src/models/redis.js

const Redis = require('ioredis')
const config = require('../../config/config')
const logger = require('../utils/logger')

// 时区辅助函数
// 注意：这个函数的目的是获取某个时间点在目标时区的"本地"表示
// 例如：UTC时间 2025-07-30 01:00:00 在 UTC+8 时区表示为 2025-07-30 09:00:00
function getDateInTimezone(date = new Date()) {
  const offset = config.system.timezoneOffset || 8 // 默认UTC+8

  // 方法：创建一个偏移后的Date对象，使其getUTCXXX方法返回目标时区的值
  // 这样我们可以用getUTCFullYear()等方法获取目标时区的年月日时分秒
  const offsetMs = offset * 3600000 // 时区偏移的毫秒数
  const adjustedTime = new Date(date.getTime() + offsetMs)

  return adjustedTime
}

// 获取配置时区的日期字符串 (YYYY-MM-DD)
function getDateStringInTimezone(date = new Date()) {
  const tzDate = getDateInTimezone(date)
  // 使用UTC方法获取偏移后的日期部分
  return `${tzDate.getUTCFullYear()}-${String(tzDate.getUTCMonth() + 1).padStart(2, '0')}-${String(
    tzDate.getUTCDate()
  ).padStart(2, '0')}`
}

// 获取配置时区的小时 (0-23)
function getHourInTimezone(date = new Date()) {
  const tzDate = getDateInTimezone(date)
  return tzDate.getUTCHours()
}

// 获取配置时区的 ISO 周（YYYY-Wxx 格式，周一到周日）
function getWeekStringInTimezone(date = new Date()) {
  const tzDate = getDateInTimezone(date)

  // 获取年份
  const year = tzDate.getUTCFullYear()

  // 计算 ISO 周数（周一为第一天）
  const dateObj = new Date(tzDate)
  const dayOfWeek = dateObj.getUTCDay() || 7 // 将周日(0)转换为7
  const firstThursday = new Date(dateObj)
  firstThursday.setUTCDate(dateObj.getUTCDate() + 4 - dayOfWeek) // 找到这周的周四

  const yearStart = new Date(firstThursday.getUTCFullYear(), 0, 1)
  const weekNumber = Math.ceil(((firstThursday - yearStart) / 86400000 + 1) / 7)

  return `${year}-W${String(weekNumber).padStart(2, '0')}`
}

class RedisClient {
  constructor() {
    this.client = null
    this.isConnected = false
  }

  async connect() {
    try {
      this.client = new Redis({
        host: config.redis.host,
        port: config.redis.port,
        password: config.redis.password,
        db: config.redis.db,
        retryDelayOnFailover: config.redis.retryDelayOnFailover,
        maxRetriesPerRequest: config.redis.maxRetriesPerRequest,
        lazyConnect: config.redis.lazyConnect,
        tls: config.redis.enableTLS ? {} : false
      })

      this.client.on('connect', () => {
        this.isConnected = true
        logger.info('🔗 Redis connected successfully')
      })

      this.client.on('error', (err) => {
        this.isConnected = false
        logger.error('❌ Redis connection error:', err)
      })

      this.client.on('close', () => {
        this.isConnected = false
        logger.warn('⚠️  Redis connection closed')
      })

      await this.client.connect()
      return this.client
    } catch (error) {
      logger.error('💥 Failed to connect to Redis:', error)
      throw error
    }
  }

  async disconnect() {
    if (this.client) {
      await this.client.quit()
      this.isConnected = false
      logger.info('👋 Redis disconnected')
    }
  }

  getClient() {
    if (!this.client || !this.isConnected) {
      logger.warn('⚠️ Redis client is not connected')
      return null
    }
    return this.client
  }

  // 安全获取客户端（用于关键操作）
  getClientSafe() {
    if (!this.client || !this.isConnected) {
      throw new Error('Redis client is not connected')
    }
    return this.client
  }

  // 🔑 API Key 相关操作
  async setApiKey(keyId, keyData, hashedKey = null) {
    const key = `apikey:${keyId}`
    const client = this.getClientSafe()

    // 维护哈希映射表（用于快速查找）
    // hashedKey参数是实际的哈希值，用于建立映射
    if (hashedKey) {
      await client.hset('apikey:hash_map', hashedKey, keyId)
    }

    await client.hset(key, keyData)
    await client.expire(key, 86400 * 365) // 1年过期
  }

  async getApiKey(keyId) {
    const key = `apikey:${keyId}`
    return await this.client.hgetall(key)
  }

  async deleteApiKey(keyId) {
    const key = `apikey:${keyId}`

    // 获取要删除的API Key哈希值，以便从映射表中移除
    const keyData = await this.client.hgetall(key)
    if (keyData && keyData.apiKey) {
      // keyData.apiKey现在存储的是哈希值，直接从映射表删除
      await this.client.hdel('apikey:hash_map', keyData.apiKey)
    }

    return await this.client.del(key)
  }

  async getAllApiKeys() {
    const keys = await this.client.keys('apikey:*')
    const apiKeys = []
    for (const key of keys) {
      // 过滤掉hash_map，它不是真正的API Key
      if (key === 'apikey:hash_map') {
        continue
      }

      const keyData = await this.client.hgetall(key)
      if (keyData && Object.keys(keyData).length > 0) {
        apiKeys.push({ id: key.replace('apikey:', ''), ...keyData })
      }
    }
    return apiKeys
  }

  // 🔍 通过哈希值查找API Key（性能优化）
  async findApiKeyByHash(hashedKey) {
    // 使用反向映射表：hash -> keyId
    const keyId = await this.client.hget('apikey:hash_map', hashedKey)
    if (!keyId) {
      return null
    }

    const keyData = await this.client.hgetall(`apikey:${keyId}`)
    if (keyData && Object.keys(keyData).length > 0) {
      return { id: keyId, ...keyData }
    }

    // 如果数据不存在，清理映射表
    await this.client.hdel('apikey:hash_map', hashedKey)
    return null
  }

  // 📊 使用统计相关操作（支持缓存token统计和模型信息）
  // 标准化模型名称，用于统计聚合
  _normalizeModelName(model) {
    if (!model || model === 'unknown') {
      return model
    }

    // 对于Bedrock模型，去掉区域前缀进行统一
    if (model.includes('.anthropic.') || model.includes('.claude')) {
      // 匹配所有AWS区域格式：region.anthropic.model-name-v1:0 -> claude-model-name
      // 支持所有AWS区域格式，如：us-east-1, eu-west-1, ap-southeast-1, ca-central-1等
      let normalized = model.replace(/^[a-z0-9-]+\./, '') // 去掉任何区域前缀（更通用）
      normalized = normalized.replace('anthropic.', '') // 去掉anthropic前缀
      normalized = normalized.replace(/-v\d+:\d+$/, '') // 去掉版本后缀（如-v1:0, -v2:1等）
      return normalized
    }

    // 对于其他模型，去掉常见的版本后缀
    return model.replace(/-v\d+:\d+$|:latest$/, '')
  }

  async incrementTokenUsage(
    keyId,
    tokens,
    inputTokens = 0,
    outputTokens = 0,
    cacheCreateTokens = 0,
    cacheReadTokens = 0,
    model = 'unknown',
    ephemeral5mTokens = 0, // 新增：5分钟缓存 tokens
    ephemeral1hTokens = 0, // 新增：1小时缓存 tokens
    isLongContextRequest = false // 新增：是否为 1M 上下文请求（超过200k）
  ) {
    const key = `usage:${keyId}`
    const now = new Date()
    const today = getDateStringInTimezone(now)
    const tzDate = getDateInTimezone(now)
    const currentMonth = `${tzDate.getUTCFullYear()}-${String(tzDate.getUTCMonth() + 1).padStart(
      2,
      '0'
    )}`
    const currentHour = `${today}:${String(getHourInTimezone(now)).padStart(2, '0')}` // 新增小时级别

    const daily = `usage:daily:${keyId}:${today}`
    const monthly = `usage:monthly:${keyId}:${currentMonth}`
    const hourly = `usage:hourly:${keyId}:${currentHour}` // 新增小时级别key

    // 标准化模型名用于统计聚合
    const normalizedModel = this._normalizeModelName(model)

    // 按模型统计的键
    const modelDaily = `usage:model:daily:${normalizedModel}:${today}`
    const modelMonthly = `usage:model:monthly:${normalizedModel}:${currentMonth}`
    const modelHourly = `usage:model:hourly:${normalizedModel}:${currentHour}` // 新增模型小时级别

    // API Key级别的模型统计
    const keyModelDaily = `usage:${keyId}:model:daily:${normalizedModel}:${today}`
    const keyModelMonthly = `usage:${keyId}:model:monthly:${normalizedModel}:${currentMonth}`
    const keyModelHourly = `usage:${keyId}:model:hourly:${normalizedModel}:${currentHour}` // 新增API Key模型小时级别

    // 新增：系统级分钟统计
    const minuteTimestamp = Math.floor(now.getTime() / 60000)
    const systemMinuteKey = `system:metrics:minute:${minuteTimestamp}`

    // 智能处理输入输出token分配
    const finalInputTokens = inputTokens || 0
    const finalOutputTokens = outputTokens || (finalInputTokens > 0 ? 0 : tokens)
    const finalCacheCreateTokens = cacheCreateTokens || 0
    const finalCacheReadTokens = cacheReadTokens || 0

