {
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if (!isDryRun) {
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await client.hset(monthlyKey, 'allTokens', correctAllTokens)
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}
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stats.fixedMonthlyKeys++
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}
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}
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} catch (error) {
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logger.error(` 错误处理 ${monthlyKey}: ${error.message}`)
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stats.errors++
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}
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}
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// 4. 修复模型级别的统计数据
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logger.info('\n🤖 修复模型级别统计数据...')
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const modelPatterns = [
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'usage:model:daily:*',
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'usage:model:monthly:*',
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'usage:*:model:daily:*',
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'usage:*:model:monthly:*'
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]
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for (const pattern of modelPatterns) {
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const modelKeys = await client.keys(pattern)
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for (const modelKey of modelKeys) {
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try {
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const data = await client.hgetall(modelKey)
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if (data && Object.keys(data).length > 0) {
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const inputTokens = parseInt(data.inputTokens) || 0
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const outputTokens = parseInt(data.outputTokens) || 0
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const cacheCreateTokens = parseInt(data.cacheCreateTokens) || 0
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const cacheReadTokens = parseInt(data.cacheReadTokens) || 0
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const currentAllTokens = parseInt(data.allTokens) || 0
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const correctAllTokens =
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inputTokens + outputTokens + cacheCreateTokens + cacheReadTokens
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if (currentAllTokens !== correctAllTokens && correctAllTokens > 0) {
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if (!isDryRun) {
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await client.hset(modelKey, 'allTokens', correctAllTokens)
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}
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stats.fixedModelKeys++
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}
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}
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} catch (error) {
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logger.error(` 错误处理 ${modelKey}: ${error.message}`)
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stats.errors++
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}
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}
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}
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// 5. 验证修复结果
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if (!isDryRun) {
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logger.info('\n✅ 验证修复结果...')
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// 随机抽样验证
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const sampleSize = Math.min(5, apiKeys.length)
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for (let i = 0; i < sampleSize; i++) {
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const randomIndex = Math.floor(Math.random() * apiKeys.length)
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const keyId = apiKeys[randomIndex].replace('apikey:', '')
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const usage = await redis.getUsageStats(keyId)
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logger.info(` 样本 ${keyId}:`)
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logger.info(` Total tokens: ${usage.total.tokens}`)
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logger.info(` All tokens: ${usage.total.allTokens}`)
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logger.info(` 一致性: ${usage.total.tokens === usage.total.allTokens ? '✅' : '❌'}`)
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}
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}
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// 打印统计结果
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logger.info('\n📊 修复统计:')
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logger.info(` 总 API Keys: ${stats.totalKeys}`)
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logger.info(` 修复的总统计: ${stats.fixedTotalKeys}`)
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logger.info(` 修复的日统计: ${stats.fixedDailyKeys}`)
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logger.info(` 修复的月统计: ${stats.fixedMonthlyKeys}`)
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logger.info(` 修复的模型统计: ${stats.fixedModelKeys}`)
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logger.info(` 错误数: ${stats.errors}`)
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if (isDryRun) {
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logger.info('\n💡 这是 DRY RUN - 没有实际修改数据')
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logger.info(' 运行不带 --dry-run 参数来实际执行修复')
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} else {
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logger.success('\n✅ 数据修复完成!')
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}
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} catch (error) {
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logger.error('❌ 修复过程出错:', error)
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process.exit(1)
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} finally {
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await redis.disconnect()
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}
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}
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// 执行修复
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fixUsageStats().catch((error) => {
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logger.error('❌ 未处理的错误:', error)
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process.exit(1)
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})
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