    // 重新计算真实的总token数（包括缓存token）
    const totalTokens =
      finalInputTokens + finalOutputTokens + finalCacheCreateTokens + finalCacheReadTokens
    // 核心token（不包括缓存）- 用于与历史数据兼容
    const coreTokens = finalInputTokens + finalOutputTokens

    // 使用Pipeline优化性能
    const pipeline = this.client.pipeline()

    // 现有的统计保持不变
    // 核心token统计（保持向后兼容）
    pipeline.hincrby(key, 'totalTokens', coreTokens)
    pipeline.hincrby(key, 'totalInputTokens', finalInputTokens)
    pipeline.hincrby(key, 'totalOutputTokens', finalOutputTokens)
    // 缓存token统计（新增）
    pipeline.hincrby(key, 'totalCacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(key, 'totalCacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(key, 'totalAllTokens', totalTokens) // 包含所有类型的总token
    // 详细缓存类型统计（新增）
    pipeline.hincrby(key, 'totalEphemeral5mTokens', ephemeral5mTokens)
    pipeline.hincrby(key, 'totalEphemeral1hTokens', ephemeral1hTokens)
    // 1M 上下文请求统计（新增）
    if (isLongContextRequest) {
      pipeline.hincrby(key, 'totalLongContextInputTokens', finalInputTokens)
      pipeline.hincrby(key, 'totalLongContextOutputTokens', finalOutputTokens)
      pipeline.hincrby(key, 'totalLongContextRequests', 1)
    }
    // 请求计数
    pipeline.hincrby(key, 'totalRequests', 1)

    // 每日统计
    pipeline.hincrby(daily, 'tokens', coreTokens)
    pipeline.hincrby(daily, 'inputTokens', finalInputTokens)
    pipeline.hincrby(daily, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(daily, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(daily, 'cacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(daily, 'allTokens', totalTokens)
    pipeline.hincrby(daily, 'requests', 1)
    // 详细缓存类型统计
    pipeline.hincrby(daily, 'ephemeral5mTokens', ephemeral5mTokens)
    pipeline.hincrby(daily, 'ephemeral1hTokens', ephemeral1hTokens)
    // 1M 上下文请求统计
    if (isLongContextRequest) {
      pipeline.hincrby(daily, 'longContextInputTokens', finalInputTokens)
      pipeline.hincrby(daily, 'longContextOutputTokens', finalOutputTokens)
      pipeline.hincrby(daily, 'longContextRequests', 1)
    }

    // 每月统计
    pipeline.hincrby(monthly, 'tokens', coreTokens)
    pipeline.hincrby(monthly, 'inputTokens', finalInputTokens)
    pipeline.hincrby(monthly, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(monthly, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(monthly, 'cacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(monthly, 'allTokens', totalTokens)
    pipeline.hincrby(monthly, 'requests', 1)
    // 详细缓存类型统计
    pipeline.hincrby(monthly, 'ephemeral5mTokens', ephemeral5mTokens)
    pipeline.hincrby(monthly, 'ephemeral1hTokens', ephemeral1hTokens)

    // 按模型统计 - 每日
    pipeline.hincrby(modelDaily, 'inputTokens', finalInputTokens)
    pipeline.hincrby(modelDaily, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(modelDaily, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(modelDaily, 'cacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(modelDaily, 'allTokens', totalTokens)
    pipeline.hincrby(modelDaily, 'requests', 1)

    // 按模型统计 - 每月
    pipeline.hincrby(modelMonthly, 'inputTokens', finalInputTokens)
    pipeline.hincrby(modelMonthly, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(modelMonthly, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(modelMonthly, 'cacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(modelMonthly, 'allTokens', totalTokens)
    pipeline.hincrby(modelMonthly, 'requests', 1)

    // API Key级别的模型统计 - 每日
    pipeline.hincrby(keyModelDaily, 'inputTokens', finalInputTokens)
    pipeline.hincrby(keyModelDaily, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(keyModelDaily, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(keyModelDaily, 'cacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(keyModelDaily, 'allTokens', totalTokens)
    pipeline.hincrby(keyModelDaily, 'requests', 1)
    // 详细缓存类型统计
    pipeline.hincrby(keyModelDaily, 'ephemeral5mTokens', ephemeral5mTokens)
    pipeline.hincrby(keyModelDaily, 'ephemeral1hTokens', ephemeral1hTokens)

    // API Key级别的模型统计 - 每月
    pipeline.hincrby(keyModelMonthly, 'inputTokens', finalInputTokens)
    pipeline.hincrby(keyModelMonthly, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(keyModelMonthly, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(keyModelMonthly, 'cacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(keyModelMonthly, 'allTokens', totalTokens)
    pipeline.hincrby(keyModelMonthly, 'requests', 1)
    // 详细缓存类型统计
    pipeline.hincrby(keyModelMonthly, 'ephemeral5mTokens', ephemeral5mTokens)
    pipeline.hincrby(keyModelMonthly, 'ephemeral1hTokens', ephemeral1hTokens)

    // 小时级别统计
    pipeline.hincrby(hourly, 'tokens', coreTokens)
    pipeline.hincrby(hourly, 'inputTokens', finalInputTokens)
    pipeline.hincrby(hourly, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(hourly, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(hourly, 'cacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(hourly, 'allTokens', totalTokens)
    pipeline.hincrby(hourly, 'requests', 1)

    // 按模型统计 - 每小时
    pipeline.hincrby(modelHourly, 'inputTokens', finalInputTokens)
    pipeline.hincrby(modelHourly, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(modelHourly, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(modelHourly, 'cacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(modelHourly, 'allTokens', totalTokens)
    pipeline.hincrby(modelHourly, 'requests', 1)

    // API Key级别的模型统计 - 每小时
    pipeline.hincrby(keyModelHourly, 'inputTokens', finalInputTokens)
    pipeline.hincrby(keyModelHourly, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(keyModelHourly, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(keyModelHourly, 'cacheReadTokens', finalCacheReadTokens)
    pipeline.hincrby(keyModelHourly, 'allTokens', totalTokens)
    pipeline.hincrby(keyModelHourly, 'requests', 1)

    // 新增：系统级分钟统计
    pipeline.hincrby(systemMinuteKey, 'requests', 1)
    pipeline.hincrby(systemMinuteKey, 'totalTokens', totalTokens)
    pipeline.hincrby(systemMinuteKey, 'inputTokens', finalInputTokens)
    pipeline.hincrby(systemMinuteKey, 'outputTokens', finalOutputTokens)
    pipeline.hincrby(systemMinuteKey, 'cacheCreateTokens', finalCacheCreateTokens)
    pipeline.hincrby(systemMinuteKey, 'cacheReadTokens', finalCacheReadTokens)

    // 设置过期时间
    pipeline.expire(daily, 86400 * 32) // 32天过期
    pipeline.expire(monthly, 86400 * 365) // 1年过期
    pipeline.expire(hourly, 86400 * 7) // 小时统计7天过期
    pipeline.expire(modelDaily, 86400 * 32) // 模型每日统计32天过期
    pipeline.expire(modelMonthly, 86400 * 365) // 模型每月统计1年过期
    pipeline.expire(modelHourly, 86400 * 7) // 模型小时统计7天过期
    pipeline.expire(keyModelDaily, 86400 * 32) // API Key模型每日统计32天过期
    pipeline.expire(keyModelMonthly, 86400 * 365) // API Key模型每月统计1年过期
    pipeline.expire(keyModelHourly, 86400 * 7) // API Key模型小时统计7天过期

    // 系统级分钟统计的过期时间（窗口时间的2倍）
    const configLocal = require('../../config/config')
    const { metricsWindow } = configLocal.system
    pipeline.expire(systemMinuteKey, metricsWindow * 60 * 2)

    // 执行Pipeline
    await pipeline.exec()
  }

  // 📊 记录账户级别的使用统计
  async incrementAccountUsage(
    accountId,
    totalTokens,
    inputTokens = 0,
    outputTokens = 0,
    cacheCreateTokens = 0,
    cacheReadTokens = 0,
    model = 'unknown',
    isLongContextRequest = false
  ) {
    const now = new Date()
    const today = getDateStringInTimezone(now)
    const tzDate = getDateInTimezone(now)
    const currentMonth = `${tzDate.getUTCFullYear()}-${String(tzDate.getUTCMonth() + 1).padStart(
      2,
      '0'
    )}`
    const currentHour = `${today}:${String(getHourInTimezone(now)).padStart(2, '0')}`

    // 账户级别统计的键
    const accountKey = `account_usage:${accountId}`
    const accountDaily = `account_usage:daily:${accountId}:${today}`
    const accountMonthly = `account_usage:monthly:${accountId}:${currentMonth}`
    const accountHourly = `account_usage:hourly:${accountId}:${currentHour}`

    // 标准化模型名用于统计聚合
    const normalizedModel = this._normalizeModelName(model)

    // 账户按模型统计的键
    const accountModelDaily = `account_usage:model:daily:${accountId}:${normalizedModel}:${today}`
    const accountModelMonthly = `account_usage:model:monthly:${accountId}:${normalizedModel}:${currentMonth}`
    const accountModelHourly = `account_usage:model:hourly:${accountId}:${normalizedModel}:${currentHour}`

    // 处理token分配
    const finalInputTokens = inputTokens || 0
    const finalOutputTokens = outputTokens || 0
    const finalCacheCreateTokens = cacheCreateTokens || 0
    const finalCacheReadTokens = cacheReadTokens || 0
    const actualTotalTokens =
      finalInputTokens + finalOutputTokens + finalCacheCreateTokens + finalCacheReadTokens
    const coreTokens = finalInputTokens + finalOutputTokens

    // 构建统计操作数组
    const operations = [
      // 账户总体统计
      this.client.hincrby(accountKey, 'totalTokens', coreTokens),
      this.client.hincrby(accountKey, 'totalInputTokens', finalInputTokens),
      this.client.hincrby(accountKey, 'totalOutputTokens', finalOutputTokens),
      this.client.hincrby(accountKey, 'totalCacheCreateTokens', finalCacheCreateTokens),
      this.client.hincrby(accountKey, 'totalCacheReadTokens', finalCacheReadTokens),
      this.client.hincrby(accountKey, 'totalAllTokens', actualTotalTokens),
      this.client.hincrby(accountKey, 'totalRequests', 1),

      // 账户每日统计
      this.client.hincrby(accountDaily, 'tokens', coreTokens),
      this.client.hincrby(accountDaily, 'inputTokens', finalInputTokens),
      this.client.hincrby(accountDaily, 'outputTokens', finalOutputTokens),
      this.client.hincrby(accountDaily, 'cacheCreateTokens', finalCacheCreateTokens),
      this.client.hincrby(accountDaily, 'cacheReadTokens', finalCacheReadTokens),
      this.client.hincrby(accountDaily, 'allTokens', actualTotalTokens),
      this.client.hincrby(accountDaily, 'requests', 1),

      // 账户每月统计
      this.client.hincrby(accountMonthly, 'tokens', coreTokens),
      this.client.hincrby(accountMonthly, 'inputTokens', finalInputTokens),
      this.client.hincrby(accountMonthly, 'outputTokens', finalOutputTokens),
      this.client.hincrby(accountMonthly, 'cacheCreateTokens', finalCacheCreateTokens),
      this.client.hincrby(accountMonthly, 'cacheReadTokens', finalCacheReadTokens),
      this.client.hincrby(accountMonthly, 'allTokens', actualTotalTokens),
      this.client.hincrby(accountMonthly, 'requests', 1),

      // 账户每小时统计
      this.client.hincrby(accountHourly, 'tokens', coreTokens),
      this.client.hincrby(accountHourly, 'inputTokens', finalInputTokens),
      this.client.hincrby(accountHourly, 'outputTokens', finalOutputTokens),
      this.client.hincrby(accountHourly, 'cacheCreateTokens', finalCacheCreateTokens),
      this.client.hincrby(accountHourly, 'cacheReadTokens', finalCacheReadTokens),
      this.client.hincrby(accountHourly, 'allTokens', actualTotalTokens),
      this.client.hincrby(accountHourly, 'requests', 1),

      // 添加模型级别的数据到hourly键中，以支持会话窗口的统计
      this.client.hincrby(accountHourly, `model:${normalizedModel}:inputTokens`, finalInputTokens),
      this.client.hincrby(
        accountHourly,
        `model:${normalizedModel}:outputTokens`,
        finalOutputTokens
      ),
      this.client.hincrby(
        accountHourly,
        `model:${normalizedModel}:cacheCreateTokens`,
        finalCacheCreateTokens
      ),
      this.client.hincrby(
        accountHourly,
        `model:${normalizedModel}:cacheReadTokens`,
        finalCacheReadTokens
      ),
      this.client.hincrby(accountHourly, `model:${normalizedModel}:allTokens`, actualTotalTokens),
      this.client.hincrby(accountHourly, `model:${normalizedModel}:requests`, 1),

      // 账户按模型统计 - 每日
      this.client.hincrby(accountModelDaily, 'inputTokens', finalInputTokens),
      this.client.hincrby(accountModelDaily, 'outputTokens', finalOutputTokens),
      this.client.hincrby(accountModelDaily, 'cacheCreateTokens', finalCacheCreateTokens),
      this.client.hincrby(accountModelDaily, 'cacheReadTokens', finalCacheReadTokens),
      this.client.hincrby(accountModelDaily, 'allTokens', actualTotalTokens),
      this.client.hincrby(accountModelDaily, 'requests', 1),

      // 账户按模型统计 - 每月
      this.client.hincrby(accountModelMonthly, 'inputTokens', finalInputTokens),
      this.client.hincrby(accountModelMonthly, 'outputTokens', finalOutputTokens),
      this.client.hincrby(accountModelMonthly, 'cacheCreateTokens', finalCacheCreateTokens),
      this.client.hincrby(accountModelMonthly, 'cacheReadTokens', finalCacheReadTokens),
      this.client.hincrby(accountModelMonthly, 'allTokens', actualTotalTokens),
      this.client.hincrby(accountModelMonthly, 'requests', 1),

      // 账户按模型统计 - 每小时
      this.client.hincrby(accountModelHourly, 'inputTokens', finalInputTokens),
      this.client.hincrby(accountModelHourly, 'outputTokens', finalOutputTokens),
      this.client.hincrby(accountModelHourly, 'cacheCreateTokens', finalCacheCreateTokens),
      this.client.hincrby(accountModelHourly, 'cacheReadTokens', finalCacheReadTokens),
      this.client.hincrby(accountModelHourly, 'allTokens', actualTotalTokens),
      this.client.hincrby(accountModelHourly, 'requests', 1),

      // 设置过期时间
      this.client.expire(accountDaily, 86400 * 32), // 32天过期
      this.client.expire(accountMonthly, 86400 * 365), // 1年过期
      this.client.expire(accountHourly, 86400 * 7), // 7天过期
      this.client.expire(accountModelDaily, 86400 * 32), // 32天过期
      this.client.expire(accountModelMonthly, 86400 * 365), // 1年过期
      this.client.expire(accountModelHourly, 86400 * 7) // 7天过期
    ]

    // 如果是 1M 上下文请求，添加额外的统计
    if (isLongContextRequest) {
      operations.push(
        this.client.hincrby(accountKey, 'totalLongContextInputTokens', finalInputTokens),
        this.client.hincrby(accountKey, 'totalLongContextOutputTokens', finalOutputTokens),
        this.client.hincrby(accountKey, 'totalLongContextRequests', 1),
        this.client.hincrby(accountDaily, 'longContextInputTokens', finalInputTokens),
        this.client.hincrby(accountDaily, 'longContextOutputTokens', finalOutputTokens),
        this.client.hincrby(accountDaily, 'longContextRequests', 1)
      )
    }

    await Promise.all(operations)
  }

  async getUsageStats(keyId) {
    const totalKey = `usage:${keyId}`
    const today = getDateStringInTimezone()
    const dailyKey = `usage:daily:${keyId}:${today}`
    const tzDate = getDateInTimezone()
    const currentMonth = `${tzDate.getUTCFullYear()}-${String(tzDate.getUTCMonth() + 1).padStart(
      2,
      '0'
    )}`
    const monthlyKey = `usage:monthly:${keyId}:${currentMonth}`

    const [total, daily, monthly] = await Promise.all([
      this.client.hgetall(totalKey),
      this.client.hgetall(dailyKey),
      this.client.hgetall(monthlyKey)
    ])

    // 获取API Key的创建时间来计算平均值
    const keyData = await this.client.hgetall(`apikey:${keyId}`)
    const createdAt = keyData.createdAt ? new Date(keyData.createdAt) : new Date()
    const now = new Date()
    const daysSinceCreated = Math.max(1, Math.ceil((now - createdAt) / (1000 * 60 * 60 * 24)))

    const totalTokens = parseInt(total.totalTokens) || 0
    const totalRequests = parseInt(total.totalRequests) || 0

    // 计算平均RPM (requests per minute) 和 TPM (tokens per minute)
    const totalMinutes = Math.max(1, daysSinceCreated * 24 * 60)
    const avgRPM = totalRequests / totalMinutes
    const avgTPM = totalTokens / totalMinutes

    // 处理旧数据兼容性（支持缓存token）
    const handleLegacyData = (data) => {
      // 优先使用total*字段（存储时使用的字段）
      const tokens = parseInt(data.totalTokens) || parseInt(data.tokens) || 0
      const inputTokens = parseInt(data.totalInputTokens) || parseInt(data.inputTokens) || 0
      const outputTokens = parseInt(data.totalOutputTokens) || parseInt(data.outputTokens) || 0
      const requests = parseInt(data.totalRequests) || parseInt(data.requests) || 0

      // 新增缓存token字段
      const cacheCreateTokens =
        parseInt(data.totalCacheCreateTokens) || parseInt(data.cacheCreateTokens) || 0
      const cacheReadTokens =
        parseInt(data.totalCacheReadTokens) || parseInt(data.cacheReadTokens) || 0
      const allTokens = parseInt(data.totalAllTokens) || parseInt(data.allTokens) || 0

      const totalFromSeparate = inputTokens + outputTokens
      // 计算实际的总tokens（包含所有类型）
      const actualAllTokens =
        allTokens || inputTokens + outputTokens + cacheCreateTokens + cacheReadTokens

      if (totalFromSeparate === 0 && tokens > 0) {
        // 旧数据：没有输入输出分离
        return {
          tokens, // 保持兼容性，但统一使用allTokens
          inputTokens: Math.round(tokens * 0.3), // 假设30%为输入
          outputTokens: Math.round(tokens * 0.7), // 假设70%为输出
          cacheCreateTokens: 0, // 旧数据没有缓存token
          cacheReadTokens: 0,
          allTokens: tokens, // 对于旧数据，allTokens等于tokens
          requests
        }
      } else {
        // 新数据或无数据 - 统一使用allTokens作为tokens的值
        return {
          tokens: actualAllTokens, // 统一使用allTokens作为总数
          inputTokens,
          outputTokens,
          cacheCreateTokens,
          cacheReadTokens,
          allTokens: actualAllTokens,
          requests
        }
      }
    }

    const totalData = handleLegacyData(total)
    const dailyData = handleLegacyData(daily)
    const monthlyData = handleLegacyData(monthly)

    return {
      total: totalData,
      daily: dailyData,
      monthly: monthlyData,
      averages: {
        rpm: Math.round(avgRPM * 100) / 100, // 保留2位小数
        tpm: Math.round(avgTPM * 100) / 100,
        dailyRequests: Math.round((totalRequests / daysSinceCreated) * 100) / 100,
        dailyTokens: Math.round((totalTokens / daysSinceCreated) * 100) / 100
      }
    }
  }

  async addUsageRecord(keyId, record, maxRecords = 200) {
    const listKey = `usage:records:${keyId}`
    const client = this.getClientSafe()

    try {
      await client
        .multi()
        .lpush(listKey, JSON.stringify(record))
        .ltrim(listKey, 0, Math.max(0, maxRecords - 1))
        .expire(listKey, 86400 * 90) // 默认保留90天
        .exec()
    } catch (error) {
      logger.error(`❌ Failed to append usage record for key ${keyId}:`, error)
    }
  }

  async getUsageRecords(keyId, limit = 50) {
    const listKey = `usage:records:${keyId}`
    const client = this.getClient()

    if (!client) {
      return []
    }

    try {
      const rawRecords = await client.lrange(listKey, 0, Math.max(0, limit - 1))
      return rawRecords
        .map((entry) => {
          try {
            return JSON.parse(entry)
          } catch (error) {
            logger.warn('⚠️ Failed to parse usage record entry:', error)
            return null
          }
        })
        .filter(Boolean)
    } catch (error) {
      logger.error(`❌ Failed to load usage records for key ${keyId}:`, error)
      return []
    }
  }

  // 💰 获取当日费用
  async getDailyCost(keyId) {
    const today = getDateStringInTimezone()
    const costKey = `usage:cost:daily:${keyId}:${today}`
    const cost = await this.client.get(costKey)
    const result = parseFloat(cost || 0)
    logger.debug(
      `💰 Getting daily cost for ${keyId}, date: ${today}, key: ${costKey}, value: ${cost}, result: ${result}`
    )
    return result
  }

  // 💰 增加当日费用
  async incrementDailyCost(keyId, amount) {
    const today = getDateStringInTimezone()
    const tzDate = getDateInTimezone()
    const currentMonth = `${tzDate.getUTCFullYear()}-${String(tzDate.getUTCMonth() + 1).padStart(
      2,
      '0'
    )}`
    const currentHour = `${today}:${String(getHourInTimezone(new Date())).padStart(2, '0')}`

    const dailyKey = `usage:cost:daily:${keyId}:${today}`
    const monthlyKey = `usage:cost:monthly:${keyId}:${currentMonth}`
    const hourlyKey = `usage:cost:hourly:${keyId}:${currentHour}`
    const totalKey = `usage:cost:total:${keyId}`

    logger.debug(
      `💰 Incrementing cost for ${keyId}, amount: $${amount}, date: ${today}, dailyKey: ${dailyKey}`
    )

    const results = await Promise.all([
      this.client.incrbyfloat(dailyKey, amount),
      this.client.incrbyfloat(monthlyKey, amount),
      this.client.incrbyfloat(hourlyKey, amount),
      this.client.incrbyfloat(totalKey, amount),
      // 设置过期时间
      this.client.expire(dailyKey, 86400 * 30), // 30天
      this.client.expire(monthlyKey, 86400 * 90), // 90天
      this.client.expire(hourlyKey, 86400 * 7) // 7天
    ])

    logger.debug(`💰 Cost incremented successfully, new daily total: $${results[0]}`)
  }

  // 💰 获取费用统计
  async getCostStats(keyId) {
    const today = getDateStringInTimezone()
    const tzDate = getDateInTimezone()
    const currentMonth = `${tzDate.getUTCFullYear()}-${String(tzDate.getUTCMonth() + 1).padStart(
      2,
      '0'
    )}`
    const currentHour = `${today}:${String(getHourInTimezone(new Date())).padStart(2, '0')}`

    const [daily, monthly, hourly, total] = await Promise.all([
      this.client.get(`usage:cost:daily:${keyId}:${today}`),
      this.client.get(`usage:cost:monthly:${keyId}:${currentMonth}`),
      this.client.get(`usage:cost:hourly:${keyId}:${currentHour}`),
      this.client.get(`usage:cost:total:${keyId}`)
    ])

    return {
      daily: parseFloat(daily || 0),
      monthly: parseFloat(monthly || 0),
      hourly: parseFloat(hourly || 0),
      total: parseFloat(total || 0)
    }
  }

  // 💰 获取本周 Opus 费用
  async getWeeklyOpusCost(keyId) {
    const currentWeek = getWeekStringInTimezone()
    const costKey = `usage:opus:weekly:${keyId}:${currentWeek}`
    const cost = await this.client.get(costKey)
    const result = parseFloat(cost || 0)
    logger.debug(
      `💰 Getting weekly Opus cost for ${keyId}, week: ${currentWeek}, key: ${costKey}, value: ${cost}, result: ${result}`
    )
    return result
  }

  // 💰 增加本周 Opus 费用
  async incrementWeeklyOpusCost(keyId, amount) {
    const currentWeek = getWeekStringInTimezone()
    const weeklyKey = `usage:opus:weekly:${keyId}:${currentWeek}`
    const totalKey = `usage:opus:total:${keyId}`

    logger.debug(
      `💰 Incrementing weekly Opus cost for ${keyId}, week: ${currentWeek}, amount: $${amount}`
    )

    // 使用 pipeline 批量执行，提高性能
    const pipeline = this.client.pipeline()
    pipeline.incrbyfloat(weeklyKey, amount)
    pipeline.incrbyfloat(totalKey, amount)
    // 设置周费用键的过期时间为 2 周
    pipeline.expire(weeklyKey, 14 * 24 * 3600)

    const results = await pipeline.exec()
    logger.debug(`💰 Opus cost incremented successfully, new weekly total: $${results[0][1]}`)
  }

  // 💰 计算账户的每日费用（基于模型使用）
  async getAccountDailyCost(accountId) {
    const CostCalculator = require('../utils/costCalculator')
    const today = getDateStringInTimezone()

    // 获取账户今日所有模型的使用数据
    const pattern = `account_usage:model:daily:${accountId}:*:${today}`
    const modelKeys = await this.client.keys(pattern)

    if (!modelKeys || modelKeys.length === 0) {
      return 0
    }

    let totalCost = 0

    for (const key of modelKeys) {
      // 从key中解析模型名称
      // 格式：account_usage:model:daily:{accountId}:{model}:{date}
      const parts = key.split(':')
      const model = parts[4] // 模型名在第5个位置（索引4）

      // 获取该模型的使用数据
      const modelUsage = await this.client.hgetall(key)

      if (modelUsage && (modelUsage.inputTokens || modelUsage.outputTokens)) {
        const usage = {
          input_tokens: parseInt(modelUsage.inputTokens || 0),
          output_tokens: parseInt(modelUsage.outputTokens || 0),
          cache_creation_input_tokens: parseInt(modelUsage.cacheCreateTokens || 0),
          cache_read_input_tokens: parseInt(modelUsage.cacheReadTokens || 0)
        }

        // 使用CostCalculator计算费用
        const costResult = CostCalculator.calculateCost(usage, model)
        totalCost += costResult.costs.total

        logger.debug(
          `💰 Account ${accountId} daily cost for model ${model}: $${costResult.costs.total}`
        )
      }
    }

    logger.debug(`💰 Account ${accountId} total daily cost: $${totalCost}`)
    return totalCost
  }

  // 📊 获取账户使用统计
  async getAccountUsageStats(accountId, accountType = null) {
    const accountKey = `account_usage:${accountId}`
    const today = getDateStringInTimezone()
    const accountDailyKey = `account_usage:daily:${accountId}:${today}`
    const tzDate = getDateInTimezone()
    const currentMonth = `${tzDate.getUTCFullYear()}-${String(tzDate.getUTCMonth() + 1).padStart(
      2,
      '0'
    )}`
    const accountMonthlyKey = `account_usage:monthly:${accountId}:${currentMonth}`

    const [total, daily, monthly] = await Promise.all([
      this.client.hgetall(accountKey),
      this.client.hgetall(accountDailyKey),
      this.client.hgetall(accountMonthlyKey)
    ])

    // 获取账户创建时间来计算平均值 - 支持不同类型的账号
    let accountData = {}
    if (accountType === 'droid') {
      accountData = await this.client.hgetall(`droid:account:${accountId}`)
    } else if (accountType === 'openai') {
      accountData = await this.client.hgetall(`openai:account:${accountId}`)
    } else if (accountType === 'openai-responses') {
      accountData = await this.client.hgetall(`openai_responses_account:${accountId}`)
    } else {
      // 尝试多个前缀
      accountData = await this.client.hgetall(`claude_account:${accountId}`)
      if (!accountData.createdAt) {
        accountData = await this.client.hgetall(`openai:account:${accountId}`)
      }
      if (!accountData.createdAt) {
        accountData = await this.client.hgetall(`openai_responses_account:${accountId}`)
      }
      if (!accountData.createdAt) {
        accountData = await this.client.hgetall(`openai_account:${accountId}`)
      }
      if (!accountData.createdAt) {
        accountData = await this.client.hgetall(`droid:account:${accountId}`)
      }
    }
    const createdAt = accountData.createdAt ? new Date(accountData.createdAt) : new Date()
    const now = new Date()
    const daysSinceCreated = Math.max(1, Math.ceil((now - createdAt) / (1000 * 60 * 60 * 24)))

    const totalTokens = parseInt(total.totalTokens) || 0
    const totalRequests = parseInt(total.totalRequests) || 0

    // 计算平均RPM和TPM
    const totalMinutes = Math.max(1, daysSinceCreated * 24 * 60)
    const avgRPM = totalRequests / totalMinutes
    const avgTPM = totalTokens / totalMinutes

    // 处理账户统计数据
    const handleAccountData = (data) => {
      const tokens = parseInt(data.totalTokens) || parseInt(data.tokens) || 0
      const inputTokens = parseInt(data.totalInputTokens) || parseInt(data.inputTokens) || 0
      const outputTokens = parseInt(data.totalOutputTokens) || parseInt(data.outputTokens) || 0
      const requests = parseInt(data.totalRequests) || parseInt(data.requests) || 0
      const cacheCreateTokens =
        parseInt(data.totalCacheCreateTokens) || parseInt(data.cacheCreateTokens) || 0
      const cacheReadTokens =
        parseInt(data.totalCacheReadTokens) || parseInt(data.cacheReadTokens) || 0
      const allTokens = parseInt(data.totalAllTokens) || parseInt(data.allTokens) || 0

      const actualAllTokens =
        allTokens || inputTokens + outputTokens + cacheCreateTokens + cacheReadTokens

      return {
        tokens,
        inputTokens,
        outputTokens,
        cacheCreateTokens,
        cacheReadTokens,
        allTokens: actualAllTokens,
        requests
      }
    }

    const totalData = handleAccountData(total)
    const dailyData = handleAccountData(daily)
    const monthlyData = handleAccountData(monthly)

    // 获取每日费用（基于模型使用）
    const dailyCost = await this.getAccountDailyCost(accountId)

    return {
      accountId,
      total: totalData,
      daily: {
        ...dailyData,
        cost: dailyCost
      },
      monthly: monthlyData,
      averages: {
        rpm: Math.round(avgRPM * 100) / 100,
        tpm: Math.round(avgTPM * 100) / 100,
        dailyRequests: Math.round((totalRequests / daysSinceCreated) * 100) / 100,
        dailyTokens: Math.round((totalTokens / daysSinceCreated) * 100) / 100
      }
    }
  }

  // 📈 获取所有账户的使用统计
  async getAllAccountsUsageStats() {
    try {
      // 获取所有Claude账户
      const accountKeys = await this.client.keys('claude_account:*')
      const accountStats = []

      for (const accountKey of accountKeys) {
        const accountId = accountKey.replace('claude_account:', '')
        const accountData = await this.client.hgetall(accountKey)

        if (accountData.name) {
          const stats = await this.getAccountUsageStats(accountId)
          accountStats.push({
            id: accountId,
            name: accountData.name,
            email: accountData.email || '',
            status: accountData.status || 'unknown',
            isActive: accountData.isActive === 'true',
            ...stats
          })
        }
      }

      // 按当日token使用量排序
      accountStats.sort((a, b) => (b.daily.allTokens || 0) - (a.daily.allTokens || 0))

      return accountStats
    } catch (error) {
      logger.error('❌ Failed to get all accounts usage stats:', error)
      return []
    }
  }

  // 🧹 清空所有API Key的使用统计数据
  async resetAllUsageStats() {
    const client = this.getClientSafe()
    const stats = {
      deletedKeys: 0,
      deletedDailyKeys: 0,
      deletedMonthlyKeys: 0,
      resetApiKeys: 0
    }

    try {
      // 获取所有API Key ID
      const apiKeyIds = []
      const apiKeyKeys = await client.keys('apikey:*')

      for (const key of apiKeyKeys) {
        if (key === 'apikey:hash_map') {
          continue
        } // 跳过哈希映射表
        const keyId = key.replace('apikey:', '')
        apiKeyIds.push(keyId)
      }

      // 清空每个API Key的使用统计
      for (const keyId of apiKeyIds) {
        // 删除总体使用统计
        const usageKey = `usage:${keyId}`
        const deleted = await client.del(usageKey)
        if (deleted > 0) {
          stats.deletedKeys++
        }

        // 删除该API Key的每日统计（使用精确的keyId匹配）
        const dailyKeys = await client.keys(`usage:daily:${keyId}:*`)
        if (dailyKeys.length > 0) {
          await client.del(...dailyKeys)
          stats.deletedDailyKeys += dailyKeys.length
        }

        // 删除该API Key的每月统计（使用精确的keyId匹配）
        const monthlyKeys = await client.keys(`usage:monthly:${keyId}:*`)
        if (monthlyKeys.length > 0) {
          await client.del(...monthlyKeys)
          stats.deletedMonthlyKeys += monthlyKeys.length
        }

        // 重置API Key的lastUsedAt字段
        const keyData = await client.hgetall(`apikey:${keyId}`)
        if (keyData && Object.keys(keyData).length > 0) {
          keyData.lastUsedAt = ''
          await client.hset(`apikey:${keyId}`, keyData)
          stats.resetApiKeys++
        }
      }

      // 额外清理：删除所有可能遗漏的usage相关键
      const allUsageKeys = await client.keys('usage:*')
      if (allUsageKeys.length > 0) {
        await client.del(...allUsageKeys)
        stats.deletedKeys += allUsageKeys.length
      }

      return stats
    } catch (error) {
      throw new Error(`Failed to reset usage stats: ${error.message}`)
    }
  }

  // 🏢 Claude 账户管理
  async setClaudeAccount(accountId, accountData) {
    const key = `claude:account:${accountId}`
    await this.client.hset(key, accountData)
  }

  async getClaudeAccount(accountId) {
    const key = `claude:account:${accountId}`
    return await this.client.hgetall(key)
  }

  async getAllClaudeAccounts() {
    const keys = await this.client.keys('claude:account:*')
    const accounts = []
    for (const key of keys) {
      const accountData = await this.client.hgetall(key)
      if (accountData && Object.keys(accountData).length > 0) {
        accounts.push({ id: key.replace('claude:account:', ''), ...accountData })
      }
    }
    return accounts
  }

  async deleteClaudeAccount(accountId) {
    const key = `claude:account:${accountId}`
    return await this.client.del(key)
  }

  // 🤖 Droid 账户相关操作
  async setDroidAccount(accountId, accountData) {
    const key = `droid:account:${accountId}`
    await this.client.hset(key, accountData)
  }

  async getDroidAccount(accountId) {
    const key = `droid:account:${accountId}`
    return await this.client.hgetall(key)
  }

  async getAllDroidAccounts() {
    const keys = await this.client.keys('droid:account:*')
    const accounts = []
    for (const key of keys) {
      const accountData = await this.client.hgetall(key)
      if (accountData && Object.keys(accountData).length > 0) {
        accounts.push({ id: key.replace('droid:account:', ''), ...accountData })
      }
    }
    return accounts
  }

  async deleteDroidAccount(accountId) {
    const key = `droid:account:${accountId}`
    return await this.client.del(key)
  }

  async setOpenAiAccount(accountId, accountData) {
    const key = `openai:account:${accountId}`
    await this.client.hset(key, accountData)
  }
  async getOpenAiAccount(accountId) {
    const key = `openai:account:${accountId}`
    return await this.client.hgetall(key)
  }
  async deleteOpenAiAccount(accountId) {
    const key = `openai:account:${accountId}`
    return await this.client.del(key)
  }

  async getAllOpenAIAccounts() {
    const keys = await this.client.keys('openai:account:*')
    const accounts = []
    for (const key of keys) {
      const accountData = await this.client.hgetall(key)
      if (accountData && Object.keys(accountData).length > 0) {
        accounts.push({ id: key.replace('openai:account:', ''), ...accountData })
      }
    }
    return accounts
  }

  // 🔐 会话管理（用于管理员登录等）
  async setSession(sessionId, sessionData, ttl = 86400) {
    const key = `session:${sessionId}`
    await this.client.hset(key, sessionData)
    await this.client.expire(key, ttl)
  }

  async getSession(sessionId) {
    const key = `session:${sessionId}`
    return await this.client.hgetall(key)
  }

  async deleteSession(sessionId) {
    const key = `session:${sessionId}`
    return await this.client.del(key)
  }

  // 🗝️ API Key哈希索引管理
  async setApiKeyHash(hashedKey, keyData, ttl = 0) {
    const key = `apikey_hash:${hashedKey}`
    await this.client.hset(key, keyData)
    if (ttl > 0) {
      await this.client.expire(key, ttl)
    }
  }

  async getApiKeyHash(hashedKey) {
    const key = `apikey_hash:${hashedKey}`
    return await this.client.hgetall(key)
  }

  async deleteApiKeyHash(hashedKey) {
    const key = `apikey_hash:${hashedKey}`
    return await this.client.del(key)
  }

  // 🔗 OAuth会话管理
  async setOAuthSession(sessionId, sessionData, ttl = 600) {
    // 10分钟过期
    const key = `oauth:${sessionId}`

    // 序列化复杂对象，特别是 proxy 配置
    const serializedData = {}
    for (const [dataKey, value] of Object.entries(sessionData)) {
      if (typeof value === 'object' && value !== null) {
        serializedData[dataKey] = JSON.stringify(value)
      } else {
        serializedData[dataKey] = value
      }
    }

    await this.client.hset(key, serializedData)
    await this.client.expire(key, ttl)
  }

  async getOAuthSession(sessionId) {
    const key = `oauth:${sessionId}`
    const data = await this.client.hgetall(key)

    // 反序列化 proxy 字段
    if (data.proxy) {
      try {
        data.proxy = JSON.parse(data.proxy)
      } catch (error) {
        // 如果解析失败，设置为 null
        data.proxy = null
      }
    }

    return data
  }

  async deleteOAuthSession(sessionId) {
    const key = `oauth:${sessionId}`
    return await this.client.del(key)
  }

  // 📈 系统统计
  async getSystemStats() {
    const keys = await Promise.all([
      this.client.keys('apikey:*'),
      this.client.keys('claude:account:*'),
      this.client.keys('usage:*')
    ])

    return {
      totalApiKeys: keys[0].length,
      totalClaudeAccounts: keys[1].length,
      totalUsageRecords: keys[2].length
    }
  }

  // 📊 获取今日系统统计
  async getTodayStats() {
    try {
      const today = getDateStringInTimezone()
      const dailyKeys = await this.client.keys(`usage:daily:*:${today}`)

      let totalRequestsToday = 0
      let totalTokensToday = 0
      let totalInputTokensToday = 0
      let totalOutputTokensToday = 0
      let totalCacheCreateTokensToday = 0
      let totalCacheReadTokensToday = 0

      // 批量获取所有今日数据，提高性能
      if (dailyKeys.length > 0) {
        const pipeline = this.client.pipeline()
        dailyKeys.forEach((key) => pipeline.hgetall(key))
        const results = await pipeline.exec()

        for (const [error, dailyData] of results) {
          if (error || !dailyData) {
            continue
          }

          totalRequestsToday += parseInt(dailyData.requests) || 0
          const currentDayTokens = parseInt(dailyData.tokens) || 0
          totalTokensToday += currentDayTokens

          // 处理旧数据兼容性：如果有总token但没有输入输出分离，则使用总token作为输出token
          const inputTokens = parseInt(dailyData.inputTokens) || 0
          const outputTokens = parseInt(dailyData.outputTokens) || 0
          const cacheCreateTokens = parseInt(dailyData.cacheCreateTokens) || 0
          const cacheReadTokens = parseInt(dailyData.cacheReadTokens) || 0
          const totalTokensFromSeparate = inputTokens + outputTokens

          if (totalTokensFromSeparate === 0 && currentDayTokens > 0) {
            // 旧数据：没有输入输出分离，假设70%为输出，30%为输入（基于一般对话比例）
            totalOutputTokensToday += Math.round(currentDayTokens * 0.7)
            totalInputTokensToday += Math.round(currentDayTokens * 0.3)
          } else {
            // 新数据：使用实际的输入输出分离
            totalInputTokensToday += inputTokens
            totalOutputTokensToday += outputTokens
          }

          // 添加cache token统计
          totalCacheCreateTokensToday += cacheCreateTokens
          totalCacheReadTokensToday += cacheReadTokens
        }
      }

      // 获取今日创建的API Key数量（批量优化）
      const allApiKeys = await this.client.keys('apikey:*')
      let apiKeysCreatedToday = 0

      if (allApiKeys.length > 0) {
        const pipeline = this.client.pipeline()
        allApiKeys.forEach((key) => pipeline.hget(key, 'createdAt'))
        const results = await pipeline.exec()

        for (const [error, createdAt] of results) {
          if (!error && createdAt && createdAt.startsWith(today)) {
            apiKeysCreatedToday++
          }
        }
      }

      return {
        requestsToday: totalRequestsToday,
        tokensToday: totalTokensToday,
        inputTokensToday: totalInputTokensToday,
        outputTokensToday: totalOutputTokensToday,
        cacheCreateTokensToday: totalCacheCreateTokensToday,
        cacheReadTokensToday: totalCacheReadTokensToday,
        apiKeysCreatedToday
      }
    } catch (error) {
      console.error('Error getting today stats:', error)
      return {
        requestsToday: 0,
        tokensToday: 0,
        inputTokensToday: 0,
        outputTokensToday: 0,
        cacheCreateTokensToday: 0,
        cacheReadTokensToday: 0,
        apiKeysCreatedToday: 0
      }
    }
  }

  // 📈 获取系统总的平均RPM和TPM
  async getSystemAverages() {
    try {
      const allApiKeys = await this.client.keys('apikey:*')
      let totalRequests = 0
      let totalTokens = 0
      let totalInputTokens = 0
      let totalOutputTokens = 0
      let oldestCreatedAt = new Date()

      // 批量获取所有usage数据和key数据，提高性能
      const usageKeys = allApiKeys.map((key) => `usage:${key.replace('apikey:', '')}`)
      const pipeline = this.client.pipeline()

      // 添加所有usage查询
      usageKeys.forEach((key) => pipeline.hgetall(key))
      // 添加所有key数据查询
      allApiKeys.forEach((key) => pipeline.hgetall(key))

      const results = await pipeline.exec()
      const usageResults = results.slice(0, usageKeys.length)
      const keyResults = results.slice(usageKeys.length)

      for (let i = 0; i < allApiKeys.length; i++) {
        const totalData = usageResults[i][1] || {}
        const keyData = keyResults[i][1] || {}

        totalRequests += parseInt(totalData.totalRequests) || 0
        totalTokens += parseInt(totalData.totalTokens) || 0
        totalInputTokens += parseInt(totalData.totalInputTokens) || 0
        totalOutputTokens += parseInt(totalData.totalOutputTokens) || 0

        const createdAt = keyData.createdAt ? new Date(keyData.createdAt) : new Date()
        if (createdAt < oldestCreatedAt) {
          oldestCreatedAt = createdAt
        }
      }

      const now = new Date()
      // 保持与个人API Key计算一致的算法：按天计算然后转换为分钟
      const daysSinceOldest = Math.max(
        1,
        Math.ceil((now - oldestCreatedAt) / (1000 * 60 * 60 * 24))
      )
      const totalMinutes = daysSinceOldest * 24 * 60

      return {
        systemRPM: Math.round((totalRequests / totalMinutes) * 100) / 100,
        systemTPM: Math.round((totalTokens / totalMinutes) * 100) / 100,
        totalInputTokens,
        totalOutputTokens,
        totalTokens
      }
    } catch (error) {
      console.error('Error getting system averages:', error)
      return {
        systemRPM: 0,
        systemTPM: 0,
        totalInputTokens: 0,
        totalOutputTokens: 0,
        totalTokens: 0
      }
    }
  }

  // 📊 获取实时系统指标（基于滑动窗口）
  async getRealtimeSystemMetrics() {
    try {
      const configLocal = require('../../config/config')
      const windowMinutes = configLocal.system.metricsWindow || 5

      const now = new Date()
      const currentMinute = Math.floor(now.getTime() / 60000)

      // 调试：打印当前时间和分钟时间戳
      logger.debug(
        `🔍 Realtime metrics - Current time: ${now.toISOString()}, Minute timestamp: ${currentMinute}`
      )

      // 使用Pipeline批量获取窗口内的所有分钟数据
      const pipeline = this.client.pipeline()
      const minuteKeys = []
      for (let i = 0; i < windowMinutes; i++) {
        const minuteKey = `system:metrics:minute:${currentMinute - i}`
        minuteKeys.push(minuteKey)
        pipeline.hgetall(minuteKey)
      }

      logger.debug(`🔍 Realtime metrics - Checking keys: ${minuteKeys.join(', ')}`)

      const results = await pipeline.exec()

      // 聚合计算
      let totalRequests = 0
      let totalTokens = 0
      let totalInputTokens = 0
      let totalOutputTokens = 0
      let totalCacheCreateTokens = 0
      let totalCacheReadTokens = 0
      let validDataCount = 0

      results.forEach(([err, data], index) => {
        if (!err && data && Object.keys(data).length > 0) {
          validDataCount++
          totalRequests += parseInt(data.requests || 0)
          totalTokens += parseInt(data.totalTokens || 0)
          totalInputTokens += parseInt(data.inputTokens || 0)
          totalOutputTokens += parseInt(data.outputTokens || 0)
          totalCacheCreateTokens += parseInt(data.cacheCreateTokens || 0)
          totalCacheReadTokens += parseInt(data.cacheReadTokens || 0)

          logger.debug(`🔍 Realtime metrics - Key ${minuteKeys[index]} data:`, {
            requests: data.requests,
            totalTokens: data.totalTokens
          })
        }
      })

      logger.debug(
        `🔍 Realtime metrics - Valid data count: ${validDataCount}/${windowMinutes}, Total requests: ${totalRequests}, Total tokens: ${totalTokens}`
      )

      // 计算平均值（每分钟）
      const realtimeRPM =
        windowMinutes > 0 ? Math.round((totalRequests / windowMinutes) * 100) / 100 : 0
      const realtimeTPM =
        windowMinutes > 0 ? Math.round((totalTokens / windowMinutes) * 100) / 100 : 0

      const result = {
        realtimeRPM,
        realtimeTPM,
        windowMinutes,
        totalRequests,
        totalTokens,
        totalInputTokens,
        totalOutputTokens,
        totalCacheCreateTokens,
        totalCacheReadTokens
      }

      logger.debug('🔍 Realtime metrics - Final result:', result)

      return result
    } catch (error) {
      console.error('Error getting realtime system metrics:', error)
      // 如果出错，返回历史平均值作为降级方案
      const historicalMetrics = await this.getSystemAverages()
      return {
        realtimeRPM: historicalMetrics.systemRPM,
        realtimeTPM: historicalMetrics.systemTPM,
        windowMinutes: 0, // 标识使用了历史数据
        totalRequests: 0,
        totalTokens: historicalMetrics.totalTokens,
        totalInputTokens: historicalMetrics.totalInputTokens,
        totalOutputTokens: historicalMetrics.totalOutputTokens,
        totalCacheCreateTokens: 0,
        totalCacheReadTokens: 0
      }
    }
  }

  // 🔗 会话sticky映射管理
  async setSessionAccountMapping(sessionHash, accountId, ttl = null) {
    const appConfig = require('../../config/config')
    // 从配置读取TTL（小时），转换为秒，默认1小时
    const defaultTTL = ttl !== null ? ttl : (appConfig.session?.stickyTtlHours || 1) * 60 * 60
    const key = `sticky_session:${sessionHash}`
    await this.client.set(key, accountId, 'EX', defaultTTL)
  }

  async getSessionAccountMapping(sessionHash) {
    const key = `sticky_session:${sessionHash}`
    return await this.client.get(key)
  }

  // 🚀 智能会话TTL续期：剩余时间少于阈值时自动续期
  async extendSessionAccountMappingTTL(sessionHash) {
    const appConfig = require('../../config/config')
    const key = `sticky_session:${sessionHash}`

    // 📊 从配置获取参数
    const ttlHours = appConfig.session?.stickyTtlHours || 1 // 小时，默认1小时
    const thresholdMinutes = appConfig.session?.renewalThresholdMinutes || 0 // 分钟，默认0（不续期）

    // 如果阈值为0，不执行续期
    if (thresholdMinutes === 0) {
      return true
    }

    const fullTTL = ttlHours * 60 * 60 // 转换为秒
    const renewalThreshold = thresholdMinutes * 60 // 转换为秒

    try {
      // 获取当前剩余TTL（秒）
      const remainingTTL = await this.client.ttl(key)

      // 键不存在或已过期
      if (remainingTTL === -2) {
        return false
      }

      // 键存在但没有TTL（永不过期，不需要处理）
      if (remainingTTL === -1) {
        return true
      }

      // 🎯 智能续期策略：仅在剩余时间少于阈值时才续期
      if (remainingTTL < renewalThreshold) {
        await this.client.expire(key, fullTTL)
        logger.debug(
          `🔄 Renewed sticky session TTL: ${sessionHash} (was ${Math.round(
            remainingTTL / 60
          )}min, renewed to ${ttlHours}h)`
        )
        return true
      }

      // 剩余时间充足，无需续期
      logger.debug(
        `✅ Sticky session TTL sufficient: ${sessionHash} (remaining ${Math.round(
          remainingTTL / 60
        )}min)`
      )
      return true
    } catch (error) {
      logger.error('❌ Failed to extend session TTL:', error)
      return false
    }
  }

  async deleteSessionAccountMapping(sessionHash) {
    const key = `sticky_session:${sessionHash}`
    return await this.client.del(key)
  }

  // 🧹 清理过期数据
  async cleanup() {
    try {
      const patterns = ['usage:daily:*', 'ratelimit:*', 'session:*', 'sticky_session:*', 'oauth:*']

      for (const pattern of patterns) {
        const keys = await this.client.keys(pattern)
        const pipeline = this.client.pipeline()

        for (const key of keys) {
          const ttl = await this.client.ttl(key)
          if (ttl === -1) {
            // 没有设置过期时间的键
            if (key.startsWith('oauth:')) {
              pipeline.expire(key, 600) // OAuth会话设置10分钟过期
            } else {
              pipeline.expire(key, 86400) // 其他设置1天过期
            }
          }
        }

        await pipeline.exec()
      }

      logger.info('🧹 Redis cleanup completed')
    } catch (error) {
      logger.error('❌ Redis cleanup failed:', error)
    }
  }

  // 获取并发配置
  _getConcurrencyConfig() {
    const defaults = {
      leaseSeconds: 300,
      renewIntervalSeconds: 30,
      cleanupGraceSeconds: 30
    }

    const configValues = {
      ...defaults,
      ...(config.concurrency || {})
    }

    const normalizeNumber = (value, fallback, options = {}) => {
      const parsed = Number(value)
      if (!Number.isFinite(parsed)) {
        return fallback
      }

      if (options.allowZero && parsed === 0) {
        return 0
      }

      if (options.min !== undefined && parsed < options.min) {
        return options.min
      }

      return parsed
    }

    return {
      leaseSeconds: normalizeNumber(configValues.leaseSeconds, defaults.leaseSeconds, {
        min: 30
      }),
      renewIntervalSeconds: normalizeNumber(
        configValues.renewIntervalSeconds,
        defaults.renewIntervalSeconds,
        {
          allowZero: true,
          min: 0
        }
      ),
      cleanupGraceSeconds: normalizeNumber(
        configValues.cleanupGraceSeconds,
        defaults.cleanupGraceSeconds,
        {
          min: 0
        }
      )
    }
  }

  // 增加并发计数（基于租约的有序集合）
  async incrConcurrency(apiKeyId, requestId, leaseSeconds = null) {
    if (!requestId) {
      throw new Error('Request ID is required for concurrency tracking')
    }

    try {
      const { leaseSeconds: defaultLeaseSeconds, cleanupGraceSeconds } =
        this._getConcurrencyConfig()
      const lease = leaseSeconds || defaultLeaseSeconds
      const key = `concurrency:${apiKeyId}`
      const now = Date.now()
      const expireAt = now + lease * 1000
      const ttl = Math.max((lease + cleanupGraceSeconds) * 1000, 60000)

      const luaScript = `
        local key = KEYS[1]
        local member = ARGV[1]
        local expireAt = tonumber(ARGV[2])
        local now = tonumber(ARGV[3])
        local ttl = tonumber(ARGV[4])

        redis.call('ZREMRANGEBYSCORE', key, '-inf', now)
        redis.call('ZADD', key, expireAt, member)

        if ttl > 0 then
          redis.call('PEXPIRE', key, ttl)
        end

        local count = redis.call('ZCARD', key)
        return count
      `

      const count = await this.client.eval(luaScript, 1, key, requestId, expireAt, now, ttl)
      logger.database(
        `🔢 Incremented concurrency for key ${apiKeyId}: ${count} (request ${requestId})`
      )
      return count
    } catch (error) {
      logger.error('❌ Failed to increment concurrency:', error)
      throw error
    }
  }

  // 刷新并发租约，防止长连接提前过期
  async refreshConcurrencyLease(apiKeyId, requestId, leaseSeconds = null) {
    if (!requestId) {
      return 0
    }

    try {
      const { leaseSeconds: defaultLeaseSeconds, cleanupGraceSeconds } =
        this._getConcurrencyConfig()
      const lease = leaseSeconds || defaultLeaseSeconds
      const key = `concurrency:${apiKeyId}`
      const now = Date.now()
      const expireAt = now + lease * 1000
      const ttl = Math.max((lease + cleanupGraceSeconds) * 1000, 60000)

      const luaScript = `
        local key = KEYS[1]
        local member = ARGV[1]
        local expireAt = tonumber(ARGV[2])
        local now = tonumber(ARGV[3])
        local ttl = tonumber(ARGV[4])

        redis.call('ZREMRANGEBYSCORE', key, '-inf', now)

        local exists = redis.call('ZSCORE', key, member)

        if exists then
          redis.call('ZADD', key, expireAt, member)
          if ttl > 0 then
            redis.call('PEXPIRE', key, ttl)
          end
          return 1
        end

        return 0
      `

      const refreshed = await this.client.eval(luaScript, 1, key, requestId, expireAt, now, ttl)
      if (refreshed === 1) {
        logger.debug(`🔄 Refreshed concurrency lease for key ${apiKeyId} (request ${requestId})`)
      }
      return refreshed
    } catch (error) {
      logger.error('❌ Failed to refresh concurrency lease:', error)
      return 0
    }
  }

  // 减少并发计数
  async decrConcurrency(apiKeyId, requestId) {
    try {
      const key = `concurrency:${apiKeyId}`
      const now = Date.now()

      const luaScript = `
        local key = KEYS[1]
        local member = ARGV[1]
        local now = tonumber(ARGV[2])

        if member then
          redis.call('ZREM', key, member)
        end

        redis.call('ZREMRANGEBYSCORE', key, '-inf', now)

        local count = redis.call('ZCARD', key)
        if count <= 0 then
          redis.call('DEL', key)
          return 0
        end

        return count
      `

      const count = await this.client.eval(luaScript, 1, key, requestId || '', now)
      logger.database(
        `🔢 Decremented concurrency for key ${apiKeyId}: ${count} (request ${requestId || 'n/a'})`
      )
      return count
    } catch (error) {
      logger.error('❌ Failed to decrement concurrency:', error)
      throw error
    }
  }

  // 获取当前并发数
  async getConcurrency(apiKeyId) {
    try {
      const key = `concurrency:${apiKeyId}`
      const now = Date.now()

      const luaScript = `
        local key = KEYS[1]
        local now = tonumber(ARGV[1])

        redis.call('ZREMRANGEBYSCORE', key, '-inf', now)
        return redis.call('ZCARD', key)
      `

      const count = await this.client.eval(luaScript, 1, key, now)
      return parseInt(count || 0)
    } catch (error) {
      logger.error('❌ Failed to get concurrency:', error)
      return 0
    }
  }

  // 🔧 Basic Redis operations wrapper methods for convenience
  async get(key) {
    const client = this.getClientSafe()
    return await client.get(key)
  }

  async set(key, value, ...args) {
    const client = this.getClientSafe()
    return await client.set(key, value, ...args)
  }

  async setex(key, ttl, value) {
    const client = this.getClientSafe()
    return await client.setex(key, ttl, value)
  }

  async del(...keys) {
    const client = this.getClientSafe()
    return await client.del(...keys)
  }

  async keys(pattern) {
    const client = this.getClientSafe()
    return await client.keys(pattern)
  }

  // 📊 获取账户会话窗口内的使用统计（包含模型细分）
  async getAccountSessionWindowUsage(accountId, windowStart, windowEnd) {
    try {
      if (!windowStart || !windowEnd) {
        return {
          totalInputTokens: 0,
          totalOutputTokens: 0,
          totalCacheCreateTokens: 0,
          totalCacheReadTokens: 0,
          totalAllTokens: 0,
          totalRequests: 0,
          modelUsage: {}
        }
      }

      const startDate = new Date(windowStart)
      const endDate = new Date(windowEnd)

      // 添加日志以调试时间窗口
      logger.debug(`📊 Getting session window usage for account ${accountId}`)
      logger.debug(`   Window: ${windowStart} to ${windowEnd}`)
      logger.debug(`   Start UTC: ${startDate.toISOString()}, End UTC: ${endDate.toISOString()}`)

      // 获取窗口内所有可能的小时键
      // 重要：需要使用配置的时区来构建键名，因为数据存储时使用的是配置时区
      const hourlyKeys = []
      const currentHour = new Date(startDate)
      currentHour.setMinutes(0)
      currentHour.setSeconds(0)
      currentHour.setMilliseconds(0)

      while (currentHour <= endDate) {
        // 使用时区转换函数来获取正确的日期和小时
        const tzDateStr = getDateStringInTimezone(currentHour)
        const tzHour = String(getHourInTimezone(currentHour)).padStart(2, '0')
        const key = `account_usage:hourly:${accountId}:${tzDateStr}:${tzHour}`

        logger.debug(`   Adding hourly key: ${key}`)
        hourlyKeys.push(key)
        currentHour.setHours(currentHour.getHours() + 1)
      }

      // 批量获取所有小时的数据
      const pipeline = this.client.pipeline()
      for (const key of hourlyKeys) {
        pipeline.hgetall(key)
      }
      const results = await pipeline.exec()

      // 聚合所有数据
      let totalInputTokens = 0
      let totalOutputTokens = 0
      let totalCacheCreateTokens = 0
      let totalCacheReadTokens = 0
      let totalAllTokens = 0
      let totalRequests = 0
      const modelUsage = {}

      logger.debug(`   Processing ${results.length} hourly results`)

      for (const [error, data] of results) {
        if (error || !data || Object.keys(data).length === 0) {
          continue
        }

        // 处理总计数据
        const hourInputTokens = parseInt(data.inputTokens || 0)
        const hourOutputTokens = parseInt(data.outputTokens || 0)
        const hourCacheCreateTokens = parseInt(data.cacheCreateTokens || 0)
        const hourCacheReadTokens = parseInt(data.cacheReadTokens || 0)
        const hourAllTokens = parseInt(data.allTokens || 0)
        const hourRequests = parseInt(data.requests || 0)

        totalInputTokens += hourInputTokens
        totalOutputTokens += hourOutputTokens
        totalCacheCreateTokens += hourCacheCreateTokens
        totalCacheReadTokens += hourCacheReadTokens
        totalAllTokens += hourAllTokens
        totalRequests += hourRequests

        if (hourAllTokens > 0) {
          logger.debug(`   Hour data: allTokens=${hourAllTokens}, requests=${hourRequests}`)
        }

        // 处理每个模型的数据
        for (const [key, value] of Object.entries(data)) {
          // 查找模型相关的键（格式: model:{modelName}:{metric}）
          if (key.startsWith('model:')) {
            const parts = key.split(':')
            if (parts.length >= 3) {
              const modelName = parts[1]
              const metric = parts.slice(2).join(':')

              if (!modelUsage[modelName]) {
                modelUsage[modelName] = {
                  inputTokens: 0,
                  outputTokens: 0,
                  cacheCreateTokens: 0,
                  cacheReadTokens: 0,
                  allTokens: 0,
                  requests: 0
                }
              }

              if (metric === 'inputTokens') {
                modelUsage[modelName].inputTokens += parseInt(value || 0)
              } else if (metric === 'outputTokens') {
                modelUsage[modelName].outputTokens += parseInt(value || 0)
              } else if (metric === 'cacheCreateTokens') {
                modelUsage[modelName].cacheCreateTokens += parseInt(value || 0)
              } else if (metric === 'cacheReadTokens') {
                modelUsage[modelName].cacheReadTokens += parseInt(value || 0)
              } else if (metric === 'allTokens') {
                modelUsage[modelName].allTokens += parseInt(value || 0)
              } else if (metric === 'requests') {
                modelUsage[modelName].requests += parseInt(value || 0)
              }
            }
          }
        }
      }

      logger.debug(`📊 Session window usage summary:`)
      logger.debug(`   Total allTokens: ${totalAllTokens}`)
      logger.debug(`   Total requests: ${totalRequests}`)
      logger.debug(`   Input: ${totalInputTokens}, Output: ${totalOutputTokens}`)
      logger.debug(
        `   Cache Create: ${totalCacheCreateTokens}, Cache Read: ${totalCacheReadTokens}`
      )

      return {
        totalInputTokens,
        totalOutputTokens,
        totalCacheCreateTokens,
        totalCacheReadTokens,
        totalAllTokens,
        totalRequests,
        modelUsage
      }
    } catch (error) {
      logger.error(`❌ Failed to get session window usage for account ${accountId}:`, error)
      return {
        totalInputTokens: 0,
        totalOutputTokens: 0,
        totalCacheCreateTokens: 0,
        totalCacheReadTokens: 0,
        totalAllTokens: 0,
        totalRequests: 0,
        modelUsage: {}
      }
    }
  }
}

const redisClient = new RedisClient()

// 分布式锁相关方法
redisClient.setAccountLock = async function (lockKey, lockValue, ttlMs) {
  try {
    // 使用SET NX PX实现原子性的锁获取
    // ioredis语法: set(key, value, 'PX', milliseconds, 'NX')
    const result = await this.client.set(lockKey, lockValue, 'PX', ttlMs, 'NX')
    return result === 'OK'
  } catch (error) {
    logger.error(`Failed to acquire lock ${lockKey}:`, error)
    return false
  }
}

redisClient.releaseAccountLock = async function (lockKey, lockValue) {
  try {
    // 使用Lua脚本确保只有持有锁的进程才能释放锁
    const script = `
      if redis.call("get", KEYS[1]) == ARGV[1] then
        return redis.call("del", KEYS[1])
      else
        return 0
      end
    `
    // ioredis语法: eval(script, numberOfKeys, key1, key2, ..., arg1, arg2, ...)
    const result = await this.client.eval(script, 1, lockKey, lockValue)
    return result === 1
  } catch (error) {
    logger.error(`Failed to release lock ${lockKey}:`, error)
    return false
  }
}

// 导出时区辅助函数
redisClient.getDateInTimezone = getDateInTimezone
redisClient.getDateStringInTimezone = getDateStringInTimezone
redisClient.getHourInTimezone = getHourInTimezone
redisClient.getWeekStringInTimezone = getWeekStringInTimezone

module.exports = redisClient